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Computer Network


Neural Network based Cognitive-eNodeB Deployment in LTE Uplink

Rajat Babanrao Urade, Dr. Manish Sharma

[email protected]

D.Y.PATIL C.O.E. AKURDI 44 [8]

ABSTRACT

This paper presents a random neural network (RNN) based novel framework to improve ICIC and radio

resource management (RRM) in LTE system. In order to reduce inter-cell interference (ICI), the RNN

based cognitive engine (CE) is embedded within the eNodeB which allocates optimal radio parameters to

attached users and also suggests acceptable transmit power to users served by adjacent cells.. The three

CE design features long-term learning, fast decision making, and less computational complexity essential

for the development and practical deployment of any real-time cognitive communication system and most

of the existing AI/ML based cognitive solutions in literature lack them. The performance of RNN based

optimization framework is compared with artificial neural network (ANN) and state-of-the-art fractional

power control (FPC) scheme. The result is verified and concludes with a better performance compare to

traditional.

Performance Evolution of Cooperative Massive MIMO Downlink 5G Cellular

System

Jayashree Pradip Rithe, Dr. Dilip Khairnar

[email protected]


ABSTRACT

In this Paper, Massive MIMO(multiple input multiple output) technology is proposed to 5G cellular

system which improves throughput and spectral efficiency. The system performance based on LTE

system. Cooperative Massive MIMO system contains multiple base station antennas for multiple users.

Cooperative Massive MIMO improved the system performance of Cell edge users by using Matched

Filter (MF) Pre-coding. For 5G system Massive MIMO uses a large number of antennas with an order for

magnitude more antennas than current LTE systems. MF (matched filter) Pre-coding is used at the

eNodeBs to reduce inter user interference by using asymptotical Orthogonality among users. Cooperative

Massive MIMO is used to eliminate to inter cell interference, pilot Contamination by using large number

of base station antennas used.


Dynamic Spectrum Allocation for Hybrid Access Cognitive Femtocell

Network

Sanjyot Dattatraya Godase, Trupti Wagh

[email protected]


ABSTRACT

The cognitive femtocell is an inspiring technology that solves the indoor coverage problem in future

cellular networks also Cognitive radio (CR) support dynamic spectrum access. In this paper, a new

dynamic spectrum allocation method for hybrid access cognitive femtocell is proposed. In the proposed

method, the macro base station (BS) allocates a portion of subchannels to the femto access point (FAP) to

serve the macro users (MUs). Then, the FAP allocates the subchannels and power to maximize the

femtocell network utility, whereas the throughput of the served MUs is guaranteed.

Improvement of NFCA an Energy efficient Routing protocol by combining

ModLEACH and PEGASIS in WSN

Ruts Ajay Kale, Mrs. Sayali N. Mane

[email protected]


ABSTRACT

The objective of reducing energy consumption at the sensor nodes has become a key research area for

wireless sensor networks (WSNs) in recent years. With the steady increase in the cost of energy, the

existing algorithms and protocols need to be redeveloped. In this paper, a combination of 3 different

energy-efficient routing protocols, ModLEACH (Modified Low energy adaptive clustering hierarchy),

PEGASIS (Power-Efficient Gathering in Sensor Information Systems) and NFCA (Nearest Fixed

Clustering Algorithm) which forms fixed clusters is proposed to boast the performance even more,

considering metrics of throughput, network life and cluster head replacements. Energy consumption,

average packet delivery ratio, throughput for ModLEACH, PEGASIS, NFCA are measured

independently, and NFCA by combining ModLEACH and PEGASIS in WSN with more number of

nodes to transmit the packets from source to destination are implemented and outputs are shown using

graphs, with parameters like Energy consumption, Average packet delivery ratio, Throughput for NFCA

are measured and outputs are shown using graphs.

SELF-COHERENT OFDM WITH UNDERSAMPLING DOWN-

CONVERSION FOR WIRELESS COMMUNICATION


Kadri Abbas Yasin, Dr. Mukund Wani

[email protected]

Dr. D Y Patil School of Engineering and Technology via Lohgaon, Charholi [103]

ABSTRACT

Orthogonal frequency-division multiplexing (OFDM) is a technique for encoding digital information on

numerous carrier frequencies. OFDM has formed into a well-known plan for wideband digital

communication, utilized in applications such as digital television and audio broadcasting, DSL Internet

access, wireless networks, power line networks, and 4G mobile communications. OFDM is a frequency-

division multiplexing (FDM) scheme utilized as a digital multi-carrier modulation technique. A large

number of closely spaced orthogonal sub-carrier signals are utilized to convey information on a few

parallel information streams or channels. Each sub-carrier is modulated with a conventional modulation

scheme (such as quadrature amplitude modulation or phase-shift keying) at a low symbol rate, keeping up

aggregate information rates similar to conventional single-carrier modulation schemes in the same

bandwidth. We adopt a under sampling down-conversion strategy in conjunction with self-intelligible

OFDM. We demonstrate that with the self-intelligent demodulation, the extra PN presented by under

inspecting down-change can be essentially lessened. We think about diagnostically the framework

execution of self-coherent OFDM utilizing under sampling down-conversion with two other conventional

OFDM frameworks: one with super-heterodyne recipient and the other with under sampling down-

conversion. We demonstrate theoretically and by simulations that both in AWGN and frequency selective

fading channels, self-coherent OFDM with under sampling down conversion outperforms the two

conventional OFDM frameworks notwithstanding when intermarried interference (ICI) compensation

schemes are applied.

Peak cancellation scheme for reducing PAPR in OFDM

Kamble Damayanti Dattatraya, Prof. Vishal Katekar

[email protected]


ABSTRACT

In every wireless communication system in the power amplifier (PA) is use for transmitting and receiving

the signal as long as. If we design the PA using different hardware it’s required more component and time

.PA is the most power-hungry component in a wireless base station transmitter, and reducing the peak-to-

average power ratio (PAPR) of wireless signals is an important issue for its effective use. In this paper,

we focus on implementation of the peak cancellation (PC) technique for multiple signal, which is known

as the simplest method for PAPR reduction. Peak cancellation (PC) is known as one of the simplest peak-

to-average power ratio (PAPR) reduction techniques that are applicable to various communications

standards. The basic advantage of PC is its easy for hardware implementation, but it induces in-band

distortion and out-of-band radiation. In order to restrict the amount of distortion within an acceptable

level, it is critical to carefully design the cancelling pulses as well as the envelope threshold over which

PC is applied.


Implementation of Share Based Image Encryption Method

Rozario Fiona Francis, Dr. Mukund G Wani

[email protected]


ABSTRACT

Encryption being an integral part of any

communication today, it is important that the encryption

algorithm be simple, convenient and yet effective without

demanding overheads of storage and large computational times.

This paper presents the results of implementing the share-based

method of image encryption, which fulfills the said requirements.

Resource Allocation For Cognitive Radio-Enabled Femtocell Networks

Ashtekar Mahadev Chandrakant, Dr. Mukund Wani

[email protected]


ABSTRACT

Conveying femtocells underlying macrocells is a promising approach to enhance the limit and improve

the scope of the cell frameworks. Be that as it may, such a two-level system too offers ascend to cross-

level and intra-level obstruction issue that ought to be tended to appropriately so as to obtain the potential

execution pick up. In this paper, we concentrate the Resource Allocation (RA) issue in a two-level

Orthogonal Frequency Division Multiplexing Get to (OFDM)- based heterogeneous cell arrange, where

the femtocells that utilize shut get to procedure are prepared with Cognitive Radio (CR) capacity to

recognize radio environment so they can impart subchannels to the macrocells without producing

unreasonable impedance to the Macrocell Users (MUs) which fall into the scope of the femtocells. Here,

define an enhancement undertaking to amplify the whole throughput of the Femtocell Users (FUs) under

the thought of blemished range detecting and channel vulnerability, while controlling the impedance to

the MUs beneath their tolerable limits in the feeling of likelihood. We introduce a conservative convex

approximation to the formulated problem and develop a fast algorithm to solve it by exploiting its

structure. Simulation results show our proposal can improve the throughput of the FUs without almost no

changes of the infrastructure of the cellular network.


System for Detecting and Monitoring Harmful Emissions

Sneha Nagarkar, Dr.Bhavna Ambudkar

[email protected]

Dr. D. Y. PATIL IoET, PUNE [024]

ABSTRACT

Today, Information and Communication Technology (ICT) devices are being used in almost

every field and have become an important part of our lives. The versatility these devices has not only

changed our way of thinking but has also accelerated the rate development many times.

Electromagnetic field radiations and carbon footprints from the ICT devices and pollution creating

entities in the surroundings are becoming ubiquitous within the environment which further is causing

various health problems to the device users. So, there is a need to control and reduce these harmful

emissions. Green communication does have the potential to significantly reduce these

harmful

emissions worldwide. In this paper, we are presenting the research done and proposed system for

radiation detection and monitoring from ICT devices and green communication technologies to help

control and the effects of emissions

Performance Enhancement in Coginitive Radio using Artificial Neural

Network

Nilambika Jawalkote, Prof.Mahua Bhowmik

[email protected]


ABSTRACT

The cognitive Radio is becoming popular in communication systems due to its dynamic spectrum sensing

technology. Due to its dynamic spectrum sensing it allow effective use of vacant spaces that are not fully

utilized for the communication. As any change in one of Quality Of Service (QOS) parameter affect the

performance of total system due to inter-dependability of parameters we have to carefully determine the

parameters value like threshold, transmission power. After determining these values carefully we can use

artificial neural network to enhance performance of system. Artificial Neural Network can be

implemented with actor- critic structure which provide methods for learning optimal control solutions

using its training data.


Wireless Sensor Networks Application for Human Safety In Disaster

Management using 5G Network

Pankaj Kolhe, Prof. S.D. Chavan

[email protected]


ABSTRACT

To increase road and area awareness to public /human safety in case of accident happen with hazard’s

substance carrying vehicle, gas or fuel tanker on road. Accident may create different issue on road

because oil spared on road other vehicle may skid or Gas leakage or fire in vehicle may crate problem to

nearby residents people and travelling people.

So our aim to detect such accident and inform respective authority and aware this information to nearby

people and resident people by wireless using speed of 5G Network.

This network can give actual location of victim vehicle , inform to respective authority vehicle speed is

crossing its limit, driver may drunk while driving to avoid such accident, due to accident this Information

can be given to people over mobile or internet who are in that area of cell.

TSS: An Energy Efficient Communication Scheme For Wireless Sensor

Networks

Archana Kumbhar, Dr.Lalit Wadhwa

[email protected]


ABSTRACT

WSN consist of large number of self organized sensor nodes with sensing, computation and wireless

communication capabilities. These sensor node are distributed in monitored area used to collect, transmit

and process data. In WSN it is very difficult to charge or replace the batteries, thus energy efficient

communication is important part in WSN. Such a wireless sensor networks typically require low cost

devices and low power operations. Hence, this networks usually employ radios with only simple

modulation techniques such as ASK, OOK and FSK . In this paper, we proposed anenergy efficient

communication scheme for wireless sensor networks that is based on the ternary number system encoding

of data called as Ternary with Silent Symbol (TSS). In this system silent symbol technique is used to

convert data from binary to ternary.TSS savse the energy simultaneously both at transmitter and receiver.

Interference Mitigation Approach in Massive MIMO Towards 5G Networks

Ekta Srivastava, Dr.A.V.Kulkarni


[email protected]


ABSTRACT

During the recent years, the requirement of higher data rates has been increasingly growing to gratify

consumer’s desire for quicker and smarter wireless network. Existing wireless system has crunch in

spectrum resources in turn making is difficult to increase the performance in limited bandwidth. 5G

technology has solution to this problem. Large network capacity, ultra-low latency and heterogeneous

device support are the important features in 5G Technology. 5G Technology is built on multi-tier

architecture using several low power Base Stations (BSs) inside small cell. Simultaneous usage of the

same spectrum causes interference which further reduces the system throughput and network capacity.

Using resource management in 5G interference between devices can be minimized. In this work we

introduce feedback on cell association and antenna allocation algorithms based on the evolutionary game

theory for interference mitigation.

Localization Based Energy Improvement of WSN in Disaster Condition

Niharika Sharna, Prof.S.D.Chavan

[email protected]


ABSTRACT

Wireless sensor network is a network of many sensor nodes, having wireless channel to communicate

with each other without any centralized control and predefined communication link by which it can

transfer signal to the exterior world. One of the major usages of WSN is in Disaster Management. WSN

utilize the technologies which can cause an alert and the immediate rescue operation can be triggered

whenever the disaster occurs. Sensor nodes are tiny device which sense the surrounding environment and

send the processed data to main station using routing protocol. The main challenge of WSN is energy

efficient routing to save the energy of nodes as these tiny devices are limited battery operated. In this

project, for efficient disaster management we propose localization based energy improvement - Ant

colony optimization (ACO) algorithm which utilizes RSSI localization technique to locate the sensor

node and energy improvement is done by estimating distance value through RSSI i.e. transmission power

is adjusted according to the distance parameter of each node. This approach is implemented into ACO

algorithm which is highly suitable for finding the adaptive routing for network

Design and Simulation of ABC Algorithm using RSSI in WSNs

Ankit P. Datey, Prof. S.D. Chavan

[email protected]



ABSTRACT

Wireless Sensor Network (WSN) is a self organized and self managed network. WSN is decentralized by

a collection of mobile nodes. The major problem in WSN is fast changing nature due to the random

movement of the nodes. Routing is the process of moving information across the network from a source

to a destination. In case of disaster, routing becomes challenging in this type of networks. For the disaster

management, there is no direct method presented so far in WSN. However there are different optimization

techniques such as PSO (Particle Swarm Optimization), GA (Genetic Algorithm) etc. are designed for

nodes localization and corrections. In this project, we are designing the novel ABC (Artificial Bee

Colony) based routing protocol for efficient disaster management. The proposed approach is based on two

new contributions in existing ABC method such as clustering and RSSI (Received Signal Strength

Interface) to achieve optimum routing performance.

Environmental and dynamic assessment of electronic products as per

automotive standard and technique to improve reliability

Sreekumar U, Dr.Shreenivas Jog

[email protected]


ABSTRACT

This paper presents the work done in the area of assessment of electronic product reliability and the

methods of reliability prediction. GPS based system used as a model to predict reliability. Simulation soft

wares are used to predict the system reliability. This will identify dominant failure affecting the reliability

of automotive electronics and the mitigation technique used to increase the reliability.

EMI / EMC assessment of Automotive Electronics Products & Proposing

mitigation techniques for improvement in compatibility of equipments as per

Automotive EMI /EMC Standard AIS 004

Dere Amol Kailas, Dr.Shreenivas Jog

[email protected]


ABSTRACT

The Main objective of the paper is to investigate Radiated and Conducted Emission fromGPS coordinates

transmission systemand to make the system compatible with AIS004 Part 3 EMI/EMC standard. This


board consists of WIFI, BLUETOOTH and GSM technology. The Emission from GSM Board,GPS

Receiver Board ,Bluetooth board and WIFIBoard had been measured with HAMEG make Line

Impedance Stabilization Network (LISN) and Agilent Spectrum analyzer E-4411B. Conducted Emission

levels were measured with and without RFI filter used in power supply section of the system. The

Conducted Emission level was found to be around 50 dBV. With addition of RFI Filter, the Conducted

Emission level found to be reduced by around 15 dB to 20 dB. These levels are compared with MIL-

461E, FCC and CISPR Standards for Conducted Emission. GPS coordinates transmission system with

RFI Filter could meet compatibility requirements with AIS 004 part3 EMI/ EMC Standards.

To maximize Energy Efficiency in WSN using ACO

Dhanashri V. Kadam, Prof.P.H.Kulkarni

[email protected]


ABSTRACT

The use of wireless sensor networks (WSNs) is very common and frequently required for diverse set of

applications such remote monitoring, forecasting, security etc. Since from the last two decades, the most

widely studied research problem in WSNs is network lifetime performance due to the limitations on

battery of sensor nodes. There are some recent techniques presented to solve problem of maximizing the

WSNs lifetime under the different domains. However, energy efficiency is still the open research problem

for WSNs. The optimization method called ant colony optimization (ACO) shown the promising

performance for improving the energy efficiency in WSNs recently. With this motivation, in this paper,

we are presenting the modified ACO based routing method with goal of maximizing network lifetime of

WSNs and energy efficiency. The proposed application is based on technique of two contributions, first is

searching maximum disjoint connective covers in order to satisfy the requirement of network connectivity

as well as sensing coverage. This solves the problem of searching and network connectivity and hence

improves the energy efficiency using ACO. Secondly, we contributed by using optimum path selection

for data transmission by considering the energy constraints of sensor nodes based on set of pre-defined

rules. This helps to improve the network lifetime of WSNs. The results show that performance of

proposed ACO method is better as compared to previous variants of ACO.

Applications of Wavelet transform Curvelet transform and their combination

in Image De-noising

Madhuri Manohar Pawar, Dr.Deepali Sale

[email protected]



ABSTRACT

Medical images are captured with different techniques such as Computed Tomography, Magnetic

Resonance Imaging (MRI), Ultrasound and X-ray. Noise is added in these images during image capturing

and transmitting process. It reduces the image quality. Medical image contains various types of noise such

as Gaussian noise, random noise etc. Image de-noising techniques are used to remove the noise or

distortion from the images while preserving the important features of the image. In this paper, we first

added different noise such as Gaussian and Random noise in the medical images. Then we applied

Wavelet Transform and Curvelet transform on noisy images to de-noise the images. A quantitative

analysis of these de-noised images is performed using the parameters like Peak signal to noise ratio,

Universal Image Quality index and Structural Similarity Index Measure (SSIM).

Predictive learning model in Cognitive Radio using Reinforcement Learning

Sharada Tubachi, Dr.Mithra V.

[email protected]


ABSTRACT

Drastic change in the technology of wireless devices and application increases the demand of wireless

spectrum. Conventional fixed spectrum allocation method is unable to satisfy tremendous spectrum needs

resulting in bottleneck condition. To overcome from this problem Cognitive Radio is comes into the

picture. Cognitive Radio is a wireless radio that can detect available unused channels in a wireless

spectrum automatically and share the unused channels to secondary users and also improve radio

operating behavior without interfering with primary users. In this paper we studied a reinforcement

learning technique to predict the throughput using the CACLA algorithm. The performance metrics of

learning such as execution time, average throughput predicted and the variance of throughput predicted

has been observed using MATLAB simulator.

Design and Performance Evaluation of an Energy Efï¬•cient Routing

Protocol for Wireless Sensor Networks

Archana Ashok Patil, Prof.P.H.Kulkarni

[email protected]


ABSTRACT

In recent years, the advancements in wireless Communications and electronics have enabled the

development of lowcost,low-power and multi-functional Wireless Sensor Networks (WSNs). As nodes in


sensor networks are equipped with a limited power source, efficient utilization of power is a very

important issue in order to extend the network lifetime. In this paper, a routing protocol namely GAICH

(Genetic Algorithm Inspired Clustering Hierarchy) that provide efficient energy management for WSNs is

proposed. This protocol makes use of Genetic Algorithm(GA) to create optimum clusters in terms of

energy consumption. Using a standard radio energy dissipation model that is used for the simulation of

WSNs, the performance of this algorithm is simulated and compared with an already existing LEACH

routing protocol for WSNs.

INTEREFERENCE MINIMIZATION APPROACHES IN 5G NETWORK

Mayuri Jundhare, Dr.A.V.Kulkarni

[email protected]


ABSTRACT

The Mobile and wireless communications Enablers for the Twenty-twenty Information Society (METIS)

project is laying the foundations of Fifth Generation (5G) mobile and wireless communication system

putting together the point of view of vendors, operators, vertical players, and academia. Femtocells are an

effective method for decreasing foundation costs while giving better information rates and scope. High

entrance is normal in the up and coming ultra-thick 5G systems, expanding the likelihood of femtocells'

bunches. Solid coming about obstruction for close-by non-subscribed clients will require obstruction

relief systems. In this paper we introduce a system where different femtocells arrange their transmission

to serve numerous non-subscribed clients through crossover get to. To start with, the range portion of

non-subscribed clients by femtocells is resolved. At that point, we present a power control calculation that

depends on two components. The requirement for pay for the subscribed clients, because of lessened

range, furthermore, the impact that any adjustment in power transmission will have on neighboring

femtocells. We assess the viability of the calculation through reproductions on individual throughput and

general accomplished limit.

Enhancing Security through Multimodal Biometric System

Priyanka Tekade, Prof.Priti Shende

[email protected]


ABSTRACT

Personal identification is a critical issue for various applications such as access control, electronic

commerce, banking, communications etc. Multi biometric based recognition technique is more secure

than the conventional password based technique. When two or more biometrics used for identification of


person then the system called as Multimodal Biometric system. In this paper, we are going to propose a

robust security system for personal identification using multimodal biometric system. Three modalities

are used in this system face, fingerprint and palm vein. Feature extraction is done with different algorithm

of each modality. Local Binary Pattern (LBP) algorithm is used for face feature extraction. Discrete

Wavelet transform (DWT) is used for Palm vein feature extraction. And minutiae algorithm is used for

finger print feature extraction. Then feature level fusion is done. The proposed method is carried on self

generated database images. Finally the more accurate results are achieved. In future, we can further

enhance the security adding some encrypted key after fusion.

Simulation of Energy-Efficient Transmission Scheme inn WSNs by using CNS

Pooja Nile, Dr.Lalit Wadhwa

[email protected]


ABSTRACT

Wireless Sensor Networks (WSNs) are resource constrained in terms of limited battery energy,

bandwidth, memory, and processing performance. The energy consumption is the major research issues

due to limited battery power while designing the algorithms and routing protocols for WSNs. At every

level of WSN operations such as computing, routing, sensing etc. efficiency in energy is required. The

consumption of energy in radio communication is majorly depends on number of bits of data which is to

be transmitted between sensor nodes. The bits are then encoded into the packets during the transmission

process through the routing protocol. The consumption of energy can be reduced by compressing the bits

before transmitting at transmitter. Compression helps to reduce the total number of bits to be transmitted

and hence resulted into energy consumption reduction and improves the network lifetime. In this paper,

we are presenting the Compression with Null Symbol (CNS) method and the modified CNS (MCNS)

compression methods while transmitting data from transceiver to receiver in WSNs. MCNS is based on

existing CNS technique by using the adaptive fuzzy based encoding algorithm with CNS technique. The

CNS and MCNS are designed as WSNs routing protocols and compare their performance in terms of

energy efficiency, network lifetime and data rate performance using NS2

Driver Safety Approach Using Efficient Image Processing Algorithms for

Driver Distraction Detection and Alerting

Omar Wathiq, Dr.Bhavna Ambudkar

[email protected]


ABSTRACT


Now days there is increasing road accidents due to different reasons. Road accidents are prone to number

human deaths. There are different reasons leads to road accidents, but drivers fatigue or distraction is

main threat in major accidental cases. Therefore, recently various methods explained by many authors for

early detection of driver drowsiness in order to prevent accidents on road. In this paper we are presenting

the novel approach called hybrid method in which automatic care of driver safety and hospitality

management services. Our approach aims at determining first if a driver is distracted or not based yawing,

eye position, head position, mouth position etc., second if driver is detected as distracted instance

alarming will perform on both driver side and near hospital services in order to be available in case of

accident happen. Based on computer vision techniques, we propose four different modules for features

extraction, focusing on arm position, face orientation, facial expression and eye behaviour and then the

outputs of all this phases combined together and feed to the classifier feed forward neural network

(FFNN) for alarming the distraction detection and type of distraction. The outcome of this paper is

efficient driver safety approach by considering the RGB-D sensor and image processing algorithms.

Wearable Technology - Implementing the physical web using bluetooth low

energy

Ankita Singh, Prof. A.M. Patki

[email protected]

INDIRA COE & MANAGEMENT, PUNE [052]

ABSTRACT

BluetoothLow Energy: a new low power sensor network technology was introduced in this paper. It’s not

that BLE wireless communication is not only very low power consumption but it can be very easy to co-

operate with smart terminators like smart phones and tablet PCs.We have estimated power consumption

of BLE and reported some BLE applications we are developing, including a wearable health thermometer

smart manufacturing over BLE (SMoB) technology for industrial 4.0 within this paper.

FACEBOOK BASED HOME APPLIANCES SECURITY CONTROL AND

MONITORING USING MICROCONTROLLER

Vineet Pratap Singh, Prof. Urmila Deshmukh

[email protected]


ABSTRACT


The real-time home appliance status is currently created in various fields. New innovation is important to

prepare the extensive measure of status data that is gotten each day. A creative technology that has as of

late been utilized to process a lot of information is cloud computing. Thusly, a model to control and

monitor home apparatuses utilizing Facebook in a smart home environment is proposed in this paper. In

the proposed strategy, the Facebook verified and preloaded Ethernet device collects and stores home

appliance information and sends the information to the Facebook user page. This information can be

shared to approved client or user via social networking sites to fulfill home automation. Flexible

embedded processor and with the support of open source packages the required camera framework and

systems for Facebook administration and one time password management are implemented. The

framework created gives easy to use automation for security of home utilizing Facebook and can be

enhanced in future utilizing bio metric validation. The user can control the appliances of smart home by

sending commands from their Facebook account.

SMART HUMAN BODY MONITORING AND MANAGEMENT USING

IOT, BASED ON MATLAB AND ARM11

Pallavi Gajbhiye, Prof A.M.Patki

[email protected]


ABSTRACT

Abstract â€”Each With the multiplication of Internet of Things (IOT) gadgets, for example,

Smartphone's, sensors, cameras, it is conceivable to gather enormous measure of information for

confinement and following of Health of the patient. This venture portrays the outline of a straightforward,

ease controller based patient wellbeing checking framework. This instrument utilizes a basic Opto

electronic sensor, helpfully strapped on the finger, to give nonstop sign of the beat digits. The Pulse

screen works both on battery or mains supply. It is perfect for nonstop observing in operation theaters,

I.C. units, biomedical/human designing studies and games pharmaceutical. This project utilizes managed

5V, 750mA power supply. 7805 three terminal voltage controller is utilized for voltage direction. Connect

sort full wave rectifier is used to redress the ac yield of auxiliary of 230/12V stage down transformer.

Lung Health analyzer will be shown on the LCD show which is associated with the Micro controller.

Protocol Implementation of Secured Wireless Sensor Networks in Chemical

industry

Rushikesh Bhapkar, Prof. Anjali Patki (Hod E&Tc)

[email protected]



ABSTRACT

This project propose a bandwidth-efficient authentication scheme in Wireless sensor network. In Wireless

sensor network any node can be compromised by inserting incorrect data into the wireless node because

of that anyone can gain unauthorized control over that node. In this project we are

proposing/demonstrating the algorithm which will filter the incorrect the data by adding secured

authentication mechanism within the node while transferring the data.

Reflective Optical Programmable Encoder

Hanumant Nawale, Bhagwat D.S

[email protected]


ABSTRACT

Control on motion system can be derived

by various way, To achieve this control and perfection

in the work and less losses to get higher efficiency and

more production various transducers are used being

different technology biased are available but here

technology explained is integration of reflective

photodiode with inbuilt Blue led with interpolation

techniques for achieving higher Resolutions in

arrangement of x2and x4 .Reflective optical with

interpolation is the correct solution for motion control

applications ,In addition of Blue led technology

provides product design is very compact


Highly Secured IoT based HealthCare System for Elderly People using Body

Sensor Network

Snehal Sanjay Kale, Dheeraj S Bhagwat

[email protected]


ABSTRACT

Advances in information and communication technologies have led to the emergence of Internet of

Things (IoT). In the advanced medicinal service environment, the utilization of IoT technologies brings

convenience of physicians and patients since they are applied to different medical areas (for example,

real-time monitoring, patient information management, and healthcare management). The body sensor

network (BSN) technology is one of the core technologies of IoT developments in healthcare system,

where a patient can be monitored utilizing a collection of tiny-powered and lightweight wireless sensor

nodes. This paper presents a low cost and flexible body sensor network system using an embedded micro-

web server, with IP connectivity for getting and controlling the remotely using Android based Smart

phone app. To demonstrate the feasibility and viability of this system, devices such as light switches,

power plug, temperature sensor and current sensor have been integrated to design propose a secure IoT

based healthcare system using BSN, called BSN-Care, which can effectively fulfill those requirements. It

is very important to monitor various medical parameters and post operational data. To get the patient’s

medical parameters in local and remote area, healthcare communication using Internet of Things (IoT)

method is adapted. The main objective of this paper is to transmitting the patient’s health monitoring

parameters through wireless communication. These input data are uploaded in cloud server and

transmitted to the computer and mobile for family and specialist's reference.

COTS Based Low Energy Multiprocessor Embedded System- A Hardware

Platform COTS Based Low Energy Multiprocessor Embedded System- A

Hardware Platform

Utpal Manna, Shweta Banait

[email protected]


ABSTRACT

In this paper we proposed a framework which can enhance the wellbeing and security in vehicle.Uniting

the Global Positioning system innovation this article plans and acknowledges one sort of embedded

wireless system named intelligent vehicle control for critical remote location application utilizing ARM 7

microcontroller from the hardware and software. Regarding the hardware finished the design and

connection of ARM embedded framework, GPS module, different parameter monitoring sensor modules

and the GSM module. To design complex embedded systems while diminishing the improvement time

and cost, there is an awesome propensity to utilize commercial off-the-shelf (â€œCOTSâ€•) devices. At

system level, dynamic voltage and frequency scaling (DVFS) is amongst the best systems for energy


diminished. Regardless, widely utilized COTS processors either don't have DVFS or apply DVFS just to

processor cores. To accomplish energy saving, DVFS is obliged the whole microcontroller (including

core, phase-locked loop, memory, and I/O). Besides, facilities are given for testing with fault-tolerance

methods. Despite the fact that the stage is intended for ARM-based embedded frameworks, our approach

is general and can be connected to different sorts of frameworks.

FACE RECOGNITION AND AUTHENTICATION USING LBP AND BSIF

Amrata Patil, Miss. Meenakshi Patil

[email protected]


ABSTRACT

In this paper, a face recognition and authentication method that can detect and eliminate the presence of

the mask is proposed. The proposed method utilizes facial features, which are captured locally and

globally to distinguish between a mask and a real face. The features employed here are extracted from the

whole face as well as the eye and nose regions that are expected to provide a clue on the presence of the

mask. Here, Local binary pattern (LBP) and Binarized Statistical Image Features (BSIF) are utilized to

extract the texture features of the face for recognition. Then for classification Euclidean distance classifier

is used whose scores are fused using the weighted sum rule for making the decision about a real face or a

mask attack. 3D mask database 3DMAD is used for testing the algorithm

Protocol Implementation of Secured Wireless Sensor Networks in Chemical

industry

Rushikesh Bhapkar, Prof. Anjali Patk

[email protected]


ABSTRACT

This project propose a bandwidth-efficient authentication scheme in Wireless sensor network. In Wireless

sensor network any node can be compromised by inserting incorrect data into the wireless node because

of that anyone can gain unauthorised control over that node. In this project we are

proposing/demonstrating the algorithm which will filter the incorrect the data by adding secured

authentication mechanism within the node while transferring the data.


Performance analysis of resource scheduling in LTE Femtocell network

Truptisharadjakkulwa, Meenakshipatil

[email protected]


ABSTRACT

The long term evolution -

advanced(LTE-A)basedheterogeneous

networkshasstartedfocusontheFemto

basedcelldeployment.TheseFemtocells

arelowpoweredintelligentdevices,which

are placed in the random passion at

home and office premises. Such

arrangement has benefited the

customersandserviceprovidersinterm

of network coverage and spectraefficiency.In this paper,the resource

allocationstrategyisimproved.Thenthe

scheduling algorithm makes use of

adaptive modulation and coding

techniquebyreferringtheCQIparameter.

Convolutional Neural Network For Detection and Classification of Interstitial

Lung Diseases

Namrata Bondfale, Shweta Banait

[email protected]


ABSTRACT

Automated tissue characterization is standout amongst the

most essential parts of computer aided diagnosis (CAD) system for

interstitial lung diseases (ILDs).Deep learning strategies provides

impressive results in variety of computer vision problems such as

medicinal picture investigation. In this paper, we plan and evaluate a

convolutional neural network (CNN) for the classification of ILD

patterns. The proposed system comprises of 5 convolutional layers with

2X2 bits and LeakyReLU activations, trailed by normal pooling with

size similar to the span of the last component maps and three thick

layers. The last thick layer has 7 defer, equivalent to the classes

considered solid, ground glass opacity (GGO), micro nodules,

consolidation, reticulation, honeycombing and a combination of


GGO/reticulation. Future work incorporates extending CNN to

three-dimensional data (information) gave by CT volume scans and

integrating the proposed method into CAD framework that intends

differential diagnosis for ILDs as a strong device for radiologists.

RECONFIGURABLE ARCHITECTURE BASED ON FPGA FOR OFDM

TRANSMITTER

Swami Shephali Vijaykumar, Prof. V.B Raskar

[email protected]

JSPM's COLLEGE OF ENGG & RESEARCH, WAGHOLI [051]

ABSTRACT

OFDM is a special case of multi-carrier modulations, which is of great use in various wireless

communications, such as DAB, DVB, HDTV, CMMB, TMMB, 802.11a. The OFDM frame structure is

similar to each other. Nowadays, wireless mobile communications have expanded dramatically all over

the world, leading to a need to increase their bandwidth capacity. One way to increase the capacity of a

wireless mobile communication system is to improve the communication technology. Orthogonal

Frequency Division Multiplexing (OFDM) is considered the technology for the next-generation

broadband wireless systems. Therefore, the main communication blocks must be designed with high

capability in terms of configurability. This paper presents the architecture and implementation of a

reconfigurable Orthogonal Frequency Division Multiplexing transmitter with such capabilities. This

transmitter supports 4/16/64-QAM (Quadrature Amplitude Modulation) modulation in superimposed

training (ST) and data-dependent superimposed training (DDST). The proposed architecture is capable of

generating frames for the Long Term Evolution standard and with minimal modifications can also

generate frames for IEEE 802.11a and 802.11g standards. Results have shown a moderate good SQNR

performance of 50 dB average.

Invisible Video Watermarking For Secure Transmission Based On Dwt And

Pca.

Narute Ratnagouri Balasaheb, Prof. Siddhasen R Patil

[email protected]

MIT PUNE [002]

ABSTRACT

We present a new invisible robust non blind watermarking scheme. In this proposed algorithm cover

video is divided into frames and watermark is inserted into selected frames. For selected video frames


two-dimensional single level discrete wavelet transform is carried out on luminance component. The

proposed scheme embeds the monochrome (logo) watermark into the high and middle {HL, LH, HH}

frequency bands of luminance channel of the video. The Red (R), Green (G) and Blue (B) channels of

video are transformed into YUV Channels, the Luminance channel of video is decomposed using Discrete

Wavelet Transformation (DWT), and then the high and middle frequency components of this Luminance

are used to select the area of embedding the watermark in frame. High rigidity or effectiveness of

watermark is preserved by using the Principal component analysis as one of the imp step in the

embedding the watermark so that it will preserve the watermark more efficiently in the video. The

performance of the algorithm is proved by calculating the PSNR after extraction process also by applying

the attack on the video to prove the improvement in the algorithm than previous.

Underwater video transmission using OFDM

Durgade Seema Dilip, Prof. Siddhasen R Patil

[email protected]

MIT PUNE [002]

ABSTRACT

UWA channels display time-differing multipath characteristics... To this end, OFDM is notable for its

heartiness against multipath channels however is inclined to ICI prompted by time variety. All the more

as of late, motivated by spatial adjustment, the alleged IM-OFDM has likewise been proposed to give

higher framework throughput than plain OFDM under specific conditions. A key component of IM-

OFDM is that fractional subcarriers are kept idle. This could conceivably enhance framework execution

within the sight of ICI. Utilizing on this, we are the f irst to propose IM-OFDM for UWA interchanges.

Then again, notwithstanding, we understand that ICI could possibly prompt to vitality spillage from

dynamic subcarriers to idle ones, and disable the demodulation of IM-OFDM. In this article, we present

IM-OFDM for UWA interchanges and propose a half breed IM-OFDM plot with enhanced ghastly

proficiency. Then survey existing ICI self-cancelation strategies for nonspecific OFDM, and propose

another ICI cancelation technique for IM-OFDM.

Automatic Root Cause Analysis of Call Drops for LTE Network with

Unsupervised Techniques

Tejas Chandrakant Bothe, Dr. Rajendra D. Kanphade

[email protected]

Nutan Maharashtra Institute of Technology, Talegaon Dabhade, Pune

ABSTRACT


Automatic root cause analysis is a part of self-healing network, which is basically focusing on

identification of problems at user level. In a mobile network, when a call is disconnected abnormally, the

service provider is not able to understand the actual cause of call disconnection, which might affect the

service provided by network operator. Traditionally Service provider send his team to physical site to

gather statistics and data , however as the network size and complexity increases this operation and

maintenance task becomes more problematic. The proposed system provides a method to determine root

cause of a problem without additional cost to make the system more accurate.

Automation of WSN based on Time Synchronizing Technique using CoAP

Protocol

Sukanya Balkrishna Padave, Prof. Gayatri S. Ambadkar

[email protected]


ABSTRACT

The Internet of Things is nothing but a mechanism that has built-in sensors to alert the destination or

client. Also IoT(Internet of Things) is any other natural or man-made object that can be assigned an IP

address and provided with the ability to transfer data over a network. The IoT enables wide range of

applications from the micro to Critical. Major challenge in WSN is nothing but the ability to estimate,

with high accuracy, and to respond more quickly. Hence, for automation accurate time synchronization

between nodes is very important factor to be considered. In this project, time synchronization of wireless

sensor networks based CoAP protocol using Network simulator software has been evaluated. The CoAP

option field and a shim header are used to include time-stamps in the home automation system. The

proposed scheme can thus be applied to both IP-based and non-IP-based home automation systems,

EECoAP is evaluated to focus on problem of energy consumption in WSN.

Keywords- IoT (Internet of Things), Automation, Time Synchronization, WSN, CoAP(Constrained

Application Protocol), EECoAP (Energy Efficient CoAP)

SDN Guided Structure of Mapreduce Function for WSN

Richa Pare, Dr. Rajendra D. Kanphade

[email protected]


ABSTRACT

In this paper we propose a cost effective map reduce solution guided by SDN for processing of Big data

for a WSN network. The data can be used by multiple authorities or destination based on the requirements

and applications. The execution of map reduce function is guided by software defined networking


principles. By implementing the SDN WISE protocol not only at sensor nodes but also at controller, Map

and reduce is achieved in wireless sensor network. In this paper we have evaluated the behavior of WSN

network by implementing map reduce function based on SDN wise principle. Then we escalate the map

reduce a step further by electing cluster head in last achieved map and reduce functions. In order to

observe the consequence on various network performance criteria viz. bandwidth, cost of transmission,

throughput etc. a comparative graphical study is plotted. The election algorithm also helps to optimize

utilization of energy of WSN. Which plays a vital role for optimal utilization of a wireless sensor node.

The above study is conducted considering star network topology.

Early Hand off and Mobile Relays for Load Balancing in Wireless Cellular

Networks

Shraddha Suryabhan Kute, Dr. Rajendra D. Kanphade

[email protected]


ABSTRACT

Remote correspondence is tolerating a fundamental part in our customary life since it offers adaptability

and conveyability. New sight and sound association's requesting information rates of up to various Mbps

and thusly higher rehash social occasions are being investigated to bolster these new high information rate

associations. This study is a pile of fast handoff the plot that huge remote cell system using spread

between base stations for others in a base station connects with a touch of exchange created to modify.

Handoff makes the problem structure present in generous and makes the framework along these lines. The

proposed course of action decreases the another call is blocking likelihood (CBP) & the handoff call

connections is dropping likelihood (CDP) and despite production the point of interest use of remote

systems. Since the game plan is incited by an alliance demand got by the base station, it in a brief moment

showing the stacking with the base station. The current proposed load quick adjustment stop hand

philosophy can be encouraged to confirm control unstable calls organized. During the operation of fast

changing hands heap DMTBR increase with calls to extend the range control is affirmation came. The

proposed course of action makes sense from a remote system, use the asset and can increase the

performance of repair repeat displays the results.

Genetic Algorithm Application for Optimization of Clustering & Node

Placement in Wireless Sensor Network

Pooja Ashok Chavan, Dr. Rajendra D. Kanphade

[email protected]



ABSTRACT

Wireless sensor networks (WSN) are used in various applications therefore it creates the necessity for the

enhancement of the presently existing protocols and parameters. The operational stages of WSN

comprises of clustering, node placement, network coverage and data aggregation. In this article we have

focused on the cluster-ing and node placement of WSN. In the clustering of wire-less sensor networks the

simulation and analysis of the Ge-netic algorithm based clustering and Low energy adaptive clustering

hierarchy (LEACH) is done for numeric com-parison of energy consumption and no. of alive nodes using

NS2. In the node placement of wireless sensor networks the simulation and analysis of node placement

based on Genetic algorithm and HEAL existing node placement strategy is done for numeric comparison

of no. of move-ments and distance travelled using NS2.

Search of Data Using Opportunistic Network in Digital Pockets

Anushree Siddhesh Dhore, Prof. Gayatri S. Ambadkar

[email protected]


ABSTRACT

There is huge increment in use of mobile devices in recent couple of years. As the number of clients of

smart phones are increasing , the traffic contents generated are also expanding. Huge mass of information

is generated and shared between many users. Along with the network, there comes various parameters

like overhead, delay, throughput, jitter, dropping ratio, energy, packet delay ratio (PDR), etc. These

parameters decide the flexibility and lifetime of the network. Opportunistic network is unconstrained

communication between the clients of digital pockets (Mobile gadgets). We propose the solution of

making this opportunistic network better by increasing or decreasing the discussed parameters as per

requirement by dividing the particular area into dense and sparse network. We select a particular node

which will broadcast the message according to type of network.

Performance Enhancement of Multipath TCP for Wireless Communication

with Multiple Interfaces

Pranali Anurath Ghadge, Prof. Gayatri S. Ambadkar

[email protected]


ABSTRACT

Multipath-TCP is an algorithm with a lot of importance

to improve the quality of service. The algorithm is useful


for private and commercial users as well for quality

improvement. It leverages the multiple available paths

and sends packets through all the available paths. The

growing of Multipath TCP has received a growing interest

from both researchers who publish a growing number

of articles on the topic and the vendors since Apple

has decided to use Multipath TCP on its smartphones

and tablets. Apple uses this algorithm to support the

Siri voice recognition application.

Multipath transmission control protocol (MPTCP) works

such that TCP connection operates across multiple

paths at the same time without affecting any other

connection. It has become highly attractive to support

the emerging mobile devices with various radio interfaces

and to improve resource utilization as well as

connection robustness. The existing multipath congestion

control algorithms are mainly loss-based. These

algorithms prefer the paths with lower drop rates, leading

to severe performance degradation in wireless

communication systems, where random packet losses

occur frequently.

Automated Framework for Skull Damage Detection and Repair Using KNN

and Template Matching Methods

Nilesh Tukaram Gonjare, Dr, Rajendra D. Kanphade

[email protected]


ABSTRACT

In 3D computer vision domain of medical applications, geometric data completion of person body parts is

key research problem since from last decade. Human skull damage detection and repairing is one such

application. The current machines used for scanning first collects the fragments of skull and then

automatically assemble them to form the original skull image from such fragments.But the machines

generating the automated assemble skull images having possibility of losing data or having damage in

certain areas of skull images.Automated skull damage detection and repair is vital requirement for

medical researchers and groups to save their time and focus on accurate analysis. In this paper we

proposed the automated framework for skull damage detection and repair using two different approaches.

First goal of our framework is to detect whether input skull is damage or not before proceeding to medical

analysis. The damage detection is done by using machine learning approach in which first features are

extracted and then fed to k-nearest neighbours (KNN) algorithm for detection of skull damage. If the skull

is normal then it should not go for skull repair process, else damage skull is given input to skull repair


process. The skull repairs are done by using reliable symmetry detection algorithm and template based

method on damaged models, and use it to repair the skull.For performance evaluation we used neural

network classifier to estimate the accuracy of detection and repair.

Resource Allocation using Task Scheduling in Cloud Environment

Subhash Shankrrao Lokahnde, Dr. Rajedra D. Kanphade

[email protected]


ABSTRACT

Today Cloud environment is in very much demand due to it dynamically allocating resources, by

providing reliable services to end users. One can pay as per usage. In order to satisfy customer

requirement, one has to make provision of accessible assets efficiently to requesting customers as per

their need. Service Level Agreements (SLA) plays very important role during resource provisioning.

Recent works consider single parameter from SLA. Considering numerous SLA parameters and as set

allocation using preemption mechanism for execution high priority tasks for improving asset usage in

cloud. In this paper we proposed an algorithm which considers. Preemptable tasks execution and multiple

parameters such as memory, CPU time, and network bandwidth. Test result appear situations contention

in resources and how algorithm provides better utilization.

Wavelet transforme based OFDM system using turbo code

Vishal Jamdar, Prof. M. M. Jadhav

[email protected]

SINHGAD COE, PUNE [023]

ABSTRACT

Multiple access techniques provide access to multiple users simultaneously. Orthogonal frequency

division multiplexing (OFDM) is one of the type of this technique. In this method the available spectrum

is divided into number of parallel subcarriers forms. Modulation done at each subcarrier by low data rate

stream at different carrier frequency. It suffers from the problems of high PAPR (Peak to average power

ratio), CFO (carrier frequency offset) and inter carrier interference. In this paper Wavelet transform based

OFDM system is proposed for mobile application. The performance of BER is improved by controlling

the effect of PAPR and CFO. The channel coding used for error detection and correction is Turbo code.

The encoding and decoding algorithm is implemented on Raspberry pi with Wi-Fi and ADC with

conversion rate of 2 MSPS is used to cater voice application. The modulation technique used is BPSK for

simulation purpose.


Polar Coded Modem

Pushkar Gulkari, Prof. M. M. Jadhav

[email protected]


ABSTRACT

Presently Turbo Codes are used for voice and data transmission in real world. Prior to them, Polar Codes

were used for same purpose. Polar Codes are the first capacity achieving codes that are used for better

error performance and power utilization. Complexity being low, it is favorable for high rate of

transmission. This project proposes Polar Code based Modem to improve the Bit-Error-Rate (BER)

performance and power consumption. The experimentation will be carried on BPSK/QPSK modulated

signal. The communication will be through Wi-Fi transmission Technique. It uses principle of channel

polarization for encoding and Successive Cancellation (SC) Decoder for decoding. We are using

raspberry pi as processor and ADC that will support the Voice/Data conversion rate of 2 MSPS speed.

The range of communication is nearly 100 m. This will be suitable for 4G Hot-Spot applications.

Development & Implimenting of custom connectivity protocol for

Identification & Tracking of public transit vehicles using portable and station

nodes

Erabathini Chetan Laxmirajam, Dr. R. S. Kawitkar

[email protected]


ABSTRACT

Now a day’s tracking of mobile vehicles in a large area outdoor environment based on the Global

positioning system (GPS) and Global system for mobile communication (GSM). Focusing on current

traffic situation in city area and user requirements, we are trying to implement custom protocol based

vehicle tracking system which can help user as well as traffic management. RFID can be useful, but it

has some limitation, hence we are making custom, short range protocol in portable as well as station node

which can be installed in buses and bus stop. Considering today’s fast moving life requirements we are

implementing this solution with efficient lightweight MQTT protocol with required Quality of service and

AWS services.


MQTT based smart warehouse system for climacteric fruits and vegetables

Priyanka Ramesh Deshmukh, Dr. Deepashree M. Bhalerao

[email protected]


ABSTRACT

IOT is playing important role in our day to day life from last few years and brought about a huge

technological development. Message Queuing Telemetry Transport Protocol(MQTT) has emerged as an

extremely lightweight publish/subscribe messaging protocol which is mainly designed for IOT and to be

used in bandwidth constraint environment. Considering its importance this paper discusses the study of

MQTT protocol through the application of smart warehouse system. The designed system makes use of

Raspberry pi model B which acts as a network gateway to update the information on the internet for

remote monitoring and controlling of storage condition of warehouse through the application of IOT. The

user can access the system using the web page on which the storage condition of warehouse along with

the box IDs stored are updated periodically which makes it easy to monitor and control the system

remotely.

Dynamic routing in wireless sensor network under black hole attack

Charulata C. Girsawale, Prof. S.A.Shirsat

[email protected]


ABSTRACT

Wireless sensor networks (WSNs) are increasingly being deployed in security-critical applications.

Because of their inherent resource characteristics, they are prone to various security attacks, and a black

hole attack is a type of attack that seriously affects data collection. To prevent that an active detection-

based security and trust routing scheme named dynamic routing is proposed for WSN. The most

important innovation of dynamic routing is that it avoids black holes through the active creation of a

number of detection routes to quickly detect and obtain nodal trust and thus improve the data route

security. The generation and distribution of detection routes are given in the dynamic routing scheme, it

uses the energy to create as many detection routes as needed to achieve the desired security and energy

efficiency. Dynamic routing can significantly improve ability against black hole attacks and can optimize

network lifetime.

Capacity improvement for multi- tier 5G network

Kadum Haitham Al Fatli, Prof. M.N. Kakatkar


[email protected]


ABSTRACT

Recently, there is a significant need of fastest wireless networks and hence their many research works

going on recent wireless technique called 5G. The 5G wireless networks are expected to be a mixture of

network tiers of different sizes, transmit powers, backhaul connections, different radio access

technologies (RATs) that are accessed by an unprecedented number of smart and heterogeneous wireless

devices. Radio resource and interference management will be a key research challenge in multi-tier and

heterogeneous 5G cellular networks. The traditional methods for radio resource and interference

management (e.g., channel allocation, power control, cell association or load balancing) in single-tier

networks (even some of those developed for two-tier networks) may not be efficient in this environment

and a new look into the interference management problem will be required. In this project, our aim is to

enhance the capacity of 5G network along with energy efficiency through the novel resource and

interference management technique. We proposed optimized joint distributed cell association and power

control (CAPC) methods that satisfy objectives such as maximizing system throughput, less energy

consumption, less delay, less latency and balance traffic load subject to a minimum SIR for high priority

users. To address these multiple objectives, resource aware user association can be combined with

conventional cell association methods to satisfy the required objectives. The hybrid cell association

methods combined with prioritized power control will be among the key enablers for evolving 5G cellular

networks.

Automation And monitoring for windows of smart home using internet of

things (IoT)

Pravin Sunil Killare, Dr. Deepashree M. Bhalerao

[email protected]


ABSTRACT

Automation and monitoring for windows of smart home using internet of things(IoT). Internet of

things(IoT) or web of things (WoT) is a wireless network between smart products or smart things

connected to the internet. IoT is a new and past developing market which not only connects objects and

people but also billions of gadgets and smart devices. The growing number of applications based on

Internet of Things (IoT) technologies are pushing towards standardised protocol stacks for machine-to-

machine (M2M) communication. Smart home is the terminology of handling and controlling of the

household appliances automatically through microcontroller and android applications. The sole purpose

of this project is to develope a system that will provide remote control of home appliances and also

provide security against the mishaps when the home host is not present, to assist the handicapped/old

aged people at house through the use of internet, using raspberry pi module for the interface and

controlling of the household appliances.


Queue based secure data transmission for cluster based wireless sensor

networks

Durga Sadashiv Nikam, Prof. M.M.Wankhade

[email protected]


ABSTRACT

Secure data transmission in wireless sensor network is challenging task. Clustering is a novel approach

and practical solution to boost the system performance of WSNs. Proposed system presents a secure data

transmission for cluster-based WSNs (CWSNs), in which the clusters are designed dynamically and

periodically. Proposed work present two secure and efficient data transmission (SET) protocols for

CWSNs, called SET-IBS and SET-IBOOS, by using the identity-based digital signature (IBS) technique

and the identity-based online/offline digital signature (IBOOS) scheme, respectively. In SET-IBS,

network security depends on the use of the Diffie-Hellman problem in the pairing domain. SET-IBOOS

further reduces the computational overhead for protocol security, which is important for WSNs, while its

security depends on the wireless network design. Proposed system show the feasibility of the SET-IBS

and SET-IBOOS protocols with use of security requirements and security analysis against various attacks.

The calculations and simulations are provided to explore the need of the proposed protocols

OFDM with steering sinusoids for under water acoustic communication

Amey Rajendra Kulkarni, Dr. V. V. Dixit

[email protected]


ABSTRACT

The underwater channel poses various challenges for the wireless information exchange as it offers

complex communication design. OFDM, being a best viable solution for high rate and efficient

underwater communication scheme, also faces signal degradation problems due to the dynamics nature of

sea. These non-uniform dynamics due to the wind or the platform motion are critical for the acoustic

subcarriers and may cause inter-carrier interference which results distortion of the entire signal. In order

to avoid these erratic distortions, proper tracking of relative change in terms of Doppler factor have to be

incorporated in the design. The communication design must be capable enough to track aquatic variations

and compensate the effects in an efficient way. To achieve this, a novel OFDM approach based on

Steering Sinusoids has been presented which may be able to trace and rectify the fast oceanic variations

incurred with in a symbol length. The Steering Sinusoids are used to check the dynamic effects imposed

by the channel and the recorded variations are further utilized to mitigate the Doppler spread. The


placement of the appended sinusoids among subcarriers is depended upon the measure of relative motion

and the level of precise tracking must be considered.

Performance comparision of Q-LEACH & GABEEC in WSN

Mayuri Mokale, Dr. A. M. Deshmukh

[email protected]


ABSTRACT

This project compares a genetic algorithm based method (GABEEC) and Q-LEACH method to optimize

the lifetime of wireless sensor networks. GABEEC approach the proposed method is a cluster based

approach like LEACH. Genetic algorithm is used to maximize the lifetime of the network by means of

rounds. The method has 2 phases which are Set-up and Steady-state phase. In the set-up phase, the

clusters are created and are not changed throughout the network. In Q-LEACH approach Wireless Sensor

Networks (WSNs) with their dynamic applications gained a tremendous attention of researchers. Constant

monitoring of critical situations attracted researchers to utilize WSNs at vast platforms. The main focus in

WSNs is to enhance network life-time as much as one could, for efficient and optimal utilization of

resources. Different approaches based upon clustering are proposed for optimum functionality. Network

life-time is always related with energy of sensor nodes deployed at remote areas for constant and fault

tolerant monitoring. This project proposes Quadrature-LEACH (Q-LEACH) for homogenous networks

which enhances stability period, network life-time and throughput quiet significantly.

Secure and Efficient routing approach for airborne mesh network with

adaptive channel mechanism

Manjusha Anil Mane, Dr. A. M. Deshmukh

[email protected]


ABSTRACT

Existing solutions faces security issues as WMN’s are prone to routing attacks. Contemporary security

standards, such as IEEE 802.11i and IEEE 802.11s mesh standard, are vulnerable to routing attacks. So

that, a secure routing protocol is indispensable for making feasible deployment of UAV-WMN. Here,

presenting the position-aware, secure, and efficient mesh routing approach(PASER). The proposal

prevents more attacks than the IEEE802.11s/i security mechanisms and the well-known, secure routing

protocol ARAN, without making restrictive assumptions. In realistic UAV-WMN scenarios, PASER

achieves similar performance results like, routing protocol HWMP combined with the IEEE 802.11s

security mechanisms. the additional contribution concept is to propose a Channel-aware Reputation


System with adaptive detection threshold (CRS-A) to detect selective forwarding attacks in WSNs. The

CRS-A evaluates the data forwarding behaviours of sensor nodes, according to the deviation of the

monitored packet loss and the estimated normal loss. To optimize the detection accuracy of CRS-A,

theoretically deriving the optimal threshold for forwarding evaluation takes place, which is adaptive to the

time varied channel condition and the estimated attack probabilities of compromised nodes.

IOT based Mobile blood bank system

Niraj Rustumrao Chavan, Prof. M. M. Jadhav

[email protected]


ABSTRACT

Blood is an integral part of all existing lives. In present scenario, direct interaction of donor and recipient

is lacking. Recipient needs to physically visit donor to get blood. The proposed blood bank system is

designed with Raspberry pi and GPS. This has facilitated centralized mechanism to connect multiple

blood banks. An android application is provided on user mobile system. With the help of this, he or she

can trace the available nearest blood bank in the city. This will ultimately save the life of patient has he

gets blood immediately. The minimum internet speed required at the transmitter to send data is 100KBps.

The pay off needed to implement this concept includes charges for making blood banks available and

charges to use internet.

Monitoring of Toxic Gases and Land Slide Prevention using IOT

Gunjan Shailesh Joshi, Dr. A. M. Deshmukh

[email protected]


ABSTRACT

Mining activities release harmful and toxic gases in turn exposing the associated workers into the danger

of survival. This puts a lot of pressure on the mining industry. To increase the productivity and reduce the

cost of mining along with consideration of the safety of workers, an innovative approach is required. A

real time monitoring system using wireless sensor network, which includes multiple sensors. This system

monitors surrounding environmental parameters such as temperature, humidity, multiple toxic gases and

land sliding with the help of two wireless sensors nodes using IOT. This system will display the

parameters on the LCD at the underground section where sensor unit will install as well as on the

monitoring unit; it will be helpful to all miners present inside the mine to save their life before any

casualty occurs. Alarm triggers when sensor values crosses the threshold level. This system also stores all

the data in the computer for future inspection.


An Ant Colony Optimization based Routing Algorithm in Wireless Sensor

Network for Network Lifetime Enhancement

Amruta G. Wadhai, Prof. S. B. Takale

[email protected]


ABSTRACT

Selecting an optimal path in wireless sensor networks (WSNs) is one of the challenging tasks. Many

protocols have been developed for Wireless Sensor Networks to overcome the constraints that

characterize this type of networks. However, these networks have some limitations as well low data rates

and security threats are few to list. Wireless sensor networks (WSN), are also known as Wireless Sensor

and Actuator Networks (WSAN), are spatially distributed autonomous sensors to monitor physical or

environmental conditions like the temperature, sound, humidity etc. Wireless Sensor Networks have

enormous applicability. An Ant based routing protocols can create a significant contribution for the

enhancement of the network life-time, but it is possible only by means of an balanced and adaptable

algorithm which takes Wireless Sensor Networks main restrictions into account. The paper shows another

Wireless Sensor Network routing protocol, which depends on the Ant Colony Optimization metaheuristic,

a higher level procedure. The protocol was studied by simulation for several Wireless Sensor Network

scenarios and the results obtained clearly shows that it is useful in minimizing the communication load

and maximizes energy savings.

An efficient tree based power saving schemes for WSN with mobile sink

Maheshwari Shinde, Prof. M.M.Wankhade

[email protected]


ABSTRACT

Energy saving becomes one of the most important features of the sensor notes to extend their lifetime in

WSN. Tree based power saving scheme to reduce the energy consumption in WSN with mobile sink. The

important goal of the scheme is to reduce the data transmission distance of the sensor node by employing

the tree structure based on the location of mobile sim the distance between the sensor node and the energy

of each sensor node. During the recent year many energy efficient rounting protocold have been proposed

for WSN. Energy efficient rounting protocols can be classified into four main schemes network structure,

communication model, topolgy based, reliable rounting. An energy efficient rounting protocol play's a

important role in data transmission to be efficient for WSN the most feature of a rounting protocol is the

energy consumption and the extension of the network life time.


Enhancing the Energy Efficiency and Power Allocation of Cognitive OFDM

Aishwarya Dilip Ingawale, Prof. S.B Mule

[email protected]


ABSTRACT

The proposed system investigates an energy efficiency optimization problem in cognitive orthogonal

frequency division multiplexing (OFDM) systems. The goal is to maximize the energy efficiency by

adapting the sensing duration, detection threshold, and transmit power to the constraints of the energy

consumption of the secondary network and the interference to the primary network in a statistical manner.

Firstly, the case of identical detection threshold for all sub carriers is considered. To circumvent the

intractability of the resulting problem, an alternate iteration framework is proposed to iteratively solve the

three decoupled sub-problems: sensing duration optimization, detection threshold optimization, and

power allocation optimization. By exploiting the characteristics of each sub-problem, the proposed

framework is proved to be convergent. Then, the case with individual detection threshold for each sub

carrier is explored. By proving that the optimal detection threshold is the root of a quadratic equation with

one unknown variable, the proposed framework can be applied with minor modification.

Hybrid Approach of Spectrum-Energy Efficiency Optimization for

Heterogeneous Networks

Mohammed Luay Abdulmunem, Prof. Y. D. Chincholkar

[email protected]


ABSTRACT

The 4G methodologies like LTE, LTE-A cellular network has been developed. Such technologies are

considered to improving the network capacity and end user throughput. To improve the profitability,

WANs should use the energy and spectral efficient design. The goal of this project is to present the design

of novel hybrid approach to improving the spectrum and energy efficiency. we presented the optimal

policies by designing the methods of cell size zooming, migration of user and sleep mode for various

types of base stations. The spectrum and energy efficiency problem is formulated as the quasiconvex

optimization and then it is converted into similar form of problem of MILP. The quasiconvex

optimization problem is solved by bisection method and MILP solved by software tools. Finally, we

contributed with third algorithm of improving the spectrum and energy efficiency in this project. The

practical work and simulation of proposed approach conducted using NS2.


Digital System


Moving Object Tracking Using Kalman Filter

Gunjal Bhagyashri Ramchandra, Er. Sheetal S. Gundal

[email protected]

AMRUTVAHINI COE, SANGAMNER - [010]

ABSTRACT

Abstractâ€” There are many Problems are occurring in moving target tracking are being proposed and it is

applied widely currently along with the maturity of computer technology and the fast advancement of

computer vision. In daily life, it is very necessary for tracking the moving object. In Kalman filter is

highly efficient as compare to recursive filter, as well as it is the common video method to track moving

object in video or images.

The moving object is estimation process of location of the moving target. The decomposition is nothing

but tracking video into frames in the initialization period and every frame is made up of a piece of picture;

then next step is the targets in each frame are identified by means of color recognition; next position is the

moving target and to identify the center coordinates and next another last step the coordinate of the

previous and current frames is inputted and find out the location of the moving target which is present

frame. And this frame is estimated by filter.

Now’s day, tracking, detection and identify are very important for different object. The objects are

tracked with the help of Kalman filter. The features of centroid are motion. The motions of moving

objects are tracked in a single fixed camera. This information is obtained by using the detection of the

target. The cost function can be find out the calculation for solve the problems. These are correspondence

to the split. This is finding out after split. So, this algorithm is useful for the validated-on human as well

as also used for the vehicle and any free-falling object such as a ball, image sequence.

Keywordsâ€”Object Detection, kalman filter, tracking object.

DWT IDWT Based Barcode modulation method for Verification

Rathod Gajanan Gulabrao, Er. Vilas S. Ubale

[email protected]


ABSTRACT

Abstractâ€”There are several wireless data transmission techniques in which barcodes are of great

relevance. In this new approach 2D barcode is forward and its performance is compared to other standard

methods for example exploiting the low-pass characteristic of a camera phone channel and is presented as

a means of facilitating wireless optical communication with mobile phones. In this method, orthogonal

frequency-division multiplexing (OFDM) modulation is used together with differential phase shift keying

(DPSK) over adjacent frequency domain elements. The aim is to study and establish a system that is

proven tolerant to camera movements, picture blur, and light leakage within neighboring pixels of an

LCD,


Keywordsâ€”2D barcode, OFDM, DPSK, LCD.

An Innovative Transient Free Adaptive SVC For Reactive Power

Compensation and PF Correction using ARM Controller

Shinde Kavita Sopan, Er. Shraddha S. Katariya

[email protected]


ABSTRACT

Abstract-

In this paper active power factor corrector (active PFC) is use to controls the amount of reactive power

drowns by the load. Active power factor corrector method is used to improve the stability and

transmission efficiency of distribution lines as well as to reduce the power losses. The single phase SCR

based static VAR compensator for reactive power compensation and power factor correction using ARM.

This system specially focuses on not only reduction of reactive power losses but also on active power

factor correction.

Keywordsâ€” reactive power, ARM, power factor.

Speech Compression in GNU radio

Mahesh Haridas Chitale, Er. Sheetal S. Gundal

[email protected]


ABSTRACT

Abstractâ€”Speech is nothing but a typical way of human interaction and Speech processing is the most

popular growing area of the signal processing. In wavelet,speech compression is important applications.

In general, For human communication audio files need more space for storage. So we need audio

compression of such files and it is a important subject for research. We have worked in several analysis

tools of speech processing, wavelet transform is one of the most modern and interesting tools of speech

processing. Applications of wavelet transform are not only to signal processing, but it is also used in

different fields such as image processing, communications technology, mathematics calculations and

computers. Wavelet transforms, due to their different appearances, we have to be accept that a group of

tools are useful for many applications. In this experiment we are using different wavelets such as Coiflet

wavelet coefficients, Daubechies wavelet coefficients. By using such type of wavelet coefficients we first

decompose the speech signal and then applied brige-massmart technique to make irrelevant wavelet


coefficients to zero. After this we use run length encoding techniques for encoding the remaining

coefficients. Performance analysis of such experiments can be done by using different term such as Signal

to Noise Ratio, Peak Signal to Noise Ratio, Retained Signal Energy, and Compression Ratio.By using this

experiments we can successfully compress the speech signal and then reconstruct it with good quality of

audio signal.

HSI Classification using of Computational Intelligence

Deshmukh Priya Gulabrao, Er. Vilas S. Ubale

[email protected]


ABSTRACT

Abstract:

For the classification of Hyper spectral Image (HSI) image spatial features are extracted. For this features

are extracted with the help of Local Binary Pattern (LBP), then two different fusions are applied like

feature level & decision fusion including Gabor filter. Extreme learning machine (ELM) a type of

classifier is added to get classification output. ELM is much more efficient & faster than Support Vector

Machine (SVM).

Gate Diffusion Input Full Subtractor Circuit using 130nm Technology

Korade Tushar Tukaram, Er. Sandip B. Rahane

[email protected]


ABSTRACT

Abstract-

A full subtractor circuit based on Gate Diffusion Input (GDI) technique has been presented in this paper.

The circuit has been realized with lesser transistor count and achieves low power consumption. The

circuit design is performed in 130nm technology and performance is compared with CMOS, transmission

gate (TG) and Complementary Pass Transistor Logic (CPL). The proposed circuit achieves a benifit of 72

%, 63 % and 59 % in terms of semiconductor device count respectively for CMOS, TG and CPL.

Average power consumed is as low as 589.68ÂµW. The circuit exhibits a delay of 100ns. The proposed

GDI substractor design is simulated in a Mentor Graphics EDA tool environment.

Keywordsâ€” low power, power delay product, semiconductor device count, GDI technique, high speed.


Gait Phases In Above Knee Prosthesis using ARM7

Vaishali Bhausaheb Shirsath, Er. Manjusha T. Kanawade

[email protected]


ABSTRACT

Abstract : Two gait phase estimation method to control the above knee prosthesis is

discussed in this paper. A rule base quantization and an ANN based system is preferred for controlling

various parameters such as motion, torque required in walking with the help of prosthetic leg.

Microcontroller based semiactive knee prosthesis in order to respond patients demands and adapt

environmental conditions such as whether are considered. A design is suggested to measure experimental

environment in which gait data is collected for both inertial as well as image based measurement systems.

The inertial measurement system consists of MEM accelerometers as well as gyroscopes to identify direct

motion measurement of controlling parameter using microcontroller. The image based measurement

system is used to verify the above measured data from the prosthetic leg. Various advantages of proposed

system is discussed in this paper.

Keywords: MEM; Gait Phase; Prosthesis.

A High Efficient C-less ASK Demodulator with Digital Calibration for

Bioimplantable Devices

Zope Aarti Sunil, Prof. Rashmi Mahajan

[email protected]

D Y PATIL COE, LOHGAON, PUNE [88]

ABSTRACT

An all-MOS ASK demodulator with a wide bandwidth for medical applications will be presented. The

chip area will get reduced as the use of passive element is avoided. It is very compact to be integrated in a

system-on-chip for wireless biomedical applications, particularly in biomedical implants. Because of low

area, cost and low power consumption, the design is also easy to integrate in other mobile medical

devices. Modulation index, modulation rate, and power consumption could be improved. The designed

circuit will be implemented with nanometer regime CMOS technology.


Enhancing security issue in Iot based Smart Retail using Blowfish Algorithm

Kamble Sudhanshu Siddharth, Dr. S. S. Sonavane

[email protected]


ABSTRACT

Now a days internet of thing is widely used in many area, but security of Iot is one one of the most

important factor. If a hacker manages to enter the network, he may access confidential data. So for IoT, a

data transmission security component is fundamental notwithstanding the confirmation system. Starting

with the idea of IoT, its design and security issues, this paper breaks down different security components

for IoT and the importance of cryptography in IoT. An efficient cryptographic algorithm

â€œBlowfishâ€� is selected based on the literature survey an cryptographic algorithm â€œBlowfishâ€�

is selected to enhanced the security.

Seamless Vertical Handover of Video in 4G Heterogeneous Wireless Networks

Raut Anand Bharat, Dr. S. M. Koli

[email protected]


ABSTRACT

4G empowers the combination and interworking of every single remote framework. The clients

dependably consider consistent gushing of media over different systems. The proposed method

concentrate on giving "non-ending" video gushing for versatile clients while moving over different

systems, the versatile portable spilling over portable systems gives spilling of video. The spilling deferrals

can be decreased by building private operators utilizing cloud to give versatile video gushing to cell

phones, some calculation like SVC H.264f is utilized to lessen buffering amid gushing and furthermore in

exchanging more than one system to another system. Vertical Handover is done to decrease handoff by

developing MDP based calculations utilizing the QoS parameters, for example, data transmission, delay,

jitter, bit mistake rate and cost.

Simulation and performance evaluation of AODV Protocol with QoS using

Network Simulator 3( NS3 ).

Chavan Madhavi Mohan, Prof. N A Dawande

[email protected]

D Y PATIL SCHOOL OF ENGINEERING ACEDAMY AMBI TALEGAON [107]


ABSTRACT

Abstract - The Ad hoc mobile networking is a current active research area. It is type of adhoc network in

which nodes are mobile and connected with each other via wireless connection. Mobile Adhoc Network

in which every node share data with another node without using fixed infrastructure. So it is

infrastructure-less and self configuring network. But it is very difficult to maintain all the devices over the

Network. There are so many protocols which are being developed for maintaining the devices over the

Network. In this research we evaluate performance of one routing protocols AODV(Ad hoc On-Demand

Distance Vector Routing).They can be used in agriculture for monitoring and control of environmental

parameters in the form of wireless sensor networks. The aim of that paper is achievement evaluation of

protocol of these Ad hoc networks that is QoS-enabled AODV protocol. The performance evaluation is

completed by means of its distinguish with normal AODV protocol. QoS stands for the Quality of

Service. That paper proposed some enhancements to the AODV protocol to through or consist QoS by the

adding extensions to Route Discovery messages, related to bandwidth estimation. This paper focused on

three of the parameters namely Speed of nodes, Traffic Rate & Pause Time of mobile nodes. For

evaluation purpose the performance metrics used are Throughput, Bandwidth, Average end-to end Delay,

Packet Delivery Ratio (PDR), Normalized Overhead Load (NOL). The simulation is performed through

the simulation tool NS-3(Network Simulator- 3) due to its open source simplicity and free availability.

flight simulation using matlab

Shrikant Adinath Narute, Monali Chinchmalatpure

[email protected]

DHOLE PATIL COLLEGE OF ENGINEERING, WAGHOLI, PUNE [060]

ABSTRACT

Flight simulation is kind of the technique of virtual reality. Flight simulation can be used for training

either civilian or military pilots without using any real aircrafts but sophisticated computer system - Flight

simulation.

Some Studies on Image Resolution Enhancement and Quality Assessment

Pallavi Dilip Sawant, Prof. Mrs. H. H. Kulkarni

[email protected]

GES's R. H. Sapat CoE, Management Studies & Research, Nashik [069]

ABSTRACT

Image resolution enhancement is to process a given input low resolution image to improve its resolution.

There are several image processing applications which require high resolution images for processing and


analysis. Interpolation is one of the commonly used method for image resolution enhancement.

Interpolation has been widely used in many image processing applications such as facial reconstruction,

in medical field, multiple descriptions coding. In this paper, scheme of super resolution is used to

reconstruct high resolution images from low resolution images using different interpolation

techniques.Quality assessment parameters like PSNR, Mean, Variance, Entropy and Standard deviation

are calculated to assess the quality.

Handwritten Character Recognition using OCR and Writer Identification

Shweta Anant Shevgekar, Prof. Mrs. M. S. Deole

[email protected]


ABSTRACT

Handwritten character recognition is a demanding task in the image processing because handwriting style

varies from writer to writer. Recognition of handwritten characters using a scanned document, or direct

image using various Mat lab toolboxes like image processing to process the scanned or acquired image.

Here from OCR we can get characters recognition. Many feature-based algorithms are well-suited for

feature extraction like like SIFT, Language Independent Text-Line Extraction, ORB (oriented fast &

rotated brief), SURF. But Oriented FAST and Rotated BRIEF (ORB) is a very speedy binary descriptor

which is faster than Scale-invariant feature transform (SIFT), it can be verified through experiments. And

it gives best performance and reasonable cost. Scale invariant feature transform (SIFT) is very useful for

feature extraction but it is computationally difficult due to its weighty workload required in local feature

extraction and matching operation. Therefore for best performance and less complexity, ORB is the best

solution. Recently there is a growing trend among worldwide researchers to recognize handwritten

characters of many languages and scripts. As the work on Indian scripts is in initial phase Marathi

language is used for recognition and identification.

Implementation of Digital Current Sensorless Control for dual boost half

bridge PFC converter with natural capacitor voltage balancing

Charushila Kashinath Gangurde, Prof. S. P. Agnihotri

[email protected]


ABSTRACT

The Power Factor Correction (PFC) converters of bridgeless category are often used to improve the

efficiency of the conventional boost-type power factor correction (PFC) converters with the diode bridge

circuit. The short circuit problems are not occurred due to non inability of series connected switches for


improving PFC Dual boost Half-bridge circuit is used. The DBHB PFC converter model is developed in

added to simplified the conventional two loop Control scheme and reduce the number of current sensors.

Then, the current Sensor-less control for DBHB PFC converter is proposed to achieve voltage regulation

and yield sinusoidal input current in phase with the input voltage without sensing any current. In addition,

the proposed method is able to balance capacitor voltages naturally without adding any voltage balancing

control loop. The above maintain method we proposed for observing the performance of the DBHB PFC

planning to design in Matlab / Simulation and planning for experimental setup.

Speech Recognition Using PNCC

Prachi P. Dani, Prof. Mrs. M. S. Deole

[email protected]


ABSTRACT

There are several approaches of feature extraction algorithms in speech recognition, e.g. Mel frequency

cepstral coefficients (MFCC) [1], perceptual linear prediction (PLP) [2] and power-normalized cepstral

coefficients (PNCC) [3]. PNCC a new feature extraction algorithm based on auditory processing is

described in this paper. The new features of PNCC processing include the use of a power-law nonlinearity

that has been replaced by the traditional log nonlinearity used in MFCC coefficients. There is use of

medium-time power analysis, in which environmental parameters are estimated over a longer duration

than is commonly used for speech, as well as frequency smoothing. PNCC is basically used for the

improvement in recognition accuracy in noisy conditions. Paper shows the recognition accuracy using

MFCC and Features extracted using PNCC.

Some studies on Removal of Rain Streaks from Images

Holkar Pooja Sanjat, Prof. Mrs. H. H. Kulkarni

[email protected]


ABSTRACT

Rain streaks removal falls into the category of image noise reduction. It is one of the types of bad weather

condition and it decreases the quality as well as the performance of outdoor vision system. Hence removal

of rain streaks from any image and quality assessment of rain removed image is mandatory task. There

are two sub-problems in rain image recovery i.e. how to identify rain in images and how to remove visual

effects caused by rain from images. In this paper detection and removal of rain streaks in an image is done

by image decomposition technique which depends on Morphological Component Analysis (MCA) by

performing dictionary learning and sparse coding. Before applying the rainy image to a conventional


Image decomposition technique, the proposed method uses bilateral filter to reduce universal noise. After

removing rain, quality assessment of rain removed image is performed. After measuring quality, Rain

removed image is again passes through circular averaging filter to improve its quality metrics. After

expulsion of rain streaks we can easily identify features in the image.

Adaptive Estimation of Three Phase Grid Voltage Parameters under

Unbalanced Faults and Harmonic Disturbances

Abhaya N. Pande, Prof.Dr.Mrs.A.P.Khedkar

[email protected]


ABSTRACT

The aspect of power quality issues has become serious with more and more penetration of renewable

sources i.e. (weak grid) with the conventional utility grid i.e. (stiff grid). At PCC (Point of common

coupling) it has become mandatory to provide an adaptive scheme as comprehensive solution to address

control, protection and power quality issues. It is closed loop feedback method to estimate three-phase

grid voltage signal. Here a unified control strategy is presented that enables both islanded and grid-tied

operations of three-phase inverter in distributed generation.The three-phase grid voltage signal is treated

as a solution of a parameterized dynamic system involving the unknown parameters the fundamental and

harmonic frequencies.The proposed control strategy consists of an inner inductor current loop,and a novel

voltage loop in the synchronous reference frame. The three-phase inverter would be regulated as a current

sourcevia the inner inductor current loop in grid-tied mode, and the voltage controller is activated

automatically to regulate and control the load voltage once the islanding is occurred. This control strategy

is validated by simulation results carried out in MATLAB for grid connected and islanding mode and the

results for improved power quality including three phase fault creation element will be completed.Further

the system will be tested against faults to maintain grid stability.

Indian Leaf Recognition Using PHOG and COA-LBP features

Navale Sonali Balasaheb, Prof.Dr.H.Y.Patil

[email protected]


ABSTRACT

Leaf can be characterized by its color, texture, vein

structure, and shape. The type of the vein is an important

morphological characteristic of the leaf. Plants can be seen in

many places, including roads, mountain paths, and fields, which


have many different kinds where recognizing them can be useful

in various applications. In this paper, a feature level fusion

scheme is proposed using PHOG and COA-LBP features. It

yields 80.95% rank one recognition rate on Indian leaf database.

Keypoint Level Fusion Scheme For Traffic Sign Detection

Mogare Savita B., Prof.Dr.H.Y.Patil

[email protected]


ABSTRACT

Automatic traffic sign detection is a challenging

research area which attracts many researchers. It is helpful to

the community in terms of machine assisted driving, sign

maintenance applications etc. This paper presents a keypoint

fusion approach for traffic point detection using Gabor filter

bank and BRISK keypoint features. After experimentation on

publically available databases it is evident that the proposed

descriptor works effectively for traffic sign detection.

Design of Dual Band Circular Microstrip Patch Antenna For RFID

Application

Swapnali Dattatray Hingmire, Prof.M.P.Joshi

[email protected]


ABSTRACT

In this paper, A dual band circular microstrip patch antenna (CMPA) ,with coaxial probe feeding,is

proposed. The proposed antenna operates in the frequencies of ISM (Industrial, scientific and medical),

0.92-2.45 GHz bands to satisfy the RFID applications. Proposed antenna is fabricated on a double-layered

printed circuit board (PCB). The antenna is fabricated on FR4 substrate with size of 100mm Ã— 100mm

Ã— 1.6mm.The proposed antenna is simulated using the method of moment's software CAD FEKO.


Abandoned Object Detection In Surveillance Videos

Mahale Mandakini Ashok, Prof.Mrs.H.H.Kulkarni

[email protected]


ABSTRACT

Abandoned object detection is an effective approach for detecting abandoned luggage in surveillance

videos. The short- and long-term background models are combined to extract foreground objects.

Subsequently, a framework is introduced to identify static foreground regions based on the temporal

transition of code patterns, and to determine whether the candidate regions contain abandoned objects by

analyzing the back-traced trajectories of luggage owners. In back trajectory by using kalman filter to

improve accuracy of system. The experimental results obtained based on video frames by capturing in

real time and also using surveillance databases shows that the proposed approach is effective for detecting

abandoned luggage.

Development of Methodology For Tracking Human Motion in Video

Surveillance System

Rajshree Balasaheb Lande, Prof.R.M.Mulajkar

[email protected]

JAIHIND COLLEGE OF ENGINEERING, JUNNAR, PUNE [084]

ABSTRACT

The project presents tracking of human motion in video surveillance system using background subtraction

algorithm and bounding box concept. In computer vision system object can be detected by separating

foreground object which is moving from background object. The main goal of this paper is to design a

bounding box concept for the human detection system in the presence of crowd. Each moving object is

detected by creating bounding box around it.Using bounding box we can detect crowd and estimation of

crowd. For object edge smoothness image processing morphological operations such as erosion and

dilation will be used.This system requires less processing time and better accuracy than other existing

systems according to the simulated result.

Finger Knuckle base identification of person

Arti B.Waghode, Prof.C.A.Manjare

[email protected]

JSPM COE, PUNE [040]


ABSTRACT

Finger Knuckle recognition system and finger back surface is one of the recent biometric methods used to

identify people. The finger knuckle print is highly rich in textures and can be used to identify a person.

In this paper we propose finger knuckle based biometric person identification using subspace methods

such as Gabor filter, PCA and LDA. These methods firstly capture the test image and then crop the

image. The cropped images are changed to black and white image, then preprocessing with gabor filter to

enhance the FKP image. After using gabor filter, feature extraction is employed by using PCA. The

features of test image and train image are compared by using LDA and knn classifier. Then the output

will be displayed the identification of known user else unknown user. Comparatively it improves the

efficiency and accuracy of the Finger Knuckle recognition technique.

Image Stitching Based On Corner Detection

Mind Poonam Dattatray, Prof. P P Gumaste

[email protected]


ABSTRACT

Panoramic image mosaic is a technology which matches the series of images of same scene which are

integrated with each other. Panoramic image mosaics can be used for the different type of applications.

Image mosaic has important values in various applications such as photogrammetry, computer vision,

remote sensing in image processing, analysis of the medical image and computer graphics.

Image mosaics also can be used in moving object detection with a dynamic camera. After getting the

panoramic background of the video for detection, then first compare every frame in the video with the

panoramic background, and finally detect the moving object.

An Automatic Detection of Landing sites for emergency Landing of Aircraft

Supriya Laxman Thorat, Dr.S.B Mohite

[email protected]


ABSTRACT

An automatic computer-aided detection (CAD) system is proposed to assist aircraft pilots to find safe

emergency landing sites where no runway is available. Conventionally, pilots are trained to identify safe

landing sites by looking to the ground with raw eyes. But human vision can be significantly affected by

weather conditions. Also the crucial decision greatly depends on the pilot’s flight experience. In addition;

the pilot will be under the huge pressure in such extremely urgent situations. Time is another vital factor


of the survival of passengers and the pilot himself. Therefore, a robust, reliable and efficient algorithm of

selecting candidate landing sites is strongly desired. By applying image processing and analysis

techniques we proposed an automatic CAD system and preliminary results show the feasibility of the

proposed algorithm. An efficient process for emergency landing site selection is greatly desirable in order

to compensate for the natural inadequacies of human vision

Musical Instrument Classification Using MIR Toolbox

Patil Ashwini Ramesh, Prof V.M. Sardar

[email protected]


ABSTRACT

Everyone listening music, is in this music contains the various sound of instrument, this sound is classify

using Mir toolbox, which is music information retrieval toolbox. In this paper we propose Mir toolbox

based classification of musical instrument, we build a system that will listen to musical sound and identify

which instrument is being played using Mir toolbox. In This instrument classification can be done on the

basis of feature extraction process. This system use manymethod toextract the audio feature ex. Timber,

Tonality, Rhythm, Pitch, Energy,etc. in the MIR toolbox. This feature extraction value is evaluated using

KNN and C4.5 decision trees classifier. System will classified which instrument is being played using

classifier and feature extraction process and identification result will be displayed on GUI

Experiment of Enhancement of Efficiency of Solar cell to Drive Load

Pooja Ramdas Tandale, Dr.S.B Mohite

[email protected]


ABSTRACT

The main purpose of this new project is to introduce andesign of Enhancement of efficiency of solar cell

to drive load. In that we use optic lenses such as parabolic lenses or simple mirror to enhance the

efficiency of solar cell. With enhancement we use the boost converter to generate regular output voltage.

After generation of regular output voltage we store that energy using battery of input 12V. Output of

battery is DC voltage, to drive AC load we use inverter for DC-AC volt converter. Inverter produces AC

output voltage by using that we drive AC load. Experimental works were carried out with the designed

boost conversion software which has an electric power rating of 40 Watt and 12 V outcome voltage

operated in constant conduction mode at 20 kHz switching frequency. The test results show that the

proposed design displays a good performance.


5827

Bokil Geeta Anil, Design Of Robust Active Suspension Systems

[email protected]


ABSTRACT

In this paper an active two suspension systems are designed. In first design using inertial delay control

(IDC) is used for estimating the effect of uncertainties in suspension parameters, sprung mass variation

and unknown road profile and the second design same

is estimated by Disturbance Observer (DO). The proposed controls are designed with the objective of

improving the ride comfort without having to use sensors for measuring the road profile or sensing the

displacement and velocity of the unsprung mass. The designs are validated by simulation for two road

profiles and the performance is compared with passive suspension systems.

Seed Quality Analysis Using Image Processing and Artificial Neural Network

Shivpriya Ram Desai, Dr. A. P. Rao

[email protected]


ABSTRACT

Good quality seed is important for the satisfactory production of a good quality crop and is essential for

export markets. Quality control is very important in food industry, based on quality parameters food

products are classified and graded into different grades. Grain quality evaluation is done manually but it is

relative, time consuming, may be varying results and costly. Digital image processing can be used for

quality evaluation and grading of agriculture food in industry. One of the major step in quality assessment

of grains is grading of grains, which normally accomplished either manually or using expensive

commercial equipments. We propose a simple method based on image processing and using ANN for

grading of rice granules Here grading will be performed by calculating rice seed major axis length ,minor

axis length, area ,eccentricity and perimeter. This method requires minimum time , it is low in cost and

we get accurate result.

Performance analysis of underwater image enhancement techniques


Pallavi N. Nawale, Prof. Pange S M

[email protected]


ABSTRACT

There are two major sources of distortion namely Light scattering and color change for underwater

photography. Light scattering is caused by light incident on objects reflected and deflected several times

by particles present under the water before reaching the camera. This degrades the visibility and contrast

of the image captured. Color change depends on varying degrees of attenuation encountered by light

traveling in the water with different wavelengths, underwater environments dominated by a bluish tone.

No existing underwater processing techniques can handle light scattering and color change distortions

suffered by underwater images, and the possible presence of artificial lighting simultaneously. This paper

proposes a novel systematic approach to enhance underwater images by a dehazing algorithm, to

compensate the attenuation discrepancy along the propagation path, and to take the influence of the

possible presence of an artificial light source into consideration. Once the depth map,i.e., distances

between the objects and the camera, is estimated, the foreground and background within a scene are

segmented. Based on the amount of attenuation corresponding to each light wavelength, color change

compensation is conducted to restore color balance. The performance of the proposed algorithm for

wavelength compensation and image dehazing (WCID) is evaluated both objectively and subjectively by

utilizing ground-truth color patches and video downloaded from the YouTube website. Both results

demonstrate that images with significantly enhanced visibility and superior color fidelity are obtained by

the WCID proposed.

Texture analysis of Brain tumor in digitized MRI using Gleason and

Menhinick Diversity Indexes

Shradha Suresh Chavan, Prof. P.P. Gumaste

[email protected]


ABSTRACT

Tumor is swelling of the body part, due to this abnormal growth of cells in that place of the body. If it is

in brain called brain tumor brain tumor diagnosed by the magnetic resonance imaging (MRI). In the prose

methodology firstly detect and extract tumor using watershed segmentation ,For texture analysis to

describe features of Brain tumor , to increase the efficiency of texture feature extraction, the diversity

index’s capability to detect patterns of tumor . For this purpose, the Gleason and Menhinick indexes are

used. Finally, the extracted texture is classified using the Support Vector Machine, looking to differentiate

the malignant and benign class of tumor .


Automatic Cradle System for Infant care

Vedant Krishna Sambhar, Prof. M. B. Tadwalkar

[email protected]


ABSTRACT

Some sensors can apperceive the movement of baby and other information such as baby cry. The

algorithm can be applied for adjusting the bassinet extent. There is a need to develop a new low cost

indigenous electronic cradle because the existing cradles are imported and costly. The speed of the cradle

can be controlled. This system helps parents and nurses to take care of babies without physical attention.

Now-a -days we see both the husband and the wife are working .So it becomes quite difficult to take care

of their infant. It may lead to improper attention towards her infant. It is found that when the baby is in

cradle he feels comfortable. The system designed, helps the mother in giving fair attention towards her

child along with managing of other household activities. This system is also beneficial for the babies as

we have used fluid sensor which helps to avoid diseases.

Visible Light Communication for Visually Impaired people using sustainable

LEDs

Pradnya P Kulkarni, Prof M. B. Tadwalkar

[email protected]


ABSTRACT

We developed navigation system prototype for the visually impaired using LED lights. Where LED lights

emit visible light with location data and a smartphone or blind person’s stick with a visible light receiver

receives the data. The controller with receiver calculates the optimal path to a designation and speaks to

the visually impaired through a headphone or turns stick left or right with the help of motor. The

prototype is able to navigate the visually impaired users fairly well with speech guidance. We believe that

the application of visible light communication belongs to location-based services and new graphical user

interfaces that combine visual imagery with visible light communication. For this application, users are

able to know the information associated with a transmitter. If a transmitter is attached to a building or a

fixed place, location information will be obtained. Indoor navigation is convenient for everyone,

especially useful for visually impaired

Hydroponics Farming

Rahul Dilip Nalwade, Prof. T.S.Mote


[email protected]


ABSTRACT

The present agricultural system is a mix of outstanding achievements and missed opportunities in India. If

India want to become powerful economically in the world, our agricultural productivity should be equal

to those countries, which are currently rated as economic power of the world. We need a new and

emerging technology which can improve continuously the productivity, profitability, quality of our major

farming systems. One such technology used in India is the greenhouse technology. Although it is

centuries old, it is new to India.

In India, dependence on agricultural productivity and geographical conditions contribute majors to

underdevelopment and poverty. These can be achieved by alternative new and latest technology of

farming such as hydroponics. The goal of this project is to design and construct a hydroponic system

which is fully automatic that can be integrated into the agricultural curriculum while introducing business

skills.

Raspberry Pi Based Industrial Process Monitoring and Detection of Defects in

Industrial Pipe Using Image Processing

Gharge Aditi Rajendra, Prof. Varsha Lembhe

[email protected]


ABSTRACT

This paper proposes an effective algorithm for detecting and classifying defects which are presents in

industrial pipe. Presence of holes and cracks in pipe are an important indicator in manufacturing process

to avoid environmental destruction and high cost. Because of the small diameter of pipes, human cannot

examine these pipes directly. Therefore to overcome these problems an algorithm has been introduced to

detect the defects in industrial pipes. The proposed algorithm can identify defects from background and

the types of defects present in pipe can be distinguished in the estimation stage.

This paper also focuses on monitoring various parameters like temperature, water level, and light

intensity. Our system is designed with different sensors and raspberry pi. The design includes interfacing

of various sensors with PIC controller and LCD display. The gathered information will displays on LCD.

Thus our system is designed for multiple input and output arrangements for industrial applications.

No reference quality assessment of stereoscopic 3D image using histogram

shape analysis.


Priyanka Ashok Khairnar, Prof.S.M.Hambarde

[email protected]


ABSTRACT

Multiview videos plus depth(MVD) is a popular 3D representation. The 2D quality metric are not suitable

for MVD. In this paper we are work on depth quality assessment of stereoscopic 3D image which is some

modification of 2D image and present the novel algorithm to determine the distortion present in depth

videos induced by compression. Stereoscopic 3D is an attempt to reproduce the process by which we see

with our eyes in order to produce a feeling of depth. The proposed method is based solely on the

statistical analysis of the compression sensitive pixels of depth images. The experimental result is the

â€˜Blind depth quality metric’ (BDQM), a no-reference algorithm to assess the quality of compressed

depth images

Smart Watering System for home garden

Sheetal N. Kabra, Prof.C.A. Manjare

[email protected]


ABSTRACT

Internet of things (IoT) uses local low power wireless connection and high power internet connections to

connect billions of things. Among many low power wireless technologies Bluetooth low energy (BLE),

which consumes less power supports communication between devices very well in local personal area

network. This paper suggests home automation application where BLE can be used. Previously BLE is

used in health applications and in vehicles infotainment system, automated industries. In this paper smart

watering system using Bluetooth low energy (BLE) is proposed. This system is solution for household

chores. BLE has been proved to be best because to its low cost, low power, fast connection and

interoperability features.

Data Loss Prevention In Congestion Prone Wireless Sensor Network Using

VCLR model

Poonam Shinde, Prof.V.M. Sardar

[email protected]


ABSTRACT


In wireless sensor networks data, which get generated is not always same, some data may be important

than others and having different priorities. As deployment size and data rates grow, congestion becomes

major problem in these network. The congestion results in arbitrary dropping of data packets that reduce

the overall network throughput. In wireless sensor network when several sensor detect an event within the

cluster at this time their aim is to transmit this collected information towards the sink node via cluster

head periodically. As the cluster head is the intermediate node between sensor node and sink node. The

congestion may occur at cluster head and this leads to packet drop (Data loss) also affects the reliability of

the network. In this paper with the help of virtual cluster loss recovery model we can increase the loss

recovery ratio and enhance the reliability of wireless sensor network

Depth based Hand Gesture regognition

Patil Chetana Balasaheb, R R Itkarkar

[email protected]

JSPM'S R. SHAHU COLLEGE [037]

ABSTRACT

Hand Gesture recognition for Indian sign languages. The gesture recognition basically is designed for

human machine interaction. The system consists of components such as pre-processors, feature

extraction& recognition for static gesture recognition. In the first component background subtraction&

detection of hand is obtained. Depth camera is used to extract the hand gesture recognition. In second

component features such as contour & convex are computed & gesture is recognized for sign languages

identifiably. The features of hand are extracted and the static hand posture is classified using the support

vector machine (SVM). The result of convexity shows that there white regions which the convex hull

comprises but not contained in the contour. These areas are the defects relative to the outers. The

beginning point & end point are the points on the hull where the defect begins & ends. The distant point

indicates the point on the defect which is the at longer distance from the edge of the hull. The depth of

defect is the distance between long distance point & edge of the hull. Otherwise, the beginning and the

end point are used to determine the fingertips positions. The marks of fingertips are then used for hand

posture differentiation and gesture recognition.

Implementing image compression using tranform based approach

Limaye Mugdha Vyanktesh, Dr.A.N.Paithane

[email protected]


ABSTRACT

Nowadays there is an increased need to store images


in all the fields such as medicine, engineering, industries.Mostly

techniques like wavelet and discrete cosine transform have been

implemented. Wavelet transform has increased the compression

rate. Increasing the compression rate with other parameters by

minimizing the amount of image data in the medical images is a

critical task. . Several techniques have been developed for lossy

and lossless image compression, several techniques were

developed. Image edges have limitations in capturing them if we

make use 1-D wavelet transform simultaneously in 2 dimensions.

This is because wavelet transform cannot effectively represent

straight line discontinuities and be reconstructed in a proper

manner like that of curvelet transform . The Curvelet Transform

is more suitable for compressing medical images, which has more

curved portions. Fast discrete curvelet transform is implemented

is used that is implemented using stationary wavelet transform.

The proposed method is tested on various medical images and the

result shows better performance parameters like Peak Signal to

Noise Ratio (PSNR) and Compression Ratio (CR) and Mean

Square Error.

Music Mood Detection and tracking of music audio signals

Chawda Ankita, Dr.D.G.Bhalke

[email protected]


ABSTRACT

Music is defined in terms of tones, rhythms and harmonic vibrations. Music helps

shiftperspective, to see things differently. It can induce emotions such as hope, courage, fear, joy

etc.Music mood recognition helps extract these emotions from music audio data. It is helpful inmusic

understanding, music retrieval, and numerous other music-related applications. Here,music is

expressed in form of a mathematical language which allows us to model differentemotions either in

form of moods or in terms of dimensions thereby identifying the emotionsassociated with any given

music. In this paper the dimensional approach is used to studyemotions in terms of arousal

(how exciting or calming) and valence (how positive or negative) ofthe music sample. A framework is

presented to automate the task of emotion recognition fromacoustic music data using features such as

pitch, rhythm, timbre, intensity, harmony etc.Training of model for emotion recognition is done using

music database taken from the ACM1000 song dataset which has annotated music clips with their arousal

and valence values to avery fine granularity. For identifying the these dimensions each music clip is first

processed anddivided into fine grained frames and then their acoustic features are extracted.

An SVRregression model is trained based on the extracted features for approximately 600

songs.Furthermore, since mood is usually changeable as time progresses, we also discuss the approachto


continuous tracking of such emotions for a music piece.We also discuss how global features can help

improve the accuracy of frame level emotions. Weintroduce several novel ideas to improve the accuracy

of music emotion recognition. Finallydetailed experimental results are presented to demonstrate the

findings.

Robust Part-based Hand Gesture Recognition using Fingure-Earth Mover's

Distance

Ashwini Ashish Kolhe, Prof. R. R. Itkarkar

[email protected]


ABSTRACT

Hand gesture recognition is of great importance for human-computer interaction (HCI), because of its

extensive applications in virtual reality, sign language recognition, and computer games. Also hand

gesture recognition for real-life applications is very challenging because of its requirements on the

robustness, accuracy and efficiency. Despite lots of previous work, traditional vision-based hand gesture

recognition methods are still far from satisfactory for real-life applications. Because of the nature of

optical sensing, the quality of the captured images is sensitive to lighting conditions and cluttered

backgrounds, thus optical sensor based methods are usually unable to detect and track the hands robustly,

which largely affects the performance of hand gesture recognition. To enable a more robust hand gesture

recognition, one effective way is to use other sensors to capture the hand gesture and motion, e.g., through

the data glove. Unlike optical sensors, such sensors are usually more reliable and are not affected by

lighting conditions or cluttered backgrounds. However, as it requires the user to wear a data glove and

sometimes requires calibration, it is inconvenient to use and may hinder the natural articulation of hand

gesture. Also, such data gloves are usually more expensive than optical sensors, e.g., cameras. As a result,

Compared to the entire human body, the hand is a smaller object with more complex articulations and

more easily affected by segmentation errors. It is thus a very challenging problem to recognize hand

gestures. This work focuses on building a robust part-based hand gesture recognition system using

camera. To handle the noisy hand shapes obtained from the camera, we propose a novel distance metric,

Finger-Earth Mover’s Distance (FEMD), to measure the dissimilarity between hand shapes. As it only

matches the finger parts while not the whole hand, it can better distinguish the hand gestures of slight

differences.

Automatic measurement of joint space narrowing and erosion in Rheumatoid

arthritis patient

Gadhave Sunita Nilesh, Prof. S. A. Bhisikar

[email protected]



ABSTRACT

Rheumatoid arthritis (RA) is a chronic disease that leads to a degradation of cartilage and toerosive

destructions (erosions) of the bone. The disease is progressive and results in pain,stiffness,

and swelling of joints, which show deformity and alkalosis in the late stages of thedisease and can occur

in the majority of people aged around 65. Manual scoring methods aredepends upon the expertise person

and has high variability, less accuracy.In this paper an automatic joint space width measurement

is proposed using digital imageprocessing techniques. For the removal of noise and image

enhancement we used Gaussianfiltering. Initial joint locations are obtained by Local Linear Mapping

based on texture features.Thinning algorithm is used for getting axis of finger bones and Active Shape

Model is used toget shape of bone. Joint space width is measured between two bones. The Active Shape

Model isused to get erosion of bone. The erosion of bone contour classify into classes pre-erosion,

erosionand non-erosion. Template matching/ Neural Network Classifier is used to classify

therheumatoid arthritis and non-rheumatoid arthritis person

Gesture to Speech Conversion For Recognition of Indian Sign Language.

Shubhangi Gajanan Shinde, Prof. R. R. Itkarkar

[email protected]


ABSTRACT

Human computer interaction plays vital role in daily life and in automation industry and we are always

looking for more convenient ways of interaction to transfer data to the machines or commanding them

faster and easier. This work presents real time Hand Posture Recognition Using K-NN and Support

Vector Machine Classifiers consists of three major steps: image preprocessing, feature extraction and

gesture classification. Noise is removed using, morphological closing operation with Gaussian filtering

and background Subtraction by Histogram. Feature extraction consists of normalization and scaling. For

the classification KNN and SVM with linear and nonlinear kernel function is used and performance

analysis of classification algorithm is carried out on the basis of cross validation accuracy. The system is

implemented with a dataset of 500 images of 10 different hand postures which are 10 non-motion-based

Indian Sign Language

Two level QR code

Dipti Suresh Sawarkar, Prof.C.V.Rane

[email protected]



ABSTRACT

QR codes are similar to two dimensional barcodes but having userfriendly appearance .In proposed

system we are going to implement the concept ofQR images, in which we can hide the secrete message

into image and the image isthen encoded with QR codes so that it will be difficult for third

person tounderstand that secret information. We are going to encrypt the numeric

andalphanumeric characters in the QR code. In the proposed method we are going touse the 2 levels or

new rich QR code to carry the secret message mainly to increasethe information security, storage capacity

and high-speed reading applications. The2 level QR codes will have two storage levels, known as Public

level and PrivateLevel. In normal QR codes, the information encoded is always accessible

thoughit is ciphered text and also is very difficult to distinguish between the original andthe copy of the

document. To overcome these disadvantages, 2 level QR codesmainly called as new rich QR codes has

been introduced which will be having thetwo levels. The first level i.e. public level is same as the

standard QR code which isaccessible to any QR code reader and that’s why it has the characteristics of

the QRcodes. In the second level i.e. private level, the black modules are replaced by thetextured pattern

that’s why it invisible to standard QR code reader. This leads toimprove the error correction capability as

it is encoded with q-ary code and can beused for private message sharing and for document

authentication. As application perspective, 2LQR code can be suggested as private

messagesharing scenario and authentication scenario. Private message sharing has to followthe rule of

invisible storage and private message transmission into QR code. Inauthentication scenario, the main aim

to verify if the document is original or a copyand the authentication has to be given only to the original

document

Automatic Emergency safe landing site detection system

Ajinkya Kadam, Prof. P.M Ghate

[email protected]


ABSTRACT

An automatic emergency safe landing site detection system is proposed for aircraft emergency landing

based on visible information acquired by aircraft monted camers. Emergency landing is an unplanned

event in response to emergency situations. The top negative leading factors of unplanned landing which is

also called as emergency landing are engine failure, running out of fuel etc.So finding a safe landing site

is critical to the survival of passengers and crew.The pilot chooses the landing site visually by looking at

the terrain through the cockpit but environment factors like fog rain may give some problem to this

mannual method used by pilot.In addition visual anagle is limited for human eye. Considering all above

factors this Automatic emergency safe landing site detection system is inroduced which will take

paneroma images and do image processing which will provide different options for safe landing sites and

pilot can choose any site from them which are having less problems and suitable and clean as per images

provided by system.


RFID based ID detection for Library system

Patil Aarti Bhinakrao, Prof.P.M.Ghate

[email protected]


ABSTRACT

There has been rising demand for secure system. This paper describes the RFID based ID detection for

Library system .In the long-ago the barcode’s are more preferable as compared to RFID because of their

cost but now a day’s RFID are easily available and are more convenient to use. Here we use the Lpc2148

for interfacing and decoding .these makes the circuit and programming a lot easier to understand. We

exhibit the outline and usage of a framework get to control utilizing radio frequency identification proof

(RFID) controlled by Lpc2148 stage. The proposed framework consists the RFID reader, RFID tag

(distinguishing proof cards), microcontroller Arm7 LPC2148, and graphical UI (GUI) executed in

MatlabÂ®. Through a GUI, it is conceivable to take control of access to the building and check the

help.if tag is matched to stored database then it access, otherwise it denied. Utilizing distinguishing proof

cards, the Students can get to data of approved individual

2D to 3D Image and Video Conversion Methods

Shital Uttam Gaikwad, Prof. R. R. Itkarkar

[email protected]


ABSTRACT

In this modern era 3D hardware popularity is increased but, 3D contents are still dominated by its 2D

counterpart. Until now many researchers have proposed different methods to close this gap. Mainly, these

conversion methods are categorized in an automatic method and semi-automatic method. In an automatic

method human intervention is not involved, where as in semi-automatic method human operator is

involved. There are distinct attributes that can be considered during conversion, like for video conversion

motion is mostly considered parameter; while for image conversion local attributes of images were

considered. The stored images in database with depth images are paired using k nearest-neighbor (kNN)

search algorithm k image + depth pairs that are matched with 2D query left image are searched. By using

Euclidean norm of the difference between histograms of oriented gradients. Median filtering is used for

depth fusion of k images is generated. So this method is a simplified and computational efficient data-

driven 2D-to-3D conversion method and has insured its performance against state-of-the-art Make3D

algorithm.


â€œFeature Selection For Hidden Markov Modelsâ€•

Shinde Priyanka, P. M. Ghate

[email protected]


ABSTRACT

Language is man's most important means of communication and speech its primary medium. Speech

provides an international forum for communication among researchers in the disciplines that contribute to

our understanding of the production, perception, processing, learning and use. Spoken interaction both

between human interlocutors and between humans and machines is inescapably embedded in the laws and

conditions of Communication, which comprise the encoding and decoding of meaning as well as the mere

transmission of messages over an acoustical channel. Here we deal with this interaction between the man

and machine through synthesis and recognition applications. These two taken together allow computers to

work with spoken language. In speech recognition; database creation (training) and recognition processes

are involved. Database creation describes the collection of speaker’s voice samples and extraction of

features for selected words. Recognition is a process to identify the spoken word by comparing current

voice features to pre stored features of voice. In real time, the recognition first it finds the likelihood of

the unknown spoken word to the pre stored database of known words and then it make decision of word

with the selection of maximum likelihood word. The goal of speech recognition is to determine which

speech is present based on spoken information. The system uses MFCC for feature extraction and HMM

for pattern training. The success of MFCC is, it is robust and cost-effective computation. HMM provides

a highly reliable way of recognizing speech. The purpose of this project is to study feature selection and

parameter estimation algorithm for HMM. A feature selection algorithm is presented for hidden Markov

models (HMMs). New parameters, feature saliencies, are introduced to the model and used to select

features that distinguish between states. An expectation maximization algorithm is used to calculate

maximum a posteriori estimates for model parameters. An exponential prior on the feature saliencies is

compared with a beta prior. These priors can be used to include cost in the model estimation and feature

selection process. The literature on feature selection specifically for HMMs is sparse. This project fills a

gap in the literature concerning simultaneous feature selection and parameter estimation for HMMs using

the EM algorithm and introduces the notion of selecting features with respect to cost for HMMs.

Environmental quality monitoring system by using sensor array

Deshmukh Kaustubh Satish, Prof. S. P. Deshmukh

[email protected]

KASHIBAI NAVALE COE, PUNE [036]

ABSTRACT


For most couple of years, recent difficulties of checking and control of far off natural parameters

precisely has developed as new field of research. The idea of Internet of Things (IOT) is additionally

developing quick where everything around us accompanies a web availability for observing and control.

Monitoring the environmental parameters and initiating a control action from internet is also part of this

concept. In proposed work, design an environment monitoring system, capable of monitoring and control

of environmental parameters like temperature, pressure and humidity. Also, focuses on design of a low

cost system that is capable. Which is not just remotely observing the earth factors like temperature,

Pressure and humidity additionally starts some control activity like exchanging devices ON/OFF from the

web. This framework utilizes Wireless sensor Networks for detecting nature parameters in the zone under

supervision. Sensors Node has been intended to gauge the temperature, weight and mugginess.. The

Control node has been designed to initiate the control action. The Central Monitoring is depends on

ARM11 raspberry pi board.

Wavelet Domain Image Resolution Enhancement

Miss Dipali D. Buchade, Mrs. Prof. L.K. Chouthmol

[email protected]

LATE G. N. SAPKAL COE, NASHIK [076]

ABSTRACT

The aim of an image resolution enhancement technique is procedure of interpolation of the high

frequency subband images obtained by discrete wavelet transform intermediate stage by using stationary

wavelet transform. Discrete wavelet transformer is used to decompose an input image into different

subbands. The high frequency subbands as well as the input image are interpolated. The high frequency

subbands produced by stationary wavelet transformer. All subbands are combined to create a new high

resolution image by using inverse Descrete wavelet transformer. Interpolation technique mostly used in

image processing applications such as facial reconstruction, in super resolution, medical field, multiple

descriptions coding. Discrete wavelet transform is used to decompose low resolution image and stationary

wavelet transform is used to preserve edges

#NAME?

Bhamare Mayur Sahebrao, Prof.Kavita J Mahajan

[email protected]


ABSTRACT

Advanced robotics is the future of technology. In the paramount ways that it can be implemented, there

are some devices that can make their use very simple and active entertaining .This paper presents one


such device, that is, the leap motion technology and augmented and virtual reality and its implementation

in a new age robot. The robotic system developed till now, either needs a google cardboard and

smartphone and gesture control sensors to be operated.This paper defines a robot that needs such extra

help from external devices and runs solely on human command and display the immersive view.This

robot can assist a lot in search and shopping mall and industrial application for making human life simple

operations entertainment and inquiry based learning . In the tough world where it is not possible for

humans to reach everywhere and what stuff going on there, especially in the case of natural disarters and

difficult tasks,technology like this can come to grid aid.

Abandoned object detection based on statistics for labeled regions

Snehal Bhausaheb Dahivelkar, Prof.S.B.Borse

[email protected]


ABSTRACT

Abandoned object detection is an indispensable requirement in many video surveillance contexts. with the

rising concern about the security in public places abandoned object detection become very useful system

to detect and recognize the suspicious activities that might endanger public safety, especially in crowded

places like airports, railway stations, shopping malls, movie theatres and the like. The major steps in the

proposed work involves background subtraction, abandoned object detection, and post processing to both

thermal and optical image data sets to extract the abandoned object from the scene.

Keywordsâ€”visual surveillance, background subtraction, abandoned object detection, post processing.

Iris Recognition System: A Novel Approach For Biometric Authentication

Rohini Subhash Shelke, Dr. Prof. S. B. Bagal

[email protected]


ABSTRACT

The main issue of this decade is security. Nowadays, there are different authentication systems based on a

password, card and biometric are present. Password and card based systems are the failure due to humans'

poor judgment. The researchers suggest that the biometric is most secure and prominent solution for

systems security. Among the biometric systems, iris-based biometric systems are more secured. In this

proposed system, segmentation technique utilized shape, intensity and localization of the pupil and iris.

The segmented region is converted into the rectangular region by normalization process. The use of Gray

Level Cooccurrence Matrix (GLCM) and Hausdorff Dimension (HD) extracts the texture based features.


The extracted features were classified by supervised SVM machine learning algorithm. The performance

of the proposed system shows the robustness of the system

Internet of things

Sumit Bendre, Prof. Sunil Kumar

[email protected]

MIT PUNE [002]

ABSTRACT

Considerable effort has been put towards developing intelligent and natural interfaces between users and

computer systems. This is done by means of variety of modes in information (visual, audio, pen, etc.)

either used individually or in combination. The use of gestures as means to convey information is an

important part of human communication. The automatic recognition of the gestures enriches the Human-

Computer Interaction by offering a natural and intuitive method of data input for the Human-Computer

Interaction (HCI) based on shape analysis. The objective of this effort was to explore the utility of a

neural network-based approach to the recognition of the hand gestures. The proposed system used the

hand contour as a geometry feature. The overall model is designed to be a simple and robust gestural

interface prototype for various PC applications. Artificial Neural networks are flexible in a changing

environment. In this approach, we have taken snap shot of different hand gesture as input database

through Web-Cam connected to system and Feed Forward neural network based Error Back Propagation

Training Algorithm (EBPTA) used for classification and recognition purpose.

Attendance System Based On Face Recognition Using DRLBP Algorithm

Nilofer Tamboli, Dr.M.M Sardeshmukh

[email protected]

MIT PUNE [002]

ABSTRACT

we have proposed a conceptual model for automated attendance marking system using facial recognition

for high efficient signal transfer system application. With advances in telecommunications and computing

technologies, video and digital images are playing important roles in this information era. Human being

face is an essential biometric object in image and video databases of examination systems. Detecting and

locating human faces and facial features in an image or image sequence are important tasks in dynamic

environments, such as videos, where noise conditions, illuminations, locations of subjects and pose can

vary significantly from frame to frame. An system for human face recognition in real time background for

a college to mark the attendance of their employees and students therefore using Real Smart Attendance

for Face Recognition is a solution for real world that comes with day to day activities of handling


students. Here multiple user faces are detected and recognised with the data base trained multiple texture

based features.

IDENTIFICATION OF ABNORMALITIES IN MAMMOGRAMS USING

CUDA PLATFORM

Asad Parvez, Dr. Anuradha C. Phadke

[email protected]

MIT PUNE [002]

ABSTRACT

One of the most effective techniques for early breast cancer detection is Digital mammography. In this

technique, the electronic images of breast are taken and stored in the computer. Abnormalities in these

images can be found by Gray-Level Co-occurrence Matrix (GLCM) and its textural features. The

calculation of GLCM and it's textural features is a time consuming process. The affordable solution is

Graphical Processing Unit (GPU) based Compute Unified Device Architecture (CUDA) framework

where the calculations can be made parallel. The sequential program on CPU as well as parallel program

on GPU of GLCM and textural feature calculation have been implemented. The results of optimized

parallel implementation on GPU show up to 12 times faster calculation over sequential implementation on

CPU.

Implementation of Auditory Filter Bank for Denoising Speech Signal using

Simulink.

Priya Saboo, Prof. Vanita Raj Tank

[email protected]

MIT PUNE [002]

ABSTRACT

Audio is corrupted by different types of noise during acquisition of audio. The aim of noise removal from

audio is to attenuate the noise without modifying the original signal. Recently signal processing technique

for audio applications are incorporating features of human auditory system. Impulse response of basilar

membrane in the cochlea is basis for auditory filter bank. The proposed work deals with the

implementation of auditory filter bank in MATLAB Simulink to investigate its feasibility for noise

reduction in audio signal processing technique. Significant applications are in the area of speech and

music synthesis, speech feature extraction, audio coding, hearing aid, etc.


Multi-focus Image Fusion using Deep Belief Network

Sana Shaikh, Dr. Arti Khaparde

[email protected]

MIT PUNE [002]

ABSTRACT

Multi-focus images may be fused to get the relevant information of a particular scene. Due to the limited

depth of field of a convex lens of a camera, some objects in the image may not be focused. These images

are fused to get the all-in-focus image. This paper proposes an innovative way to fuse multi-focus images.

The proposed algorithm calculates weights indicating the sharp regions of input images with the help of

Deep Belief Network (DBN) and then fuses input images using weighted superimposition fusion rule.

The proposed algorithm is analyzed and examined using various parameters like entropy, mutual

information, SSIM, IQI etc.

Dual Rate Hybrid DAC Architecture

Akbani Yahya Mohammadyasin, Dr. Prasad Khandekar

[email protected]

MIT PUNE [002]

ABSTRACT

This paper presents a dual rate architecture which includes a conventional Nyquist DAC (Digital to

Analog Converter) and a Delta-Sigma DAC. Tanner EDA tool is used to implement the architecture. The

conventional DACs which give high speed have limited linearity and the sigma delta DACs have higher

linearity but they are slower in comparison. Therefore, the dual rate hybrid architecture was proposed to

achieve both. The implementation of the hybrid architecture is achievable in CMOS. In this paper, the

design is fractioned into different blocks and those blocks are implemented using CMOS technology in

Tanner tool.

Different Segmentaion Algorithms For Bone Age Assessment

Pradnya A Birade, Dr. Arti Khaprde

[email protected]

MIT PUNE [002]

ABSTRACT


Over some decades image processing has been widely used in medical research. Estimation of bone age is

one of the emerging topic in medical imaging. Bone age assessment (BAA) is an automated process to

evaluating the skeletal maturation level in children. The bone age is assessed by radiological examination

of skeletal development of left-hand wrist with database and then compared with the chronological age

(CA) which is the actual age from the birth date. A difference between these two values indicates

abnormalities in the skeletal development. Manual methods of BAA are time consuming. This paper deals

with the implementation and analysis of different segmentation techniques that can be used to extract

different bones in the wrist like distal, middle, proximal, radius and ulna.

Noise Reduction Using Fractional Calculus

Pramodini Shrihari Talware, Vanita Raj Tank

[email protected]

MIT PUNE [002]

ABSTRACT

In this paper, noise reduction utilizing fractional calculus is proposed. Different strategies are available

for commotion diminishment. Fractional calculus has been recently applied in various zones like

designing, science, bio-building. It has numerous applications, for example, use in separation, integral

equations, signal processing, fluid mechanics, and electrochemistry. In this work speech processing signal

application where Discrete Fractional Fourier Transform (DFRFT) is used which is an essential tool for

signal processing. It is a generalization of Discrete Fourier Transform. DFRFT has DFT Hermite

eigenvectors and retains the eigenvalue-Eigen function relation as a Fractional Fourier Transform that

reconstructs the signal. For the purpose of noise reduction Blind Source Separation has been utilize which

does not have prior knowledge of the original signal. By using this algorithm, we get better results and

SNR for enhanced signal as compare to noisy signal.

Retina Based Biometric Identification Using Feature Descriptors

Shalaka Haware, Prof. Alka Barhatte

[email protected]

MIT PUNE [002]

ABSTRACT

In this paper, another method for biometric identification using retina with the help of feature descriptor is

developed. Biometrics the term is normally connected with the utilization of extraordinary physiological

attributes to recognize a person. Various biometric recognizable proof techniques have been formed for

acknowledgment, but retina identification is the finest. In this, the Speeded Up Robust Feature (SURF)

and Oriented Rotated and BRIEF (ORB) are utilized as a feature descriptor. The retinal images often


experience ill effects of defects like affine transformations i.e. translation and rotation, scale changes,

intensity changes. These imperfections can truly influence the feature extraction process regarding

execution time and quality. Hence to cope with these problems, SURF is used. This process gives robust

and fast image matching for feature matching process. ORB is very fast and based on binary descriptors,

which is rotation invariant and impervious to noise and performs faster than SURF. The VARIA database

is used for the estimation of SURF and ORB. For this system, the true acceptance rate for SURF is 96.296

percent and for ORB is 98.148 percent.

Arrhythmia Classification Using Neuro-Fuzzy Approach

Sayali Bhupendra Tandale, Prof. Alka S.Barhatte

[email protected]

MIT PUNE [002]

ABSTRACT

Electrocardiogram (ECG) is a non-stationary signal which constitutes a lineal recording that provides an

insight into heart’s electrical activity. Because cardiovascular diseases (CVD) are the number one cause

of mortality globally, detection of these abnormalities in ECG at an early stage is crucial for diagnosis and

treatment of CVDs. Analysis of ECG components with the help of advanced signal processing and data

analysis techniques provides useful information required for diagnosis of heart diseases. With the help of

available database of ECG signals, a system can help the cardiologists in detecting the type of arrhythmia

present in a patient. The proposed system learns fuzzy logic using an Adaptive Neuro-Fuzzy Inference

System (ANFIS) with the input preprocessed with subtractive clustering algorithm for removal of

undesirable high frequency noise etc. For classification, four classes of ECG, Left Bundle Branch Block

(LBBB), normal sinus rhythm, Atrial Premature Contraction (APC) and paced beats are considered.

Our goal is to extract those features of an ECG signal which can accurately determine if the patient’s

heartbeats are normal or irregular and classify them accordingly. We have applied Principal Component

Analysis (PCA) to reduce the sample values while extracting the statistical features. The results give an

average accuracy of 99.50%.

Keywordsâ€”ECG;CVD;ANFIS;features;LBBB;APC;Paced

Energy Efficient Street Light Controller for Smart Cities

Khatavkar Nikhil Ajit, Prof. Mrs.A.A.Naik

[email protected]

MIT PUNE [002]

ABSTRACT


Smart city-based electronic product applications are gaining importance nowadays. It includes efficient

urban mobility, efficient public transportation, e-governance, safety and security, smart lighting system,

etc. The focus of this work is on designing street light control system providing reduction in power

consumption and wireless control. This kind of street lighting states to open street lighting that adapts to

movement by cars, walkers or cyclists. The system will work as adaptive street lighting. It will be blurred

when no activity is detected and will brighten when some movement is detected. In this case, the lighting

system is different from old-fashioned, fixed illumination, or dimmable street lighting that dims at pre-

determined times. Excessive lighting can be banned by targeted dimming of zones of the city, roads or

individual luminaires. According to traffic and crowd, light intensity will be controlled. This paper also

incorporates light sensors which will be useful in a rainy environment. Number of street lights will be

controlled by the user at a remote place. The complete system will work on RTC where lights will be

running at 100% intensity in peak traffic time and with reduced intensity after peak traffic time.

Heart Disease Classification using Convolutional neural network

Gawande Nikhil Prabhakar, Alka Barhatte

[email protected]

MIT PUNE [002]

ABSTRACT

Heart disease is canopy term for any disorder that distress health of an individual. There are heart diseases

like Ischemic heart disease, arrhythmia etc. These diseases can be classified using

Electrocardiography(ECG) signal. ECG is preferred to the display condition of the patient and for the

diagnosis and treatment of various types of cardiac diseases. The variations in P-wave, QRS complex and

T-wave parameters in ECG are used to identify the type of illness of the human heart. some heart diseases

are not serve though other may prove fatal. Thus, there is need of classification of different heart diseases.

To classify various heart diseases, it is intended to implement 1D CNN algorithm in the proposed work.

Comparison of Different Feature Extraction Techniques for Character

Recognition of Handwritten Devanagari Script

Sneha Rajendra Shitole, S.N. Jadhav

[email protected]

MIT PUNE [002]

ABSTRACT

Handwritten character recognition of Devanagari script is an area of research in the field of pattern

recognition. Feature extraction is crucially significant step in recognition system. The most important step

in Optical Character Recognition (OCR) is to select good feature extraction method. . In this paper, three


feature extraction methods: chain coding, edge detection using gradient features and direction feature

techniques are compared using Support vector machine (SVM).

Implementation of Spectral Subtraction for Audio processing in Simulink

Ravina Jain, Vanita Raj Tank

[email protected]

MIT PUNE [002]

ABSTRACT

Spectral subtraction is one of the classical methods for audio de-noising in speech enhancement field,

whose purpose is to improve the quality and perspicuity of speech without any artifact. Spectral

subtraction is basically used for background noise suppression. Different algorithms have been proposed

for speech enhancement, among which the spectral subtraction give the best results. This paper describes

the implementation of spectral subtraction in MATLAB(SIMULINK), using Ideal Binary Masking(IBM),

which improves the for automatic speech recognition. In this paper different types of noisy audio signals

are analyzed like station noise, street noise, and restaurant noise, SNR is calculated and compared it with

local SNR i.e IBM to estimate the noise and subtracted from the noisy signal which results into de-noised

signal.

Implementation of CAN communication in PLC

Thoke Anusha Sunil, Prof. A. A. Naik

[email protected]

MIT PUNE [002]

ABSTRACT

This paper deals with the hardware simulation and CAN communication between the Expansion module

and Base module of the PLC (Programmable Logic Controller ). The microcontroller STM32F103C8Tx

will be used for simulation of the development of expansion module.and the results will be displayed on

the Display

Model Based Embedded Control System Design for Smart Home

Neelam Agarwal, Prof Varsha S. Bendre

[email protected]


MIT PUNE [002]

ABSTRACT

The notion of a smart home with integrated sensors, actuators, wireless network and a graphical user

interface is very enticing. The proposed system presents the design and implementation of reliable,

flexible, secure and economical sensor network for transforming traditional home into a smart home. The

heterogeneous sensor and actuator nodes based on wireless networking technologies are deployed in the

home environment. Hardware proposed, is going to control all home appliances in home along with

exchange of data for energy and performance Analysis. All devices are connected through wireless

protocols, to provide seamless data transfer between control module and appliances. Complete home

environment and control system modeled in Matlab Simulink before implementation, model based control

approach is the key to develop this application, and control model will be embedded in the

microcontroller board to realize the actual application. With system model and control model, will be able

to perform model in loop, software in loop, hardware in loop testing. On successful testing, the actual

implementation will be demonstrated with wireless network, actual loads and central processing control

unit which control the home environment, using Model Based Control Design.

A new and efficient alogorithm for removal of high density salt and pepper

noise in image and vedios

Chaitali Kadam, Prof.S.B.Borse

[email protected]

MIT PUNE [002]

ABSTRACT

In medical image processing the quality of the image is degraded in the presence of noise especially in

ultra sound imaging and Magnetic resonance imaging the data was corrupted by signal dependent noise

known as salt and pepper noise. Removal of noise from the medical images is a critical issue for analysis

and interpretation. In this work a new technique called Spatial Adaptive Mask Filter is proposed. The

proposed filter improves the quality of MRI and ultra sound images.Experimental results show that the

proposed filter outperforms than the mean, median, and adaptive median filters in terms of mean square

error (MSE) and peak signal to noise ratio (PSNR).

Secure & Energy Efficient Reconfigurable Cryptosystem Architecture for

Video Applications.

Shelke Babasaheb Sabaji, Dr. G. U. Kharat

[email protected]


SGMSPM'S S. PAWAR COE ,OTUR [68]

ABSTRACT

Use of cryptosystem architecture in video application reduces wide complexity. To enhance the security

the combined work of public key cryptography and private key cryptography referred. The basic aim

behind this all is to generate a stream ciphers which ensures the privacy within communication channel.

When we move towards Long Term Evolution and Mobile applications the size and method for

generation of stream ciphers have extent importance. Stream ciphers can be generated simply from

pseudorandom sequence generator. An efficient way to produce stream cipher is its implementation in

hardware environment such as FPGA (Field Programmable Gate Array). In this paper we are mainly

interested in LTE systems and the different architecture and algorithms are used for their implementation.

The architectures used in LTE mainly follow the 3GPP confidentiality algorithm 128-EEA3 and the

3GPP integrity algorithm 128-EIA3. On above which SNOW3G and ZUC stream ciphers are dependent.

Since all are above mainly consider in beyond 3G applications. Here we are implementing ZUC

architecture in which the algorithm is designed in VHDL code and implemented on FPGA.

9785

Pardhi Seema Namdev, Dr. G. U. Kharat

[email protected]


ABSTRACT

In previous years, the documents were made on papers, but papers are degrades due to chemical reaction

and may results in the important information lost. To solve this problem degraded documents are

binarized with image processing and computer vision algorithms. To obtain the cleared binary document

from the degraded document, it has to process with different image processing methods such as

preprocessing, contrast enhancement, binarization, edge detection, text stroke detection and post

processing.

In this paper, adaptive image binarization method using the combination of local image contrast and local

image gradient has been proposed. Firstly the contrast map of degraded document is constructed,

binarized it and text edge stroke are extracted by combining the binarized image with the canny edge

map. Finally, the text stroke edges within local window are obtained by applying local thresholding. The

proposed algorithm is tested on the DIBCO database and gives promising results.

ALTERNATIVE PRODUCT LABEL READING AND SPEECH

CONVERSION: AN AID FOR BLIND PERSON


Rajendrasing Pratapsing Rajput, Dr.Rushikesh Borse

[email protected]

SINHGAD ACADEMY OF ENGG., PUNE [043]

ABSTRACT

An aid to help handicap people is proposed in this paper for reading text labels in their day to day life

which can be executed by isolating the objects through cluttered backgrounds or either surrounding

objects in the camera view. This paper establishes a productive and efficient motion based technique for

defining a region of interest (ROI) in the video by shaking the object in the image. Gaussian based

background subtraction method is used for extracting region of movement of an object. Text localization

and recognition is done by using extracted ROI; since it is useful for retrieving text information. Learning

gradient features based algorithm is used for text localization in an Adaboost model. Optical Character

recognition technique is used for recognizing text characters in localized text regions. These text codes

are then recognized and then converted into speech signal as output for visually impaired people.

Red Lesion Detection In Fundus Image Affected By Diabetic retinopathy

Sarika Ekatpure, Ruchi Jain

[email protected]


ABSTRACT

Diabetic Retinopathy is disease found in eye’s retina. In this disease red lesions due to blood leakage can

be seen on surface of retina. Diabetic Retinopathy is observed in a patient suffering from diabetes.

Ophthalmologists by manual inspection of fundus image diagnoses the disease. This takes a lot of time.

So there is a need of computer automated system for detection of red lesions. This paper present the

methodology to detect red lesions in the fundus image automatically. This proposed methodology uses

match filter extraction of vasculatures in retina and detection of red lesion. Support Vector Machine is

used for classification of disease. Extracted features of red lesions are used to train Support Vector

Machine. Diabetic Retinopathy can be classified as red lesion detected or red lesion not detected

Emotion recognition analysis based on EEG signals

Vaishali Khirodkar, R.P.Borse

[email protected]


ABSTRACT


Emotion recognition is a procedure of distinguishing human feelings utilizing facial expressions, speech,

physiological signals, etc. EEG signal has a low noise ratio, as they originate from brain and are not prone

to social masking. We have chosen the physiological EEG signal to perceive human feelings. The

obtained EEG signal is processed, and different prominent features have been extracted on the basis of

which the emotions are classified using the minimum distance classifier into four quadrants of valence

and arousal. From the analysis, we have discussed how these different feature combinations and the

different distances which are applied for emotion classification have been selected. From the analysis

Manhattan distance is proved as the best for feature classification as it gives the accuracy of 97.5%,and

channel 10 is the most efficient channel.

Data Transmission Using Low Power Red LASER Beam With Voice

Announcement Facility.

Ashlesha Wankhede, Dr.J.P. Shinde

[email protected]


ABSTRACT

The use of LED-based visible light communication (VLC) for short range and low data rate application

has become area of focus for research and development communities.The paper addresses a

microcontroller based communication framework utilizing laser light to transmit information. The

microcontroller is interfaced with PC with the end goal of giving input parameters, for example text

content and sound to transmit with the assistance of laser medium. Here we transfer data in the form of

character or sound signal from one PC to another PC or Mobile to PC with the help of laser medium

wirelessly. In this investigation we found that the information transmission utilizing laser light is better in

many regards than the conventional communication system. Laser light has higher power, effectiveness,

and additionally better visibility and execution quality. It gives a significantly more straightforward

communication framework and lessening the perplexing wiring.

Hardware Implementation of Emotion Recognition System using EEG signals

Ratna Saha, Dr. M.M. Sardeshmukh

[email protected]


ABSTRACT

Recognizing human emotion is a technique used to read the human emotions using facial expressions,

speech, physiological signals, etc. EEG signal are not prone to social masking. The acquired EEG signal

is processed and various prominent features have been extracted on the basis of which the emotions are


classified using the minimum distance classifier into four quadrants of valence and arousal. From the

analysis, we have discussed how these different feature combinations and the different distances which

are applied for emotion classification have been selected. From the main analysis Manhattan distance is

proved as the best for feature classification as it gives the accuracy of 97.5%. The hardware

implementation of the signal is done on Raspberry Pi 3 Model B to show the emotion plotting and also

the supporting screen of Raspberry Pi is used for display. The software platform is based on the octave.

The furthermost result is shown on the screen with the supportive octave platform.

Effect of slot parameters on square patch antenna

Priyanka Dabrase, Dr. P.N. Shinde

[email protected]


ABSTRACT

This paper presents an impact of slots on square shape patch antenna The square microstrip antenna

comprises a thin sheet of FR4 having dielectric constant 4.3 substrate with conductive pure copper film

coating for radiating patch and ground plane and is feed through a coaxial probe feeding technique. The

square shaped patch is modified by inserting diagonally perpendicular slots. The antenna is radiated at

frequency of 4.72GHz. The impedance bandwidth of proposed antenna is 0.2719 GHz (4.6616GHz -

4.9335GHz), while the radiation efficiency is 43%. The peak gain over the operating bandwidth is 3.8 dB.

The antenna is circular polarization in nature with axial ratio bandwidth of 0.024462GHz .The proposed

antennas were simulated using CST microwave studio in the 0 to 6 GHz operating frequency range.

Simulation results were presented and discussed.

Reversible Data Hiding Using Histogram Modification Technique for

Contrast Enrichment

Kshirsagar Aparna, Dr. M.M.Sardeshmukh

[email protected]


ABSTRACT

This paper aims at proposing an encryption method by reserving quality of image. Some of previous

methods, embedding of data using different algorithms which may subjected to formation of error after

data extraction.The proposed scheme is achieved in real reversibility, data extraction and image

restoration are free from errors.Usual algorithms keeps PSNR values high for better quality but this

system just enhances the contrast of host image to achieve better visual quality using Reversible Data

Hiding. Highest two bins in the histogram are selected for data embedding so histogram equalization is


performed by repeating the process.The original image can be completely recovered by embedding side

information along with message bits into host image.Implementation of algorithm is on two sets of

images to define its efficiency.The assessment results shows that visual quality can be restored after

embedding considerable amount of bits.This system gives better results than three specific MATLAB

functions

Emotion Recognition using Deep Neural Networks

Vibha V Salunke, Dr. C.G. Patil

[email protected]


ABSTRACT

The Recognition of human emotions has been a challenging topic in field of human-computer interaction.

In order that there is a more natural interaction between human and computer, the computer must be able

to recognize, distinguish and respond to human emotions. Also the Automated Face Expression

Recognition (FER) is still continuing to be a challenging and concerning problem in Computer Vision. In

spite of all the efforts being made in the evolution of various methods for FER, the present methods lack

the popularity when it comes to unseen images or pictures captured in wild setting.

In this project we tend to design an artificially intelligent system capable of emotion recognition through

facial expressions. The network in this paper consists of three convolutional layers each followed by max

pooling and ReLu. The network is trained on FARC dataset and tested on RaFd dataset thus giving our

network a wide range of training images so that it can overcome the basic problem of recognition of

unknown faces.

Performance Analysis of DS CDMA System with Nakagami and Rayleigh

Fading channel

Patel Neha Shashikant, Prof. R. G. Zope

[email protected]

SRES COE, KOPARGAON [012]

ABSTRACT

In this proposed system, we analyze the system performance of DS CDMA System using Rayleigh and

Nakagami-m fading channel. The analysis is also extended to Rake receiver with Maximal Ratio

Combining (MRC) technique with multiple receiving antenna. The results are presented in terms of BER,

SNR and improvement of receiver sensitivity due to diversity. In Proposed work we will work on the

relationship between MRC diversity and Nakagami-m fading is investigated. The error performances of


several modulation schemes with diversity over Rayleigh fading and without diversity over Nakagami-m

fading is analyzed and compared under rake receiver environment. The analysis is further extended to

diversity over Nakagami-m fading channel. An attempt has been made to find the physical interpretation

of Nakagami-m with MRC diversity over Rayleigh fading channel. A novel equivalence is obtained

between diversity orders over Rayleigh fading and Nakagami parameter m.

Keywordsâ€” MAI, SINR, MRC

Adaptive Traffic Light Control System

Shinde Swapnil Manohar, Prof. M. A. Sayyad

[email protected]


ABSTRACT

Conventional traffic light control systems are based on fixed time

intervals of the traffic lights. These conventional systems have

limitations as they lack adaptation on real time basis. Thus due to

fixed time intervals of signals there is excess waiting time on roads.

Also these conventional systems do not have any provisions to provide

information on traffic densities, which lead to traffic congestions.

Thus, to make traffic light controlling more efficient we exploit the

emergence of Adaptive Traffic Light Control System (ATLCS). ATLCS

makes use of sensors for sensing the traffic. On categorising this

sensed traffic the timings of signals at crossing are varied to keep

waiting time minimum. Thus, optimization of the traffic light

switching increases road capacity and prevents traffic congestions.

The system also aims at incorporating special provisions for making

immediate way for the emergency vehicles. GSM cell phone interface

provides traffic information to drivers on demand.

Automatic Number Plate Recognition for Vehicle Identification using OCR

Miss. Aher Suvarna Ramchandra, Prof. N. D. Kapale

[email protected]


ABSTRACT

Number plate recognition is a form of automatic vehicle identification. It is an image processing

technology used to identify vehicles by their own number plates. Automatic Number plate recognition is


designed to identify and recognize the number plate.Automatic number plate recognition has three major

parts: vehicle number plate extraction, character segmentation and Optical Character Recognition (OCR).

In this system, Automatic Number Plate Recognition (ANPR) is a special form of Optical Character

Recognition (OCR). OCR is used to recognize an optically processed printed character number plate

which is based on template matching. The resulting data is then used to compare with the records on a

database with the specific information like the vehicle’s owner, place of registration, address etc .The

system is implemented and simulated in Matlab and its performance is tested on real images. The

developed system successfully detects and recognize the vehicle number plate.

A Person Identification Framework Based On Palmprint And Fingerprint

Biometrics.

Gaikwad Prajakta Prabhakar, Prof. N D Kapale

[email protected]


ABSTRACT

The survey on palm print and fingerprint has been investigated over many years. Fingerprint is a

popular biometric identification technology and studies are still going on in the palm print identification.

But researches based on the multimodal biometric that combines palm print and fingerprint technology,

which will provide better security and robustness comparing to the stand alone model have not been that

much expanded. This paper provide an overview of current palm print and fingerprint technologies

describing in particular the different pre-processing techniques, feature extraction, fusion techniques and

varieties of matching algorithms. The training database consists of finger and palm print images. Principal

Component Analysis method is used to extract the features from finger and palm prints separately. The

feature normalization take placed. The normalized match (distance) scores generated by respective palm

and finger features before fusion, are used to form fused match score. The Euclidean distance and the

feature distance are calculated after fusion. All three distances are used to arrive at final decision. The

feature extraction and the matching modules of the biometric system can lead to substantial improvement

in multimodal matching performance.

Psoriasis detection using texture analysis

Vrushali Vasudev Muradare, Dr. D. N. Kyatanavar

[email protected]


ABSTRACT


Psoriasis is a chronic inflammatory skin infection that effectsmore than 3% of the population. Different

strategies are at present used to assess psoriasis seriousness and to screen restorative reaction. Thesystem

of scoring is generally utilized for assessing psoriasis seriousness. It uses a visual simple scale to improve

the performance of psoriasis sores. In any case, system scores are subjective and experience the ill effects

of poor bury and intra-eyewitness concordance. As a fundamental piece of building up a solid assessment

technique for psoriasis, a calculation is exhibited for fragmenting scaling incapture images. The

calculation is accepted to be the first to restrict scaling specifically in computerized images. The scaling

division issue is dealt with as an order and parameter estimation issue. A MRF is utilized to smooth a

pixel-wise characterization from SVM that uses a component space got from image shading and scaling

surface. The preparation sets for the SVM are gathered straightforwardly from the picture being broke

down giving the calculation more flexibility to varieties in lighting and skin sort. Utilizing the algorithms

the out is to give solid division yield when assessed with pictures with various distinctive lighting

conditions, skin sorts, and psoriasis sorts.

solar energy based sine wave inverter

Varsha Laxman Admane, Prof. R G Zope

[email protected]


ABSTRACT

Energy crisis are of special attention now-a-days. A need

for reasonable power rating inverter is required to smoothly operate

electrical and electronic appliances. Most of the commercially

available uninterruptible power supply ( UPS) are actually

square wave inverters or quasi sine wave inverters. Lights and fans

can only be switched with the help of them and other electronic

devices cannot be plugged into them as they damage them. Available

sine wave inverters are very expensive and by examining the output

wave, it is observed that it is not of good quality. Quality of output

waveform of an inverter is determined by the harmonic contents present

in it. An ideal inverter should only have a fundamental harmonic

component at the designed frequency. Square wave contains odd

harmonics from which fundamental harmonic component can be extracted

by applying higher order filter. Higher order filters in terms of

inductors and capacitors are physically unrealizable, its mathematical

analysis becomes complex and gain of the system decreases

drastically.There are different topologies for implementing sine wave

inverter. Sine wave inverter is widely used in many commercial

and industrial applications including uninterruptable power

supplies, induction heating, variable frequency drives, electrical

vehicle drives and high voltage direct current (HVDC) links.A control


circuit based advanced technique of generating sine wave with

minimized harmonics is implemented in this project. The proposed

technique aims to design and implement a voltage regulated inverter

with ripple free and glitch free output sine wave that can operate

electronic devices efficiently. The design is essentially focused upon

low power electronic appliances such as personal

computers, chargers, television sets. The inverter output is regulated

from 16-volt rms to 230-volt rms . The design is mathematically model

which will be simulated using software Matlab, Proteus and the

results will be verified .

Digital Audio Implant in a Image for Information Protection.

Bhagyashree Arun Aher, Dr. B. S. Agarkar

[email protected]


ABSTRACT

In recent times, communication through the internet has tremendously facilitated the distribution of

multimedia data. Although this is indubitably a boon, one of its repercussions is that it has also given

impetus to the notorious issue of online music piracy. Unethical attempts can also be made to deliberately

alter such copyrighted data and thus, misuse it. Copyright violation by means of unauthorized

distribution, as well as unauthorized tampering of copyrighted audio data is an important technological

and research issue. Digital audio implant is a solution to tackle this issue.

The main purpose of digital audio implant is to protect against possible threats to the audio data and in

case of copyright violation or unauthorized tampering, authenticity of such data can be disputed by virtue

of audio implant. This method is also called as watermarking. For this we are going to see an Integer

transform called as RCM i.e. Reversible contrast mapping.

pH neutralization using hybrid Fuzzy PID controller

Gadekar Chhaya Balasaheb, Prof. S George

[email protected]


ABSTRACT

The interest for utilization of cutting edge control systems for process ventures is expanding quickly due

to complex nature of modern procedures. The request too increments to accomplish change of the item

quality and ecological components. One such case of complex process is the pH balance prepare. This


paper presents an optimized mathematical modelling and advance hybrid controller (Fuzzy Logic and

PID) design along with practical implementation and validation of pH neutralization pilot plant. The

accuracy of the proposed system is greater than the earlier techniques

A Reconfigurable Smart Sensor Interface in IoT Environment

Taware Krushnali A., Dr. (Mrs.) Doshi N.A.

[email protected]

SVPM's College of Engineering, Malegaon (BK), Baramati[19]

ABSTRACT

In wireless sensor network (WSN) a sensor interface device is very important. On the Internet of Thing

(IoT) environment, every sensor is associated with the device is required to write a complex & long data

collection program code. Also, different users have different requirements and need different types of

sensors for are required for different applications. This paper deals with smart sensor interface: a portable

STIM block is obtained using a VHDL model of IEEE1451.2. Hence compact solutions allowing low-

cost, small, smart, large- scale production is possible. To evaluate the performances of proposed model,

the parameters like temperature and light intensity is measured in the case of a smart city.

Automatic Detection of Sleep Apnea Using Physiological Signals

Dhale Prachi R., Prof. Borate S.P.

[email protected]


ABSTRACT

We established and tested a sleep apnea monitoring method using analysis of ECG and SpO2 signals for

continuous and accurate monitoring of apneic events occurred during sleep. Two signals ECG and SpO2

are investigated, to extract a physiological indicator that determines sleep apnea. The pulse oximetry

signals divided into signal segments and features from SpO2 are extracted in the time and frequency

domain. It uses the support vector classifier (SVC) to detect apnea episodes. The work presented in this

paper was tested using downloaded polysomnographic ECG and SpO2 data from the Physionet database.

SVC model complexity is reduced by reducing the dimension of feature set from ECG. Also reduction in

ECG-derived respiration signals and the number of support vectors play important role to reduce SVC

model complexity.


Design And Implementation Of Aging-Aware Reliable Super Multiplier

Design With Adaptive Hold Logic

Atole Shital T., Dr. (Mrs.) Doshi N.A.

[email protected]


ABSTRACT

- In VLSI to reduce the power dissipation, scaling methods plays an important role. Advanced digital

multipliers are among the most worrisome arithmetic units. The overall performance of these multipliers

depends on throughput as well as latency. There ar

Identification of Brain Tumor Using Gray Level co-occurrence matrix

Technique

Bhagat Jayali V., Prof. Dhaigude N.B.

[email protected]


ABSTRACT

Brain tumor is abnormal growth of mass within the brain. This is very serious problem for physicians. To

solve this problem an automated system is needed to identify and classify the brain tumor. This paper

shows the comparison of three different intensity based feature extraction method. Four main classes of

brain tumor are bronchogenic carcinoma, Astrocytoma, Meningioma, sarcoma. The main aim of this

paper is to extract the various intensity based features and for this calculation MATLAB tool is used.

Experimental result shows that GLCM (Gray Level Co- Occurrence Matrix) method gives good results in

terms of accuracy.

Hybrid Automation Framework For Embedded System

Burungale Rutuja C., Prof. Borate S.P.

[email protected]


ABSTRACT

This paper presents the tool that tests recurring behavior, i.e., UI Patterns, on mobile applications. The

tool is implemented in Java and makes use of Android’s APIs UIAutomator. It automatically explores a

mobile application in order to automatically identify and test UI Patterns. Each UI Pattern has a test


strategy, Test Patterns, associated, which are applied when an UI Pattern is found. The approach works

with catalogue of UI Patterns, which tells us among the many patterns enlisted in catalogue which UI

Patterns are to be tested, and what should their correct behavior be, and they can be used for any

application. The paper proposed an automatic test framework to fulfill workflow testing requirements.

DFT Based IRIS Recognition System

Chandgude Pranita M., Dr. Patil A.A.

[email protected]


ABSTRACT

As in today’s information technology world, systems security is becoming more and more essential. The

number of systems that have been compromised is ever increasing and authentication plays a major role

as a first line of defence against intruders. So , Biometrics applications are becoming more & more trendy

for verification & authentication of the living person based on its psychological & behavioral

characteristics in the recent years. Iris recognition system is reliable for purpose of authentication

because of its unique patterns of iris. Previous biometric identities involves fingerprint, palm , voice,

signature & gait style etc. but if the age of human being increases they will suffer from various problems

with this previous biometric identities. Whereas iris will have less problems as it is internal & more

secure organ of the eye & the patterns of iris will be stable throughout our life. So iris recognition will

one of the new & innovative biometric application.

Battery management system in electric vehicle

Dhaigude Rohit S., Prof. Shaikh J.H.

[email protected]


ABSTRACT

A battery management system (BMS) is an electronic regulator that monitors and controls the charging

and discharging of rechargeable batteries. The BMS is monitors the charging and discharging such as

voltages, currents and the battery internal and ambient temperature. The monitoring circuits would

normally provide inputs to protection devices which would generate alarms or disconnect the battery from

the internal load,charging circuitary and it should any of the parameters become out of limits.


Prostate Cancer Detection using Multiatlas Selection

Jagtap Vaibhavi N., Prof. Kale S.D.

[email protected]


ABSTRACT

Recently prostate cancer is the second reason of death in American people. Many American peoples

suffer from the prostate cancer. In the field of image segmentation, multi-atlas method is more commonly

used for medical image segmentation. Now a day the manifold ranking method is becoming popular.

Within the raw images, it is not an easy to achieve accurate selection of atlas results due to the complex

structure of prostate by only measuring the distance within raw images on the manifold. This paper tries

to reduce the effect of surrounding structure by proposing the manifold projection on raw images which

are constrained by label images. We propose a novel automatic segmentation method for prostate cancer

detection.

Super-pixel based automatic Retinal Area Detection For Diagnosing Retinal

Diseases.

Kadam Sarika S., Prof. Kale S. D.

[email protected]


ABSTRACT

In the computer-aided disease diagnosis the first important step is to distinguish the exact retinal area

from artifact’s and it is a more challenging task. Retinal diseases are serious and if not detected and

treated during the early stages itself then it results in the loss of eyesight. Hence we discover whether a

retina is healthy or not for the detection of retinal diseases. Scanning Laser Ophthalmoscope (SLO) is

used for capturing retinal image but in this imaging technique artifacts are also imaged with retinal area.

In this paper we focuses on automatically extract out true retinal area from an SLO and further we classify

the retinal diseases based on machine learning approaches using ANN classifier.

Identify text and product label from handheld objects with audio output for

blind person.

Kalbhor Komal M., Prof. Kale S.D.

[email protected]



ABSTRACT

For blind person new approach a identify text name and product labels and product packaging from hand-

held objects in their daily life. To seperate the object from cluttered backgrounds or other surrounding

objects in the camera view, first developed an efficient and effective motion based method to define a

region of interest (ROI) in the video basking the user to shake the object. The work consists of three

stages. First stage is image capturing -by using a camera, the text which the user want to read will get

captured as an image and have to transfer to the image processing platform. Second stage is text

recognition -by using pre-processing method and feature extraction method extract various feature of text

image and given to ANN for training and classification . Third is speech output - the filtered text will be

recorded to get an audio speech output. This work will be useful for blind persons in their daily life. The

all process is done with the help of MATLAB software.

Low Complexity HEVC Intra Coding

Kaniche Yogita R., Prof. Borate S.P.

[email protected]


ABSTRACT

INTRA video coding technique is essential for high-quality mobile video communication; it boosts video

quality and prevents error propagation. The new high-efficiency video coding standard has an advantage

of structure complex angular INTRA prediction and flexible quad-tree-based block to get better result of

the coding efficiency, however these technologies can increase the complexity of coding and it will

consume large computation time as well as power cost. It is the barrier for real-time video application. To

diminish the coding complexity and to save the power cost, we have proposed a fast INTRA coding unit

depth decision method based on correlation analyses and statistical modeling.

We observe the spatial coding unit depth correlation by way of the different textures and present

effective techniques to predict the most likely depth range which is based on the relationship among CUs.

Occasionally the spatial correspondence may fail for transitional areas and image boundary between

smooth areas and textural. We present a statistical model-based CU decision approach. In this adaptive

early termination thresholds are determined and afterward updated based on the quantization parameters

(QPs) and rate-distortion (RD) cost distribution. An extensive experiment shows that the proposed overall

algorithm can reduce the coding complexity up to 55.61%.

Smart vanet system with accident detection traffic alert system

Kate Komal S., Prof. Shaikh J.H.

[email protected]



ABSTRACT

New communication technological advancements incorporated into cutting edge vehicles offer an

opportunity for better help to people injured in traffic accidents. Recent studies show that how the

communication capabilities should be supported by Artificial Intelligence systems equipped for atomizing

large portions of the choices to be taken by emergency services, in this manner adapting the rescue

resources to the severity of the accident and reducing assistance time. To enhance the general rescue

process, a quick and exact estimation of the seriousness of the accident represent a key point to help the

emergency administrations to better estimate the required assets. Our framework considers the most

important factors that can describe the severity of accidents (factors, for example, the vehicle speed, the

type of vehicles involved, the impact speed, and the status of the airbag). Results demonstrate that an

entire Knowledge Discovery in Databases (KDD) process, with adequate selection of relevant features,

permits generating estimation models ready to anticipate the seriousness of new accidents. We build up a

prototype of our system based on off-the-shelfdevice. Oursystem can eminently decrease the time

expected to alert and deploy the emergencyservices after accident happens.

Content Based Image Retrieval By Using Hybrid Techniques

Phalke Tejashri N., Dr. Patil A.A.

[email protected]


ABSTRACT

An effectiveness of Content-Based Image Retrieval (CBIR) system is based on an efficient feature

extraction and accuracy of images retrieved from the database. Based on visual contents images are

retrieved in any CBIR system. This paper combines colour, texture & shape features to obtain better

retrieval efficiency. We have used Colour Descriptor (CN)for extracting colour features, while Gray

Level Co-occurrence Matrix(GLCM) has been used for extracting texture feature and shape is extracted

using geometrical features present in an image. Visually similar images from the huge database are

obtained using those feature vectors. It has been observed that each approach has its results which are

differing from individual approaches. Human decision decides which approach is suitable for the image to

search similar image from database.

Image Super-Resolution For Distance Aware

Mane Shital D., Dr. Patil A.A.

[email protected]



ABSTRACT

A technique for enlarging low resolution images into high resolution format so as to maintain perceptual

constancy has evolved. It models the relationship between a viewer and a display by considering two

main facts of visual perception. It considers scaling factor and blur radius of perception .An image is

enlarged by considering its blur level and viewer’s distance .There should be proportion between the

viewer’s distance and scaling factor towards display. The focal length of the viewer defines blur level.

Parallel Spectrum Sensing In Cognitive Radio Network

Nale Aniket K., Prof. Dhaigude N.B.

[email protected]


ABSTRACT

In this paper, we can consider the multiple group-based cognitive radio network, the secondary users

having heterogeneous sensing ability in terms of high accuracy for sensing it can be multiple channels are

used. We can use that cognitive radio network CSS scheme is used for SU while in a case of absent PU, it

allocates various group in SU for using different sensing round. The group-base CSS use in work group

we share channel in same cooperating users is in multiple rounds. In this work, we propose adaptively

assigning that the heterogeneous co-operating secondary users to different groups to maximise the

throughput efficiency while maintaining a predefined sensing accuracy. In Cognitive Radio Network is

detected by channel are use or not. In case it will be not detect then possible sometimes a lots of

constraints & challenge and may be a possible busy server. In heterogeneous group based channel shares

CSS scheme, the PU users get not possible to provide network then use SU smartly. It provides the

network to various group with the help of different sensing round. Adaptive Secondary User solves the

problem about Heterogeneous Group user and achieve that the maximise throughput efficiency & low

computational complexity significantly with the help of non-adaptive assignment and sequential CSS

scheme.

Detection and Classification of Indian Traffic Sign

Nikam Priyanka A., Prof. Dhaigude N.B.

[email protected]


ABSTRACT


traffic sign recognition plays an important role in driver assistant systems and intelligent autonomous

vehicles. In today’s world, as road conditions are improved due to which the speed of a vehicle is also

increased, there might be a chance of neglecting road sign (prohibitory, mandatory, danger, informatory).

The proposed system helps driver about detecting road sign which automatically increases driving safety

and comfort. This paper proposes a novel system for traffic sign detection and classification. Detection

module segments input colour image into YCbCr colour space. And further classification is done by using

PCA (Principal Component Analysis).

Non-invasive Blood Glucose Level Prediction Using Near-Infrared

Spectroscopy

Ranaware Sagar B., Dr. (Mrs.) Doshi N.A.

[email protected]


ABSTRACT

This paper describes review on Non-invasive method of blood glucose level predictions using Near-

Infrared sensor. This research work provides three major contributions to the society. First, it provides

unique solution for diabetic patient to monitor blood glucose level without pricking the blood. Second, it

describes NIR spectroscopy technique to reduce healthcare cost and accurate results. Third, it gives

different research approach towards non-invasive blood glucose measurement and monitoring.

IMAGE PROCESSING BASED GRAIN SORTING SYSTEM USING

RASPBERRY-PI

Garud Supriya D., Prof. Shaikh J.H.

[email protected]


ABSTRACT

In India, agriculture production is important for income of people because more than 50% population

depend on agriculture field. When peoples are export or buying their production then grains value depend

on its quality. If quality is increases, automatically value is increases. Quality control is very important in

agriculture production because after harvesting, based on quality parameters grains product are classified

and graded into different grades. .Grain quality evaluation by human eye is not accurate and time

consuming, may be varying results and costly. To overcome these limitations, we implement this paper

using image processing technique with embedded solution for grain quality wise sorting system. An

automated system is introduced which is used for analysis of rice quality and grade (i.e. grade A, grade B,


and grade C) using Probabilistic Distribution. The testing parameter of rice is size, shape and physical

defects etc.

Design of MIMO Antenna for UWB Band application

Mandar Rajendra Jadhav, Vivek Kamble

[email protected]

TRINITY COE & RESEARCH,PUNE [065]

ABSTRACT

In this paper compact antennas have been designed in a Multiple-Input Multiple-Output (MIMO) system.

The antennas are rectangular shape microstrip patch antennas and fed by a microstrip line designed for a

frequency band of 3.1 GHz to 10.6 GHz used for WLAN and Wi-Max band applications. The antennas

are designed on High Frequency Structure Simulator software with return loss less than -10dB. The

MIMO system is designed for centre frequency 6.8GHz antennas which yields better result in terms of

return loss (S11 and S22) and mutual coupling (S12 and S21).

Speech recognition using HTK toolkit for English Language

Supriya Sanjay Chavan, Prof.S.M.Handore

[email protected]


ABSTRACT

Abstract: This project is based on SR system. In the speech recognition, process computer takes a voice

signal, which is recorded using a microphone and converted into words in real-time. This SR system has

been developed using different feature extraction techniques, which include MFCC, HMM.ASR i.e.

speech recognition is program or called it as machine, and it has ability to recognize the voice signal

(speech signal or voice commands) or take dictation, which involves the ability to match a voice pattern

opposite to a given vocabulary. HTK i.e. The Hidden Markov model Toolkit is used to develop the SR

System. HMM consist of the Acoustic word model, which is used to recognize the isolated word. In this

project, we collect English database, with a vocabulary size a bit extended. HMM has been implemented

using the HTK Toolkit.


Bit Error Rate evaluation for CPM MIMO System over Rayleigh Fading

channel using Matlab

Reshma Ram Wattamwar, Prof. Vaibhav Hendre

[email protected]


ABSTRACT

Multiple Input Multiple Output (MIMO) systems are integral part of current wireless network. These

MIMO systems uses more than one antenna at transmitter side and receiver side also, so transmission

reliability of the system is improved. These systems increases channel capacity and provides diversity

gain without additional transmit power. MIMO system enhances capacity and reliability of system. In this

proposed system we use CPM modulation for signal transmission. CPM gives constant envelope and

phase continuity. Its constant envelope makes it more suitable for low cost nonlinear instead of linear

modulation, such as PSK. In this paper, we evaluated bit error rate based on Maximal Ratio Combining

(MRC). The Bit Error Rate (BER) analysis is performed for both SISO system and MIMO system

theoretically and empirically. For SISO system we obtained the BER for different modulation order by

using PAM modulation technique.. As the modulation order increases the BER performance also

increases. For MIMO system we used CPM modulation technique. We obtained the BER for 2x2, 4x4

transmitting and receiving antennas. As we increases the number of transmitting and receiving antennas

BER performance increases.

MME based signal detection for spectrum sensing in TV band and

transmission of TVWS information

Thingbaijam Geetpriya, Madhukar Mohanrao Deshmukh

[email protected]


ABSTRACT

The use of wireless communication has been increasing recently as a part of the development, and thus

making it the most popular communication. So, new wireless services when launch, spectrum scarcity

problems are being encountered. To overcome this problem Cognitive Radio (CR) can be better solution.

Spectrum sensing is the main function of the CR to find the unused spectrum in licensed band. In this

paper, spectrum sensing based on Eigen-value and covariance matrix is implemented. The algorithm

Maximum-Minimum Eigen value (MME) detection is used to detect the primary signal existence. This

method can be used without the prior knowledge of signal, the channel and noise power. And after

detection algorithm, the secondary user (SU) can use the unused spectrum, if available to transmit

information.


Traffic Control Using Cognitive Video Transmission on TVWS: A Case Study

Kiranrani Thokchom, Madhukar Mohanrao Deshmukh

[email protected]


ABSTRACT

As the number of vehicles is increasing day by day, traffic congestion becomes a serious issue nowadays.

In order to overcome the congestion problem we need to develop an intelligent traffic control system that

is based on the measurement of the traffic density and video transmission and image processing for real

time traffic density analysis. Reducing traffic congestion will help reducing in consumption of fuels,

waiting time and lower the number of accidents. Video is transmitted using GMSK modulation on SDR.

Here, frame difference method of object detection is used to detect vehicles on the road. Traffic density is

calculated based on the pixels belongs to vehicles on the road in terms of total amount of pixels in a video

frame .In this paper, the focus is on MME detection, and image processing of the received video of traffic

thereby controlling the traffic dynamically and adaptively. To evaluate the performance, the MATLAB

simulation is carried out.

Traffic Control Using Cognitive Video Transmission on TVWS: A Case Study

Kiranrani Thokchom, Madhukar Mohanrao Deshmukh

[email protected]


ABSTRACT

As the number of vehicles is increasing day by day, traffic congestion becomes a serious issue nowadays.

In order to overcome the congestion problem we need to develop an intelligent traffic control system that

is based on the measurement of the traffic density and video transmission and image processing for real

time traffic density analysis. Reducing traffic congestion will help reducing in consumption of fuels,

waiting time and lower the number of accidents. Video is transmitted using GMSK modulation on SDR.

Here, frame difference method of object detection is used to detect vehicles on the road. Traffic density is

calculated based on the pixels belongs to vehicles on the road in terms of total amount of pixels in a video

frame .In this paper, the focus is on image processing of the received video of traffic thereby controlling

the traffic dynamically and adaptively. To evaluate the performance, the MATLAB simulation is carried

out.

Design of MIMO Antenna for UWB Band application


Mandar Rajendra Jadhav, Prof. Vivek D. Kamble

[email protected]


ABSTRACT

In this design 2x2 antennas have designed in a Multiple-Input Multiple-Output (MIMO) system. The

antennas is rectangular shape patch antenna and fed technique is microstrip line designed for a frequency

band of 3.1 GHz to 10.6 GHz used for WLAN and Wi-Max band applications. The antennas is simulated

by using High Frequency Structure Simulator software with return loss less than -10dB. 2x2 MIMO

antenna is designed at center frequency 6.8GHz antennas with better result of

Retinal blood vessel and optic disc segmentation for classification of retina

diseases

Pradnya Yuvaraj Patil, Prof. S. M. Handore

[email protected]


ABSTRACT

Blood vessels in the retina serves to supply blood and oxygen to the blood vessel of the retina. If the

blood and oxygen supplies are not smooth, then this may be a reference to detect whether there are health

problems (hypertension, cardiovascular, stroke or diabetes). Different changes in retinal blood vessel

features like shape, colour and tortuosity are precursors of serious diseases such as diabetic retinopathy,

hypertension, glaucoma, hemorrhages, vein occlusion, and neovascularization etc. Therefore, morphology

of retinal vascular features and optic disk can assist in detecting these changes and allow the patient to

take action while the disease is still in its early stages. For evaluating and imaging patients with retinal

diseases, clinical photographers usually capture color images of the retina using a specialized fundus

camera. Among different retinal analysis tasks, retinal blood vessel extraction plays an extremely

important role as it is the first essential step before any measurement can be made. Detection of optic disc

area is complex because it is in an area that is considered as pathological blood vessels when in

segmentation and thus require a method to detect the area of the optic disc, the proposed method is very

simple, K - means clustering method used to detect the optic disc area with perfected using adaptive

morphology. This also uses a gray level based features method for segmenting the blood vessels from the

optic disk.

Retrieving of High Resolution Image by using Fusion of Local and Global

Features


Ashwini Mahadev Bhujbal, Prof. S. M. Handore

[email protected]


ABSTRACT

Abstract -

The project proposes the image retrieval technique based on GLCM (Gray level co-occurrence matrix)

and LBP (Local binary pattern) features. The main target of CBIR (Content-based Image Retrieval) is to

get accurate results with lower computational time. The need for efficient content-based image retrieval

has increased tremendously in many application areas such as biomedicine, military, commerce,

education, and web image classification and searching. CBIR technology overcomes the defects of

traditional text-based image retrieval technology, such as heavy workload and strong subjectivity LBP is

an effective method for texture analysis, being appreciated for accuracy and computing power.

The LBP operator is invariant to illumination and contrast changes in the image. Intensity Histogram is a

simple method used to compare images with the advantage of being insensitive to small changes of

camera position. It makes full use of image content features (color, texture, shape, etc.), which are

analyzed and extracted automatically by computer to achieve the effective retrieval Using a single feature

for image retrieval cannot be a good solution for the accuracy and efficiency. Using Euclidean distance,

similarity between queried image and the candidate images are calculated. Future work will be made to

add more features that are famous in CBIR which are texture, color, and shape features in order to get

better results.

Introduction -

For content based image retrieving , the features of images like color, texture and shape of image is

retrieved by using LBP and wavelet transform. LBP involve color, texture and shape. GLCM and wavelet

is useful since it can contain three major elements, texture information, histogram information and edge

information.

Block Diagram-

Objectives-

1. Converting query image (RGB) to HSV plane and calculating LBP Features

2. Converting query image (RGB) to Gray scale image and applying wavelet and GLCM on image

for calculation of major element, texture information and histogram information.

3. Combination of LBP, Wavelet and GLCM features.

4. Similarity measurement between database image features and combined features of query image

by using Euclidean distance for retrieving of image.

Image Transmission Using Feature Extraction Technique

Ruchi Rajendra Gaikwad, Prof. S. M. Handore

[email protected]



ABSTRACT

Abstract -

The project proposes the image feature extraction technique based on GLCM (Gray level co-occurrence

matrix) features and wavelet transform. Statistical texture features is obtained by formulation of Gray

level co-occurrence matrix. Statistical method of examining texture that considers the spatial relationship

of pixels is the gray-level co-occurrence matrix (GLCM), known as the gray-level spatial dependence

matrix. The texture of an image is characterized by GLCM functions by calculating how often pairs of

pixel with specific values and in a specified spatial relationship occur in an image, thus creating a GLCM,

and then statistical measures from this matrix are extracted . GLCM can be used to extract number of

texture features. Texture features are computed from the statistical distribution of observed combinations

of intensities at specified positions relative to each other in the image in statistical analysis. Statistics are

further divided into first-order, second order and higher-order statistics based on the number of intensity

points (pixels) in each combination.

In Discrete Wavelet Transform, signal energy concentrates to specific wavelet coefficients. A 2D DWT

can be seen as a 1D wavelet method in which transformation takes place along the rows and then a 1D

wavelet transformation is performed along the columns. The 2D DWT inserts array transposition between

the two 1D DWT. First rows of the array are processed with only one level of decomposition. The array is

separated into two vertical halves, in which the first half contains the average coefficients and the second

vertical half contains the detail coefficients. This process is again carried out with the columns and this

eventually results in four sub-bands within the array which are defined by the filter output.

Introduction -

For transmission of image features , GLCM and wavelet is useful since it can contain three major

elements, texture information, histogram information and edge information.

Block Diagram-

Objectives-

1. Converting input image (RGB) to B plane image.

2. Obtaining wavelet transformation of input image.

3. Feature extraction using GLCM technique.

4. Entering the key for security purpose

Performance Analysis of MIMO Systems with Antenna Selection over

Generalized Îº âˆ’ Î¼ Fading Channels

Itnare Minal Narhari, Prof. Hendre Vaibhav

[email protected]



ABSTRACT

Abstractâ€” Multiple-input and multiple-output, or "MIMO" referred to the use of multiple antennas at

the transmitter and the receiver for simultaneous sending and receiving more than one data signal over

the same radio channel by exploiting multipath propagation and beamforming. Transmit Antenna

Selection (TAS) is most important part of future wireless systems to reduce the complexity of multiple

antenna techniques and to satisfy the need of higher data rates. In this paper, the performance of MIMO

scheme is analyzed under k-Âµ fading channel and also Nakagami-m fading channels using Maximum

Ratio Combining (MRC) and or selection combining (SC) at receiver. The analysis of these combining

methods is done on the basis of two major factors, Signal to Noise Ratio (SNR), Bit Error Rate (BER) and

Ergodic capacity performance using 4-QAM and BPSK modulation techniques. MIMO indeed takes

advantage of random fading, and possibly delay spread, to multiply transfer rates.

Microstrip fed broadband circularly polarized monopole antenna

Gauri Kailas Kirve, P. K. Kadbe

[email protected]

VIDYA PRATISHTHAN’S COLLEGE OF ENGINEEERING, BARAMATI [035]

ABSTRACT

A microstrip-fed broadband circularly polarized (CP) monopole antenna studied. Impedance bandwidth

and large axial ratio bandwidth (AR-BW) obtained at a time. This antenna used a monopole architecture,

except for it ground plane and asymmetric feeding.The asymmetric-feeding used to provide an orthogonal

component different from its linearly polarized wave. Also, by adding a rectangular slit and a stub on the

ground plane of antenna produce CP wave and to obtain an impedance bandwidth. As per the measured

results, the impedance bandwidth was 6.72 GHz with a return loss of a 10 dB, which covered a range of

2.07-8.79 GHz. The AR-BW was 1 GHz for a 3 dB AR, which covered a range of 4.5-5.5 GHz.The

measured return loss which consists of wide impedance bandwidth of 2.23 GHz to 8.42 GHz.

Design of a Coplanar Integrated Microstrip Antenna for ITS Applications

Divya Ajitrao Jagtap, Vikas U. Deshmukh

[email protected]


ABSTRACT

This paper presents a novel low-profile coplanar microstrip antenna for intelligent transportation system

applications (ITS). Technology has made its way into Intelligent Transportation Systems (ITS) as the

Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) paradigms.The geometry consists of


Square-ring patch antenna and a center-fed square-ring loaded patch antenna. A coplanar simple coaxial-

fed method used in the directional coupled square-ring patch antenna; the square-ring used to load the

center-fed square patch antenna with a vertical linear polarization used for ITS application.

Compact Slot Antenna for Dual-band WLAN Application

Nilima Limbajirao Asabe, Mr.Vikas U. Deshmukh

[email protected]


ABSTRACT

The design of a simple two patch slotted antenna with an offset microstrip feed line is presented as a

candidate for use in 2.4/5.2 GHz wireless local area network, WLAN applications. The first patch has

been designed as a rectangular shape and the other has been designed as an inverted L shape with a

protruding stub. The proposed antenna has been supposed to be printed on an FR4 substrate with a

thickness of 0.8 mm and relative permittivity of 4.6. The resulting antenna has been found to have a

compact size of 25.75x22 mm2. This dual-band resonant behavior makes the proposed antenna covering

many communication services such as ISM, RFID, WLAN and WiFi applications. Modeling and

performance evaluation of the proposed antenna have been carried out using a method of finite integration

technique (FIT) based EM simulator, the CST MICROWAVE STUDIO.

Design of Integrated GSM, Bluetooth UWB Printed Monopole Antenna

Malshikare Barish Balaso, M. M. Jadhav

[email protected]


ABSTRACT

A compact ultra-wideband (UWB) printed monopole antenna with two other bands is presented. The

small size antenna of an Elliptical shaped patch with modified ground plane is designed for covering the

UWB band (3.1-10.6 GHz). To obtain the relatively lower frequency bands, resonating strips called

CLLR (Capacitive Laded Line Resonators) of different lengths for different frequency are embedded on a

ground plane. The proposed antenna is simulated using Computer Simulation Technology (CST) studio

suite. The proposed antenna is fabricated on the FR-4 dielectric substrate. The antenna covers the three

bands of operation i.e. GSM (1.8GHz), Bluetooth (2.4 GHz) and UWB with reflection coefficient < -

10dB. Simulated results are presented, which shows that the antenna has a stable radiation pattern both at

the double and the whole of the UWB bands. The size of the proposed antenna is 30x31 mm. A good

agreement is achieved between simulated and measured results.


Design of Acoustic Recorder System For Measuring Underwater Signals

Mohite Yuvraj Chandrakant, Mr. Parashuram Arotale

[email protected]


ABSTRACT

As industrial actions continue to grow on the beach, underwater sound measurements are becoming of

abundant scientific importance as they are vital to evaluate the impact of these activities on local

ecologies. In this paper, the use of commercial underwater recorder systems is not always the most

feasible substitute, due to their high cost and lack of elasticity. Design and construction of more

affordable substitutes from scratch can become complex because it requires profound knowledge in areas

such as electronics and low-level programming. With the aim of providing a solution, low-cost alternative

to commercial recorder systems is proposed to build. A properly working prototype will be assembled

and it will be demonstrating adequate performance levels. The underwater recording system can be

successfully deploying at selected locations along the beach, where it adequately recorded animal and

manmade acoustic events, among others

Design of a Coplanar Integrated Microstrip Antenna for ITS Applications

Divya Ajitrao Jagtap, Prof.V.U.Deshmukh

[email protected]


ABSTRACT

This paper presents a novel low-profile co-planar microstrip antenna for intelligent transportation system

applications (ITS). Technology has made its way into Intelligent Transportation Systems (ITS) as the

Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) paradigms.The geometry consists of

Square-ring patch antenna and a center-fed square-ring loaded patch antenna. A co-planar simple coaxial-

fed method used in the directional coupled square-ring patch antenna; the square-ring used to load the

center-fed square patch antenna with a vertical linear polarization used for ITS application.

Comparison of Wiener and Kalman Filters for Filtering of Dolphin Signals

Karishma Sopanrao Atole, Dr. Rajveer K. Shastri

[email protected]



ABSTRACT

Filtering of signals is highly required in the field of marine acoustics to retain the necessary acoustic

signatures for further analysis. This paper describes applications of Wiener and Kalman filtering for

ambient noise cancellation maintaining dolphin clicks of Irrawaddy fresh water Dolphins. Like any other

deterministic filters, Wiener filter based on the statistical approach of Least Mean Square Error (LMSE)

technique for stationary linear signal and noise. Kalman filter uses time series analysis using Linear

Quadratic Estimation (LQE) algorithm. Comparison of Wiener and Kalman filtering is presented using

the signal to noise ratio (SNR).

Design and analysis of small UWB antenna with band notch characteristics

Pallavi Banshilal Pawar, S.B.Lands,P.K.Kadbe

[email protected]


ABSTRACT

Small, printed rectangular slot antenna for ultra-wideband (UWB) applications is proposed in this article.

In this proposed antenna, inverted T-shaped conductor backed plane used to achieve the UWB coverage

by increasing the impedance bandwidth of the rectangular slot antenna. Then frequency band notched

performance can be achieved by using rotated C-shaped conductor backed plane around the inverted T-

shaped conductor backed plane. Then band width can be controlled by etching inverted T-shape in the

square radiating patch on the top layer. The proposed antenna has a very small size which is 21 mm x

26.8 mm. The antenna has VSWR < 2 for the UWB from 3.0811 to 10.737 GHz except for the band notch

from 5.1429 to 5.9523 GHz for this VSWR > 5.

Evaluation of Daubechies Wavelet For Denoising of Dolphin Clicks

Wable Komal Balaso, Dr. Rajveer Shastri

[email protected]


ABSTRACT

The aim of the paper is to remove of noise from the sound data recorded at Chilika lake to separate

Dolphin clicks. The dynamic underwater channel fluctuations of the shallow tropical waters make the

design of filters extremely complicated for any SNR (Signal to Noise Ratio) enhancement initiative.

Tropical shallow waters typically present poor SNR for any underwater system. It is unable to track the


changes of signal and noise using the fixed coefficient filter in such applications. DWT (Discrete Wavelet

Transform) is evaluated on ambient noise data recorded at Chilka lake and results of denoising are

calculated by comparing the performance parameters such as SNR and MSE (Mean Square Error).

Beam Formation for Noise Reduction in Acoustic Application

Kashid Pranali Balkrishna, B.H.Patil

[email protected]


ABSTRACT

It is always important to a noise free communication during the conferences and meetings. Sound Source

Localization and the audio beam formation are the acoustic signal processing techniques implemented for

this purpose. Both these methods deal with the microphone array signal processing to reduce the impact

of noise on the output of receivers and to deliver a clean signal. Audio beam formation along with the

appropriate geometry of microphones in the array combines the incoming signal into a noise free beam of

a signal. The beam formation changes the response pattern of the array so that it provides maximum gain

only in one angular direction which is previously calculated by the sound source localizing part. Thus the

combination of these two techniques can be used to capture the maximum from the speaker and ignoring

the noise in the conference rooms. All this work will be done by using microphone array and MATLAB.


Microwave Communication


image enhancement using dual tree complex wavelet transform based image

fusion method

Yadav Alokranjan Sohan, Prof. S.P. Bhosale

[email protected]

A.I.S.S.M.S' COE, PUNE [21]

ABSTRACT

The image fusion technique in image processing is

one of the important applications where many slightly changed

input images are combined and fused image is an improved form

of the applied input images which has improved visual quality

and contains more information content. Wavelet based fusion

technique have been reasonably effective technique in combining

the perceptual important image features. Shift invariance

property of the wavelet transform is important in ensuring the

robust band fusion. The image fusion mechanism for improving

the image quality of medical images using dual tree complex

wavelet transform and NLM filter has been presented.

Index Termsâ€”Image Fusion, Dual tree complex wavelet

transform, shift invariance, multiresolution analysis.

DSRC-Based Vehicle Tracking With Relative Positioning Using Kalman

Filter

Kulkarni Prachi Sunil, Dr.Ms.R.P.Labade

[email protected]


ABSTRACT

Kalman sifting was extremely well known in the examination field of route and avionics as a result of its

radiant exact estimation trademark. From that point forward, electrical designers control its focal points to

helpful reason in target following frameworks. Situating and following a vehicle turns out to be

increasingly vital to empower inescapable and setting mindful administration. The broad research has

been performed in physical confinement and legitimate restriction for satellite, GSM and Wi-Fi

correspondence systems where settled reference focuses are thickly conveyed, the situating and following

methods in a thick system have not been all around tended to. That GPS, IMU, and LIDAR information

can beused to produce a high-determination infrared settlement ground delineate can be along these lines

utilized for confinement This venture builds up a technique for vehicular situating. The fundamental

kinematics factors refreshed in each progression are the introduction and relative position of the vehicle.


A discrete stretched out Kalman channel is utilized to foresee and refresh the conditions of the vehicle

and their instabilities. A few techniques are talked about to refine the area estimation in which the vehicle

utilizes a direct corresponding route law to track the objective. Reproduction of the movement kinematics

of vehicle and the position is performed utilizing MATLAB. It is indicated utilizing numerous

reproduction situations that the vehicle can track and achieve the moving objective effectively.

Peak-To-Average Power Ratio and Bit Error Reduction In OFDM System

Hase Jyoti Gorakhanath, Prof.S.R.Gagare

[email protected]


ABSTRACT

Orthogonal frequency division multiplexing (OFDM) is a promising modulation radio access scheme for

next generation wireless communication systems because of its inherent immunity to multipath

interference due to a low symbol rate, the use of a cyclic prefix, and its affinity to different transmission

bandwidth arrangements. OFDM has already been adopted as a radio access scheme for several of the

latest cellular system specifications such as the long-term evolution (LTE) system in the 3GPP (3rd

Generation Partnership Project). Nevertheless, peak-to-average power ratio (PAPR) of OFDM signal is a

significant drawback since it restricts the efficiency of the transmitter. A number of promising approaches

have been proposed & implemented to reduce PAPR with the expense of increase transmit signal power,

bit error rate (BER) & computational complexity and data rate loss, etc. In this paper, a relatively better

scheme of amplitude clipping & filtering operation (ACF) is proposed and implemented which shows the

significant improvement in case of PAPR reduction while increasing slight BER compare to an present

method.

GSM Operated Wireless Sensor Based Mine Security and Safety Approach

Borhade Ganesh Lahanu, Prof.M.B.Kadu

[email protected]


ABSTRACT

As of late, the incessant coal mine security mischances have brought on genuine obstructions and huge

monetary misfortunes. It has given high essentials to avoid the underground complications within the

mines with better improved in the mine security aspects. In this paper, GSM operated Wireless Sensor

(WS) based mine security and safety methodology is presented. Different conditions within the mine have

been considered including mine temperature, humidity, Oxygen monitoring, smoke and CO2 levels and

so on with control actions. All these conditions are monitored and controlled with the use of WS grids.


Remote hubs are allotted for every sensor so that wireless data transmission alongside telemetry

applications has been carried out.

Vehicle Accident Spotting and Monitoring by Utilizing MEMS Accelerometer

and GPS Tracing

Aher Snehal Arvind, Prof.S.R.Gagare

[email protected]


ABSTRACT

Traffic congestion and tidal flow management were recognized as major problems in modern urban areas,

which have caused much uncomfortable for the ambulance. Moreover road accidents in the city have been

nonstop and to bar the loss of life due to the accidents is even more crucial. The main theme behind this

scheme is to provide a smooth flow for the ambulance to reach the hospitals in time and thus minifying

the expiration. The idea behind this scheme is to implement a ITS which would control mechanically the

traffic lights in the path of the ambulance. The ambulance is controlled by the central unit which furnishes

the most scant route to the ambulance and also controls the traffic light according to the ambulance

location and thus reaching the hospital safely. The server also determines the location of the accident spot

through the sensor systems in the vehicle which encountered the accident and thus the server walks

through the ambulance to the spot. This scheme is fully automated, thus it finds the accident spot, controls

the traffic lights, helping to reach the hospital in time.

Design of Multi Band Rectangular Printed Antenna for GSM, Bluetooth, Wi-

Max and WLAN Applications

Mokal Varsharani H, Prof.S.R.Gagare

[email protected]


ABSTRACT

A multiband rectangular printed antenna fed by coaxial feeding technique is proposed. This design of

antenna is realized by cutting two rectangular shaped slots at appropriate positions at corners of the patch

and also by using optimization of width of the patch, length of the patch and finding the proper position

of coaxial feed point, for getting multiband behavior of antenna. The Proposed antenna is designed using

FR-4 dielectric substrate which has a dielectric constant of 4.4 and loss tangent of 0.02 with dimensions

of 46x38x1.64mm3.The proposed antenna calculations are done for the frequency 2.4GHz.The proposed

antenna simulated and studied using EM simulation software CAD FEKO suite (7.0).This antenna covers


four bands of operation which includes GSM (1.827 -1.845 GHz ),Bluetooth (2.405-2.469GHz) ,Wi-Max

(3.484-3.541GHz) and WLAN (5.1362 to5.3079GHz) with Return lossâ‰¤ -10 dB.The overall

simulation results shows that the antenna gives good impedance matching at desired frequencies with

VSWR

Design of Encrypted SDR and Analysis of Noise in High Level System

Architecture using MATLAB

Shrikant J. Upase, Dr.R.P.Labade

[email protected]


ABSTRACT

Software defined radio (SDR) allows the unparalleled levels of flexibility by transitioning the radio

communication system from hardware platform to a more user-friendly software model. The aim of this

project is to design and implement a software defined radio based wireless communication system using

MATLAB. Software defined radio is a feasible solution for reconfigurable radios, which can carry out

distinctive functions at different times on the same hardware. The baseband area of a remote

communication system is first simulated and then implemented in program. The implementation of the

baseband transmitter is analyzed utilizing constellation and eye diagrams for different modulation

techniques and different signal-to noise ratios, while considering an additive white Guassian noise

channel. The execution of the receiver is analyzed by comparing the input and yield waveforms. The

performance of the system in real time is also analyzed by implementing the system in MATLAB. The

simulation results with the results obtained from adding Gaussian Noise in the channel of the system in

the form of system error rate are calculated. It is expected that the simulation results of the system error

rate will be minimum in High Level system architecture. Apart from this the parameters like encoder and

decoder will make an optimum solution with minimum noise in transmission for software define radio.

To avoid the noise, we have to adjust various parameter like frequency, width, delay, bandwidth etc.

accordingly we will compare the result with existing system and proposed system with encoder. We

expect the minimum noise level as compared to normal.

DESIGN AND ANALYSIS OF OPEN LOOP MIMO COMMUNICATON

FOR TEMPORARY CORRELATED CHANNELS USING MATLAB

Swati Vaidya, Prof.M.B.Kadu

[email protected]


ABSTRACT


MIMO has been discovering its way into quickly developing markets, for example, proficient

communicate video, law authorization, and government segments because of more current eras of littler,

better performing radio arrangements and reception apparatus plans that bolster MIMO innovation. With

the transmission capacity prerequisites that today's video, sound, and information frameworks request,

MIMO is frequently a perfect answer for correspondence particularly urban conditions where clear line-of

- site is harder to accomplish and the plenitude RF/microwave frameworks that can posture impedance

issues. It gives a multi-layer transmission of correspondence signs.

Presently codebooks are gotten by this technique and their execution is appeared to outflank past

condition of-workmanship arrangements. Truth be told, for some specific arrangements, these new star

groupings achieve the Rankin bound and are hence provably ideal. The proposal additionally contains

new hypothetical outcomes on the limit (common data) of numerous radio wire remote connections in the

low SNR administration. The effect of channel and clamor relationship on the common data is acquired

for the on and Gaussian flagging. The primary conclusion is that common data is boosted when both the

transmit and get recieving wires are completely corresponded. The examination of correspondence in

various information diverse yield (MIMO) for open circle transmission remote systems .The sensible and

testing non-clear setup (channel state information is truant at the beneficiary) is considered. A summed up

likelihood extent test (GLRT)- like discoverer is normal at the gatherer and contrary to most existing

procedures, a subjective relationship structure is considered the additional substance Gaussian

discernment hullabaloo. A theoretical examination of the probability of error is surmised, for both the

high and low banner to-bustle extent (SNR). The purpose of this wander is to focus the understandable

and non sensible area methodology, MIMO, some non clarity disclosure technique as grassmannian signs,

STBC, Temporal association et cetera by think the various procedures like discoverer at authority side

and a self-emphatic relationship structure is for evaluating included substance Gaussian clatter,

probability of mix up for both anomalous state SNR, low level SNR. Moreover we evaluate how to

register and survey parameters, for instance, SNR, FER, FRR, JITTER, DELAY, association amongst

channels etc.

Design of Multiband Antenna for Wireless Communication Applications

Yogesh Nawale, Dr.R.P.Labade

[email protected]


ABSTRACT

Design and investigation of Micrrotrip antenna for multiband operation has been suggested. Designed

multiband monopole antenna working over GSM 800 MHz, Digital Communication System (DCS) 1800

MHz, 3G-2100 MHz and 4G-2300 MHz band applications has been represented. Designed antenna has

size of 121mm x 111 mm and has been simulated over the CADFEKO EM Simulation tool. Proposed

antenna has been simulated against frequency range of 0.5 GHz to 2.5 GHz operating region. Simulated

antenna shows


Energy Harvesting in cognitive radio network for secure communication

Manoj G. Aher, Dr. S. K. Moon

[email protected]

P.I.C.T. PUNE 43 [5]

ABSTRACT

In this paper, we propose multiuser communication system for cognitive radio network. In this network,

secondary users are capable to collect energy from radio frequencies when they are inactive. In proposed

multiuser communication system design, we focus on system objective such as maximization of

efficiency in energy harvesting. Numerical results demonstrate excellent performance of the proposed

multiuser communication design system in terms of total harvested power.

Index Terms : Cognitive radio (CR), Energy Harvesting(EH)

Design of circular shaped fractal antenna for cellular communication

Rutuja Chopade, D.M.Shinde

[email protected]


ABSTRACT

Fractal structures are used by the antenna designers so as to obtain the compactness with better efficiency.

In this paper, fractal antenna is designed based on Sierpinski model. The number of iterations carried out

are three. With the increase in iterations the performance parameters obtained were enhanced. The

antenna has been developed to target the application as of mobile phones. For designing antenna, FR4

substrate is used which have dielectric constant of value 4.4. The position of coaxial feed is optimized to

get proper impedance which is nearly about 50 ohm. The designed fractal antenna is low profile, compact

in size and it can be used in cellular communication.

Study and modeling behaviour of smart material

Sweta Anil Javalekar, Dr. M.V. Munot

[email protected]


ABSTRACT


Shape Memory Alloys (SMA) are serving seamlessly to various domains of science and engineering since

1965. Few of the most popular applications are as actuators in robotics, adaptive nozzle of aircraft in

aerospace and stents, braces, etc in biomedical. In all of these applications, the type of excitation and

excitation duration plays a very crucial role, in proper expected functioning of the material and system.

As the material is excited, temperature profile of the material changes and behavior of the material is

highly temperature dependent. Hence, the thermal behavior of the Nickel-Titanium (NiTi) shape memory

alloy wire is mathematically modeled in Matlab and its response to various excitations such as triangular,

square and sine wave is observed. Due to variations in responses to different excitations, the results of this

model can be used to decide the type of excitation, to obtain a desired response according to the

application.

Design of circularly polarized slot patch antenna for c-band applications

Jyoti Singhal, M. P Turuk

[email protected]


ABSTRACT

The construction of the Circularly Polarized (CP) antenna becoming more and more popular. This paper

describes design and simulation aspects of circularly polarized slot patch antenna with micro-strip feed-

line for C-band applications. C-band have frequency ranges (4-8) GHz that are used for many satellite

communications transmissions, some Wi-Fi devices, and cordless telephone. The 3dB axial ratio (AR)

can be produced by introducing a rectangular stub from the ground plane towards the square shaped slot.

Results from simulation are observed by An-soft HFSS version13 software in terms of Return loss,

VSWR, Axial ratio and radiation patterns. Simulated results show that the antenna attains an S11

Energy efficient Power allocation in Cognitive Radio Network

Diksha R. Lad, P. S. Varade

[email protected]


ABSTRACT

Due to vigorous increasing demands of high-data rate cause large energy consumption in wireless

network. But due to limited energy resource there is problem to fulfill the demands of high data rate.

Therefore it is necessary to do energy effective communications. The raising generation demands

regarding wireless services have made insufficient radio-frequency spectrum more cramped. To solve this

problem, cognitive radio becomes a bright solution to do effective utilization of radio frequency spectrum


because it has capability to sense surrounding environment and change transmission parameters

accordingly.

Main objective of this paper is to study and implement energy effective power allocation strategies in

cognitive radio networks under quality of service requirements. In this paper, first introduction of co-

operative spectrum sharing network and framework is given. Then greedy algorithm for joint power

allocation and relay selection problem is proposed.

Implementation of Energy Efficient Multiple antenna System and Its

Performance Evaluation

Payal A. Mangale, Dr. Y. Ravinder

[email protected]


ABSTRACT

Multiple-Input-Multiple-Output Antenna (MIMO) systems have attracted more exploration since it has

the capability to improve System performance in terms of higher data rates and lower Bit-error-rates. It

also consists of more Transmitting and receiving antennas with a large number of RF chains for signal

processing consuming more power. In this context, with reference to the Implemented 2x2 MIMO system

using LABVIEW and USRP, we analyze the overall energy consumption required to transmit a bit over

transmission distance. The overall energy consumed by the system is a function of two parameters such as

transmission energy consumption and circuit energy consumption. Thus, we have shown that energy

consumption for QAM system is minimized by reducing the transmission time at maximum system

bandwidth. The Performance of the system in terms of probability of error bound, energy efficiency, the

spectral efficiency with reference to the conventional system has been observed using MATLAB.

Robust watermarking Technique for content protection in Video data

Mohd Ziviquar Rehman, M.A.Gangarde

[email protected]


ABSTRACT

In recent years, popularity has been much grown among the multimedia based application and there is a

need to protect the video data against the copyright. Video watermarking techniques plays vital role in the

protection and the security of multimedia which is prone to different noise and various attacks. Various

watermarking schemes are developed to ensure the security of the data in spatial as well as transform

domain. A watermarking scheme based on spatial domain is introduced. The method includes the use

location of the pixels of watermark relating to the video information in order to improve the robustness of


video data. The proposed scheme is highly imperceptible and the performance is tested under different

attacks.

Noninvasive technique for evaluation of fruit using microwave technique

Vishal Ganesh Padwal, Dr. S. V. Gaikwad

[email protected]


ABSTRACT

Fruits are the most important part of human’s diet. Quality testing of the fruit is also critical task in

commercial market. It is more preferred to check quality of the fruit by non-invasive method using

microwave technique. In this paper, quality checking of the fruit is considered in terms of ripened or

rotten. In this proposed method, transmitting and receiving antennas are used. Fruit is kept in the far field

of transmitter antenna and near field of receiving antenna. Both transmitter and receiver antennas are

designed and simulated for 2.45GHz frequency and are passed through the fruit. The variations in

received power observed due to changes in ÏµÂ´ (permittivity) and ÏµÂ´Â´ (loss factor) of the respective

fruit material kept for evaluation. A simulated result shows that microwave technique is useful to check

the quality of the fruit by non-invasive method.

Analysis and Reduction of specific absorption rate of microstrip patch

antenna

Pallak Gupta, V.Y Deo

[email protected]


ABSTRACT

Analysis of Specific Absorption Rate for microstrip patch antennas (rectangular and circular) which can

be used for mobile application is given in this paper. For the given antennas one uses FR4 substrate

(height 1.6mm and Îµ 4.3) and the other uses RT Duroid 5880(height 2.56 and Îµ 2.2). The microstrip

patch antenna (rectangular) is designed with a rectangular slot and microstrip patch antenna (circular) is

designed with circular slot. The return loss of antenna is calculated with and without head model. Head

model is used to calculate the SAR at different frequencies. The calculation of SAR is done by placing

antenna next to ear of head model. The SAR is calculated for 1g of tissue and for 10g of tissue.


Robust Signal Classification in Cognitive Radio Networks based on Machine

Learning Technique

Sanjog S. Shah, R. G. Yelalwar

[email protected]


ABSTRACT

In wireless communication, spectrum occupancy is one of the major challenge. To perform all the task in

wireless communication intelligently, Cognitive Radio (CR) is used. With the help of machine learning

techniques, performance of CR will increased. In this paper, implementation of spectrum sensing (SS) in

cognitive radio network (CRN) is presented. To check the availability of spectrum, the supervised

machine learning (ML) is used. Support Vector Machine (SVM) is one of the powerful ML technique for

classification as well as data mining. So the SVM method with its kernel function is proposed. The

system is simulated in matlab. The Additive White Gaussian Noise (AWGN) is consider throughout the

paper.

Manned Maneuvering Unit Simulator (Reduced Gravity Simulator)

Sharma Sumeet Sunil, Dr. A. P. Dhande

[email protected]


ABSTRACT

Space research is taking boom in developed and developing countries at a greater pace. Many astronauts

are being trained in International space centre for carrying out various space activities. Prior to

International space centers astronauts are trained on ground using space gravity simulators. Countries like

India lack these space simulators due to their high cost. In this paper a novel approach to reduced gravity

simulator is given which can be used by to train students. It is a low cost simulator which uses counter

weight forces and Electric motor drives for operation.

Design of Slit Loaded Textile Microstrip Antenna

Sulakhe Shamali Mukund, Dr. R. Sreemathy

[email protected]


ABSTRACT


The growth of wireless body area networks has introduced wearable antennas and devices. Textile

antenna is a type of wearable antenna which uses textile material for its substrate and/or patch. It is used

in body worn applications such as in healthcare, military and space communication. In case of wearable

antennas, circularly polarized radiation is required as the orientation of antenna gets changed due to

movement of body. This can be achieved by inserting slits in the periphery of the patch. The project deals

with introduction of slits on textile antennas and compares their performance. Four types of textile

antennas: without slits, with truncated corners, V-shaped slits and square shaped slits are designed using

FEM based software HFSS 13.0. It is observed that insertion of slits changes the resonant frequency of

the antenna and achieves circular polarization. The designed antennas give optimum performance in terms

of return loss, VSWR and gain.

Design and Simulation of a Power Efficient High speed Analog to Digital

Converter using Carbon Nano tube Field Effect Transister

Aonkar Taklikar, Dr. S. S. Narkhade

[email protected]


ABSTRACT

A power efficient 4 bit sample-and-hold less pipelined ADC is presented for high speed applications. The

architecture is designed using 32nm CNFET model in Hspice and simulation is carried out at 10 GSPS

sampling rate. From the simulation results, the SNDR is found out to be 25.3dB at nyquist frequency and

the ENOB lies between 3.6 and 3.9 from 0.25GHz to 5GHz. The power consumed is 1.76 mW for a

supply voltage of 1.4V and FoM is 26.16 fJ/step.

Design and Implementation of Slot Patch antenna with dual band and dual

polaraization for ISM band

Ankita Turkel, A.M. Kulkarni

[email protected]


ABSTRACT

Wireless technology is booming extensively, which has fuelled a new dimension to this field. Antennas

are an indispensable part of wireless communication and modern society. The paper will be categorized in

three main antenna designs. The first is the design of circular patch antenna which resonates at the

frequency of 2.45 GHz and the second antenna is the design of circular patch antenna which is operates at

5.8 GHz. The third sub-part is to design a dual band patch antenna operating simultaneously at both 2.45


and 5.8 GHz. Modeling, designing and simulation of all three antenna design with coaxial feeding

technique with FR-4 as the substrate having dielectric constant of 4.4. The application includes Wi-Fi at

2.45 GHz and WLAN at 5.8 GHz center frequency.

Capacity Enhancement of Cognitive Relay Network with Interference

Management

Akanksha Baban Wabale, Dr.R.C.Jaiswal

[email protected]


ABSTRACT

This paper considers resource allocation in cognitive relay network for an orthogonal frequency-division

multiplexing (OFDM) environment. The objective is to maximize the capacity of the cognitive relay

system by increasing transmission rate of the secondary users but with the constraint that the interference

introduced to primary users must be less than predefined threshold, so that primary can work

satisfactorily. To maximize transmission rate both the important parameters such as power allocation and

subcarrier pairing are considered jointly. Genetic algorithm (GA) approach for proper maximum power

and subcarrier pairing is adopted which deals jointly with power allocation and subcarrier pairing in order

to improve the overall transmission rate of the system. Simulation shows that this algorithm works more

effectively compared to some previous representative works.


Signal Processing


Moving Object Surveillance and Analysis of Camera based security systems

Deshmukh Gauri Arvind, Prof. Manasi Pathade

[email protected]

CUMMINS COE, PUNE [20]

ABSTRACT

Surveillance systems help in detecting suspicious activities and extend the perception and reasoning

capabilities. Automated surveillance is of pivotal importance in public places which has large extent of

dynamics to be addressed. This paper attempts to propose an algorithm to analyze and classify the type of

motion in situation of moving objects. The analysis is based on computation of mid level features of

optical flow and corners and texture analysis of video sequence. Nearest neighbor classification is used to

classify the motion into predefined classes. The algorithm is tested on standard PETS database.

Performance of the algorithm is evaluated by computing sensitivity.

Human emotion recognition from EEG signals using multiclass support vector

machine

Behele Ketaki Dattatray, Dr. Anita Patil

[email protected]


ABSTRACT

Emotion recognition plays a very important role in establishing brain computer interface. Emotion

recognition can be done by analyzing speech signal or facial expressions. The main drawback of these

modes is that they are not reliable indicators of emotion, because it is possible to fake these modes. In this

paper Electroencephalography (EEG) is used. EEG proves to be more reliable method as it cannot be

altered by the user. EEG signal is generated from the central nervous system and cannot be faked. The

proposed method consists of four steps, viz., data acquisition, pre-processing, feature extraction and

classification. Emotions are invoked by using audio visual stimuli. EEG signal is captured for four

emotions viz. happy, sad, angry and neutral using power lab instrument by ADInsruments. The recorded

EEG signal is then filtered using band pass filter with cutoff frequencies of 3Hz and 30Hz. Discrete

Wavelet Transform is applied to the filtered data and then statistical features are extracted. Multiclass

Support Vector Machine is employed to classify EEG signals into different emotion classes.

Applying BCO algorithm to cognitive cellular network for evaluating SINR


Tupe Komal Sanjay, Dr.Sharada Ohatkar

[email protected]


ABSTRACT

To complete the requirement of cellular user request and to improve the channel allocation, cognitive

cellular network (CCN) is taken into consideration. CCN involves the primary (cellular) and secondary

(cognitive) users in which secondary users try to put up in primary user band which causes interference

,and which causes the reduction in signal to noise plus interference ratio(SINR). Bacterial colony

optimization algorithm is the population based optimization techniques that are applied in CCN to

evaluate the SINR .

Object detection, tracking and classification in thermal video sequences

Tambe Ruchi Kailas, Supriya Mangale

[email protected]


ABSTRACT

This paper gives new way to perform target detection as well as tracking for single and multiple moving

objects in thermal video sequences. The extracted regions are used for performing the segmentation of

targets in thermal videos. In projected method first, Directed Acyclic Graph (DAG) in the form of layers

is used for segmentation in thermal videos. Second, to enlarge the set of target proposals, DAG is

initialized with an incremented object proposal set in which, from adjacent frames motion based

predictions are used. Last, in this paper for selection of the specific object motion scoring function is

used, which is having high optical flow gradient between the edges of the object and background is

presented. After segmentation of object, centroid based object tracking is performed to track the objects in

thermal videos.

License plate identification of fast moving vehicles

Bolaj Namrata Sanjay, Prof. G. R. Padalkar

[email protected]


ABSTRACT

License plate number is the unique character of the vehicle identification. In the case of hit and run, the

license plate recognition is the key measure. The snapshot of the license plate captured by the surveillance


cameras are suffering from the blurring effect and it cannot be easily recognized by the human eye. Such

license plates have low resolution and have lost the edge information hence it is difficult to recognize and

it becomes the challenging task for the researcher to deblurring the images.

In this work, the novel kernel parameter estimation algorithm has been proposed for deblurring the license

plate of the fast moving vehicle. Firstly, the image is estimated by sparse representation. On the sparse

representation, the angle is calculated based on the genuine motion angle and length of the motion kernel

is calculated by radon transform in the frequency domain

Soft Computing Based Intrusion Detection System

Ukarande Rajashwini Bhanudas, Dr. Mrudul Dixit

[email protected]


ABSTRACT

Intrusion Detection System (IDS) are actively used to identify any unusual activities in a network. To

improve the effectiveness of IDS, security experts have embedded their extensive knowledge with the use

of fuzzy logic, neuro-fuzzy, neural network and other such AI techniques. This article presents an

intrusion detection system in network, based on fuzzy logic, neural network and neuro-fuzzy techniques.

The proposed system is evaluated using the KDD Cup 99 dataset. The fuzzy system detects the intrusion

behavior of the network using the defined set of rules. The neural network trains the network based on the

input and uses the trained system to predict the output. Whereas, neuro-fuzzy uses a combination of both

the above methods to detect the incoming data as normal or an attack. For the system to work with

maximum accuracy, the True Positive Rate and True Negative Rate should be as high as possible, with

good precision in attack detection.

Implementation of a video stabilization algorithm for surveillance system

Kawade Harshada Dilip, Dr. Ashwini Deshpande

[email protected]


ABSTRACT

Aerial video surveillance plays important role in gathering the information for the public as well as

military applications. Now a day's cameras used for the capturing video are of high quality, but because of

the unintentional movement of cameras, the video gets unstabilized. The unstabilization produces

shakiness in the video. The main aim of the video stabilization is to remove the unintentional motion and

shakiness in the videos and preserve the desired motion.


In this approach, speeded up robust features (SURF) and scale-invariant feature transform (SIFT)

methods are used to detect and match the interested features points. The outliers and noise are removed by

using RANSAC, while affine transform is used to estimate the motion of the interested points. Finally, the

video gets stabilized by compensating the global motion points obtained by the affine transform. This

approach for video stabilization shows promising results using SURF and SIFTS algorithms.

Return Loss, Bandwidth, Gain and VSWR Enhancement of Microstrip Patch

Antenna using DGS

Belekar Vrishali Mahesh, Dr. Prachi Mukherji

[email protected]


ABSTRACT

Microstrip Patch Antenna (MPA) is used on a wide scale due to its physical simplicity and low cost but a

drawback of this kind of antenna is its narrow bandwidth which sometimes confines its use in different

applications. As a solution, two designs of an improved rectangular MPA with enhanced parameters are

proposed in this paper. One of the proposed designs has a simple rectangular slot on ground surface while

the other design has polygonal slots/defects. These slots on the ground surface are nothing but the

Defected Ground Structure (DGS). To improve the working efficiency of the proposed antennas,

optimization of the antenna design parameters has been carried out using High Frequency Structural

Simulator (HFSS) software.

Person detection in indoor environment using Deep Convolutional Neural

Network

Jadhav Jayshree Shivaji, Sandhya Potadar

[email protected]


ABSTRACT

Person detection is a popular research topic due to its huge importance in computer vision research and

artificial intelligence. It is very important in modern world for fast video surveillance. It has number of

practical applications, in the fields of robotics, video surveillance, autonomous driving, and automotive

safety. Despite the significant improvements, human detection is still a challenging problem due to the

tremendous variations in illumination, clothing, color, scale, and pose. In the recent years, deep learning

and convolutional neural networks have come out as the state of the art in terms of accuracy for a number

of tasks in computer vision such as image classification, segmentation and object detection. Human


detection can be considered as a classification problem involving only two classes that is a person and

background. In this paper, we propose a person detection system based on deep learning, adapting a

general purpose deep convolutional neural network (DCNN) to the task at hand. Openly available

PIROPO dataset is used for evaluating the results using caffe framework for CNN.

Performance analysis of Index-Modulation based OFDM system for

multipath channel

Dugad Payal Pravin, Prof. A. R. Khedkar

[email protected]


ABSTRACT

Wireless communication is one of the important, reliable and fast growing fields of the communication

domain. Among them, mobile communication is one of the widely used technique, but this there are many

disadvantages which is to be overcome like interference, shadowing, loss in propagation path etc. The

demand for large capacity with good quality services, well define OFDM plays the important role as it is

the precious option for large bandwidth data transmission capability by converting wideband to

narrowband signal transmission. But this technique produces orthogonal carrier along with narrow band

signal and required more transmission power. The OFDM techniques also having the problem of inter

Carrier Interference (ICI) and Inter Symbol Interference (ISI) and Doppler shift.

Speech seperation using deep stacking network

Rajkunthwar Pooja Pandharinath, Prof. J. A. Mokashi

[email protected]


ABSTRACT

In audio processing ,the algorithm which work very robustly in presence of noise gaining

more importance. Speech segregation in noisy medium is considered critical difficulty to solve. If pitch

information is available, then it will be easier to extract clean data from distorted background. This

paper will provide machine learning approach for segregation process. This technique is based on deep

Stacking Architecture which is used as classifier .DSN consist of number of modules and for each

module input is frame-level elements and previous module output and output based is ideal binary

mask. Framelevel elements are combination of element based on pitch and spectral elements. During

testing stage, pitch based elements are modified using segregation output for next module. The pitch

and IBM updated several times to obtain speech segregation results. To obtain high quality segregation

results estimated binary mask and pitch evaluation must be performed accurately.


Keywordsâ€” IBM; DSN; frame-level elements

Integrated information mining for image retrieval in remote sensing

Patil Shivani Uttam, Dr.Reena Kulshrestha

[email protected]


ABSTRACT

With different type of satellite and sensors, high resolution remote sensing images are generated in high

volume. There is a requirement of effective computer system to manage scanning, searching and

retrieving images. This paper suggests a three layered image retrieval approach. In the first layer, image

features are extracted by using local and holistic feature extraction method. In the second layer from two

lists of local and holistic features top ranked and common images are used to find out graph anchors. By

using these graph anchors, reranking process is done to obtain new image lists. Last, third layer regression

based SVR fusion method is used to retrieve images similar to a query image. Accuracy of image

retrieved is calculated which shows that images similar to query image are retrieved with great precision.

EEG Signal Classification using Frequency Band Analysis towards Epileptic

Seizure Detection.

Ranade Pooja Ulhas, Prof.Ratnaprabha Borhade

[email protected]


ABSTRACT

Electroencephalogram (EEG) is recording of electrical action of the brain which can be utilized to

identify Epileptic Seizures. Gathering of Neurons when failing produce abnormal electrical release which

produces seizure. Epilepsy is propensity to have recurrent and unjustifiable seizure. It is normal brain

issue that affects around 1% of the total populace. A wavelet based fluffy approximate entropy (fApEn)

technique is exhibited for the grouping of electroencephalogram (EEG) signs into healthy /interictal

versus ictal EEGs. Discrete wavelet transform is utilized to deteriorate the EEG signals into various sub

groups. The fuzzy approximate entropy of various sub-groups is utilized as highlight vector for the

classifier. In this work it is watched that the quantitative estimation of fuzzy approximate entropy drops

amid the ictal period which demonstrates that the epileptic EEG signal is more requested than the EEG

signal of a typical subject. The fApEn estimations of various sub-groups of the considerable number of

informational indexes are utilized to shape highlight vectors and these vectors are utilized as contributions

to Convolutional Neural Network (CNN) classifier. The fApEn highlight of various sub-groups (D1-D5,

A5) and classifiers is wanted to effectively separate between three sorts of EEGs. It is uncovered that the


most elevated arrangement than before results distributed. The outcomes are talked about very in detail

towards the last segment of the present paper.

No entry Vehicle detection and moving object tracking by mean shift

algorithm

Mahajan Priya Kisan, Prof.Mugdha Dewasthale

[email protected]


ABSTRACT

Mean-Shift algorithm is the popular approach to track the objects. In standard object tracking algorithm

based on Mean Shift, tracking window is fixed due to which object tracking fails if object is changed in

the size. To overcome this problem, this paper proposes the robust approach to increase tracking potential

of the standard Mean-Shift algorithm. Firstly, this algorithm check the change in size of object then finds

the size of kernel-bandwidth (tracking window). Accordingly adjusts the kernel-bandwidth of the Mean

Shift. At the end, an object can be located accurately with proper kernel-bandwidth. The experimental

results show the proposed algorithm can improve the tracking ability of the standard Mean Shift

algorithm robustly when there is change in the size of object and it is capable of adapting to the changing

size of the tracking object.

Recognition of emotion in music using SVR based double-scale regression

Gaikwad Yogita Sadashiv, Dr.Bageshree Pathak

[email protected]


ABSTRACT

Dynamic music feeling prediction is to perceive the continuous feeling contained in music, and has

different applications. As of late, dynamic music feeling recognition is broadly contemplated, while

within structure of the feeling in music stays unclear. We lead an information observation in light of the

database which we generated manually, and find that feeling dynamic shows diverse properties under

various scales. As indicated by the information perception, we propose another strategy, Double-scale

Support Vector Regression (DS-SVR), to powerfully perceive the music feeling. The new strategy

decouples two sizes of feeling flow separated, and remembers them independently. We apply the DS-

SVR to Emotion in Music database, and accomplish an out-standing execution, altogether superior to

anything.


Analysis of signal Processing of GPR for Soil Parameters Measurement

Oimbe Prakash Sonal, Prof. S. L. Sahare

[email protected]


ABSTRACT

Ground Penetrating Radar (GPR) is a geo-sensor, which is used for detecting, locating, identifying and

3D imaging of the buried target inside the shallow surface. It is very difficult to detect and locate the

target when limited amount of information is delivered by geo-sensor. On the basis of scattering

parameter we try to extract information (related to feature of surface and target) as many as possible.

Geometrical modeling of ground and target, as well as mathematical modeling for transmitting and

receiving signal are the key factor in the field of GPR research.

Receiving signal is nothing but the scaled version of transmitting signal which is affected by noise.

So for mathematical modeling of receiving signal scaling parameter and noise plays a vital role. Where as

in signal processing domain time and frequency are the observation parameter. In signal processing cross

correlation, windowing technique and time domain gating are the excellent features, which help in delay

measurement, for suppression of an unwanted frequency and for extracting the time domain information

of GPR signal at any specified duration. SFCW technique is a modern technique which is more applicable

in GPR comparison to conventional FMCW technique. This technique can be operated at low power and

license free band (ISM band).

Detection of any materialistic things becomes difficult if it has dielectric nature. If electrical

parameter like permittivity, Permeability, Conductivity of target has similar value like environment then it

becomes too difficult to detect the target. Shallow surface analysis has become an emerging field of an

area of research because installed materialistic things, surface under the railway track, landmines are not

placed at very high depth. To study the shallow surface and for locating, identifying and 3D imaging of

the buried target, a technique came called as ground penetration radar (GPR). Apart from above

application there is also another area, like tunnel detection, dead body detection etc., where GPR is being

utilized. Basically in GPR EM wave strikes to the target and returned back to the receiver, on the basis of

reflected signal we find the various parameter of ground and feature of target. There is another technique

called as bore-hole technique where we find the ground parameter for higher depth but it is a too

expansive method.

Real time Home automation with security using pic microcontroller

Bennur Nalina Nagappa, Dr. V N Nitnaware

[email protected]


ABSTRACT


Abstractâ€” With advancement of technology things are becoming simpler and easier for us. Automation

is the use of control systems and information technologies to reduce the need for human work in the

production of goods and services. In the scope of industrialization, automation is a step beyond

mechanization. Whereas mechanization provided human operators with machinery to assist them with the

muscular requirements of work, automation greatly decreases the need for human sensory and mental

requirements as well. Automation plays an increasingly important role in the world economy and in daily

experience. Automatic systems are being preferred over manual system. Through this project we have

tried to show automatic control of a house as a result of which power is saved to some extent. The GSM

module is used to communicate with the owner of the home whenever the sensor senses a fault, a specific

message is sent to the owner in order to take a necessary action.

â€œA Reconfigurable Smart Sensor Interface for Mass Processing of WSN in

IoT Environment â€•

Kinhikar Pratik Gajanan, Dr V N Nitnaware

[email protected]


ABSTRACT

A sensor interface device is essential for sensor data collection of industrial wireless

sensor networks (WSN) in IoT environments. However, the current connect number,

sampling rate, and signal types of sensors are generally restricted by the device.

Meanwhile, in the Internet of Things (IoT) environment, each sensor connected to the

device is required to write complicated and cumbersome data collection program code. In

this paper, to solve these problems, a new method is proposed to design a reconfigurable

smart sensor interface for industrial WSN in IoT environment, in which Field

Programmable Gate Array (FPGA) is adopted as the core controller. Thus, it can read

data in parallel and in real time with high speed on multiple different sensor data.. It

comprehensively stipulates the smart sensor hardware and software design framework

and relevant interface protocol to realize the intelligent acquisition for common sensors.

A new solution is provided for the traditional sensor data acquisitions. The device is

combined with the newest FPGA programmable technology and the fast and accurate

data acquisition form intelligent sensor specification. Performance of the proposed

system is verified and good effects are achieved in practical application of IoT to water

environment monitoring.

Automatic monitor and control system for mushroom plant using PLC

Watkar Neena Subhash, Prof. N A Dawande


[email protected]


ABSTRACT

:Automation and innovation havea close and conjoined relationship with environmental science

development. In a rapidly evolving age, the concept of automation has gained significant importance. For

instance, to improve the conditions and cultivation of crops under Greenhouse many research projects

have been concluded. Some such projects relate to the mass cultivation of mushrooms,and areindependent

of geographic location or time of the year. The performance and productivity of the mushroom-

productionplant, is criticallydependent on the information management infrastructure from the

environment. The key objective of this research paper is to propose the design of sensor-based automated

monitoring and controlling system for a mushroom-production plant,which can manage endto-end input

to output cycle with minimal to no human intervention.The system consists of sensors, and PLC&PID

controller as its fundamental constituents. By using the output signals from various sensors,PLC will help

in maintaining the appropriate conditions conducive to the growth of mushrooms or any other plants. A

PLC-based circuit will play a key role in monitoring and recording the continuously changing values of

various parameters like temperature, humidity, soil moisture, sunlight, etc. The circuit will also control

these parametersto optimize them for better plant growth and maximum yield. The objective of this

design is to tune the control parameters by means of evolutionary computation and to minimize the error.

This makes the complete system an economical, convenient, andlow-maintenancesolution for cultivation

of agricultural products across rural areas in general, and for small scale agriculturists in particular.

Wi MAX Deinter leaver’s Address Generation Unit through FPGA

Implementation

Kulkarni Rasika Ramchandra, Prof Priti Rajput

[email protected]


ABSTRACT

The IEEE 802.16 standard, commonly known as WiMAX has broadband wirelessaccess over long

distance. WiMAX has evolved from 802.16 to 802.16d for fixedwireless access and IEEE 802.16e

standard is for mobility support. WiMAX Forumcreated the name "WiMAX". The forum describes

WiMAX as "a standards-based technology enabling the delivery of last mile wireless broadband

access as an alternative to cable and DSL". WiMAX is similar to Wi-Fi, but it can enable usage at

much larger scale and at faster speeds [1]. Inorder to minimize the effect of burst error, the channel

interleaver/deinterleaver employed in the WiMAX transreceiver is used. The channel

interleaver/deinterleaver consists of two memory blocks and an address generator. The objective of

this project is to implement an area and delay efficient circuitry for address generator for WiMAX 2-

D Deinterleaver using the Xilinx FPGA for all permissible code rates and modulation schemes. This

project also build up a generalized circuit for all permissible Ncbps without manual computation of

column number.


Keywords: Digital circuits, error correction, field programmable gate arrays (FPGAs), wireless

systems.

Diagnosis of Diabetic Retinopathy and Detection of Optical Disc in Fundus

Images

Madale Gayatri Malasiddha, Dr. B. R. Jadhwar

[email protected]


ABSTRACT

Presently a days diabetic retinopathy (DR) has turned out to be not kidding dieses among diabetic patients

. It would recognize at the early stage else it will causes to aggregate visual impairment .The paper

proposes to programmed ID of exudates pathologies in retinopathy fundus pictures a novel strategy is

computational insight method. To concentrate components of fundus picture like vessels , red sores and

white sores together with surface element examination utilizes the remarkable execution of morphological

administrators.

Design And Analysis of Miniaturized Half Hexagonal Patch Array Antenna

Lahamge Shital Mangesh, Prof. Dhede V. M.

[email protected]


ABSTRACT

In this paper, a miniaturized half hexagonal patch array antenna is proposed and investigated. A full

hexagonal antenna with microstrip feed is designed as a reference antenna and optimized for its

broadband behavior. First, the miniaturization is investigated by bisecting the reference antenna through

its symmetry plane. The high gain behavior with further miniaturization is achieved by scaling down the

bisected antenna. The proposed antenna is 50%.further to increase the efficiency of the patch antenna

array techniques is used. The antenna has been designed on FR4 substrate dielectric constant 4.4 and

thickness h=1.53 mm & its dimension is 58.0 mm Ã— 57.0 mm Ã— 1.6 mm. The proposed antenna

exhibits 30MHz impedance bandwidth from (2.46-2.49GHz). The proposed antenna has a compact size

and exhibits high gain behavior, good radiation characteristics, and directivity is around 6.0 dBi.The

radiation pattern, return loss, VSWR and gain of the proposed antenna are described and simulated using

the HFSS software package.


walsh pattern generator using programmable devices

Shinde Navnath Dnyaneshwar, Prof. Dhede Vaishali

[email protected]


ABSTRACT

A circuit to control certain System parameters, through Monitor and Control Modules in the Radio

telescope receiver chain is being developed. This report describes in detail the circuit design and

implementation. An introduction to Walsh functions is given and an efficient method of Walsh pattern

generation has been described. The logic for Walsh pattern generation forms the main part end control

circuit along with various other logic's for noise pattern generation, sequency pattern generation and

control of monitoring signals. The overall architecture for various patterns generation has been

programmed in a CPLD using Xilinx Design Tools 8.2i, so as to develop a SOC. Additional functional

features have been added to this circuit to provide more flexibility to a user while observation. Finally, the

overall circuit has been implemented on a PCB using Altium Design Tools 6.1and the final PCB is under

test. The various results obtained after testing have been compared with the calculated and the simulated

results.

Super-Resolution Reconstruction of Cardiac MRI

Gadage Sonali Sarjerao, Prof.R.M.Mulajkar

[email protected]


ABSTRACT

The accurate measurement of 3D cardiac function is an important task in the analysis of cardiac magnetic

resonance (MR) images. However, short-axis image acquisitions with thick slices are commonly used in

clinical practice due to constraints of acquisition time, signal-to-noise ratio and patient compliance. In this

situation, the estimation of a high-resolution image can provide an approximation of the underlying 3D

measurements.In this project, we develop a novel algorithm for the estimation of high-resolution cardiac

MR images from single short-axis cardiac MR image stacks.

Human Identifiction on the Basis of Finger Dorsal Pattern

Waykar Pratik Kisan, Prof.Mulajkar R.M.

[email protected]



ABSTRACT

Abstractâ€”there are several methods of human identification likewise human fingerprints we can use

finger dorsal pattern and it is unique. High frofile premices huan forencics and different biometrics are the

applications of this innovative biometric method. The surface area of wo different phalanx that is

proximal phalanx joining middle phalanx helps to find the human identity. There were lot of difference in

conventional finger knuckle identification and other is contact based identification with the help of finger

prints. Index terms-biometrics of finger knuckle, proximal phalanges and middle phalanges, finger

knuckle, biometrics of finger dorsal, segmentation of knuckle, biometric fusion.

Index Termsâ€” biometrics of finger knuckle, proximal phalanges and middle phalanges, finger knuckle,

biometrics of finger dorsal, segmentation of knuckle, biometric fusion

Gain Enhancement of Microstrip Patch Antenna Using Artificial Magnetic

Conductor Structure

Abhijeet Tanaji Dhende, Dhede V. M.

[email protected]


ABSTRACT

A small Microstrip patch antenna is designed to function in 2.4GHz wireless radio band. To improve the

gain of microstrip patch antenna Artificial Magnetic Conductor Structure (AMC) is used. The dielectric

substrate used is FR4_epoxy for calculation. The microstrip patch antenna is designed and simulated

using HFSS simulation software. Simulation results are given.

Single Image Superresolution By Using Gradient Profile Sharpness

Abhilasha, Mr. A.S.Bhalerao

[email protected]


ABSTRACT

Single image superresolution is active image processing problem, which aims to generate a

high-resolution (HR) image from a low-resolution input image. Due to the severely under-determined

nature of this problem, an effective image prior is necessary to make the problem solvable, and to

improve the quality of generated images. In this paper, a novel image superresolution algorithm is


proposed based on gradient profile sharpness (GPS). GPS is an edge sharpness metric, which is

extracted from two gradient description models, i.e., a triangle model and a Gaussian mixture model

for the description of different kinds of gradient profiles. Then, the transformation relationship of

GPSs in different image resolutions is studied statistically, and the parameter of the relationship is

estimated automatically. Based on the estimated GPS transformation relationship, two gradient profile

transformation models are proposed for two profile description models, which can keep profile shape

and profile gradient magnitude sum consistent during profile transformation. Finally, the target

gradient field of HR image is generated from the transformed gradient profiles, which is added as the

image prior in HR image reconstruction model. Extensive experiments are conducted to evaluate the

proposed algorithm in subjective visual effect, objective quality, and computation time. The experimental

results demonstrate that the proposed approach can generate superior HR images with better visual

quality, lower reconstruction error, and acceptable computation efficiency as compared with

state-of-the-art works.

TWO-LEVEL QR CODE FOR DOCUMENT AUTHENTICATION

Madhuri Mohanrao Jagtap, Prof. S. K. Bhatia

[email protected]


ABSTRACT

The quick response (QR) code was designed for storage information and high-speed reading applications.

In this paper, we present a new rich QR code that has two storage levels and can be used for document

authentication. This new rich QR code, named two-level QR code, has public and private storage levels.

The public level is the same as the standard QR code storage level; therefore, it is readable by any

classical QR code application. The private level is constructed by replacing the black modules by specific

textured patterns. It consists of information encoded using q-ary code with an error correction capacity.

This allows us not only to increase the storage capacity of the QR code, but also to distinguish the

original document from a copy. This authentication is due to the sensitivity of the used patterns to the

print-and-scan (P&S) process. The pattern recognition method that we use to read the second-level

information can be used both in a private message sharing and in an authentication scenario. It is based on

maximizing the correlation values between P&S degraded patterns and reference patterns. The storage

capacity can be significantly improved by increasing the code alphabet q or by increasing the textured

pattern size. The experimental results show a perfect restoration of private information. It also highlights

the possibility of using this new rich QR code for document authentication.

An Improved Traffic Signs Recognition and Tracking Method for Driver

Assistance System


Rupali Pramod Deshpande, Prof. Pravin Badadapure

[email protected]


ABSTRACT

Traffic signs recognition is a major issue for a driver assistance system as it has a dual role to control the

road traffic as well as warning and guiding the driver. Such system has to be fast and efficient to detect

traffic signs in real time context and identify them precisely.

An automatic traffic sign recognition system would help reducing the number of traffic accidents and it is

essential for any autonomous vehicle project.

A new method for recognition and tracking of traffic signs dedicated for an automatic traffic assistance

system is thus being introduced. Potential traffic signs regions are detected, then classified using HOG

features and a linear SVM classifier. Afterwards, we keep tracking traffic sign so as to have a continuous

capture of the traffic sign while accelerating the execution time. Also we displayed the alerts on LCD for

driver assistance. Our proposed system has good recognition rate under complex challenging lighting and

weather conditions.

Design of reconfigurable mono pole microstrip patch antenna

Minal Changadeo Sonawane, Prof. Deshpande.A.S

[email protected]


ABSTRACT

With the rapid advancement in wireless communication technologies, the demand for multi-band mobile

devices is increasing. For example, the current wireless transceivers have to support various

communication protocols such as GSM, UMTS, LTE, Wi-Fi and GPS simultaneously. Each of these

technologies operates at a different frequency band. Therefore, instead of using several antennas, it is

more compact and efficient to use one multi-band antenna that accommodates multiple modes. A

reconfigurable antenna is an antenna capable of modifying dynamically its frequency and radiation

properties in a controlled and reversible manner in order to provide a dynamical response. By using

different reconfiguration of patch we got different result of gain, bandwidth and efficiency. So it is

beneficial for compactness. The reconfigurable monopole antenna is proposed by incorporating resonators

to monopole antenna. Electronic switches are mounted across these resonators to serve in activating or

deactivating their resonance frequency, thus leading to reconfigurability.

Frequency Reconfigurable Planar Inverted-F antenna

Arati Madhukar Khade, Prof. A. S. Deshpande


[email protected]


ABSTRACT

A Frequency reconfigurable planar inverted-F antenna for LTE mobile handset application is proposed.

The reconfiguration capability of reconfigurable antenna is used to maximize the antenna performance in

a changing scenario or to satisfy changing operating requirements. The proposed antenna mainly consists

of three switches, In addition the antenna has simple structure with a small size. This antenna operates in

six modes, by changing the switch on off states. The planar inverted-F antenna has two advantages over a

simple monopole antenna is shorter and the impedance matching can be controlled by the designer

without the need for extraneous matching components. Proposed antenna uses the microstrip line feeding,

a conducting strip is connected directly to the edge of the microstrip patch. The conducting strip is smaller

in width as compared to the patch this kind of feed arrangement has the advantages that the feed can be

etched on the same substrate.

Image Dehazing Using Fast Guided Image Filter

Tupe Sachin Gopal, Prof. Raskar V.B

[email protected]


ABSTRACT

Imaging in bad weather is frequently tarnished by dispersion due to suspended particles in the troposphere

such as haze, fog and mist. It decreases scene visibility. In this paper we have proposed a haze removal

algorithm using color attenuation prior model. By creating a linear model for modelling the scene depth

of the hazy image under this novel prior and learning the parameters of the model by using a supervised

learning method, the depth information can be well recovered. Once depth information is recovered, it is

used to estimate transmission map. We can easily restore the radiance via the atmospheric scattering

model and thus perfectly remove the haze part from the image. We have implemented this algorithm by

using Guided image filter and Fast Guided Image Filter. The use of Fast Guided Image Filter improves

the speed of execution greatly. The algorithm achieves high quality dehazing. The high SSIM index value

shows that output dehazed image preserves structural similarities of ground truth image.

Circular Aperture slot antenna with Defected Ground Structures

Bhosale Vishal Balasaheb, Prof.P.R.Badadapure

[email protected]



ABSTRACT

Circular Aperture slot antenna with Defected Ground Structures

Abstractâ€” As wireless technology has grown-up between the variety of microwave devices,

differentially fed system are of abundant curiosity. The main advantage of differential system is higher

gain, signal can travel longer distances also it rejects the influence of cross-talk coupling .This system

includes circular aperture slot antenna & the DGS structure.microstrip coupled transmission lines are used

to differentially fed this antenna. Three non-periodical defected ground structures are implemented to

remove CM noise.Fractional BW of 125% is achieved by this system. For the different frequencies

various radiation patterns in E & H planes is obtained.We get 3 bands namely at 1.3 Ghz.,2.3 Ghz and 3.2

Ghz.Which are useful in GSM Applications,LTE Application and wimax Applications. .The system is

used in radio astronomy applications

Abandoned Object Detection Based On Blob Analysis

Tambe Dhanashri Ramakant, Prof. Raskar V. B.

[email protected]


ABSTRACT

Abandoned object detection is a vital requirement in many video surveillance context. In this paper a new

framework to efficiently detect abandoned object in surveillance videos based on background subtraction

& foreground analysis is presented. The blob analysis technique is applied on the foreground object pixels

represented by binary images. Blob Analysis calculate statistics for labeled regions in a binary image.

The statistical quantities such as the centroid, bounding box, label matrix, and blob count are returned by

the block. On the binary images of the foreground pixels the morphological operations are done.

Computer vision system toolbox is used for object detection. Very small abandoned objects in the low

quality surveillance videos can be detected, Proposed method can even detect the abandoned objects in

the presence of varying illuminations and dynamic background.

Keyword

Unmanned Aerial Vehicle for Mislaid People Discovery Employing the Phased

Array Antenna

Siddharth Achyut Musmade, Dr. S. L. Lahudkar.

[email protected]



ABSTRACT

A phased array antenna for locating the missing people using UAV which is able to move rapidly and has

a wide-angle view from the air in the disaster-prone area is proposed. However, an air-plane type UAV

does not necessarily have a stable flight due to harsh wind, rolling, and pitching. In order to locate and to

respond the missing people promptly using the UAV, we propose the system which uses a phased array

antenna and an angle detector. To implement the system, we amass the phased array antenna. The

experiment results show that the projected system increase the received power level by adjusting the

directivity of the antennas with short delay time. The results also validate that the proposed system is

practical in decreasing sufferers of disasters.

Single Human Body Extraction From Still Images

Raja Rajeshwari Mohan Jadhav, Dr. S. L. Lahudkar

[email protected]


ABSTRACT

Division of human bodies in pictures may be a difficult task that may facilitate different applications, like

scene understanding and activity recognition. It has found numerous applications like photograph

album making, photo categorization and image recovery. The result can be further applied to various

useful applications like part identification which can be more applied to gesture study in track. We

recommend a simple way for mechanical retrivation of human bodies from static images. The location,

size, and color of the face are used for the localization of the sketch out, creation of the models for the

upper and lower body in keeping with measurement constraints, and assessment of the color. Completely

dissimilar levels of division graininess are combined to extract the cause with highest potential. The

sections that be in the right place to the figure arise through the joint approximation of the foreground and

background throughout the portion examine phases, that alleviates the need for precise form matching.

The performance of our rule is measured victimization forty pictures (43 persons) from the INRIA person

dataset and 163 pictures from the â€œlab1â€• dataset, wherever the measured accuracies are eighty

nine.52% and 96.68%, severally. Quantitative and qualitative and experimental consequences exhibit that

our method outperforms progressive interactive.

Dual Ridge Horn Antenna

Shital Pramod Kapade, Prof. Deshpande. A.S

[email protected]


ABSTRACT


Simple horn antennas have relatively limited bandwidth. In order to increase this bandwidth ridges are

used in horns. Horn antennas are simple to construct, provide very good directional performance, gives

good peak power handling capability. Ridges are inserted to increase bandwidth, cut-off frequency,

surfaces of antenna provided for larger radiation and energy that can be radiated. In this paper, Dual ridge

horn antenna for electromagnetic compatibility testing up to 7 GHz range is proposed.Horn antennas are

characterized using several parameters like gain, voltage standing wave ratio (VSWR), geometry, half-

power beam width, frequency of operation, and polarization. Horn antennas are widely used in various

areas such as EMC testing, standard gain measurement, satellite tracking systems, reflectors feeding,

radars and communication system.

Abandoned Object Detection Based On Blob Analysis

Tambe Dhanashri Ramakant, Prof. Raskar V. B.

[email protected]


ABSTRACT

Abandoned object detection is a vital requirement in many video surveillance context. In this paper a new

framework to efficiently detect abandoned object in surveillance videos based on background subtraction

& foreground analysis is presented. The blob analysis technique is applied on the foreground object pixels

represented by binary images. Blob Analysis calculate statistics for labeled regions in a binary image.

The statistical quantities such as the centroid, bounding box, label matrix, and blob count are returned by

the block. On the binary images of the foreground pixels the morphological operations are done.

Computer vision system toolbox is used for object detection. Very small abandoned objects in the low

quality surveillance videos can be detected, Proposed method can even detect the abandoned objects in

the presence of varying illuminations and dynamic background.

A New Approach for video denoising and enhancement using optical flow

Estimation

Anagha Arvind Vairale, Prof. Raskar V.B

[email protected]


ABSTRACT

many applications make use of video denoising technique. For example, object detection, medical

imaging, traffic management, remote sensing imaging, digital entertainment and many more. Image

processing investigated the field of video processing. After early 90s, many different techniques were


placed to maximize the denoising in the video with retaining the legacy of video signal. The suggested

approach uses motion compensation using optical flow. In addition to that, Principal component analysis

(PCA) gives fine details of video. But PCA has a limitation of not eliminating out noise to desired level.

To overcome mentioned issue, implemented method tries to replace PCA with wavelet transformation.

Wavelet transform gives an extra advantage of multi-resolution and sparsity. Wavelet transformation

gives better results in terms of RMSE and PSNR as compare to that of PCA.

Secure Authentication with Video-Object Steganographic Mechanism Over

Wireless Networks

Megha Shamasundar Tade, Prof. Raskar V. B.

[email protected]


ABSTRACT

In wireless mode of communication sensitive information is often exchanged, which requires remote

authentication. In Remote authentication data transmitted is encrypted along with visual and audio cues

(facial images/videos, human voice etc.). Robust authentication mechanism based on semantic

segmentation, chaotic encryption and data hiding is proposed by this paper. Considering that user X wants

to be remotely authenticated, initially X’s video object (VO) is automatically segmented, using a head-

and-body detector. One of X’s biometric signals is encrypted with a chaotic cipher. Afterwards the

encrypted signal is inserted to the most significant wavelet coefficients of the VO, using its Qualified

Significant Wavelet Trees (QSWTs). QSWTs provide both invisibility and major resistance against lossy

transmission and compression, circumstances that are typical in wireless networks. At the end, the

Inverse Discrete Wavelet Transform (IDWT) is applied to give the stego-object(SO).

Advanced Approach for city transport tracking using Raspberry Pi platform

Gandre Yadnesh Avinash, Prof. Bhatia. S.K

[email protected]


ABSTRACT

Many researches are done for monitoring and alerting system for public transportation. City transport,

checking, continuous monitoring, cautioning framework is actually a testing issue. There are many

difficulties experienced in city transport, observing and alarming because of inadequacy in appropriate

ongoing vehicle area and many other things. Global Positioning System that is GPS is most generally

utilized innovation for city transport and keeps consistent checking of the vehicle. The target of city

transport framework is to oversee and control the vehicle utilizing GPS trans-receiver to know the present


area of vehicle. In the proposed approach, number of framework, is most generally utilized for alerting

system. Alerting system is fundamental for giving the area and data about vehicle to traveler, proprietor or

client. At last point the data is saved in the cloud spreadsheet. The proposed system gives the more

accuracy than the previous systems.

Reconfigurable smart sensor interface for water monitoring in IoT

environment

Megha Uttamrao Ghorpade, Prof. Bhatia. S.K

[email protected]


ABSTRACT

Automatic monitoring of industrial applications involves many kinds of sensors, each sensor connected to

the device is required to write complicated data collection program code. To solve these problems this

paper proposed a new method to design a reconfiguration smart sensor interface for industrial application

in IoT environment in which FPGA is used as core controller. It can read data in parallel , & offers real

time monitoring with high speed. A portable STIM block is obtained using a Verilog model of

IEEE1451.2.It is low cost, powerful technique. Performance of proposed system is verified & good

results are achieved in practical application of IoT to water environment monitoring.

Design of Multiband Antenna for Mobile Wireless Communication

Applications

Musmade Onkar Jagannath, Prof. Deshpande. A.S

[email protected]


ABSTRACT

Abstractâ€”In this paper, design and investigation of compact asymmetric coplanar strip (ACS) fed

antenna with slot resonators for tri-band operation is presented. Proposed ACS fed monopole antenna

working over the 4G-2.7 GHz, WiMaX-3.5 GHz and WLAN-5.5GHz bands of wireless applications has

been researched. Designed antenna has total size of 13mm x 33 mm and has been simulated over the

CADFEKO EM Simulation tool. Designed antenna has been simulated against frequency range of 2 GHz

to 6 GHz operating region. Simulated antenna shows


An Vision-Based Monitoring System For Accurate Vojta Therapy

Vaishali Ashok Nimbalkar, V.B.Raskar

[email protected]


ABSTRACT

Vojta-therapy is used for the disorders in nervous and musculoskeletal system,particular stimulation is

given to the sufferers in order to purpose the patient's body to perform certain reflexive pattern moves.

The repetition of this stimulation ultimately unblocks connections among the spinal cord and mind, and

after some classes, sufferers can execute these movements without any outside stimulation. on this paper

we proposed an automated imaginative and prescient-based totally tracking device for accuracy. We

proposed an infant’s detection and popularity of particular moves in his/her various body parts at some

stage in therapy, the use of RGB-D statistics. First, robust template matching based algorithm is

exploited for infant detection using his/her face vicinity. Inside the class level, multi-class vector

machine is used , which ultimately exhibits the correctness of the given remedy. Results show that the

proposed method is beneficial to recognize the proper motion pattern in-home therapy systems.

multiband planar monopol for handheld devices

Ashwini Anil Kadam, Prof. Deshpande. A.S

[email protected]


ABSTRACT

This paper describes the parasitic elements based monopole antenna used for handheld devices such as

mobile phone, tablet, laptops etc. The LTE is (long-term evolution) that can provide mobile broadband

and multimedia services better than the GSM and UMTS systems. Wideband operation and small size

low-profile structure are two attracting points pursued by antenna designers with the rapid development of

new generation mobile communication used for WWAN and LTE mobile phone. The proposed small size

monopole antenna has designed for the LTE, WLAN, and Wi-Max ranges which will be useful for

handheld devices. The parasitic elements based monopole antenna has many advantages such as the size

of monopole antenna is half of the dipole antenna, the directivity of monopole antenna doubles that of its

corresponding dipole, monopole antenna’s input impedance is half of dipole antenna etc.

QoS Aware Geographic Opportunistic Routing protocol for WSN

Ms Pawar Yogita Baban, Dr.S L Lahudkar

[email protected]



ABSTRACT

QoS routing is an important research issue in wireless sensor networks (WSNs), especially for mission-

critical monitoring and surveillance systems which requires timely and reliable data delivery Existing job

exploit reaching to television or radio signal that use more than one route from the transmitter to receiver

to guarantee both reliability and delay QoS constraints in WSNs. However, the multipath routing come

near suffers from a major power cost. In this work, we exploit the geographic opportunistic routing

(GOR) for QoS provisioning with both nonstop consistency and setback constraints in WSNs. Existing

GOR protocol are not efficient for QoS supplying of something in WSNs, in terms of the energy

efficiency and addition delay at each hop. To get better the success of QoS routing in WSNs, we define

the difficulty of efficient GOR for multi constrained QoS provisioning in WSNs, which can be formulate

as a multi objective multi constraint enhance effectiveness of something problem. Based on the analysis

and observations of different routing metrics in GOR, we then propose an Efficient QoS-aware GOR

(EQGOR) protocol for QoS provisioning in WSNs. EQGOR selects and prioritizes the forwarding

candidate protocols through ns-2 simulation and evaluate its time complexity through measurement on the

MicaZ node. estimate results display the success of the GOR approach for QoS provisioning in WSNs.

EQGOR significantly improves both the continuous power efficiency and state of situation, and it is

characterize by the low time complexity.

Design and Analysis of Slot Loaded Microstrip Antenna For Tunable and

Dual-Band Operation

Bhapkar Sumit Baban, Prof.P.R.Badadapure

[email protected]


ABSTRACT

This work describes design and analysis of dual-band hexagonal microstrip antenna. It is observed that by

inserting two narrow rectangular slots on a hexagonal patch, a dual-band response can be achieved. The

hexagonal MSA has dimensions of 40Ã—40Ã—1.6 and, excited by using coaxial probe feed technique.

Two distinct resonant frequencies are generated with similar polarization and radiation characteristics.

The parametric study has been conducted for various lengths of slots and spacing between them. Slot

loaded hexagonal MSA is less sensitive to the feed point. It is also noted that frequency ratio is

reciprocally varied to antenna dimensions. The dual-band operation of the hexagonal MSA is tunable at

one frequency only. Finally, hexagonal MSA is tuned in the range 1.20-1.38. The antenna is simulated

using electromagnetic software HFSS v 13.0 based on Finite Element Method.


Design of Multiband Antenna for Mobile Wireless Communication

Applications

Musmade Onkar Jagannath, Prof Deshpande A.S

[email protected]


ABSTRACT

In this paper, design and investigation of compactasymmetric coplanar strip (ACS) fed antenna with slot

resonators for tri-band operation is presented. Proposed ACS fed monopole antenna working over the4G-

2.7 GHz, WiMaX-3.5 GHz and WLAN-5.5GHz bands ofwireless applications has been researched.

Designed antenna has total size of 13mm x 33 mmand has been simulated over the CADFEKO EM

Simulation tool. Designed antenna has been simulated against frequency range of 2 GHz to 6 GHz

operating region. Simulated antenna shows

INFANT'S CRY DETECTION USING LINEAR FREQUENCY CEPSTRUM

COEFFICIENTS

Rajeshwari Dandage, Prof.P.R Badadapure

[email protected]


ABSTRACT

Infant crying can be viewed as an organic alert framework, and it is the principal methods for

correspondence for infants. Newborn child crying signs trouble or needs, requires the consideration of

guardians or parental figures and inspires them to ease the pain. Here, we for the most part centered

around mechanization of Infant's Cry. For this usage we utilize Linear Frequency Cepstrum Coefficient

Cepstrum (LFCC) for highlight extraction and VQ codebook formatching tests utilizing LBG calculation.

The child crying specimens gathered from different cryingbaby having 0-6months age. There are 150

babie's sound as preparing information, each of whichrepresents the 30 hungry baby cries, 30 languid

newborn child cries, 30 needed to burp baby cries, 30 inpain newborn child cries, and 30 awkward

newborn child cries (could be on account of his/her diaper is wet/toohot/icy air or anything else).The

testing information is 40, separately 8 newborn child sobs for each sort ofinfant cry. The distinguishing

proof of newborn child cries based the base separation of Euclidean distance.The, order of the cry in five

classes neh - hunger owh - sluggish, heh - uneasiness ,eair -lower gas, eh - burp.Here for characterization

of the cry our framework is partitioned into two stages. To begin with, in preparing stage, in which LFCC

is connected for highlight extraction, and after that VQ codebooks are created to compressthe include

vectors. Second, is the trying stage in which highlights extraction and codebookgeneration of tests are

rehashed. Here, examination of the codebook format of tests to theall the accessible layouts in the

database are conveyed in view of Euclidian separation between them.LFCC adequately catch the lower

and additionally higher recurrence attributes than MFCC,hence we will get great outcomes over MFCC.


RESOURCE ALLOCATION FOR COGNITIVE RADIO-ENABLED

FEMTOCELL NETWORKS

Dhumal Shubhangi Suresh, Prof.Bhatia S.K.

[email protected]


ABSTRACT

Proposed system is design to monitor Health using ADXL, TEMPERTURE SENSOR, mixed-signal ECG

System-on-Chip (SoC)capable of implementing configurable functionality with low-power consumption

portable ECG monitoring applications. Single channel electrode-tissue-impedance (ETI) measurement

with high signal quality and high performance analog front-end extracts 3-channel ECG signals. It is used

to evaluate the quality of the ECG measurement and to filter motion artifacts.

Temporal Pattern Recognition in Gait Activities Recorded with a Footprint

Imaging Sensor System

Vishakha Vivek Wavare, Mr.V.B.Raskar

[email protected]


ABSTRACT

We evaluate the capacity of an exceptional inconspicuous impression imaging sensor framework, the

"Smart Carpet" in view of plastic optical fiber innovation, to permit proficient stride investigation from

time space sensor information by example acknowledgment procedures. Trial stride arrangement

investigations are executed as 10 conduct of strolling, influencing the abundancy and recurrence attributes

of the transient signs. The information investigation includes the plan of 5 transient components, along

these lines dissected in 14 distinctive machine learning models, speaking to straight, non-direct, outfit and

profound learning models. The model execution is introduced as cross-approved precision scores for the

best model-highlight mixes, alongside the ideal hyper-parameters for each of them.

Secrete Data Hiding In H.264/AVC Video Compressed Bitstreams For

Privacy Data Protection.

Bhagyashri Baburao Raut, Prof V. B . Raskar


[email protected]


ABSTRACT

The idea of the project presents the encryption of compressed video streams and data hiding of private

secure information to protect video during transmission and storage on cloud. Digital video when needed

to be stored and processed in an encrypted form to maintain security as well as privacy. Data hiding

approach is essential to evaluate the encrypted video data for the virtue of content notation and tampering

detection. In similar approach, data hiding in encrypted form without decryption process preserves the

confidentiality of the information and private data. In additions, it is more proficient without

unscrambling taken after by information covering up and re-encryption. Here, information stowing away

specifically in the encoded adaptation of H.264/AVC video stream is drawn nearer, which incorporates

the accompanying three sections, i.e., H.264/AVC video encryption, information implanting, and

information extraction. By examining the property of H.264/AVC codec, the code expressions of intra

forecast modes, the code expressions of movement vector contrasts, and the code expressions of lingering

coefficients are scrambled with stream figures. At that point, an information hider may install extra

information in encoded space by utilizing bits substitution system, without knowing first video content.

The crypto framework is utilized here to scramble/unscramble mystery content information before/after

information installing/extraction. So as to adjust to several application situations, information extraction

should be possible either in the scrambled space or in the unscrambled area. The venture recreated comes

about demonstrates that utilized techniques gives better execution as far as calculation productivity ,high

information security and video quality after decoding. The parameters, for example, Mean square blunder,

PSNR, relationship are assessed to quantify its proficiency.

Keywordsâ€” Data Hiding, Preserving Info, Encrypted Domain, H.264/AVC codeword substituting

An Efficient Image haze Removal Algorithm using color attenuation Prior

Ruhi Avinash Kolhe, Prof.P.R.Badadapure

[email protected]


ABSTRACT

Abstractâ€” We present a method of recovering high dynamic range radiance maps from photographs

taken with conventional imaging equipment. In our method, multiple photographs of the scene are taken

with different amounts of exposure. Here proposed scheme states that a simple but powerful color

attenuation prior for haze removal from a single input hazy image. Here we create a linear model for

modeling the scene depth of the hazy image under this novel prior and learning a parameters of the model

with a supervised learning process, the depth information can be well recovered. With a depth map of

hazy image, we can easily estimate the transmission and restore the scene radiance via the atmospheric

scattering model, and thus effectively remove a haze from a single image. Experimental results show

that the proposed approach outperforms state-of-the-art haze removal algorithms in terms of both

efficiency and the dehazing effect. We discuss how this work is applicable in many areas such as


computer graphics we involve digitized photographs, including image-based modeling, image

compositing, and image processing. Finally we demonstrate a few applications which is having high

dynamic range radiance maps, such as synthesizing realistic motion blur and simulating the response of

the human visual system.

Keywordsâ€” Dehazing, defog, image restoration, depth restoration.

KNN Based Moving Object Classification For Surveillance Application

Kanakshri Verma, Prof. V.B. Raskar

[email protected]


ABSTRACT

In this paper, a new technique is proposed for classification of four different type of moving objects that

are Pedestrian, motorcycles, cars, and bicycles. These four objects are classified on the basis of their side

view from a set camera. Using background subtraction, a Kalman filter, outline projection, an area ratio,

appearance correlation operations, a moving object is segmented and tracked. Combination of static and

spatiotemporal based on co-occurrence of its segmented objects,. To extract this feature of static

appearance, adaptive gradient intensity and histogram of oriented gradients are projected. The optical

base flow entropy value of instant and short-term actions are proposed for spatiotemporal features. To

take out the small term movement information as of several consecutive frames, the end find the temporal

entropy value of optical flow in various orientation bins. To classify different types of objects, linear

support vector machine with batch incremental learning are proposed.

Efficient technique for intra frame encoding in HEVC

Bandgar Juili Devidas, Dr. S. K. Shah

[email protected]


ABSTRACT

High Efficiency Video Coding (HEVC) is the standard for video coding. It provides more efficient

encoding of a video than previous standards. HEVC uses flexible block partition known as quadtree

partition which results in 50% more compression than previous standards. HEVC allows 35 modes for

intra prediction, which is responsible for highly accurate prediction. These additional computations

resulted in high encoding time. The proposed method of modified selection process for intra modes will

help to reduce the time consumed by traditional HEVC encoding. Out of 35 intra mode prediction only 1

mode is best suitable. Most of the modes can be excluded by proper analysis of reference samples. Here


classification of a prediction mode into angular mode, DC mode or planar mode is done previously

thereby reducing the intra prediction time.

Efficient bit rate transcoding for HEVC

Dombale Kanchan Laxman, Dr. S K Jagtap

[email protected]


ABSTRACT

High Efficiency Video Coding (HEVC) is the recently developed standard by the ITU-T and Moving

Picture Experts Group (MPEG). It gives higher compression efficiency than previous standards like

H.264 or AVC. HEVC saves nearly 50%bit rate at the equal subjective quality of its previous standards.

Due to flexible quad tree structure in HEVC it increases the coding complexity of the encoder. To use

HEVC in real life applications effective bit rate transcoding is necessary. Transrating is the bit rate

transcoding. In this paper the transcoding technique is proposed which helps to reduce the transcoding

complexity in both coding unit (CU) and prediction unit (PU) optimization levels. The CU can be

estimated in top to bottom or bottom to top sequences at CU level. While estimating CUs the coding

information of the input video stream is used to reduce the number of estimations or to early end the

certain estimations. The given method achieve trade-off between the computational complexity and

coding efficiency.

An integrated computerized cough analysis by using wavelet for pneumonia

diagnosis

Hande Roshan Sharad, P. S. Deshpande

[email protected]


ABSTRACT

Respiratory diseases such as pneumonia, bronchitis leading causes of child death in the word .out of this

pneumonia are causing the million children death each year around the word. One of the challenged faced

in consistent diagnosis of childhood pneumonia in secluded area is difficulties arising from field

deployable, laboratory facilities and trained healthcare worker. Such issue we address in this paper and to

categorize the pneumonia using the geometrical analysis of cough sound. We used the wavelet-based

mathematical tool which is a useful work for crackle detection in lung sound analysis. Such feature can be

added among new mathematical feature and to develop the automated classifier to distinguish the

pneumonia with other respiratory diseases. In our project uses feed forward neural network classifier to

increase the classification performance with having sensitivity 90%, specificity 98.7% and accuracy


97%.Cough and crackle sound are sign of pneumonia. Cough sounds permit us for pneumonia diagnosis

with adequate sensitivity and specificity.

Fraud Dectection of credit card using Iris technique

Jadhav Priti Sunil, S.A.Panwar

[email protected]


ABSTRACT

Iris Biometric Technique is a very recent concept and it is very useful for decrease frauds over internet.

Often it is used for the security purpose. Biometric technique is widely used for recognition the

authorized person. Now a day, there is increase in credit cards fraud over internet, to avoid that proposed

method is developed. Iris technique is a unique and popular technique for personal identification and

verification. Human iris has distinct pattern of retinal blood vessels. Person to person biometric

identification is in different form. In the proposed work, method is discussed to detect the authorised

person and the fraud. This method uses the hamming distance and other parameters of iris. The goal of

this method is to increase the accuracy and to develop an efficient protection. This paper presents a

feature matching algorithm using hamming distance method based on natural open eyes.

Automatic Face naming System

Machale Sheetal Jayant, P. S. Deshpande

[email protected]


ABSTRACT

Face detection and recognition makes possible to use the images of a person face to authenticate him

which allows performing criminal identification, passport verification etc and makes secure system. For

given collection of images or video, which contains several faces, the face naming is done for each face it

contains. In this paper, a face recognition system is analyzed using Principal Component Analysis (PCA)

with Back Propagation Neural Networks (BPNN) and then it is labelled. A neural based algorithm is used

to recognize the frontal views of faces. PCA technique is used to reduce multi-variant data set. For

efficient and robust face recognition BPNN is used for training and learning the data set. Results indicate

that PCA based execution is faster while the recognition accuracy suffers and vice versa for BPNN, thus

suggesting a system incorporating both techniques are preferred. The aim of the current study is to

evaluate the PCA and BPNN algorithms for face recognition in terms of speed and accuracy. The BPNN

classifier consist of parameters like hidden layers , weights and learning rate which increases the

efficiency of the system.


Vehicular Cloud System

Mane Piyusha Namdeo, S. S. Agrawal

[email protected]


ABSTRACT

Vehicular Cloud System includes some parameters such as computing power, data storage and internet

connectivity over the various customers. Vehicular cloud system (VCS) has wide adaptation and it has

security, privacy and social impact also takes place in VCS. There are many numbers of challenges such

as security and privacy challenges in Vehicular Computing. Hence, main goal for VCS is to find security

challenges and scalability in VCS. Data dissemination concept is used in VCS. Prefetching of vehicular

data is delivered to cloud (web page) with the help of some IR sensors given to that particular vehicle.

Continuously monitoring, data storing and updating it at real time using web page. Provide safety to

environment also focusing phenomenon in VCS. The system works on Global Positioning System (GPS).

The proposed system would place inside the vehicle whose position is to be determined on the web page

in real time. Ethernet module is used for internet connectivity. Data fetching is done through web page

which is nothing but cloud. Coding is done with the help of Arduino. Proposed system gives more reliable

results about prefetching of data dissemination in VCS.

Enhancement of Biometric Security by Embedding Iris Image Watermark in

Hand Vein Image

Pavan G Malghan, S. S. Vasekar

[email protected]


ABSTRACT

Biometric acknowledgment is a noteworthy technique for acknowledgment of individual as of late. Here,

a typical concern is biometric security which is the protection issues gotten from capacity and abuses of

the format information. Two noteworthy ways are Encryption and Watermarking by securing biometric

pictures and layouts. In this paper, watermarking innovation is utilized to enhance the format security in

biometric validation. Here two modalities, for example, iris and hand vein pictures are taken to safeguard

the attributes of vivacity and permanency. The proposed method for implanting of iris information to

hand vein pictures utilizing watermarking innovation to enhance layout security in biometric

acknowledgment is done in view of the accompanying strides, Pre-handling of iris and hand vein pictures,

Iris format extraction, Vein extraction, Embedding of iris example to vein pictures in view of district of

intrigue and putting away installed pictures. A ultimate choice of confirmation is done in light of the item


lead based score level combination. The usage is done utilizing MATLAB and the execution of the

procedure is investigated with FAR, FRR and precision.

Distributed Source Encoding For Enhancement Of Embedding Payload In

Reversible Data Hiding

Shilimkar Amruta Rohidas, Dr. S. K. Shah

[email protected]


ABSTRACT

Reversible data hiding in image encryption is the art and science of imperceptible communication. Due to

fast development of communication network and multimedia technology, security becomes a critical issue

in information trade process over the network. In this paper, we propose a novel scrambling method of

logistic map chaotic theory. This method changes pixel distribution along with pixel position which

reduced the correlation of adjacent pixels to make it troublesome for the intruders to get original data out

of it, such that it will increase security of images and also require less timing. After, data hider

compresses series of selected bits which is slepian wolf encoded using low density parity check code to

generate spare space, and hides additional data into it. The receiver extracts the secret bits using

embedding key and original image can be approximately recovered using encryption key or losslessly

recovered image quality with acceptable peak signal to noise ratio using distributed source decoding.

Application of cascaded linear regression in image super resolution

Shinde Jetashri Jagdish, A.S.Shirsat

[email protected]


ABSTRACT

Camera captures the image which is initially low resolution image. Despite of increase in quality of

hardware used for camera, scanner. New application for super resolution will always in demand. Super

resolution is technique which enhances quality of low resolution image and constructs high resolution

image from it. The aim of this paper is to decrease the use of dictionary along with the implementation of

new method. Second order kernel regression is applied on patch processing low resolution image to get

gradient image. Steering matrix decreases the use of dictionary so to patch processed low resolution

image and steering matrix output is up-sampled with kernel regression to get high resolution image.

Computation time is decrease by this new method. Experimentation method shows that implemented

method achieves better result than other method.


segmentation and Morphological operators detection of human brain tumour

using MRI image

Hajare Yashavanti D., S. S. Agrawal

[email protected]


ABSTRACT

In this paper, Image segmentation plays an role in the processing of medical images. In the field of

Medical Science it is an important and challenging factor It is used for detection of Tumours. Study here

detection of Brain Tumour from MR images of the brain. The brain is an anterior most part of a nervous

system. Tumour is rapid uncontrolled growth cells of brain. Magnetic Resonance Imaging is the device

required to diagnose brain tumour. The Normal MR images are not suitable for particular analysis, so

segmentation is an important required for analyzing the tumour images. Biomedical images segmentation

as it uses unsupervised learning is suitable for clusterig. Current study uses K-Means clustering where

the detected tumour shows some abnormality which is then corrected by the use of morphological

operators along with image processing techniques to meet the goal of separating the abnormal cells from

the normal cells.

Image Retargeting Quality Assessment"; A Backward Registration Approach

Sheikh Samrah Mohammad Naeem, A.S.Shirsat

[email protected]


ABSTRACT

This paper demonstrate the result of a recent large-scale subjective study of image retargeting quality on a

gathering of images produced by several representative image retargeting methods. The image retargeting

operators can be broadly categorized into two types: discrete and continuous approaches. In this paper,

the method explains the image retargeting in a unified system of resampling system period and forward

resampling. This paper creates the impression that the geometric change estimation is a productive

approach to clear up the relationship between the images. This paper gives a unified interpretation of

image retargeting and shows that the geometric change estimation is an efficient way to clarify the

relationship between the original and retargeted images. This paper formulates the geometric change

estimation as a backward registration issue with the MRF and gives a reasonable and viable arrangement.

Under the geometric change guidance this paper develops a novel ARS metric, which is effective method

and outperforms the other existing techniques on freely accessible datasets. Experimental result is the

image fusion.


Video stabilization based on robust mesh grid warping

Ghorpade Himali Babanrao, Dr. S K Jagtap

[email protected]


ABSTRACT

Videos acquired by handheld cameras undergo unwanted motions and also undesirable exposures and

white balance changes between successive frames of videos. This causes degradation of the visual quality

of video. Hence video stabilization is an important technology to remove annoying shaky motions from

handheld videos. Thus a video stabilization method is proposed to get rid of these unwanted camera

motions. Here video stabilization includes extraction and matching of features, tracking features by KLT

tracker and then smoothing the trajectories of the extracted features and finally we apply robust mesh grid

warping algorithm to stabilize the shaky video. Experimental results are provided and stabilization

achieved is validated using quantitative measures Root Mean Square Error (RMSE), Peak Signal to Noise

Ratio (PSNR), Structural Similarity Index(SSIM).These satisfactory experimental results demonstrate the

effectiveness and robustness of proposed method.

digital video denoising using transform domain techniques

Lina Hanumantrao Desale, Prof.S.B. Borse

[email protected]


ABSTRACT

Digital images play an important role both in daily life applications such as satellite television, magnetic

resonance imaging, computer tomography as well as in areas of research and technology such as

geographical information systems and astronomy. Data sets collected by image sensors are generally

contaminated by noise. Furthermore, noise can be introduced by transmission errors and compression.

Thus, denoising is often a necessary and the first step to be taken before the images data is analyzed. It is

necessary to apply an efficient denoising technique to compensate for such data corruption.

Image Denoising has remained a fundamental problem in the field of image processing. Wavelets give a

superior performance in image denoising due to properties such as sparsity and multiresolution structure.

With Wavelet Transform gaining popularity in the last two decades various algorithms for denoising in

wavelet domain were introduced. Data adaptive thresholds were introduced to achieve optimum value of

threshold. Later efforts found that substantial improvements in perceptual quality could be obtained by

translation invariant methods based on thresholding of an Undecimated Wavelet Transform. These

thresholding techniques were applied to the nonorthogonal wavelet coefficients to reduce artifacts.

Multiwavelets were also used to achieve similar results. Probabilistic models using the statistical


properties of the wavelet coefficient seemed to outperform the thresholding techniques and gained

ground. Recently, much effort has been devoted to Bayesian denoising in Wavelet domain. Hidden

Markov Models and Gaussian Scale Mixtures have also become popular and more research continues to

be published. Tree Structures ordering the wavelet coefficients based on their magnitude, scale and spatial

location have been researched. Data adaptive transforms such as Independent Component Analysis (ICA)

have been explored for sparse shrinkage. The trend continues to focus on using different statistical models

to model the statistical properties of the wavelet coefficients and its neighbors. Future trend will be

towards finding more accurate probabilistic models for the distribution of non-orthogonal wavelet

coefficients.

A Deep Learning Model For Image Classification

Aparna R. Rout, Prof. (Dr.) Sahebrao B. Bagal

[email protected]


ABSTRACT

In Image classification we classify image into one of the predefined classes. In conventional way, people

use different computer vision techniques to extract features from images and different machine learning

algorithms use these extracted features to classify the images .It had become very difficult task to classify

the images into interpretative classes. Apart from various learning algorithms the accuracy and

performance of the model mostly depends on the trained dataset and the algorithm used. In this paper we

had proposed a system to classify the scenery images into different groups of sunset, desert, mountains,

trees and sea. In this paper the current approach for image classification make essential use of machine

learning methods. We focus on deep learning techniques for feature extraction and classification of

images. In this project, we propose a model which does not require creating multiple binary models

instead it has single model which predicted the probabilities of different labels and had used these

probabilistic threshold values for respective label to convert those probabilities into presence and absence

of class/label.

Smart visual surveillance system.

Wagh Hemraj Suresh., Prof. Mrs. K. J. Mahajan

[email protected]


ABSTRACT

Even though human is arguably the most intelligent creatures in this world, there are still some

shortcomings in the existing solution. In addition, the reason increased adaptationof security cameras to


survey public areas has caused a digital data explosion that human operators have difficulty to keep up

with. Because of these shortcomings, humans keep inventing new discoveries to make the best of it. In

order to support this surveillance system,a recognition and tracking system is built in this project to detect

an abandoned luggage in the public transportation area such as train stations and airports.

Presenting a new framework for smart threat detection with the help of video surveillance which captures

live streaming from the camera and determine if any abandoned object has been set up. It then raises an

alarm right after the carrier of the bag leaves the scene.The abandoned object is detected with the help of

background subtraction and brought more accuracy on the objects image with the help of morphology.

Every individual person on theframe is being detected by their body with the help of Kalman filter and

brought relation of the body with the bag, so that the alarm is raised only when the body of the abandoned

object carrier leaves the frame.

Electroencephalogram (EEG) based Decision Support System

Miss. Rohini Sudam Darade, Prof. Seema R. Baji

[email protected]


ABSTRACT

The human brain is a multifarious system, and exhibits rich spatiotemporal dynamics. Among the

noninvasive techniques for probing human brain dynamics, electroencephalography (EEG) provides a

direct measure of cortical activity with millisecond temporal resolution. Electroencephalogram is a signal

generated in human brain when there is an information flow among several neurons. Human brain

contains millions of neurons which are responsible for information flow. We have classified the

publically available dataset for testing between normal and epileptic persons. We have achieved accuracy

of 99.88% which is highest accuracy on this dataset.

A Churner Dipole for Wideband Applications

Shrikant S Sonawane, Prof. L.K.Chouthmol

[email protected]


ABSTRACT

Abstract- A novel concept of wideband dipole of churner shape with an omnidirectional radiation pattern

is presented. The proposed antenna comprises of four groups of elliptical discs crossed in the center. The

idea is to broaden the working bandwidth by modifying the shape of discs. The antenna achieves a good

impedance match from 2.8 GHz to 28 GHz with S11 lower than -10 dB. The proposed antenna is highly

suitable for various wideband applications.


SALIENCY DETECTION VIA GRAPH-BASED MANIFOLD RANKING

FOR TRAFFIC SIGN DETECTION

Chavan Namrata Chavan, Prof.M.S.Borse

[email protected]


ABSTRACT

Most bottomup methods measure the foreground saliency of a pixel or region based on its contrast within

local context or entire image,few methods focus on segmenting out background regions and salient

objects. Instead of considering the contrast between salient objects like traffic sign and their surrounding

regions, we consider both foreground and background cues in a different way. We rank the similarity of

image elements with foreground or background cues via graph-based manifold ranking.Saliency of the

image elements is based on their relevances to seeds or queries.Traffic sign image as a close-loop graph

with superpixels as nodes.These nodes are ranked based on similarity to background and foreground

queries, based on affinity matrices. Saliency detection for traffic sign is carried out in a two-stage scheme

to extract background or foreground salient objects efficiently. Experimental demonstrate proposed

method performs well when against state-of-the-art methods in terms of accuracy and speed.

Lung Cancer Cell Detection Using Modified Log-Gabor Filter Based Features

Rupali Raghunath Mali, Mr S.B. Bagal

[email protected]


ABSTRACT

The early detection of the lung cancer is a challenging problem, due to the structure of the cancer cells.

Lung Cancer can be summarized by evaluating region of interest using maximum entropy and supervised

learning. Now a day lung cancer is the leading cancer among both men and women. Earlier detection of

cancer is the only method to improve the survival rate. Presence of lung cancer can be diagnosed with the

help of a CT image of lung. Doctor analyses the CT image and predicts the presence of cancer. So a

computerized method for cancer detection is needed. Image processing technique can be used for this

purpose. Lung cancer detection system can be developed by using these image processing techniques.

Lung cancer detection system has three steps to detect the presence of cancer nodule in lung. Pre-

processing stage, feature extraction stage and lung cancer cell identification are the steps.


Elevator Control System Based on IOT

Sakhare Akshay Dattatray, Prof.Dr.P.P.Mane

[email protected]

MES College of Engineering, Pune [032]

ABSTRACT

Abstract â€” The goods elevators are widely used in industrial areas; so in this system we design elevator

running parameter monitoring system based on Raspberry PI and combining with the concept and features

of IoT. To the best of our knowledge, this technology is first time used for the industrial purpose. In this

system, we have introduced a new concept to design a smart goods lift which can be used to detect

various fault conditions and also to communicate with a lift server to intimate the Lift faults. An android

app which will include the GUI to display the various faults of lift is used here.

Conjuntival vasculature based on Multiscale Multidirectional operator for

Human Recognition

Bhokare Vrushali Pravin, Prof. S. N. Dharwadkar

[email protected]


ABSTRACT

Abstractâ€”In this paper, there is new part of the eye (sclera part of the eye) exposed as biometric or

physical trait in biometric literature. Here, we deal with study of sclera region recognition by using ocular

biometric modality for security, identification purpose, etc. In this paper, we used Conjunctival

vasculature for authentication purpose. A biometric modality is increase rate of acceptance of visible

white part of eye pattern, which is unique and accessible in visible spectrum. In feature extraction,

multiscale multidirectional shear operator is used. Distance metrics are used for classification. And for

performance of classification, we are used ROC AUC analysis. In this paper, UBIRIS-V2 database and

In-house database are used. Keywordsâ€” UBIRIS-V2 Database, Conjunctival vasculature, shearlet

Transform, Ocular biometrics, Distance metrics.

Non-Invasive Diagnostic Device using PPG

Das Sandipa Anup, Prof. R. S. Kadam

[email protected]



ABSTRACT

Abstract--This paper deals with the implementation of non-invasive method of measurement of various

parameters to assist a physician in the detection of diseases related to heart or diabetis. This is done by

measuring the pulse count from the blood flow in the finger by using photoplethysmography.

Photoplethysmogram (PPG) is an optically obtained plethysmogram. It uses infrared light to measure the

blood volumetric changes occurring in the various parts of the body. It is non-invasive, inexpensive, and

is one of the the most widely used variety of optical sensors. PPG signal works on the information

obtained from cardio-pulmonary system. This paper describes the various types of plethysmography

signal, the characteristic features of the PPG waveform, and finally the algorithm to measure the various

parameters to diagnose diseases using the PPG signal

Keywordsâ€” Photoplethysmography (PPG), PPG signal, diseases, raspberry-pi.

ANALYSIS AND SYNTHESIS OF FLUTE NOTES USING RASPBERRY PI

Gawade Rupa Sampat, Prof. A. A. Dhavlikar

[email protected]


ABSTRACT

ABSTRACT - Electronics Flute notes can be synthesized with given parameters such as amplitude,

frequency, phase, spectral centroid, spectral flux, and spectral roll-off for each harmonic. In this paper we

present results of Fourier analysis of basic seven notes of Indian flute (Bansuri). Spectral analysis is also

incorporated here for calculation of spectral centroid, roll=off, and flux of these notes. These parameters

can be efficiently used in additive and frequency modulation synthesis method of electronic music

generation using raspberry pi with python scripting.

Keywordsâ€” FFT analysis, feature extraction, flute musical notes, Electronic flute

Development of an Algorithm for Image Super Resolution based on Cepstral

Analysis

Jagtap Vallabh Vilas, Prof. P. B. Chopade

[email protected]


ABSTRACT

Abstract : In this paper, the authors propose an image super resolution algorithm based on cepstral

analysis. The multiple low resolution images are registered by calculating the shifts in the cepstral


domain. These multiple low resolution images are projected onto a high resolution grid to generate a new

high resolution image. The projection of low resolution image causes blurring and jaggy edges in the high

resolution image. With the help of cepstral analysis the shaken length(N) and shaken angle(Î¸) are

calculated for the high resolution image. The point spread function is designed using the above

parameters. To deblur and regularise the high resolution image, weiner filtering is done using the

designed PSF. The visual results show the superiority of the proposed algorithm over the conventional

interpolation methods and state of art super resolution techniques.

Keywordsâ€” Image super resolution, Cepstrum, Image registration, Image Deblurring and

Regularisation

Recognition of Partial Fingerprints with Parallel Division Method and

Wavelet Transform

Manoli Hrushikesh Girish, Dr. K.S. Tiwari

[email protected]


ABSTRACT

Abstractâ€” There are many methods available for the recognition of fingerprints. But it is observed that,

at times it becomes necessary to deal with partial fingerprints in cases such as when fingerprints are

overlapped and hence not available completely. Also in case of people who do rigorous work with hands

like carpentry which can swab their fingerprints due to injuries. This may also happen in case if the

fingerprint itself is not properly acquired. Hence, in this paper, a method of â€˜Parallel Division’ is

proposed which uses the well known Wavelet Transform method to recognize fingerprint. The method

first trains the system by creating templates of fingerprints in the database. After that the system compares

the fingerprint image under test with these database templates. The algorithm was implemented on FVC

2002 database and found to have an accuracy of 81.87 percent. The average time for execution is found to

be 4.9178 second.

Keywordsâ€” Recognition of Partial Fingerprint, Parallel Division, Wavelet Transform.

Heart Rate Measurement And Analysis Using Face And Wrist Video

Pansare Pallavi Genu, Dr. M. P. Dale

[email protected]


ABSTRACT


Abstractâ€” A non-contact and less expensive method for heart rate measurement which gives accurate

results need to be developed. One such method can implemented by processing the subject’s face and

wrist video using image processing techniques. Minute movements on the wrist near the radial artery and

slight skin color changes are due to the blood flow variation which are proportional to the heart rate.

These variations are invisible to naked eye. They are captured and made visible through a technique

called Eulerian Video Magnification. Spatial decomposition is applied followed by temporal processing

and amplification to the input video sequence. Output video consists of visible changes of small

amplitude motion and color variations. Heart rate can be extracted from this magnified video by

considering region of interest on the face and wrist. The heart rate value obtained is then compared with

the reading of heart rate measuring device.

Keywordsâ€”Eulerian video magnification, spatial decomposition, temporal processing.

Significant Comparative study between Partial Transmit Sequence and

Selected Mapping Scheme for PAPR reduction in OFDM Systems

Thorat Mrunmayee Nandkishor, Prof. P. N. Kota

[email protected]


ABSTRACT

Abstractâ€” Orthogonal Frequency Division Multiplexing (OFDM) is the important technology in all

communication systems and standards. This technology is favorable for the broadband wireless 4G

communication system. OFDM has popular drawback of peak to average power ratio (PAPR) which

affects multicarrier transmission systems. This study paper gives the significant knowledge about

different techniques which are used to reduce the PAPR from OFDM signal. Selected mapping (SLM)

and Partial Transmit Sequences (PTS) are most influential among all the techniques and are less distortion

techniques for OFDM. Selected Mapping is effective scheme when the large number of subcarriers is

used.

Keywords: Selective Mapping (SLM), Partial Transmit Sequences (PTS), Orthogonal Frequency Division

Multiplexing (OFDM), Peak to Average Power Ratio (PAPR), Bit Error Rate (BER).Keywordsâ€”

Recognition of Partial Fingerprint, Parallel Division, Wavelet Transform

Center Symmetric Local Binary Pattern based Signatures for Near Duplicate

Image Identification

Landge Amruta Kaluram, Prof.Dr.P.P.Mane

[email protected]



ABSTRACT

Abstractâ€” Ubiquitous distribution of digital data and expansion of digital pictures on account of Internet

has surged issues related with copyright intrusion on digital pictures. Distinguishing close copy pictures

(near duplicate images) plays indispensable part in a few applications, for example, postal mechanization,

computerized library, copyright security and others. Near duplicate image identification is the method of

finding somewhat changed pictures to their original versions. This method aids the location of forged and

redundant pictures. A lot of exertion has been committed to visual applications that require proficient

similitude measurements and image signature. Digital images can be basically edited and altered due to

extensive functionality offered by image processing software. This prompts the test of identification of

modified pictures to their unique forms, which is known as near duplicate image identification. In this

paper close copy pictures are identified with the help of signatures that are framed utilizing center

symmetric local binary pattern i.e. CSLBP. These signatures are extracted from pictures utilizing patch

based approach. Similitude between two pictures is registered by contrasting these signatures with the

help of Earth mover's distance and Chi-square distance. Patch based approach utilize CSLBP visual

descriptor for signature creation. With a specific end goal to register the closeness between signatures of

two pictures, the Earth Mover's Distance is utilized, which emerges for its astounding capability in taking

care of variable-length signatures. Keywordsâ€”near duplicate images, near duplicate image retrieval

Parallel Computing to Enhance The Speed of Descriptor Extraction In

Database Application

Pawar Megha Yuvaraj, Prof.Dr.P.P.Mane

[email protected]


ABSTRACT

Abstractâ€”The idea of "Utilizing more than one calculation implies for taking care of certain tedious

issues" appears to be all the more interesting and viable. Be that as it may, synchronization among

Multiple calculation assets and smart work dissemination among them put significant difficulties on

framework architect. This work introduces various low-level schedules and their information parallel

execution for Image preparing applications. Work varies from their work on information parallel picture

handling, as center is expansive and succinct and not simply constrained to information parallel picture

preparing. Investigation of parallel and circulated picture handling with far reaching subtle elements, so it

turns out to be exceptionally helpful to learners and to the individuals who are new to parallel or

disseminated picture preparing field. Our targets in this venture are as taking after. Investigate the parallel

and dispersed picture handling in succinct and basic way. Use off parallel figuring for the substantial

database include extraction applications.

Keywordsâ€”Parallel computing tool, Color coherence vector, Color Histogram, Local binary pattern


DESIGN AND IMPLEMENTATION OF WIDE BAND-GAP SLOT

FRACTAL UNIPLANAR COMPACT ELECTROMAGNETIC BANDGAP

(UC-EBG) STRUCTURE FOR MICROWAVE APPLICATIONS

Jidnyasa Chetan Patil, Prof.Mrs.M.S.Kanitkar

[email protected]

MIT PUNE [002]

ABSTRACT

A wide bandgap slot fractal uniplanar compact electromagnetic bandgap (UC-EBG) structure is designed

which is based on third iteration of moore space filling geometry(MSF-UC-EBG).By changing the

dimensions of the EBG structure and the substrate materials, two bandgaps of 1.43-214.9MHz-489.5MHz

is achieved. Both EBG structures (FR4_EBG) is simulated using High Frequency structure Simulator

(HFSS) or Computer Simulation Technology (CST), fabricated and measured. Furthermore, the

FR4_EBGs are integrated with a coplanar waveguide (CPW) fed stepped-impedance resonator (SIR)

antenna to research MSF-UC-EBG’s microwave application. After integration, bandwidth performance of

SIR antenna is significantly improved. Also compared measured bandwidth of SIR antenna with and

without FR4_EBG.The proposed MSF-UC-EBG can be easily integrated with low frequency applications

such as GSM, PCS, Bluetooth, Wi-max, and Wi-Fi.

In our project, we are going to design antenna for microwave application and improve the

performance parameters like bandwidth, radiation pattern, gain, directivity and VSWR by using EBG

structure. We will convert this antenna into reconfigurable antenna by using switch (p-i-n diode or RF-

MEMS). We will simulate the antenna by using High Frequency structure Simulator (HFSS) or Computer

Simulation Technology (CST), fabricated and measure the results of antenna structure and see the

performance of the parameters.

Lung cancer cell Detection Using Modified Log-gabor filter based features

Ms.Rupali Raghunath Mali, Mr.S.B.Bagal

[email protected]

MIT PUNE [002]

ABSTRACT

The early detection of the lung cancer is a challenging problem, due to the structure of the cancer cells.Â

Lung Cancer can be summarized by evaluating region of interest using maximum entropy and supervised

learning. Now a day lung cancer is the leading cancer among both men and women. Earlier detection of

cancer is the only method to improve the survival rate. Presence of lung cancer can be diagnosed with the

help of a CT image of lung. Doctor analyses the CT image and predicts the presence of cancer. So a

computerized method for cancer detection is needed. Image processing technique can be used for this

purpose. Lung cancer detection system can be developed by using these image processing techniques.


Lung cancer detection system has three steps to detect the presence of cancer nodule in lung. Pre-

processing stage, feature extraction stage and lung cancer cell identification are the steps.

Lung cancer cell Detection Using Modified Log-gabor filter based features

Ms.Rupali Raghunath Mali, Mr.S.B.Bagal

[email protected]

MIT PUNE [002]

ABSTRACT

The early detection of the lung cancer is a challenging problem, due to the structure of the cancer

cells.Ã‚Â Lung Cancer can be summarized by evaluating region of interest using maximum entropy and

supervised learning. Now a day lung cancer is the leading cancer among both men and women. Earlier

detection of cancer is the only method to improve the survival rate. Presence of lung cancer can be

diagnosed with the help of a CT image of lung. Doctor analyses the CT image and predicts the presence

of cancer. So a computerized method for cancer detection is needed. Image processing technique can be

used for this purpose. Lung cancer detection system can be developed by using these image processing

techniques. Lung cancer detection system has three steps to detect the presence of cancer nodule in lung.

Pre-processing stage, feature extraction stage and lung cancer cell identification are the steps.

Comparative study of different classifiers for Alzheimer’s disease

Namrata Shirish Sasane, Mrs. R.S. Kamathe

[email protected]

PES'S MODERN COE, PUNE [31]

ABSTRACT

Abnormality detection in Magnetic Resonance (MR) brain images is a challenging task. The difficulty in

brain image analysis is mainly due to the requirement of detection techniques with high accuracy within

quick convergence time. An early and accurate detection of Alzheimer’s disease (AD) is an important

stage in the treatment of individuals suffering from AD. For that distinguish between Normal controls

(NC), Mild Cognitive Impairment (MCI) and AD patient is necessary. With manual techniques for

identifying the presence of Alzheimer’s disease through brain MRI is too expensive and time consuming.

Therefore the entire work is towards the development of computer aided diagnostic tool for Alzheimer’s

disease classification. The image classification technique is able to give the information about presence of

abnormality in the input brain image which is used in this project work to detect the Alzheimer’s

disease.The main objective of this project work is to differentiate the different abnormal brain images

based on the optimal feature set. For experimentation Open Access Series Of Imaging Studies (OASIS)

with patient diagnosed with NC, MCI and AD is used. The project has 3 models which classify MRI


images: 1) AD vs. MCI 2)AD vs. NC 3)MCI vs. NC .Initially optimum features are extracted and selected

with Gray Level Co-Occurrence Matrix(GLCM) and without GLCM.The results are applied to k-NN

classification technique and performance is evaluated. Then performance of this classification is

improved using ADABOOST classifier. This system got 100% classification accuracy using

ADABOOST classifier. The obtained classification results are verified from the Radiologist that assures

the correct classification of various stages of Alzheimer’s disease.

Support vector machine based Intrusion detection System with Hybrid

Swarm Intelligence

Charusheela Pandurang Kamble, Mrs. D.P. Adhaypak

[email protected]


ABSTRACT

Intrusion Detection System (IDS) takes an important role in network security as it detects various types of

attacks in the network. Intrusion detection is the detecting of actions that attempt to compromise the

integrity, confidentiality or availability of natural resources on the network. In case of an intrusion, an

IDS (Intrusion Detection System) detects it as soon as possible and takes appropriate action. Swarm

intelligence and machine learning techniques (SVM) were used to build different Intrusion Detection

System .The Swarm Intelligence approaches are used to solve complicated problems by multiple simple

agents without centralized control. The Swarm intelligence (Modified Artificial Bee Colony with

Enhanced Particle Swarm Optimization) algorithms can be used for optimizing the parameters of the

SVM classifier. Support vector machine has been employed to provide potential solutions for IDS.

Support vector machines are supervised learning models with associated learning algorithm that analyse

data used for classification. A hybrid algorithm is implemented to integrate Modified Artificial Bee

Colony (MABC) with Enhanced Particle Swarm Optimization (EPSO) to predict the intrusion detection

problem. The performance metrics like accuracy, sensitivity, false alarm rate, and training time are

recorded for the intrusion detection dataset on applying the proposed MABC-PSO classification

algorithm.

: Dynamic Deployment of Sensors using Virtual Forces-directed Co-

Evolutionary Particle Swarm Optimization Method (VFCPSO)

Abha Jain, Mrs. A.P. Laturkar

[email protected]


ABSTRACT


Wireless sensor networks (WSN) are the most active research areas due to the bright and promising future

of information technology. This group consists of low-cost, low-power, multifunctional and small size

wireless nodes working together to sense the environment, performing simple data processing and

communicating wirelessly over a short distance. The effectiveness of WSNs depends on coverage and

target detection probability. Many coverage strategies like force based (Virtual Forces Algorithm), Grid-

Based (triangular lattice, hexagon and square grid) and computational geometry based (Voronoi and

Delaunay triangulation) have been proposed. Another method is the Particle Swarm Optimization method

(PSO) which is a class of evolutionary algorithms and is a promising approach to solve complex

constrained optimization problems. The growing demand for coverage optimization forces us to shift the

focus towards hybrid algorithms which combine more than one of the above mentioned approaches. This

project tries to implement Coverage Optimization by using an algorithm called Virtual Force-directed Co-

evolutionary Particle Swarm Optimization (VFCPSO) which follows from the Virtual Forces Algorithm

and the Co-evolutionary PSO. This algorithm offers the flexibility to work with a network having

combination of homogeneous and heterogeneous sensors, as well as stationary and mobile sensors. The

VFCPSO predicts better dynamic deployment with better global searching capabilities and better regional

convergence abilities. The project aims to implement and compare the results of VFA, PSO, VFPSO and

VFCPSO. A significant improvement in effective coverage area and a significant reduction in average

computation time are expected.

Multiple Hypothesis Image Segmentation and Classification in Application

with Dietary Assessment

Akshada Anant Gade, Dr. Mrs. A. J. Vyavahare

[email protected]


ABSTRACT

The project proposes a method for dietary assessment to automatically identify and locate food in a

variety of images by recognition of food type and volume estimation is done for calorie and nutrition

intake.

Two concepts are combined and used to achieve aim of the project:

1. A set of segmented objects can be partitioned into perceptually similar object classes based on

global and local features in order to provide a complete description of objects and used to assess the

accuracy of image segmentation.

2. By using visual parameters such as texture, colour find out fresh food and provide an accurate

account of daily food intake.

These ideas are implemented by generating multiple segmentations of an image its color features and

texture features extracted using GLCM matrix approach. To select stable segmentations based on the

classifier decision and classiï¬•ers conï¬•dence score assigned to each segmented image region also we

can increase the classiï¬•cation rates for each individual classiï¬•er. Automatic segmented regions are

classiï¬•ed using a multichannel feature classiï¬•cation system. For each segmented region, multiple


feature spaces are formed. Feature vectors in each of the feature spaces are individually classiï¬•ed. The

ï¬•nal result is obtained by combining class decisions from individual feature spaces using decision

rules. The project shows improved accuracy of segmenting food images with classiï¬•er feedback.

Volume estimation is done to calculate portion of the food and by using the look-up table approach each

food objects is corresponding to a pre-determined amount of food calories, also have incorporated

algorithmic work to calculate precisely the amount of calories based on different variables such as food

size, color, and shape. Overall this method can be integrated into an image-based dietary assessment

system for better assessment of dietary intake for professional dieticians and researchers.

Design Blind spot detecting car with Accident, drowsiness detection & alert

system by using lab view

Tejal Thakre, Mrs. V.P.Kodgirwar

[email protected]


ABSTRACT

The blind spot detecting is, the vehicle surrounding monitoring system with multiple channel high-

definition (HD) videos, which is embedded in portable navigation devices, is presented. The system

collects three channel video inputs from rear, left, and right side of the vehicle, transforms each inputs

into top-view image, respectively. Finally, the transformed outputs are aligned, and then displayed on the

screen for assisting the driver. Implementation and its results showed that the system provides HD vehicle

surrounding monitoring video which is helpful especially in parking assistance. They have used camera

and doing video processing in which they are checking whether there is vehicle in the vision and then

they are processing on the vehicle speed whether it is going to be problematic if our vehicle is changing

lane and as per that giving alert.

In our project we are going to use Ultrasonic sensors as image processing will take more time for

processing than sensor processing. We are going to check whether there is vehicle in the sensor range or

not. If it’s their immediate alert will be given to the driver that from which side there is chance of crash if

we try to change lane.

In addition we are implementing a safety system in the vehicle which will detect the accident of the

vehicle. And if accident is detected then immediately vehicles location will be sent to the number so that

family members and Ambulance service provider will come to know about accident and both can take

proper action.

We are also implementing a system which gives drowsiness alert. If drivers eyes are closed more than 5

seconds. For this we are going to use image processing by using drives retina. If driver’s eyes closed more

than particular time it will give alert immediately.


IMPLEMENTATION OF BM3D MRI DENOISING EQUIPPED WITH

NOISE INVALIDATION DENOISING TECHNIQUE USING FPGA

Snehal Shivaji Kothawale, Mrs. V. V. Hanchate

[email protected]


ABSTRACT

Image denoising has become an essential exercise in medical imaging especially the Magnetic Resonance

Imaging (MRI). Magnetic Resonance Images (MRI) are widely used for diagnosis and the treatment of

brain tumours. It is the most powerful imaging technique developed to study the structural features and

the functional characteristics of the internal body parts. In the proposed method, Block matching and 3D

filtering (BM3D) technique is used for MRI denoising. Steps used in BM3D are Nonlocal approach, 3D

wavelet shrinkage and 3D Wiener filtering. BM3D is an improved version of NLM filtering that groups

similar patches in 3D stacks, transforms them in another domain, shrinks the coefficients and returns them

into the original domain by inverse transformation. In this method, Noise Invalidation Denoising (NIDe)

is used instead of hard thresholding. This new approach provides the optimum wavelet threshold

automatically based on the data and noise characteristics and adaptive to the statistical characteristics of

data. Combining BM3D technique with Variance Stabilization Transformation (VST) provided an

efficient MR image denoising approach. Variance Stabilization Transform (VST) removes the

dependency of the noise variance on the MRI image intensities before denoising. Performance metrics

such as peak signal to noise ratio (PSNR), mean square error (MSE) and structural similarity index

(SSIM) are find out for T1, T2 and PD weighted MR images. An algorithm was designed and developed

using verilog HDL language. This algorithm was implemented using FPGA, which can reduce processing

time considerably.

Content based Image Retrieval using Multiview Alignment Hashing

Bhagyodaya Rajendra Jadhav, Prof. M.U. Inamdar

[email protected]

SIDDHANT COE, SUDUMBARE [044]

ABSTRACT

In this paper, content based image retrieval is implemented using multiview hashing techniques. The

implementation consists of three steps preprocessing, features extraction, classification. Preprocessing

step consists of color to gray conversion and histogram equalization, feature extraction consist of

Histogram of Oriented gradients (HOG) for shape detection, Local Binary pattern (LBP) for texture

description and color histogram for color similarity. Hashing is a simple, popular and efficient method for

nearest neighbor search in large-scale data spaces by high-dimensional feature descriptors into a

similarity preserving Hamming space with a low dimension.


Detection of Particles from Particle Cluster Using Circular Hough Transform

Arora Mayur Gyanswarup, Dr.Mrs. S. S. Lokhande

[email protected]


ABSTRACT

Particle size analysis is one of the most demanding tasks in material science and technology. Detection of

size and shape of particles is important for gaining information about better control over the quality of the

product. Particle size is a critical process parameter in pharmaceutical production, which highly affect

physicochemical and biopharmaceutical properties of drug substances and dosage forms. Detection of the

particle present in the agglomerated particle cluster is one of the major challenge in controlling the size of

particle. Image processing techniques provides effective analysis of size and shape features of

pharmaceutical drug particles by segregating occluding particles. This paper presents Circular Hough

Transform based detection technique, which collects the contributions, or votes, from the edge pixels for

an accumulator describing the parameter space (or sometimes called the Hough space) which represents

the circle’s center. Then, circles are extracted by finding the local maxima of the parameter space. In this

paper, the Circular Hough Transform based detection technique is applied on different pharmaceutical

laboratory microscopic images in order to effectively achieve parameters such as particle number, area,

size, roundness and size distribution, etc.

Keyword: Image Processing, Circular Hough Transform, Morphology, Size Analysis, Particles Counting.

Multiple Sensor Fusion and Classification for Moving Object Detection and

Tracking.

Avachar Shubham Vijay, Dr.S.D.Lokhande

[email protected]


ABSTRACT

The prÃ©cised detection and classification of moving objects is a important aspect of advanced driver

assistance systems. By including the object classification from multiple sensor detections as a major

component of the object’s representation and the perception process, we can improve the perceived model

of the environment. At first, we define a composite object representation to include information in the

main object’s description. At Second, we propose a complete perception fusion architecture based on the

framework to solve the detection and tracking of moving objects problem by adding the composite

representation and uncertainty events management. At last, we integrate our fusion approach in a real-

time application inside a vehicle demonstrator which includes main sensors: radar and camera. We test

our fusion system using real data from different driving scenarios and more focusing on four objects of

interest: like pedestrian,truck and other vehicles.


Patient Monitoring System Using Image Processing

Binu K Nair, Dr. Mrs. S. S.Lokhande

[email protected]


ABSTRACT

Respiratory disease is a medical term that encompasses pathological conditions affecting the organs and

tissues which makes gas exchange possible in organism and includes condition of the respiratory tract.

Heart rate is the speed of heartbeat measured by the number of contraction of the heart per

minute(bpm).According to the physical body of a human being, the heart rate may vary person to

person.One of the respiratory disease called severe acute respiratory syndrome(SARS) which spreads

around the world in 2003.Therfore, many interational airport quarantine station launched a system to

detect infected passengers using CMOS-IR camera for preventing global pandemics. A method for non

contact measurement of multiple vital signs i.e respiratory rate & heart rates based on thermal/RGB image

processing with CMOS-IR camera is proposed. Monitoring the periodic temperature changes of thermal

changes at nasal area can calculate respiratory rate .Heart rate is measured by capturing the brightness

variations of RGB facial images by fluctuations in skin blood flow .This non-contact method is assumed

to be essential in preventing and controlling the transmission of infectious disease.

Keywords:- Thermal image processing; non-contact; infection screening; vital signs

Detection of Diabetic Macular Edema in Retinal Images

Snehal Rajendra Gawande, Prof. S. B. Patil

[email protected]


ABSTRACT

Macular edema is an advance stage of diabetic retinopathy which affects central vision of diabetes

patients. The main cause of edema is the appearance of exudates near or on macular region in human

retina. Early detection of Diabetic retinopathy is very important for saving vision impairment and for

effective treatment. An automated system for early detection of macular edema is proposed. The method

has been proposed to detect the macula centre which is independent of optic disc location. In this method

search region for detection of macula is adaptive to the size of image. Independency from optic disc

detection to detect the macula is an efficient method because it is unaffected by wrong detection of optic

disc position under the presence of noises and reflections. The proposed method is tested on different

retinal images and achieves probable accuracy.

Keywords : Diabetic macular edema, Macula Detection, Hard exudates, severity of DME.


Image Processing Applications For Malaria Diagnosis

Chaitanya Godse Laxman, Dr. Mr. V. V. Dixit

[email protected]


ABSTRACT

Malaria which is caused by Plasmodium parasite is one of the diseases that can cause death in patients.

Detection of plasmodium parasites on the Red Blood Cell (RBC) image can help diagnose malaria

quickly and accurately, especially in the areas that lacked medical expertise. This research proposes a

detection method of plasmodium parasite at RBC using double thresholding for improving accuracy of

detection. Classification obtained by SVM will achieve better accuracy than conventional methods. Image

segmentation is the process of dividing an image into multiple parts. There are many different ways to

perform image segmentation, including: Thresholding methods such as Otsu’s method, Color-based

Segmentation such as K-means clustering etc. The method detects the blood components such as the Red

Blood Cells (RBCs), White Blood Cells (WBCs), and identifies the parasites in the infected RBCs. The

application also recognizes the different life stages of the parasites and calculates the parasitemia which is

a measure of the extent of infection. The method used by human operators to analyze blood smear image

as well as the corresponding image processing algorithm are summarized.

Keyword: Support Vector Machines(SVM) classification,Detection of plasmodium parasites,Double

thresholding,Image segmentation ,Image processing algorithm

Smartphone based wound assessment system for Diabetes Patient.

Karwa Shubham Ajay, Dr. V.V.Dixit

[email protected]


ABSTRACT

Diabetic foot ulcer is regarded as a significant health issue. Nowadays, clinicians and nurses mainly base

their wound assessment on visual examination of wound size and healing status, and the patients

themselves rarely have an opportunity to play an active role. Therefore, a more quantitative and cost-

effective examination method that allows the patients and their carer to take a more active role in daily

wound care potentially can speed up wound healing, save travel time and cost and reduce healthcare

expenses. Assessing wounds by analyzing images of chronic foot ulcers is a very good option with the

prevalence of smartphone with a high resolution digital camera. After that, the wound segmentation is

performed using color segmentation. Specifically, the wound boundary is found using color feature

extraction while the outline of the foot is determined based on skin color. The healing status within the


wound boundary is next assessed based on red-yellow-black color evaluation model. Here we are using

the Normalized minimum distance classifier for classifying the output to get the best results.

Keyword: Diabetes, segmentation, red-yellow-black color model, Normalised minimum distance

Classifier.

Classification of initial stages of Alzheimer’s disease using structural MRI

images

Kamble Shweta Sukhadeo, Dr. V.V.Dixit

[email protected]


ABSTRACT

Alzheimer’s disease (AD) is the most well-known sort of dementia, it is a neurodegenerative disease. The

visible symptoms of the Alzheimer’s disease appear after age of 60. Alzheimer’s disease destroys the

person’s thinking skills, intellectual abilities and memory. This seminar represents the method in which

the early stages of Alzheimer’s disease are classified using the LVQ (Learning Vector Quantiser). The

initial stages are represented as NC (Normal Controls), MCI (Mild Cognitive Impairment) and AD

(Alzheimer’s disease). This classifier classifies the initial stages of Alzheimer’s disease using the

structural phase MRI images. Using the structural MRI phase images the useful features of the MRI scans

ROI (Region of Interest) are extracted using ICA (Independent Component Analysis) technique hence the

classification becomes easier and less time consuming. The results obtained shows the accuracy of this

technique is high.

Keyword: LVQ, Biomedical image processing; Statistical learning; Feature extraction; Classification

algorithms; Independent component analysis; Support vector machines.

Direction of Arrival Estimation for Closely Spaced Signals

Kale Nilesh Bhagwan, Prof. D. G. Ganage

[email protected]


ABSTRACT

High resolution direction of arrival estimation algorithms based on the subspace decomposition received

considerable attention while rarely used in the practical applications. The reasons is its difficulty to

resolve closely spaced signals in low signal-to-noise ratio (SNR). For applications of closely spaced

signals within a priori known angle range, we filter the spectrum in direction domain to improve the SNR

of signals on array sensors and reconstruct the covariance matrix with which Multiple signal classification

algorithm is applied. The improvement in the aspects of resolution and accuracy in low SNR is shown by


Monte-Carlo simulations. The spatial spectrum expresses signal distribution in the space from all

directions to the receiver. Hence, if one can get the signal’s spatial spectrum, then the direction of arrival

can be obtained. Thus, spatial spectrum estimation is also called DOA estimation. DOA technology

research is important in array signal processing, which is an interdisciplinary technology that develops

rapidly in now a days, especially the DOA with multiple signal sources, the estimation of coherent signal

sources, and the Direction of Arrival estimation of broadband signals. Direction of Arrival estimation has

a many application prospect in radar, sonar, communication, seismology measurement and biomedicine.

keywordsâ€”Array signal processing, direction-of-arrival (DOA) estimation, direction-domain filtering,

MUSIC

Automatic intrusion recognition and tracking for security systems

Pandhare Girija Rajendra, Dr. Mrs.S. S. Lokhande

[email protected]


ABSTRACT

There are some areas where a very tight security is needed. These areas include Line of Control, Airports,

etc. Also, in some areas, it is not possible to appoint human soldiers due to the worst environmental

conditions and high risk of attack by enemies. In such cases, a complete independent system is necessary

which will automatically detect the intruding objects and track them. This is a complete independent

system in which camera, image processing software, supplementary hardware takes care of detection and

tracking of intruding objects automatically. A battery powered computer installed on the system will

analyze images captured from camera. It will detect intrusion and recognize the intruding object by

comparing its features with features of the objects stored in database. If feature match is found, the

intruding object will get tracked. Thus, such a system will ensure tight security without endangering the

precious life of human soldiers.

Keyword:- Object tracking, Object recognition, Shape description, Color Detection.

License plate image estimation of moving vehicle

Sakure Mayuri Vijayrao, Dr.Mrs. S. O.Rajankar

[email protected]


ABSTRACT

License plate recognition (LPR) of vehicle is most relevant fields in Intelligent Transportation Systems

(ITS). LPR systems main purpose is to locate, segment and recognize the license plate from the snapshot

of the car. As a remarkable recognizable proof, license plate is a key piece of information to reveal over-


speed vehicles or the ones included in attempt at manslaughter hit and run accidents. Nevertheless, the

photograph of over-speed vehicle caught by supervision camera is hazy and unclear because of quick

movement, which is even unrecognizable by human. Those observed plate pictures are more often in low

resolution and endure serious loss of edge data, which cast difficulty to existing visually impaired de-

blurring techniques. In license plate picture obscuring is created by quick movement, the obscure bit can

be seen as direct uniform convolution and parametrically demonstrated with edge and length. In this

paper, we studied a novel plan based on sparse representation to recognize the obscure portion. By

examining the sparsely represented coefficients of the recuperated picture, an angle is estimated by

examining the recuperated picture. After that the length of the movement portion with Radon change in

Fourier space is assessed. This scheme can well handle large motion blurs even when the license plate is

unrecognizable by human. The approach is evaluated using real-time images to access the similarities,

difference between two or more number of various popular blind image de-blurring algorithms.

Technical Keyword: Kernel parameter estimation, license plate de-blurring, linear motion blur, sparse

representation

Detection of Fake Biometric Images using Images Quality Assessment:

Application to Face Classification

Nisha S. Shinde, Prof.V.B.Baru

[email protected]


ABSTRACT

In biometric authentication signiï¬•cant problem is to ensure the actual presence of a real legitimate trait

in contrast to a fake self-manufactured synthetic or reconstructed sample,in this proposed work, a novel

software-based fake detection method is implemented and that can be used in multiple biometric systems

to detect different types of fraudulent access attempts. The objective of the proposed system is to enhance

the security of biometric recognition frameworks, by adding liveness assessment in a fast, user-friendly,

manner, through the use of image quality assessment. The proposed work presents a very low degree of

complexity, which makes it suitable for real-time applications, using 10 general image quality features

extracted from one image to distinguish between legitimate and impostor samples. The experimental

results, obtained on publicly available data sets and real time images of and 2D face, show that proposed

method is highly competitive compared with other state-of-the-art approaches

Convolutional Neural Network For JPEG Artifact Removal

Sima Mukherjee, Prof. B.H. Pansambal

[email protected]

TSSM Bhivarabai Sawant CoE & R, Narhe, Pune [080]


ABSTRACT

In lot of applications, ranging from radiological image storage to video telephony and multi-media

applications, a huge amount of visual data is to be stored and transmitted. To be able to reduce storage

requirements and increase transmission speed, it is of great importance to compress images and image

sequences. The methods can be lossy or lossless, with the former achieving much higher compression

ratios, still resulting in visually pleasing output. On the other hand, in some environments, like

radiological imaging, lossy compression is not acceptable, both for practical and legal reasons. The two

main issues in image and video compression are removing spatial and/or temporal redundancies by

decorrelating the image (sequence). Image compression standard can be implemented on CNN, resulting

in very fast execution.

Marathi Language Speech Synthesizer Using Concatenative Synthesis

Strategy

Gavane Reshma Rajaram, Mr. S.K. Shinde

[email protected]


ABSTRACT

This reseasrch paper describes the concatenative text-to speech system and discuss the problems linked to

the improvement of a Marathi speech synthesizer using different best of elements: words, phonemes as a

database. Value of the synthesizer with different unit size shows that the word synthesizer achieves better

than the phoneme synthesizer. The best vital qualities of a speech synthesis system are naturalness and

intelligibility. We synthesize the Marathi text and execute the subjective valuations of the synthesized

speech. Speech synthesis runtime was compact for proposed method. The results show the success of the

proposed method.

Keywords-Speech synthesis, concatenation, unit size,

Syllabification

Natural Prosody Generation in TTS For Marathi Speech Signal

Chavan Vidya Laxman, Mr. S.K. Shinde

[email protected]


ABSTRACT


A Text to Speech synthesizer is a computer based system that should be able to read any text. Optical

character recognition system simply concatenate isolated words. This is applicable for any modern

infrastructure.as is case for the announcement of any information. In the TTS it is impossible to record the

data. And we use the grapheme-to-phoneme transcription. This system is simply concatenate the human

voice system. In this paper, we implemented natural prosody generation in TTS for Marathi Speech

Signal.

Trafic Monitoring System by registration number Identification

Pawar Sangram B., Prof. B.H. Pansambal

[email protected]


ABSTRACT

Traffic monitoring system by registration number identification is being developed as a solution

for traffic monitoring with use of technology. Registration number plate detection and

recognition is an active research topic in image processing domain. The concept of the project is

to detect and recognize vehicle registration number plate of the vehicles those violate the stop

signal. The vehicles jumping the signal will be detected by laser and LDR sensor and their images

will be captured by camera. These images will be processed by Raspberry Pi processor board and

registration number of vehicle will be recognized. For this process, image processing techniques

are used. The recognized registration number of vehicle will be stored. It is a key technique used

in mass surveillance applications like traffic and parking flow surveys, vehicle monitoring through

toll booths, vehicle monitoring through automated alerts for unauthorized / barred /stolen

vehicles, highway / border monitoring system, parking management solutions and many more.

Also we provide SMS alerting system to the monitoring person whenever number of vehicle

exceeds broking signal. .

Sangram Pawar


Fruit Quality Inspection System Using Machine Vision

Akshay Anantrao Deshpande, J.K.Singh

[email protected]

VISHWABHARATI ACADEMY'S COE AHMEDNAGAR [064]

ABSTRACT

This is a review of the current existing literature about the inspection of fruits and vegetables with the

application of machine vision, where the system mostly used to estimate various properties related to

quality are analyzed using image analysis. In agricultural field the competence and the exact classifying

process is very essential to increase the fruit yield. Every day high quality fruits are exported to other

countries and produce a good income. That is why the grading process of the fruit is important to improve

the quality of fruits. However, fruit classifying by humans in agricultural industry is not adequate,

requires large number of employments and causes human faults. The aims of the classic applications of

such systems include the classification, quality estimation according to the internal and external

characteristics, management of fruit processes during storage or the assessment of new actions. Color,

textural and morphological features are the most commonly used to identify the diseases, maturity and

class of the fruits. In general, machine vision systems do not only replace manual scrutiny, but can also

improve their skills. In conclusion, computer vision systems are powerful tools for the automatic

inspection of fruits and vegetables. In addition, the development of such systems adapted to the food

industry is fundamental to achieve competitive advantages.

Keywordsâ€” Machine Vision, Image analysis, Morphological features, Quality inspection. Introduction

Development of e-Nose based on Metal Oxide Thin Films and Nano-

Structures

Komal Maruti Avhad, V. M. Aranke

[email protected]

Vishwakarma Institute of Information Technology, Pune [039]

ABSTRACT

An Electronic-Nose based on Metal-oxide Thin Films and Nano structures for harmful gas detection has

been demonstrated. To implement the design of Electronic-Nose, the multiple sensor array of ZnO

Nanowire film is selectively modified with different sensitizes like Al, Ti, Ag and Au. Data Acquisition

system, testing chamber and a Labview based program is used to simulate a Data Repository System. The

response curves of No2, H2S and NO gases were recorded as a function of gas concentration. Different

types gases were identified using simple bar chart mechanism. Analyzing gases under investigation have

a unique signature pattern.


Acoustic Emission Signatures Detection and Analysis

Mothe Ganesh Shahurao, Dr. Yogesh H. Dandawate

[email protected]


ABSTRACT

Acquisition of acoustic emission signals are very important for analyzing life of structures and materials.

In this work we have proposed a hardware based signal acquisition system based on DSP processor,

design of acoustic emission sensor and a signal conditioning unit with variable gain amplifier. Different

signal conditioning unit design consideration and wavelet based signal denoising procedure is also

discussed in this work.

Deep Learning in Classification of Low Resolution Astronomical Images

Patil Jyoti Sanjay, Dr. Yogesh H. Dandawate

[email protected]


ABSTRACT

Deep learning is widely adopted machine learning technique by computer vision and signal processing

communities. Deep learning, in particular, Convolutional Neural Networks (CNN), are the most

impressive classifiers widely used for image classification. CNN allows the machine to automatically

learn the features from image representations, minimizing the need for human experts. Such

Representation learning at different layers in CNN, along with their fine-tuned different parameters in

forward and backward propagation paths makes them a more promising model for image classification as

compared to traditional machine learning model. In this paper, one such successful implementation of

CNN is performed with feature extractors designed for classifying low resolution astronomical images

containing objects like ‘Radio Halos and Relics’ and â€˜Point Radio Sources’. As these images are with

poorly defined morphological features, feature extraction needed in traditional machine learning is

difficult to obtain. Hence, classification performed with CNN proves to be more efficient.

An Effective Image Resolution Enhancement using Wavelet Transform and

Curvelet Transform


Shruti Arunrao Shrirao, Milind S. Patil

[email protected]


ABSTRACT

Wavelet based image resolution techniques has been imposed in this work to acquire superior quality of

image. Curvelet transform is being used to enhance the edges fetched from DWT and SWT which is

helpful to retain good resolution of an image. Resolved image is obtained from reconstruction by IDWT.

Input image is interpolated by the factor of á¼€/2 and reconstructed image is then obtained by

decomposition of DWT into different subband followed by interpolation and acquired coefficients are

accurate up to the high frequency subband of SWT. Estimated high frequency coefficients after adding

has been undergone for interpolation with factor á¼€/2 to give enhanced super resolution image.

Depth Estimation Using Stereo Vision On Signal Processing Hardware

Wadne Nitish Jarasandh, Arti Bang

[email protected]


ABSTRACT

The depth information is lost when images are taken from a ccd sensor. Depth estimation has vital

importance in various applications like Advance driver assistance systems, Robot navigation, 3D movies,

etc. This paper proposes the implementation of Semi global block matching algorithm on raspberry pi

using python. The proposed algorithm generates a disparity map by block wise matching and smoothness

constraint. The novel algorithm is compared with other algorithms on the standard dataset. The issues

regarding real time implementation on the system is also discussed.


VLSI & Embedded System


IoT based smart parking system

Hainalkar Gayatri Narayan, Prof. Ms. M. S. Vanjale

[email protected]

AISSMSIT, PUNE [025]

ABSTRACT

Moving towards the development of smart city, various smart applications like smart home, smart

healthcare, smart irrigation, Smart street lighting, smart parking system, Smart waste management system

etc are part of it. Out of these applications smart parking system is an important part of so called smart

city. Smart parking system allows reserving the parking spot in advance, which helps in reduction of time

in searching the parking spot, reduction in traffic congestion, reduction in pollution, reduction in

frustration of drivers etc. A smart parking system based on internet of things which not only allows the

drivers to book a particular parking spot but also helps in automatic cashless billing, hacking intimation,

post trip booking is proposed. The proposed system also provides the updates of each parking areas to

traffic police which helps to manage the urban traffic problems. The proposed system provides all the

features essential for upgrading the quality of life of an individual in regards to smart city.

Keywordsâ€” internet of things, smart city, smart parking system, smart billing, hacking intimation

Low power CMOS universal gate using Mutithreshold Voltage CMOS

technique

Gajare Milind Pralhad, Prof. Dr. D. K. Shedge

[email protected]


ABSTRACT

In modern digital integrated circuits, power consumption is one of the major challenges in international

semiconductor road map technology. The technology in VLSI circuits scales down day by day which

reduces the threshold voltage of transistors but increases the subthreshold leakage current. The effective

voltage scaling technique is proposed in this paper to reduce the leakage power of transistors. The main

objective of circuits is to operate the design at low power with high speed. In proposed scheme, the multi

threshold technique is implemented which gives high speed and low power consumption associated to

CMOS transistors in the subthreshold region. The universal gate designed with muti threshold CMOS

technique dissipates low power. The experimental results are performed on Tanner EDA Tool version

14.1. The power dissipation reduced by 30% to 70% in the proposed technique.

Keywordsâ€” Dynamic voltage scaling (DVS), mutithreshold CMOS (MTCMOS), low power

dissipation.


IP based material analysis of particle size/shape detection technique

Rathod Mayuri Dhansing, Dr.V.K.Bairagi

[email protected]


ABSTRACT

Digital Images are the important part of software. An image fusion is a type of image stitching in which

series of smaller, overlapping images are performed to produce one panoramic image with high

resolution. Stitched images are make effective utilization of panorama images, architectural walk through

and other applications which are related to the 3D modeling environment using images captured from the

real view world. In variety of image processing techniques most of the images are treated as a 2D signal

and standard techniques are applying to it to get the result. So here in this case scale invariant feature

transform (SIFT) algorithm is used to perform the detection and matching key points step because it has

good properties. Second part includes, Grain size is one of the essential parameters in the microstructure

analysis of high strength aluminum alloy. This information is commonly derived based on manual

processes. However, these manual procedures may take long time and errors are prone to occur. These

days, the fast improvement of the digital image processing and the pattern recognition technologies gives

a new methodology for the quantitative metallographic analysis. Artificial intelligence utilized in

realizing automatic metallographic analysis can overcome the drawbacks of the manual processes. In this

paper we presented a new method of digital image processing for determining the grain sizes of the

metallographic images. To derive the grain size determine digital metallographic images, the digital

image processing was applied to extract grain boundary by proposing a new edge detection algorithm

based on fuzzy logic.

Keywords: Edge Detection, Fuzzy Logic, Grain Size, Panoramic Image, Smoothly Stitched Image.

Design of reliable multiplier with adaptive hold logic

Pagar Pradnya Ramrao, Prof. Ms. M. S. Vanjale

[email protected]


ABSTRACT

Digital multipliers are one of the most critical arithmetic functional units. The overall performance of this

system depends on the throughput of the multiplier. Meanwhile, the NBTI effect occurs when PMOS

transistor is under negative bias (Vgs = - Vdd), increasing the threshold voltage of the PMOS transistor

and reducing transistor speed. A similar phenomenon, positive bias temperature instability occurs when

pMOS transistor is under positive bias. Both temperature effects degrade transistor speed, and in the long

term, the system may fail due to timing violations. Thus, it is important to design reliable high


performance multipliers. In this paper, we propose an aging-aware multiplier design with the novel

adaptive hold logic (AHL) circuit. The multiplier is able to improve higher throughput through the

variable latency and can adjust the AHL circuits to mitigate performance degradation that is due to the

aging effect. The proposed design can be allied to the column bypass multiplier.

Keywords - Adaptive hold logic(AHL), negative bias temperature instability(NBTI), positive bias

temperature instability(PBTI), reliable multiplier, variable latency.

Accident analysis and protection system using black box

Chandanshive Priyanka Arjun, Prof. Dr. D. K. Shedge

[email protected]


ABSTRACT

This paper presents an idea of black box which is to be implemented in cars, to ascertain the reason

behind the accident. Whenever one thinks about Black Box the only thing that comes to our mind first is

aeroplanes as they are the ones for whom black box becomes very crucial. With respect to previous work,

this schemehas replaced ARM processor with the newest version of Raspberry Pi 3. With this change the

proposed work tend to achieve high memory capacity, reduction in size of black box and no CAN bus

needed due to inbuilt interfaces. And at the same time an additional feature that is protection system has

been included in the scheme. In protection system there are two parts that is drowsiness detection and

brake fail system. Data collection stops automatically after accident. Coming to accident analysis two

cameras has been which will take videos of Driver’s top view and car’s front view. Accelerometer is used

for denoting steering wheel position, loadcell for the amount of press applied on brake, GPS for location

of accident, IR sensor to detect the drowsiness and alert the driver. Brake fail system to detect failure of

brakes.

Keyword - Raspberry Pi 3 Model B, Accelerometer, ADC, Loadcell, GPS, IR sensor

Android based lightnet for brightness and color temperature control

Hanchate Akshada Arun, Prof.Dr.S.B.Dhonde

[email protected]


ABSTRACT

Light-emitting diode (LED) with high power has the manifest in benefits of high luminous efficiency,

reduced energy consumption, and potentially longer operating lifetime over conventional fluorescent


lamps for various lighting applications.The objective is to drive the bi-color LED stripe (warm-white and

color-white LEDs) for precise PWM dimming in the range of 1-10V. The dimming of LED strings is

controlled by using the android phone.In addition, the color temperature and brightness (intensity)of light

is obtained by adjusting the PWM duty cycles for both LEDs. In order to achieve the goal for accurate

dimming and color mixing of two LED strings (warm-white and cool-white LEDs), a closed loop non-

linear feedback control method from the integrated sensors is adopted instead of a linear control method.

Using non-linear method, the accuracy of system is 73% with CCT of 3120K along with luminance

(brightness) of 265 Lux.

Keywordsâ€” Bi-color LED stripe; PWM dimming; Color correlated temperature (CCT); luminance;

color mixing; 0-10v range; non linear feedback control; lighting levels.

Human stress measurement

Gaikwad Sanchi Shashikant, Dr.V.K.Bairagi

[email protected]


ABSTRACT

According to world health organization, stress is a significant problem of our times and affects both

physical as well as the mental health of people. The stress response can be measured and evaluated in

terms of perceptual, behavioral and physical responses. Stress is so harmful that it can/may leads to long-

term diseases. Stress increases the risk of heart diseases by 40%, heart attack by 25%, and stroke by 50%.

A little stress is necessary for us but too much stress brings negative impact. By considering various

physiological features occur in electrical activity of the brain along the scalp. EEG measures voltage

fluctuations resulting from ionic current within the neurons of the brain. EEG is used in more places

because hardware cost of EEG is significantly lower than other techniques. Also EEG has very high

temporal resolution, on the order of milliseconds rather than seconds. Compare to other techniques, EEG

is most preferable because EEG can be recorded near the patient’s bed and used for long-term monitoring

of sleep stages or epilepsy. EEG also is a convenient tool for psycho physiological research when the

subject has to perform some behavioral tasks or is out of laboratory. EEG can track brain changes during

different phases of life without disturbing a patient.

Keywords- EEG NeuroskyHeadset,Stress

VANET System for pollution and traffic control

Shinde Priyanka Vilas, Prof.Dr.S.B.Dhonde

[email protected]



ABSTRACT

Vehicular traffic in India is not well organise as they don’t follow the lane discipline in India. Therefore

for proper management we can control the traffic in developed countries. The Intelligent management of

traffic flow can lessen the negative impact of congestion. The issues incorporate direct impacts on

people's prosperity, horrible fiscal effects, antagonistic social impacts, neighbourhood normal damage,

and threat of heartbreaking overall natural change. Overall issues can be minimise by using this VANET

system in which the vehicles can exchange messages which are related to traffic and road conditions, such

as average speed on the road, road gradient, penetration rate, compliance rates and surface condition. Also

we can calculate rate of accident and CO2 level outside the car when considering different road survey

.This information is utilized to save fuel consumption up to 21%, based on which the vehicles are

prescribed to take more efficient routes. By using this system we can reduced the traffic congestion level

and control the pollution in developed countries.

Keywordsâ€”Ad Hoc Networks, Routing, Vehicle Communications, Wireless LAN, Road

Traffic.

smart environmental monitoring using WSN

Barate Deepika Sunil, Dr. P. B. Mane

[email protected]


ABSTRACT

The recent changes in climate have increased the importance of environmental monitoring, making it a

topical and highly active research area. The smart environment monitoring is based on remote sensing and

wireless sensor networks. Clustering is considered as an effective approach to reduce network overhead

and improve scalability. Internet of Things (IoT) makes all objects become interconnected and smart,

which has been recognized as the next technological revolution. A sensor interface device is essential for

sensor information gatheringof industrial Wireless Sensor Networks (WSN) in IoT environments.

However, the various problems like current connect number, sampling rate, and signal types of sensors

are generally restricted by the device. Each sensor associated with the device is required to write

complicated and difficult data collection program code in the Internet of Things (IoT) environment. In

this paper, to solve these issues, a new method is proposed. The method includes design of reconfigurable

smart sensor interface for WSN in IoT environment, in which field programmable gate array (FPGA) is

used as the core controller. The FPGA controller can read data in parallel and in real time with high speed

on multiple different sensor data. The paper presents the smart sensor hardware and software design and

relevant interface protocol to realize the intelligent acquisition for common sensors. The device is

combined with the newest FPGA programmable technology and the fast and accurate data acquisition

form intelligent sensor specification. The gathered data is sent to base station which sends it over internet

and result is displayon web page which can be accessed fromubiquitously.The developed system is


validated using real time monitoring of CO2 and temperature. The monitoring of the environment

parameter is errorless.

Keywords - FPGA, IEEE1415 protocol, Internet of Things (IoT), sensor data acquisition.

IoT based dynamic traffic management system for smart city

Avadhani Aditi Anand, Prof. Ms. M. S. Vanjale

[email protected]


ABSTRACT

Smart Cities services ranges from public safety and traffic management to intelligent streetlighting and

water treatment. The main aim is to achieve zero failure infrastructure for the society. The World Health

Organization's (WHO) report on Road Safety (2013) states that the estimated GDP loss due to road traffic

crashes is about 3% for India.Owing to unsafe conditions on roads, the rate of accidents in India has been

high. According to WHO statistics for 2012, out of about 11.8 lakh road accident deaths across the world,

84,674 deaths were reported from India alone. In the year 2014, the number of road accident deaths in

India increased to 92,618. Considering the gravity of the situation, there is consensus that concerted

measures are necessary for reducing this high level of accident deaths and injuries through improved

safety measures and traffic management. The proposed system has been designed to overcome the

shortcoming in the traffic management. The system gives information about road congestion, ability to

control the flow of traffic and also exercise emergency exit for emergency vehicle. Interfacing of Internet

with the actual existing traffic mechanism add-ons the ability of the proposed system to reduce human

intervention and increase the quality of traffic management.

Keyword - internet of things, traffic management, Pune city, Efficiency

Smart Electronic Home Security System

Ghawate Nandan Anil, Dr.P.B.Mane

[email protected]


ABSTRACT

Home security systems is one of the crucial add-on when it comes to advanced home automation systems.

Since the advancements in the internet of things (IOT) various home security systems have been proposed

and designed. Consumer electronics has seen a wide number of designs on Video door phone, video


surveillance and intruder alert systems but most of the systems fail to provide a foolproof solution for

everything combined.

In this paper we have proposed a Smart electronic home security system that combines two different

modules that will together act as a video doorbell, a video surveillance system and an intruder alert

system. We have implemented and overcome the shortcomings of traditional video door phones by giving

remote access and adding a surveillance system and proximity trigger as well as providing an intruder

alert system with two layered security. An android based application has been developed for controlling

the system, viewing the feed from video doorbell and receiving notifications from both the devices.Thus

creating a user configurable smart home security system using minimum resources and creating a product

with minimum price.

Index Termsâ€” video door phone system, home security, intruder alert, android notifications.

A VLC based location system for mobile application

Konda Priti Ashok, Prof. Dr. D. K. Shedge

[email protected]


ABSTRACT

Visible Light Communication (VLC) is demanding wireless communication in upcoming year because of

its higher speed and larger bandwidth with more security. It is the new technology with more benefits

over an existing radio frequency communication system such as high energy, efficiency and long life. The

central requirement of VLC system is illumination and data transmission, where White light is used in

both indoor and outdoor applications for illumination as well as data transmission because colours of

objects as seen closely resemble under both the white light and natural light. The proposed VLC system

enables indoor location based system by including transmitter and receiver part. The transmitter

comprises PC, microcontroller and LED as sends encoded data by flashing the light using On-Off keying

(OOK) modulation technique at a flicker-free frequency with higher speed which undetectable to the

human eye. In order to avoid flickering in lighting, the designated system should work above 200Hz.On

other hand receiver comprises photodiode to convert light rays into electrical signal, microcontroller

receive signal for decoded purpose and its amplification system followed by Bluetooth module to ensure

its connectivity to a smart phone. VLC is the peer to peer communication. Therefore, it is enables for

several other applications such as home, office, airplane etc.

Text independent speaker identification using MFCC and GMM on marathi

database

Deshpande Abhay Anilrao, Prof.Dr.S.B.Dhonde


[email protected]


ABSTRACT

In this Project report, we will study the speaker identification using Mel-frequency cepstral coefficients

(MFCC) and Gaussian Mixture Models (GMM) feature extraction methods on Marathi language

database. MFCC is a feature extraction scheme & GMM is a modelling method. Many of the researchers

have used MFCC method for feature extraction and showed their novel techniques & results on

improving the acceptance ratio/recognition rate. We need to select optimum MFCC filters for speaker

identification performance. In the proposed paper, MFCC feature extraction scheme will be used on

Marathi database & will be compared results with Conventional English database. Widely used feature

extraction approach is filter bank-based Mel Frequency Cepstral Coefficients approach. Goal of feature

extraction is to extract features from raw speech that captures the unique characteristics of a particular

individual. MFCC feature extraction scheme used on Marathi language database to improve the

acceptance ratio/recognition Rate. We will compare the results with conventional language (English)

database. By improving acceptance ratio/recognition rate, we can use speaker identification in different

applications.

Speaker recognition application can be used in the automotive domain for user/operator Authentication.

Improved recognition ratio helps in using this feature in critical functions. In this report we covered

implementation of Speaker recognition using above methodology.

Gas Identification & Leakage Detection using Wireless Electronic Nose

Velankar Ashwini Ravindra, Prof.Dr.S.M.Rajbhoj

[email protected]

BHARATI VIDYAPEETH'S CoE FOR WOMEN PUNE [034]

ABSTRACT

Now-a-days, air pollution is the biggest problem faced by the people in our country. Air pollution is

basically caused due to toxic gases like carbon dioxide, nitrogen dioxide, carbon monoxide etc. These

toxic gases mainly cause a large impact of human health & plants. It may cause skin & eye irritation.

Also, the accidents due to LPG leakage may cause a serious damage. Thus, identification of LPG gas is

also important. Thus, the identification of such toxic gases is not possible by human beings. So, for this

purpose, artificial sensing methodology (e-nose) can be used to identify such toxic gases. Artificial

sensing methodology (e-nose) uses sensors like MQ-3, MQ-6 and MQ135 etc. These sensors are used to

sense carbon dioxide, carbon monoxide, nitrogen dioxide, alcohol & LPG etc. The data sensed using

sensors are transmitted wirelessly using RF ZigbeeTx& Rx. Here, the sensors training & learning is done

using Visual Basic 6.0. Back propagation algorithm is used for classification. When the gas is leak the

system identifies the gas & represents the output on screen as well as the output is converted into speech

form.


WSN based Water Pipeline Leakage Detection

Kendre Saraswati Vasantrao, Prof.Dr.S.M.Rajbhoj

[email protected]


ABSTRACT

Water is essential for day to day activities in all area.Fluid (water) transportation systems present a

significant challenge for pipeline health monitoring.Over a country huge area is covered with water

pipeline network, so detection of exact fault is impossible which causes huge amount of loss of water. In

urban and industrial area water leakage problem often occur.The wireless sensornetworks can facilitate

online learning and reliable event monitoring and reporting for distribution pipelines. Asmart wireless

sensor network (WSN) is suitable for leak detection and size estimation inlong range pipelines.Wireless

sensor networks (WSNs) are a target technology for oil and gas pipeline monitoringthey offer benefits of

low cost, ease of deployment and ability to cater for dataacquisition at great spatial and temporal

scales.This system uses wireless communication and machine learning (WML), to learn decisions and

report the critical events like slow, small leakages in water pipeline autonomously.

Vehicle Traffic Monitoring using IoT & Controlling System

Nagmode Varsha Sahadev, Prof.Dr.S.M.Rajbhoj

[email protected]


ABSTRACT

Vehicle traffic congestion and monitoring has become one of the critical issues in road transport. With the

help of Intelligent Transportation System (ITS), current information of traffic can be used by control

room to improve the traffic efficiency. Here propose a new context-aware approach to find the current

status and density of traffic and dynamic management of traffic signals along with the environmental

conditions. To facilitate this, our proposed architecture of Vehicle Traffic Congestion Control &

Monitoring System in IoT would perform well. Basically, this architecture is divided into two major

modules i.e. hardware module (Processor, RF Transceiver, Sensors, etc) and software module (Web

Server, Proteus software tool, etc). The system utilizes new technologies for real-time collection,

organization and transmission of information to provide an efficient and accurate estimation of traffic

density which can be exploited by traffic-aware applications.


Real Time EMG Acquisition & Hand Gesture Recognition System

Patil Nilima Mansing, Prof.Dr.S.R.Patil

[email protected]


ABSTRACT

A large number of impairments and disabilities in human body is increasing day by day. So to improve

the quality of life of disabled people researchers think on the necessity of simple and natural human-

machine control interface. For the human-machine interface various biomedical signals acquired from a

specialized tissue, organ or cell system like the nervous system. Bio signal like EMG signal is used in

various applications including identifying neuromuscular diseases, control signal for prosthetic devices,

controlling machines, robots etc. EMG based hand gesture can help to develop good human-machine

interface. This present an embedded solution for real-time EMG based hand gesture recognition. It

involves acquisition of EMG signal, hand gesture recognition and controlling.EMG based hand gesture

recognition is easy to build and a low cost system.

Structural Health Monitoring System using WSN for Bridges

Patil Pooja Krishnath, Prof.Dr.S.R.Patil

[email protected]


ABSTRACT

Nowadays, a natural disaster is happening mostly on the earth. For examples flood, earthquake etc. These

types of disasters like flood, earthquake can cause loss of property damage or life, so the structural health

monitoring system is best solution for these types of problems. Structural health monitoring system is

used to measuring the key parameter of the structural and environmental conditions on a continuous base

at real-time. Purpose of SHM are detect structure damage, safety, disaster mitigation etc. Wireless sensors

to monitor physical or environmental condition like pressure, level of water, acceleration etc. For bridges

and dams application, wireless sensor measures the acceleration, tilting angle of bridge pillar and water

level. The wireless sensor network is used in industry, urban terrain tracking and civil structure

monitoring, security and surveillance, smart buildings etc. The wireless sensor network is consisting of

number of nodes and one or more base stations. The sensor nodes in a sensor network are capable of

collecting bridge or dam information and communicate with other connected nodes in the network. It is

also capable of performing some processing part. Wireless sensor nodes are consisting microcontroller,

transceiver, power management unit (power source), and one or more sensors. For bridge application we

have used accelerometer sensors and ultrasonic sensor. The main aim of this project is to minimize the

structural damages and prevent the life and property.


Implementation of BIST Technology for Fault Detection & Repair of

Multiported Memory on FPGA

Musle Dipali Baburao, Prof.Dr.S.R.Patil

[email protected]


ABSTRACT

Now a day’s embedded memory area and memory density is increasing. Due to this problem of fault is

growing exponentionally.It is necessary to detect and repair those faults. There are different methods to

detect the faults present in memory. Asynchronous P-MBIST method is used to detect the faults.

Simulation result includes asynchronous P-MBIST which detect mismatch of data occurred and it is

shown by high fault pulse. To correct the detected fault redundancy circuit is used. This system is

implemented using FPGA platform.

System of a Solar ECG Monitoring using Mobile Phone

Vispute Deepali Dilip, Prof.S.T.Khot

[email protected]


ABSTRACT

Today also there are many areas present in the world where electricity is not present. Such remote areas

are not accessible for the advanced equipments like ECG monitoring device. Also, the tests with these

equipments are so expensive, that poor people cannot afford it. Hence the system proposed here will

provide the solution for this problem, that anyone can observe their own ECG. The system mainly

consists of solar cell and batteries which provides the power to the acquisition system. The system output

has been checked on digital CRO. It gives the ECG signal waveform. Testing of the system is done with

digital CRO later the output can be provide to the mobile phone and further study of the ECG can be done

with that. The initial stages of heart attack or heart problems can be detected with this and accordingly the

help can be provided provide to the mobile phone and further study of the ECG can be done with that.

The initial stages of heart attack or heart problems can be detected with this and accordingly the help can

be provided.

ARM based Integrated Natural Scene Text Localization & Recognition

Kakade Snehal Satwashil, Prof.Dr.V.R.Pawar


[email protected]


ABSTRACT

Now days reading words from an unconstrained and noisy image is not easy. The objective of this study

is to propose a new method for text localization and recognition in natural scene images with complex

background. In this paper, a hybrid methodology is suggested which extracts text from natural scene

image with chaotic backgrounds. The proposed approach involves embedded system. This combines

software with hardware. First, superimposed text regions in an image are extracted based on character

descriptors features like Area, Bounding box, Perimeter, Euler number, Horizontal crossings. In the

second step, superimposed text regions are tested for text content or non-text using character descriptors

and SVM classifier. In the third step, detection of multiple lines in localized superimposed text regions is

made and line segmentation is performed using horizontal profiles. In the final step, using vertical profiles

each character of the segmented line is extracted. In the system ARM7 (LPC2138) is interface with

Personal Computer. The GPS and GSM are also interface with the ARM7 (LPC2138). The extracted

English text from an image is given to the ARM7 (LPC2138). This will be displayed on LCD. The GPS

will obtain location coordinates of an image. The GSM will send SMS to the local tourist guide company

like (e.g. Just Dial) to update information of natural scene image like (e.g. shop names, hotel names etc.).

The workout has been done using images drawn from ICDAR 2013 and SVT 2010 datasets. The

extracted text and location results will be played with IC (APR33A3). This system will be helpful for

tourist and visually impaired. The results demonstrate the effectiveness of the proposed method, which

can be used as an efficient method for text localization and recognition in natural scene images.

IoT Based Smart Home for Power & Security Management

Deokar Shital Namdeo, Prof.Dr.V.R.Pawar

[email protected]


ABSTRACT

The technology is increasing day by day. Modern technology gives better solution to busy working

people. Now a days, houses are equipped with variety of electronic and electrical appliances. It becomes

difficult to monitor all the appliances at a time. Sometimes if no one present at home & if some

appliances remains on, it will consume large amount of power and result’s more electricity bill also lot of

chances to damage the appliances. This could be achieved by using modern technology like an IoT.

Proposed work uses two sensors. The PIR (Pyro-electric passive infrared) is motion sensor and used for

authentication purpose, and temperature sensor is LM35 used for detecting current temperature of the

room and accordingly operate the appliances present in the home. It makes comfortable life to user.


Machine Learning Regression Technique for Cotton Leaf Disease Detection &

Controlling using IoT

Adhao Asmita Sharangdhar, Prof.Dr.V.R.Pawar

[email protected]


ABSTRACT

Cotton is one of the most important cash crops in India. Every year the production of cotton is reducing

due to the attack of the disease. Plant diseases are generally caused by pest insect and pathogens and

decrease the productivity to large-scale if not controlled within time. This paper presents a system for

detection and controlling of diseases on cotton leaf along with soil quality monitoring. The work proposes

a Support Vector Machine based regression system for identification and classification of five cotton leaf

diseases i.e. Bacterial Blight, Alternaria, Gray Mildew, Cereospra, and Fusarium wilt. After disease

detection, the name of a disease with its remedies will be provided to the farmers using android app. The

Android App is also used to display the soil parameters values such as humidity, moisture and

temperature along with the water level in a tank. By using Android app farmers can ON/OFF the relay to

control the motor and sprinkler assembly according to need. All this leaf disease detection system and

sensors for soil quality monitoring are interfaced using Raspberry Pi which make it independent and cost

effective system. The overall classification accuracy of this proposed system is 83.26%.

To Detect Unhealthy Part of Citrus Leaf using DIP

Shaikh Rukaiyya Pyarelal, Prof.S.A.Dhole

[email protected]


ABSTRACT

Citrus is sustenance foods grown from the ground for person. This is one for real trade edit out India. The

different bacterial and microorganisms assault on plant influences different parts like stem, leaves and

organic product. This exploration clarify about execution of picture preparing to determiner anomalies

and illnesses over citrus takes off. This examination demonstrate separated into four sections. In the first

place stage is picture pre-preparing which is including standardization and difference modification. It

improve some imperative component which is useful for further preparing. Second stage is picture

division, it is used the depiction of a picture into something that is more imperative dissent of eagerness

from establishment. For likelihood administration to recognize the haul out and hardness range of cover

leaves the figure tolerating obscure change YCbCr and bi-level thresholding. At last grouping performed

utilizing concealed markov display.


Emotion Recognition from Speech using MFCC & DWT for Security System

Saste Sonali Tukaram, Prof.S.M.Jagdale

[email protected]


ABSTRACT

In recent years the emotion recognition from speech is area of more interest in human computer

interaction. This paper attempts emotion recognition from speech which is language independent. The

emotional speech tests database is utilized for highlight extraction. For highlight extraction MFCC and

DWT these two unique calculations are utilized. For grouping of various feelings like angry, neutral,

scared and happy state SVM classifier is utilized. The order depends on the component vector shaped by

combination of two calculations. Automated Teller Machine (ATM) is most ordinarily utilized business

application by individuals for their cash exchanges. Throughout the most recent thirty years individuals

are to a great extent utilizing and have been rely on upon ATM. In this paper, a framework is proposed to

enhance the execution in ATM machine security upgrade. Security of client record is ensured by the

Personal Identification Number (PIN). However, PIN can be imparted to others. Here we use emotions for

the authentication.

Fault Resistant Encryption System using High Speed AES Algorithm on

FPGA

Somwanshi Vishakha Anil, Prof.Dr.S.S.Chorage

[email protected]


ABSTRACT

Information security is an essential issue in communication system. Advance Encryption Standard (AES)

is utilized as a part of many embedded applications to give data security. Different counter measures are

present in AES against fault injection attacks. Plain text and key of 128-bit is given as an input to the

system and encryption and decryption operations are performed. Flag error shows the status of fault. Fault

is produced randomly during encryption and decryption. For this reason, round transformation is broken

into two sections and a pipeline stage is inserted in between them. After fault detection one operation is

performed that is redundancy check. Detected error or fault is corrected using redundancy check.The

scheme is implemented using FPGA.

TO STUDY DIABETIC RETINOPATHY BY VESSEL EXTRACTION

Khot Sayali Subhash, Prof.Dr.S.S.Chorage


[email protected]


ABSTRACT

Diagnosis and treatment of several disorders that affects the retina and the choroid behind it require

capturing a sequence of fundus images using the fundus camera. These images are required for diagnosis

of diseases and treatment accordingly. Retinal image segmentation is required to extract various features

like hemorrhages that may help in detection of diseases and its treatment. Diabetic retinopathy is one of

the leading causes of preventable blindness in the world and a leading chronic diseases in retinal tracking.

Detection of lesion helps in early detection of Diabetic Retinopathy

Different encoding schemes to reduce link power consumption and switching

activities in NoC

Mitkari Sneha Uttareshwar, Prof.Dr.S.S.Chorage

[email protected]


ABSTRACT

Network-on-Chip (NoC) is basic part of given system. It is substitution for System-on-Chip to decrease

the complexity. Large numbers of different data packets are sent at a time through different links, known

as parallelism. But instead of degrading the performance, NoC keeps on growing in performance and

scalability. In nanometer CMOS technology, interconnection of links dominates both performance and

scalability. Comparison of encoding and decoding operations is done with the help of output waveforms.

Power analysis chart tells about different parameters. Depending on that more efficient and less power

consumed technique, scheme-3 is detected. FPGA and Xilinx are two key points of given system. By

using Xilinx software, power consumption report is calculated from X-power analyzer to compare three

schemes. Also, it will show more efficient technique amongst three.

Solar-Wind Hybrid Energy System Using MPPT

Ligade Gitanjali Vasant, Prof.Dr.V.R.Pawar

[email protected]


ABSTRACT

. Now a day as energy demand is increasing in the world, searching for fossil fuel is done on priority

basis. These fuels are temporary solutions, they emits harmful carbon dioxide to environment. Shortage of


fossil fuels resources and adverse environment affects made use of Renewable Energy Sources (RES) as

Solar energy and Wind energy essential. Solar energy and Wind energy are natural resources which are

not depleted by use and are more popular. Availability and ease to obtain electric power made Solar and

Wind power as alternative energy sources. Solar energy and Wind energy combined to form Solar-Wind

Hybrid Power System (SWHPS), which will enhance the qualities of each other and another. To reduce

the power demand on the conventional power generation sector, the utilization of these natural resources

is essential to produce power. There are number of methodologies for generation of power using Solar-

Wind Hybrid System with Maximum Power Point Tracking (MPPT). For maximum power transfer

constant voltage method is used. This method to be used should have some key features to increase the

stability and efficiency.

Identification & Monitoring of ALS Patient using EMG Signal

Sonone Archana Bhaskarrao, Prof.Dr.S.S.Chorage

[email protected]


ABSTRACT

Now a day as energy demand is increasing in the world, searching for fossil fuel is done on priority basis.

These fuels are temporary solutions, they emits harmful carbon dioxide to environment. Shortage of fossil

fuels resources and adverse environment affects made use of Renewable Energy Sources (RES) as Solar

energy and Wind energy essential. Solar energy and Wind energy are natural resources which are not

depleted by use and are more popular. Availability and ease to obtain electric power made Solar and

Wind power as alternative energy sources. Solar energy and Wind energy combined to form Solar-Wind

Hybrid Power System (SWHPS), which will enhance the qualities of each other and another. To reduce

the power demand on the conventional power generation sector, the utilization of these natural resources

is essential to produce power. There are number of methodologies for generation of power using Solar-

Wind Hybrid System with Maximum Power Point Tracking (MPPT). For maximum power transfer

constant voltage method is used. This method to be used should have some key features to increase the

stability and efficiency.

Brain Computer Interface Based Robot Design for Physically Disabled Person

Salunke Shradha Sunil, Prof Riyaj Kazi

[email protected]


ABSTRACT


There are number of physically handicapped people. Some of them are using different technologies to

move around. Brain-computer interfaces (BCIs) are systems that can bypass conventional channels of

communication to provide direct communication and control between the human brain and physical

devices by translating different patterns of brain activity into commands in real time. With these

commands a robot can be controlled. The intention of the work is to develop a robot that can assist the

disabled people in their daily life to do some work independent of others. Here, brain signals analyzes

using electrode headset that monitors the eye blinks and attention level. All these EEG signals will be

sensed by the brain wave sensor and it will convert the data into packets and transmit through Bluetooth

medium. Level analyzer unit (LAU) will receive the brain wave raw data and it will extract and process

the signal using MATLAB platform. According to human attention level robot will move. ARM

controller is used to design robot.

POWER EFFICIENT, HIGH SPEED IMPLEMENTATION OF

TOPOLOGICALLY COMPRESSED FLIP-FLOP (TCFF)

Sathe Kaustubh Vivek, Prof. Rashmi Mahajan

[email protected]


ABSTRACT

The trend of CMOS technology improvement continues to be driven by the need to integrate more

functions into given area of silicon. Underlying this revolution are the advances in device manufacturing

technology that allow for a steady reduction of the minimum feature size such as the minimum transistor

channel length realizable on a chip. A pertinent question is how this continued reduction in feature size

influences the operating characteristics and properties of the MOS transistor, and indirectly the critical

digital design metrics such as switching frequency and power dissipation. The limitations of technology

scaling can be overcome by incorporation of new devices like SiGe PMOS. Implementation of

Topologically compressed flip-flop (TCFF) in association with the SiGe devices will ensure the

enhancement of the circuit performance. TCFF will give the power saving and the use of SiGe devices

will make sure the high speed operation. The strained silicon structure which actually increases the

mobility increasing the current driving capacity of PMOS which in turn reduces the size of PMOS and

ultimately the overall chip size.

Urban Transport: A simplified approach towards public bus monitoring,

tracking and safety system

Shinde Neha Anil, Pro. Saniya Ansari

[email protected]



ABSTRACT

A Smart Assistance for Public Transport System is to be designed. The Public transport selected is Public

Bus. The issues related with public transport bus are discussed and taken into consideration such as bus

arrival time, no. of persons available in the bus , accident detection of system and safety, alcohol

detection for driver, bus report to public through online/offline options are available .The basic

methodology used is GPS/GSM is used. The PIR sensors need to be used at front and rear door of the bus

for person counting of in/out from the bus. Also, MQ3 alcohol detection sensor is used to detect alcohol

level of the driver drunk and if alcohol is detected then bus will not get ON and a message will be given

to PMT through GSM system requesting for change of driver. Then an accelerometer is used to detect

accidents and simultaneously message is sent to PMT, registered hospital and registered police station so

that they can give proper assistance to the bus at the time of accident. When the switch is been pressed, a

message will be sent to registered police station containing the data about bus and its location.

Design and Implementation of an Advanced Home Automation System using

WiFi Technology

Yadav Jaspalsinh Prafulsinh, Prof Riyaj Kazi

[email protected]


ABSTRACT

Design and Implementation of an Advanced Home Automation System using Wi-Fi Technology. A

system of remote monitoring and self-auto controlling are very much necessary. Smart home appliances

are one the beneficiary of system equipped with home appliances which we wish to control smartly from

anywhere. Machine-to-Machine and Man-to-Machine are the basic communication platforms that enable

home appliances to communicate with each other to be more efficiently operated. According to the

experimental results, the impact of wireless interference on the proposed smart home control network is

substantially mitigated. Additionally, a smart control algorithm for lighting systems and an analysis of the

illumination of lighting is present. The energy saving of lighting systems relative to those without smart

control is evaluating. Numerical results indicate that the electricity consumption on a sunny or cloudy day

can be reduced by at least 40% under the smart control. This paper presents a comprehensive review of

the smart home automation network communication protocols that are used to enable bidirectional

communication between the home owners, utilities and smart home appliances. Moreover, a prototype for

the proposed smart home control network with the smart control algorithm is implemented.

SMART ELECTRICITY ENERGY METER EMBEDDED IN AN IOT

PLATFORM


Darade Mangesh Sandipan, Prof. Rashmi Mahajan

[email protected]


ABSTRACT

A smart meter system for office and industrial environment is being designed in this system. Previously

electromechanical meter device which helps in determining billing charges are monthly basis and are

computed in kilowatt-hours. To solve this problem, we propose a detailed architecture and an

implementation of a smart energy meter using the portion of the smart grid on customer premises which is

embedded in an internet-of-things platform. Our approach has four aspects of novelty and advantages

with respect to the state of the art as seamless integration of smart grid with smart home applications in

the same infrastructure, data gathering from heterogeneous sensor communication protocols, secure and

customized data access, univocal sensor and actuator mapping to a common abstraction layer on which

additional concurrent applications can be built which is flexible to user interface. The emerging field of

wireless sensor networks combines sensing, computation, and communication into a single tiny device.

Advanced Healthcare System Using IoT

Dhandare Sanjay Devidas, Dr. S M. Koli

[email protected]


ABSTRACT

Among the panoply of applications enabled by the Internet of Things (IoT), smart and connected health

care is a particularly important one. Networked sensors, either worn on the body or embedded in our

living environments, make possible the gathering of rich information indicative of our physical and

mental health. Captured on a continual basis, aggregated, and effectively mined, such information can

bring about a positive transformative change in the health care landscape. In particular, the availability of

data at hitherto unimagined scales and temporal longitudes coupled with a new generation of intelligent

processing algorithms can: (a) facilitate an evolution in the practice of medicine, from the current post

facto diagnose-andtreat reactive paradigm, to a proactive framework for prognosis of diseases at an

incipient stage, coupled with prevention, cure, and overall management of health instead of disease, (b)

enable personalization of treatment and management options targeted particularly to the specific

circumstances and needs of the individual, and (c) help reduce the cost of health care while

simultaneously improving outcomes. In this paper, we highlight the opportunities and challenges for IoT

in realizing this vision of the future of health care.

Safe Drive Assistance System


Narwate Dipali Dilip, Prof. Rashmi Mahajan

[email protected]


ABSTRACT

Motor vehicles have become an essential part of our day to day life. The demand for the vehicles is

increasing at uncontrollable rate. The other rate which is also going beyond control is Road Accident.

Road Accidents happen in case of Rash Driving, Over-speeding, Breaking Lanes, Drivers Drowsiness,

Ignoring Safety Precautions, drink and drive etc. This happens globally and is one of the major causes of

death. WHO claims that in the year of 2010 China and India have registered more than 2 lakhs deaths in

road accidents. It also claims that these fatalities happen more with Middle Income Grade and Lower

Income Grade people. Another report claims that about 40% of Road Accidents happens either due to

over-speeding or negligence in safety precautions. Keeping these facts in the mind, it has been decided to

develop a system which is combination of Alcohol detection circuit, Speed Controlling Circuit and

Seatbelt Detection Circuit and Driver drowsiness system.

Efficient FPGA Realizations of a DA-Based Reconfigurable FIR Digital Filter

Reshma Laxmanrao Ghurde, Mrs. Aparna Shinde

[email protected]


ABSTRACT

This paper present distributed arithmetic (DA)based technique for reconfigurable implementation of

finite-impulse response (FIR) filters whose filter coefficients change during runtime. Conventionally, for

reconfigurable DA-based implementation of FIR filter, the lookup tables (LUTs) are required to be

implemented in RAM; and the RAM-based LUT is found to be costly .Therefore, a shared LUT design is

proposed to realize the DA computation. Instead of using separate registers to store the possible results of

partial inner products for DA processing of different bit positions, registers are shared by the DA units for

bit slices of different weightage. The proposed design has nearly less area-delay product, when compared

to DA-based conventional structure.

A High-Performance FIR Filter Architecture for Fixed and Reconfigurable

Applications

Pallavi Raghunath Yewale, Prof. Aparna Shinde

[email protected]



ABSTRACT

Transpose form finite impulse response (FIR) filter is naturally a pipelined structure which supports the

multiple constant multiplications (MCM) technique but direct form FIR filter structure does not support

MCM technique. The MCM is more effective in Transpose form when the common operand is multiple

with the set of constant coefficients that reduce the computational delay. The implementation of MCM

technique is easier in fixed coefficient Transpose form FIR filter but complex in reconfigurable

coefficients. In fixed coefficients transpose FIR filter, area and delay are reduced by using MCM

technique. The low-complexity design using the MCM technique is implemented for fixed coefficients

transpose form FIR filters and multiplier-based design is used for reconfigurable transpose form FIR

filter. The implemented transpose form FIR filter structure achieved less area and delay than the direct-

form FIR filter structure. The XILINX software tool is used for simulation.

Area-Efficient High-Speed Hybrid 1-bit Full Adder Circuit Using Modified

XNOR Gate

Kadu Chaitali Pradiproa, Manish Sharma

[email protected]


ABSTRACT

A hybrid 1-bit full adder design is presented here using modified 3T-XNOR gate to improve the area and

speed performance. The design is implemented for 1-bit full adder and then is scaled to 32-bit adder.

Combination of CMOS and transmission gate logic is used to enhance the performance in terms of area,

delay and power. The performance of the proposed design is evaluated through the simulation analysis in

90-nm technology with 1.2v supply voltage. The effect of scaling on the overall performance is also

analyzed through the performance evaluation of 1-bit and 32-bit adder. The performance of proposed

design is also compared with conventional design to verify the effectiveness in terms of area, power,

delay.

Design of Low Power Master Slave Match Line for 8Ã—8 Content

Addressable Memory

Parmar Mitali Yogeshbhai, Dr. P. Malathi

[email protected]


ABSTRACT


A master-slave match line (MSML) design is presented here using modified XNOR cell for low power

and better performance. Unlike the conventional design, where only one match line (ML) is used, MSML

uses one master MLs (MMLs) and several slave -MLs (SMLs) to perform the search operation. By

sharing MML charge with mismatch SML, the power consumption can be reduced and speed can be

improved. All circuits are simulated in Tanner V13 tools with 90nm standard CMOS technology. The

performance of proposed design is compared with conventional design in 1Ã—4-bit, 4Ã—4-bit, 8Ã—8-

bit word size case.

Area-Delay-Power Efficient Carry-Select Adder

Sareeka Tulshiram Deore, Prof. Dr. (Mrs.) P. Malathi

[email protected]


ABSTRACT

In arithmetic operation, adder is the basic hardware unit. So adder performance affects the overall

Systemperformance. In this brief, the logic operations involved in conventional carry select adder (CSLA)

and binary to excess-1 converter (BEC)-based CSLA are analyzed to study the data dependence and to

identify redundant logic operations. We have eliminated all the redundant logic operations present in the

conventional CSLA which is formed by using RCA and proposed a new logic formulation for CSLA. The

Regular Square root (SQRT) CSLA consumes more area due to the presence of two Ripple Carry Adders

(RCA) in the structure. In the proposed scheme, the carry select (CS) operation is scheduled before the

calculation of finalsum, which is different from the conventional approach. Bit patterns of two

anticipating carry words (corresponding to cin = 0 and 1) and fixed cin bits are used for logic

optimization of CS and generation units. An efficient CSLA design is obtained using optimized logic

units. The proposed CSLA design gives significantly less area and delay than the recently proposed BEC-

based CSLA. Due to the small carry-output delay, the proposed CSLA design is a good solution for

square -root (SQRT) CSLA. A theoretical estimate shows that the proposed SQRT-CSLA involves nearly

35% less area-delay-product (ADP) than the BEC-based SQRT-CSLA, which is best among the existing

SQRT-CSLA designs, on average, for different bit-widths. Carry Select Adder (CSLA) is one of the

fastest adders used in many data-processing processors to perform fast arithmetic functions. The proposed

design is synthesized and simulated in Xilinx ISE design suite 14.2 and is implemented on Spartan 6

XC6SLX16 CSG324 FPGA device.

Low Power, Area Efficient Dynamic Comparator Without Cross Coupled

Inverter

Amol D. Shinde, Dr. Manish Sharma

[email protected]



ABSTRACT

In this paper analysis for input stage and output stage of dynamic comparator is presented along with a

new architecture of dynamic comparator is proposed with modified node discharge method and without

cross coupled inverter pair. Also the parameters which affect power consumption are listed and those

parameters are significantly reduced in proposed design. The proposed comparator has reduced activity

factor and hence it consumes much less power as compared to conventional designs. The modified node

discharge method is implemented at input stage and output stage is implemented without cross coupled

inverter pair which helps in reduced active, standby power consumption and transistor count for area

efficiency. All circuit designs are simulated in Tanner tools V16 with 90nm CMOS technology. Post

simulation results shows that modified node discharge method works well for power as well as area

efficiency.

Study and Analysis of Soft Error in Combinational Circuits Using NOR Gate

Poonam Sudam Wankhede, Usha Jadhav

[email protected]


ABSTRACT

As the model technology is being scaled down, physical defects occur.Physical defects are those that can

occur in a circuit. During fabrication of chip many types of imperfection can occur, for example, breaks

in signal lines, lines shorted. Soft Error are not the permanent error’s, they only occur for some time

period in a circuit. The soft error’s can be resolve by using fault detection techniques. Stuck-at-fault is

one of the fault detection technique, the stuck-at-fault is an logical type detection. This paper attempts to

reduce the soft error from circuit. The Proposed technique is based on stuck-at-fault in NOR gate for two

condition’s i.e stuck-at-0 and stuck-at-1 in circuit.

Design of Power & Area optimized 6T Latch for Shift Registers Using Pulsed

Latches

Akshata G. Shete, Arati Gaikwad

[email protected]


ABSTRACT

This paper proposes low power 6T latch for shift registers using pulsed latches. The area and power


consumption are reduced by replacing flip-flops with pulsed latches. This method solves the timing

problem between pulsed latches through the use of multiple non-overlap delayed pulsed clock signals

instead of the conventional single pulsed clock signal. The latest portable advanced devices require low

power and area efficient designs. The shift register uses a small number of the pulsed clock signals by

grouping the latches to several sub shifter registers and using additional temporary storage latches. A n-bit

shift register using pulsed latches is designed. The simulation results show that the proposed shift register

design with less transistor count is better choice for low power and area efficient applications.

Implementation of Fault Tolerant Embedded Signature Analyzer

Amol Gulab Patil, Usha Jadhav

[email protected]


ABSTRACT

In this paper to test and verify arithmetic and logic operations performed by digital circuits an arithmetic

and algebraic codes are used. Residue generator is an important unit of hardware implementation of

arithmetic code which generates residue of number with respect to check base. The proposed system uses

residue generator with arbitrary check base. It is shown that to reduce the probability of error escape,

when proposed residue generator is used for detecting arithmetic errors. The proposed generator is embed

into a microprogrammable finite state machine to test its operation without adding hardware overhead.

Power Optimized Transmitter for Future Switched Network

Omkar Chandrashekhar Mane, Usha Jadhav

[email protected]


ABSTRACT

Network equipment power consumption is under increased scrutiny. To understand and decompose

transmitter power consumption, we have created a toolkit incorporating a library of transmitter circuits in

45-nm CMOS and MOS current mode logic (MCML) and characterize power consumption using

representative network traffic traces with digital synthesis and SPICE tools. Our toolkit includes all the

components required to construct a library of different transmitters: line coding, frame alignment, channel

bonding, serialization and deserialization, clock-data recovery, and clock generation. For optical

transmitters, we show that photonic components and front end drivers only consume a small fraction (


An Embedded Real-Time Finger-Vein Recognition System for Security Levels

Sandhyarani Yadav, Mrs. Aparna Shinde

[email protected]


ABSTRACT

In this project, we propose a real-time embedded finger-vein recognition system for

authentication on mobile devices. The system is implemented on an embedded platform and

equipped with a novel finger-vein recognition algorithm. The proposed system consists of three

hardware modules: image acquisition module, embedded main board, and human machine

communication module. The structure diagram of the system is 1. The image acquisition module

is used to collect finger-vein images. The Embedded main board including the Microcontroller

chip, memory (flash), and communication port is used to execute the finger-vein recognition

algorithm and communicate with the peripheral device.

Low Cost, Design and Development of MEMS for Marine Application

Radhika Pratap Jagtap, D. G. Khairnar

[email protected]


ABSTRACT

This paper represents the development of inertial measurement of data acquisition system mainly used in

sailboats. Mainly it detects the location and correct inertial measurement for racing application. The

variables of interest are three-axis acceleration, three-axis rotation, Global positioning system (GPS),

position/velocity, Magnetic compass bearing and wind speed/direction.Inertial measurement unit (IMU) is

a self-contained system that measures linear and angular motion usually with a triad of gyroscopes and

triad of accelerometers. The designs mainly focus on low cost micro electromechanical system based

technology. The proposed design includes novel application of MEMS (micro-electromechanical system)

technology that combines computer with tiny mechanical devices such as accelerometer, gears, valves

and embedded in semiconductor chips.

Design and Implementation of DCT Algorithm using Vedic Mathematics

Ranjana Kumari, Prof. Monali Chinchamalatpure

[email protected]



ABSTRACT

Digital multipliers are indispensable in the hardware implementation of many important functions such as

DCT, IDCT etc. in Image processing. The project deals with Design and implementation of Vedic

Multiplier in Image Compression using DCT algorithm. The DCT (Discrete Cosine Transform) performs

spatial compression of the data while IDCT performs decompression of the data. Here, matrix

multiplication is one of the important steps in both the transforms. Hence, to perform these computations;

Vedic multiplier is introduced which is based on Urdhava Tiryakbhyam (vertical and crosswise) sutra. In

this project DCT algorithm is designed using Verilog and code is written in Xilinx I.S.E 14.5 version,

synthesized on Xilinx Synthesis Tool (XST).The result of DCT using Vedic Multiplier is implemented

and the proposed Vedic multiplier proves the computational high speed involved in multiplication

operations of the image processing. The demand for high speed processing has been increasing as a result

of expanding computer and signal processing applications. Higher throughput arithmetic operations are

important to achieve the desired performance in many real-time signal and image processing applications.

One of the key arithmetic operations in such applications is multiplication and the development of fast

multiplier circuit has been a subject of interest over decades. Multiplier based on Vedic Mathematics is

one of the fast and low power multiplier. Employing this technique in the computation algorithms will

reduce the complexity, execution time, power etc.

DESIGN HIGH SPEED MULTIPLIER USING VEDIC MATHEMATICS

FOR IIR FILTER.

Dighe Pratibha Punjahari, Prof. Monali Chinchmalatpure

[email protected]


ABSTRACT

Abstract: Digital signal processing operation utilizing Vedic mathematics which performs the signal

handling operation like convolution, circular convolution, cross correlation, auto-correlation and filter

design. Digital signal processing (DSP) operations are vital part of engineering and medical field.

Outlining of DSP operations have numerous methodologies. This configuration procedure gives the

analysis of signals to enhance the accuracy of the mathematical calculations. It encourages the time

sharing for all signals to process mathematical operations all the while. Vedic mathematics is the ancient

math which has a unique method of mental calculation with the assistance of basic rules and standards

based on sutras. The utilization of multiplier has demonstrated the efficiency of Urdhva-Tiryakbhayam

method for multiplication which conveys a distinction in the real procedure of multiplication itself. The

configuration of IIR filters utilizing Urdhva-Tiryakbhayam sutra. This calculation is performed in Xilinx

and compare with MATLAB operation of IIR filter respectively.


Keywords: Vedic Mathematics, Multiplier, DSP, IIR Filter, Urdhwa Tiryagbhyam Sutra, MATLAB 8.1,

Xilinx 14.5 ISE.

Energy efficient vehicle with anti theft and accident control system

Tushar Tayade, Prof. Manoj Sonune

[email protected]


ABSTRACT

Security, especially the security of vehicle has become a matter of concern. An efficient automotive

security system is proposed for anti-theft using an embedded system integrated containing face

recognition system with Global Positioning System (GPS) and Global System for Mobile Communication

(GSM).This proposed work is an attempt to design and develop a smart anti-theft system that uses face

recognition system to prevent theft and to determine the exact location of the vehicle using GPS. GSM

system is also installed in the vehicle for sending the information to the owner because GPS system can

only receive the vehicle location information from satellites. The owner can lock or unlock his vehicle

with the help of SMS. There is also accident control system which will control speed and not allow the

car to dash on the car or obstacle in front. The minimum distance is maintained between the cars by

matching their speeds. By maintaining the distance vehicle collision can be avoided. Also, the gases from

the exhaust are wasted so the motion of waste gases from the exhaust pipe is used to generate power to

give battery backup for system inside the vehicle.

Aging aware relaible multiplier design using adaptive hold logic technique

Pranali Gunwantrao Gahukar, Prof. Monali Chinchamalatpure

[email protected]


ABSTRACT

High speed and low power consumption is one of the most important design objectives in integrated

circuits. Digital multipliers are most critical functional units. The overall performance of this system

depends on the throughput of multiplier design. Aging problem of transistors has a significant effect on

performance of these systems and in long term, the system may fail due to timing violations. Aging effect

can be reduced by using over-design approaches, but these leads to area, power inefficiency. Hence to

reduce the maximum power consumption and delay, variable latency multiplier with adaptive hold logic

is used. The multiplier is able to provide higher throughput through the variable latency and can adjust the

AHL circuit to mitigate performance degradation that is due to the aging effect. The proposed architecture

can be applied to image multiplication. Based on the idea of razor flip flop and adaptive hold logic the


timing violations are reduced. In the fixed latency usage of clock cycles is increased. The re-execution of

clock cycles is reduced by using variable latency.

Area Efficient Implementation Of FM0/Manchester Encoding Using SOLS

Techniques For DSRC Applications

Prerna Bhimrao Dighule, Prof. Monali Chinchamalatpure

[email protected]


ABSTRACT

The dedicated short-range communication (DSRC) is an emerging technique to push the intelligent

transportation system into our daily life. The DSRC standards generally adopt FM0 and Manchester codes

to reach dc-balance, enhancing the signal reliability. Nevertheless, the coding-diversity between the FM0

and Manchester codes seriously limits the potential to design a fully reused VLSI architecture for both. In

this paper, the similarity-oriented logic simpliï¬•cation (SOLS) technique is proposed to overcome this

limitation. The SOLS technique improves the hardware utilization rate from 57.14% to 100% for both

FM0 and Manchester encodings. The performance of this paper is evaluated on the post-layout simulation

in Taiwan Semiconductor Manufacturing Company (TSMC) 0.18-Âµm 1P6M CMOS technology. The

maximum operation frequency is 2 GHz and 900 MHz for Manchester and FM0 encodings, respectively.

The power consumption is 1.58 mW at 2 GHz for Manchester encoding and 1.14 mW at 900 MHz for

FM0 encoding. The core circuit area is 65.98 Ã— 30.43 Âµm2. The encoding capability of this paper can

fully support the DSRC standards of America, Europe, and Japan. This paper not only develops a fully

reused VLSI architecture, but also exhibits an efficient performance compared with the existing works.

Industrial Automation Using Web Server and IOT

Amruta Bauskar, Prof Kanchan Pujari

[email protected]


ABSTRACT

Abstract - The Internet of Things (IoT) is a system of interconnected computing devices, mechanical and

digital machines, objects, animals or people that are provided with unique identifiers and the ability to

transfer data over a network without requiring human to human or human to computer interaction. IOT or

internet of things is a technology that deals with bringing control of physical devices over the internet.

Wireless Industrial Automation system using IoT is a system that uses computers or mobile devices to

control basic functions and features automatically through internet from anywhere around the world. The

efficient industry automation system that allows user to efficiently control industry appliances, machines


over the internet. The system uses a microcontroller for processing all user commands. A Wi-Fi modem is

used to connect to the internet and receive user commands. On sending commands through the internet

they are first received by our Wi-Fi modem. The modem decodes information and passes it to the

microcontroller for further processing. The microcontroller then switches loads and operates the motors as

per receiver’s commands. Also it displays the system state on an LCD display. Thus we automate entire

industry using web page and graphical user interface. The graphical user interface is a type of user

interface that allows users to interact with electronic devices through graphical icons

EFFICIENT DESIGNS OF MULTIPORTED MEMORY USING FPGA.

Rangari Trupti Yogesh, Dr. Ashok Chandak

[email protected]


ABSTRACT

Abstract :

Now a day’s many applications need multi-ported memories to increase the process speed and allow write

and read memory banks from multiple ports at the same time. Most FPGAs only support dual port RAM,

and we must build by ourselves multi-port RAM from available logic elements and RAM building blocks

of FPGAs when the number of port exceeds 2. In these paper the main aim is to buit multi port memory

through bist which helps to accuracy and memory allocation respectively. Embedded memory density and

area on-chip is increasing day by day. speed test technique such as built-in self test (BIST) must be

implemented to test these embedded memories. Memory Built-in Self Test (MBIST) is the popular

approach to test embedded memories. The existing March algorithms consist of as many as four or seven

operations per March element. Therefore, it is essential to define new test algorithms which fulfill the

need of detecting new faults. A new March BLC tests having number of operations per element according

to the todayâ€Ÿs growing needs of embedded memory testing with enhanced fault using Verilog as a

primary language and used Model sim SE 6.5 as simulation tool.

ADVANCING IN INDUSTRIAL FIELD

Gaikwad Pankaj Shivaji, Dr Ashok Chandak

[email protected]


ABSTRACT

A wireless smart sensor platform targeted for instrumentation and predictive maintenance systems is

presented. The generic smart sensor platform with â€˜plug-and-play’ capability supports hardware

interface, payload and communications needs of multiple inertial and position sensors, and actuators,


using a RF link (Wi-Fi, Bluetooth, or RFID) for communications, in a point-to-point topology. The design

also provides means to update operating and monitoring parameters as well as sensor/RF link specific

firmware modules â€˜over-the-air’. Sample implementations for industrial applications and system

performance are discussed.

Ethernet Performance Improvement in Multi-port Network System

Nalawade Tanaji Shankar, Prof. Monali Chinchamalatpure

[email protected]


ABSTRACT

Ethernet network devices have their own space and importance in the network age. The real time

operations demand the network devices with greater networking bandwidth as well as efficient network

data processing. The major concern with the multi-port network devices is the performance. Today’s

resource-intensive engineering and technology applications deals with the server virtualization,

consolidation, high-volume data transactions and real-time technologies such as VoIP and video on

demand. The operations requires the sufficient network bandwidth and CPU processing speed to process

the data at a real time and this demand is continue to grow. The newer multi-port hardware technologies

provide performance improvements in virtualized server environments. But, hardware technologies

having their own limitations in terms of power consumption, CPU utilization levels, latency and more

importantly cost. This thesis will discuss some of the key software designs as well as configuration

decisions, to facilitate multi-port network devices to improve the performance over the existing

infrastructure. This will provides the solutions such as symmetric network and Virtual LAN to overcome

the hardware dependency and cost required to significantly improve the multi-port network system

performance over the current infrastructure. This improved performance includes bandwidth and CPU

utilization under the heavy network loads.

Comparative measurement of performence parameters of AODV & DSDV

Routing Protocols for Wireless Network based on NS2

Mohsin Isak Jamadar, Mr. Shailesh Jadhav

[email protected]


ABSTRACT

To design any wireless network, routing and protocol selection are of important consideration. In Mobile

Ad hoc Networks (MANET), routing protocols should have best throughput with minimum delay. And

also should have good Packet delivery ratio in adverse conditions,So the performance in critical situations


is the main concern of mobile networks. In this project, wireless network of mobile nodes has been

compared with defined parameters and the relative analysis is carried out on Ad hoc On-demand Distance

Vector (AODV) and Destination Sequenced distance Vector (DSDV) protocols using NS2 simulator. The

Packet delivery ratio, node connections, node mobility are the common parameters used for the

comparison.

Skinput : Appropriating the Human Body as an Input

Pallavi Ramesh Khate, Prof. Manoj Sonawane

[email protected]


ABSTRACT

Abstractâ€” In this paper the work has been done on the sensitivity of human skin in such a manner that it

can be used as a touch screen. In this work human skin will be used as a touch screen as in mobiles,

laptops, tablets and all other electronic gadgets. If user find them getting annoyed at the tiny touch screens

on today's mobile devices, they might be interested in a "new" yet overlooked input surface. A new skin-

based interface called Skinput allows users to use their own hands and arms as touch screens by detecting

the various ultralow-frequency sounds produced when tapping different parts of the skin. Latest tools

available are used to simulate the results.

Keywords: Skinput, Bio-acoustics, Pico Projector, Acoustic Detector, Armband Prototype & Audio

Interfaces.

Ethernet Performance Improvement in Multi-port Network System

Nalawade Tanaji Shankar, Prof. Monali Chinchamalatpure

[email protected]


ABSTRACT

Ethernet network devices have their own space and importance in the network age. The real time

operations demand the network devices with greater networking bandwidth as well as efficient network

data processing. The major concern with the multi-port network devices is the performance. Today’s

resource-intensive engineering and technology applications deals with the server virtualization,

consolidation, high-volume data transactions and real-time technologies such as VoIP and video on

demand. The operations requires the sufficient network bandwidth and CPU processing speed to process

the data at a real time and this demand is continue to grow. The newer multi-port hardware technologies

provide performance improvements in virtualized server environments. But, hardware technologies


having their own limitations in terms of power consumption, CPU utilization levels, latency and more

importantly cost. This thesis will discuss some of the key software designs as well as configuration

decisions, to facilitate multi-port network devices to improve the performance over the existing

infrastructure. This will provides the solutions such as symmetric network and Virtual LAN to overcome

the hardware dependency and cost required to significantly improve the multi-port network system

performance over the current infrastructure. This improved performance includes bandwidth and CPU

utilization under the heavy network loads.

Detection of Acute Myelogenous Leukemia in Blood Microscopic Images by

Using Neural Network

Shweta Vishnu Awatade, Monali Chinchamalatpure

[email protected]


ABSTRACT

Blood cancer is a form of cancer which attacks the blood, bone marrow, or lymphatic system. It is

diagnosed with a blood test in which specific types of blood cells are counted by hematologist. We

considered only acute myelogenous leukemia which is one of the blood cancer types which categories

under acute leukemia and it mostly comes among adults and children. Need for automatic diagnosis of

leukemia arises when doctors recognize cancers under a microscope which has complete manual work

and it’s not good for the patient. The Automatic diagnosis system will help hematologists for easier

identification and early detection of leukemia from blood microscopic images and indirectly improves the

chances of survival for the patient. This Proposed work will mainly have composed of four main stages,

viz. preprocess stage, segmentation stage, feature extraction stage and classification stage respectively.

The condition of a patient will be shown as normal or abnormal status with the help of classifier. The

overall system performance is evaluated using the defined parameters such as sensitivity, specificity, f-

measure, and precision which are used for calculating the accuracy.

2 AXIS CO-ORDINATE MEASURING MACHINE USING PLC FOR

SMALL APPLICATIONS

Bharat Rajendra Ghorpade, Prof. Monali Chinchmalatpure

[email protected]


ABSTRACT


The essence of this project is the designing & development of a Coordinate Measuring Machine (CMM)

for small and medium scale industries. In coordinate measuring machine (CMM), there is a need to

measure the same feature repeatedly, such machine can be useful for bulk quantities. In this research

work, calculation of dimensions is obtained with a touch probe and the work volume of the machine is

selected as 500 X 500 mm2.

IOT based reconfigurable smart sensor interface for industries using ARM

Pallavi Pandurang Karamkar, Prof Monalli

[email protected]


ABSTRACT

This project is used to measure and control the various parameters like Temperature, Ph and turbidity of

water in industries in process automation so as to ensure the quality of water . For this purpose various

sensor are used which records the value of Ph turbidity and temperature in real time and it on display on a

LCD. These parameters are sensed by respective sensors and sensor output is amplified and given to ADC

of the ARM Microcontroller and through GSM it is send to the user for calibration.

Along with this, implementation of Ph controlling facility remotely with help of mobile and when the

value goes above predefined set range to control it with the help of dozing pump connected to the system.

The project evolves Design of Ph sensor and amplifier,Temperature transducer design and turbidity

sensor amplifier and IR sensor.

Time Attendance and Access Control System

Neeraj Sanjay Kale, Dr. P. H. Patil

[email protected]

Dr. D. Y. PATIL COE, TALEGAON [067]

ABSTRACT

Attendance recording and management has become very important in today’s world. Attendance is one of

the ethics valued by many employers and educational institutions. Many small scale companies and

colleges are still using the paper based method for recording and maintaining attendance. This register

keeping method is prone to manipulation and impersonation. A fingerprint and RFID based attendance

recording system would be an ideal solution. This paper provides the design method for a time attendance

and access control system based on fingerprint, RFID, WiFi and APIs which will help in designing web

based applications.


Fault Tolerance System for Combinational Circuits Based on Selective

Transistor Redundancy

Gadekar Jyoti Maruti, Dr. P. H. Patil

[email protected]


ABSTRACT

Due to advancement in CMOS technology and shrinking of feature size to nano scale, systems are turning

out to be more susceptible to manufacturing defects and soft errors. This paper is focused on designing

combinational circuits for soft error tolerance with minimal area overhead, which is necessary to

overcome error probability. The idea is based on analysing random pattern testability of faults in a circuit

and protecting sensitive transistors, whose soft error detection probability is relatively high, until desired

circuit reliability is achieved or a given area overhead constraint is met. Protection to transistors is

provided by duplicating and sizing a subset of transistors necessary for providing the protection. The

proposed algorithms are used to protect sensitive transistors whose probability of failure is relatively high

and to compute the circuit failure rate/reliability at the gate level. Simulation results show that the

proposed algorithms achieve better soft error rate reduction than other transistor sizing-based techniques.

Smart Poultry Farm Automation and Monitoring System

Geetanjali A. Choukidar, Prof. N. A. Dawande

[email protected]


ABSTRACT

Integration of wireless sensors and GPRS network can be used for efficiently controlling and monitoring

environmental parameters in a poultry farm. The environmental parameters like temperature, humidity,

ammonia gas control etc. Operator can get updates regarding the internal environmental situation of

poultry farm by receiving a message on registered mobile number; he can also access the data using a web

page. System will initiate the action automatically to control the environmental parameters when there is a

sudden change in climate. Sensors are used to control Water level and food dispensing mechanism. All

the sensors are connected with the raspberry pi which can control and monitor all data. The data is

transmitted using GPRS, and detailed record of poultry farm with environmental condition can later be

stored and viewed on a webpage. Thus the system design provides an efficient automated poultry farm

monitoring system to monitor the healthy atmosphere for chickens in poultry farm without human

interference.


Analysis Of Dynamic Voltage Comparators in Ultra-Low Supply Voltages For

High Speed ADCs

Vaishali Dattatrya Jamalpure, Prof. N. A. Dawande

[email protected]


ABSTRACT

The conventional dynamic comparators have features like high input impedance, no static power

dissipation and good robustness against noise and mismatch. The need for ultralow power and area

efficient analog -to- digital converters (ADCs) is pushing towards the use of low voltage CMOS dynamic

comparators to maximize the power efficiency and speed. The drawback is that large numbers of

transistors are used to minimize the offset, so the speed of the comparator is degraded. It reduces

drawbacks, But the transconductanceis low for this comparator. In low power double tail comparator,

without complicating the design and by adding few transistors the positive feedback in the regeneration is

strengthened with results in reduced delay time. In this work, I am going to focus on analyzing the delay

of different dynamic comparators with respect to speed and supply voltage. Then based on the delay

analysis results, the conventional dynamic comparator is modified in terms of transistor technology and

architecture results as body driven comparator for fast operation even in ultra low supply voltages in

90nm CMOS technology. The objective is to reduce the delay and increase the speed of transmission. I

will then also modify the proposed design to further reduce the transistor count so as to change area. And

will compared the delay analysis of proposed design with existing systems.

Simulation Analysis of Multimodal Biometric Recognition using Artificial

Neural Network

Satish Babar, Dr. P. H. Patil

[email protected]


ABSTRACT

Personnel identification and verification systems are emerging fields in recent years. Biometric

identification is considered as best method for offering security, to avoid unauthorized access.

Multimodal biometrics is used now a days because the previously used unimodal biometric system has

various drawbacks such as unacceptable error rates, noisy data and variations. So a reliable and better

recognition system requires robust multimodal biometric systems. Here, a new multimodal biometric

system is proposed for recognition purpose called Artificial Neural Network (ANN). Face and Ear are the

two traits used here. The benefit of using ANN is that it has got that mush tolerance level that even if

captured image is little bit vary from its original place or position, ANN will not through an error. Paper

presents the simulation results of the human identification using ANN. Error reduction is done by using

haar filters. We have to train the system to identify or match the face and ear. Based on the input image

comparison will be done and system will produce the results accordingly.


Different Orientation Based Fingerprint Recognition

Kaveri Vilasrao Bhagat, Prof. S. R. Gulhane

[email protected]


ABSTRACT

Fingerprint recognition is one of the method to identify between two or more persons. This method is

commonly applicable in many industries, The technology provide higher security than traditional methods

such as signature, pins, smart cards etc. With the help of features which are extracted from human

fingerprints the input image is analyzed and compared with database to find authorized person. Oriented

images are also recognized with the help of different algorithms such as DWT with Gabor filter, haar

wavelet transform. By using these algorithms here we recognized different oriented images such as

0Â°,45Â°,90Â°,etc.

Aging-Aware Reliable Multiplier Design With Adaptive Hold Logic

Sushant Jalindar Sawant, Prof S. S. Badhe

[email protected]


ABSTRACT

Digital multipliers are among the most critical arithmetic functional units. The overall performance of

these systems depends on the throughput of the multiplier. Meanwhile, the negative bias temperature

instability effect occurs when a pMOS transistor is under negative bias (Vgs = âˆ’Vdd), increasing the

threshold voltage of the pMOS transistor, and reducing multiplier speed. A similar phenomenon, positive

bias temperature instability, occurs when an nMOS transistor is under positive bias. Both effects degrade

transistor speed, and in the long term, the system may fail due to timing violations. Therefore, it is

important to design reliable high-performance multipliers. In this paper, we propose an aging-aware

multiplier design with a novel adaptive hold logic (AHL) circuit. The multiplier is able to provide higher

throughput through the variable latency and can adjust the AHL circuit to mitigate performance

degradation that is due to the aging effect. Moreover, the proposed architecture can be applied to a

column- or row-bypassing multiplier. The experimental results show that our proposed architecture with

16 Ã—16 and 32 Ã—32 column-bypassing multipliers can attain up to 62.88% and 76.28% performance

improvement, respectively, compared with 16Ã—16 and 32Ã—32 fixed-latency column-bypassing

multipliers. Furthermore, our proposed architecture with 16 Ã— 16 and 32 Ã— 32 row-bypassing

multipliers can achieve up to 80.17% and 69.40% performance improvement as compared with 16Ã—16

and 32 Ã— 32 fixed-latency row-bypassing multipliers.


Speech Emotion Recognition with Gender and Tone Identification

Rushikesh Anand Gade, Prof. S. R. Gulhane

[email protected]


ABSTRACT

This paper proposes a system that permits recognizing a person’s emotional state beginning from audio

signal registrations. As of late, studies have been performed on harmony features for speech emotion

recognition with gender and tone features. It is found in our review that the first- and second-order

differences of harmony features also play an important role in speech emotion recognition. Therefore, we

propose a new Fourier parameter model uses the perceptual content of voice quality and the first- and

second-order differences for speaker-independent speech emotion recognition. The newer feature

extraction algorithm called Power Normalized Cepstral Coefficients (PNCC) that is motivated by sound

processing. Major new features of PNCC processing include the utilization of a power-law nonlinearity

that replaces the conventional log nonlinearity utilized as a part of MFCC coefficients, a noise-

suppression algorithm based on asymmetric filtering that suppresses background excitation, and a module

that accomplishes temporal masking. We additionally propose the utilization of medium-time energy

analysis, in which environmental parameters are estimated over a longer duration than is usually used for

speech, as well as frequency smoothing. The obtained results show also that the features selection

adoption assures a satisfying recognition rate and allows diminishing the employed features. Future

improvements of the proposed solution may be include the implementation of this system over mobile

devices such as smartphones.

Advancement of brain tumor detection using SOM-Clustering and Proximal

Support Vector Machine than using Combination of Fuzzy C-Means and

SVM

Vidhate Ashok Dnyandeo, Prof. S.G. Hate

[email protected]

G. H. RAISONI COE & MANG. AHMEDNAGAR [066]

ABSTRACT

In recent days, image processing is an interesting research field and mainly the medical image processing

is increasingly challenging field to process various medical image types. In this paper we have find out

advanced technique for detection of brain tumor using SOM-clustring for image segmentation & PSVM

is used to automatically detect the tumor from MRI brain image the result is compared with existing a


hybrid technique based on the support vector machine (SVM) and fuzzy c-means. The result shows the

accuracy comparison result of existing SVM and proposed PSVM algorithm, it is well known that the

proposed system works better than existing SVM system with the high accuracy, high precision rate,

high recall rate as it has less execution time than the SVM algorithm.

Design and Analysis of Frequency Reconfigurable Microstrip Patch Antenna

Kalamkar Sanket Shrikant, Prof. Bhope V.P.

[email protected]

G. H. RAISONI COE & MANG. AHMEDNAGAR [066]

ABSTRACT

Antennas are necessary and vital components of communication and radar systems however their ability

to adjust to new operating scenarios can limit system performance. Recent developments in the field of

radar technology continue to drive the requirements for reconfigurable antennas which can adjust with

changing system requirements or environmental conditions and provide additional levels of functionality

that may result in wider instantaneous frequency bandwidths, more extensive scan volumes, and radiation

patterns with more desirable side lobe distributions. To overcome the challenges of multi-frequency

operation a new scheme of frequency reconfiguration is proposed. In the proposed design a rectangular

patch antenna with inverted â€˜U’ shaped slot at the center frequency 9.5 GHz that can be reconfigured in

the frequency range of 5.3- 5.7 GHz . PIN diodes are used for carrying out reconfiguration. The antenna is

designed on FR4 substrate (Îµr= 4.4) of thickness (H) 0.8 mm. The proposed structure was simulated by

using the High Frequency Structure Software (HFSS). The simulated and experimentally measured return

loss for different configuration are less than -10dB at resonance frequencies. The simulated are very

exciting and show the close agreement with proposed design.

Energy Efficient Storage-Less And Converter-Less Renewable Energy

Harvesting System Using MPPT

Supriya Gaikwad, Ms.Munmun Ghosal

[email protected]

G.H.RAISONI CEM, WAGHOLI [46]

ABSTRACT

Harvesting energy from the renewable resources give many benefits for internet of things, low power

networks like in WSN & also high power indoor apps. Most practical soln. of generating power from

waste or the natural renewable resources such as PV cells, wind turbines etc. when measured in terms of

power density in the available energy harvesting sources. PV power systems mandate the maximum

power point tracking to collect useful & max.Possible solar energy while dc motor help us harvesting


kinetic energy.In traditional switching mode converters an energy storage element provides power to the

load device, thus increasing the overall cost in terms of volume ,weight, also a significant loss in

energy,typically above 20%.This project will majorly focus on harvesting solar & kinetic energy to

supply directly to the load device & increasing the overall efficiency throughout the day & night for low

power apps, internet of things, & indoor apps.

Data Transmission using an Efficient Tree-Based Self-Organizing Protocol

Arti Ramrao Mandlik, Ms.Bharti Patil

[email protected]


ABSTRACT

The use of Wireless Sensor Network to handle more complex functions is increasing drastically. We

proposed methods and algorithms to implement ETPS (Efficient Tree-Based Self Organizing Protocol) a

new Network model and route algorithms to improve reliability and efficiency of communication. In

ETSP, all Nodes are partitioned into two kind: Network node and non-Network node. For joining the

network we use self organizing process, in that we use different metrics such as child node, hope,

communication distance and residual energy to reach available sink node. With maximum weight we

select the sink node. Tree Network is formed layer by layer when Non-Network node can be transformed

into Network node. These tree network topology is adjusted dynamically to balance energy consumption

and prolong network life time. Simulation results show that our proposed protocol can construct a reliable

tree-based network with higher success rate at very fast timing.

Close Human Interaction Recognition Using Patch Aware Model

Pradhnya Pawar, Ms.Bharti Patil

[email protected]


ABSTRACT

This project identifies close interacting human with close physical contact from recordings. Because of

ambiguities in individual's features, continuous impediments in close interactions, it is difficult to

precisely extract the interacting individuals and their suspicious activities/actions. This impacts the human

recognition model. Here we propose a model which captures temporal dynamics of human actions and

associates an arrangement of hidden variables with spatio-temporal patches and discriminatively interpret

their states. This demonstrates the individual that the patches have a place with. This patch aware-model

records distinguishable supporting regions of people, and overcomes the issue of ambiguities in highlight


assignments. Utilizing the discriminative supporting areas, our model precisely acknowledges

communicating human and their actions.

DECENTRALISED AUTONOMOUS ENERGY SUPPLY AND

MONITORING SYSTEM FOR RURAL AREAS

Pooja Ahirwar, Ms.Munmun Ghosal

[email protected]


ABSTRACT

Autonomous and decentralized energy with renewable sources present an effective approach for an

economic energy supply to rural areas. Advanced control methods are needed to improve the energy

dispatch, enable a cost efficient operation and guarantee an uninterrupted power supply. A real-time

energy monitoring system for grid tied Photovoltaic installations is to be developed. This system consists

of an advanced control strategy for the optimal microgrid operation. The first optimization layer presents

an optimal control problem, based on real-time predictions of future power profiles, for the calculation of

the optimal energy dispatch. To improve the robustness of the control strategy toward prediction errors, a

boundary value problem is solved to adjust the diesel generator power in the second stage & then at the

other receiving end displays the real-time graph of the generated solar energy and the total energy

consumed by the load, in this case, a residential load.

FPGA Implementation of DWT for ECG Signal Pre-Processing

Ashwini Deshmukh, Ms.Manish Waje

[email protected]


ABSTRACT

In recent years, biosensors (ECG) have played an important role in the determination of pesticides,

because the compounds used in its composition have anticholinergic properties and therefore strongly

inhibit cholinesterase enzymes. Evaluation of cholinesterase activity is the crucial factor in the

construction of biosensors, however, in the case of multi-component samples is absolutely essential

include appropriate data processing tools to find relationships between the biosensor responses and the

measured data. In most cases, it is necessary a first data pretreatment step in order to explore and validate

these obtained information. The presence of interference signals in the biosensor response mainly

contaminated by signals coming for the electrochemical equipment. Wavelet Transform has been widely

employed in signal processing analysis where denoising and compression is an important step in the data

mining process. WT has been proved to be fast and reliable than traditional methods.


Smart Public Transport System

Anita R.K Vishwakarma, Mrs.Manisha Waje

[email protected]


ABSTRACT

The project has been developed to provide public Smart Assistance in Public Transport System. The

project is to be implemented for public bus .It has entire smart assistance system required for public

security, safety. The smart system includes safety form rash driving as well. It has accident detection and

monitoring facility. It is user friendly application for user to track bus on smart their phones. The smart

system designed has both online and offline for user friendly service. It allows user to save its time by

acknowledging no. of persons present in the bus as well as no. of seats available in the bus along with the

current and next stop acknowledgment with its arrival timings. It also has ramp facility for handicap

people. The system also many additions feature to make public transport system an intelligent and easy to

use system that,It can take smart advantage of it.

Fault Tolerance Technique for FPGA Implementation of Cryptographic

Circuit

Rahul Prakash Karpe, Mrs. Vaishali Raut

[email protected]


ABSTRACT

Reconfigurable devices are the programmable devices used to execute complex capacities in applications

like space missions, correspondence frameworks, atomic frameworks and so forth. They are prominently

known as the field programmable gate array (FPGAs). The FPGA is used in many applications such as

cryptography, reliability of hardware is very much vital. The framework or system should be designed as

a fault tolerant system. Fault tolerant is the capacity of a system to work typically given the state of

defects or in any faults i.e. stuck at 1, stuck at 0. FPGAs have made it possible to consolidate adaptation

to internal failure into frameworks at less expensive cost. In order to design fault tolerance technique the

idea of TMR that is Triple Modular Redundancy is utilized.


Co-ordinated Beamforming Technique Using MIMO for Underlay Spectrum

Sharing

Tejashree Khanderao Bhosale, Mrs. Tanuja Dhope

[email protected]


ABSTRACT

The beamforming strategies have been as of late

concentrated on as could reasonably be expected empowering

influences for underlay range sharing. The current beamforming

strategies have a few basic impediments: they are generally

framework model particular, cant work with discretionary

number of transmit/get recieving wires, and cant serve

discretionary number of clients. Additionally, the beamforming

methods for underlay range sharing dont consider the obstruction

starting from the officeholder essential framework. This paper

enhances the fundamental underlay sharing model by melding

the impedance beginning from the inhabitant system into insipid

joined beamforming plot that can be associated on impediment,

impart, or diverse get to channels. This hypothesis proposes two

novel multiuser beamforming figurings for aggregate rate and

decency enhancement and aggregate rate help, utilizing as of late

decided angled change issues for transmit and get beamformers

estimation in a recursive progression.

Efficient Utilization of the channels for Multicasting Wireless Multimedia in

Multi- rate Multi- channel Mesh Networks.

Shruti Shinde, Meeta Bakuli

[email protected]


ABSTRACT

The devices that are present in wireless mesh networks (WMN) automatically adjust their transmission

rates for those occupied channels and operates on multiple channels. This paper shows how to enhance

the execution ensured performance oriented multicasting transmission coverage for wireless mesh

networks (WMN) remote by investigating the transmission offered by multiple rates (MR) and multiple

channels (MC). For this, we propose parallel low-rate transmissions (PLT) and alternative rate

transmissions (ART) and then apply these new transmission schemes to enhance the WMN multicast

experience. For the reliable interference-controlled connections, the MRMC multicast algorithm (LC-


MRMC) is intended to make productive utilization of channel and rate resources to significantly broaden

wireless multicast coverage with greater throughput and short delay performance.

Keywordsâ€”Â Wireless multicast, multi-rate, multi-channel, wireless mesh networks.

The smart bar axle in car

Abhishek Yadav, Dr Ashish Gupta

[email protected]


ABSTRACT

Over the last few years, automotive electronics and wireless technologies have grown by leaps and

bounds.1 Advancement in these technologies, combined with device convergence and changing lifestyle

demands, are enabling the automobile to extend the driving experience beyond traditional vehicle

transport. Vehicles face growing security threats as they become increasingly connected with the external

world. Hackers, researchers, and car hobbyists have compromised security keys used by the electronic

control units (ECUs) on vehicles, modified ECU software, and hacked wireless transmissions from

vehicle key fobs and tire monitoring sensors, using low-cost commercially available tools. However, the

most damaging security threats to vehicles are only emerging. One such threat is malware, which can

infect vehicles in a variety of ways and cause severe consequences. Defending vehicles against malware

attacks must address many unique challenges that have not been well addressed in other types of

networks. This paper identifies those vehicle-specific challenges, discusses existing solutions and their

limitations, and presents a cloud-assisted vehicle malware defense framework that can address these

challenges.

Clothing pattern recognition for visually impaired people

Tejas Prashant Walvekar, Mrs.P.Reddy

[email protected]

G.H.RAISONI IET, WAGHOLI [54]

ABSTRACT

Abstract- Visually impaired people find it very difficult while choosing clothes with complex patterns and

colors. Pattern Recognition techniques can be implemented to carry out automatic clothing pattern

recognition. For last few decades, researchers find Automatic clothing pattern recognition as a

challenging research problem considering the factors of scaling, illumination, rotation and especially large

intra class pattern variations. A camera based system can be used to recognizes the clothing patterns in

different categories and also to identify few basic colors. Features of the captured image can be extracted


using few special functioned descriptors. After identifying the features, SVM (support vector machine)

classifies the images in order to their categories. Clothing pattern dataset can be used to identify

effectiveness of the system.

Background Subtraction Algorithm Based Abandoned Object Detection

Trupti Mukund Bhumkar, Mr.N.B.Hulle

[email protected]


ABSTRACT

Abstract- Abandoned object detection is a basic necessity in numerous video observation settings. Two

background short term and long term are built and refreshed persistently continuously. Change detection

Mean-ratio and Log Ratio operators can be utilized. To accomplish higher exactness combination.

Movement based criteria should be connected for static and moving object detection. Proposed strategy

can distinguish little deserted objects inside low quality observation recordings, and it is additionally

strong to the fluctuating illuminations and dynamic background.

Psoc Hardware of the LSB Image Steganography

Swati Gangadhar Patil, Mr.A.M.Bongale

[email protected]


ABSTRACT

Abstract- This paper displays a data concealing procedure that uses lifting plans to adequately shroud data

in shading pictures. A fruitful data covering up ought to bring about the extraction of the concealed

information from the picture with high level of information honesty. Current patterns support utilizing

advanced picture documents as the cover record to conceal another computerized record that contains the

mystery message or data.

Diverse floods of computerized media can be utilized as a cover stream for a mystery message.

Steganography is the specialty of composing mystery messages so that exclusive the sender and the

expected beneficiary know about the concealed message. This paper presents a strategy for mystery

message encoding that makes utilization of wavelets. Wavelets separate the stream into high and low

recurrence segment parts called points of interest and patterns.


Real time Object Tracking and Detection Using Raspberry Pi

Dhanashri Vijayrao Madhekar, Mrs.M.R.Bachute

[email protected]


ABSTRACT

Abstractâ€”Detection and tracking of moving object is a challenging task. In this paper algorithm for real

time detection and tracking of object is proposed. The system consists of camera and Raspberry pi and the

PC. Camera continuously captures the video. It is send to Raspberry pi for further processing. Blob

detection analysis is performed in which objects gets detected based on their shapes. Bounding box

algorithm is applied which continuously tracks the object based on information from the boundary pixels

by using horizontal and vertical scan from left to right and top to the bottom to locate the boundary

points. These boundary points are used to track the object through boundary box.

Implementation and Analysis of Authentication in Wireless Sensor Network

using Zigbee

Smita Shashidhar Kulkarni, Mr. A.D.Bhoi

[email protected]


ABSTRACT

Most Wireless Sensor Network (WSN) consist of various sensor nodes deployed at various locations. As

these nodes are deployed at remote locations their security issue gains importance. Algorithms used for

security depends on key size, computational time, power requirement. There are various symmetric and

asymmetric cryptography algorithms like AES, DES, 3DES and RSA, ECC algorithm etc. Symmetric

algorithm have advantages, as same key for encryption and decryption, lower power consumption.

Asymmetric cryptography includes complex computations so hard to decrypt but also require more power

than symmetric cryptographic algorithms. So considering advantages and disadvantages of both

cryptographic techniques, in this proposed system, combining of AES and ECC for Wireless Sensor

Network (WSN) using ZigBee. In this system data gathered from temperature, humidity and smoke

sensor are applied to ECC encryption and then send to ZigBee transmitter. At receiver side data is

decrypted using ECC algorithm and original data is recovered.

Reconfigurable hardware implementation of fused add multiply operator

Mohammed Ilyas Shaikh Khwaja, Mr.V.A.Suryawanshi

[email protected]



ABSTRACT

Abstractâ€”Arithmetic operations are now a days used in digital signal processing applications.Here we

will focused on implementation of fused add multiply operator. For getting recoding of sum of two

numbers we will implement a technique called sum of two numbers in its modified booth. We introduce

three different types of recoding technique. For using actual recoding technique we will compare with

Fused add multiply designs. Here the technique which will be used that reduced some factors like delay,

complexity ofhardware and power consume of the Fused add multiply unit.

Performance Analysis of Route Discovery Model based on RSS

Sayali Ghogare, Mr.A.D.Bhoi

[email protected]


ABSTRACT

Recently wireless communication devices have increased and therefore it has created the need for

developing new technologies. There is an increased user demand to communicate with each other

without relying on any infrastructure. A Wireless Ad-hoc NETwork (WANET) or Mobile Ad-hoc

NETwork (MANET) has no centralized control, no topology and is infrastructure-less. In MANET few

nodes come together to form network. Even if the source and the destination nodes will not be in direct

communication range, still they connected to each other with multi-hop scenarios. In this paper an

efficient route discovery algorithm for finding the shortest path between two nodes which are randomly

moving in the free space are considered. Calculating and analyzing the relationship of RSS with the

changing node distance for different protocols is studied. The focus will be given on the simulation and

analysis of the behavior of routing protocols for MANETS.

Model based design for noise removal by spectral subtraction for hearing Aid

Kuldeep Sudhakar Kapse, Mr.N.B.Hulle

[email protected]


ABSTRACT

Abstractâ€”This article deals with the removal of noise signal in the audio signal with the spectral

subtraction of the noise and sub-band amplification for the improving the intelligibility of speech in signal


for the hearing aid so that the person experiences the good quality of the speech signal over the analog

hearing aid in the market with the less power consumption as compared with analog hearing aid.

yawning detection to prevent road accidents

Amruta Sanjay Kaitake, Mr.V.A.Suryawanshi

[email protected]


ABSTRACT

For the safety purpose of drivers yawning detection is very important. There are many important

applications of yawning in a drivers fatigue detection, humans well behavior, driving behavior and

understanding the language of tongue disability person. It is observed that heavy vehicle drivers keep

going continuously driving without giving a frequent rest period. Considering above applications, an

automatic detection of yawning is one important system component. Uptil now yawning detection system

does not satisfy the real time requirement which is having a high computational complexity and does not

satisfies the challenges like facial obstruction, ease of implementation, accuracy and safety. Uptil now

there is no any idea suggested or presented on vehicle side hardware. In this paper we will be reviewing

hardware of engine start or stop control by using microcontroller.

For yawning detection two different algorithms are used such as for face viola-Jones and mouth detection

contour activation algorithm. Previously presented systems are in position to recognize other persons

faces while finding the biggest face in all of the frame that we are interested and other faces also

considered, hence face search time is not optimized. By studying these disadvantages of traditional

yawning detection method possible improvement algorithm is proposed.

N, P, K Detection & Control for Agriculture Applications using PIC

Controller

Laxmi Gavade, Mr.A.D.Bhoi

[email protected]


ABSTRACT

The main way of this paper is to review different detection of N, P and K contents, humidity of the soil by

using sensors and also monitor the temperature and sunlight in the agricultural field. Computation of N

(Nitrogen), P (Phosphorus), and K (Potassium) accessories of soil is necessary to decide proper

percentage of nutrients is to be added in the soil to increase crop fertility. This civilizes the property of the

soil which in turn yields a good quality crop.


In the present work fiber optic based color sensor has been dilated to decide N, P, & K values in the soil

sample. The color sensor is based on the principle of absorption of color by solution. It helps in

determining the N, P, K amounts as high, medium, low or none.

The sensor probe along with proper signal conditioning circuits is built to detect the deficient component

of the soil. It is helpful in dispensing only required amount of fertilizers in the soil.

Implimentation of wireless sensor Network with ESP-12E and linux

Raspberry Pi in Heating,Ventilation and Air Conditioning Application.

Khot Prashant Tukaram, Mr.N.B.Hulle

[email protected]


ABSTRACT

Internet of Things is an arising technology in this decade. According to market researcher 50 billion

devices will get connected to internet by 2020. The Heating, Ventilation and Air-Conditioning is mainly

distributed sensor network. In which, Air Handling Unit Handles Air as per Temperature Requirement

Zone wise. In Traditional HVAC System, all AHU are connected to Building Management System

(BMS) through MODBUS or RS232. Adopting New technology of IOT in this field is the focus of this

Project. ARM based Raspberry Pi 3 and Low Cost, Low power Wi-Fi module ESP-12E are key Hardware

of this project. Sensors DS18B20 and DHT11 are used for measuring Temperature and Humidity. The

Raspbian OS based Raspberry Pi 3 B with Apache2 is a small and efficient web server used as Central

Unit whereas ESP-12E are used as wireless node which communicate with central unit through Wi-Fi. All

Sensors Data is processed and stored in MySQL database. The Web-UI gives monitoring and controlling

ability of Full System to User from anywhere in world.

Novel Advanced Encryption Standard(AES) Implimentation approach using

Genetic Algorithium

Nevase Amit Madhukar, Mr.N.B.Hulle

[email protected]


ABSTRACT

During the last few years, in the field of electronic data transmissions cryptography has vital importance.

Advanced Encryption Standard (AES) designated by National Institute of Standards and Technology

(NIST), to overcome the disadvantages of Data Encryption Standard (DES). The AES is widely used

encryption algorithm in different security applications. The AES standard uses key size of 128, 192 and


256 bit to provide more secure data. AES generates keys through the properties of the Rijndael Algorithm

instead of conventional method of the key generation. This project introduces a new encryption technique

where the Genetic Algorithms are used for key generation, this generated key is used for formation of S-

Box. This new approach for AES S-Box to enhance the complexity of the structure of S-Box, making

AES stronger by using Dynamic S-Box. In the hardware aspect, larger key size also means large area and

minimum throughput. This project also introduces the pipelining architecture to increase the throughput.

Advance Encryption algorithm can be relatively efficiently implemented in software on general-purpose

processors, there is still a need for selection of better architecture for implementation of Advanced

Encryption Standard. This project also presents the suitable FPGA architecture to implement Advanced

Encryption Standard.

Face Recognition System based on Principal Component Analysis

Harshada Kardile, Mrs.Varsha Nanaware

[email protected]


ABSTRACT

Face recognition is the bio metric technology for the purpose of authentication of the person for particular

applications. It has wide range of applications such as banking access control, human computer

interaction, information security, database retrieval, virtual reality etc. In proposed system face

recognition system based on Principal Component Analysis is implemented. In this system, face gets

recognized after feature extraction and principal component analysis. System sends one time password to

person’s mobile number through GSM modem. This is the second level authentication of the person. The

whole algorithm is implemented in MATLAB.

Development of Inertial Navigation System based on Accelerometer and

Gyroscope

Sai Prashant Ambildhok, Mr.N.B.Hulle

[email protected]


ABSTRACT

The navigation system provides the position and velocity of the object which plays key role in many

applications. It becomes necessary to design and implement inertial navigation systems. In this paper, we

proposed inertial navigation system based on arduino microcontroller in which measurements are

provided by IR sensor and MPU 6050 sensor which is a combination of accelerometers and gyroscopes.

The sensor gives position of the object from its starting point, distance travelled by the object, orientation


and velocity of an object.IR sensor measures the distance based on the rotation of the vehicle. Based on

the distance and direction of vehicle buzzer gets on indicating that vehicle is going outside the restricted

area. These data is send to PC and its motion results are plotted in MATLAB.

Fault detection for PLC

Alok Shrikant Pawar, Sachin B. Abhang

[email protected]

JSPM Narhe Technical Campus, Narhe [100]

ABSTRACT

Currently, industry are abundant with various automation solutions at various manufacturing system.

These systems are critical for maintenance for operator and the output of automation solution are

expected to provide throughput at its best. The detection of real-time faults and its diagnosis are very

critical operations. As various sensors are interfaced in all types of automobile system that have stretched

the limits for any Programmable Logic Controller (PLCs) and due to this some of the specific PLCs are

only applicable of the automation system. Automation system consists of major part as actuators, MEMS

sensors and along with some complex logic control circuit that has add complexity to the overall system.

This paper discuss the faults detection that is related to timing and its methodology of detection for PLC.

Monitoring Driver Distraction in Real Time using Computer Vision System

Ankita Sadashivrao Kulkarni, Sagar.B.Shinde

[email protected]


ABSTRACT

Drivers with a fatigue condition have always become basic problem for many accidents. Driver supposes

required to identify the object in front of the vehicle and need to understand the causes of accidents and

trouble in vehicle control. Now a day with the increasing traffic conditions, possibility for accidents is

increased in a large space because driver is unable to detect themselves the type of fatigue condition they

are suffering while driving. So the reason we are going to develop the system which always monitors

driver’s to avoid accidents in real time. This paper describes dissimilar methods existing for detecting the

crisis of driver vigilance and then with comparison of all also chooses best system out of those accessible.

As of comparison with all existing methods we have implemented a device which always monitors driver

vigilance in real-time using computer vision system which consist of main components as, Raspberry Pi

which is specially designed for hardware platform, video camera, and the alarm system for alerting.


Design & Analysis MIMO Microstrip Antenna with Improved mutual

coupling For WLAN Application

Jadhav Gauri Krushnat, Sachin Abhang

[email protected]


ABSTRACT

Multiple transmit and multiple receive antennas has emerged as one of the most significant

technicalbreakthroughs in next generation wireless communications. MIMO is considered a key

technology for improving the throughput of future wireless broadband data systems; MIMO is the use of

multiple antennas at both the transmitter and receiver to improve Communication performance. MIMO

technology has attracted attention in wireless communications, because it offers Significant increases in

data throughput and link range without requiring additional bandwidth or transmit power, higher spectral

efficiency and reduced fading. Because of these properties, MIMO is an important part of modern

wireless communication standards such as IEEE 802.11n (Wifi), IEEE 802.16e (WiMAX), 3GPP Long

Term Evolution (LTE), 3GPP HSPA+, 4G and 5G systems to come.

MIMO systems employing wideband microstrip patch antenna is the fastest growing field of technology

which has captured the attention of day to day life in the future Wireless Communications due to their

tremendous spectral efficiency.The most pressing problems in Wireless Communications will be spectral

efficiency and interference in the next decade. Wireless Internet, mobile video and data communication

will push the spectrum to its limitations. In the same way interference with other services will be

increased by the increasing use of spectrum. Taking this into the account the most prominent task is to

increase the spectral efficiency and to introduce measures for interference reduction. MIMO systems

promise to reach very large data rates and there with high spectral efficiencies.

Automatic Detection and Segmentation of Nuclei in Brain Tumor Tissue

Images Using Lloyd’s Clustering

Jadhav Lalaso Anandrao, Sagar B. Shinde

[email protected]


ABSTRACT

Analysis of preferential localization of certain genes within the cell nuclei is emerging as a new technique

for the diagnosis of brain tumor. Computer-aided methods, which can significantly improve the

objectivity and reproducibility, have attracted a great deal of interest in recent literatures. Computer based

system to analyze nucleus or cell detection and segmentation plays a very important role to describe the

molecular morphological information. In this paper, we provide a comprehensive summary of the recent

state-of-the-art nucleus/cell segmentation on different types of microscopy images of brain tumor. The


proposed method differs from others in, the simplicity of the developed approach and use of these

algorithms to segment and detect nucleated cells.

ENERGY EFFICIENT CO-GPS WITH REDUCED DUTY CYCLE

ENVIRONMENT MONITORING

Karale Priya Dattatray, Prof. S. B. Shinde

[email protected]


ABSTRACT

Advancements in silicon technology, embedded systems, sensors, micro electro mechanical systems and

wireless communications have led to the emergence of embedded wireless sensor networks (EWSNs).

Proposed system is an embedded system which uses ARM & different wireless sensor network. Location

is a fundamental service for mobile computing. Typical widely available GPS receivers consume high

energy, which limits its usefulness in any applications. In many sensing scenarios, preprocessing of

location information is adequate at the time of data uploading to a server, Cloud-Offloaded GPS (CO-

GPS) solution is designed that allows a sensing device to forces to manage duty-cycle its GPS receiver

and log just raw data GPS signal for post processing. Cloud can compute good quality GPS location can

be derived by using publicly available information such as GNSS satellite ephemeris and an Earth

elevation database service, from a few milliseconds of raw data. GPS Module give us the output in terms

of Latitude & Longitude of the location. Using GPRS module at we can collect all the information from

the wireless sensor nodes & we can transmit it to the server. By using webpage, all the status of the

system can be monitored.

Smart ATM access and Security System using Biometric and OTP

Technology

Lakhe Madhura Raju, S.S. Savkare

[email protected]


ABSTRACT

The main aim of this project is to provide security for ATM Centers by using IRIS Recognition. For the

traditional ATM terminal, customer recognition systems rely only on bank cards, passwords and such

identity verification methods which measures are not perfect and functions are too single. For solving the

bugs of traditional ones, there is need to designs new ATM terminal recognition systems to verify the

IRIS or face of the Acc holder of the bank at ATM Center. The use of Biometric ATM’s based on IRIS


recognition technology providing a safe and paperless banking environment. The iris recognition systems

have recently shown very high accuracies in verifying an individual’s identity. This completely eliminates

the chances of fraud due to theft and duplicity of the ATM cards. This project helps for maximum

security for the ATM users. This project will detect the iris of the user and allows the person to make

transactions, by using matlab it detects the human IRIS and allows person for the transaction and sends

the message automatically. Once we receive the OTP (One Time Password) we need to enter that key and

then it allows the transactions, plus when the attacker try to damage the ATM machine vibration detection

sensors gets activated. A message is passed to the nearby police stations with the help of GSM modem

and door will get lock. We can remotely monitor the user accounts for Authorized or unauthorized Access

by using Internet of Things (IOT).

Obstacle Detector Vehicle System

Nimse Dnyaneshwar Vijay, S.S.Savkare

[email protected]


ABSTRACT

This venture containing dynamic control plan for robotized driving of vision-based

self-ruling vehicles, with an ex-traordinary concentrate on the planned controlling and

braking control in crisis hindrance shirking. A self-governing vehicle is a complex multiinput and multi-

yield (MIMO) framework, which has the elements of parameter

vulnerabilities and solid nonlin-earities, and the coupled marvels of longitudinal and

horizontal progression are clear in a joined cornering and braking move. A viable facilitated

control framework for mechanized driving is proposed to manage these coupled and

nonlinear elements and reject the unsettling influences. Initial, a dream calculation is

developed to recognize the reference way and give the nearby area data amongst vehicles

and reference way continuously. At that point, a novel composed controlling and braking

control methodology is proposed in view of the nonlinear back venturing control hypothesis

and the versatile fluffy sliding-mode control strategy, and the asymptotic merging of the

proposed facilitated control framework is demonstrated by the Lyapunov hypothesis. At long

last, test tests show that the proposed control methodol-ogy has great following execution

and improves the riding solace and solidness of self-sufficient vehicles.

ECU Diagnostics Validator using CANUSB

Sutar Abhijit Dhondiram, Sagar Shinde

[email protected]



ABSTRACT

In automobile an OBD (On Board Diagnostics) enables the ECU (Electronic Control Unit) to detect the

malfunction of vehicle systems and take necessary corrective actions to prevent the accidents and hazards.

Thus the diagnostics enables the driver and passenger safety. Most of the OEMs, Tier-1, and Tier-2 use a

Vector Tool "CANoe" for ECU diagnostics validation during ECU development phase. The CANoe tool

is very costly. Its cost is ~ â‚¬10,000.

The project entitled "ECU Diagnostics Validator using CANUSB" is a cost effective tool that can be used

to perform similar functionality of ECU diagnostics validation during ECU development phase. It uses

CANUSB hardware and application software developed in Microsoft C# language. It is the special tool

responsible for transmitting and receiving various CAN messages to/from ECU over single channel.

Using this tool, the diagnostic messages and vehicle simulated messages can be sent and response can be

validated. The tool is having user friendly easy to use GUI, manual as well as cyclic auto transmission

mode with message logging feature. The overall tool cost is ~ â‚¹35,000.

The tool provides a 'Trace Window'. Using the Trace Window, the user can monitor the CAN

communication occurring on the CAN bus. The Trace Window helps to analyze the Diagnostics Request

Response. Thus enables to perform ECU diagnostics validation and helps to develop safety compliant

robust ECUs, ultimately enabling the driver and passenger safety. The tool can be enhanced further to be

used as 'Vehicle Health Monitoring System'.

Green house automatic control system on wireless sensor network

Tamboli Tausif Mubarak, S.B.Abhang

[email protected]


ABSTRACT

Monitoring and control of greenhouse environment play an important role in greenhouse production and

management. To monitor the greenhouse environment parameters effectively, it is necessary to design a

measurement and control system. The objective of this project is to design a simple, easy to install,

microcontroller-based circuit to monitor and record the values of temperature, humidity, soil moisture and

sunlight of the natural environment that are continuously modified and controlled in order optimize them

to achieve maximum plant growth and yield. The controller used is a low power, cost efficient chip

manufactured by ATMEL having 8K bytes of on-chip flash memory. It communicates with the various

sensor modules in real-time in order to control the light, aeration and drainage process efficiently inside a

greenhouse by actuating a cooler, fogger, dripper and lights respectively according to the necessary

condition of the crops. An integrated Liquid crystal display (LCD) is also used for real time display of

data acquired from the various sensors and the status of the various devices. Also, the use of easily

available components reduces the manufacturing and maintenance costs. The design is quite flexible as

the software can be changed any time. It can thus be tailor-made to the specific requirements of the user.


This makes the proposed system to be an economical, portable and a low maintenance solution for

greenhouse applications, especially in rural areas and for small scale agriculturists.

PERSONAL IDENTIFICATION AND VERIFICATION USING HAND

BASED BIOMETRIC FEATURES

Tondare Neha Shivajirao, S.S.Savkare

[email protected]


ABSTRACT

Biometric system becomes more reliable source for identification and verification of person. Different

industry and organizations widely use unimodal biometric system for person authentication purpose .Even

though, unimodal systems are well developed, has its own limitations. Unimodal system is capable of

handling middle level of security features. To fulfill requirement of better performed biometric system, it

become essential to build such system which uses combination of two or more biometric traits.

Multimodal biometric system has all the characteristics of a unimodal system. The objective of proposed

system is to build such multimodal biometric system which has high accuracy, reliable recognition and

robust in nature to identify and verify person. It uses palm print, finger geometry and finger knuckles as

its biometric input. In preprocessing stage hand image is used to get ROI of palm and finger. Finger

knuckles and finger geometry features of little, ring, middle and index fingers are extracted in feature

extraction stage. Keypoint and local descriptors which represent palm print features are extracted from

ROI of palm print. To boost speed of matching a coarse-to-fine hierarchical method is used. To enhance

accuracy of matching of features AND rule fusion is used. Aliveness detection system gives proof of

aliveness of person. For that purpose PIR and thermal sensors are used. It detects person who is going to

identify or verify whether alive or not .This avoids spoofing in biometric which results as system becomes

more trust worthy.

Intelligent vehicle control for vehicle tracking and accident prevention using

GPS and GSM

Sandur Jyoti Mahadev, S.S.Savkare

[email protected]


ABSTRACT

Intelligent vehicle control by embedded system is the system which uses various analog sensors for

measuring parameters. This paper presents vehicle tracking and positioning by using (GPS) Global


Positioning System and (GSM) Global system for mobile communication in an embedded system. The

vehicle is continuously under monitoring of the design and it will report the status of the vehicle to driver

or owner. The network of GPS and GSM using software and hardware were developed. The proposed

GPS and GSM based system has the two parts, first is a mobile unit and another is controlling station. The

system processes, interfaces the provided data. Transmission and reception of data among the mobile unit

and control stations are working successfully. This also includes the vehicle anti-theft system with the

help of vehicle ignition controlling or locking technique. Whenever car owner removes key from the

ignition lock at that time this system will turn on. We have provided vibration sensor with this project,

which is similar to piezoelectric sensor. When vibrations are detected, SMS is sent to the owner of the

car. When car owner sends back SMS to the system then the engine gets locked. We have provided a

Relay for vehicle engine control system.

Intelligent Robot using hand gestures recognition

Charuta Ravindra Sutar, S.S.Savkare

[email protected]


ABSTRACT

This project presents the embedded system, used to discuss work done in the area of hand gestures

recognition where focus is on intelligent approaches including soft computing based methods like

artificial neural network,fuzzy logic, genetic algorithms etc. Hand gestures recognition (HGR) is one the

main areas of research for the engineers, scientists and bioinformatics HGR is the natural way of human

machine interaction and today many researchers in the academia and industry are working on different

application to make interactions more easy, natural and convenient without wearing any extra device

.HGR can be applied from games control to vision enabled robot control from virtual reality to smart

home systems. The methods in the preprocessing image for image segmentation and hand image

construction also taken into study. Most researchers used fingertips for hand detection in appearance

based modeling .Finally the comparison of results given by different researchers is the comparison. Hand

gesture recognition system received great attention in the recent few years because of its manifoldness

applications and the ability to interact with machine efficiently through human computer interaction. In

this paper a survey of recent hand gesture recognition systems is presented. Key issues of hand gesture

recognition system are presented with challenges of gesture system.

The most prevalent use of robots today involves industrial robots in manufacturing lines. These

robots are programmed through teach pendants to traverse through a pre-taught set of points to execute

repetitive tasks . Industrial robots allow limited feedback from sensors, such as vision or force/torque

sensors, through command trajectory modification (e.g., external alter in the val robot programming

language) but they are not designed for human interaction. Even when external sensors are used, they are

tailored for specific tasks, e.g., welding , filament winding , grinding , or drilling, and tied to specific

platforms, e.g., val or rapid .these systems typically involve a single robot arm equipped with an end

effect or dedicated to a specific class of tasks multi-arm industrial robots and tele-robots are not common


due to their mechanical and system level complexity. When multiple arms jointly hold a load, in addition

to the motion of the load, the internal force within the load needs to be regulated for stable grasping while

avoiding damaging the part in the case of force-reflecting tele-operation, synchronization and stability

issues are even more severe, since the human operator needs to regulate both the force of interaction

between the load and the environment and the internal squeeze force in the load.

An Integrated Online-Based Smart Home Management System with

Community Hierarchy

Jadhav Shradha Shrirang, Sachin Abhang

[email protected]


ABSTRACT

Smart Home automation system is the main important part in day to day life for the security, safety and

comfort purpose. Twentieth century is the era of automation majorly in the entire field for the elimination

of human error, effort and time. There are numerous technologies available today for smart home that can

enable communication between user and appliances for controlling and monitoring the particular

application of home appliance from any remote location.The available technologies presented along with

uses, advantages and disadvantages of each technology.

In a smart home management system a community or society broker is used for integrating community

services. It reduces the workload of community management staff, providing electronic information

services, and deepening the community’s integration with the surrounding environment. The various

sensors and devices for example security functions are connected to this home control system. At society

or community terminal there is a society controller system. The various building automation devices are

connected to the society controller system. At watchman terminal there is a personal computer or server

from which we can monitor the various activities in flats as well as in society. If there is an emergency in

flat, for example fire detection then it can be detected easily.

This study also determined the WSN Protocol. Here we are reconfiguring the WSN using CC2550. By

using different types of Protocol the master will find the shortest path to destination.In addition we can

design an android application through which we can monitor the WSN sensor data on the android mobile.

The android device is connected to the WSN via Bluetooth modem. Once the connection is established

the android app will display all the data on the GUI of App.

Agricultural Robot For Early Crop Disease Detection Using Image Processing

Patil Anjali Rajendra, Sachin Abhang

[email protected]



ABSTRACT

this robot is used to do management of crops,it is basically ground based and used for agricultural

purpose.to identify and monitor the plant diseases,nutrient deficiency,controlled irrigation and controlled

use of fertilizers and pesticides one can use this robot.it provides small platform to identify diseases.in

40% cases use of overdose pesticides happens. Due to overdose it will totally damage the crop and due to

damage reduction in both quality and quantity occur.if chemical and fertilizer are used in proportion then

it will reduce cost and enable better management. Agricultural robot is quick,automatic and less

expensive method to identify the disease. Their are many types of diseases and their rate of spread is

different and due to which the the pesticides are also different. Image processing is used to recognize the

disease.

VARIABLE LATENCY SPECULATIVE HAN-CARLSON ADDER

Ghawate Manoj Dnyandeo, Prof.A. Meenakshi

[email protected]


ABSTRACT

Variable latency adders have been as of late proposed in writing. A variable latency adder utilizes

speculation: the correct math function is supplanted with an approximated one that is speedier and gives

the right outcome more often than not, however not generally. The approximated adder is enlarged with a

mistake discovery network that asserts a blunder flag when speculation falls flat. Speculative variable

latency adders have pulled in solid interest thanks on account of their ability to lessen normal postpone

contrasted with conventional structures. This paper proposes a novel variable speculative theoretical

snake in light of HanCarlson parallel-prefix topology that came about more successful than variable

inertness KoggeStone topology. The paper describes the phases in which variable idleness theoretical

prefix adders can be subdivided and displays a novel mistake recognition organize that lessens blunder

likelihood contrasted with past methodologies. A few variable idleness theoretical adders, for different

operand lengths, utilizing both Han-Carlson and Kogge-Stone topology, have been blended utilizing the

UMC 65 nm library. Acquired outcomes demonstrate that proposed variable inactivity Han-Carlson viper

outflanks both already proposed theoretical Kogge-Stone designs and nonspeculative adders, when rapid

is required. It is likewise demonstrated that non-speculative adders remain the best decision when the

speed constraint is casual.

Index Termsâ€”Addition, digital arithmetic, parallel-prefix adders, speculative adders, speculative

functional units, variable latency adders.


Detection of salient Structure by contour Guided Ocular Exploration

Ruchi Jaysingrao Pawar., Dr. Y. S.Angal

[email protected]


ABSTRACT

The task of Salient Structure (SS) detection to bind together the saliency-related undertakings, for

example, ï¬•xation prediction, salient object detection, and discovery of different structures of

enthusiasm for jumbled situations. To fathom such SS identification assignments, a unified structure

enlivened by the two-pathway-based inquiry technique of natural vision is proposed. Initial, a Contour-

Based Spatial Prior (CBSP) is extricated in view of the format of edges in the given scene along a quick

non-particular pathway, which gives an unpleasant, assignment unessential, and strong estimation of the

areas where the potential SSs are available. It is invariant to the size and features of objects. The test

comes about on six huge datasets (three fixation forecast datasets and three notable protest datasets)

exhibit that our framework accomplishes focused execution for SS location (i.e. both the errands of

fixation expectation and striking item identification) contrasted and the cutting edge techniques. What's

more, framework likewise performs well for notable protest development from saliency maps and can be

effortlessly reached out for remarkable edge identification.

IoT Based Smart Public Transport System

Parag Dattatraya Gawade, Prof. Meenakshi A

[email protected]


ABSTRACT

Internet of Things (IoT) joins the objects of this present reality to the virtual world, and empowers at

whatever time, anyplace network for anything that has a turn ON and turn OFF switch. It constitutes to a

world where physical things and humans and other living things, and virtual information and situations,

collaborate with each other. Substantial measure of information is created as expansive number of gadgets

is associated with the web. So this expansive measure of information must be controlled and changed

over to helpful data keeping in mind the end goal to create productive frameworks. In this paper, we

concentrate on to a urban IoT framework that is utilized to construct Intelligent Transportation System

(ITS). IoT based intelligent transportation systems are intended to bolster the Smart City vision, which

intends to utilize the progressed and capable communication systems for the organization of the city and

the residents. Keywords: IoT, ITS, NFC, WSN.


Development of System using Six sense technology for gesture detection and

computer applications

Kumbhar Kishoree Bhanudas, Dr. Y.S. Angal

[email protected]


ABSTRACT

Sixth Sense Technology is a gestural interface device that use to provide direct communication between

physical world around and digital word. It consist of two main devices like camera and laptop .Basically

it is working on the image processing. As this project is act as link between human sense and physical

world around it’s name as sixth sense technology. This technique here is used in computation and day to

day work. automation. Images capture by camera are used to gather digital information used to

communicate with physical world

EEG Based Brain Controlled Pick and Place Robot

Dipali Eknath Pansare, Prof. Puranik V.G.

[email protected]


ABSTRACT

BCIs are systems that can bypass conventional channels of communication to provide direct

communication and control between the human brain and physical devices by translating different

patterns of brain activity into commands in real time. This system describes about EEG based brain

controlled pick and place robot. The robotic arm is controlled through egg sensor. The key lies in the

mapping of the EEG signal to the robotic arm to achieve the objective. This system demonstrates the

application for disabled people and Industry automation.

Energy Meters using Internet Of Things Platform

Shraddha Vijay Kadu, Prof. D.S.Bhosale

[email protected]


ABSTRACT

In smart grid, typical applications are distributorcentric rather than customer-centric. These applications

typically have issues of scalability and user acceptance. To address this we propose architecture and


implementation of energy meter with internet-of-things platform. Energy meter is the closest interface to

end users as part of smart grid where energy is consumed. Our approach has four facets of novelty: 1)

Integration of smart grid and home application using common infrastructure. 2) Data collection from

heterogeneous sensor communication protocols 3) Secure and tailored data access and 4) Sensor and

actuator mapping to common abstraction layer which can be leveraged to build concurrent applications.

For demonstration kit has been built and validated with specific ZigBee meters and gateways, IoT server

and custom user interface.

Fire Detection Based on Color ,Shape and Motion

Monika Gopal Waghmare, Prof. Meenakshi Annamalai

[email protected]


ABSTRACT

The system proposes a method able to detect fires by analyzing the videos acquired by surveillance

cameras. Two main novelties have been introduced: first, complementary information, respectively based

on color, shape variation and motion analysis, are combined by a multi expert system. The main

advantage deriving from this approach lies in the fact that the overall performance of the system

significantly increases with a relatively small effort made by designer. Second, a novel descriptor based

on a bag-of-words approach has been proposed for representing motion.

SCENE TEXT RECOGINATION USING MULTISCALE STROKELETS

Kumari Manoj Dalbir Singh, Dr. Y.S.Angal

[email protected]


ABSTRACT

Text detection and localization from a photograph is a challenging problem that has received a significant

amount of attention. The investigation of problem from the perspective of representation is studied

propose a novel multiscale representation, for scene text detection. This representation consist of a set of

detectable primitives termed as strokelets, which capture the underlying substructures of characters at

different granularities. Strokelets possess four distinctive advantages as

Useability,Robustnes,Generality,Expressivity.


LAN Based Secured E-Voting using Biometric

Mandawade Darshana Hansraj, Dr. Y.S. Angal

[email protected]


ABSTRACT

The objective of this project is to develop Biometric based E-voting. Democracy is based on elections, but

it is not possible for citizens every time to go to polling stations to vote on election days. Option is to

provide e-voting via the Internet where voter can vote from own computer or mobile device, but it is

susceptible to common attacks, which affects the election results. The user can access cast his vote from

his home PC, internet cafe, his office pc. For this we are connecting the user PC with the voting server via

Local Area Network (LAN).The user has to log on to the voting server via his own PC. He will be asked

for the authentication of identity. The user can then authenticate his id using either Voice recognition or

Fingerprint recognition or both. The voter is enabled to vote without actually going there.Moreover to

stop fordge voting voter is given identification hardware which will prevent any hacker from giving false

votes.

SCADA SYSTEM FOR WORKERS SAFETY IN COAL MINES USING

WSN

Naikwade Anil Madhukarrao, Prof. V.G. Puranik

[email protected]


ABSTRACT

This paper presents a wireless detection of explosive atmosphere in underground coal mines that can be

implementation of safety jacket for coal mine workers, this jacket is equipped with methane gas, fire,

smoke, temperature, and heart beat sensor and emergency key. This sensors sense the data and which is

transmitted to master node through zigbee. The WSN sensor is connected at both end for transmission and

reception of data. The threshold value is set at master end, if sensor value reaches beyond the threshold

level, the master will trigger on the buzzer and keep the coal mines workers safe from upcoming accident.

IOT based flow metering with data logging system

Pravin . R. Anjikar, Dr. Shailaja Patil

[email protected]



ABSTRACT

A sensor interface device is essential for sensor data collection from wireless sensor networks(WSN) in

IoT environments. However, the current connect number, sampling rate, and signaltypes of sensors are

generally restricted by the device. Meanwhile, in the Internet of Things(IoT) environment, each sensor

connected to the device is required to write complicated andcumbersome data collection program code. A

flow meter is a device used to measure the flowrate or quantity of a gas or liquid moving through a pipe.

Measurement of the flow of a fluid,either liquid or gas, is commonly a critical parameter in many

processes. In most operations thiscan be linked to the basic â€œrecipeâ€• of the process - knowing that

the right fluid is at the rightplace and the right time. Equally, it can be linked to asset management,

keeping the fluid inmotion or even simple tank balancing.Internet of Things (IoT) is a new

revolution of theInternet. It provides a platform for communication between objects where objects can

organizeand manage themselves. In this project, IoT technology is use for building data logging systemof

liquid or gas flowing through pipe. Such prototype is useful in an industries or smart cities.This system

consists of smart flow meter, central node for data capturing, monitoring andprocessing, and log

data to discrimination to the end user.

smart museum based on IOT

Nishigandha Kale, Prof.R R Itkarkar

[email protected]


ABSTRACT

Smart cities are a trading topic in both the academic literature and industrial world. The capability to

provide the users with added value services through low-power and low-cost smart objects is very

attractive in many fields. Art and Cultural have constantly assumed a critical part in human being lives.

Museums are nowadays a tool for entertainment such cinemas/theaters and museums and art galleries

usually provide with paper booklet or human guides. A smart museum based on IOT relies on a wearable

device that acts as guides of museum. This wearable device will capture the video of users movements

and has the capability to do image processing and sends only the matched images to the processing centre

to increase the performance of the whole system and localization information is obtained .Moreover, the

system interacts with the server to store multimedia contents produced by the user. Finally, everyone can

easily access the arts profile and history through smart device by using mobile application

Design and develop an algorithm for a diabetic detection using ECG signal

Rina Musale, Dr.A.N.Paithane

[email protected]



ABSTRACT

Huge number of individuals are influenced by Diabetes Mellitus (DM) which is hard to cure because of

its endless nature and hereditary connection. The uncontrolled diabetes may prompt heart related issues.

Along these lines, the diagnosis and checking of diabetes is of extraordinary significance. The automatic

detection of diabetes can be performed utilizing RR-interval signals. The RR-interval signals are

nonlinear and non-stationary in nature. Subsequently linear strategies will be unable to catch the hidden

data introduce in the signal. Empirical Mode Decomposition (EMD) is recently used in a broad range of

applications for extracting signals from data generated in nonlinear and non-stationary processes.

However, it has a Intrinsic Mode Function (IMF) consisting of signals of widely disparate scales. In this

paper, a new nonlinear method based on empirical mode decomposition (EMD) is proposed to

discriminate between diabetic and normal RR-interval signals. Then four parameters are extracted from

IMFs of RR-interval signals namely, the mean frequency parameter using Fourier -Bessel series

expansion MF_FB, amplitude modulation bandwidth B_AM, frequency modulation bandwidth B_FM

and area computed from second order difference plot A_SODP. SVM (support vector machine) classifier

is utilized to measure the discrimination ability of the proposed features for detection of diabetic RR

interval signals. Results obtained from proposed methodology indicate that these features provide the

significant difference between diabetic and normal classes.

COAP based healthcare monitoring system

Savita U. Dharmkare, Mr.P.M.Ghate

[email protected]


ABSTRACT

The Internet of Things (IoT) is the network of physical objects or things embedded with electronics,

software, sensors, and network connectivity, which enables these objects to collect and exchange data. In

this paper the Constrained Application Protocol (CoAP) has been used as a technology enabler to allow

applications to interact with physical objects. We are using CoAPthon, an open-source Python-based

CoAP library, which aims at improving the development of CoAP-enabled IoT healthare monitoring

application. Healthcare monitoring is applicable in various situations when a patient is in the abnormal or

critical conditions like in unstable physiological regulatory systems, in the case of overdose of

anesthesia., in a life threatening condition when there is an indication of heart attack in a patient. This

situation leading to the developing of a risky life threatening condition. To avoid this type of situation we

are presenting this paper.The aim of this paper is to send messages during emergency situations especially

when a patient is alone at home or while the patient is travelling. This is an efficient way of hospital

management system where a doctor sends control signals from his wireless terminal to the patient

terminal. In the same way, the patient health condition can be sent to his or her family members in the

form of SMS through mobile phones.


Data hiding in encrypted images using TRRBE

Smita Borse, Dr.D.G.Bhalke

[email protected]


ABSTRACT

Data hiding in encrypted images has theadvantage of good privacy and security. In thispaper we are

using the DWT method. TheDiscrete Wavelet Transform gives the excellentpeak signal to

noise ratio (PSNR) and lesscomputation time. (DWT) is any wavelettransform which is

discretely sampled whichcaptures both frequency and location information.The main advantage of

using DWT transform isthat the whole image would be processed as asingle unit. This technique

will be used for hidinga secret image inside a cover image using secretkeys. It shows high robustness

against many ofimage processing operations such as lossycompression, blurring, cropping,

median filter,sharpen, and addition of noise. The embeddedsecret image can be extracted

with high visualquality. The patch can be used which results inlarge hiding room. Thus we use

sparse coding,which is an approximation solution, the leadingresidual errors are encoded and

self-embeddedwithin the cover image. Hence no loss of data isobserved, because the learned dictionary

is alsoembedded into the encrypted image and a largevacated room can be achieved and thus the

datahider can embed more secret messages in theencrypted imag

Automatic detection text levels of handheld objects for blind person

Sonali Munde, Dr.D.G.Bhalke

[email protected]


ABSTRACT

Self-Dependency for disabled persons is of prime importance. The ability of people who are blind or have

significant visual impairments to read printed labels and product packages will enhance independent

living and foster economic and social self-sufficiency. This paper presents a cost effective prototype

system to help blind persons to shop independently. A camera based assistive text reading framework is

proposed to help blind persons read text labels and product packaging from hand-held objects in their

daily lives. To isolate the object from cluttered backgrounds or other surrounding objects in the camera

view, a region of interest (ROI) in the image is defined. In the extracted ROI, text localization and text

recognition will be done to acquire text information. Text characters in the localized text regions are then

converted into binary format and recognized by trained optical character recognition software. The

recognized text codes are output to blind users in speech. The images are stored in database then

Adaboost classifiers are used to read the framework of any product.


Secret Fragment Visible Mosaic Image Technique for Image Hiding

Manisha Ghortale, Prof.R.R.Itkarkar

[email protected]


ABSTRACT

A new information hiding technique is developed for covert communication or secure keeping of secret

images. The technique is based on secret-fragment-visible mosaic image which is created automatically

by composing small fragments of a given image to become a target image in a mosaic form, achieving an

effect of embedding the given image visibly but secretly in the resulting mosaic image. The 3-D color

space of the secret colour image is transformed into a new 1-D color scale, based on which a new image

similarity measure is proposed for selecting from a database a target image that is the most similar to the

given secret image. The secret image is fitted into similar tile image; for finding the similar tile a greedy

search algorithm is used.

The information of the tile image fitting sequence is embedded into randomly-selected pixels in the

created mosaic image by a lossless LSB replacement scheme using a secret key; without the key, the

secret image cannot be recovered.

Electrostatic Discharge Protected User Interface for X-ray System

Balu D. Waghchaure, Dr. B. D. Jadhav

[email protected]


ABSTRACT

High-speed low-power mobile devices are sensitive to electrostatic discharge (ESD)-induced soft errors,

such as unwanted reset, lock up, loss of user interface, disturbed displays, etc. ESD can couple via current

and fields into the internal cabling, printed circuit board traces but also directly into the integrated

circuits. It can lead to serious problem in the life saving medical products. Under IEC definitions, loss of

data is never allowed when testing a product.Keyboard and Graphical LCD is used as a User Interface

(UI) for the X-ray System. By using proper shielding, PCB layout and TVS diodes; UI is made ESD

proof.


Stress Management using EEG signal

Pallavi Gaikwad, Dr.A N Pithane

[email protected]


ABSTRACT

To monitor stress, different methods can be used. In this work, real time stress level recognition from

Electroencephalogram (EEG) signal is proposed. Stress is amental condition that effects the brain

electrical activity to be different from the normal state. An algorithm is designed to classify stress levels.

EEG signals are collected using EEG electrodes, which are placed on forehead scalp during the

experiment. Signals captured are given to EEG amplifier for removing noise or interference. Further these

collected signals are continually given to algorithm to verify stress level. Signals are pre-processed and

different feature combinations and classifiers are used and analyzed. Discrete Wavelet Transform (DWT)

is used for pre-processing, and then we are taking Power Spectral density (PSD) of signal before giving it

classifiers.We are using Support Vector Machine (SVM) and K-Nearest Neighbor (KNN) as the

classifier, three levels of stresscan be recognized. Stress levels of the person under test are visualized on

the meter in real time.

"

Texture based /interstitial lung disease detection using CNN

Pratiksha Hattikatti, Dr. D. G. Bhalkle

[email protected]


ABSTRACT

In CT scan images there are large range of lung texture patterns of disease .Whatever patterns Radiologist

see in that for every disease there is some intermix, thus to detect each pattern and diagnosis it is very

difficult. Convolutional Neural Networks (CNN) are often used in image recognition systems. They have

achieved less error on the database, image classification using CNN was surprisingly fast. Interstitial lung

disease is a general category that includes many different lung conditions. All interstitial lung diseases

affect the interstitium i.e. the part of the lung’s anatomic structure. Automated tissue characterization is

standout amongst the most essential parts of a computer aided diagnosis (CAD) system for interstitial

lung diseases (ILDs). Thus using CNN interstitial lung disease become more accurate also it takes less

time for detection. The proposed network consists of 7 convolutional layers with and Leaky ReLU

activations, followed by average pooling with size comparable to the size of the final feature. The

classification execution exhibited the capability of CNNs in analysing lung patterns. The collected

database are official CT scan images verified by radiologist.


Speech bandwidth extension for improvement in speech quality

Komal N Ranaware, Mr. P. M. Ghate

[email protected]


ABSTRACT

The expansion of the Internet has frequently increased the availability of digital data such as audio,

images and videos to the public. Digital watermarking is a technology being developed to ensure and

facilitate data authentication, security and copyright protection of digital media. Audio watermarking is a

technique providing a promising solution to copyrights protection for digital audio and multimedia

products. Using this technique, hidden information called watermark containing copyrights information is

imperceptibly embedded into the audio track of a host media. This watermark may be extracted later on

from a suspected media to verify the authenticity. To function as an effective tool to enforce ownership

rights, the audio watermarking scheme must satisfy the imperceptibility, robustness, security, data

payload, and computational complexity requirements. Throughout this report, we will be illustrating in a

simple way the concept of Digital Watermarking and a simple approach of audio watermarking called

â€˜LSB coding’ for copyrights protection and the various possible attacks on the watermarks. Keywords:

watermark, imperceptibility, robustness, security, data payload.

socket based IoT node home automation system with smart plug

Ghadge Krutika, Dr. B D Jadhav

[email protected]


ABSTRACT

The customer domain of the smart grid naturally blends with smart home and smartbuilding systems,

but typical proposed approaches are â€œdistributor-centricâ€� rather thanâ€œcustomer-

centric,â€• undermining user acceptance, and are often poorly scalable. To solve thisproblem, we

propose a detailed architecture and an implementation of a â€œlast-meterâ€� smart gridâ€”the portion of

the smart grid on customer premisesâ€”embedded in an internet-of-things (IoT)platform. Our approach

has four aspects of novelty and advantages with respect to the state ofthe art: first approach of our

system is seamless integration of smart grid with smart homeapplications in the same infrastructure.

Second system gathers data from heterogeneous sensorcommunication protocols with secure and

customized data access. Fourth approach is univocalsensor and actuator mapping to a common

abstraction layer on which additional concurrentapplications can be built. A demonstrator has been built

and tested with purposely-developed Wi-Fi smart meters and gateways, a distributed IoT server, and a

flexible user interface.The strong coupling of Information and Communication (ICT) technologies -

especiallyvia the usage of networked embedded devices with the energy domain, is leading


to asophisticated dynamic ecosystem referred to as the Internet of Energy. In the last mile of theSmart

Grid i.e. the future smart home, heterogeneous devices will be able to measure and sharetheir energy

consumption, and actively participate in house-wide or building wide energymanagement

systems. The customer domain of the smart grid naturally blends with smart homeand smart building

systems, but typical proposed approaches are â€œdistributor-centricâ€� rather thanâ€œcustomer-

centric,â€• undermining user acceptance, and are often poorly scalable. To solve thisproblem, we

propose a detailed architecture and an implementation of a â€œlast-meterâ€• smart gridthe portion of the

smart grid on customer premises embedded in an internet-of-things (IoT)platform. A demonstrator has

been built and tested with purposely developed ZigBee smartmeters and gateways, a distributed IoT

server, and a flexible user interface

smart traffic system for stolen and traffic control with Auto fine

Bhagyashri Shinde, Dr. A N Paithane

[email protected]


ABSTRACT

This project presents an intelligent traffic control system to pass emergency vehicles smoothly.Each

individual vehicle is equipped with special radio frequency identification (RFID) tag(placed at

a strategic location), which makes it impossible to remove or destroy. We use RFIDreader and

microcontroller based system-on-chip to read the RFID tags attached to the vehicle. Itcounts number of

vehicles that passes on a particular path during a specified duration. It alsodetermines the network

congestion, and hence the green light duration for that path. If the RFID-tag-read belongs to the stolen

vehicle, then a message is sent using application to the policecontrol room. In addition, when an

ambulance is approaching the junction, it will communicateto the traffic controller in the junction to turn

ON the green light. We used microcontroller basedsystem on chip for wireless communications between

the ambulance and traffic controller. Thissystem also detects the signal break and charges the fine for the

given vehicles

Poka yoka for filter pin detection in nozel holder body

Pingle Arati Sanjay, Prof.Dr.S.P.Ugale

[email protected]

K. K. WAGH COE & R NASHIK [013]

ABSTRACT

Every manufacturing industry in the world is focused to produce high quality ,defect free product. The

success of any industry depends on quality of their product. During actual manufacturing of any product


different operations are carried out by operators .The whole production depends on operator mentality and

its interest in work which ultimately causes silly mistake or errors by operator. Rejection of manufactured

product cannot be ignored now a days in manufacturing industry due to worldwide competition. To avoid

mistake in assembly line, poka yoka mechanism plays an important role in manufacturing industry. In this

project poka yoka mechanism is applied to find missing part in product. A Programmable logic controller

(PLC) is used which control the whole system .It continuously monitors the state of input devices and

according to that state of output devices is control.

Maintain Boiler Temperature and Level Detection in Dairy Industry

Dherange Pritika Nivrutti, Prof.Dr.S.S.Morade

[email protected]


ABSTRACT

In dairy industries Boiler temperature level detection and ammonia gas level detection is the major things,

so by this project we doing the same things. At the same time both this concepts can be implemented

using IOT concepts. Remote monitoring and intelligent intervention of machines are essentials in smart

industrial environment. This work aims to describe how to provide smart industrial environments using

IOT concepts or cloud computing. Using IOT, it is not necessary to continuously observation taken or

doing by the observer or the operator. If any problem or difficulties are occurs automatically boiler

machine will stop and alarm gets ON and message will be display on operators mobile. Same things

happen with the ammonia level detection. Also operator cautiously observe the machines working such as

liquid flow or different operations from anywhere from the industry through mobile phone, laptop or any

desktop system. So by this project we study the different sensor, like RTD, pressure sensor, level sensor

and also IOT/CLOUD base system. And for demo I am using Raspberry pi module.

Boiler is one of the most important equipment in any industrial plants which require continuous

monitoring and inspection at frequent intervals. There are possibilities of errors at measuring and various

stages involved with human workers. So a reliable monitoring system is necessary to avoid catastrophic

failure, which is achieved by Programmable Logic Controller & Supervisory Control and Data

Acquisition system. But this systems are very expensive, so we can reduce the coast by using

microcontroller as RPi.

Designing of USB Device Driver for CNC System Using Dual Core DSP

Processor

Gosavi Nisha Ramakant, Prof.Dr.S.S.Morade

[email protected]



ABSTRACT

Computer Numeric Control (CNC) is specialized form of soft automation and it has wide range of various

applications. End to end component design is highly automated using DSP processor in the modern CNC

systems. The problem with the existing system is that PC system needs to connect to the CNC system as

communication take place through the RS232 protocol. RS232 communication is very slow in terms of

speed, so use of it is very inefficient for the latest CNC systems. This experiment replaces the RS232

communication by USB communication and can increase the speed from 115.2 Kbps to 480 Mbps. This

experiment is concentrated on designing the device driver of USB 2.0 for CNC system using the control

card of TMS320F28377D processor. TMS320F28377D is a dual core DSP processor by Texas

Instruments with c28xx core and feature of flash programming. This processor is mainly designed for

high end and real time applications such as industrial drives and motor control applications. The control

card of this processor has USB interfacing facility so we can design the USB driver and can do the USB

flash programming for CNC system to increase the processing speed. In USB communication we can

connect number of devices at a time using USB hubs which is not possible in the case of RS232. This

experiment is also concentrated on designing the FAT32 file management system for CNC machine using

dual core processor and USB flash drive.

FAT file management system for the DSP based CNC machine using SD Card

Shendge Harshali Jagannath, Prof.Dr.S.S.Morade

[email protected]


ABSTRACT

Computer Numeric Control (CNC ) is the automation of machine tools that are operated by precisely

programmed commands encoded on a storage medium. In modern CNC systems, end-to-end component

design is highly automated using DSP processor. The programs produce a computer file that is interpreted

to extract the commands needed to operate a particular machine by use of a post processor, and then

loaded into the CNC machines for production. This project presents a cost effective solution to implement

three dimensional computerized numerical control (CNC) machines for Industrial application using DSP

TI LaunchXL F28379D Launchpad. The main objective is to implement file management system for

CNC machine using the SD card and hence the increase memory size to hold the large data of .NC and

.CNC file. The system employ Dual core C28x DSP processor (TMS320F28379D) for file handling and

file management system as well as performs various operations of CNC machine. This paper will mainly

focus on the hardware structure and software program of File handling and file management system

implement on the SD card as well as Stepper motor interfacing with Launchpad f28379D for multi axis

operation of CNC machine. The objective to devise a Low cost CNC machine from increasing demand

for flexibility and cutting with respect to edge quality. The system has Dual core C28x microcontroller

based embedded system to achieve cost effectiveness and also maintains the required accuracy and

reliability for complex shapes. The backbone of the system is a cleverly designed mechanical system


along with the embedded system resulting in accuracy. The system uses embedded C software such as

Code composer studio.

Road Sign Identification and Analysis of Augmented Reality using Image

Processing Technique

Mali Nikita Subhash, Prof,Dr.M.P.Satone

[email protected]


ABSTRACT

In past decades, India is rapidly developing country in the world. Therefore, almost every peoples in India

has demanded own vehicles. Roads were developed in every area and many new vehicles entering on the

roads. India is growing population country and people uses transportation method and is increased day by

day. But ,road accidents are increased especially in highways. Many peoples are injured and lost their life

because they do not aware about meaning road sign board. Road accident is national problem in the

country .A lack of knowledge about road signs and rules has main reason behind road accidents.

With the help of Augmented Reality(AR) technology can provide surrounding traffic information on the

users view and keep drivers view on roads. Using Augmented Reality (AR) technology and on-board

camera-based driver alert system can improve driving safety. Suppose camera can be mounted on top of

vehicle. When camera captures road sign image through image processing technology. It will be checking

which stored image matched with capture image. If capture image and stored image matched then driver

hears sound that name of road sign board.

Integration of deburring unit with FANUC CNC

Bhangare Swati Nivrutti, Prof.Dr.D.M.Chandwadkar

[email protected]


ABSTRACT

Bosch limited has to manufacture oil injector with high quality, defect free products at optimum cost. The

new culture of total quality management, total productive management in the manufacturing as well as

service sector gave birth to new ways to improve quality of products. Manufacturing defects are always

the key concerns of any industry. The success of any manufacturing industries depends on the quality of

product especially right product produced.

In order to ensure the error free product the quality needs to be monitor in real time. Some time in

manufactured product defects are occur .In this project design and development of a deburring unit with


FANUC CNC for supfina in this system which remove the defect in injector body with the help of

different sensors. CNC FANUC not only monitors all operation but also remove all defects

Modelling and performance analysis of microgrid using fuzzy logic controller

Sonawane Tanvi Ravindra, Prof.Dr.D.M.Chandwadkar

[email protected]


ABSTRACT

Fuzzy logic based voltage controller is proposed for hybrid generation scheme. It uses solar and wind

energy for isolated applications. Microgrid involves different energy systems or energy sources. Here we

are using solar energy system and wind energy system. To improve the generating performance &

implementation of power utilization, we are using the hybrid PV-wind system. It gives better result as

compare to individual sources. On the contrary side, PV-wind hybrid system has environmental benefits

such as reduction of carbon emission due to use of renewable energy resources. Fuzzy logic control based

maximum power point tracking(MPPT) approach is used to improve the efficiency and robustness of the

solar photovoltaic (PV) power generation and establishes a model of grid-connected PV system by

Matlab/Simulink environment which reflect the characteristics of the system accurately. We are using

battery for energy storage purpose.

It gives continuous power, compelling use of renewable energy resources. It enhances life time of

battery, minimized utilization of diesel and reduces the emission of CO2.

POWER QUALITY IMPROVEMENT BY SVC USING PIC18F4620

Gadakh Vijay Sopan, Prof.Dr.D.M.Chandwadkar

[email protected]


ABSTRACT

Power quality improvement for non linear loads is the point of interest for researchers in recent years.

Power factor plays an effective role in efficiency of electrical system. In power system the voltage level at

different system changes with the change in load. The voltage level at the load must be maintained within

required range irrespective of the type & magnitude of the load. For maintaining voltage fixed within

limits, it is necessary to maintain the balance of reactive power in the system as reactive power is related

with voltage directly .i.e. reactive power generation and absorption must be equal. Any mismatch occurs

in the reactive power balance affects the bus voltage magnitude.

A static VAR compensator include capacitor bank in different binary sequential steps in

conjunction with a thyristor controlled reactor of minimum step size is used in the investigative work. The


work related with the performance evaluation through analytical studies and practical implementation on

an existing system consisting of a distribution transformer of 1 PH phase 50 Hz, 1KV/230V capacity. The

switching characteristics achieved are transient free, practically no need to provide inrush current limiting

reactors, TCR size minimum providing minimum percentages of nontriplen harmonics, facilitates step

less variation of reactive power depending on load requirement , thus maintain power factor near always

unity .

Abandoned Object Detection using backtracing Verification

Parmar Pavankumar Kailas, Prof,Dr.M.P.Satone

[email protected]


ABSTRACT

Detecting static objects in video sequences has a high relevance in many surveillance scenarios like

airports and railway stations. In this paper we propose a system for the detection of static objects in

crowded scenes that, based on the detection of two background models learning at different rates,

classiffes pixels with the help of a finite-state machine. The background is modelled by two mixtures of

Gaussians with identical parameters except for the learning rate. The state machine provides the meaning

for the interpretation of the results obtained from background subtraction and can be used to incorporate

additional information cues, obtaining thus a flexible system especially suitable for real-life applications.

The system was built in our surveillance application and successfully validated with several public

datasets.The experimental results obtained based on video images from Evaluation of Tracking and

Surveillance and Advanced Video and Signal-based Surveillance databases show that the proposed

approach is effective for detecting abandoned luggage, and that it outperforms previous methods.

Modelling ,Designing And Analysis Of Phase Locked Loop Using Pyxis tool of

Mentor Graphics

Chandramore Rasika Madhukar, Prof.Dr.S.P.Ugale

[email protected]


ABSTRACT

The Phase Locked Loop system has been around since 1932. The versatility of the PLL systems and

where it can apply makes it very useful. It can be applied to automobiles as well as cellular chips. This

seminar work presents the design and analysis of a Phase Locked Loop for various technologies. The All

blocks of the Phase Locked Loop were designed independently and then integrated together.


The Phase Frequency Detector, Charge Pump, Low Pass Filter, VCO, Frequency Divider and Level

Shifter topologies and circuits are described in detail along with some major design tradeoffs and critical

issues. The uses and implementation of the kinds of frequency divider are demonstrated. Their design

tradeoffs are utilized to make the design effective and robust.

Autonomous Wearable System for Health Monitoring

Mali Vivek Vijay, Prof.Dr.D.M.Chandwadkar

[email protected]


ABSTRACT

There is a growing demand for wearable devices among people as it has the ability to monitor in real-time

situations in the different areas of daily life. In wearable devices, power is the important factor. One of the

aspect is the power supply with batteries that introduces weight, the overall dimensions, and the disposal

of the batteries. A solution to overcome these limitations of battery as power supply is to extract energy to

power the devices directly from the sun. In this paper, a proposed wearable device is designed for health

monitoring of a person to measure his/her health parameters. If the condition of the person is unwell then

a signal is send to his/her near ones and to the doctor. This paper describes the proposed autonomous T-

shirt powered by flexible solar panel mounted directly on the T-shirt. The wearable device is capable of

measuring heart beat and temperature of the body. The device would be very useful for health monitoring

of elderly people and heart patients. In alarming situation appropriate help and necessary actions can be

taken which can save life.

Smart Edge IOT based Industrial Automation

Shivani.J.Soni, Mrs. S.A.Paithane

[email protected]


ABSTRACT

Using internet of things (IoT) to connect things, service, and people forintelligent operations

has been discussed and deployed in many industry domains such as smartcity, smart energy, healthcare,

food and water tracking, logistics and retail, and transportation.However, scarce information is

available for IoT usage in industrial automation domain forreliable and collaborative automation

with respect to e.g., enabling scalable collaborationbetween heterogeneous devices and

systems, offering predictable and fault-tolerant real-timeclosed-loop control, and inclusion of

intelligent service features from edge devices to the cloud.In this paper, we will clarify the specific quality

attribute constraints within industrial automation,present specific industrial IoT challenges due to these


constraints, and discuss the potentials ofutilizing some technical solutions to cope with these

challenges. Industrial automation is adomain in which Internet-of-things can bring with many

benefits. For instance, remote location ofplants would benefit from technologies that support

remote operation and maintenance;autonomous collaboration between devices so that devices

are aware of each other forinformation exchange, in this way to reduce engineering costs in terms

of manual configurationsof all involved devices; the real-time data collected from a large number of these

interconnectedphysical hardware units can be used for developing new intelligent applications

IOT based energy efficient networking for building automation

Bharti Tushar Shivaji, Dr. S. K. Shah

[email protected]


ABSTRACT

DALI (Digital Addressable Lighting Interface) is data exchange protocol which explains digital

communication between terminal and one or more light devices. In malls, hospitals there are more

number of luminous devices are present. It is hard to handle all devices as increase in lighting devices; the

time required for bi-directional data communication also increases. Also as number of devices increases,

length of DALI bus also increases which required more power. It is essential to handle all devices by

increasing speed of bi-directional data exchange with minimum power consumption. There is need of a

new technique which will increase the speed of communication as well as number of device load. To

increase the speed of communication DALI wire line bus will be exchange by wireless transceivers using

wireless sensor network (WSN). It reduces the transmission delay as well as energy consumption cost. It

will work 10 times faster than conventional wired DALI bus. By giving online (IOT) web interface it will

be very flexible to use.

Security Application For Android Based Devices

Chintawar Priya Dilip, Dr. S. S. Agrawal

[email protected]


ABSTRACT

This paper presents a system to enhance stolen or lost android cell phones by utilizing diverse services

like SMS and email. As the use of android mobile phone is expanding for internet banking, sparing some

critical data documents and photographs. In the event that somebody steals our android mobile phone, he

can abuse our financial balance and our own information, and it will be extremely unsafe for us. To keep

this we set forward another plan, to get the cheat by his photograph, name and area. The situation


proposed in this work is absolutely reliant on the equipment of your cell phone like camera (front) and

GPS. When this product is introduced, it will work out of sight, stores the current SIM number in a

variable and continues checking ceaselessly for SIM change, at whatever point SIM gets changed from

portable, it will take photo of thief by front camera, trace the location and get the IMSI number of new

SIM i.e., without taking user permission and after that it will send a SMS, to our alternate mobile number

and an email id, which was given at the time of application instalment. The benefit of this application is

that it is very easy to use, freely available and it continues running in background without interrupting the

user. To some degree it helps the user to catch the thief, and get our stolen mobile back.

Structure Modulated Sparse Representation for Image Enhancement

Deshpande Prajakta Prashant, Prof. R. P. Patil

[email protected]


ABSTRACT

Super resolution (SR) deals with enhancing the quality of Low Resolution (LR) to make them High

Resolution (HR). It is needed to design the system based on programmable logic for SR using sparse

representation method. Sparsity-based SR techniques deal with spacing the pixels of LR image and filling

them by estimating new pixels. SR based on sparsity concept, collective with structure modulated

technique, upgrades its modeling adequacy. The technique can be beneficial to favor the pursuance of

image super-resolution based on sparsity. Patch wise each LR image is divided and processed

iteratively for better results. The strained development issue of HR image recovery can be drafted by this

technique. Firstly the introductory assessment of expected HR image is brought by magnification based

on multi-scale level with back projection. Subsequently, by exploiting a regularization scheme sparse

modeling of single image SR is drafted. Sparsity scheme abolishes the aliasing effects and gives sharper

edges. It is ambitious to the state-of-the-art methods, both visually and quantitatively.

A self-oscillating mixer using 130-nm CMOS process

Dhuppe Kavita Atmaram, Dr. S. S. Agrawal

[email protected]


ABSTRACT

A self-oscillating mixer implement both the oscillation and mixing functionalities into a single device. It

works with injection locking phenomenon. A very low-power self-oscillating(SOM) is proposed. The

proposed technique is demonstrated in a 2.7-3GHz(s-band) with 130-nm CMOS process. It combines the

functionalities of mixer and oscillator under single bias current. The proposed SOM works with 800mV


power supply. It has power consumption of 0.33mW. The given design shows the noise figure of -

109.8dBc. Combining two devices into single reduces the chip size and cost of design. The proposed

SOM can be used in variety of applications like in the RF receiver section.

A Multi- Frame Image Super Resolution and Enhancement

Garade Aniket Prakash, Prof. R. P. Patil

[email protected]


ABSTRACT

Multi frame image super resolution aims to utilize information from a set of low resolution images to

compose a high resolution (HR) one. In order to meet requirement of high definition to reduce visual

uncomfortableness the low resolution video needs to be super resolved to full resolution (FR) size using

super resolution (SR). The missing high resolution (HR) pixels can be estimated by interpolation based

super resolution algorithm. A new high resolution provides super resolution (SR) and enhancement

algorithm. The high resolution has exploration of high resolution information and interpolated frames has

two benefits, i.e. 1) high frequency information contained in full resolution (FR) views can properly

utilized to super resolve low resolution (LR) view; 2) The original low resolution (LR) pixels in super

resolved views and compensate the luminance difference between views are improved by using the

interview redundancy. Thus, the proposed method can have recollected the details in regions with edges

while maintaining good quality at smooth areas.

Brain tumor detection using deep neural network

Gawande Suraj Sunil, Prof. W. M. Mendre

[email protected]


ABSTRACT

In this paper, A brain tumor detection and classification has been design & developed. The computer

based method is used to detect the tumor. Deep Neural Network (DNN) using stack autoencoders has

been implemented for classification of tumor. The MRI images of different patients with three kinds of

brain tumor: Meningioma, Glioma and Pituitary are used for classification. The Image processing

techniques such as image segmentation, feature extraction have been developed for detection of tumor in

MRI images. The watershed transform technique is used for segmentation. The texture based features and

intensity based features are extracted with help of Gray Level Co-occurrence Matrix (GLCM) & Discrete

Wavelet Transform (DWT). Finally a DNN using stack autoencoders has been developed to identify type

of brain tumor. Our network has stack autoencoders which consist of two autoencoders for feature


learning and one softmax layer for classification. We have obtained a good result with 92.3% accuracy.

Finally a Graphical User Interface (GUI) has been created to show the classifier output.

Broadband CMOS RF Power Amplifier Using Reconfigurable Interstage

Network

Kashiwar Neha Arvind, Dr. S. S. Agrawal

[email protected]


ABSTRACT

A two-stage broadband CMOS stacked FET RF power amplifier with a reconfigurable interstage

matching network is designed. The objective is to design a broadband power amplifier fallowed by a

reconfigurable switch to separate out the signals to desired band. Efficiency and bandwidth limitation

problem of power amplifier has become more serious with introduction of fourth generation long term

evolution standard. To overcome the bandwidth limitation from the high-Q interstage impedance, a

reconfigurable interstage matching network based on double frequency mode of operation is proposed.

The reconfigurable interstage network is composed of distributed RF switch. This reconfigurable network

based on class-J mode of operation used to get increased output power with high efficiency. The output

matching is realized with low pass matching network. The proposed RF power amplifier is designed

using 0.13 um silicon-on-insulator CMOS and covers frequency band from 0.65 to 1.20 GHz. This power

amplifier represents increased Power Added Efficiency (PAE) of 67.66 and bandwidth (BW) of 550MHz.

Hybride Combination Of Admission & Modulation Decision For Wireless

Embedded System

Komawar Abhinay Raju, Prof.M.S.Navale

[email protected]


ABSTRACT

Wirelesscommunication is among innovation's greatest commitments to humanity. Wireless

communication includes the transmission of data over a separation without help of wires, links or some

other types of electrical conduits. The transmitted separation can be anyplace between a couple meters

(for instance, a TV's remote control) and a large number of kilometers (for instance, radio

correspondence). A portion of the gadgets utilized for remote correspondence are cordless phones,

mobiles, GPS units, remote PC parts, and satellite TV.Wireless communication is progressively being

utilized to unify implanted gadgets in an assortment of dispersed frameworks application spaces, running


from remote sensor systems to the rising Since such implanted gadgets are firmly coupled both with their

surroundings and with each other through their remote correspondence channels, both varieties in their

surroundings and the frame-works have to react (infrequently quickly) to those varieties may deliver (1)

the need for such devices to communicate and (2) with it the potential for channel dispute to emerge,

progressively at run-time. In this manner, how remote channels among the installed gadgets are assigned

what's more, overseen in these frameworks may fundamentally impact both correspondence particular

nature of-administration (QoS) properties (such as message throughput) and more extensive QoS

properties, (for example, convenience of framework responsiveness) that rely on upon them. Now days

the researchers are mainly focused on the wireless communication to overcome the drawbacks. This paper

proposes a novel method in which the formal Markov decision process (MDP) model can generate value-

optimal policies for combined admission and modulation decisions

Motion Blur Estimation with Blind Super Resolution

Kore Swapnali Chandrakant, Prof. R. P. Patil

[email protected]


ABSTRACT

Today human is depends so much on the visual information for that image processing is an important

component. Super resolution (SR) is computation process of high resolution (HR) image from low

resolution (LR) image in order to increase the spatial and / or temporal resolutions. Video super resolution

is process of estimating high resolution (HR) video from low resolution (LR) video in order to increase

the spatial and / or temporal resolutions. Frame is upsampled using non uniform interpolation (NUI) super

resolution method. The blur estimation process is initially performed on few emphasized edges as

iteration continues. For the faster convergence the blur is estimated in filter domain rather than pixel

domain. The cost function used for frame de-blurring during the blur estimation process has fidelity and

regularization terms both of type Huber- Markov Random field (HMRF). Then the blur are determined

iteratively from some enhanced edges in upsampled frames. After blur estimation, the reconstructed

frames are discarded and a non- blind iterative super resolution process is performed to obtain the final

reconstructed frames using the estimated blurs. A masking operation is applied during each iteration of

final frame reconstruction to successively suppress artifacts by inaccurate motion estimation.

Underwater Positioning Sytem Based On GPS and Acoustic Signals

Mankari Ashish Ashokrao, Prof Mahesh Navale

[email protected]



ABSTRACT

Underwater positioning systems are commonly used in a wide variety of underwater work, including oil

and gas exploration, ocean sciences, salvage operations, marine archaeology, law enforcement and

military activities. This paper displays a portrayal of a submerged situating framework in view of surface

hubs furnished with GPS and acoustic transducers. The position framework computes the directions of a

submerged vehicle in one of the surface hubs or reference points, by the discharge, recognition, and

answer of acoustic encoded signals. The characterization of the framework has been performed by

method for a factual study, considering Different quantities of guides, signals' position, for example such

as noise, multipath, and Doppler spread. The mistake spread brought on by these wonders and the

geometrical arrangement of the framework has been quantitatively surveyed in various situating

calculations, in view of trilateration also, iterative methodology. The outcomes demonstrate how the

diverse wonders influence the vehicle assessed position blunders for the distinctive situating algorithm.

Content based image retrieval with relevance feedback for remte sensing

images

Patange Prajakta Bhaskarrao, Prof.P. S Deshpande

[email protected]


ABSTRACT

This concentrates on the first (S1) and second (S2) heart sound attestation construct simply concerning

acoustic properties; the suppositions of the individual scopes of S1 and S2 also, time breaks of S1-S2 and

S2-S1 are prohibited in the assertion handle. The urgent target is to dissect whether attempted and

genuine S1 and S2 assertion execution can even now be proficient under conditions where the term and

interim data won't not be available. A noteworthy neural system (DNN) method is utilized for seeing S1

and S2 heart sounds. In this framework, heart sound signs are at first changed over into a game-plan of

Mel-rehash Cepstrum coefficients (MFCCs).Along with MFCC few more spectral features are also taken

into consideration .The K-derives Count is related with pack MFCC highlights and spectral features into

two get-togethers to refine their depiction and discriminative limit. The refined segments are then asked to

a SVM and DNN classifier to perform S1 and S2 attestation. The DNN classifier gives higher assessment

scores accuracy of above 97% and SVM of 94% accuracy. The DNN-based framework can complete

reliable S1 and S2 attestation execution in context of acoustic qualities without utilizing an ECG

reference or joining the suppositions of the individual terms of S1 and S2 in like manner, time between

times of S1-S2 and S2-S1.

FPGA implementation of real time image stabilization


Sarang Shirole, Asst. Prof. A. B. Deshmukh

[email protected]


ABSTRACT

Digital integument establishment is an momentous video restitution technology rove aims to remove

unwanted camera vibrations outlandish coating sequences. Aegis stay away from between

accommodation bit and real-time tools production practicability, this layout open-handedness a detail-

based full border fog affirmation movement and a odd unmixed decidedly pipelined architectural design

to implement it on field programmable gate array (FPGA). In the self-styled make a proposal to, feature

low down are consummate extracted about the oriented countenance from unrestrainedly second over and

rotated binary robust independent elementary features algorithm and couple between consecutive frames.

Make inquiries, the matched purpose pairs are no great shakes to the affine alternative chisel usefulness a

random-sample consensus-based approach to estimate inter frame deportment robustly. Attack, the verge

on close-fisted are accumulated to assess the cumulative movement parameters between the verifiable and

relevance frames, and the translational capacity are smoothed by a Kalman filter representing intentional

camera movement. Clearly, a mosaicked icon is constructed based on cumulative motion parameters

privilege consumption and configuration mosaicking come close to, and stalwart a declare related to

goggles is created all over the on request frame ground according to the computed intentional camera

movement to get a full motion compensated frame. Usability pipelining and measure against processing

strategies, the thorough fight has been suited utilize a novel complete fully pipelined making and

implemented on FPGA to build a real-time stabilization regulations. The avant grade prudent shot at

shown stroll the nominal system tushie administrate apropos momentous Stripling video input except

for change interpretation and rotation and can generate full-frame stabilized output providing a better

viewing experience at 22.37 ms/frame, history achieving real-time processing performance.

A new approach of tracking human movements in laege view cases

Sontakke Vaishnavi Dipak, Prof. S.S Vasekar

[email protected]


ABSTRACT

Object tracking is an important task in the field of computer vision. In which the camera tracking have

become a common requirement in today’s society. The inexpensive video camera and the high quality

lens generates a great interest in the object tracking field. Generally, it is not easy to track human behavior

in an environment with a large view. So the project aims to solve the big problems which is associated

with the large view camera system to track the people in the large area which is single targets in nonlinear

motion, handle occlusion & to reduce the processing time. In this paper a new algorithm is used to solve

the problems which is by using a GbLN-BCO & model based particle filter. The proposed algorithm is

tested on the several set of video data. The accuracy of the tracking perform is greater than the previous

techniques i.e. unscented Kalman filter & Parzen Particle Filter.


FIR Fiter Implementation on FPGA Using MCM Design Technique

Trimale Manish Bhimashankar, Asst. Prof. P. G. Chilveri

[email protected]


ABSTRACT

Finite Impulse Response Filter is filter whose impulse response is of finite duration. Higher order of FIR

filter is required for meeting precise frequency specification in several digital signal processing

applications. But number of additions and multiplications increase linearly with filter length leading to

computational complexity. So a less complex Multiple Constant Multiplication design technique is used

for designing FIR filter in which given input is multiplied with set of constants. It basically reduces

number of additions required for realization of multiplication. Thus it is suitable for large order FIR filter

with fixed coefficients. Block processing along with transpose form of FIR filter is used to support

pipelining and higher sampling rate. Power efficient Spartan-3 FPGA logic family is used for hardware

implementation. Thus proposed structure provides an area and power efficient high performance design of

FIR filter with reduced computational complexity for both fixed and reconfigurable application.

Automation Using Power Line Communication

Utpat Kalyani Anand, Prof.P. S Deshpande

[email protected]


ABSTRACT

The main purpose of power line communication is digital data transmission /reception via power lines.

The power line communication uses existing power line infrastructure for communication purpose. This

concept provides comprehensive overview to the use of power line for communication purpose ranging

from channel characterization. A power line modem is all in one devise which consist of an encoder ,

decoder, modulator & Demodulator . Modem provide bidirectional half duplex communication over the

mains of any voltage up to 230V AC & for frequency 50Hz or 60Hz. Duplex communication suggest that

it will either transmit or receive information at a time however not each at a same time. Normally module

is in reception approach all the time listening to incoming communication on the power line. Once an

application gives serial data to transmit on its RXin pin it alternation over to communicate &

communicate the data though power line. Power line communication is used in this work to implement a

control network . The goals are to reduce the impact of wireless interference on smart home control

network and unnecessary energy consumption of a smart home. The Home automation will have master


unit that will control all the slave unit across power line medium. While designing the network it is

necessary to develop a system that integrate all electric apparatus in Home or Office.

PERSON RE-IDENTIFICATION AND SUMMARIZATION

Waykole Kajal Pradip, Prof. S. S. Vasekar

[email protected]


ABSTRACT

Tracking and re-identification in wide-region camera systems is a challenging issue because of non-

covering visual fields, differing imaging conditions, and appearance changes. In this project color drift

and clothing context-aware person search and re-identification method is utilized for a wide-area camera

network with an emphasis on summarization. A hypergraph representation is used to connect related

objects for search and re-identification. A diverse hypergraph ranking technique is proposed for person-

focused network summarization. Samples of Annotated are used to learn color drift patterns in a non-

parametric manner using the random forest distance (RFD) function.

CATARACT DETECTION

Yadav Mayur Rajendra, Prof. N. M. Wagdarikar

[email protected]


ABSTRACT

The percentage of blindness in today’s world above the age of 65 is 78% out of which more than 55% of

people are blind because they are suffering from cataract. The lens in the human eye enables one to see. It

is made up of water and some proteins. It is normally transparent. But when a person is suffering from

cataract, the lens losses its transparency and is formed when the protein clumps together and clouds the

lens due to which the lens loses its transparency and the person is not able to see as the light cannot reach

the eye. Cataract is the leading cause of blindness all over the world especially in senior citizens. Its initial

symptoms are watering of eyes, blurred view, white spot can be seen in the eye.

A Four-way Lossless RF Power Amplification


Bhagat Nikita Ranjeet, Prof. A. A. Yadav

[email protected]


ABSTRACT

A primary drawbacks of conventional outphasing power amplifier are the requirement of both a Radio

Frequency (RF) carrier input and a separate baseband input to synthesize a modulated RF output. This

work focuses on RF power amplifier with avoiding the need for multiple costly IQ modulators and

baseband signal component separation. An RF signal decomposition network directly synthesizes the

amplitude and phase-modulated signals used to drive the branch power amplifiers (PAs). The proposed

technique is demonstrated at a frequency range of 2.4 - 2.45 GHz power amplifier which is a four-way

lossless power amplifier with transmission line power combiner. The proposed technique overcomes the

loss and provides ideally lossless power combining. A transmission line resistive compression network is

used to implement RF decomposition network. The resulting four-way lossless RF power amplifier gives

1 dB drain efficiency of 77.31 % and output power of 95.45 - 99.83 W along with 11.79 dB gain.

Multiple sensor fusion and classification for moving object detection and

tracking

Bhanse Ankita Arun, Prof. S. S. Vasekar

[email protected]


ABSTRACT

The precise detection and order of moving objects is a basic part of advanced driver assistance systems.

This framework trusts that by including the object arrangement from different sensor detection as a key

part of the object's portrayal and the observation procedure. In this paper we improve the perceived model

of environment. First, we define the object representation along with the classification and second, we

gives a complete fusion framework to solve the detection and tracking of moving object. Vehicle

recognition is made out of two primary undertakings: simultaneous localization and mapping (SLAM)

which produces a guide of the environment while all the other restricting the vehicle inside the guide

given every one of the measurements from sensors; and DATMO which identifies and tracks the moving

objects surrounding the vehicle and evaluations their future conduct.

Personal Authentication Using Knuckle Patterns of Palm-Dorsa Vein

Chavan Pooja Ram, Prof.S.A.Panwar

[email protected]



ABSTRACT

We introduce a method of personal authentication based on well-known vein biometric which uses finger-

vein patterns. The biometric identification using finger vein has increasingly generated interest from both

academic and industry because of its accuracy, robustness and anti-spoofing characteristics. Anterior

research that are documented in the finger vein biometric literature have only look into ventral vein

pattern that is formed on the lower part of the finger underneath the skin surface. This paper investigate a

new approach of personal authentication using knuckle patterns of palm-dorsa vein .Thus this

beneficial for recognition of the target subject. We exhibited a complete automated approach with the key

steps for processing captured vein images such as, Region of Interest (ROI), pre-processing to enhance

vein pattern, feature extraction and matching .In this work we have used two types of feature extraction

techniques namely local feature extraction and global feature extraction which extracts vein patterns and

vein structures (lines, texture feature) respectively. Finally we have adopted separate comparator to

compare the results for both techniques of feature extraction

Disease detection by using image processing

Rupali Sampat Misal, Prof. V. S. Kulkarni

[email protected]


ABSTRACT

This paper illustrates the automated diagnosis of

Malaria and dengue are a mosquito-borne infectious diseases affecting humans .Malaria with help of

malaria parasite in microscopic images of thin blood films. And dengue analysis with help of counting the

platelets. This two diseases can be tested and validated in MATLAB. Those technique faculties the blood

parts for example, those red platelets (RBCs), White platelets (WBCs), and identifies those parasites in

the contaminated RBCs. The provision also Investigation those separate parasites and calculates those

parasitemia which may be a measure of the level from claiming spoiling. Dengue fever is a viral ailment

Furthermore it may be a primary issue done a significant number generating countries, including India.

Dengue Haemorrhagic fever this might be dissection by pathologist utilize the manual system because of

which there is quite a few likelihood for identification of sickness constantly made regarding illness. This

paper lessens work intensive, duration of the time and expense. Additionally help will number detects

those red blood cells (RBCs), White Blood cells (WBCs), Also identifies the parasites Additionally those

contaminated RBCs Furthermore WBCs. In those consequence we will get those effective analysis from

claiming intestinal sickness.


High Performance 60GHz LNA Design for Variable Gain Amplifier by using

150-nm GaAs Technology

Gade Abhishek Govardhan, Dr. S. K. Shah

[email protected]


ABSTRACT

The use of broad bandwidth for multi-gigabit data transmission has been increased widely. The VGA

which is nothing but variable gain amplifier has high bandwidth. The 60 GHz band used into transceiver

for various high speed communication activities. LNAs are essential building blocks for wireless

receivers. The LNA designed with 150 nm GaAs FET technology. LNA designed with IR rejection filter

gives 24.964 dB gain and 2.701 dB minimum Noise Figure. The LNA consists of four stages into a

cascaded form of common source. 1 V voltage supply requires for circuit operation.

Brain Tumor Detection Using Segmentation and Classification Technique

Gore Ashish Vyankatesh, Mrs. R. K. Kulkarni

[email protected]


ABSTRACT

the large data set demands a highly productive segmentation and classification system. This system shows

brain tumor classification in the form of different classes. This system depends on segmentation scheme.

The segmentation stage partitioning a digital image to number of regions and extracting useful regions.

Tumor tissues are differentiated in segmentation. The segmentation processes composed with the help of

level set region based methodology. The segmented part is get ahead to feature extraction stage. At the

finally stage outcome as a classification of segmented tumor images with the help of extracted features.

Classification done with the help of support vector machine classifier. Support vector machine recuperate

the classification over different classification techniques. The classification sureness achieved by the

actualized method is better as compare to another’s.

Automated Glaucoma Screening based on CDR Assessment

Swapnali Ashok Bhapkar, Prof. V. S. Kulkarni

[email protected]


ABSTRACT


Glaucoma is a disease that damages the optic nerve. It causes irremediable blindness if it is left untreated.

This has made glaucoma detection as the main research topic in the field of medicine. Currently, there is

no effective method that can be used for low cost population-based glaucoma detection or screening.

Recent studies have shown that automated optic nerve head assessment from 2D retinal fundus images is

capable of low cost population-based glaucoma screening.

The proposed system explains a method for cup to disc ratio (CDR) assessment using 2D retinal fundus

images. In the proposed system, the optic disc is first segmented and cup to disc ratio is calculated. In this

paper, the disc is located using earlier brightness based method, which performs well in our data sets for

glaucoma. The segmentation estimates the disc boundary, but pathological changes around disc, blood

vessel occlusions, and variable imaging conditions makes it a challenging task. Here, the disc is

segmented using the self-assessed disc segmentation method, which is a combination of three approaches.

It has been shown that the self-assessed method achieves more accurate disc segmentation than the

individual methods.

Resolution enhancement on multi frame and quality assessment strategy

Khatpe Vrushali Ganpat, Dr. S. K. Shah

[email protected]


ABSTRACT

Multi-frame image super-resolution is a procedure which takes several noisy low resolution images of the

same scene, acquired under different conditions, and processes them together to synthesize one or more

high-quality super-resolution images, with higher spatial frequency and less noise and image blur than

any of the original images. The inputs can take the form of medical images, surveillance footage, digital

video, satellite terrain imagery, or images from many other sources. So, proposed system presents a multi-

frame super resolution approach to reconstruct a high-resolution image from several low-resolution video

frames. The proposed algorithm find out the motion between the frames using motion vectors that data is

use for the super resolution of the frame. As a result, the proposed algorithm can remove interpolation

artifacts. A super resolution method which is generate high-resolution (HR) image from one or more low

resolution images and lastly different image quality metrics going to measure. The propose algorithm will

be suitable for consumer imaging devices including ultra-high-definition (UHD) digital televisions,

surveillance systems and medical imaging systems for image restoration and enhancement.

A Wideband Variable-Gain Amplifier for High Frequency Applications

Sourabh B Waghmode, Prof. V. S. Kulkarni

[email protected]



ABSTRACT

A VGA is used to provide a variable gain for input signals of varying strength. Hence VGAs have

become crucial blocks in wireless transceiver sections. The ability of VGA to amplify signals of varying

strength increases the dynamic range of the receiver. The effect of cascading on the parameters of

variable gain amplifier (VGA) has been presented. The single stage VGA block is termed as "basic unit

cell". The basic unit cell is a simple structure which can be cascaded to achieve more gain. The designed

cascaded VGA has a large Bandwidth and low noise. Bandwidth of 3 GHz and a Noise Figure of 4 are

measured. The cascaded VGA not only has a large gain but also a large linear gain range and very small

gain error. A maximum gain of around 38 dB and a gain range of around 26 dB are achieved. Moreover

the cascaded VGA only consumes few milli-amperes of current from a 1.2V supply. The robustness of the

design is verified by means of ADS simulation.

FPGA-Based Railway Safety By using Ultrasonic and Infrared sensors

Ingle Akash Shrikrishna, Mrs. R. K. Kulkarni

[email protected]


ABSTRACT

Presently railroad assume imperative part in individual for transportation. Because of persistent

development of railroad in key division, for example, rail route speed, flagging framework,

correspondence framework and so on and development of programmed framework, it is more vital to

introduce security gadgets. One of these gadgets is snag fall finder on the track. It uses to distinguish

sudden appearance of protest in wellbeing zone. Gadget comprise of a multisensory framework, it is in

charge of identifying items on tracks. Ultrasonic (US) and infrared (IR) are for the most part utilized on

FPGA (field programmable gate array) board keeping in mind the end goal to process information from

sensors. These framework are isolated into two sections, initial segment is detection of signal. second part

is observing system. Initial segment relates to producing and accepting acoustic and optical signals, which

are put at inverse side of railroad track, individually. In first stage FPGA is utilized to encode motion

from sensors and identifying object on the track or not. As worries about security such gadgets are

imperative.

Traffic sign recognition using SVM

Jayateerth S Pandhari, Prof. N. M. Wagdharikar

[email protected]



ABSTRACT

A few applications require data about road furniture. Some portion of the assignment is to study all

trafï¬•c signs. This must be accomplished for a large number of km of street, and the activity should be

rehashed occasionally. The paper proposes a pipeline for the efï¬•cient location and acknowledgment of

trafï¬•c signs from such pictures. The errand is trying, as enlightenment conditions change consistently,

impediments are visit, sign positions and introductions fluctuate considerably, and the genuine signs are

far less comparable among equivalent sorts than one may anticipate. Here one can see blend of 2D and

3D strategies to enhance comes about past the cutting edge, which is still particularly engrossed with

single view examination. For the underlying location in single edges, an arrangement of shading and

shape-based criteria is utilized. They yield an arrangement of competitor sign examples. The choice of

such competitors considers a noteworthy accelerate over a sliding window approach while keeping

comparative execution. A speedup is additionally accomplished through a proposed efï¬•cient limited

assessment of AdaBoost locators. The 2D discoveries in different perspectives are in this manner joined

to create 3D theories. A Minimum Description Length definition yields the arrangement of 3D trafï¬•c

signs that best clarifies the 2D recognitions.

pre encoded multipliers using NR4SD algorithm

Shrish Managuli, Prof.N.M.Wagdarikar

[email protected]


ABSTRACT

I exhibit a building of pre-encoded multipliers for Digital Signal Processing applications in light of

separated encoding of coefficients.

To this build up, the Non-Redundant radix-4 Signed-Digit (NR4SD) encoding strategy, which uses the

digit values{-1,0,+1,+2}or{-2,- 1,0,+1} , is proposed inciting a multiplier layout with less personality

boggling midway things use. Wide trial examination affirms that the proposed pre-encoded NR4SD

multipliers, including the coefficients memory, are more domain and power compelling than the common

Modified Booth plot.

Enhancement of Image Quality by using Super-Interpolation

Kumbhar Sudarshan Fulchand, Prof. R. P. Patil

[email protected]



ABSTRACT

In most digital imaging applications, high resolution images are usually desired for later image processing

and analysis. The goal of Image Super-resolution (SR) is to build a high resolution image from a low

resolution (LR) images. The SR is a classic and active image processing problem which aims to create a

high resolution (HR) image from low resolution input image. The main aim of SR is to generate the HR

image with good visual quality. The proposed work presents fast SR method, called Super-Interpolation

(SI), by using a quality-enhancement step. The proposed SI method utilizes edge-orientation-based

kernels, which inherits the simplicity of interpolation and the quality enhancement of SR. This SI method

involves two phases off-line training phase and on-line up-scaling phase. In the off-line training phase,

training LR image patches are grouped into different edge-orientation (EO) classes based on their edge

orientations. For each EO class, a class-dependent linear mapping function is learned between training LR

and HR image patch pairs. In up-scaling phase, an HR output image patch is generated for each LR input

image patch, by applying an appropriate linear mapping function. The proposed SI method has a unified

structure of simple interpolation and elaborate quality enhancement with low complexity.

Patch based single image super-resolution

Saurabh Babarao Lakade, Dr. S. K. Shah

[email protected]


ABSTRACT

In this paper we propose a resolution enhancement approach using patch based learning method. The

patches in natural image are occurred repeatedly many time inside the image. The tendency of occurring

is within the same scale, as well as across different scales. Hence the present method estimates a function

to predict the pixels of a High Resolution patch using its corresponding Low Resolution pixel and their

spatial neighbourhood. This method gives best results in terms of reconstruction accuracy of output High

Resolution patch size when given input Low Resolution patch size is increased. The patch based single

image super-resolution is more efficient than methods which uses convolutional neural networks in terms

of input-output patch sizes and a computationally expensive learning algorithm.

Heart sound recognition using deep neural network

Kumbhare Prerna Ramdas, Prof. A. A. Yadav

[email protected]


ABSTRACT


This concentrates on the first (S1) and second (S2) heart sound attestation construct simply concerning

acoustic properties; the suppositions of the individual scopes of S1 and S2 also, time breaks of S1-S2 and

S2-S1 are prohibited in the assertion handle. The urgent target is to dissect whether attempted and

genuine S1 and S2 assertion execution can even now be proficient under conditions where the term and

interim data won't not be available. A noteworthy neural system (DNN) method is utilized for seeing S1

and S2 heart sounds. In this framework, heart sound signs are at first changed over into a game-plan of

Mel-rehash Cepstrum coefficients (MFCCs).Along with MFCC few more spectral features are also taken

into consideration .The K-derives Count is related with pack MFCC highlights and spectral features into

two get-togethers to refine their depiction and discriminative limit. The refined segments are then asked to

a SVM and DNN classifier to perform S1 and S2 attestation. The DNN classifier gives higher assessment

scores accuracy of above 97% and SVM of 94% accuracy. The DNN-based framework can complete

reliable S1 and S2 attestation execution in context of acoustic qualities without utilizing an ECG

reference or joining the suppositions of the individual terms of S1 and S2 in like manner, time between

times of S1-S2 and S2-S1.

Analysis and detection of obstractive sleep apnea during sleep

Lungare Pallavi Pralhad, Prof.S.P.Deshmukh

[email protected]


ABSTRACT

This paper exhibits another procedure to detect and analysis of obstructive sleep apnea (OSA) in people.

We identified class of the individual, such as normal class, abnormal-medium and abnormal high. The

merits of the proposed approach is that it requires less mathematical calculation and does not require any

manual adjustments and does not depend on the patient posture. The proposed of region growing

segmentation technique is acquire great exactness. It is a quick technique to help for good outcome. Our

contribution is to extract the different features of detected by people. Exploratory outcomes on genuine

rest apnea information demonstrate the precision of the proposed display. We acquire stepwise outcome.

forgery image detection in forensics

Sarkate Pravinkumar Vishnu, Prof.N.M.Wagdarikar

[email protected]


ABSTRACT

Images have become a powerful tool for communication nowadays as they are used every day in

newspapers, magazines, websites and advertisements and provide various information. Images can save


the moments very easily. There are also a lot of powerful editing software. As result, the trustworthiness

and genuineness of advanced pictures is lost. The proposed framework investigating changed spaces,

spoken to by picture illuminant maps, to propose a philosophy for choosing reciprocal types of describing

visual properties for a compelling and computerized identification of picture fabrications and join factual

telltales given by various picture descriptors that investigate shading, shape and surface components.

Additionally concentrate on identifying picture fabrications containing individuals and present a

technique for finding the fraud, particularly the substance of a man in a picture.

Heart sound detection based on Nonlinear signal decomposition

Pujari Amruta Sahadev, Prof. A. A. Yadav

[email protected]


ABSTRACT

To reduce the probability of heart attack and improves effectiveness and efficiency of the heart sound

analysis, it is necessary to detect the presence of third heart sound which is main cause of heart failure.

Third heart sound (S3) is a low amplitude and low frequency signal as compared to first (S1) and second

(S2) heart sound, so it is difficult to observe presence of it. Many systems developed for detecting S3 but

they had some issues such as spline problem and cross term effects. The presented methods overcome

these problems. The heart sound signals are nonlinear and non-stationary. Thus, in the presented system

Nonlinear Decomposition Method i.e. Hilbert Vibration Decomposition (HVD) method decomposes

signal into certain no. of subcomponents and provides slowly varying lowest frequency components.

Then, nonlinear Time Frequency Representation (TFR) followed by reassignment method i.e. Smoothed

Pseudo Wigner Ville Distribution (SPWVD) is applied on these signals. Higher energy portions of signal

and actual positions of S1, S2 and S3 determines by SPWVD. Then, calculate time difference between S2

and S3 to avoid confusion with fixed S2 split. Thus, by using the system, presence of third heart sound S3

can detected accurately.

Object Tracking and Analysis Based Smart Video Surceillance Security

System

Mane Shruti Subhash, Dr. S. K. Shah

[email protected]


ABSTRACT

Video surveillance security system is process of automatic recognition and evaluation of critical situations

in LC environments in order to object tracking and analysis. Videos are essentially successions of


pictures, each of which is known as a frame, shown in sufficiently quick recurrence with the goal that

human eyes can percept the continuity of its content. However the contents of two continuous frames are

firmly related. Consequently two adjoining frames can be utilized to track status of items in the scene as

moving or still. Clearly all image processing procedures can be connected to individual frames

performing video examination. Object is tracked when there are enough detected pixels belonging to

moving objects. Safety and security are the most valuable concepts in the road and railway transportation

field. Various systems are designed for tracking of linear motion of objects at level crossing. In this

project smart video surveillance security system is proposed. The first step contains detection of object by

using background subtraction method. Second step is tracking of linear as well as non-linear motion of

object by using ensemble kalman filter. Last step is analysis of various situations such as object is

crossing the field, object is in safe zone and object is in danger zone.

Underwater Image Enhancement using Dark Channel Prior & Gamma

Correction

Powar Onkar Ganpat, Prof.N.M.Wagdarikar

[email protected]


ABSTRACT

Underwater images are usually degraded due to the effects of absorption and scattering. Underwater

imaging is very important in present technology for detecting object like fishes, algae, minor particles etc.

Light scattering and color change are two dominant sources of distortion for underwater imaging that

lowers the visibility and contrast of the captured images, affects ambient underwater environment

dominated by a bluish tone. Hence, the presented system demonstrates a novel approach to enhance

underwater images by distance factor estimation along with a dehazing algorithm and histogram

equalization. The noise particles are removed before dehazing by implementing distance factor based on

intensities of different color channels with gamma correction improving the brightness of dimmed

images. The dark channel prior removes haze and noise effect, providing better visual quality with

adaptive exposure map estimation for adjusting too dark and too bright regions of underwater image. At

the final stage, the contrast and brightness of dehazed image is recovered by using contrast limited

adaptive histogram equalization. The enhanced haze-free, natural appealing output can be used for display

and analysis purpose.

Secured Video Using Reversible Texture Synthesis

Patil Komal Mansing, Prof.S.P.Deshmukh

[email protected]



ABSTRACT

A steganography is the technology and skill which is useful for hiding the data, accordingly

steganographic framework covers contents in unexceptional media so no one arouse eavesdropper’s

suspicion. This paper proposes novel approach for steganography utilizing a reversible texture synthesis.

A texture combination prepare re-tests a smaller surface picture which mixes another surface picture with

a similar adjacent appearance and subjective size. To cover secret messages the texture synthesis process

interconnects into steganography.The proposed method is very efficient than other existed method our

approach offers that the embedding capacity is quite proportional to the size of the stego texture image.

Second, a steganalytic calculation is not prone to crush our steganographic approach Our approach offers

three particular focal points. To initiate with our plan offers the inserting limit which is corresponding to

measure stego surface picture. Secondly a calculation of a steganalytic is not prone to crush our approach

towards steganographic. Third, the plan of the reversible ability provides a functionality which permits

recovery of a source texture. The experimental results show the accuracy of the proposed system.

Object detection and separation based smart video surveillance system

Pawar Asmita Ravindra, Dr. S. K. Shah

[email protected]


ABSTRACT

Safety and security are the most important points in the transportation field. Installation of Smart video

surveillance system is the effective way to have safety protection on roads. Vision-based surround

perception has progressed from its infancy into maturity. This work includes the video surveillance

system for railway transportation system at Level Crossing (LC) environments. Latest security initiatives

in the field of railway transportation propose to implement video surveillance at level crossing (LC)

environments. This work additionally proposes that lane detection to be implemented to increase the

accuracy of the system to detect the moving objects. This system is tuned for detecting & evaluating

abnormal situations induced by users (pedestrians, vehicle drivers, and unattended objects) in LCs. This

system firstly detects and then separates the moving objects shot in LC. The method starts by detecting

pixels affected by motion as a pre-treatment phase. Once the targets are extracted from the current frame,

the objective is to track them. The proposed analysis allows for also recognizing hazard scenarios. Four

hazardous situations are detected & evaluated with different real video image sequences: presence of the

obstacle in the LC, presence of the stopped vehicles line, vehicle zigzagging between two closed half

barriers, and pedestrian crossing the LC area.


Design and Implementation of automation system in manufacturing plant of

Gas spring assemblies

Priti Giridharrao Kulkarni, Prof. S. K. Jagtap

[email protected]


ABSTRACT

Industrial automation programming and design is largely based on PLCs .Following 40 years of their

presentation, they are as yet the most predominant execution stage for robotization frameworks in

numerous enterprises. This venture incorporates planning and usage of robotized framework for

assembling of gas spring congregations utilizing Mitsubishi Electric Q PLC arrangement PLC and servo

engines in help with GOT Human Machine Interface. Offered spring is comprehensively used as a piece

of the autos for a smooth movements of engine compartment .This spring is made at our all around

prepared assembling unit by using quality affirmed segments and spearheading innovation. By

Synchronizing Servo Motors, which are controlled utilizing PLC. At present, synchronisation is achieved

using DSP. As Cost of DSP is more, it is proposed to implement design using PLC. The outcomes, which

will get with PLC, need to contrast and the outcomes that have acquired with existing technique for

Synchronization by utilizing DSP. This robotization arrangement incorporates the mechanization between

various assembling stages, for example, Rod Insertion station, Grooving station, shutting station, Gas

charging station, Rod Pullout station.

Asymmetric stereoscopic video super resolution and depth estimation

Mahadik Ashwini Kundalik, Prof. R. P. Patil

[email protected]


ABSTRACT

Recreation of full-resolution stereoscopic video from a asymmetric stereoscopic video is a challenging

assignment. The existing techniques accept that the depth information is available, which forces an

additional challenge in data acquisition. In this paper, we propose a novel plan that is fit for acquiring

super- resolution and depth estimation at the same time from an asymmetric stereoscopic video. The

proposed plot models the video super-resolution and stereo matching with a unified energy function. At

that point, we apply alternating optimization technique to minimize this energy function, which can be

implemented with a two- step algorithm. In the initial step, initial depth map is calculated using region

based co-operative optimization technique to minimize this energy function, which can be implemented

with two step function. In the second step, the super-resolution issue under the direction of the depth

information is resolved. It is powerful on the grounds that each step provides extra benefit over the past

step. These two steps are iteratively updated until stable depth and super- resolution results are acquired.

Series of experiments are conducted on open stereoscopic video arrangements to assess the performance

of the proposed technique. Based on comparison of objective indices and subjective visual results, it


confirms that proposed scheme can achieve satisfactory super-resolution results and high-quality depth

map simultaneously. Specifically, the subjective assessment experiment on 3D screen shows that this

technique outperforms others and accomplishes the best visual sharpness.

Industrial Automation using IOT with Raspberry Pi

Merchant Hussain K, Ahire D.D

[email protected]

MATOSHRI COE&RC, NASHIK [58]

ABSTRACT

Industrial Automation using IoT with Raspberry Pi.

Abstract: Internet of Things (IoT) is propagating and blooming technology,

in previous years. IoT is the collection of the sensors data through embedded

system and this embedded system upload the data on internet. There are

many challenges to IoT and Industrial Automation for example Data and

service security, Trust, data integrity, information privacy, scalability and

interoperability Automation Domain Constrains. This paper combines the

concept of Raspberry Pi Industrial workstation and Industrial Automation

using IoT. The system uses the raspberry pi as controller and server, the

programing is done in the python language. The webpage is designed in

HTML, JQuery, ajax and Flask as framework for rendering the HTML

template in python. All sensor data are collected through raspberry pi. All

the use full data are access remotely through internet of thing platform. Here

the blade ageing system of cutter tool is taken to as industrial example and

current is monitored to the webpage using raspberry pi as server. This

system demonstrates successful measurement of current consumption of

cutting tool and indicate to change the blade if it damaged. It also senses the

Brain Wave Generator Using dsPIC Digital Signal Controller

Hale Laleeta S, Ahire D.D

[email protected]


ABSTRACT

Depending on brain’s current levels of relaxation, focus, and other mental states, brain will

produced variable proportions of brain wave types. Each category of

EEG(electroencephalography). Generally people’s brain waves will respond to lights and sounds


thuding at brain wave frequencies, and it will impact the change in state of brainâ€” this activity

called â€œentrainment.â€•

We can plan our brain to follow any brain wave experience as we like by toggling sequences of

pulses into eyes and ears. So here we are going to program various frequencies which are

correlated to brain modes like Alfa, Beta, Gamma, Theta, & Delta by implementing Brain wave

generator (BWG) using dsPIC Digital Signal Controller. In this paper, we are generating the

above frequencies using the two separate frequencies to produce binaural bits in the brain

according to the state which we want. This technique is using for the audio signal. For The visual

signal we are going to program the ON/OFF of LED lights.

This will be very useful in medical field for psychiatrist and many more applications.

Complete Industrial Solution for Automation in Temperature and Humidity

Monitoring and controlling using LabVIEW

More Urmila R, Dighe Dd

[email protected]


ABSTRACT

Complete Industrial Solution for Automation in Temperature and Humidity

Monitoring and controlling using LabVIEW

ABSTRACT

Industries like biomedical, agricultural and pharmaceutical which forms backbone of

countries economy. The monitoring of humidity and temperature is important part in such

industries [1]. The controlled environment forms a foremost criteria in all of the above industries.

Small deviation in the environmental conditions can cause heavy financial losses because of

alterations in productivity in the pharmaceutical and agricultural industries. The technological

advancements in various field including instrumentation is kept in mind and care was taken to

utilize it. This improves the functionality of the device proposed.

The proposed system provide a solution for similar problem. The system can remotely

monitor the temperature and humidity levels of different parts and is supported by labView

software platform. Also it has the functionalities such as secured access for user login, easy

reconfiguration of user data, alarm facility in case of over limit and data logging capability for

further analysis. All these make it ideal for industrial applications.

DEVELOPMENT OF PLC BASED TRANSDERMAL PATCH

EVALUATION SYSTEM

Dabhade Supriya K, Dighe Dd


[email protected]


ABSTRACT

DEVELOPMENT OF PLC BASED TRANSDERMAL PATCH EVALUATION SYSTEM

Abstract

The paper describes the basic adhesion which signify combination of all interfacial

intermolecular interactions where â€œpractical adhesion â€œpresent forces & work need to be

disrupted of interfacial region to adhere the system .there are many factors which influence

practical adhesion and basic adhesion is discussed. Basically thickness of adhesion cannot be

determined by common techniques for that ideal practical adhesion test is outlined. Some of the

adhesion measurement techniques thin films, thick films, and coasting are discussed briefly, and

references are made to the recent reviews on this topic.

For the adherence all techniques are different while measuring the adhesion. While measuring

the adhesion involved difficulties are highlighted, and the unresolved problems are brought into

sharper focus. Examination of failure surfaces carried out using analytical tools to ascertain the

locus at failure is important to understand mechanism.

ROBUST performance of CNTFET based Inverter in nanometer regime

Bhavar Somali R, R.S.Khule

[email protected]


ABSTRACT

this paper the performance analysis of CNTFET inverter under the PVT variation presented

.the influence of variation of parameters of CNTFET inverter is simulated and analyzed using H-

SPICE tool and Stanford Nano model-39 of CNTFET. PVT variations of Ion=Ioff ratio,

transconductance subthreshold swing and threshold voltage of the device are studied. It’s been

observed that the temperature increases Ion=Ioff depreciates even though Ion increases. Thus

increasing the temperature is not good for the device because SS increases. As diameter

increases, the Ion=Ioff increases but the SS increases too. Thus the net effect is almost same.

Same is the case with respect to the supply voltage.

Tomato leaves disease detection using Image processing

Verbal Sagar V, Khule R S

[email protected]



ABSTRACT

Title: Tomato plant disease detection using Image processing

Agriculture is the major sector in India. About 58% of the rural livelihood influenced by in

agriculture. Out of which tomato is one of the common food crops in India. Due to which detection

of disease on tomato plant becomes important because less susceptibility. The plants productivity

gets affected if proper care is not taken. Image processing is one of upbringing technology which

is helping to resolve such issues with various algorithms and techniques. Most of the diseases of

tomato plant detected at initial stages as they affects leaves first. By detecting the diseases at initial

stage on leaves will surely avoid impending loss. In this paper four key diseases are identified

using image segmentation and Multi-class SVM algorithm. For parting of damaged area on leaves

image segmentation is used and for classification of accurate disease Multi-class SVM algorithm

is used. In last stage symptoms and treatment to detected diseases recommended

Low Cost Monitoring station busy Raspberry Pi

Baste Marvin A, Dighe Dd

[email protected]


ABSTRACT

Abstractâ€” In this paper we have designed , developed and tested a low cost weather monitoring station

using raspberry pi, which monitor the weather data including wind speed, wind direction, air

temperature, humidity, atmospheric pressure , rain , and solar radiation .Weather data are send via Wi-

Fi network to an database server as well as it stored in memory card. On other hand, an web application

which presents acquired weather data at remote location. This system is provides real-time data

acquisition and transfer of measured parameter like other high cost commercial weather station. It is

very low cost, small size , easy use and reliable which can be easily use in various application.

Smart Pollution Monitoring using IOT

Bhagwat Ashwini G, Khule R S

[email protected]


ABSTRACT

ABSTRACT- In recent decades, the science and engineering have been heavily influenced by their

responsibilities to the society. This responsibility has been directed towards the protection of


public health and welfare. In devising controls for emission of pollutants, scientists and engineers

have developed strategies for monitoring the environmental pollution problems. Environmental

monitoring describes the processes and activities that need to take place to monitor the quality of

the environment. All monitoring strategies and techniques have reasons and justifications which

are often designed to establish the current status of an environment or to establish trends in

environmental parameters. In this paper, we have proposed an idea to monitor pollution using IoT

Techniques. The extent to which the environment gets affected is noted and corresponding

control and prevention practises are implemented. The Higher Officials in that area gets notified

about the pollution range and the necessary steps

RFID based Attendance sydtem

Baviskar Snehal V, Dighe Dd

[email protected]


ABSTRACT

RFID means Radio Frequency Identification. It is a wireless identification technique which has become

very popular these days. It is used for smart system that can be used to identify, monitor secure and do

object inventory by the use of radio frequency. This technology is also used in Library Management

System, Bank locker security system etc. This technique is safe, secure, faster and easy to use with lower

overheads in contrast with the other conventional techniques such as bar code, biometrics etc. It has two

components i.e. RFID tag and RFID reader. RFID reader is the device capable of reading and retrieving

information stored inside the RFID tags. This paper presents a design of an Automatic Attendance System

for both students and professor with parent notification sent via GSM.

Today in most institution professors take attendance by calling out names or passing a sheet of

paper. Both way have respective drawbacks. For this reason college needs to create a system to monitor

students attendance and report it to their parents automatically and it also gives report about their test

marks through SMS process. This project is to simplify attendance recorder system by using RFID.

Smart Printing Error Detection for Printed Circuit Boards

Pratiksha Ramrao Masalkar, Prof. Prabha S. Kasliwal

[email protected]

MIT ACADAMY OF ENGG. PUNE [028]

ABSTRACT

Nowadays, the use of printed circuit boards (PCB) has been increased to the great extent. A bare Printed

Circuit Board is nothing but a PCB without any components mounted on it. A PCB plays a vital role in


many electronic devices. There are different defects that are introduced during the manufacturing process

which can affect on circuit's performance. The proposed paper presents some of the latest work carried

out in detecting defects on bare PCB. The proposed paper introduces three main algorithms namely

template matching, image subtraction, and image morphology. Template matching is used to find the

regions of a source image that is similar to the template image. Using image subtraction algorithm, we

compare an image of a PCB which is to be inspected with a reference image of a PCB to give defects.

Image morphology is an algorithm which compares features between an inspected image and template

image.

Keywordsâ€”printed circuit boards; template matching; image subtraction; image morphology

An Enhanced Video Summarization System using Musical Features

Shweta Dnyaneshwar Kherde, Prof.D.Y.Sakhare

[email protected]


ABSTRACT

Abstractâ€” Today, large amount of multimedia storage location make the browsing, accessing and

delivery of video contents very gradual and even very difficult for the handling. To increase faster

browsing of large video collections and extra efficient content indexing and accessing,video

summarization has been projected.In this paper, I aims to provide a largely approach by using musical

features for video summarization system. Paper focuses on the segmentation of a particular group of

multimedia content, audio-visual musical streams, into small music pieces. Current approaches consist in

direct clustering in a few audio classes (music,speech,noise) and to my knowledge in the case of audio-

visual musical streams no consistent evaluation has been performed yet.Detailed studies by experienced

users have been conducted to determine the quality of summarization. I presented different techniques for

feature extraction and classification such as MFCC and SVM .My aim is to reduce the database required

for the video by video summarization.The experiments on various genres of musical video and

comparisons with the summaries only based on music track and video track shows that the results of

summarization using proposed method are very useful and effective to help realize user’s expectation.

Keywordsâ€”MFCC; SVM; Segmentation; video summarization; features.

Indoor target tracking using improved RSSI in WSN

Anuradha Rajendra Lohar, Prof.S.A.Khandekar

[email protected]



ABSTRACT

ABSTRACT-Localization of wireless nodes is one of the basic aspects of wireless sensor networks. For

Indoor localization the RSSI (Received signal strength indicator) based target tracking is mostly used

because it is very economical, no any additional hardware required, and it is very easy to understand. But

the problem with pure RSSI scheme is the RSSI value get fluctuated by the environmental conditions and

also due any other physical disturbances. So to improve the accuracy of system we use the kalman filter

and unscented kalman filter. This paper presents the results of all these filters implementation for target

tracking.

Bridging Communication Protocol

Ashish, Dr. Debashis Adhikari

[email protected]


ABSTRACT

Abstractâ€” Directly LIN Protocol is not compatible with CAN protocol, it can be thought that the two

will operate in concurrence with one another. For communication throughout the car CAN might be used,

while within a small section of the car LIN Protocol would only be used, say for passenger comfort and

driver assistance. To connect the two protocols CAN-LIN Bridge would be necessary.

Keywordsâ€” CAN, LIN, CAN-LIN Bridge

An approach to detect indoor outdoor scene for effective video summarization

Reenal Sanjay Sanghavi, Prof. S.A. Pangaonkar

[email protected]


ABSTRACT

Abstractâ€”With the exponential growth in digitization, the operations such as organization, browsing and

searching of digital images and videos is becoming an looming issue. Such a huge collected works of data

takes a extensive amount of time to go through all the videos with respect to the query. In various kinds of

video summarization, the classification of indoor and outdoor video is fundamental.

In my paper, I have proposed an effective approach to detect indoor/outdoor scene in a video that can

achieve better accuracy without slowing down the computation speed. The detection and classification is

based on the acoustic scenes and events in the video. The operation of database training and scene

classification are done with the information of audio signals in the video which can be obtained in two


stages 1) feature extraction and 2)classification. Experimental results show that the proposed scheme

using spectral feature extraction technique and SOM (Self Organizing Maps) classifier is capable of

classifying indoor/outdoor videos with better accuracy at a reasonable speed.

Keywordsâ€”video summarization; image classification; feature extraction; spectral features; SOM

classifier (key words)

Smart Tank

Aanchal Pande, Dr. Krishna K. Warhade

[email protected]

MIT COLLEGE OF ENGG. PUNE [38]

ABSTRACT

Water is an important natural resource

for human survival. Without freshwater of adequate

quantity and quality sustainable development will not

be possible. Water needs have risen exponentially

to an unusual scale in India during the past decade.

Urbanization, climatic changes and wasteful usage

has further depleted the resource. Ensuring access to

safe and clean water is another issue that requires

attention. This paper investigates IOT based low

cost system for real time monitoring water quality.

The system consists of several sensors immersed in

water to infer the quality of water. The parameter

considered are temperature,turbidity,pH and level

of water to be measured. The measured value is

processed by wemos d1 mini microcontroller and send

the data to raspberry pi. Finally,the sensor data can

be viewed on internet using cloud computing.

Fingerprint liveness Detection using Deep Stacking Network

Akshata Shet, Prof. Charudatta V. Kulkarni

[email protected]


ABSTRACT


Fingerprints have been most generally utilized for diverse security systems due to the high-level accuracy

and users convenience. Since fingerprints begin to be broadly used in the smartphones and tablets for

payment as well as security, high-performed algorithms have been explored in literature. At the same

time, such mobile systems are highly required to detect spoofing attacks by fabricated fingerprints with

malicious intends. In this paper, we propose a static software approach for detection of fingerprint

liveness. We combine Speeded-Up Robust Features (SURF), Histograms of Oriented Gradient (HOG)

and texture features from Gabor filter and deep stacking network as classifer of the system. As deep

learning recently adapting success in machine learning and pattern recognition area for its ability in deep

feature extraction and representations.

MODBUS Protocol Implementation for Microcontroller(cortex M3)

Devanshi N. Patel, Prof. Sunil B. Somani

[email protected]


ABSTRACT

With the evolution from the distributed

communication to centralized communication and now

need for the busfield communication has come into existence.

So the system communicating with the various

devices at one time for the data acquisition and

in various other fields like automation,is needed this

and prove to be reliable and have a fast communication

system.The paper presents the design of the system

that can implement a master-slave communication.

The communication is not restricted to the particular

network devices only.This system can have twoway

communication.Master asks for the status and in

return slave responds to the request and sends its result’s

which can control the further process of communication.

The system got Cortex controller(Cortex

M3),32-bits ARM processor,that provides speed to the

system.This system implements MODBUS protocol,an

application layer protocol for the communication between

master and slave through RS485 for communication

interface between devices.Here RTUmode of

coomunication is used in MODBUS.In this paper RTU

mode is implemented as it is faster than the ASCII

mode.


Detection of Cataract, Conjunctivitis and Stye Disease Using Histogram of

Oriented Gradient

Mrunalini Manchalwar, Krishna Warhade

[email protected]


ABSTRACT

The eye is a standout amongst the most critical tangible organs in the human body which comprise of

pupil, iris and sclera. Eye disease is a typical medical problem around the globe. Considering the most

widely recognized eye illnesses like cataract, conjunctivitis. Cataract causes a kind of blurring on the

focal point prompting to diminished vision and if kept untreated for long prompts to lasting visual

impairment. Conjunctivitis or pink eye is a condition where the conjunctiva of the eye is aggravated by an

infection or by an allergic reaction. There are different automatic cataract, conjunctivitis recognition and

order strategies accessible today. In this paper, preprocessing is done for specified eye disease images

which is followed by feature extraction and classification. The image is classified as cataract disease,

conjunctivitis disease and normal eye using minimum distance classifier.

Integration of LIDAR Data and Aerial Images for Building and Tree

Detection

Pavan Malbhage1, Dr. Suchitra Khoje

[email protected]


ABSTRACT

Building detection and tree detection are vital in numerous applications, including map updating, city

displaying, and urban development examination. By using Satellite images and LiDAR data, we can

detect building and trees. By proper processing data noise is removed and images are enhanced. Color and

texture are features are extracted from images. These extracted features are given to Support Vector

Machine (SVM) for classification. After classification these results are evaluated manually.

Obstacle Detection, Classification and Tracking using Deep Learning

Framework

Pritam S. Kore, Dr. Suchitra Khoje

[email protected]



ABSTRACT

This paper details about a framework for preceding obstacle detection, classification, and tracking.

Obstacles classifies as vehicles and pedestrians, based on a deep learning approach. The given framework

uses deep learning approach to reliably detect, classify and track on-road vehicle and pedestrian. The

system is first detects obstacle, which are appearing along the road, using Gaussian Mixture Model

method. Second, the output of an obstacle detection stage is input to classification system based on

Convolutional Neural Network (CNN) i.e. a deep learning model. Finally, the detected obstacles are

tracked by using Kalman Filter. The proposed framework we are going train by using several datasets in

various driving conditions. This framework provides better accuracy and meets real time requirements.

Cost E cient Virtual Laboratory: A teaching aid

Rajita Dak,, Dr. Suchitra Khoje

[email protected]


ABSTRACT

Recent developments in ICT paved a new

way in engineering disciplines by including the concept of

Virtual Labortory. Laboratories are essential place where

students practice and learn experiments by physically do-

ing it. Due to the invent of this new idea of Virtual lab-

oratory students can practice anytime and at anyplace,

open new horizon of the learning experience and widen

participation. In this paper we have proposed a scheme

to implement two communication modulation techniques

i.e BPSK and QPSK on System Generator using MAT-

LAB/ Simulink software. Simulated results of both the

techniques is presented in this paper.

Non invasive techniques for induction motor fault detection

Sayli A. Deshmukh, Prof. A.R.Askhedkar

[email protected]


ABSTRACT


Induction motors have applications in the field of transportation, manufacturing, mining, and

petrochemical and in almost every other fields dealing with electrical power. So, condition monitoring

and fault diagnosis become necessary to monitor the health of the machine. The present paper discusses

the fundamentals of Motor Current Signature Analysis and fault detection of the induction motor using

MCSA. The objective of the proposed system is to detect broken rotor faults and vibrations of the motor.

MCSA technique is used for the detection of broken rotor fault based on the current through the

transformer. For vibrations of the motor, ADXL 335 vibration sensor is used. For the analysis of faults,

Fast Fourier Transform is performed by using MATLAB.

Performance evaluation of Ripplet transform as texture characterization for

iris recognition

Sonali Tunga1, Dr. Suchitra Khoje

[email protected]


ABSTRACT

The iris is considered as the most reliable authentication technique as compared to the other biometrics

for authorization; since every individual possesses unique iris features although they might have similar

DNA. The proposed system uses hough transform for segmentation, Daugman’s rubber sheet model for

normalization, ripplet transform for feature extraction and finally svm for classification

SMART AUTOMATIC RATIONING FOR PUBLIC DISTRIBUTION

Surbhi A. Surkar, Prof. S.B. Somani

[email protected]


ABSTRACT

Now a day ration card is extremely vital for every home and used for various field such as family

members details, it perform as address proof for various purposes etc. All the people uses a ration card to

obtain the various materials (sugar, rice, oil, kerosene, etc) from the ration shops. The present ration

distribution framework has downsides like wrong amount of products, low processing speed, and large

wait in time, material theft in ration shop. The proposed framework replaces the manual work in ration

shop. The principle goal of the planned framework is the robotization of ration shop to give

straightforwardness. The proposed automatic ration shop for public distribution framework is based on

Smart Card innovation that replaces ordinary ration cards. Aadhar cards are used instead of conventional

ration cards where each user is provided with unique barcode. Smart card based automatic ration shop is


novel approach in public distribution framework (PDS) valuable for more productive, precise, and

automated strategy of ration conveyance. Open dissemination framework additionally called rationing

distribution framework is one of the generally disputable issues that include malpractices.

Design and Development of Web server for Industrial Air Pollutants

Santosh G. Bhandarakawathe, Prof. S. B. Somani

[email protected]


ABSTRACT

For last few years, challenges of monitoring

and control of distant environmental parameters

accurately has emerged as new field of research. The

concept of Internet of Things (IOT) is also emerging

very fast where everything around us comes with an

internet connectivity for monitoring and control.

Monitoring the environmental parameters and

initiating a control action from internet is also part of

this concept. In our proposed work, we design an

environment monitoring system, capable of monitoring

and control of environmental parameters like

temperature, CO, NO2, SO2, PM2.5 &10. Also, we

focus on design of a low cost system that is capable of

not only remotely monitoring the environment variables

like temperature and industrial pollutants but also

initiates some control action like switching devices

ON/OFF from the internet. This system uses Wireless

sensor Networks for sensing the environment

parameters in the area under supervision. Sensors Node

has been designed to measure the temperature, CO,

SO2, NO2, PM2.5&10. The Control node has been

designed to initiate the control action. The Central

Monitoring is based on ARM11 raspberry pi board.

IoT enabled Environmental Monitoring & Flood Prediction

Swapnil Bande, Prof. Dr. V. V. Shete

[email protected]



ABSTRACT

Floods are natural disasters that cause huge devastation of natural life, property and infrastructure every

year.Flooding is influenced by various hydrological & meteorological factors. Researches in direction of

flood prediction have shifted from mathematical models or hydrological models to algorithmic based

approaches. IoT is an emerging field that is a combination of embedded system hardware and wireless

communication network which further transfers sensed data to computing device for analysis in real-time.

ANN has been proven to be best for non-linear time-series prediction. So in this paper, we present an IoT

enabled flood monitoring and ANN based flood prediction integrated approach with the aim of enhancing

the reliability and making it scalable.

SECURITY SYSTEM BASED ON VOICE AUTHENTICATION

Rohit Waykole, Prof. C. V. Kulkarni

[email protected]


ABSTRACT

Biometrics is a physical characteristic unique to each individual & more popular to identify people and

authenticate them for access to secure areas and systems. This paper presents the security systems based

on the voice biometrics. It describes the methods and algorithms used in the existing systems. The paper

contains the architecture of the system, its functionality and method used to verify the speaker also the

performance optimization methods of the implementation. Accuracy and the speed are two of the biggest

factors taken into consideration while implementing the algorithms, so this paper summarizes the current

efforts to overcome these problems and provide better accuracy and speed.

Upgradation Of Data Acquisition System At Engine Test Cell

Sailee Pawar, Prof. Dr. V. V. Shete

[email protected]


ABSTRACT

In this study it is intended to design and implement a data acquisition system for the testing of a diesel

engine at Cummins India Ltd. In this regard, required data acquisition software and hardware, personal

computer, instrumentation components including sensors, thermocouples and related elements are

selected, procured and installed to the test center. Voltage readings are made through information


obtaining equipment and those are changed over to designing units and remedied to standard qualities

(weights, temperatures, speeds, and so on) by software application to calculate Diesel engine performance

parameters. Compared to manual testing, manual recording and manual calculations in old system, new

data acquisition system provided significant reduction in test times (more than 50%) and similar

reductions in fuel and labour costs are obtained. Improved test reliability, repeatability and more

consistency between engines are also achieved.

Data are also checked for the range of acceptable limits to trigger necessary alarm messages or sounds

where applicable. Test data are stored and archived for future analysis.The proposed system is intended to

set up a low cost, fast and configurable data acquisition system consisting of sensors, Data acquisition

hardware and software package for acquisition and processing. The sensors are used to measure Dyno

torque, different types of temperature (oil, inlet and outlet water temperature), crank angle and engines

RPM. The processing includes test cycles to prepare the acquired data for analysis. This system gives

improved methods of collecting, recording, and reducing test data for increased test cell utilization in an

engine test cell. This system provides better data, faster, and

at a lower cost.

Wireless water flow measurment

Pragya Jain, Prof. Dr. V.V. Shete

[email protected]


ABSTRACT

Water auditing is an emerging method of increasing accountability for water utility systems. Auditing

simply means keeping the record of how much you have and how much you have used out of it. Our

system will able to keep record of how much amount of water has been used from the tank and also it is

able to show the time. At what time how much Quantity of water has been used by the other tank which is

a household tank in our system we consider. The data can be viewed remotely with the help of iot using

the cloud platform. We does not have to present physically near the whole setup .It is an application of

IoT.

Internet Of Things (Iot) Based Monitoring Of The Pharmacy Store

Trupti Kapse, Mrs. S.M. Kulkarni

[email protected]


ABSTRACT


For as far back as a long time since its appearance, Internet of Things (IoT) advancement has been driving

the planet towards a splendid world where all contraptions and physical things, alluded to as things, will

be associated by means of electronic sensors through the Internet. The transport of solution to patients at a

drug store in particular regions is still greatly standard and out of date. Patients sit tight for quite a while

in lines to get their pharmaceuticals; this is generally a result of the nonappearance of a compelling

apportionment system. Also, the refrigeration temperature inside a few drug stores is an enormous issue,

as prescriptions must be kept at a reliable temperature for perfect results. In this we propose an essential

and strong approach to manage to regulate a drug store, the technique relies on upon electronic sensors

related with Raspberry Pi, to play out a pharmaceutical interest and moreover to control the refrigeration

temperature inside drug store racks. The execution cost of such structures is fundamentally more

affordable than programming based framework; this makes such systems fitting for underprivileged

zones. This system was created and worked for a drug store however it can be summed up for various

purposes.

INDUSTRIAL WASTE WATER ONLINE MONITORING SYSTEM

Mangesh Mundhe, Prof. S.B.Somani

[email protected]


ABSTRACT

The significance of mechanical waste water screening is undoubted in this age. Industrial squander water

checking is basic to knowing whether the nature of our water is improving or more awful. Data

accumulated through mechanical waste water checking is imperative to a wide range of leaders. So it is

important to build up a framework that screens the mechanical waste water conditions.

Mechanical waste water checking is an arrangement of gadgets gathers information continuously and

exchanges it through a Remote Sensor Organize (WSN) to the specific organization site or ecological

division for investigation. Framework by and large joins inserted framework equipment strategies that are

valuable for web based observing modern waste water and send this data to organization site.

Detection of breast cancer at an early stage using local binary pattern

Abhijeet Sansare, Prof. S.R. Kinge

[email protected]


ABSTRACT

This paper presents the computer aided detection

system for breast cancer using Local Binary pattern for feature


extraction and support vector machine for further classification.

The mammograms obtained from MIAS, are used for this

research. The MIAS database consist of 322Detection of breast

cancer at an early stage is an effective way to cure it.

Dynamic Time Warping for Music Conducting Gestures Evaluation

Snehal Kshirsagar, Prof. Mrunal Annadate

[email protected]


ABSTRACT

Musical performer depends upon physical sign its necessary musical conductor. Conductor is art of

musical performance. Its main used to make sure right entry for multiple shape performed by different

member. In musical school teaching music by sign perform by basic. In proposed system, we implement

automatic recognized of hand gesture with different musical metric. Musical metric or sign performed by

hand and it detect to RGB-D camera for capturing system. We implemented dynamic Time Warping

algorithm for pattern recognized. The DTW Framework are converted into different pattern Duple, Triple

and quad triple. Experimental results specify

that the classification system represents development over

other existing related approaches.

Design and Development of Electric Wheelchair for differently abled person

Ankit Kumar Mishra, Prof. (Dr.) K. K. Warhade

[email protected]


ABSTRACT

In this paper, development of Electric wheelchair for helping the people who are physically handicapped

has been proposed, a person who cannot feel or move his or her legs can easily use the electric wheelchair

using joystick or by some other ways but there are people who suffer from several sicknesses or diseases

and they can not use the wheelchair using ways of interacting like joystick, such people can only drive the

wheelchair using eye blinking, brain signals or some other communication and providing complete and

total control to such wheelchair is main work to do, setup of these wheelchair is discussed in this

proposed system. Using different useful things to build cost efficient system, showing how sensors and

drivers are being communicated with the Microcontroller and their complete and total working to drive

the wheelchair according to the signal or inputs either from joystick interacting or some other

communication. Obstacle avoidance, Heart beat monitoring, temperature and humidity sensing is added to


the wheelchair to provide the patient better way of living and to manage the risk of getting any medical

illness, the wheelchair can also be traced by using Global Positioning System.

Segmentation of Coloured images

Rohan Taksande, Prof. S.R. Kinge

[email protected]


ABSTRACT

Image segmentation is a challenging task for the computer perception and their application which divide

the image into consequential regions. Obtaining the consequential region and applying the successive

processing(e.g., scene understanding) is a tough job.

In this paper, the proposed system uses different types of algorithm for the colour image segmentation.

The segmentation methods proposed is based on watershed segmentation, region adjacency graph(RAG),

region k-means.

Interpreting BCI signals for wheelchair maneuverability

Pallavi Kohli, Prof. (Dr.) K. K. Warhade

[email protected]


ABSTRACT

Brain Computer Interface(BCI) provides an opportunity that allows us to convey the thoughts of the brain

without actual communication. BCI is of great advantage for people who suffer from degenerative

disorders. Some of its examples are paralysis, Alzheimers or Parkinson’s disease. In these diseases, the

patient loses his memory and communication ability in the later stages of the disease. BCI is of great help

for such people whose life has become dependent on their family members and friends. This technology

allows them to become independent by providing them an alternative means of communication.

IOT BASED SMART E-CARE SYSTEM

Jaimini Shah, Prof. S. R. Danve

[email protected]



ABSTRACT

Devotion towards own body is one of the important factor considered in this era. The equipment’s which

provide results at run time and also accuracy maintained are provided by the electronic engineers .To

detect the relative electrocardiogram (ECG) signal of the user, a multi-thread method is proposed with the

objective of enhancing the accuracy and the response time of detection With the help of new technology

of Raspberry Pi, E-care system . In this type of technology same area network is shared by multiple users

which help in monitoring. Wireless communication is done through Wi-Fi which provides flexibility and

extendibility. In this paper the ECG signal is used for the detection of the normal and abnormal RR-

interval signals. It’s an efficient system to detect the patient’s heart activity using ECG sensor. ECG

signal classification done by EMB (empirical mode decomposition) method for accurate ECG signal

using MATLAB for accuracy.

Solar inverter with grid power generation

Wanje Govind Marotrao, Prof R. Y. Mali

[email protected]


ABSTRACT

Power demand of any country depends on the Eco friendly plant which can generate huge amount of

Power. Power generation using photovoltaic design is very important in terms of power generation with

huge amount from KWs to MWs and help to great extent increasing the installed capacity and help

electric utility companies in meeting increasing load demand along with minimizing the distribution

losses. The proposed sun powered vitality transformation unit comprises of a sun oriented exhibit,

Bidirectional DC-DC converter, single stage inverter and AC. As we know the main work of inverter is to

invert the DC voltage of solar cell into AC voltage. The photovoltaic sun powered vitality (PV) is the

most direct approach to change over sunlight based radiation into power and depends on the photovoltaic

impact. This Paper Presents the New Design; Development and Performance Analysis of a Grid

Connected PV Inverter. Demonstrate that the proposed framework can lessen the Energy Consumption

radically from the power board and give a solid support to the Grid.

ABNORMALITY EXTRACTION USING STATISTICAL HYPOTHESIS

DETECTOR IN CROWD

Payal Purushottam Likhar, Prof. P. P. Gundewar

[email protected]



ABSTRACT

Abnormal activity detection is complex method. For man force finding abnormality is risky and

difficult work. Many existing techniques are used to detect abnormality in crowd but not work properly .

To address these problems, in this paper, a various techniques are used. Super Vector Machine(SVM) for

simplification, wavelet transform for feature extraction. VIDEO surveillance equipment has been used

for security purpose.

Power Efficient System For Smart Campus

Snehal Dixit, Prof. S. M. Kulkarni

[email protected]


ABSTRACT

Today is a new era of computing technology

i.e. Internet of Things (IoT). IOT can be

termed as a Ã¢oeuniversal global neural networkÃ¢ in the

cloud which connects various things. Internet is a revolutionary

invention, it has always been transforming

itself into some or other new kind of hardware

and software which makes it irresistible for anyone.

Nowadays the communication is in the form of humanhuman

or human-device. But the future of internet i.e.

IoT promises a machine-machine type of communication.

The IoT is a system comprising various devices

or systems which are intelligently connected which interacts

and communicates with other machines, environments,

objects and infrastructures. With the areas

like business, transportation, medicine, energy, agriculture

and others, the Internet of Things also finds a

major implication in education. A university campus

can be considered as the ideal place for the creation of a

smart environment. The aim of the hereby paper is to

describe a new concept called Smart University by providing

a comprehensive overview of the IoT scenario

and reviews its enabling technologies and the sensor

networks.


Three Dimensional Surround View system

Shashikant Chavan, Dr. V. V. Shete

[email protected]


ABSTRACT

The evolving automotive ADAS (Advanced Driver Assistance System ) technology is consist of

automotive surround view camera system on vehicle . The automotive surround view camera system

assists the driver during drive the vehicle. The system is providing 360 0 view around the vehicle by

using four (fish eye lens) cameras attached around the vehicle, each covering a different direction .The

camera calibration method use to produce inverse prospective mapping of undistorted images onto 3D

bowl model, stitched those images on bowl geometry ,and then rendered those images as third person

point of view selected by the driver. This system is use to remove blind spot problem during the drive the

vehicle. The system runs real time on DSP C66x producing surround view around vehicle.

Personal Security System

Sujata Punait, Prof. A.R. Askhedkar

[email protected]


ABSTRACT

â€”In current era, official statistics depicts that

there has been a dramatic increase in the number of

reported crimes against women. Especially, molestation

and kidnapping cases are on rise and apart from this many

cases are not even reported to the police. No girl feels safe

while stepping out from their house alone. This arises the

urgent need to have solutions to this problem, many

solutions in form of different security devices are available

in the market. But all have certain drawbacks, which

makes the security device useless as when user is unable to

trigger the device, device gets broken/lost , internet is not

available .This paper, recommends another point of view

to utilize innovation to ensure ladies safety. This presents a

personal security system that overcomes the drawback of

already available solution in the market.


Overlapped fingerprint separation for fingerprint authentication

Neha, Prof. P. P. Gundewar

[email protected]


ABSTRACT

Fingerprints are considered to be the best and fastest method for biometric identification. They are secure

to use, unique for every person and do not change in one’s lifetime. Human fingerprints are rich in details

called minutiae, which can be used as identification marks for security purposes. This paper is a study and

implementation of a fingerprint recognition using image processing tool in Matlab. The approach mainly

involves extraction of minutiae points from sample fingerprint images and then performing matching

based on the number of minutiae pairing among two fingerprints in question. For each task, some

classical and up-to-date methods in literatures are analyzed. Based on the analysis, an integrated solution

for fingerprint recognition is developed for demonstration. It finally generates a percentage score which

tells whether two fingerprints match or not.[1]

Automatic head light controlling using CAN and LIN network.

Kalyani R. Gaikwad, Prof. R. Y. Mali

[email protected]


ABSTRACT

Sensor networks are dense wireless networks of small, low-cost sensors, which collect and

disseminateenvironmental data. Wireless sensor networks facilitate monitoring and controlling of

physical environmentsfrom remote locations with better accuracy.A sensor network is an infrastructure

comprised of sensing (measuring), computing, and communication elements that gives an administrator

the ability to instrument, observe, and react to events and phenomena in a specified environment. CAN is

a multi-master serial bus standard for connecting Electronic Control Units [ECUs] also known as nodes.

Two or more nodes are required on the CAN network to communicate. The complexity of the node can

range from a simple I/O device up to an embedded computer with a CAN interface and sophisticated

software. The node may also be a gateway allowing a standard computer to communicate over a USB or

Ethernet port to the devices on a CAN network.

All nodes are connected to each other through a two wire bus. The wires are 120 Î© nominal twisted pair.

CAN data transmission uses a lossless bitwise arbitration method of contention resolution. This

arbitration method requires all nodes on the CAN network to be synchronized to sample every bit on the

CAN network at the same time. This is why some call CAN synchronous. Unfortunately the term

synchronous is imprecise since the data is transmitted without a clock signal in an asynchronous format.

The CAN specifications use the terms "dominant" bits and "recessive" bits where dominant is a logical 0

(actively driven to a voltage by the transmitter) and recessive is a logical 1 (passively returned to a

voltage by a resistor). The idle state is represented by the recessive level (Logical 1). If one node


transmits a dominant bit and another node transmits a recessive bit then there is a collision and the

dominant bit "wins". This means there is no delay to the higher-priority message, and the node

transmitting the lower priority message automatically attempts to re-transmit six bit clocks after the end

of the dominant message. This makes CAN very suitable as a real time prioritized communications

system.

Design and Implementation of Truncated Multiplier technique for DSP

Vandana Rathi, Dr. D.G. Khairnar

[email protected]

MIT PUNE [002]

ABSTRACT

The interest for electronic compact gadgets is increasing more consideration in late decades. Versatile

devices are requesting for low power and area. Multiplier is the basic piece of any math operation in

numerous DSP applications. So it is basic to plan multipliers that use less power and give rapid operation.

We require both sources of info and yields to have a similar bit width. A fixed width

multiplier can be acquired by truncating the least significant results of the multiplier. One primary

part of low power configuration is to limit changing activities to decrease dynamic power. So the

proposed bypassing will diminish Dynamic power and area dissipation. So Column bypass multiplier

is used in proposed methodology which is used for significant reduction in power and area. The

switching action ought not happen pointlessly and it ought to be kept away from by bypassing. These

elements make the proposed outline more reasonable for DSP applications like sifting, filtering. The

proposed work is depicted utilizing VERILOG Hardware Descriptive Language and executed

utilizing XILINX ISE 14.1 instrument.

WSN based Automatic Attendance Monitoring System

Aditya .D. Jogiji, Mr P M Ghate

[email protected]

MIT PUNE [002]

ABSTRACT

A sensor interface device is essential for sensor data collection of industrial wireless sensornetworks

(WSN) in IoT environments. However, the current connect number, sampling rate, andsignal types of

sensors are generally restricted by the device. Meanwhile, in the Internet ofThings (IoT) environment,

each sensor connected to the device is required to write complicatedand cumbersome data collection

program code. Attendance is one of the important factors thatdetermine the students rendering. An

effective information system needs to support a set ofactivities, which enable human beings to achieve


effectively the objectives of the organization,supported by computer-based information(CBI)

technology. Traditional styles of attendancemanagement include hand-written signatures,

magnetic card etc. Apart from traditionalattendance systems or paper based attendance system,

there is a necessity to build a smart systemthat decrease load in managing the attendance and

improves the performance of colleges,universities and any educational institute. The most common

actions in educational organizationsinvolve identification of student, maintenance of student attendance,

security of attendance andelectrical power conservation at the place where the attendance is taken.

In this report, thementioned topics are covered and it represents how evolving technologies of radio

frequencyidentification (RFID) and wireless sensor network (WSN) can be used for building a

smartuniversity. Prototype is developed considering main concerns of a smart university. The

systemprovides effectiveness and efficiency in administering and managing the attendance

procedure,hence improving productivity and staff developmen

Design of PCT insensitive low power SRAM cell

Handge Somali R, Khule R S

[email protected]

MIT PUNE [002]

ABSTRACT

Abstract- 6T SRAM has high read current disturbance, 8T SRAM has leakage in read

path, 9T SRAM increases read access time. 10T differential Schmitt trigger SRAM cell

suffered from read write conflict and it is vulnerable to noise. Write assist circuits, boosted

supply, gated feedback write assist, cross point data aware are the techniques of power

optimization. Single ended topologies reduce the leakage and half of the active switching

power and saves chip area. This paper presents the review of 6T, 7T, 8T, 9T and 10T

SRAM cell and presents process, voltage and temperature variation (PVT) insensitive low

power cell using single ended Schmitt trigger for high stability.

A smart Reader for Blind People

Vaibhav Vijay Govekar, Prof. A. Meenakshi

[email protected]

MIT PUNE [002]

ABSTRACT

This work proposes the novel implementation of smart book reader with raspberry MATLAB. In olden

days more no of people are suffered with visually impaired. In particular, there is a need for a text reader

that is affordable and readily available to the blind community. Inclusion of the specially enabled in the


IT revolution is both a social obligation as well as a computational challenge in the rapidly advancing

digital world today. This work proposes a smart reader for visually challenged people using MATLAB.

This work addresses the integration of a complete Text Read-out system designed for the visually

challenged. The system consists of a webcam interfaced with computer which accepts a page of printed

text. The proposed system is simulated under MATLAB software. In this MATLAB with the help of

image processing toolbox OCR (Optical Character Recognition) is performed with text to speech

algorithm. A sample image converted with each pixel by pixel and pixels are converted with binary

â€œ0â€� and â€œ1â€� conversion, segmentation and labeling, Synthesizer, the sample image text

document converted into speech which is heard by headset or speakers.

The audio output is obtained after the captured image is converted to text. The image captured by the

camera is converted to text and displayed in the form window and then the text is obtained as audio

output. Computer has the audio port where the output can be heard through the headphone or the speaker.

Once the image is converted to text MATLAB takes few milli seconds to convert it as a voice output. The

proposed system is under validated with both simulation and experimental verification it achieves the text

document is converted with speech for the use of visually impaired people.

NEW METHODOLOGIES FOR VEHICLE ELECTRICAL SYSTEM

MODEL SIMULATION

Mahesh Shrikant Dhavale, Prof.M.U.Inamdar

[email protected]

MIT PUNE [002]

ABSTRACT

Stringent emission norms being enforced in near future and a steep increase in the fuel prices, have

resulted in an increasing effort to optimize the fuel consumption and reduce greenhous gas emissions in

vehicles with conventional Internal Combustion Engines. A reduction in fuel consumption, will always

result in a reduction in toxic gas emissions. Micro and Mild Hybrid Systems, are the primary options to

achieve the required target of reduction in fuel consumption. Micro and Mild Hybrid systems include

functions like Engine Stop/Start, Intelligent Alternator Control, and Load Management, in which the

engine output is optimized and wasteful running of the engine is prevented to improve the fuel efficiency.

Intelligent Alternator Control is a function under Micro Hybrid Systems, in which the electrical energy

generation, storage, and distribution is optimized, with the functions like battery SOC control, energy

recuperation, and passive torque boost. The Alternator is controlled by a Electronic Control Unit, which

sets the output voltage of the Altrnator, based on the control algorithm decisions.

Development of such system functions is a complicated project. Particularly, the validation activities

demand lot of effort and investment, due to time involved, specific test conditions, and specialized

resources required. In such a scenario, Simulation of the vehicle performance promises to be a primary

solution, as the approach helps in advancing the assessment, and even without the need for the

implementation on a vehicle and physical tests on the same. Varius commercial tools are available for


simulating the vehicle performance, and some tools even offer turnkey solutions. However, development

of a custom simulation model is preferred, in order to address the special features of Micro Hybrid

System Functions.

In this project, an attempt is made to develop a physical system simulation model, VESSiM, in the

physical modeling toolbox of SimscapeÂ®. Simulation model is targetted at simulating the performance

of vehicle’s electrical system and estimating the fuel consumption of vehicle. Modeling scopes covers the

physical modeling the of the vehicle under its longitudinal dynamics (including the entire power train

modeling and accessory drives of the engine), complete electrical system, and associated control system

and its tunning.

The project follows the systems engineering approach for the development, and starts from the

requirement analysis, and closes with the validation of the model. Although the model would be designed

to have the flexibility to simulate different vehicle platforms with different specifications, scope for this

submission is limited to configuring it for one vehicle platform, and validating the performance, on one

specified drive cycle, for the simulation of Battery Charge Balance only. Micro Hybrid Functions are kept

out of scope from this academic submission due to confidential information and time contraints as well.

Parameter identification will be limited to requirements in the respective Simscape blocks. Comparison of

the results of simulation with the actual vehicle performance will be carried out with the availabe test

data, and there would be no scope for any physical tests being carried out to validate the model.

Key Words: Modeling, Simulation, Simscape, Simulink, Fuel Consumption, Emission Control,

Automotive Electrical System, Vehicle Performance, and Advanced Product Quality Planning

Fingerprint liveness Detection using Deep Stacking Network

Akshata Shet, Prof. Charudatta V. Kulkarni

[email protected]

MIT PUNE [002]

ABSTRACT

Abstract-Fingerprints have been most generally utilized for diverse security systems due to the high-level

accuracy and users convenience. Since fingerprints begin to be broadly used in the smartphones and

tablets for payment as well as security, high-performed algorithms have been explored in literature. At the

same time, such mobile systems are highly required to detect spoofing attacks by fabricated fingerprints

with malicious intends. In this paper, we propose a static software approach for detection of fingerprint

liveness. We combine Speeded-Up Robust Features (SURF), Histograms of Oriented Gradient (HOG)

and texture features from Gabor filter and deep stacking network as classifer of the system. As deep

learning recently adapting success in machine learning and pattern recognition area for its ability in deep

feature extraction and representations.


VERILOG NETLIST OPTIMIZATION FOR CMOS & ROUTE IN

MICROWIND

Mahesh Jaiswal, Prof. V. S. Bendre

[email protected]

PIMPRY CHINCHWAD COE, PUNE [033]

ABSTRACT

Microwind is a software tool which is used for CMOS IC layout design. The gate level design is created

in schematic editor and simulator tool DSCH. The transistor size in the last few decades is shrinking

drastically with the rapid advancement of VLSI technology to integrate more number of transistors on a

single IC chip. This will indirectly affect the complexity in the placement and routing of the logic devices.

And for any tool it is always a challenging task to make an efficient placement and routing of the cells.

One of the EDA tool for CMOS design is MICROWIND, which uses a verilog net list generated by a

schematic editor DSCH. This paper focuses on improvement in Microwind tool by implementing a logic

optimization method for rearranging verilog net list according to interconnect wire nodes and number of

logic cells like CMOS inverter, AND, OR etc. gates using MOS at 120nm technology and using FINFETs

at 14nm technology. Our algorithm will rearrange net list and cells without reducing the actual transistors

count. Therefore only the total numbers of metal layers, area of chip and interconnect delay etc. will get

reduced to produce an optimum design.

Model Based Embedded Control System Design for Smart Home

Neelam Agarwal, Prof Varsha S. Bendre

[email protected]


ABSTRACT

The notion of a smart home with integrated sensors, actuators, wireless network and a graphical user

interface is very enticing. The proposed system presents the design and implementation of reliable,

flexible, secure and economical sensor network for transforming traditional home into a smart home. The

heterogeneous sensor and actuator nodes based on wireless networking technologies are deployed in the

home environment. Hardware proposed, is going to control all home appliances in home along with

exchange of data for energy and performance Analysis. All devices are connected through wireless

protocols, to provide seamless data transfer between control module and appliances. Complete home

environment and control system modeled in Matlab Simulink before implementation, model based control

approach is the key to develop this application, and control model will be embedded in the

microcontroller board to realize the actual application. With system model and control model, will be able

to perform model in loop, software in loop, hardware in loop testing. On successful testing, the actual

implementation will be demonstrated with wireless network, actual loads and central processing control

unit which control the home environment, using Model Based Control Design.


Automatic compact metal routing algorithm in MICROWIND

Pratik Kulkarni, Prof. Deepti Khurge

[email protected]


ABSTRACT

Trend of CMOS technology improvement continues to be driven by the need to integrate more functions

within a given silicon area. Today’s miniaturisation of devices and many of foundries are fabricating the

IC’s in 20nm and 14nm technology like INTEL, TSMC. 20nm and 14nm is a drastic shrinking in silicon

size called deep submicron technology (DSM) which are driving most of the today’s products like mobile

phones, laptops. With the introduction of DSM technologies there is a huge impact on routing because of

increased numbers of transistor and eventually space of routing. There are various CMOS design tools

which can convert a design into a layout and efficient routing. One of such program is MICROWIND

which has inbuilt placement and routing tool and algorithms to place and interconnect transistors using

various metal layers in DSM technologies. To increase the performance for such routing, higher number

of metal layers can be used in physical design layout and such features should be introduced in a EDA

tool in accordance with technology rules. This paper focuses on optimizing routing algorithm used by

MICROWIND to efficiently perform routing, reducing load on routing space. By using this feature we

can reduce the delays, interconnect length, routing pitch and area on chip.

Modeling and Implementation of 10-GHz FMCW Radar Height

Measurement Device (30m Range)

Poonam Gawande, Prof. G. R. Rahate

[email protected]


ABSTRACT

The demand for high accuracy radar systems is continuously growing, especially in automation industry.

In general, a radar system uses modulated waveforms and directive antennas to transmit electromagnetic

energy to search for targets. Objects (targets) will reflects portions of this energy (radar returns or echoes)

back to the radar. These echoes are then processed by the radar receiver to extract target information such

as range, velocity, angular position, and other target identifying characteristics. Early radar development

was driven by military necessity. Radar now enjoys an increasing range of applications. Most of radar can

be classified as detection, tracking, or imaging. Radar is better choice than camera or an accelerometer

because it does not need complex algorithm or moving parts.

FM-CW radarÂ (Frequency-ModulatedÂ ContinuousÂ Wave radar =Â FM-CW radar) is a special type

radar (CW-Radar). FMCW radar is simple in design, small in size and weight and uses low transmitting


power. In FMCW the transmission signal is modulated in frequency (or in phase). Simple continuous

wave radar devices without frequency modulation have the disadvantage that it cannot determine target

range because it lacks the timing mark necessary to allow the system to time accurately the transmit and

receive cycle and to convert this into range. In this project we have done Modeling and Implementation of

10-GHz FMCW Height Measurement Device in MATLAB Simulink, find different parameters such as

distance between the target and antenna (Range), SNR, noise figure, output power, noise power, beat

frequency, bandwidth, Doppler frequency etc. operating at 10 GHz. We have also done high speed ADC

interfacing and signal processing on received signal called as beat frequency to estimate range.

The Automatic Blower Logic For Trapped Occupant Inside Vehicle Cabinet

Shirish Kalbhor, Prof. Varsha K. Harpale

[email protected]


ABSTRACT

Considering the accidents due to suffocation of trapped occupant inside the vehicle cabinet, no such

system is develop which can detect the trapped occupant inside the vehicle and hence in some cases

results to occupant death. Therefore the system needs to design which can detect the occupant inside the

cabin irrespective of vehicle condition. There are various methods are design and developed by different

authors for various security and safety features. The selection of camera module and the supporting

sensor, the algorithm used for detection and classification of living and non living things, the position of

the camera and supplementary sensors inside the vehicle cabin these were the key challenges for

designing the system. The designed system is able to detect occupant inside the cabin and take preventive

action to avoid the suffocation of the trapped occupant.

Touch Screen Based User Interface

Nikita Ranadive, Prof A.R. Suryawanshi

[email protected]


ABSTRACT

The touch screens technology based UI (User Interface) are the best. The UI interfaces user with the

machine. When user gives command the operation is selected and the machine gives response by turning

the LED on for the given selection and the operation is started. UI gives complete control of the machine

to user. UI should be easy to understand and less response time. Different types of touch screen

technology are studied and compared. User interface of different types are compared. Working of a

refrigerator is studied. UI for a refrigerator is developed. Hardware is designed and software is


implemented to perform operation like increasing/decreasing temperature of refrigerator. UI is developed

for a refrigerator so that the user does not have to open the refrigerator for getting ice/water, increasing

the temperature, to lock the UI and other.

Digital Signal Processing of FMCW Radar for 30m Range Estimation

Priyanka Bhise, Dr. N.B.Chopade

[email protected]


ABSTRACT

Frequency Modulated Continuous Wave (FMCW) radar system are gaining importance in many fields as

they measure objects and acquires information by changing the transmitting signal frequency along with

the time and by measuring the receiving signal's frequency with respect to the transmitting signals. So, a

practical FMCW radar signal processing method mainly used for eliminating noise interference from the

sampled signal, checking out the objective signal, and extracting the data as the processing results is

needed. FMCW radar is simple in design, small in size and weight and uses low transmitting power. This

project mainly includes the digital signal processing that is to be performed on the signals obtained during

range estimation of the FMCW radar which is obtained after modelling and simulation. Further a digital

signal processing using FFT algorithm will be done for extracting and isolating targets in the return signal

of FMCW radar.

Dispenses of Multiple Beverages and Soft Drinks

Asmita Bodhale, Prof. J. S. Kulkarni

[email protected]


ABSTRACT

The scope of this paper is to design entire control of Beverage Machine. This machine is able to dispense

natural water, cool water, cold water, hot water and aerated water. Also capable to produce many

beverages like juice and soft drinks using capsules. Dispenser machine operates with customer

interaction. Whenever customers press the main dispenser button and option key to select natural water,

cool water, cold water, hot water or other beverages like juice and soft drinks through UI like pantry

Control. For dispenses, the beverages done after capsule identification with barcode, mounted on

beverage capsule. The user interface board will contain the illuminated display, microcontroller and

drivers to drive the display. Theory of operation is the user will interact through commands. The

command will be interpreted and sent to the microcontroller at the appliance control unit (ACU) for

processing. The user interface should handle the entire user interaction. The user interface will interpret


the commands and determine what beverage dispense mode, temperature and time length for a mode then

send it to the appliance manager (appliance control unit) to perform operation like handling of water

filling and dispensing also beverage preparation and dispensing in the system.

Automatic Demographic Feature Estimation For Face Image Using Boosting

Algorithm.

Akshaya Pisal, Dr.K.S.Kinage

[email protected]


ABSTRACT

In the digital revolution identifying the attributes of human population has become necessity for social

economic benefit distribution, security and surveillance. Age estimation is one of the interesting and

challenging research problem from last several years. Estimation of Age is defined as determine

particular person age or age group from given face image. Feature extraction is most important focusing

area, were pixel level feature, global feature ,local feature are extracted from face image. Feature

extraction converts pixel data into a higher-level representation of shape, motion, color, texture, and

spatial configuration of the face or its components. The extracted representation is used for subsequent

age group categorization.Person’s age is determine based on biometric features. We first perform Pre-

processing using HSV Color space model and Gaussian filter from given face image then Boosting

algorithm are used to extract Biologically Inspired features(BIF).Boosting algorithm developed with

Hierarchical MAX (HMAX) method. Then compared our feature extraction approach with standard

HMAX algorithm for better classification. The experimental result shows that our proposed feature

extraction method extract more feature and increase response time compared to standard HMAX method.

Finally Feed Forward Algorithm are used for Classification and better age estimation. Image databases

required is MORPH II (75K images) FG-NET(1K images),PCSO(100K images).

MODEL BASED DESIGN AND TESTING APPROACH FOR HOME

APPLIANCE SOFTWARE DEVELOPMENT

Pranoti Joshi, Dr.N.B.Chopade

[email protected]


ABSTRACT

Increasing demand in high quality consumer products with high safety requirements and reduced time-to-

market are the challenges faced during the development of these products. Many of the consumer


products incorporate multi-disciplinary (electrical, mechanical, electronic) systems as a part of hardware

along with complex software that controls the hardware. Late integration of these multi-disciplinary

systems in the development cycle followed by the software verification and validation may lead to

expensive redesigns and delayed time-to-market. Model based design (MBD) approach can be used to

overcome these challenges. Plant/system modeling is the crucial part of model based design as the entire

product development process depends on the fidelity and robustness of the plant model. The main focus

of the work will be to formulate and implement a dynamic system model of dishwasher for automated

Hardware-in-loop verification and validation of the embedded software.

Digital Timing Path Analyzer for DSCH Program

Vishal Khulape, Dr. Vijay N. Patil

[email protected]


ABSTRACT

Timing, is the most important factor from all field and analysis of timing measurement is also essential

before actual implementation. In Deep Sub Micron (DSM) era miniaturization of transistor size comprises

in increasing the complexity of digital circuit design. As we know that in VLSI domain there is always

trade-off among power, area, speed and cost but the performance of a design depends on the execution

speed of the designed circuit. The trade-off between power, area can be compromised but no compromise

in timing. So successful development of ASIC depends on accurate modeling of its operation. Designing

a circuit to be logically correct is simple whereas producing an accurate timing model is critical. IC’s are

computer representation of the physical device so the designer’s role is to design models characteristics

with precise accuracy as actual silicon behaves. CAD tools are designed to offer an automation of

process, as the designer is still a human being who controls how the tool will perform. Therefore CAD

tools are also susceptible to GIGO: Garbage In Garbage Out, Phenomenon. Timing analysis is an integral

part of ASIC design flow. As there are number of EDA tools that supports timing analysis. DSCH is a

subpart of microwind chip design EDA tool, specialized in schematic digital circuit design that also

supports timing analysis. This paper describes the theory of static timing analysis (STA) and its design

and implementation in DSCH tool.

Implementation of robust video stabilization algorithm on DSP processor

Dipali Umrikar, Prof. S. L. Tade

[email protected]


ABSTRACT


Videos recorded by handheld or moving cameras are always suffer from video instability due to

vibrations and unintentional camera shake caused by road bumps or wind blow. Such weakness causes

visual unpleasantness and interference for subsequent experiments. Video stabilization is the process to

remove unwanted shakes and jitters to give a visually pleasant video. This paper presents the digital video

stabilization algorithm to satisfy the need to remove unwanted jitters, shakes and create stable video based

on Block based method. Motion Estimation and Motion Compensation are the two major steps for Video

Stabilization. In the entire motion based video stabilization process Motion Estimation is the most

computationally expensive and time consuming process. The camera Motion derived visually by tracking

features such as corners in the video feed and fitting them to an affine model. In this paper, we present a

video stabilization algorithm using Block based method to rotational translational and camera motions.

Motion Estimation estimates the motion between frames and Motion Compensation warps the current

frame using the filtered global transformation information and generates the stabilized video sequence.

This algorithm works efficiently and good performance obtained experimentally.

Implementation of epileptic seizures prediction using hybrid model of mRMR

and genetic algorithm

Pradip Thorbole, Prof. V. K. Harpale

[email protected]


ABSTRACT

Millions of people living with epilepsy in the world and most of them are from developing countries.

Epilepsy occurs mainly due to epileptic seizures and mainly observed in child and adults. It shows

symptoms like violent shaking and loss of control. Seizure detection and prediction is done by using

analytical methods applied to features which are extracted from Electroencephalographic (EEG)

recordings. Seizure forecasting would significantly improve the quality of life of epileptic patients.

Predictive algorithms use high dimensionality data to evaluate the likelihood of an impending seizure.

Seizure detection algorithms involve two main steps. First one is EEG, which is the representation of

electrical activity produced by firing of neuron within the brain and second is a threshold or model-based

criteria must be applied to that huge data to determine the presence or absence of a seizure (GA). Seizure

classification is done by combining a minimum redundancy maximum relevance (mRMR) approach for

seizures feature selection and a genetic algorithm (GA) for seizure classification. Result shows seizure

feature selection and implementation of genetic algorithm on FPGA.

IMPLEMENTATION OF BARREL DISTORTION CORRECTION ON

FPGA

Smita Darvatkar, Dr. Sheetal Bhandari


[email protected]


ABSTRACT

The present era of Engineering has brought tremendous automation in industry as well as in day-to-day

standards. Vision based system is playing major role in bringing this automation. It provides capability to

visualize things and objects beyond human vision and to extract and analyze all necessary information

from it like the X-ray system, automated parking lot or traffic control system, automotive industry; video

surveillance for military and security applications etc. Wide angle lens used in these vision based system

is powerful tool for magnifying the details and relative size of objects captured using cameras in these

systems and display the larger field of view. Unfortunately, the increase in the Field of view with wide

angle lenses comes at a price of more pronounced geometric distortion causing straight lines from the

scene to appear as curves in the image plane (Radial Distortion). Such distortion produces less realistic

images and affects objects relative sizes, depending on their position in the image. It is therefore desirable

to correct fisheye distorted images into their approximately rectilinear versions before presenting to the

end viewer. The Distortion correction algorithm includes complex mathematical functions and hence

requires large time to execute. Benefitting from hardware accelerators and softcore processors along with

design flexibility FPGA seems to be good choice as hardware architecture for implementing Distortion

Correction algorithm for real time video capturing systems with minimum distortion. This paper thus

aims in implementing a Perspective model for Lens distortion correction on Virtex-5 FPGA board capable

faster processing and reduced logical resources.

Video Error Concealment using Moment Invariance

Aditi Ghuge, Prof Rajani P. K.

[email protected]


ABSTRACT

Video error concealment is error hiding Technique. Recently there is need of Error Concealment in video

applications. Video applications are widely used in many domains such security, entertainment,

advertisement, media. In this paper, performing â€œVideo Error Concealmentâ€• on an error video, by

doing simulation on MATLAB using Moment Invariance to produce an error concealed video. Error is

detected and corrected by using moment invariance and block matching algorithm. In moment invariance

method, dividing the currentÂ image frameÂ from video into macroblocks and compare each of the

macroblocks with a macroblock of corresponding frame. Calculation of motion estimation is done then

feature extraction of one error frames and feature extraction error free frame is done. Subtraction of

features between those error and error free frame determines error in that video. Matrix of â€˜macro-

blocks’ that are compared with corresponding block and its adjacent neighbors in the previous frame and

error concealment is achieved.


Adaptive Thresholding For Target Detection Using Ordered Statistical

Methods

Snehal Hiwase, Prof. V.A.Kulkarni

[email protected]


ABSTRACT

In radar system, constant false alarm rate (CFAR) is algorithm used to detect target when the return

signal consist of noise, clutter and interference.ConstantÂ falseÂ alarm rateÂ (CFAR)Â isÂ a property

of threshold or gain control devices that maintain an approximately constant rateÂ of false target

detections.â€œCell averageâ€•(CA-CFAR) performance degraded in presence of interfering target or

change in background clutter noise. â€œ Greatest Of â€•(GO-CFAR) has been designed to control false

alarms during reverberation edges or clutter power transition fails to detect closely spaced targets.

â€œSmallest Of â€•(SO-CFAR) perform well in the presence of multiple targets. But none of them

perform well in all three background environment such as homogeneous , reverberation edges and

multiple target.â€œVariability Indexâ€• (VI-CFAR) composed of CA-CFAR, SO-CFAR and GO-CFAR

preform well in presence of homogeneous, reverberation edges and multiple target environment

respectively.

Mathematical modelling, Simulation and Implementation of Compensator for

dynamical system

Saroja Chavan, Prof.A.B.Patil

[email protected]


ABSTRACT

As the technology is growing the new applications are coming out which need both speed as well as

position control for better and efficient performance. Brushless DC motor find an various applications in

control system due to its advantages over conventional DC motor. But there are different problems in

work operation due to fast dynamics and instability. Therefore in dynamical system, controller plays an

important role to achieve stability and to get desired results. To meet this requirement, the response of

brushless dc drive system need to be improved. The performance of the typical brushless drive system

found to be sluggish. So it is necessary to improve the performance of such system to expected level as

this system find an application in most of the guided missiles with movable control surfaces or fins. To

overcome the shortcomings of conventional method, this system gives compensator design used to

improve steady state response and transient response of the system to accommodate required application.


BRIDGE HEALTHMONITORING SYSTEM USING ARM AND GSM

Shaikh Saddamhusen S, Prof. A.H. Ansari

[email protected]

PRAVARA EDU SOCIETY, PRAVARANAGAR [011]

ABSTRACT

Structures, including pipelines, aircraft, ships and civilinfrastructures, such as bridges, buildings, dams,

among others,are major parts of society’s economic and industrial success.Bridges are one of the critical

cross points of a country’stransport network but they are expensive to build and maintain.It is basically

imperative to keep connect harms from regular debacles, for example, hurricane surge, seismic tremor,

and so on. As needs be, the consideration on water powered brought about scaffold disappointment has

been gotten because of scour issues. In any case, in-situ connect scour observing is still one of the rough

works for analysts in their field applications. It is important to guarantee that the scaffold checking

framework under normal fiascos can work well. By sending cautioning signals, the ongoing data can give

designers to settle on right choice and take fitting activities in time while the extension harm happens.

This review connected the inventive scour observing procedures which have been outlined and created in

the research facility, and can be introduced and tried in the field.

Performance Optimization of VEDIC Multipliers using Reversible Gate With

proposed BCD Addition Algorithm

Pokale Pallavi D., Turakane Satish M.

[email protected]


ABSTRACT

Knowing the growing attractiveness and huge acceptance decimal computer arithmetic in medical,

technological, methodical, commercial, financial and internet based applications, hardware realization of

decimal arithmetic algorithms is attaining more importance. Hardware decimal arithmetic models now

provide as a fundamental element of some recently commercialized general purpose processors, where

intricate decimal arithmetic procedures, such as multiplication, have been realized by somewhat poor

speed iterative hardware algorithms. However, with the fast advances in very large scale integration

(VLSI) technology, semi- and completely parallel hardware decimal multiplication models are anticipated

to develop soon. Vedic multiplier is one particular encouraging solution. Its simple structures in

conjunction with increased speed varieties an unparalleled blend for serving any complicated

multiplication computations. Observing these, applying this with reversible logic further reduces

dissipation of power as well as area. Also using pre-correction technique before final result of

multiplication, increases speed further. This paper presents Vedic multiplication technique known as

â€œUrdhva-Tiryagbyhamâ€• meaning (vertically and crosswise).Technique is implemented using


reversible gate and preprocessing correction BCD addition algorithm. This result is compared with

previous various BCD multipliers.

Performance Optimization of Counter Using Pulsed Latches

Bobade Pranjali S., Turakane Satish M.

[email protected]


ABSTRACT

Paper proposes a ring counter using pulsed latches to increase performance parameter of previous ring

counter. To reduce area flip flops are replaced by pulsed latches. A latch keeps checking its inputs and

changes its outputs respectively. The latches are only sending and receiving the data if switch is on.

Pulsed latches are smaller than flip flops, therefore they requires small area thereby in many applications

latches are used in place of flip-flops. Number of flip-flops connected in series for design a counter.

Counters are a very popularly used component in digital circuits. Counters can be built very easily using

register type circuits such as the flip-flop. A ring counter is a type of counter devised of a type of circular

shift register. The output of the last shift register is given to the input of the first register. In counter

design area reduced by replacing flip flop with pulsed latches.

Intelligent Office Area Monitoring and Control System Using Voice

Commands, Android Mobile Phone and IoT

Aparna S. Kapare, Prof.S.A.Shaikh

[email protected]


ABSTRACT

Today the technology is getting enhanced so as to improve routine work. The life is getting automated for

the simplicity, security, saving electricity and time. The proposed system of office automation includes

central control of electrical appliances and its monitoring using android application and IoT.The

connection between the controller and the smartphone is established via Bluetooth, a wireless technology

used for sharing information. The intelligent office is referred to as a wireless automation system that can

be supposed to be executed in existing office area environments, without making any changes in the

infrastructure. The proposed system is envisioned to control and monitor electrical appliances using a

smartphone via Bluetooth as communication protocol and also raspberry pi as server system. It employs

IoT technology that uses computers or mobile devices to control basic office functions and features

automatically through internet. It is easy to communicate, manage and control without human

interferences.


Drip Irrigation monitoring using wireless sensors for different field

Vrushali Gite,, Prof. S.G. Galande

[email protected]


ABSTRACT

In agriculture field, there is necessity of automated water management system to make effective

utilization of water resources due to lack of rainfall. This paper presents the drip irrigation system using

wireless sensor with wireless RF module for different fields. The proposed system includes soil moisture

sensor, pressure sensor , temperature sensor , level sensor and wireless RF module for irrigation

operation. The sensor nodes collect information such as water content, temperature, water level data etc is

transmitted to controlling unit through wireless RF communication module. Also, we use pressure sensor

in the case where a system do not work correctly, as when the pipes burst or the emitters block. The

system monitors and displays all parameters information time to time on LCD screen. The proposed

system has ability to monitor large agricultural fields.

Ecludian Distance based Partial Face Recognition

Mr. Aher Pravin D., Prof. S.G. Galande

[email protected]


ABSTRACT

Various approaches have been proposed to recognize complete faces. However, few have dealt with the

problem of recognizing an arbitrary partial face. In real-world scenarios, human faces might easily be

occluded by other objects. This made traditional face recognition algorithms, which heavily rely on face

alignment and face normalization, infeasible. In this paper, we propose a partial face recognition approach

based on feature set matching, which is able to align partial face patches to gallery faces automatically

and is robust to occlusions as well as illumination changes.Then, we propose arobust point set matching

method to discriminatively match thesetwo extracted local feature sets, where both the textural

informationand geometrical information of local features are explicitlyused for matching simultaneously.

Finally, the similarity of two faces is been extracted and distance is been calculated based on Euclidian

distance formula.


Intelligent Robotic Disease Detection in agriculture system Using Raspberry

Pi

Mr.Prakash S. Jadhav, Prof.S.G. Galande

[email protected]


ABSTRACT

In agricultural field is modifying echonomical and social environment.Many of the farmers , agro help

center use the various advance technology to increases the agriculture production.

Plants are most important source of power or energy of human. There are various diseases that

effects on plants with the likely to cause socially &echonomically losses. India is agriculture country

where in about 65% population depends on agriculture. It must be noted that agriculture alone constitute

almost 22% of Gross Domestic product (GDP). Even though agriculture is of great importance, there are

various challenges face by farmer. Out of these the important problem are losses in agriculture product

due to disease on crop and in proper management of pesticides.The above problem of losses of crop due

to various diseases can be solved by disease detection technique . This technique can be implemented by

designing â€œAgri-Roboâ€•. With the help of these agri-robo farmer are able to continuous monitoring

of crop by controlling these 1 with the help of PC.

The Agri-robo automatically detect the disease on crop and after detection of disease, it spray the

corresponding pesticides in necessary amount and avoid the overdose of pesticides.Agriculture is very

labor intensive field and only field where the robots are not involved. Now-a- days many industries are

trying to reduce this human labor by making robots and machines. Here we are designing a autonomous

intelligent robot which indicates the plant health by observing the color of their leaves. The robot has also

pesticide spraying mechanism it will spray the plants according to their needs

NATURAL DISASTERS ALERT SYSTEM USING WIRELESS SENSOR

NETWORK

Mr. Yogesh B. Thete, Prof.S.G. Galande

[email protected]


ABSTRACT

Wireless Sensornetworks (WSN) provide to access sensors, controls, distributed network, and embedded

processors in palliation,appliances or equipment, and surrounding. The sensor network provided new

applications in area such as environment, industrial purpose and health care, for monitoring and control

for determination of safety and security.WSN technology is useful to provide effective or intented

solution natural disaster management. The current systems for TWS are bulky, very costly and difficult

to maintain.A Embedded controlled wireless sensor network is used for monitoring the impact of

earthquake and tsunami damage.The sensor nodes are custom-developed float sensors and acceleration

sensors and a low power readout ASIC circuit for a long life.The accelerometers are mostlyuseful for


measures the seismic response of an earthquake.They detect vibrations during an earthquake event and

send data to remotebase station where multiple sensors data across the town is collected. TheRF(Radio

Frequency) module provide less powernetwork architecture is implemented onto an 802.15.4.

Implementing Smart City Concept With Various Application Using IoT Based

Technique

Suvarna Sonawane, Prof.S.A.Shaikh,

[email protected]


ABSTRACT

Nowadays, population is increasing rapidly, which results in lack of public awareness of hygienic

environment. This has been creating a health issues all over the world .The world is increasingly getting

smarter and looking for secure, intelligent and smart solutions of resource optimization to improve quality

of life. This necessity has led to the development of smart and safe cities connecting the virtual world to

the physical, delivering real-time services that adapt to real-time situations based on IoT technology.

Internet of Things defined "the infrastructure of the information society". This system uses various

sensors for monitoring of infrastructural facility in a city. This sensor connected ATmega16

microcontroller using wireless communication technique. Controller collect the information from sensors

transfer to the servers through Zigbee module, SMS will be send to control room, it will indicate on GUI.

By monitoring proper management of waste materials, water and electric resource to maintain healthy

environment and better economy.

Design And Analysis Of 1-Bit Full Adder And Logic Gates

M.K.Musale, Prof. S.M.Turkane

[email protected]


ABSTRACT

The scaling of Metal-Oxide-Semiconductor Field Effect Transistor (MOSFET) are commonly used in

high speed integrated circuits, yield smaller and faster more functions at lower cost. Various problems

exist with scaling of MOSFET devices i.e. short channel effects (SCE), drain induced barrier lowering,

velocity saturation which limits the performance of MOSFETs. Scaling limitations of MOSFET devices

leads to lower ON to OFF current ratio limited by 60mV/dec sub threshold slope. A new type of device

called â€œTunnel FETâ€• is used to overcome these difficulties. TFET can beat 60mV/dec sub-threshold

swing of MOSFETs. In Tunnel FET the carrier are generated by band-to-band tunneling and OFF current

is low. Tunnel FET have energy barrier in OFF state, which avoids application where leakage is concern


of interest. In this Project sub-threshold swing and low OFF current is simulated and its power is

analyzed. Basically in VLSI circuit like design of IC we have to simulate all the parameters of the devices

& circuit regarding of that IC or any devices like FET, MOSFET, CMOS etc. In device simulation we are

most widely use software named as â€œHSPICEâ€•. We are doing analysis of full bit adder. We are

going to compare different characteristics.

Co-operative Eigenvalue Based Spectrum Sensing in Cognitive Radio by using

Bayesian Approach

B.A.Pangavhane, Prof.A.H.Ansari

[email protected]


ABSTRACT

Unused portions of allocated fixed spectrum are called spectrum holes or white spaces. These spectrum

holes or white spacesare used by cognitive radio technology in an opportunistic manner. It will solve the

global problem of spectrum scarcity. Cognitive radioassigns spectrum or radio resources in a manner to

keep interference between CR devices and licensed users within limit. The scope ofthis paper is to

achieve higher spectrum utilization in cognitive radio networks, using an optimal Bayesian Detector. If

the primary useris highly inactive and the primary signals are digitally modulated, we will derive the

optimal detector structure. And further suboptimal detectors in high and low Signal to Noise Ratio

scenario. The Bayesian Detector has better performance than the Energy Detector in high signal to noise

ratio and same performance as ED in low SNR for spectrum utilization. We provide false alarm

probability and Detection probability analysis

Multiframe Super Resolution in Image Processing

Pallavi Balkrishna Kulkarni, Prof. B.S.Patil

[email protected]

PVPIT, BAVDHAN, PUNE [048]

ABSTRACT

Super Resolution is evolving technique in image processing domain which constructs high resolution

image from one or many input frames of low resolution. Its usage is increasing widely in post image

analysis. Information obtained from a set of low resolution images is used by Multi-frame super

resolution and high resolution image is constructed. It aims at estimating the originally absent high

resolution factor from given low resolution images. Algorithms used in Multi frame super resolution

frequently use a linear observation model and build a relation between input Low Resolution images and

to be reconstructed HR image. This paper proposes ways to improve the quality of the output high


resolution image using regularization factors which will help in sharpening the edges and managing the

smooth regions using bilateral total variation which is locally adapted and consistency of gradients. The

combination of proposed regularization provides superior results as seen in experimental results.

E- NOSE SYSTEM USING ARTIFICIAL NEURAL NETWORKS (ANN) TO

DETECT POLLUTANT GASES

Shriram Gurunath Gadre, Dr. S. D. Joshi

[email protected]


ABSTRACT

In electronic nose multiple sensors are integrated to form a sensor array inn order to differentiate multiple

odor with the help of constant sensor heating voltage. In this project e-nose system is use to recognize and

analyze pollutant gases using artificial neural network algorithm. This is real time system in which

sensing node is monitoring the real time pollutant gases which will be wirelessly transmitted to parent

node to recognize and generate real time graph. Artificial neural network algorithm is consider to put

intelligence in system while recognizing pollutant gases in real time. Gases like methanol, LPG, ammonia

are pollutant gases and can harm environment and human body. This system will help to recognize the

pollutant gases in real time.

Lossless records trouncing for image based on reversible mapping transform

Komal Sunil Barde, Prof P.V.Mulmule

[email protected]


ABSTRACT

Data hiding is still an important research topic due to the design complexities involved. Steganography is

the technique of hiding confidential information within any media. Steganography is often confused with

cryptography because the two are similar in the way that they both are used to protect confidential

information. But because of loss in quality of original image we propose a Reversible Contrast Mapping

(RCM) is a simple integer transform that applies to pairs of pixels. For some pairs of pixels, RCM is

invertible, even if the least significant bits (LSBs) of the transformed pixels are lost. The data space

occupied by the LSBs is suitable for data hiding. The embedded information bit-rates of the proposed

spatial domain reversible watermarking scheme are close to the highest bit-rates reported so far. The

scheme does not need additional data compression, and, in terms of mathematical complexity, it appears

to be the lowest complexity one proposed up to now.


A Decision Tree Based Denoising Method for Removal of Impulse Noise in

Image Processing.

Swapna Bhapkar, Prof.Babasaheb Pawar

[email protected]


ABSTRACT

A Decision Tree Based Denoising Method for Removal of Impulse Noise in Image Processing.

Swapna Bhapkar

Department of E & TC Engineering, PVPIT, Bavdhan, Pune, Maharashtra, India

[email protected]

Abstract- The noise in images are added during image transmission. Images are corrupted because they

are transmitting through channels. Noise influences the image quality. It causes images to be blurred at

receiver side. Therefore it is necessary to removal the noise from images. This paper uses a decision

method for noise reduction. In addition to this adaptive method are also used such as median filter,

adaptive median filter. Noise detector and filter is main parts in this method. The performance of any

filter which is used for noise is dependent on the detection technique. Hence decision tree has detector

which detects noise in pixels and edge preserving filter to reconstruct intensity values of noisy pixel.

PSNR is calculated to check the quality of reconstructed image. So result obtain from this method are

suitable for removal of impulse noise.

Keywordsâ€”Impulse noise, detector, edge preserving filter.

Video Stabilization Technique And Performance Assesment

Snehal Joshi, Prof. S.M. Kulkarni

[email protected]


ABSTRACT

Abstract

â€œVideo Stabilization Technique and Performance Assessmentâ€•

Snehal Joshi

VLSI and EMBEDDED SYSTEM

PVPIT, BAVDHAN, PUNE, INDIA


Abstractâ€” The objective of video stabilization is to remove the unwanted camera motion and obtain

stable versions. In this paper we present video stabilization algorithm by using only L1 optimization

method and mixed L1-L2 optimization method. After applying both methods we compared results of both

method. Mixed L1-L2 optimization algorithm used for removing unwanted camera movements as well as

keeping original video information at greatest extent.

Keywordsâ€”video stabilization, mixed L1-L2 optimization

Carrier Aggrigation for LTE-A

More Anuradha Kiran, Anil Walke

[email protected]


ABSTRACT

Carrier Aggregation for LTE-A

Anuradha More

E & TC Department

SavitribaiPhule Pune University

Pune India

[email protected]

Anil Walke

Abstractâ€”To satisfy requirement of data rate up to 1 Gb/s peak e in future Advanced mobile systems,

carrier aggregation technology is introduced by the 3GPP to support very-high-data-rate transmissions

over wide frequency bandwidths (e.g., up to 100 MHz) in its new LTE-Advanced standards. It is one the

key feature of LTE-A.It allow user equipment’s (UEs) to simultaneously aggregate multiple component

carriers (CCs).The Bandwidth of the system may contiguous or non contiguous . In the CA many time we

face the problem for downlink transmission for the component carrier assignment & packet scheduling.

The throughput can be fairly increased by using the greedy based scheme

Interference control and radio resource management in femtocell

Rajesh Zagade, Anil Walke

[email protected]


ABSTRACT


Abstract

Embedding pico/femto base-stations and relay nodes in a macro-cellular network is a promising method

for achieving substantial gains in coverage and capacity compared to macro only networks. These new

types of base-stations can operate on the same wireless channel as the macro-cellular network, providing

higher spatial reuse via cell splitting. However, these base-stations are deployed in an unplanned manner,

can have very different transmit powers, and may not have traffic aggregation among many users. This

could potentially result in much higher interference magnitude and variability. Hence, such deployments

require the use of innovative cell association and inter-cell interference coordination techniques in order

to realize the promised capacity and coverage gains. In this project, we describe new paradigms for design

and operation of such heterogeneous cellular networks. Specifically, we focus on cell splitting, range

expansion, semi-static resource negotiation on third-party backhaul connections, and fast dynamic

interference management for QoS via over-the-air signalling. Notably, our methodologies and algorithms

are simple, lightweight, and incur extremely low overhead. Numerical studies show that they provide

large gains over currently used methods for cellular networks.Femtocell self-organization including self-

configuration and self-optimization is proposed to manage the large femtocell networks. We formulate the

optimization problem for PRB assignments where multiple QoS classes for different services can be

supported, and interference between femtocells can be completely avoided. The proposed formulation

pursues the maximization of PRB efficiency. A greedy algorithm is developed to solve the resource

allocation formulation. In the simulations, the proposed approach is observed to increase the system

throughput by over 13% without femtocell interference.

However, major concern with respect to the Femto deployment is its resource allocations along with

Marco and mobility of Home evolved NodeB (HeNodeB) at the building premises. In this paper, we

formulate the resource allocation problem as a utility optimization and develop a distributed algorithm for

joint power control and user scheduling.

License Plate Detection and Recognition

Smrati Kankane, Prof. A. S. Patil

[email protected]


ABSTRACT

License Plate Detection and Recognition

ABSTRACT

SMRATI KANKANE

PVPIT, Electronics & telecommunication Department

Automatic License Plate Recognition (LPR) is a technique involving image processing which is used to

identify a vehicle by reading its license plate. In our project we propose a system which is capable of

extracting the license plate region from the vehicle's image taken from its rear end. The system consists of


a digital camera, software to interface the camera with the software module and the software module

which extracts and recognizes the license plate number. The camera captures the image of pre-defined

resolution and passes it to the software module. The software module forms the heart of the entire system.

It analyzes the input image, identifies the location of the license plate, segments the characters on it and

recognizes the characters. The plate region is extracted by using different methods like VEDA with

morphological approach, MSER , SIFT approach etc. The characters in the license plate were segmented

using digital image labeling and character recognition was done using template matching. The algorithm

was implemented in MATLAB and the results obtained agreed with theoretical predictions.

Keywords -License Plate Recognition, LPR, morphological operation, number plate extraction, VEDA,

ULEA, MSER , SIFT, character segmentation.

Text Recognition by using svm classifier

Priyanka Y. Patil, S. I. Nipanikar

[email protected]


ABSTRACT

Abstract â€” Generally the images captured by Camera has many different shapes, sizes, colors, text, non-

text etc regions which very complex the Camera-based scene images usually have background which is

very complex. The existing system is very sensitive to font scale changes and background interference

with low accuracy. The most important aim of this system is based on character recognition method.

Separating text or characters from captured scene images or videos is a very difficult task because of

different text styles, fonts, patterns and variable background image interferences. We are proposing in this

paper that a process of natural scene text recognition from selected text regions from a natural image. In

text detection, we detect text from any natural image by using MSER (Maximally Stable Extremal

Region) algorithm. MSER contains the text region from an image; for text recognition and the proposed

system uses character descriptor which is very effective in extracting image. The local features descriptor

HOG is suitable and compatible with all main points’ detectors from interested region. Our method of text

recognition from detected text regions is very compatible with an application of mobile devices. The

demo system which developed is completely based on Android operating system. The Proposed system

exactly extracts text from any natural scene image with background interference. The demo system gives

us details of algorithm design and performance improvements of scene text extraction.

VHDL based convolution encoder using vedic mathematics and veterbi

decoder

Prathamesh Arun Lendghar, Prof N.N.Thune

[email protected]



ABSTRACT

Abstractâ€”As in mathematics, multiplication is the most commonly used operation. An ancient vedic

sutra named â€˜urdhav triyagbhyam’ is used for multiplication which gives a difference in actual process

of multiplication itself. It enables parallel generation of partial products and eliminates unwanted

multiplication steps. This paper presents the design of convolution encoder using vedic mathematics and

Viterbi decoder using parallel processing. The coding follows a fast multiplication process and achieves a

less computational complexity over its conventional multiplier resulting in less number of devices

utilization. Convolution encoding with Viterbi decoding is a good forward error correction technique

suitable for channels affected by noise degradation. The simulation and synthesis of proposed design are

done through XILINX 14.2i ISE simulator tool and coding is in verilog with Spartan 3A as the target

FPGA.

Keywordsâ€”Convolution encoder, Vedic mathematics, Urdhav triyagbhyam, Viterbi decoder.

Finger-Braille Interface For Navigation Of Bilnd People In All Over Barrier

Free Space

Amol Anil Supekar, Prof.V. M. Joshi

[email protected]


ABSTRACT

Abstractâ€” This paper discusses the development of Finger Braille interface for navigation of blind

people in all over barrier free space. Blind people can use several methods of communication. Finger

Braille is one of tactual communication media of blind people. In this index finger, middle finger and ring

finger of both hands are placed on keys of a Braille typewriter. A sender dots Braille code on the fingers

of a receiver like whether he does the type of the Braille typewriter. Then the receiver recognizes the

Braille code. Because there are small non-disabled people who are skilled in Finger Braille, blind people

communicate only with interpreters. In this project, a Finger Braille interface System with its design,

implementation and audio support system are presented for navigation of Blind people. A prototype

capable of deploying physically Braille characters is developed. Device is connected to a wearable

computer, so that Blind people can use it in their daily life. In order to support the wearable computers

equipped with the Finger-Braille device and audio support, a ubiquitous prototype environment is

designed and developed. This environment consists of wireless networks, floor-embedded active Radio

Frequency Identification tags (RFID), audio support etc. In the environment, blind people can be guided

through Finger-Braille device which will output location based information obtain from various wireless

nodes. Blind people depend on information and feedback means, about what is around them. Hence it is

difficult for these people to access information, if they don’t get the right support.

Keywordsâ€” Finger Braille; Blind; wearable computer; Radio Frequency Identification;


FPGA IMPLEMENTATION OF HIGH THROUGHPUT SUPERSCALAR

RISC PROCESSOR

Yogesh Gopal Torvi, Prof.V. M. Joshi

[email protected]


ABSTRACT

A superscalar processor is a type of processor having a parallel processing architecture, integrated a single

processor. It provides usgreater throughput (instructionsper unit of time). This paper proposes a

superscalar RISC processor based on DLX architecture, which would combine the individual architectural

concepts of superscalar RISC processor and DLX architecture, to deliver a high throughput processor.The

plan is to implement the superscalar RISC DLX processor architecture using Verilog Hardware

Description language (HDL) and target the Xilinx Field Programmable Gate Array (FPGA). The

superscalar processor would be implemented as a standalone IP core on the FPGA.[3][9][15][16]

Keywords - RISC, DLX, Superscalar, Verilog, FPGA, High Throughput

A Novel Approach for Contrast Enhancement-Based Forensics in Digital

Images

Kalyani Ravindra Chintawar, Prof. N. N. Thune

[email protected]


ABSTRACT

The contrast enhancement technique is specifically used to adjust the global brightness and contrast of

images. Malicious users may perform local contrast enhancement for creating realistic composite images.

In project, novel Approach for Contrast Enhancement Detection is used to detect the contrast

enhancement in the images for verifying the originality and authenticity of the images. The new

methodology involves two novel algorithms to detect the manipulations of contrast enhancement in

digital images. One of the algorithms focuses on the detection of global contrast enhancement applied to

the JPEG-compressed images, as these are widespread in real applications. The histogram artifacts

incurred by the JPEG compression and also the pixel value mappings are analyzed theoretically and then

distinguished by identifying the zero-height gap bins. Another algorithm helps to identify the composite

image which is made by enforcing contrast adjustment on either single source region or both source

regions. Then the positions of detected block wise peak/gap bins are clustered to recognize the contrast

enhancement mappings which are applied to different source regions. At last, the consistency between


regional artifacts is checked for discovering the image forgeries and also for locating the composition

boundary. Matlab tool is used for evaluating the performance of these two algorithms on various images.

The extensive experiment also verified the effectiveness and efficacy of the new methodology.

An Efficient Data Hiding in Digital Color Image by Sparse Representation

More Pratibha Mohanrao, Prof.R.S.Nipanikar

[email protected]


ABSTRACT

Abstract-Steganography is one form of cryptography where we hide data within images. Reversible data

hiding is a form of steganography in which we hide data within images, audio, video form. In reversible

data hiding the original cover can be recovered without loss after the embedded messages are extracted.

The project proposes the improvement of security system for secret data communication through multi

plane image data embedding in Color images or gray-scale images. A given input image is converted to

any one plane of RGB color image. After completion of plane separation, the data hider will hide the

secret data into the image pixels. The data hiding technique uses the LSB algorithm for hiding the secret

message bits into the input cover image. In the data extraction, the secret data will be extracted by using

relevant key for choosing the image pixels STEGO image to get the information about the data. Finally

the performance of this proposal in Color Image and data hiding will be analyzed based on image and

data. This paper presents a result of LSB method with sparse representation and chaos algorithm.

Keywords: RDH, LSB, chaos algorithm

Implementation of MATLAB Based Smart Grid Sysyem using Prims

Algorithm

Ashok Dattatray Patil, Mr. Nipanikar S. I.

[email protected]


ABSTRACT

The MATLAB based self-healing grid system using Prims algorithm is proposed to be used in developing

countries like India, Bangladesh, Pakistan where there is no availability of automatic switchover of

electricity user node when electricity link failure is occurred. This causes the labor inefficiencies due to

power failure in industrial area and minor load shading problem in residential area.To handle such type of

situation some practices had been taken into account to minimize the effect of grid failing.To overcome

this problem of grid failing, here we proposed one system algorithm which basically works on the


principle of redistributing the power flow of contingency transmission line to other lines with Flow

Control Relay. To implement the control strategy, The Minimum Spanning tree network and Prims

analysis method instead of the iteration algorithm and optimization method, is applied to redistribute the

power flow.The MATLAB is used to support in simulation and Prims algorithm used to handle the

overall performance and the recovery time of the system.

Embedded PLC bASED Industrial Automaton Process with Augmented

SCADA technology

Amitrao Subhash Patil, Dr. S. D. Joshi

[email protected]


ABSTRACT

Automation is basic delegation of control function for human to technical gazettes. It is the use of control

systems such as Microcontrollers, PLCs, computers to control machine and processes to reduce the need

for human sensory and mental requirements as well. This paper concentrates on an intelligent and

innovative control and monitoring system for color combination generation Plant by using "Raspberry Pi"

as an effective option to PLCs for the automation of color generation plants. However, we are going to

implement the same process for the all type of the industrial process that are going in the automation

industries only considering parameter are going to change so we have the mode selection for the different

type the process. We have the better result than the ordinary human eye. This work is going to be Product

implement for the different Process industries or quality testing department for the manufacturing

industry.

Implementation of the Agumented Reality Based Human Interaction Robot

for the Industry

Jayant Ravindra Memane, Mr. Walke A. V.

[email protected]


ABSTRACT

In this paper a concept and its implementation of Augmented Reality based human interaction robot

system for supporting human workers at industrial environments and for institutes is introduced. Different

aspects of Augmented Reality were analyzed and evaluated with respect to industrial requirements:

tracking methods, interaction devices, accuracy, cost etc.


This proposed method supported to the embedded solution with the help of image processing and

augmented reality where real life interaction is possible. Quality is busted by using simultaneously taking

frame and applying image processing and AR algorithm for that frame and gets result as the quality of the

AR process.

Host Based Card Emulation Implementation on Android Smart Phone

Dhanashri Manohar Shinde, Prof.V. M. Joshi

[email protected]


ABSTRACT

With the evolution of smart phones, we see that more and more manufacturers are moving toward Radio

Frequency capabilities. One such technology is Near Field Communication i.e. NFC. This is based on

RFID. In the modern world, we see the need of carrying multiple smart cards with us. The smart cards are

used for payment, security access purposes. With Android OS version 4.4 (KitKat) and above, Host

Based Card Emulation Mode is supported. We can emulate the Smartphone as card. This eliminates the

need of carrying multiple smartcards as a single Smartphone can emulate multiple cards.

This paper talks about analysis and implementation of NFC Reader as well as NFC Smart card with Host

based card emulation. Host based card emulation eliminates the need for physical Secure Element in the

hardware. The secure data is maintained in the application itself.

With Host Based card cost for Secure Element can be reduced but on the other hand more security

considerations shall be taken into account.

IOT based smart grid to remotely monitor & control Renewable energy

source

Priyanka Bhausaheb Deshmukh, Prof.H.N.Patil

[email protected]


ABSTRACT

The customer domain of the smart grid naturally blends with smart home and smart building systems, but

typical proposed approaches are â€œdistributor-centricâ€� rather than â€œcustomer-centric,â€•

undermining user acceptance, and are often poorly scalable. To solve this problem, we propose a detailed

architecture and an implementation of a â€œlast-meterâ€� smart gridâ€”the portion of the smart grid on

customer premisesâ€”embedded in an internet-of-things (IoT) platform. Web of Things is a new

information processing and acquisition method, that is been widely used in


intelligent transportation, environmental monitoring and other fields. The WoT is an important technical

mean to the development of smart grid and security smart grid. WoT technology can effectively combine

the infrastructure resources in increase the level of power system information, and improve the utilization

efficiency of infrastructures in the existing power system. The urgency of its applications in smart grid are

pointed out by concept of smart grid and WoT are described. The construction of smart grid which is

based on Web of things are made, and implementation in typical application including Solar power

prediction, condition monitoring of overhead transmission lines, power monitoring, smart home and asset

management.

SPARSE REPRESENTATION BASED STEGANOGRAPHY FOR SPEECH

SIGNAL

Nikita Sunil Kulkarni, Prof. S I Nipanikar

[email protected]


ABSTRACT

With the rapid growth in interactive media environment, the security of highly confidential data is at

stake, which makes the security itself a major concern. High security of the data can be achieved by

steganography, the art and science of secret communication, where the secret message is hidden under a

cover message so that it seems as if there is no existence of the secret message. Image steganography uses

image as the cover for hiding secrete data as a speech. The best location for embedding on the cover can

be helpful in achieving the major objectives of steganography such as high security and imperceptibility.

The proposed method uses cost function which calculates edge, entropy and intensity, helps to find the

better location for embedding. The sparse representation is applied on the speech signal. When checked

for PSNR and MSE, PSNR of the proposed method is found to be high and MSE is found to be as low as

0.00.

TECHNIQUES OF VIDEO STABILIZATION

Reshma Mohan Waghmare, Prof. S. M. Kulkarni

[email protected]


ABSTRACT

This paper describes the Video Stabilization also a new approach to low level image processing, in

particular edge and corner detection. In the last decade utilization of handheld video cameras have

become quite popular however the videos captured by unprofessional users or by fixed and vehicle

mounted cameras have resulted in shaky and unclear videos. In this work we aim to use a video


stabilization algorithm using point feature matching technique to reduce the vibrations in acquired video

sequences. The paper presents motion estimation techniques, motion models, feature detection

techniques, robust sampling consensus and mainly the RANSAC paradigm. Implementation of the feature

points matching based stabilization algorithm was done using the MATLAB platform and applied to three

different videos with jitter.

Spectrum Sensing Optimization by Sensing Threshold and Duration for

Cognitive Radio Networks

Vinayak Rajendra Barbole, Anant More

[email protected]

RMD SINHGAD SCHOOL OF ENGINEERING [102]

ABSTRACT

The spectrum sensing problem is one of the challenging issues in cognitive radio systems. In this paper,

Spectrum Sensing Optimization of cognitive radio networks by joint optimization of sensing Threshold

and Duration is presented. High network utilization by secondary users can be achieved with fast and

reliable spectrum sensing. Maximizing Throughput for secondary users by considering both parameter

variable to sensing 1.Sensing Threshold and 2.Sensing Duration. Joint optimization can be achieved by

two performance criteria minimizing time for detection of spectrum hole and Joint optimization of the

opportunistic throughput.

OVERVIEW OF ARTERY AND VEIN CLASSIFICATION IN RETINAL

IMAGES USING GRAPH BASED APPROACH

Ritesh Rajshekhar Khatakalle, Prof. R. U. Shekokar

[email protected]


ABSTRACT

To investigate whether retinal vessel caliber measurements on optical retinal Photography are

affected by light and dark exposure prior to photography. Whether the vessel caliber changes

during an imaging sequence ,Digital optical retinal photographs which is obtained from 32

healthy Adults in two separate image sequences of six images during 1 min; one sequence with

of dark exposure and one with of light exposure for 10 min each of prior to imaging. Retinal

arteriolar and venular calibers were measured computer-assisted and summarized as central

retinal artery and vein equivalents (CRAE and CRVE).from that Outcome measures were

difference in calibers after prior light versus prior dark exposure also difference in calibre during


each of the two imaging sequences. We also present a 3D reconstruction of retinal blood vessel

trees using two views of fundus images.

Bayesian Approach For Spectrum Sensing In Cognitive Radio

Pravin Baburao Kamble, Anant More

[email protected]


ABSTRACT

Cognitive radio (CR) is one of the best concept for increasing the utilization of spectrum. With previous

knowledge that the primary user is idle and primary signals are digitally modulated, we discussed

Bayesian approach for maximum spectrum utilization. We described optimal detector structure for MPSK

modulated primary signal. We also described its suboptimal detector in both low and high SNR regime.

Through approximations, in low SNR regime, for MPSK signals, the suboptimal detector is that the

energy detector as well as for BPSK signals, the suboptimal detector is that the energy detector on the real

part. In high SNR regime, for BPSK signals, the test statistic is that the sum of signal magnitudes,

however uses the real part of the phase-shifted signals as the input. The performance analysis of the

suboptimal detector in terms of probabilities of detection, false alarm, selection of detection threshold and

number of samples.

IPsec the Realm for Secure Communication in Internet of Things

Aishwarya Ashok Akul, Prof. Mrs. Snehal Bhosale

[email protected]


ABSTRACT

Internet of Things (IoT) provides many services in Industrial, Medical, commercial areas etc. Therefore,

implementing secured communication in the IoT is essential among many other issues. An IPv6 network

interconnects multiple computers and a large number of smart devices. IPsec is secured network therefore

it is reasonable to explore the option of using IPsec as a security mechanism for the IoT. Smart devices

are generally added to the Internet using IPv6 over Low-power Wireless Personal Area Networks

(6LoWPAN). Therefore, to provide security for the IoT IPsec mechanism and IPsec extension of

6LoWPAN is important.


IMPROVEMENT IN KEY MANAGEMENT SYSTEM USING ECC

Sanket Dilip Patil, Prof. Mrs. Snehal Bhosale

[email protected]


ABSTRACT

In recent years, wireless sensor networks (WSNs) have been deployed for a wide variety of applications,

including military sensing and tracking, patient status monitoring, traffic flow monitoring, where sensory

devices often move between different locations. Securing data and communications requires suitable

encryption key protocols.Dynamic wireless sensor networks (WSNs), which enablemobility of sensor

nodes, facilitate wider network coverage and more accurate service than static WSNs. Therefore, dynamic

WSNs are being rapidly adopted in monitoring applications, such as target tracking in battlefield

surveillance, healthcare systems, traffic flow and vehicle status monitoring, dairy cattle health monitoring

In this paper, we propose a certificateless effective key management protocol (CL-EKM) for secure

communication in dynamic wireless sensor networks characterized by node mobility. CL-EKM supports

efficient key updates when a node leaves or joins a cluster and ensures forward and backward key

secrecy. The protocol also supports efficient key revocation for compromised nodes and minimizes the

impact of a node compromise on the security of other communication links. A security analysis of our

scheme shows that our protocol is effective in defending against various attacks. We implement CL-EKM

in windows and simulate it using self designedjava simulator to assess its time, energy, communication

and memory performance.

Aquatic Debris Monitoring & Detection using Raspberry Pi based

â€˜AQUABOT’

Prajakta Ghorpade, R. Shekokar

[email protected]


ABSTRACT

Monitoring aquatic debris is of great interest to the ecosystems, marine life, human health, and water

transport. This paper presents the design and implementation of AQUABOT - a vision-based surveillance

robot system

that integrates raspberry pi, robotic fish model along with camera and other sensors for debris monitoring

in relatively

calm waters. AQUABOT features real-time debris detection and coverage-based rotation scheduling

algorithms. The

image processing algorithms for debris detection are specifically designed to address the unique

challenges in aquatic

environments. The rotation scheduling algorithm provides effective coverage for sporadic debris arrivals

despite


camera's limited angular view. In this paper, we focus on the design of debris detection and mobility

scheduling

algorithms running on a single RASP node. The sensing results of multiple nodes can be sent back to a

central server

via the long-range communication interface for fusion and human inspection.

Project Aims are -

1) Develop several lightweight CV algorithms to address the inherent dynamics in aquatic debris

detection, which

include an image registration algorithm for extracting the horizon line above water and using it to register

the images to

mitigate the impact of camera shaking, and an adaptive background subtraction algorithm for reliable

detection of

debris objects.

2) Propose a novel approach to dynamically offloading the compute-intensive CV tasks to the cloud. The

offloading

decisions are made to minimize the system energy consumption based on in situ measurements of

wireless link speed

and robot acceleration.

3) Analyze the coverage for sporadic and uncertain debris arrivals based on geometric models. Using the

analytical

debris arriving probability, we design a robot rotation scheduling algorithm that minimizes the movement

energy

consumption while maintaining a desired level of debris coverage performance.

4) Implement a prototype of AQUABOT and evaluate it through extensive test bed experiments and

trace-driven

simulations. The results show that AQUABOT can accurately detect debris in the presence of various

dynamics and

maintain a satisfactory level of debris arrival coverage while reducing the energy consumption of robot

movement

significantly.

Real implementation on embedded sensing platforms shows that our method is more accurate, and

consumes less

hardware resources than the conventional approaches. Finally, an initial deployment of aquatic sensor

nodes will show that

the proposed method provides robust debris detection performance,& will meet the real-time requirement

on embedded

sensing platforms. Our future work will focus on the implementation of aquatic mobile platforms and

collaboration

schemes between multiple nodes for debris detection.


6LoWPAN compression extension for HIP header to ensure end-to-end

security in Internet of Things.

Tejas Manohar Mehare, Prof. Mrs. Snehal Bhosale

[email protected]


ABSTRACT

The Internet of Things (IoT) is an emerging and promising paradigm that can be considered as an

extension of the Internet to interconnect all kinds of smart objects around us to provide a pervasive

information access. Wireless sensor networks (WSNs), as a requisite component o the IOT, allow the

representation of the dynamic characteristics of the real world in the Internets virtual world. The maturity

of the Internet of things is arguably related to communications security and end user privacy protection.

The material and technological heterogeneity also the symmetric nature of the communications between

the sensor nodes and internet hosts are making secure is a challenging problem. In this paper we propose

a 6LoWPAN (IPv6 over Low Power Wireless Personal Area Networks) compression for the header of

HIP (Host Identity Protocol) packets as well as security computational load in HIP Base Exchange (HIP-

BEX) to achieve lightweight end-to-end security .

ANALYSIS OF THE POWER AMPLIFIER NONLINEARITY IN CRN

Rushikesh Bhairav Nale, Prof. A. R. More

[email protected]


ABSTRACT

The interference to the primary receiver (PR) is a critical issue in the resource allocation of cognitive

radio (CR) networks. For instance, the nonlinearity of the power amplifier (PA) causes nonlinear

interference to the PRs. This paper studies the power allocation in cognitive radio networks by

considering the nonlinear effects of the PA on the received signal-to- noise ratio (SNR) at the secondary

receiver (SR) and the adjacent channel interference (ACI) to the PRs. A nonlinear PA with limited

dynamic range and a lower limit on the transmit power is assumed for the secondary transmitter (ST). To

control the resulting ACI from the ST to the PRs, the PA needs to be turned off in some fading blocks. To

investigate the throughput, an analytical expression for the probability of data transmission between the

secondary users is derived as a function of the interference temperature limits of the PRs. All analyses are

performed for both peak and average ACI power constraints. Through theoretical analysis and simulation

studies, maximum achievable average SNR at the SR is investigated. Moreover, the throughput

degradation is studied and it is observed that the average ACI power constraints result in the better

performance than the peak ones.


Feature Extraction and Classification in ECG Biometric Signal

Kalyani Umesh Girde, Mrs Nandini Dhole

[email protected]


ABSTRACT

This Customary biometric recognition frameworks regularly utilize physiological attributes, for example,

unique mark, confront, iris, and so forth. Later a long time have seen a developing enthusiasm for

electrocardiogram (ECG) based biometric acknowledgment procedures, particularly in the field of clinical

prescription. In existing ECG based biometric recognition techniques, feature extraction and classifier

configuration are as a rule performed independently. In this paper, multitask learning approach is

proposed in which highlight extraction and classifier configuration are completed all the while. Weights

are allocated to the features inside the kernel of each task. We break down the network comprising of all

the feature weights into sparse and low rank components. The meagre part decides the highlights that are

important to distinguish every person, and the low rank segment decides the normal component subspace

that is pertinent to distinguish every one of the subjects. The execution of the proposed approach is

shown through tests utilizing the MIT-BIH Normal Sinus Rhythm database.

Iris Based Access System Using Stabilized Iris Encoding and Zernike

Moments Phase Features

Payal Deepak Mahajan, Mrs. Nandini Dhole

[email protected]


ABSTRACT

Iris recognition is a technique for biometric identification. Biometric identification gives programmed

acknowledgment of an individual based on the unique feature of physiological characteristics or

behavioral characteristic. Iris acknowledgment is a technique for perceiving a man by examining the iris

design. The standardized area is proposed, which essentially contains the Zernike moment (ZM) phase.

An exact and vigorous estimation of the rotation angle between a pair of normalized regions is then

described and used to measure the comparability between two coordinating areas. Exact iris

acknowledgment from the indirectly gained face or eye pictures requires improvement of powerful

systems, which can represent for significant variations in the segmented iris image quality. This variations

can be highly correlated with the consistency of encoded information and information iris elements that

such delicate bits can be misused to enhance coordinating exactness


Secret-Besed Encryption Scheme for Smart Gride Wireless Communication

Rashmi Suresh Khamankar, Nandini Dhole

[email protected]


ABSTRACT

Security in the smart grid is challenging. Smart Grid is perceived as two way correspondence i.e.

communication technology. There are various communication, intelligent, monitoring and electrical

elements utilized in power matrix that makes it keen. These components consistently creates cum genuine

opportune talks the basic data like observing information, client vitality utilization, network status,

request reaction and so forth among the smart grid devices. So, security attacks on such a system

threatens. The security of smart grid, results in severe consequences. In this paper, the idea of dynamic

secret is applied to design an encryption scheme for smart grid wireless communication. Between two

parties of communication, the previous packets are coded as retransmission sequence, where retransmitted

packet is marked as â€œ1â€� and the other is marked as â€œ0.â€�During the communication, the

retransmission succession is produced at both sides to refresh the dynamic encryption key. In our

experiments, a smart grid platform is built, employing the ZigBee protocol for wireless communication.

And a dynamic secret based encryption demo system is designed based on this platform.

Remotely Sensed Image Approximation using Tetrolet Transform

Sonali Shantaram Bandal, Prof. Kalpana Amrutkar

[email protected]


ABSTRACT

On expansion, to the remote detecting image, it is troublesome with secure an extraordinary pitiful

achieve shortages whether it holds an impressive measure about inconspicuous components. Watched the

two issues, a novel blend framework that is about a percentage sweeping statement will be recommended.

The methodology abuses those purposes of enthusiasm of the tensor outcome wavelet change over to

representational from claiming smooth birch pictures and the capability of the tetrolet change on speak to

composition furthermore edge suitably at a similar period. Besides, two specific procedures for not

require help composed, which help growing those essentialness concentrate further what's additionally

protecting the information of the focuses to the extent that conceivable. The arrangement of the suggested

blend framework might be as takes after: to An accommodated remote detecting image, In those normal

tensor thing wavelet change will be utilized, then those overabundance around coterminous wavelet

coefficients is removed. Eventually Tom's examining settling on a polyphase decay should each subband

for a p-fold filter, What's more than a while later that, those nearby estimation of the low repeat picture

cam wood an opportunity to be got by reproducing the people protected coefficients. Second, to the point

by point image, the meagre decay might be passed on insane toward that tetrolet change. For those high

back subbands, an adaptable decay will make accomplished for expanding the vitality amassed.


Following that, the close estimation of the point by point picture could a chance to be acquired byre

constructing the individual’s safeguarded coefficients.

Adaptive Image Registration Based Nonuniformity Correction Algorithm for

Image Filtration

Shweta Wanmali, Prof. Rajesh Shekokar

[email protected]


ABSTRACT

In this paper, adaptive nonuniformity correction algorithm for image filtration is presented. The basic

function of this method is to eliminate the ghost artifacts. A ghost artifact is produced when refraction of

an ultrasound beam occurs in one part of a scanning plane also image duplication or triplication occurs.

With respect to real time continuous image sequence, we first calculate displacement vectors on the basis

of row and column projections. And then by bidirectional image registration the overlapped area matrices

of two frames are obtained. Then we set the variance threshold to judge the scene classification. After that

the displacement revising taken to decrease stripe noise. This feature based method helps to find

displacement in keypoints instead of intensity. The gain and offset coefficients of the overlapped area is

updated in real time with the image sequence by using the least-mean-square-error iteration algorithm.

The benefits of this calculation lie in its high productivity of picture preparing, low computational many-

sided quality. A clean infrared image sequence and two real infrared datasets with nonuniformity are used

to compare the ability and correction performance of different algorithms. The output of the algorithm

gives the precise output than other methods.

SUPERPIXEL-BASED HAND GESTURE RECOGNITION USING REAL

TIME CAMERA

Ankita P Thakur, Prof. Sachin Magadum

[email protected]


ABSTRACT

Hand gesture recognition framework got incredible consideration in the current couple of years in light of

its complexness applications and the capacity to connect with machine productively through human

computer interaction. With the large use of computers Human computer Interaction has become an

important part of our daily life. The hardware devices like keyboard, mouse are used for the Human

Computer Interaction.This paper exhibits another superpixel-based hand gesture recognition system based


on a novel superpixel earth mover’s distance metric, together with images taken from Kinect depth

camera. The profundity and skeleton data from Kinect are successfully used to deliver marker less hand

extraction. The hand shapes, surfaces and profundities are spoken to as superpixels, which successfully

hold the general shapes of the signals to be perceived. In view of this portrayal, a novel separate metric,

superpixel earth mover’s distance is proposed to quantify the disparity between the hand motions.

human action recognition using spatio temporal & SVM Approach

Upadhye Ketakee Vidyadhar, Mr.Rajesh Shekokar

[email protected]


ABSTRACT

Local space-time features capture local events in video

and can be adapted to the size, the frequency and the velocity

of moving patterns. In this paper we demonstrate how

such features can be used for recognizing complex motion

patterns. We construct video representations in terms of local

space-time features and integrate such representations

with SVM classification schemes for recognition. For the

purpose of evaluation we introduce a new video database

containing 2391 sequences of six human actions performed

by 25 people in four different scenarios. The presented results

of action recognition justify the proposed method and

demonstrate its advantage compared to other relative approaches

for action recognition.

ARM-7 Based Semi Autonomous Vehicle

Sayali S.Pawar, R.G.Dabhade

[email protected]

S. N. D COLLEGE OF ENGG & R CENTER, YEOLA, NASHIK [050]

ABSTRACT

In every day there are millions of vehicles are passing on the roads due to urbanization. Transportation

Department plays an important role in the features like Time, safety and efficiency but due to the lack of

awareness Accidents occurs as usual and the consecutive things will be delayed then it gives the lose of

the life also. Here the proposed paper describes the process for avoiding the above mentioned issues. It is


ARM7 based system the core hardware has modules such as RFID READER, GPS, GSM wireless

transmission will try to compensate the new transport related issues. Applications such as accident alert,

traffic rule violation control and special zone are explained in this paper. An efficient utilization of

communication link between RF Modems over a wireless channel to provides the information regarding

vehicle monitoring, vehicle authentication. The implemented system is a more convenient to

automatically sending information to above such applications.

ARRIVAL TIME AND SEAT AVAILABILITY PREDICTION SYSTEM

FOR PUBLIC TRANSIT

Magar Sonali Bhausaheb, R.G.Dabhade

[email protected]


ABSTRACT

The proposed system focuses on enhancing the usability and productivity of existing bus transportation

system in Indiancities. In this technology has a role to play for completion of the goal by means of

providing an effective solution by establishing a wirelesscommunication network in the city.This

introduces a framework as an improvement to the existing city bus public transport system in India -

Arrival Time Prediction of bus and approximate Seat Availability in the bus. Zigbee and GSM/GPRS

Technologies can be utilized to establish a wireless networkamong Buses, Bus Stops and Central Bus

Stand in order to establish this interconnection.ZigBee modules used for short-range communication and

Long-range communication is established using GSM messaging. Theimprovements in the system are

expected to encourage more people to use public transport in order to overcome the problem oftraffic.

Excessive fuel consumption is also problem in many aspect this also get reduced.

ATM Vault authentication and security using finger print biometric with

GSM technology

Deshmukh Reena Haribhau, Prof. R.K. Navandar

[email protected]


ABSTRACT

Automated Teller Machine (ATM) is the best approach for accessing bank’s Account from anywhere at

any time. Being an electronic telecommunication device, it helps customer to perform

transactions/withdraw cash, make deposits & transfer funds by simply touching few buttons on screen

without need for a cashier or bank teller. There are no proper authentication methods applied for security


during ATM transactions. In this paper, security approaches of ATM have been focused on, and have

been improved using biometric based authentication technique i.e.

Wireless Real Time Bus Location Tracking & Time predicting System

Bhad Pooja Ramdas, Navandar R. K.

[email protected]


ABSTRACT

The main purpose of this project is to develop a real time bus tracking system to enhance current bus

service system and reduce the workload of bus management team. The poor services provided by bus

service providers are because majority of them are still implementing manual work. Moreover, passengers

are impatient while they are waiting in bus stop because they are not able to know exactly how long to

wait and where the next coming bus is. Excessively long waiting time at bus stops often discourages the

travelers and makes them reluctant to take buses.

Global Positioning System (GPS) is the main technology implemented behind the system. A GPS receiver

is used to track on real time bus coordination by continuously receiving the position data which are

latitude and longitude values from GPS satellite, then send the position data to Microcontroller and

process the raw position data into real time information for users. From that we can find the location of

bus and to reduce workload performed by bus management team.

The Use of Graphene-Based Earphones in Wireless Communication

Wable Yogita Balnath, Dabhade R. G.

[email protected]


ABSTRACT

Graphene-based materials have attracted much attention in recent years. Many researchers have

demonstrated prototypes using graphene-based materials, but few specific applications have appeared.

Graphene based acoustic devices have become a popular topic. This paper describes a novel method to

fabricate graphene based earphones by laser scribing. The earphones have been used in wireless

communication systems.

A wireless communication system was built based on an ARM board. Voice from a mobile phone was

transmitted to a graphene-based earphone. The output sound had a similar wave envelope to that of the

input; some differences were introduced by the DC bias added to the driving circuit of the graphene-based


earphone. The graphene-based earphone was demonstrated to have a great potential in wireless

communication.

Face recognition based attendance monitoring system

Sonawane Pramod Dasharath, Dabhade R. G.

[email protected]


ABSTRACT

In this seminar report we will discuss speaker recognition. Speaker recognition can be performed by

recognizing the utterance of a speaker. This systems can be classified into text dependent systems and

text-independent systems. In this report we will also discuss the types of text dependent and text

independent system. The types of text dependent systems are viz. Dynamic Time Warping, Hidden

Markov Model. The types of text independent systems are viz. Artificial Neural Network, Vector

Quantization Method, Gaussian Mixture Model, Support Vector Machine. Based on literature survey I

have observed that Support Vector Machine performs better as compared to other systems. It is a

generalized linear classifier with maximum-margin fitting functions. This fitting function provides

regularization which helps the classifier generalized better. By using the combination of Support Vector

Machine and Hidden Markov Model, We can assessing the video and audio modalities through an RGB

camera and a microphone array. By analyzing the individual speakers spatio-temporal activities and

mouth movements, a mid-fusion approach to perform both Voice Activity Detection(VAD) and Sound

Source Localization (SSL) for multiple active and inactive speakers.

Signal Analyzer Using SDR-RTL Dongle

Kale Rupali M, Dabhade R. G.

[email protected]


ABSTRACT

In this paper the implementation of FM signal flow graph using GNU radio software and Noo-Elec RTL-

SDR dongle is explained. It also explains how install the dependencies of GNU radio and RTL-SDR

drivers on Windows. RTL-SDR dongle can demodulate FM signal in the frequency range from 25 MHz

to 1.75 GHz. It can perform spectral analysis of FM signal, ISM (Industrial Scientific and Medical) band

signal of 433MHz, GSM signal which is in UHF (Ultra High Frequency) band, etc.


Plant protection and pest control using Linux based embedded system

Kardile Monali Balasaheb, Dabhade R. G.

[email protected]


ABSTRACT

The main objective of this work is to predict the occurrence of risk factor in apple caused by apple scab in

Himalayan regions. Firstly, we obtained the readings of the necessary environmental parameters like

temperature, humidity and leaf wetness duration, which leads to the growth of disease and pests by

interfacing sensors with the Raspberry Pi board and calculation of the infection index of the disease of

apple. As a prediction model, the Beta regression model was used as a standard equation from which the

severity index was derived and then in the prediction subsystem, the Python programming language was

used to predict the severity of apple scab disease to apple caused by ascomycete fungus,

Venturiainaequalis. Using Python and by analyzing pest surveillance data set of apple scab, we developed

a model for the prediction of pests. Further, we used the database connectivity, to send the data and the

required outputs to the server where the authorized officials could access the data. The result showed that

Raspberry Pi and Python successfully predicted the pest attack in advance. In this way it is a novel, easy

to handle, economical system for the apple growers and farmers.

Smart Farm Monitoring Using Raspberry Pi And Arduino

Korade Sarika Raosaheb, Prof.Navandar R.K

[email protected]


ABSTRACT

This study aimed to investigate an establishment using an Intelligent System which employed an

Embedded System and Smart Phone for chicken farming management and problem solving using

Raspberry Pi and Arduino Uno. An experiment and comparative analysis of the intelligent system was

applied in a sample chicken farm in this study. The findings of this study found that the system could

monitor surrounding weather conditions including humidity, temperature, climate quality, and also the

filter fan switch control in the chicken farm. The system was found to be comfortable for farmers to use

as they could effectively control the farm anywhere at any time, resulting in cost reduction, asset saving,

and productive management in chicken farming.

Real Time Detection and Assessment of water parameters using GSM


Kulkarni Ganesh Mukund, Navandar R.K

[email protected]


ABSTRACT

Proposed model presents efficient and economical system to assess and detect the water parameters

deciding quality of water like PH, Turbidity, water temperature and conductivity using sensor network.

This system uses two different modules namely sensor station and assessment station .Sensor station

contains sensor array containing various sensors namely PH senor, Conductivity sensor, water

temperature sensor, turbidity sensor which collects real time readings of these parameters and send it to

the Assessment room where we can observe the readings using VB based front end & if we

found anything exceeding predefined limit then corrective action can be taken. So this model proposes

quite useful and holistic model for water quality measurement.

IOT Based Solar Field Monitoring And Control

Jawale Kanchan Bhivraj, Dabhade R. G.

[email protected]


ABSTRACT

The Internet of Things (IoT) is the system network of physical object devices, vehicles, buildings and

other items embedded with sensors, electronics, software and network connectivity that enables these

objects to collect and exchange data. IoT is expected to generate large amounts of data from diverse

locations. IoT is one of the platforms for today’s smart city and smart energy management systems. In

this paper, we are interested in Photovoltaic systems (PV) which generate electricity from solar radiation.

More precisely, our contribution consists in the implementation of a remote monitoring and control PV

system for standalone applications located in an open environment. The novelty of our approach relies on

the fact that it is operational even in the case of a huge spread deployment of PV system. Monitoring

systems provide 24/7 data log of the system, which maximizes the benefits of early-warning systems,

trending and performance reporting as a part of their routine of monitoring. In addition, they use systems

for monitoring news, weather and spot-market pricing to ensure all issues are included in the monitoring

process. Our solution aims to be a good replacement of manually module checking which is not

recommended because of time-consuming, less accuracy and potentially dangerous to the operator.. Then,

we introduce, as a communication technology, a full duplex digital system using the infrastructure of the

following system. The result of our demonstration shows that the system can monitor and control the

remote communication between the monitoring center and the PV station. Thus, the remote monitoring

functions are realized in real-time.


Health Companion Device using IoT and Wearable Computing

Garud Priyanka Ramdas, Dabhade R. G

[email protected]


ABSTRACT

Remote Health monitoring means to monitor people’s health outside the clinical settings. Our approach is

to develop a wearable device that will monitor the temperature and pulse rate of the person on a regular

basis and enable early detection of deterioration. If the person's temperature or pulse rate crosses the

critical level, the device will alert the person's relatives his/her deteriorating condition with the person's

current location. It also includes generation of a daily analysis report

helping the doctors to get a better understanding of the person’s condition and thus helps in better

diagnosis. It continuously uploads data on cloud which helps doctor to create monthly report of particular

person. Insights derived from the collected data, help the users to better monitor their health as well as

fitness and also helps the doctor to study the details of variations

in the user’s health conditions.

Active Power Filter based Power Factor Correction using Embedded System

Aher Tejas Revaji, Prof. Navandar R K

[email protected]


ABSTRACT

According to last few years, the power quality of the AC system has become a great concern due to the

rapidly increased numbers of inductive loads, electronic equipment, power electronics and high voltage

power system. In order to reduce line losses and improve the transmission efficiency, power factor

correction research became a hot topic. Many control methods for the Power Factor Correction (PFC)

were proposed. This paper describes the design and development of a single-phase power factor

correction using PIC (Programmable Interface Circuit) micro-controlling chip. This paper presents a

technique for single phase power factor correction of non-linear loads employing an active power filter.

The current control strategy is the same used in the boost pre-regulator, which is the average current mode

technique. It will focus on the design methodology and the analysis of the control strategy which allows

the compensation of harmonics and phase displacement of the input current, for single and multiple non-

linear and linear loads.

Web Based Automatic Irrigation System Using Embedded Linux Board


Barse Vaishali Satish, Dabhade R. G.

[email protected]


ABSTRACT

Automation is need of life and in farm sites also. In many small scale as well as large scale field it require

automation of processes. Such system management using dynamic IP based Embedded Web-server

(EWS) is presented in this project. In current era of networking, to maintain EWS with static Internet

Protocol (IP) is costly and difficult to manage. Novel approach of assign dynamic IP to board is

developed and tested for different dynamic IPs. Dynamic IP is obtained for embedded board by enabling

internet on things (IOT). The embedded system consists of raspberry-pi processor running on Linux

operating system. Embedded board (EB) having dynamic IP contains different inputs from sensors for

automation as well as web page designed in .php . With this web page any authorized person can monitor

irrigation automation parameters as well as can control irrigation applications.

Surveying Robot (Scorpion Robot).

Kadam Monali Shravan., Dabhade R. G.

[email protected]


ABSTRACT

In recent years, robots have been applied at different domains to co-ordinate collaborative behavior in

distributed systems and providing a powerful basis for proactive applications of complex nature,

especially in large scale disasters requiring complex tasks to be performed by groups under extreme time

and resource constraints. Now a day’s robotics technology is became very popular in all fields of human

life. A robot is a machine designed to execute one or more tasks repeatedly, with speed and precision. An

important aspect of robotics security systems is surveillance of specified area. All of these tasks are

performed mostly by human and trained dogs, often in very dangerous and risky situations. This is why

since some years mobile robots have been proposed to help them and to perform tasks that neither

humans, dogs nor existing tools can do.

Finally, the paper provides new avenues for effective utilization of automation and robotics through we

try to introduce the arduino based interesting application of robotics in disaster surveying and as well as

for security purpose. The robot is serially connected to PC.

IOT Based Industrial Monitoring and Fault Detection Using Android

Bhagyashree Dattatray Daware, Prof. Archana A Hatkar

[email protected]


S. VISVESVARAYA IOT, NASHIK [027]

ABSTRACT

Now a days Automation plays major role in the industry. Human efforts are reduced using automation

system which monitors and indicates any fault in the system. In this paper IOT concept is implemented.

IOT is nothing but network of physical object or things embedded with electronics, software, sensors and

network connectivity which use this object to collect and exchange data. Here the system is developed,

which will automatically monitor the industrial applications and generates alerts and alarms and take

intelligent decisions using IOT concept. Here automation system is developed which can be used in

industry for monitoring various parameters such as temperature, humidity, gas and fire.

Voice Recognition Home Automation System Based On ARM 11

Atul Madhukar Borade, Prof.U.V.Patil

[email protected]


ABSTRACT

In the recent years, the Home Automation systems has seen a rapid changes due to introduction of various

wireless technologies. The explosion in the wireless technology has seen the emergence of many

standards, especially in the industrial, scientific and medical (ISM) radio band. ZigBee is an IEEE

802.15.4 standard for data communications with business and consumer devices. Zigbee is targeted at

applications that requires low data rate, long battery life, and secure networking. Zigbee has a defined

rate of 250 kbits/s, best suited for periodic or intermittent data or a single signal transmission from a

sensor or input device. The wireless home Automation systems is supposed to be implemented in existing

home environments, without any changes in the infrastructure. The automation centers on recognition of

voice commands and uses low-power ZigBee wireless communication modules along with

microcontroller. This system is most suitable for the elderly and the disabled persons especially those

who live alone and since recognize voice so it is secure. The home automation system is intended to

control all lights and electrical appliances in a home or office using voice commands. A voice recognition

wireless ZigBee based home automation system.

Smart Lab Using Android Phone

Abhijit Rajan Matade, Prof.Archana A Hatkar

[email protected]


ABSTRACT


Oscilloscopes which are available may be CRO or DSO is not handy, user-friendly, not portable, and

requires

more power consumption. If we are doing any analysis regarding any circuit, then to see its synthesis we

move towards oscilloscope. So, if oscilloscope can be handy with the help of android as an operating

system, whenever we want to see our desirable waveform, it is in our hand. We are developing the real

time application of android oscilloscope. This paper presents the design and implementation of a low cost,

portable, light-weight; low power, single-channel oscilloscope, consisting of a hardware device and a

software application. The device is equipped with a Bluetooth module to provide connectivity to a device

with Bluetooth, running the Android operating system (OS), in order to display the waveforms. This

device also operates relays which provides different power supplies at the output.

SMART SPECTRUM SENSING AND ALLOCATION WITH

CYCLOSTATIONARY TECHNIQUE

Samruddhi Manoj Muttha, Mr. Manoj Kumar

[email protected]

S.V.'S ENGG. COLG, RAJURI [99]

ABSTRACT

Spectrum is main part of wireless

communication. Today spectrum security is a big problem due

to advanced growth of users. Spectrum is basically of two

types. The user that doesn’t need any license to operate is

called as Secondary user. In contrast, the user that needs

license to operate for wireless communication is called primary

user. It operates in fix geographical area for fixed time.

Spectrum frequencies cannot be increased because it has

limited range. We can try to improve spectrum efficiency with

the help of various technologies or methods like Cognitive

radio, Software defined Radio and Spectrum sharing

technique. Spectrum sensing is a method to obtain the

spectrum use characteristics across multiple dimensions such

as time, space, frequency, and code and finding which type of

signals are present in the spectrum. Here, Spectrum Sensing

method namely Cyclo-stationary is thought to be implemented.


REAL TIME EFFICIENT FOREGROUND EXTRACTION WITH VIDEO

PROCESSING

Pawan Arun Gawade, Mr. Manoj Kumar

[email protected]


ABSTRACT

Video analysis is large source of unstructured

information today. Introduction to HEVC that is high-

efficiency video coding standard has tremendous potential to

lower the cost of data transfer and storage. HEVC provides

forty percent or more than that of reduction in bit rate at the

same visual quality. Looking over problem of limited

bandwidth it became necessary to compress video data. to

compress the data spatial and de correlated data is removed.

This causes compressed data to serve as a vital resource for

machine learning with significantly fewer samples for training.

In this project, an effective approach to foreground extraction/

segmentation is expected using novel spatio-temporal de-

correlated block features taken directly from the HEVC

compressed video [1]. Most of techniques, in contrast, work on

uncompressed images providing significant storage and

computational resources not only for the decoding process

prior to initialization but also in order to feature

selection/extraction and background modeling stage following

it. The proposed approach has been qualitatively and

quantitatively evaluated against Gaussian mixture model.

AN EFFICIENT IMPLEMENTATION OF ENHANCED KEY

GENERATION TECHNIQUE IN DATA ENCRYPTION STANDARD (DES)

USING VHDL

Chabukswar Punam Milind, Mr. P. Balaramudu

[email protected]


ABSTRACT

Cryptography is the process of protecting message

to avoid an unauthorized access of data. Secured Key plays

important role in cryptography. For increasing the level of

security in any communication system this project proposed an


Enhanced key generation unit. The system proposed here three

other that direct keys generation ways to make key generation

stronger are user generated key, second one by using LFSR which

is good key stream generator, third is by using chaotic encryption

and fourth is 2’s complement. Another part is DES algorithm and

control unit is also designed for controlling the 16 round of DES

for encryption and decryption. In the implementation of DES

algorithm, a multiplexer-based architecture is used to implement

the substitution operations (SBoxes). These proposed architecture

is modeled in the VHDL design language and synthesized in the

Xilinx Virtex-xc6vlx75t-3ff484 field-programmable gate array

(FPGA) device.

A BROADBAND MIRCROSTRIP ANTENNA WITH CAPACITIVE

COUPLING FOR C-BAND APPLICATIONS

Bandari Hanumanthrao Sriramulu, Mr. Manoj Kumar

[email protected]


ABSTRACT

This paper presents the design and simulation of co-axial fed microstrip antenna for C-Band (4-8 GHz)

application with capacitive coupling technique. The antenna designed from antenna theory (manual

calculation) for centre frequency 5.6 GHz and later optimized for broadband using HFSS (High

Frequency Structural Simulator) software. Dielectric substrate FR-4 epoxy with dielectric constant 4.4 is

used. The proposed antenna exhibits a much higher impedance bandwidth 53% (S11

IMPLEMENTATION OF AES ALGORITHM USING VHDL

Kumar Amit Bindeshwar, Mr. Manoj Kumar

[email protected]


ABSTRACT

The Advanced Encryption Standard (AES)postulates a cryptographic procedure approved by FIPS to

safeguard data in electronic form. AES algorithm is a symmetric block cipher that can be used for

encrypting (encipher) and decrypting (decipher) data. The Advanced Encryption Standard was accepted

as an up gradation after the previously used Data Encryption Standard (DES) was found to be weak due to

its small


key size and technical advances in processor power. Out of the fifteen algorithms in contention Rijndael

was selected as the new standard for encryption. Two Belgian inventors, Joan Daemen and Vincent

Rijmen collaborated to establish the name of Rijindael. It being a block cipher, its mechanism is on

permanent

length group of bits, called blocks. An input block of a assured size, usually 128 bits, is taken and an

equivalent output block of the same size is produced. A secret key acts as second input of

lengths of 128, 192 or 256 bits. Basically AES adopts a substitution-permutation set-up, which

concatenates a series of mathematical operations that use substitutions with known values and

combination of transformation in a permuted iteration in such a way that each input bit manipulates every

output bit. Here

we explore the steps in AES and its implementation on FPGA using VHDL.FPGA is the best platform

which specializes in fast iterative process using least devices.

GREEN HOUSE IMPLEMENTATION USING WEB SERVER

Priyanka Narayan Dhirde, Mr. P. Balaramudu

[email protected]


ABSTRACT

The Proposed system provides a technique and

new optimization fashions of greenhouses,which may be

effortlessly, included into power hub management systems

in the context of clever grids to optimize the operation in

their strength structures. In greenhouses, synthetic lighting

fixtures, CO2 monitoring, and weather control structures

control extensive electricity;as a result, a version of

greenhouses appropriate for his or her foremost operation

,in order that it is able to be applied as a supervisory

control in current greenhouse manage systems. The goal is

to minimize general electricity intake specifically, inside

temperature and humidity, CO2 awareness, and lights

ranges have to be saved within precise levels. consequently,

this model carries the quit-user preferences to optimally

function current manage systems in greenhouses. IoT

allows price powerful wireless sensor community system

with high effectiveness. It enables give up user real time

facts monitoring within a blink of eye. To avoid manual

mistakes and high guy electricity price for long time

monitoring utility it turns into vital to implement IoT

application for green house power automation.


analysis of texture and classification based on wavelet transform with diffrent

linear model

Vikash Kumar Rajendra Prasad, Mr. Manoj Kumar

[email protected]


ABSTRACT

The Wavelet Transform is a multiresolution analysis tool commonly applied to texture analysis and

classification and also Wavelet based pre-processing is a very successful method providing proper Image

Enhancement and remove noise without considerable change in overall intensity level. The Wavelet

Transform mostly used for contrast enhancement in noisy environments. In this paper we propose a

texture analysis with the linear regression model based on the wavelet transform. This method is

motivated by the observation that there exists a distinctive correlation between the samples images,

belonging to the same kind of texture, at different frequency regions obtained by 2-D wavelet transform.

Experimentally, it was observed that this correlation varies from texture to texture. The linear regression

model is employed to analyze this correlation and extract texture features that characterize the samples.

Our method considers not only the frequency regions but also the correlation between these regions. In

contrast the tree structured wavelet transform (TSWT) do not consider the correlation between different

frequency regions. Experiments show that our method significantly improves the texture classification

rate in comparison with the,

TSWT, Gabor Transform and GLCM with Gabor and some recently proposed methods derived from

these.

Differential Latency Hypothetical Han Carlson Adder

Shekade Suvarna Dilip, Mr. P. Balaramudu

[email protected]


ABSTRACT

In this paper we have proposed hypothetical Han-

Carlson adder. The proposed adder employs hypothecation:

the exact arithmetic function is replaced with an approximated

one that is faster and gives the correct result most of the time,

but not for all time. The approximated adder is augmented

with an error detection network that asserts an error signal

when speculation fails. The hypothetical adder to reduce delay

and power consumption compared to non-hypothetical adders.


The paper describe the stages in which differential latency

hypothetical prefix adder can be subdivided and presents a

novel error detection network that reduces error probability

compared to previous approaches .

Bank Security System using multispectral palm print images

Phalke Ulhas, Mr. P. Balaramudu

[email protected]


ABSTRACT

Abstract - Biometric identification is an emerging technology that can solve security problems in our

networked society. A new approach for the personalidentification using hand images is presented. This

paper attempts to improve the performance of palm print based verification system by integrating hand

geometry features. Unlike other bimodal biometric systems, the users do not have to undergo the

inconvenience of using two different sensors since the palm print and hand geometry features can be

acquired from the same image, using a digital camera, at the same time. These features are then examined

for theirindividual and combined performances. A new method of extracting palm print features is

presented. Since palm print images have many creases which are organized like ridges, ordinary

Fingerprint feature extraction algorithms are unable to extract ridges. Consequently, the goal of this paper

is to construct a new feature extraction method which can extract ridges under these conditions. This

technology actually processes on lines and points are extracted from palms for personal identification.

This paper presents a novel biometric technique to automatic personal identification system using

multispectral palm print technology. The Palm print recognizes a person based on theprincipal lines,

wrinkles and ridges on the surface of the palm. The recognition process consists of image acquisition, pre-

processing, feature extraction, matching and result. The different techniques are used for the pre-

processing,

Structural Health Monitoring of Bridge Using WSN

Ankush Sanjay Pawar, Prof.Y.R.Risodkar

[email protected]

SANDIP IoT & RESEARCH CENTER, NASHIK [061]

ABSTRACT

Bridges play important role while considering the transport infrastructure. They represent a major

investment for society and an important part of that investment goes to inspection and maintenance.

Bridges often assign as bottlenecks in transport system with few practical alternative routes. As such,


closing them for repair, inspection or replacement entails large costs for the users. Furthermore, safety

levels in bridges are expected to be higher than other parts of the transport system. This comes naturally

due to the fact that failure of a bridge could have severe consequences in material damage and human

lives. Introducing monitoring techniques in its different forms i.e. damage detection, traffic monitoring,

reliability assessment, etc. can save wealth by improving the understanding of the structure, thus reducing

the need of overly safe assumptions and by granting the possibility to get early warnings of problems that

develop. Now-a-days rapid development in the field of monitoring going on. Advances in sensor

technologies, different data communication devices and algorithms of data processing all explains the

possibilities of SHM, damage detection, traffic monitoring along with the other implementations of

monitoring systems. Bridges are crucial part in country’s infrastructure, as they are requiring huge amount

to build and maintain. As such, need to focus onto bridges for monitoring. Monitoring can enhance the

life of bridge. It can directly impact on avoiding or postponing any type of replacement, repair onto that

bridge. Many bridges establish bottleneck in the transport network as they serve with few or no

alternative routes. The amount of resources saved, by the both owner as well as user due to reducing the

amount of non-operational time can easily justify the extra investment in monitoring.

Under Vehicle Monitoring System for High Security Application

Janhavi Sanjay Soni, Dr. S. T. Gandhe

[email protected]


ABSTRACT

Today the world is facing the biggest issue of crime, terrorism and vandalism. More than a billion of

motor vehicle travelling in the world allowing millions of people to move freely from one place to

another place. Terrorist and criminal’s organization use this freedom every day to smuggle arms and

weapon, traffic drugs border crossing and highly sensitive locations with bombs and weapons. The under

chassis is the only place of the vehicle which is very convenient to hide the drugs, weapons and

contrabands because it cannot be locked and always open. In this paper we proposed an under vehicle

monitoring system (UVMS) for high security application to provide the security against such dangerous

threats. Although such type of system is already available in the market, but the existed system is handled

manually and it is highly expensive as well so it cannot be affordable for every firm or person. The main

objective of this paper is to make the UVMS atomized and find a cost effective solution over the existing

system.

CAN Based Fault Finding System For Vehicle Using I2C Bus

Madhuri Govind Gadkari, Dr.G.M.Phade

[email protected]



ABSTRACT

Now a days automotive electronics is rapidly advancing in driver assistance system. Current vehicles

generally use different networking protocols to integrate these driver assistance systems into vehicle, like

RS 232, RS 422 and RS 485. These protocols are only used to transport the message. It is required to find

the faults which occur in vehicles. Existing protocol does not meet this requirement. CAN(controller area

network) is an attractive solution for it with the embedded control systems due to its low cost, light

protocol management, the deterministic resolution of the contention and built-in features for error

detection and retransmission. Fault confinement is a major benefit of CAN. This paper explains design

and development of CAN bus protocol using I2C bus for monitoring the vehicle’s parameters like blown

fuse indication, temperature and controlling.

Anomaly Detection in Hyperspetral Images Using Improved LRASR

Meghana Sanjay Pagare, Prof.Y.R.Risodkar

[email protected]


ABSTRACT

A novel method for detecting anomaly in hyper spectral images will be (ILRASR) using K-nearest

neighbor (KNN). Intensity is used for obtaining information and in Feature based methods, physical

features are used for obtaining information. Physical features like points and lines are obtained by various

methods. Eigen values is one of the features extraction techniques for registering an image and we are

also applying KNN which is a method used for classification and regression. And lastly optimization

problem will be solved to check whether it’s anomaly or non-anomaly (i.e. to check expect maximization

or minimization). In this project, optical and SAR images are used for registration, we will be taken two

input images and perform feature extraction between these two images. Key points will be matched and

displayed here. An essential preferred standpoint of the proposed algorithm is that it consolidates the

worldwide and nearby structure in the SAR images. Exploratory outcomes have been led utilizing both

recreated and genuine informational collections. These tests show that indicate that our algorithm

achieves very promising anomaly detection performance.

IoT Driven Healthcare System for Remote Monitoring of Patients

Rasika Ramanlal Nerkar, Prof. P.G.Salunke

[email protected]



ABSTRACT

Improving the efficiency of healthcare infrastructures andbiomedical system is one of the most

challenging goals of modern-day society. The IoT revolution is re-designing modern health care with

promising technological, economic, and social prospects. The IoT allows objects to be sensed and

controlled remotely across existing network infrastructure. Wearable sensors play an important role in

remote health monitoring systems for long term recording, management and clinical access to patient’s

physiological information. IoT-based healthcare services are expected to reduce costs, increase the quality

of life, and enrich the user's experience. According to WHO standard, 60% population of India is affected

by chronic and cardiovascular diseases. The proposed system reduces the headache of patient to visit to

doctor every time he/she needs to check pulse oxygen in blood, body temperature and ECG. Doctor could

make use of real-time data collected on the cloud platform/ server to provide fast and efficient solution.

Image Deblurring via Enhanced Low Rank Prior using Modified LRMA

Shweta Suresh Gunjal, Prof.S.J.Pawar

[email protected]


ABSTRACT

Low rank network estimation has been achievement completely connected to various vision issues lately.

In this paper, we propose a novel low rank earlier for blind image deblurring. Our key perception is that

straightforwardly applying a straightforward low rank model to a hazy information picture essentially

diminishes obscure even without utilizing any bit data, while safeguarding imperative edge data. A

similar model can be utilized to diminish obscure in the inclination guide of a blurry information. Based

on these properties, we present an upgraded earlier for image deblurring by joining the low rank prior of

comparable patches from both the foggy picture and its angle delineate. We utilize a weighted atomic

standard minimization strategy to additionally improve the adequacy of low rank earlier for picture

deblurring also we employ a curvelet transform method to further enhance the effectiveness of low rank

prior for image deblurring, by retaining the dominant edges and eliminating fine texture and slight edges

in intermediate images, allowing for better kernel estimation.What's more, we assess the proposed

improved low rank earlier for both uniform and non-uniform deblurring. Quantitative and subjective

exploratory assessments show that the proposed calculation performs positively against the cutting edge

deblurring strategies.

Hydro-Monitor and Quality Analysis Using FPGA

Ammar Ahmad Mahvi Ghulam Rasool, Prof. Sushant J. Pawar

[email protected]



ABSTRACT

Hydro-Monitor is an innovative system that check the water and its physio-chemical properties in an

electronically automated manner. This is not just testing the water properties and its features, rather it also

provides an automated system. Various physio-chemical properties of water in the automated system,

such as measurements of temperature, conductivity, Water flow, water level in the tanks, etc. also

included. Along with, this system is also designed for filling the water for homes or the societies in an

automated manner, without any human intervention. Through this system, in a bungalow or the entire

society, automatically checking of the status of tanks i.e. either they are empty of full, filling them on

priority basis, and the physio-chemical properties and quality of the water supplied to the common people

is to be measured, the data is collected on regular basis and mailed to the destination provided in a

modern style. In this era of lack of time, the author designed a new style of technical, time saving as well

as surprisingly labor-saving system.

Stabilizing Control Equipment for Survival of Isolated Mid-city Power

System

Atul Laxman Suryawanshi, Dr. Gayatri M. Phade

[email protected]


ABSTRACT

In view of the global scenario, electricity has become a prime need of human

being, ranging from household to industrial needs. The plexus of electricity from

generation to distribution is enormous. One of the most complex disciplines in electrical

engineering is power system protection which not only requires proper understanding of

the different components of a power system but also a good knowledge and analysis of

the abnormal circumstances and failures that can occur in any element of a power system.

The research of load flow analysis, fault level calculations and figuring out the

maintenance and repairs is very intricate because one has to mull over the line routes and

relay settings are to be decided based on the worst case in the fault prone area. It also

becomes obligatory to conduct several trials so as to calculate the time multiplier scale of

numerical protection relays which ensures that the minimum differentiation margin is

found between main protection relay and its backup relays. This can only be possible by

implementing a protection algorithm using an embedded system. This paper sheds light

on development of a numerical relay with integrated protection, control and monitoring

features o combat such situations by considering different fault conditions.


Abandoned Object Detection

Nilesh Ramesh Ghuge, Prof.P.A.Dhulekar

[email protected]


ABSTRACT

Recently, security cameras have been installed at a high rate in places where there are extensive grounds

and many humans gather. The number of installed security cameras has been increasing year by year. The

main reason is security enhancement including the prevention of incidences of terrorism.Therefore, we

propose a method which detects abandoned objects and algorithms can be used to assist security officers

monitoring live surveillance video by directing their attention to a potential area of interest.

High Speed and Low Power Flash ADC

Prajakta Ravindra More, Prof.P.A.Dhulekar

[email protected]


ABSTRACT

The Analog to Digital converters play an important role in today’s world of electronic systems. Present

applications demands High Speed and Low Power ADC. Out of the available ADCs, Flash ADC is most

popular not only for its highest conversion rate but also for its use in other types of ADCs and its wide

applications.Traditional N-bit flash ADC requires 2N-1 comparator and same number of preamplifier. if

we use multiplexer to design FLASH ADC number of Comparator and Preamplifier get reduced also use

of mux in Thermometer to binary encoder will reduce delay which will ultimately reduce overall power

consumption ,area and will rise the speed of operation.

Augmentation of RGB satellite imagery by means of vector field method

Sagar Kute, Prof. S.J.Pawar

[email protected]


ABSTRACT

A Multispectral image is modeled as vector field with a number of dimensions equal to the number of

bands in the image. In this model pixel is defined as vector formed by a number of elements equal to the


number of bands. It is often necessary to enhance multispectral radiance or reflectance data to create an

image that is suitable for visual interpretation.

A general method is needed that works for any number of bands, with no parameters and a reasonable

computing time. To fulfill such goal contrast stretch models a multispectral image by means of vector

field. The dimension of this filed equals the number of bands of the image. Such a evaluation includes

qualitative and quantitative analysis which will show clear improvements compared to state-of-art

methods.

Real time handwritten character segmentation using embedded platform.

Snehal S Dholi, Dr. Sanjay Gandhe

[email protected]


ABSTRACT

Segmentation of handwritten file into text lines and words is vitally important for optical character

recognition i.e. OCR. The attribute of handwritten fileisuneven and depending on the person to person

therefore it is considered a stimulating problem. In order to address the problem, we formulate the word

segmentation problem as a binary quadratic assignment problem that considers pair wise correlations

between the gaps as well as the likelihoods of individual gaps. We estimate all parameters based on the

Structured SVM (Support Vector Machine) framework and embedded platform (using raspberry pi) so

that the proposed method works well irrespective of writing styles and written languages without user-

defined parameters. Proposed method achieves the state-of-the-art performance on Latin-based and Indian

languages ICDAR 2009/2013 handwriting segmentation databases which are experimentally proven.

Object Capturing In Cluttered Scene Using Point Feature Matching

Vimal Shudhakar Bodke, Prof. P.A.Dhulekar

[email protected]


ABSTRACT

Algorithm for detecting a specific object based on finding point correspondences between the reference

and the target image. It can detect objects despite a scale change or in-plane rotation. It is also robust to

small amount of out-of- plane rotation and occlusion. This method of object detection works for objects

that exhibit non-repeating texture patterns,which give rise to unique feature matches. This technique is

also works well for uniformly-colored objects, or for objects containing repeating patterns. Note that this

algorithm is designed for detecting a specific object.


Intensification of Content Based Image Retrieval Using Color, Texture And

Edge Features

Yogen Mahesh Lohite, Prof. S. J. Pawar

[email protected]


ABSTRACT

Content Based Image Retrieval (CBIR) systems are used to find images that are visually similar to a

query image. The application of CBIR systems can be found in many areas such as a web-based product

search, surveillance, and visual place identification. A common technique used to implement a CBIR

system is bag of visual words, also known as bag of features. Bag of features is a technique adapted to

image retrieval from the world of document retrieval. Instead of using actual words as in document

retrieval, bag of features uses image features as the visual words that describe an image.

Image features are an important part of CBIR systems. These image features are used to gauge similarity

between images and can include global image features such as color, texture, and shape. Image features

can also be local image features such as speeded up robust features, histogram of gradients, or local

binary patterns. The benefit of the bag-of-features approach is that the type of features used to create the

visual word vocabulary can be customized to fit the application. This work is a promising step towards

much larger, â€œweb-scaleâ€• image corpora.

Implementation of Remote Server using Raspberry PI for Traffic Detection

and Alert System

Ghanshyam Talele, Prof.Y.R.Risodkar

[email protected]


ABSTRACT

The embedded web server technology is the permutation of implanted device and Internet technology,

which allows a flexible remote device monitoring and management function based on Internet browser

and it has become an advanced movement of embedded technology. Through this server based on

embedded system client can monitor their equipments remotely. The monitoring mentioned here could be

traffic monitoring. This development is focused on implementation of ARM embedded web server based

on Raspberry Pi which will be able to serve the purpose of traffic detection and alert system.


SCADA monitoring using arduino platform

Vihang Ajay Sangamnerkar, Prof. Sushant J. Pawar

[email protected]


ABSTRACT

Wireless networks (WSAN) constitute an emerging technology with multiple applications. Due to the

features of WSAN (dynamism, redundancy, fault tolerance, and self-organization),this technology can be

used as a supporting technology. The reach of the SCADA system has been hampered by deployment

flexibility of the sensors that feed it with monitoring data.The integration WSAN with SCADA is

economical. However, there are challenges which have to be addressed in order to comprehensively take

advantage of the WSAN features. Keywords- Critical infrastructure monitoring; Arduino platform;

(SCADA); Security & Surveillance; Human Machine Interface. I Introduction SCADA is centralized

system and often, are used with applications where security and safety are vital factors.

Identification,detection & classification of plant leaf diseases by using Image

Processing

Gawali Priyanka Dilipkumar, Dr. G. U. Kharat

[email protected]


ABSTRACT

This offered work makes open to, a advance computing technology that has been undergone growth to

help the farmer to take higher decision about many aspects of the years produce development process.

Due to increased production, exact evaluation & diagnosis is being difficult. There is an production,

economic losses as well as reduction in quality and quantity of agricultural products. Now a day’s plant

diseases discovery has received increasing attention in looking at greatly sized field of the years produce.

In this paper we need of simple plant Leaves disease discovery system that would help moves-forward in

farming. Early information on the years produce being healthy and disease discovery can help the control

of diseases through right business manager’s designs. This way of doing will gets better amount

production of the years produce. This research work also makes a comparison the benefits and limiting

conditions of these possible & unused quality ways of doing. It includes several steps viz. image

acquisition, image pre-processing, features extraction and normalized minimum distance classifier for

classification.


Reduction of energy consumption in NoC

Hande Bhagyashri Jaysing, Dr. G. U. Kharat

[email protected]


ABSTRACT

As technology trends advances workstation chips converted increasingly parallel, an effective

communication substrate is crucial for gathering presentation and energy goals, also as nanometre

technology shrinks day by day work station chips migrated to SOIC - System On Integrated Chip which

leads to too many challenges in the design era, and is more serious for communication applications such

as Network On Chip (NoC) and also as technology contracts, the power supply of NoC links starts to

struggle with that of NoC routers.

A major challenge to the competence of multi-core chips is the energy used for communication among

cores over a Network on Chip (NoC). As the number of cores growths, this energy likewise growths,

striking serious limitations on design and performance of both applications and architectures. So,

understanding the influence of different design choices on NoC power and energy consumption is central

to the success of the multi- and many-core designs.

In this project work, we propose the use of efficient data encoding techniques as a real-world technique to

shrink both power dissipation and energy consumption of NoC links. We mark the core reason of network

energy consumption through techniques that shrink link and router-level switching commotion. The

proposed encoding techniques are simulated and verified by Xilinx tools.

Gesture Recognition of Handwritten Digit Using MEMS Accelerometer Based

Digital Pen

Bhore Prashant Prakash, Dr. G. U. Kharat

[email protected]


ABSTRACT

There are different technologies used in computer vision which helps to recognize a hand written

character more effectively and yields a reliable output with the advancement of electronics. On-line hand

writing character recognition using accelerometers is the basic proto-type for all the latest technologies.

Here this project work present a 3-D input medium based on inertial sensors for on-line character

recognition and an ensemble classification scheme for the recognition task. The system allows user to

write a character in the air as a gesture, with a sensor-embedded device held in hand. This project work

based on a 3D input digital pen which works on triaxial accelerometer to sense human gesture. This

digital pen embedded with triaxial accelerometer, microcontroller, RF wireless transmitter module. The

triaxial accelerometer measure acceleration signal along all the 3 axis. Accelerated signal process through

microcontroller and serially transmitted through RF transmitter which can be received at remote place RF


receiver. With the help of MATLAB tool feature vector are generated from received accelerated signal to

recognize handwritten numeric digit and PNN classifier technique for the best accuracy purpose.

Voltage Source Invert er with Three Phase Prevent er and Selector for

Industrial Application

Bhandare Vilas Baburao, Dr. G. U. Kharat

[email protected]


ABSTRACT

In this competing world where efficient and effective production takes place, industries uses 3 phase

supply that cannot afford a failure of even a single phase. Failures of any phases make appliances prone to

erratic functioning and may even lead to failure of that appliance. Phase absence is a very common

problem in any industry. Many times one or two phases may not be live in three phase supply. Because of

this, many times some electrical appliances will be â€œONâ€� in one block and â€œOFFâ€� in another

block. This creates a big disturbance in industry. In the agriculture area different motors are used that is

also depends on three phase supply if any phase lost then motor stop working & some time it get damage.

Three phase Induction Motors are very sensitive and get damaged, when they are subjected to single-

phasing. The motor will operate within its rating when the voltages are balanced. When the voltages

become unbalanced, excessive heating will occur, and the motor will have to be dated. Goal is to build a

system that can support one of the phase supplies with the help of existing phase supply. The

development of this system will be achieved by using microcontroller which can be programmed by using

embedded. Microcontroller 89c51 is then coupled with inverter by using driver circuitry. With the help of

this system load is instantly disconnect from mains under single phasing condition. The advantage of

using this protective approach over the previous one that made the use of four pole two way switch which

has high sensitivity to voltage unbalance. If we go to have a three-phase inverter, which is available in

market the cost of it is more. So, here is an attempt made to have single phase to three phase inverter with

appliance protection and live phase selection, which saves money up to great extent.

Parameter Monitoring and Control of Bank Record Room using Embedded

System

Joshi Dharini Damodar, Prof. K. Sujatha

[email protected]

SHREE RAMACHANDRA COE [096]

ABSTRACT


Bank is a one of the example of institute that using information technology in its daily task to fulfill the

organization and customers need. Thus bank has its own system to insure their transaction works the way

it is and prevent any activity that could cause lost to the organization and its clients and all customers.

System used sensors which are used in daily applications in order to reduce the human need in banks. In

our paper some sensors are used to satisfy the human needs. Bank record room weather monitoring plays

an essential role, so the collection of information about the temporal dynamics of weather changes is very

essential. In any bank record room during certain hazards it is very essential to monitor weather. This

paper proposes a GSM module; it is a very effective and accurate technique to transmit useful

information. That Information contains the parameters such as temperature and humidity of the medium.

The system use wireless sensor network.

A Novel Technique to design low energy consuming 9T SRAM cell

Sawant Varsha Tanaji, Prof. (Dr.) K. Sujatha

[email protected]


ABSTRACT

This paper proposes a novel SRAM cell with 9T that uses a read-decoupled access buffer and power-

gating transistors which helps in efficient read and write operations. The error immunity is achieve by bit

interleaving for SRAM cell having 9 transistors and also uses column based virtual VSS signal to

eliminate bit line discharges to reduce the energy consumption in the unselected columns. This SRAM

can be used in 45 nm to achieve read stability yield. Here the cell acquires 40 % & 20 % less energy per

read & write operation at minimum operating voltage.

Hybrid single Bit Low - Power High Speed Full Adder

Gaikwad Sachin Pandurang, Prof. (Dr.) K. Sujatha

[email protected]


ABSTRACT

We present high speed low power full adder cells that lead to have a reduced power-delay product

(PDP).We carried out a comparison against other full-adder structure as having low PDP, in terms of

speed, power consumption and area of cells. This paper contains, a hybrid 1-bit full adder design

employing both complementary metal-oxide semiconductor (CMOS) and transmission gate logic styles.

First we implemented design for 1 bit then extended it for 32 bit also. The circuit is implemented using

Tanner EDA tools in 125nm technology. The circuit parameters such as power, delay, and layout area

were compared with the technology and compared with the existing designs such as complementary pass-


transistor logic, transmission gate adder, transmission function adder, hybrid pass-logic with static CMOS

output drive full adder, and so on. In comparison with the existing full adder designs, the present

implementation more significant improvement in terms of power and speed.

Implementation of a High-Speed and low complexity FPGA using RSD Based

ECC Processor

Koparde Abhay Arvind, Prof. (Dr.) K. Sujatha

[email protected]


ABSTRACT

In this paper, an exportable application-specific instruction-set elliptic curve cryptography processor

based on redundant signed digit representation is proposed. The processor employs extensive pipelining

techniques for Karatsuba-Ofman method to achieve high throughput multiplication. Furthermore, an

efficient modular adder without comparison and a high throughput addition/subtraction, which results in a

short data path for maximized frequency, are implemented. We have proposed a novel recursive

decomposition algorithm for addition to obtain high-throughput digit-serial implementation. The

synthesis results for field programmable gate array (FPGA) and application specific integrated circuit

(ASIC) realization of the proposed designs and competing existing designs are compared. The processor

supports the recommended NIST curve P256 and is based on an extended NIST reduction scheme. The

proposed processor performs single point multiplication employing points in affine coordinates in 2.26

ms and runs at a maximum frequency of 160 MHz in Xilinx Virtex 5 field-programmable gate array.

Remotely operated pesticide sprayer robot in Agricultural field

Shubhangi Balasaheb Londhe, Prof. (Dr.) K. Sujatha

[email protected]


ABSTRACT

Despite the focus on industrialization, agriculture remains a dominant sector of the Indian economy both

in terms of contribution to gross domestic product (GDP) as well as a source of employment

to millions across the country. Agriculture plays a vital role in the Indian economy. Over 70 per cent of

the rural households depend on agriculture as their principal means of livelihood. But an attack of pest in

crops is one of the major problems to reduce the production growth in agriculture field. To deal with this

kind of problem diagnosis of crop disease is very essential. This paper presents an engineering solution to

tackle this kind of problem in which an automatic pesticide sprayer is involved to spray the pesticide to

the localized area of the affected crops. This system is based on sprayer filled with pesticides. The


Sprayer movement is controlled by DC motor at low velocity, up & down direction according to plant

height. The design deals with three modules image capturing, processing and automatic pesticide

spraying. The proposed system can remotely operate through any electronic device like mobile, laptop

etc.

Patterned Fabric Defect Detection Using Regular Band And Distance

Matching Function

Sarojini Ganapati Naik, Prof.M.S.Biradar

[email protected]


ABSTRACT

In traditional fabric defect detection System, Visual inspection of by human being was time consuming,

inefficient and costly method. So in order to overcome this drawback, the fast and cost efficient automatic

pattern fabric inspection method are introduced. Also, researchers encountered difficulties in the

inspection of pattern fabric because the fabric has repetitive units on its design and texture complexity. In

this paper, a patterned fabric defect detection method using distance matching function and the Regular

band is proposed. The distance matching function is used to find a horizontal and vertical period of a

repetitive unit of a patterned fabric. The regular band method is used for the regularity analysis of the

patterned texture. Regularity analysis is spatial relationship between intensity values.The results obtained

from the regular band are compared with direct threshold and Bollinger band method and the performance

analysis shows that Regular band + distance matching function performs better than previous methods.

Synthetic Speech Spoofing Detection using MFCC and SVM

Sonawane Anagha Vasant, Prof.M.U.Inamdar

[email protected]


ABSTRACT

In the recent times synthetic voice is used to deceive a speaker recognition based biometric access

systems. This paper presents synthetic speech detection in automatic speaker verification system (ASV)

for spoof detection. Canonical Mel Frequency Cepstral Coefficients (MFCC) algorithm is used for feature

extraction and Support Vector Machine (SVM) is used for classification of natural and synthetic voice.

Several experiments are carried out on ASVspoof 2015 database, showing that nonlinear SVM performs

better than linear SVM.


Automatic Glaucoma Screening Using Superpixel Segmentation

Joshi Manisha Ramakantrao, Prof.V.S.Bhatlawande

[email protected]


ABSTRACT

Glaucoma is an irreversible chronic eye disease that leads to vision loss. As it can be slowed down

through treatment, detecting the disease in time is important. However, many patients are unaware of the

disease because it progresses slowly without easily noticeable symptoms. Currently, there is no effective

method for low cost population-based glaucoma detection or screening. Scanning laser ophthalmoscopes

(SLOs) can be used for early detection of retinal diseases. With the advent of latest screening technology,

the advantage of using SLO is its wide field of view, which can image a large part of the retina for better

diagnosis of the retinal diseases. On the other hand, during the imaging process, artefacts such as

eyelashes and eyelids are also imaged along with the retinal area. This brings a big challenge on how to

exclude these artefacts. In this paper, we propose a novel approach to automatically extract out true retinal

area from an SLO image based on image processing and machine learning approaches. To reduce the

complexity of image processing tasks and provide a convenient primitive image pattern, we have grouped

pixels into different regions based on the regional size and compactness, called superpixels. The

framework then calculates image based features reflecting textural and structural information and

classifies between retinal area and artefacts.

Homogeneity Analysis For Defect Detection in Fabric

Kure Namita Uttam, Prof.M.S.Biradar

[email protected]


ABSTRACT

Surface defect detection algorithm based on local neighborhood. A local neighborhood window slides

over the entire inspection image, and the coefficient of variation is used as a homogeneity measure. When

LHM value of a pixel is above the threshold, judging it belongs to the defective region. If local

homogeneity measure (LHM) value is less than the threshold value, it is determined that it is defect-free

region. Choosing control variable threshold is very important. If you select a smaller, may generate

pseudo defects and noise in the segmented defect image. If you select a larger, it may be cause defect

detection incomplete, and even defect missed detection.


Unidirectional Visible Light Communication for Internet-of-Things Devices

Harsh P Gandhi, Prof. M.U.Inamdar

[email protected]


ABSTRACT

Visible light communication has attracted interests in many fields partly due to widespread commercial

availability of LED lights and partly due to limited bandwidth available on radio communication. It is

even more effective for Internet-of-Things(IoT) devices which require very less bandwidth but still need

to remain connected all the time. In this paper, we propose a method for implementing a unidirectional

Visible light based communication using commercial LED bulbs and at the same time, providing flicker-

free illumination. In this paper, we go through the range of with respect to the distance between

transmitter and receiver.

Design and Implementation of Voice and Motion controlled Autonomous

Drone

Pritesh Metha, Prof. M.U.Inamdar

[email protected]


ABSTRACT

Voice and Motion controlled Autonomous Drone controlled by Radio frequency communication. The

purpose of this project to explore the available technologies to control drones and distinctive means in

which they are used to support enhanced voice command and control of drones. Voice command and

Motion Sensor Data are mapped to both significantly increase the Human and drone interface. Algorithm

written inside flight controller allows to receive voice command and motion sensor data through Radio

Receiver and concerted to achieve an aim or deal with respective command. This project is broken in to 2

task: Implementation of Voice Recognition and Motion detection and Design of Autonomous Drone.

EEG-Based Attention Tracking during Distracted Driving

Tambat Vilobh Vilas, Prof. M. U. Inamdar

[email protected]


ABSTRACT


The key work of the project is analyzing the brain signals. Human brain consists of millions of

interconnected neurons. This neuron pattern will change according to the human thoughts. At each pattern

formation unique electric brain signal will form. If a person is took alcohol with abnormal condition then

the attention level brain signal will get changed than the normal condition. This project work uses a brain

wave sensor which can collect EEG based brain signals of different frequency and amplitude and it will

convert these signals into packets and transmit through Bluetooth medium in to the level splitter section

to check the alcoholic level of the person. Level splitter section (LSS) analyze the level and gives the

abnormal driving alert and keeps the vehicle to be in self controlled function until awaken state and sends

the information to the control section through mobile communication .

Real Time Wireless Sensor Network for Landslide detection Using ARM 9

Controller

Ramesh Vasantrao Sutar, Prof. M. U. Inamdar

[email protected]


ABSTRACT

Wireless Sensor Network is one of the most promising fields and has innumerable applications in the real-

time systems. Implementation of WSN in real-time system for landslide detection and warning system is

discussed in this paper. Sliding of rocks and soil is called landslide. It is triggered mostly because of

heavy rainfall or melting of snow and can cause loss of lives and property. Using real-time monitoring the

landslide can be detected and with the help of suitable warning system people can be warned. The system

monitors the changing geo-technical condition using various geo-technical sensors like soil moisture

sensors, weight sensor, and tilt meter. This paper also touches upon the aspects of data transmission over

Global System for Mobile Communication (GSM) to a remote data center.For this system we proposed

the use of LPC1768 ARM microcontroller, Zigbee & Bluetooth for warning system.

Automated Fabric Defect Detection Based on Multiple Gabor Filters and

KPCA

Bhilare Sushant Balasaheb, Mrs. M.S. Biradar

[email protected]


ABSTRACT

A new detection approach is proposed to detect various uniform and structured fabric

defects based on the multiple Gabor filters and Kernel Principal Component Analysis.


First of all, images are filtered by multiple Gabor filters with six scales and four

orientations to extract feature vectors. After that, the sub-blocks divided from the feature

vectors have been fused and the high-dimension data can be reduced by using Kernel

Principal Component Analysis. Finally, the similarity matrix is calculated by Euclidean

norm and segmented with OTSU threshold method. The experiment has been done by

integrating hardware and NI LabVIEW graphical programming language. Experimental

results show that proposed algorithm improves feature extraction capability significantly

and has high recognition rate

Spectrum Occupancy Measurement Modeling and Comparison

Suryawanshi Snehal A, Dr.K.P.Patil

[email protected]


ABSTRACT

Present wireless communication methods allow limited choice of operating frequency of the wireless

devices. Cognitive radio is the answer to the problem of underutilization in the spectrum. Researches have

proved that a large part of current licensed spectrum is inefficiently used. In this paper we have conducted

spectrum measurements and analysis for indoor and outdoor locations in urban area of Pune city for the

frequency band of 700 MHz to 2.7 GHz. These measurements provide an effective evidence that

occupancy is very low in some bands which can be used by the spectrum regulators while implementing

the Cognitive allotments methods

Detection of Red Lesions from the Retina of Diabetic patients

Geeta Govind Unhale, R.P.Borse

[email protected]


ABSTRACT

For the detection of retinal lesions in fundus images automation is necessary. The method included in this

paper is very useful for detection of microaneurysms and hemorrhages in fundus images. In this method

the dynamic shape features are used for detection of red lesions in the fundus images in which

segmentation is not needed [7]. During image flooding shape features are evolved and differentiated

between red lesions and vessel segments. Diabetic retinopathy is very common disease seen in the

diabetic patients and as the number of diabetic patients may increase day by day, so regular examination

of eyes of diabetic patients is necessary. Automation helps ophthalmologist in detection of the retinal

lesions and thus it automatically reduces the burden on ophthalmologist .The databases used are Messidor


,Erlangen, CARA 143,CARA1006,ROCh etc. It also consist of Bright lesions like exudates and cotton

wool spots[1]. The method included in this paper does not include segmentation so that it reduces false

dection of lesions ,so that accuracy get increased.

Clinical depression detection in adolescent by face

Prajakta Kulkarni, M.M.Patil

[email protected]


ABSTRACT

Showing emotions is a habit of every human. The emotions may be happy, sad or any other. Sometimes

due to stress person become sad and when that state of stress prolong more than a week , person may

cause a depression. If that depression state remains undetected ,It may give some serious effect on human

health. Hence due to stressful day to day routine, stress become a cause of depression and the detection of

depression becomes an important part. According to the World Health Organization (WHO), 350 million

people worldwide suffer from depression. It is a leading cause of disability. Hence detection of depression

in its early stage is important.

We implement the method for detection of depression in adolescent. By applying Fisher vector encoding

and local tetra pattern the method of detection of depression is implemented. With the help of this

algorithm depression can be detected without physical presence of doctors. This algorithm not only gives

the severity of depression but also gives the result of â€˜depressed’ or â€˜not depressed’. The database is

used from AVEC 2014. For feature extraction Local tetra pattern(LTrP) algorithm is used. After

extracting the features of face, fisher encoding is computed. Which will give a classification result ,that is

â€˜Depressed’ or â€˜Non depressed’.

CLINICAL DEPRESSION DETECTION FOR ADOLESCENCT BY

SPEECH FEATURES

Pallavi Parekh, M.M.Patil

[email protected]


ABSTRACT

Depression is a common mental illness with a prevalence of 10-15% in general population. It is a

debilitating condition which can cause physical and psychological symptoms and lead to social and

functional impartment. Depression affects a persons psychosocial function and can eventually lead to

family problems,problems in social life and loss of job.The increase in the prevalence of clinical

depression in adolescents (i.e., those aged 13-20 years) has been connected to a scope of genuine results,


especially an expansion in the quantity of suicide endeavors and passing’s, making it a general wellbeing

concern. Indications of depression often first appear during adolescence at a time when the voice is

changing, in both males and females, recommending that particular investigations of these marvels in pre-

adult populaces are justified. The TEO-based features clearly outperformed all other features and feature

combinations, giving characterization precision going between 81%-87% for guys and 72%-79% for

females. Clinical depression belongs to the group of affective (mood) disorders in which emotional

disturbances consist of prolonged periods of excessive sadness marked by decreased passionate

expression and physical drive. Results were gotten by joining TEO features with glottal features (81%-

87%)). These discoveries demonstrate the significance of nonlinear instruments related with the glottal

stream arrangement as signals for clinical depression.

Recommendation Based Advance Driver Assistance System: using Raspberry

Pi

Pathan Kamran Ahmed, Minakshee M. Patil

[email protected]


ABSTRACT

This paper presents a Recommendation Based Advance Diver Assistance System that helps to reduce

shockwave formation which cause traffic jams on highways. Due to the reduction of shock wave

travelling upstream there will bedecrease in pollution caused by traffic jams in-turn fuel efficiency of the

vehicle will increase. This also reduce fatigue level of thedriver as an added benefit. The system consists

of Raspberry Pi 3 Model B kit with Wi-Fi and Bluetooth enabled. Serial GPSreceiver to get the current

location of the vehicle. For demopurpose a dummy vehicle has been created, it is controlled viaBluetooth

LE enabled smart phone. It has Hall Effect sensorto calculate the speed, Optoisolator and motor driver

circuit todrive the demo vehicle. This system will recommend the drivera speed range which he needs to

maintain so that he does notfaces traffic jam ahead. This speed recommendation is generatedbased on the

traffic scenario ahead that is communicated byvehicles equipped with such systems ahead of it. The

systemuses Macroscopic and Microscopic traffic models to calculate thespeed recommendations based on

the density gradient betweenthe two communicating vehicles.

Emotion Recognition of Optimized Features by using various distances in

KNN Classification and customized SVM Classification of Facial Expressions

Madhuri Thakare, V. D.Bharate

[email protected]



ABSTRACT

This research aim at developing the humanoid soft-ware technology which can interface with human

intellectual system. The main objective of the research is to generate the more accurate automated system

for the emotion recognition by using the still images. The five basic emotions such as happy, sad,

surprise, fear, neutral has been recognized in this researched. Firstly the three techniques are used for the

feature extraction from facial expression, that are Histogram of Oriented Gradient, Gabor Filter, Discrete

Cosine Transform for obtaining more accurate features from the still images stored in database. Secondly

the paper aim at the customized classification of the features by using the KNN classification with

comparison of various distances such as Euclidean, cosine, city-block, correlation distance for more

accurate and optimal results which are used in KNN classification and SVM classification .The accuracy

obtained with KNN classification is 68% where as with the more advanced technique SVM classification

we obtain 78% of accuracy.

High efficiency electrical power supply system for satellite

Rameez Mulla, Dr. P.N. Shinde

[email protected]


ABSTRACT

The temperature & isolation level is inversely proportional with PV voltage and directly with PV open

circuit voltage. The voltage factor depends on cell material and manufacturing but is usually fixed for

temperature and isolation. This remarkable property is used to achieve temperature and insolation

independent MPPT of satellite’s solar cells with a simple and reliable technique. Microcontroller

continuously measures the open circuit voltage and also calculates maximum power operating point of the

system. The MPPT is designed and constructed with the solar array as input and the boost converter. The

battery weight and solar array is downsized as the efficiency of the power supply is increased which is an

important designing factor for satellite. The control schemes are integrated and the efficiency is validated

by testing itwith various Resistive load. In hardware Open Loop Multilevel Inverter based on PIC16F77A

output results are showed in the CRO/DSO.

Body Composition Analysis Using Various Anthropometric Equations

Archana Pawar, D. K Kamat

[email protected]


ABSTRACT


Bioimpedance measurement is non-invasive method used for body composition measurement. In order to

measure impedance of human body constant amplitude of current is injected into tissues. AFE4300 is a

low cost impedance spectrometer, developed by Texas Instrument. It contains two chains one is used for

weight scale measurement and other for body composition measurement. Only one chain is activated at

same time and other remains in off state. With the help of this impedance spectrometer it is possible to

perform FWR and I/Q demodulator. Single frequency measurement is done using FWR and Multi-

frequency measurement is done using I/Q demodulator. Single frequency measurement is done at 50

KHz, multi-frequency measurement is done at 8 KHz, 16 KHz, 32 KHz, 64 KHz and 128 KHz etc.

AFE4300 is new impedance spectrometer used to perform body composition, allow foot-to-foot

impedance measurement. With the help of AFE4300 EVM-PDK kit we can measure the various body

compositions parameters after that body composition analysis is done through various anthropometric

equations.

EYE GAZE TRACKING SYSTEM

Anita Pilaji Ghode, R.U.Yawale

[email protected]


ABSTRACT

Eye Gaze tracking and Detection is most important area in past years is research field and very useful in

variety of applications. Eye gaze tracking method is useful for physically disable people with loco-motor

disabilities who can not able to do their day to day activities due to their disability. Primary goal of

project is to find out the gaze point, then communicate this gaze point for motion of an object. Here we

use wheelchair as an object to be controlled by the eye gaze movement.

In Proposed system eye movement detection is take place by head mounted camera, output of

camera will be process to find gaze point the corresponding control signal send to motor driving circuit

which control the movement of wheelchair according to eye movement of person.

Performance evaluation of wireless communication system over different

fading channels.

Shreyasee Chougule, Dr.K.P.Patil

[email protected]


ABSTRACT

In wireless communications, fading is variation of the attenuation of a signal with various variables. This

paper presents Bit Error Rate (BER) performance of Orthogonal Frequency Division Multiplexed signal


under different fading channels in 16 QAM modulation scheme. OFDM is a method of encoding digital

data on multiple carrier frequencies. QAM is a signal in which two carriers shifted in phase by 90Âº are

modulated. A comparative study is carried out to obtain the BER performance for OFDM under various

fading channel condition to identify that which channel gives the best BER performance.

Simulation and Implementation of MIMO-OFDM System with STBC using

GNU Radio and USRP

Gauri Pandit, Dr. K.P. Patil

[email protected]


ABSTRACT

The combination of two technologies Multiple input multiple output (MIMO) and orthogonal frequency

division multiplexing (OFDM) can cater very high rate data transmission. MIMO provides increased

diversity gain without increasing the transmitting power whereas OFDM provides high data rates as it is a

solution for Inter Symbol Interference (ISI) caused in dispersive channels. Here, in this paper the system

performance of MIMO OFDM with Space time block coding (STBC) system is simulated using GNU

radio software, plotting diagrams of received symbols with and without noise, the FFT and waterfall

diagram. BER of the 2X2 MIMO OFDM system is measured and compared with theoretical BER results.

Also, OFDM system is implemented on USRP bus series using GNU Radio software and the results are

evaluated

Analysis and classification of EMG signal for controlled multifunctional

prosthetic hand.

Shinde Nikhil G, R.B.Kakkari

[email protected]


ABSTRACT

The main aim of the project is to create a cost effective prosthetic arm controlled by the surface EMG

signals which would facilitate the differently able with arms that they would love to get. To serve

differently able fellow beings by harnessing technology is our motto. The designed prosthesis is based on

the real-time learning method and the proposed real-time scheme consists of four basic units. They are

signal acquisition and pre-processing unit, feature vector extraction Unit, Pattern classifier unit and the

real-time trainer unit. The SEMG signals which originate from the residual muscles have low amplitude

of 100 Î¼v for moderately contracted muscles. The SEMG signals are amplified and then band limited to


bring it in the amplitude range of 1-10v, the signals are finally rectified to convert it into a dc signal. The

process of acquisition and processing is done by the pre-processing unit. The Feature vector unit

processes the signal and the feature vectors are extracted. Once the feature vector set is formed, it is fed to

the pattern classifier unit, where the neural network is employed for the non-linear mapping of the feature

vector to a control command. For learning the user characteristics, neural network uses the back

propagation algorithm. In order to get the exact mappings, the weights of the neural networks are

modified by real-time trainer unit which employs real-time learning. The process is repeated until the

control command generated is similar to the teacher vector from the user or the RMS value of the error is

reduced below the threshold value. Once the neural network is trained, it outputs the control command;

normally binary values are used to control the Prosthesis. The arm is driven through a set of motors

(either stepper or servo motors). The control commands are fed from the processing unit which controls

the motors which in-turn control the movement of the arm. Our design of prosthetic arm has one degree

of freedom and hence two actions can be carried out the former grabbing an object and the latter releasing

the object. The clockwise rotation of the motor will perform an action and the anti-clockwise rotation will

perform the second action. In this work, one degree of freedom is considered. This design will serve the

amputees and the same design can be extended to higher degrees of freedom similar to the human hand.

Design and Development of Vehicle Tracking and Monitoring System

Snehal Uttam Mahamulkar, R.U.Yawale

[email protected]


ABSTRACT

India is the second most populous Country in the World and is a fast growing economy. It is seeing

terrible road congestion problems in its cities. Infrastructure growth is slow as compared to the growth in

number of vehicles, due to space and cost constraints. Nowadays, people expect more than vehicle quality

and reliability. With the rapid development of information and communication technologies (ICT),

equipping automobiles with wireless communication capabilities is expected to be the next frontier for

automotive revolution.

An advanced vehicle monitoring and tracking system is designed for monitoring the vehicle from any

location A to location B at real time and provide safety environment to the traveler. The proposed system

would make good use of new technology that based on Embedded Linux board namely Raspberry Pi and

its advanced feature of storing database at real time.

The proposed system works on Global Positioning System (GPS) and Global System for Mobile

Communication (GSM) which is used for vehicle tracking and monitoring mechanism. The GPS gives

current location of the vehicle and the GSM is used for sending alert message to vehicle’s owner mobile.

The proposed system would place inside the vehicle whose position is to be determined on the web page

and monitored at real time. Also if the vehicle’s speed goes beyond the specified value of the speed, then

also the warning message will be sent from system to the owner mobile. All this information is stored on

the web page at client or owner side.


This system also features main attractive part that is automatic upper dipper system. System also uses

anti-theft system, it provides security before someone tries to steal it.

Main objective is to design a system that can be easily installed and to provide platform for further

enhancement.

Efficient Multiplier Desgin For DSP Application

Poonam Popatrao Kokate, Prof. V.G.Raut

[email protected]


ABSTRACT

To propose a reliable low-power multiplier design by adopting algorithmic noise tolerant (ANT)

architecture with the fixed-width multiplier to build the reduced precision replica redundancy block

(RPR). The proposed ANT architecture can meet the demand of high precision, low power consumption,

and area efficiency. To design the fixed-width RPR with error compensation circuit via analysing of

probability and statistics. Using the partial product terms of input correction vector and minor input

correction vector to lower the truncation errors, the hardware complexity of error compensation circuit

can be simplified. In a 12 Ã— 12 bit ANT multiplier, circuit area in our fixed-width RPR can be lowered

and power consumption in our ANT design can be saved as compared with the state-of-art ANT design.

High Performance VLSI Design Of Variable Latency and Aging Aware

Multiplier Using Adapative Hold Logic

Pratik Gurudas Chunarkar, Dr. M.B.Mali

[email protected]


ABSTRACT

High speed and low power consumption is one of the most important design objectives in integrated

circuits. Digital multipliers can be categorized into critical functional units. Throughput of multiplier

design provides the overall performance of these system. Aging problem of transistors of these systems

has a significant effect on performance and in long term, the system may fail due to violations of timing.

Hence in this paper for reduction in maximum delay and power consumption, technique as design of

variable latency multiplier with adaptive hold logic is used. With proposed design of variable latency, the

multiplier gives higher throughput and can adjust the AHL circuit to diminish degradation of

performance that is due to the aging effect. Based on the idea of adaptive hold logic and razor flip flop,

the timing violations are reduced. With variable latency , clock cycles re-execution has been reduced.


Autonomous Indoor Robot Using Vision And Simultaneous Localization And

Mapping

Amrutha Dilip Salunkhe, Prof. M.N.Kakatkar

[email protected]


ABSTRACT

The problem of Simultaneous Localization and Mapping (SLAM) has attracted many researchers in the

field of indoor wireless mobile robotics. Localization, map building and wireless communication are

essential tasks for an autonomous mobile robot's in unknown environments. In general, SLAM algorithms

use odometers information and measurements from sensors of robots. The accuracy of these

measurements and the performance of the corresponding SLAM algorithm directly affect the overall

success of the system. Simultaneous Localization and Mapping is a strategy that utilized for making a 2D,

3D map of an unfamiliar environment from the sensor's information which will make the task of knowing

the position of the robot and the position of the different obstacle. Robot Mapping includes producing a

profile of obstacles around the robot. Through mapping, the robot will have a vision of the surroundings.

Localization is the process of estimating a pose of the robot relative to the map we build .Simultaneous

update of robot pose and linear feature estimates is performed through hybrid algorithm and this can be

achieved by comparing the most important solutions in position. Vision based features extraction

algorithm applies a rejection technique to concentrate on a reduced set of distinguishable, stable features

to make the data association easier and furthermore to reduce the number of landmarks to increase

computational speed and accuracy. It is intended to implement the proposed SLAM by hybrid algorithm

and vision based feature extraction algorithm using low cost Microsoft Kinect sensor, Arduino

microcontroller as embedded system, IMU, Laptop and Robot operating system to verify the feasibility of

the proposed methods as a indoor wireless mobile robot communicating with various indoor devices.

RSD Based Elliptical Curve Cryptography

Ashish Shrimant Yadav, Prof. M.M.Jadhav

[email protected]


ABSTRACT

Cryptography is the practice and study of hiding information. The present challenges in the field of

cryptography are information security, confidentiality and data integrity. Elliptic Curve Cryptography is

based on the algebraic structure of elliptical curves over finite field. Redundant signed digits reduce the

overhead due to computations. A Karatsuba-Ofman algorithm is used for multiplication. An efficient

modular adder without comparison and a high throughput modular divider, which results in a short


datapath for maximum frequency, are implemented. The architecture consists of control unit, instruction

set and ROM are the basic elements. This helps in increasing speed and reduces the computational

overhead. The encryption-decryption algorithm consists of 256 bits. The result is compared with NIST

databases. The ZYBO board is used for the implementation purpose as it is feature-rich and efficient for

real time application.

Real Time Image Stablization For FPGA Driven Mobile Robot

Snehal Annasaheb Shimpukade, Prof. S.C.Badwaik

[email protected]


ABSTRACT

Mobile robots are used in crisis to get important informatics. The robots commonly convey a dream

framework to assemble data about the earth and pass on to remotely found protect groups. At the point

when the robot moves, in perspective of the uneven way of the territory, the camera is subjected to

vibrations and therefore, the transmitted recordings have a tendency to be hazy. Further, continuous

information gathering and preparing are basic for fast activity by protect faculty. In this project work, we

will investigate a strong and elite approach for video adjustment. Specifically, we build up a systolic

exhibit for intrigue point recognition and depiction, enter stages in the speeded-up strong components

(SURF) approach for discovering point correspondences between two pictures of a scene. The systolic

exhibit is then utilized as a major aspect of a pipelined engineering for video adjustment. The whole

engineering will be deployed on to a field-programmable gate array (FPGA) for constant video

adjustment on a versatile robot.

Learning Human Emotion From Body Gesture During Social Human Robot

Interaction

Diksha Arvind Shende, Dr. R.S.Kawitkar

[email protected]


ABSTRACT

For social robots to be successfully integrated and accepted within society, they need to be able to

interpret human social cues that are displayed through natural modes of communication. In particular, a

key challenge in the design of social robots is developing the robot’s ability to recognize a person’s

affective states (emotions, moods, and attitudes) in order to respond appropriately during social human-

robot interactions (HRIs). It present and discuss social HRI experiments is conducted to investigate the


development of an accessibility aware social robot able to autonomously determine a person’s degree of

accessibility (rapport, openness) toward the robot based on the person’s natural static body language.

Design and implementation of microcontroller for IoT application

Anuradha Murlidhar Nimase, Dr.D.M. Bhalerao

[email protected]


ABSTRACT

One of the buzz word in the Information Technology is Internet of Things (IoT). In future IoT will

transform the real world objects into intelligent virtual objects. IoT aims to unify everything in our world

under a common infrastructure, giving us not only control of things around us, but also keep us informed

of the state of the things. Sensor node comprises of sensor, microcontroller and RF transceiver. A

microcontroller is a computer present in a single integrated circuit which is dedicated to perform one task

and execute one specific application. It contains memory, programmable input/output peripherals as well

a processor. Microcontrollers are mostly designed for embedded applications and are used in

automatically controlled electronic devices. Microcontrollers and field programmable gate arrays

(FPGAs) both are widely used in digital system design. Microcontroller based devices are becoming

increasingly widespread. On one hand, high speed, power and falling prices make them an obvious choice

whereas fast growing popularity of FPGAs, the availability of powerful development tools and the

increase in speed and high density have made FPGA-based systems an alternative choice Sensor node

controller is going to develop using VHDL with behavioral modeling which is an abstract model of

controller and break down of the system into subcomponents and functional blocks.

Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing

For Advance Communication Network Using MARKOV Chain Technique

Gauri Babanrao Maske, Prof. S.B.Mule

[email protected]


ABSTRACT

On increasing demand of better communication Multiple Input Multiple Output Orthogonal Frequency

Division Multiplexing (MIMO-OFDM) is a novel multicarrier transmission technique which has been

proposed recently as an alternative to classical MIMO-OFDM. In this scheme, OFDM concept is

combined with MIMO transmission to take advantage of the benefits of these two techniques. Maximum

likelihood (ML), Minimum Mean Square Error (MMSE) of MIMO-OFDM are proposed and their

theoretical performance is presented for the implementation of 5G wireless networks. Knowing the


possible channels that can be present in a transmission channel and applying Markov chains, it is possible

to implement a more realistic channel. This paper, based on project presents different scenarios in

suburban areas using Markov chain Technique.

High Performance CMOS Operational Transconductance Amplifier Using

Adaptive Bias

Aniruddha Narendra Bhokare, Dr. M.B.Mali

[email protected]


ABSTRACT

The trend for battery-operated electronic equipment increased the importance of low-power circuit

design.Transistors operating in sub-threshold region consume less power and implementation of

operational amplifier using these transistors is crucial task. Full rail to rail input operation is achieved by

differential pair with complementary input configurations. A Class AB stage is employed to provide high

DC gain with very low power consumption. Adaptive bias circuitry of two level shifter is used to

increase the slew rate. All the transistors in the circuitry are biased in sub-threshold region Common

mode feed forward (CMFF) circuit is used to enhance the CMRR of operational transconductance

amplifier. This paper based on project presents operational transconductance amplifier (OTA) designed in

LTSPICE using 90nm DSM technology operating at low voltage 0.4V.

Last Meter Smart Grid Embedded In An Internet-Of-Things Platform

Narendra Kumar Rajwade, Dr. S.D.Lokhnde

[email protected]


ABSTRACT

THE LAST-METER smart grid is the portion of the smart grid closer to the home, and the one with

which customers interact. It allows a two-way data flow between customers and electric utilities,

transforming the traditionally passive end-users into active players in the energy market. For working of

this project microcontroller, current sensor, RF module and raspberry pi has been used. The sensor will

collect the data form supply and send it to the microcontroller after that RF module will send the data to

the raspberry pi and through of it control the home appliances. Nontechnical customers need a simple way

to control energy consumption and production, and to exchange power usage data at the proper level of

granularity with energy providers or distributors.


Comparison Of Classifiers Performance For Lesion Detection In Retina

Payal Bhujungrao Nimbhorkar, Prof. S.B.Patil

[email protected]


ABSTRACT

Diabetic retinopathy is complication of diabetic that can lead to vision loss or blindness. So early

detection is important for saving patient vision. An automated screening system for computer aided

screening and grading for diabetic retinopathy can help to reduce the chance of complete blindness.

Fundus images with DR exhibits red lesion such as microneurysm, hemorrages, exdurates and cotton woll

spot. However various schemes for lesion detection appers but the report many false positives. detection.

They report some lesion as non lesion and also system are time consuming. Praposed system focused

exclusively on MA detection which is earliest sign of DR. Classifier such as Asoboost and SVM are

analyzed for classifying retinopathy lesion from non lesion.The main contribution of proposed work is

comparison of classifier with accuracy,sensitivity,specificity.

Graphene Based Component Design

Anant Hari Gambhir, Dr.D.M. Bhalerao

[email protected]


ABSTRACT

Graphene is two-dimensional honeycomb lattice of carbon rings. Graphene is the emerging material in the

field of electronics and nanotechnology. After studying various properties of graphene, researchers

identified that this material would replace Silicon and make devices faster and easier to manufacture.

Generally graphene remains highly stable and conductive even when it is cut into devices one nanometer

wide. In this paper, MOSFET gets introduce in which graphene material is used. The goal behind this is

to compare current-voltage characteristics of graphene MOSFET with generalized MOSFET i.e Silicon

MOSFET. Also study and analysis of various parameters will be done, so that benefits of grapheme over

silicon will come to know.

IOT Based Health Care System

Sneha Narendra Malokar, Prof. S. D. Mali

[email protected]



ABSTRACT

Generally in critical case patients are supposed to be monitored continuously for their Heart Rate, oxygen

saturation level and temperature as well. In the previous methods, the doctors need to be present

physically on sight or in several cases SMS will be sent using GSM. In the earlier case only current data

is displayed, the history of the patient cannot be displayed. In the current paper, with the help of

Raspberry Pi we developed the system and technique used for health care monitoring system where

doctor can continuously monitor the patient's physical parameters like temperature, blood pressure, pulse

oximetery and oxygen saturation level on his smart phone. For the secure data transformation, AES

Algorithm is used. Also the patient history will store on the web server, doctor can access the information

whenever needed from anywhere.

Grain Condition Monitoring And Controlling System

Anita Machhindra Jadhav, Prof. M.N.Kakatkar

[email protected]


ABSTRACT

Today, India ranks second worldwide in agriculture.There is production like rice, sugar, wheat, Bajara

Etc. So we have to monitor and control their quality according to their size, color and chalkiness for the

packaging section. Product value of agriculture product depends on its quality and value. So quality

become dominant factor in the agricultural production. There is system that measure the quality of

product as the testing is done by human, so it is not reliable at the all-time of its working hour because of

the human limits. so we have developed the embedded solution with the help of image processing to do

sorting of grains.Here we can estimate their quality using the simultaneously taking frame and applying

the image processing algorithm for that frame and get results as the quality of the grains.Raspberry PI is

suitable for adaptive technology. For the testing purpose we have selected the rice as the testing product

and testing parameter are the whiteness, size, physical defect and color defect.

Breast Cancer Detection Using Mammographic Images

Amruta Balasaheb Jadhav, Dr. S. R. Ganorakar

[email protected]


ABSTRACT


Cancer is the second leading cause of death in developed countries and the third leading cause of death in

developing countries. One in every eight deaths worldwide is caused by cancer. There is no effective way

to prevent the occurrence of breast cancer. Therefore, as it is well known, early detection is the first

crucial step towards breast cancer diagnosis and treatment.

In terms of medical diagnosis, X-ray mammography is currently the most common technique used in

clinical practice due to its low cost and accessibility. it provides high sensitivity on fatty breast and

excellent performance on micro calcification detection. X- rays are used as diagnostic tool in

mammography for the examination of human breast. These examinations are recorded as specialized

images which are then observed by radiologists for any possible abnormality. It consists of two methods.

One is K-Mean Clustering Algorithm and other one is Fuzzy C-Mean Algorithm.

Data Transmission Using Mobile to Mobile Communication

Jitesh Rajendra Sharma, Prof. M.M.Jadhav

[email protected]


ABSTRACT

Mobile-to-Mobile communication is used for information sharing between end user without involvement

of base station network. The various challenges found in M2M communication is to increase the spectral

efficiency and reduce the communication delay. In this paper an Android base (Tool kit 4.0) application

on Java platform is developed to share information between M2M pairs. This will help to share the user

information using wi-fi or Bluetooth. Further, intelligent user selective resource allocation algorithm is

implemented to avoid interferences between pairs. Finally the result are compared with existing LTE

links. The result obtained shows that total achievable capacity of LTE network is significantly enhanced

by proposed M2M communication.

Interface for Industrial WSN in IoT Environment using A Reconfigurable

Smart Sensor

Akshay Awachar, Prof.P. R. Dike

[email protected]

SINHGAD I.T. LONAVALA, PUNE [42]

ABSTRACT

A sensor interface contraption is fundamental for sensor data collection of present day remote sensor

frameworks (WSN) in IoT conditions. In this paper, to handle these issues, another technique is proposed

to diagram a reconfigurable quick sensor interface for mechanical WSN in IoT condition, in which

complex programmable reason contraption (CPLD) is held onto as the enter controller. The contraption is


merged with the most a la mode CPLD programmable development and the standard of IEEE1451.2

adroit sensor specific. Execution of the proposed framework is confirmed and great impacts are

accomplished in practical utilization of IoT to water condition checking.

Analysis and Simulation Model for Edge Detection on FPGA

Girija Anuse, Prof.S. V. Shinde

[email protected]


ABSTRACT

Edge detection is one of the important stages in image processing. The Sobel edge detection algorithm is

the most widely used edge detection algorithm due to Characteristics. In this Project we extract the shape

analysis by using the Edge detection operators like Prewitt, Sobel and Canny operators.

The software is implemented using MATLAB, also the Sobel edge detection algorithm is implemented

and presented on Spartan3E (XC3S1600E) FPGA by ISE12.1. This paper mainly used the Sobel operator

method to do edge detection processing on the color images. It has been proven by the results we have

obtained that the edge detection mathematical method using MATLAB software and FPGA is very good

in the analysing the image and the results reach to 99%. A 256Ã—256 Gray Scale input image is used in

this work. We demonstrate synthesis benefits using a Sobel Edge Detection algorithm and target a

heterogeneous architecture of Blackfin processor and Spartan3E FPGA. The synthesized solution is 2.68x

faster (and energy efficient) over pure SWexecution. In this project we extract the shape analysis by using

the Edge detection operators like Prewitt, Sobel and Canny operators.

Hardware Employment of an IR-UWB Coordinator Node for WBAN

Applications

Ananta Wawge, Dr. D. D. Chaudhary

[email protected]


ABSTRACT

IR-UWB correspondence frameworks have affected toward turning into documented for Wireless Body

space Network (WBAN) applications as recently. This paper exhibits the advance associate degreed

testing of associate degree IR-UWB organizer hub that comes with an IR-UWB beneficiary front-end and

a Field Programmable Gate Array (FPGA) based mostly controller. The IR-UWB beneficiary front-end

down changes over the high repetition (3.5-4.5 GHz) IR-UWB beats utilizing a liquidizer and a Voltage

Controlled generator (VCO) into effortlessly discernible base band beats. IR-UWB beat synchronization

is actual utilizing the FPGA. The execution of the recipient hub is tentatively assessed by leading Bit


Error Rate (BER) examination for associate degree on-body to off-body correspondence state of affairs.

The BER comes concerning demonstrate that a BER of 10-4 is doable for a variety separation of 1m

utilizing the IR-UWB organizer hub represented during this paper.

Implementation of ARM Processor using FPGA

Shefa Butt, Prof. Pravin Latane

[email protected]


ABSTRACT

These days application particular delicate processor centers are picking up significance for FPGA based

installed application in which client can design the processor according to necessity. The structural

straightforwardness of ARM processors makes them reasonable for low power applications. Equipment

depiction dialects (HDLs) are generally used to develop equipment framework. FPGA gives

reconfigurable stage, so reuse of the outline is a typical practice to enhance the efficiency these days. In

this paper the information handling guidelines of ARM processor areactualized utilizing Very rapid

coordinated circuit Hardware Description Language (VHDL) dialect and confirmed by applying test seat

on Xilinx's Spartan III based FPGA.

Implementation of Digital Filter Application With Lns Mac Unit

Sachin Thakur, Dr. M.S. Gaikwad

[email protected]


ABSTRACT

The logarithmic number structure (LNS) is a viable way to deal with address data in VLSI processors

since its round-off misstep direct takes after that of floating point calculating. LNS diminish the power

spread in banner planning related application, for instance, listening gadget devices, video dealing with

and botch control. This paper presents methodology for low power extension/subtraction in the LNS and

assesses their impact on cutting edge channel VLSI execution. The proposed frameworks can be

connected with co-change based circuits that use interpolators. The results are appeared by evaluating the

power dissipating, eccentrics and execution of a couple FIR channel game plans containing one, two or

four MAC units. Xilinx ISE is used for the multiplication of put and directed VLSI LNS-based

automated.

Keywords -- LNS, MAC, Addition, Subtraction, Field programmable gate array (FPGA).


ECG Signal Noise Reduction Using FPGA

Dipeeka Kalamkar, Prof. S.S. Patil

[email protected]


ABSTRACT

Abstract- Electrocardiogram (ECG) flag is utilized as a part of medicinal and social insurance field to

check the heart beat rate of patient to analyze different sorts of sicknesses. This work expects to execute

choice that fulfills the prerequisite about framework adaptability, versatility, speed upgrade and lower

equipment cost. Already some work is done utilizing MATLAB device yet this work proposes ECG flag

sifting utilizing VHDL. It is seen to have created better sifting outcomes with change in the style of

middle channel. Memory prerequisite is additionally diminished by lessening channel window measure.

Additionally, middle channel is exceptionally productive in evacuating motivations.

Keywords- ECG, QRS, VHDL, Median filter, Savitzky-Golay filter, Averaging filter.

IMPLEMENTATION OF MQTT PROTOCOL USING WIRELESS

SENSOR NETWORK

Gauri Swami, Prof..D.K.Shende

[email protected]


ABSTRACT

The Internet of Things (IoT) is between frameworks organization of various devices like vehicles,

structures and can be embedded with equipment, programming and sensors. The central target is to have

sensors work helpfully without human intercession to pass on new applications, which can accumulate

and trade data over framework. This paper starts giving an audit of IoT and execution of MQTT tradition.

MQTT is a machine-to-machine (M2M)/"Web of Things" system tradition. It was arranged as a to an

awesome degree lightweight appropriate/subscribe illuminating transport. It is open source, clear, and can

be illustrated in such way that, we can without a doubt realize it in introduced contraption based

applications. It is useful for relationship with remote ranges where a little code impression is required and

also framework information transmission is at a premium. Here we have used the sensors like gas sensors

and load sensors for distinguishing proof.

Keywords: IoT, MQTT, M2M, WSN, TCP.


FPGA Implementation of Discrete Wavelet Transform Using Distributed

Arithmetic Architecture For Image Compression

Shruti Mhaske, Prof.P.C.Latane

[email protected]


ABSTRACT

Discrete Wavelet Transform (DWT) is utilized as a part of flag pressure and improvement applications.

DWT could be executed utilizing recursive Finite Impulse Response (FIR) sifting. DWT is an

exceptionally viable investigation device for some pragmatic applications. Because of computational

serious nature as a result of duplicate operations being a piece of, ongoing handling of signs is being an

intense undertaking, as the usage are not advanced. This paper portrays execution of DWT utilizing

Distributed Arithmetic Architecture (DAA) on FPGA gadget and an original thought for usage of

Decimator capacity. The Low Pass FIR channels (LPF) and High Pass FIR channels (HPF) utilized as a

part of DWT are executed utilizing DAA. Reproductions and blends are finished with Spartan 6 FPGA

gadget condition.DAA based DWT framework makes utilization of just LUT cuts. DAA based

framework gives a throughput of 301.761Mbit/s, a metric which limits DAA based DWT to low speed

applications.

Implementation on Garbage Collection System in Smart City using Wireless

Sensor Network

Pushpanjali Singh, Prof. S.S Bhardwaj

[email protected]


ABSTRACT

Fast increment in populace and industrialization has prompted an expansion in every day era of waste in

urban focuses of a few nations which was evaluated to be a large number of tones. This waste is

additionally grabbed by the metropolitan enterprises to at long last dump it in dumping regions and

landfills. Be that as it may, because of absence of assets, insufficient preparation, some waste is not

gathered which postures genuine wellbeing peril to the encompassing condition. The arrangement is the

Garbage gathering framework in savvy city and solid security framework utilizing remote sensor

organize. This paper is an introduction of the outline and execution of an incorporated strong waste

administration framework. The framework expects to adroitly deal with the waste gathering which will in

the long run enhance the territory and have a sound encompassing to live. It remotely screens and controls

the gathering of civil strong waste giving continuous criticism, connecting the district with the group.

Likewise examinations the information and creates enhanced course to gather all the refuse on time and

also spare fuel and cost. Web of Thing will help for legitimate handling of rubbish.


Key words: ARM7 Processor, Ultrasonic Sensor, PIR Sensors, Buzzer.

Single Image Super Resolution using an FPGA

Priya Nachan, Prof. A.A.Labade

[email protected]


ABSTRACT

There is a developing interest from various business and military applications for pictures with regularly

enhancing spatial determination. Nonetheless, there are determination restricting variables inalienable in

all imaging frameworks. Diminishing pixel sizes as well as expanding sensor exhibits are not generally

suitable. Super-Resolution (SR) Image Reconstruction is a picture handling strategy that reestablishes a

high-determination (HR) picture by adding pixel in neighboring network to low-determination picture. As

of late, there has been broad research on powerful SR calculations utilized for post - handling. The

objective of this proposition is to investigate the momentum SR research and plan computationally

proficient SR calculations for ongoing preparing in view of a non-uniform extra approach.

SATELLITE IMAGE COMPRESSION USING CDF BASED LIFTING

SCHEME

Mohini Raut, Prof. Rajendra V Babar

[email protected]


ABSTRACT

Two Dimensional discrete wavelet change (DWT) is utilized as a part of picture and video pressure. The

info picture is required to be decayed into multilevel DWT to accomplish higher pressure proportion. The

multilevel 2-D DWT is being exceedingly calculation serious and memory-escalated, is actualized in

extensive scale incorporation (VLSI) framework to meet the worldly necessity of ongoing applications.

Because of its steadily increasing utilization in high information rate correspondence and capacity,

through convenient and hand-held gadgets, VLSI execution of 2-D DWT is subjected to an arrangement

of inconsistent limitations,the silicon region and power utilization alongside its base handling speed for

constant calculation. A few models have, thusly, been proposed over the most recent couple of years for

imperative driven VLSI execution of 2-D DWT. The outcomes are introduced for the satellite picture.

The proposed technique steps are talked about before. This strategy is technique takes after the wavelet

based JPEG2000 standard. The best PSNR is accomplished is 29.81dB. Itemized investigation of pressure

and the recreation is displayed in this work. The strategy is actualized utilizing Xilinx FPGA.


FPGA Based Impulse Noise Suppression with Reconfigurable Architecture of

Adaptive Median Filter

Shital Nikam, Prof. R. V. Babar

[email protected]


ABSTRACT

The reconfigurable architecture of adaptive median filter with low complex hardware is proposed and the

analysis of results of adaptive median filter and median filter is presented. It is required for removal of

impulse noise mainly salt & pepper noise from digital Images with an efficient development of median &

adaptive median filter. Performance is measured using mean square error (MSE) and peak signal-to-noise

ratio (PSNR) followed by comparisons. The hardware implementation is highly required for real time

execution. For the implementation of AMF Field Programmable Gate Arrays (FPGAs) are widely used

for real time processing where the requirements of time, speed, area, power become strict. The algorithms

of Median and AMF filters are discussed in detail which is followed by FPGA based solutions.

Simulation is done using XILINX platform studio where the implementations utilize on FPGA 3EDK

Board.

64 Bit Multiplier using Vedic Mathematics for DSP Application

Bhagyashree Parkale, Prof. V.V.Deotare

[email protected]


ABSTRACT

In modern days Digital Signal processors are one of the fastest growing segments as it has many

applications in the various fields of engineering disciplines like Audio Signal Processing, Image

Processing, wireless application etc. Like all other processors, a successful DSP processor should have

maximum speed, higher code density and low power. For many DSP application specific processors

speed is the major concerned parameter compared with other useful parameters like area and power. In

the frequently used functions like Fast Fourier Transform (FFT), Discrete Cosine Transform (DCT),

multiplication is the important function carried out internally. When we consider the speed of execution

of these functions, the easiest way for the improvement is to enhance the performance of the multiplier

units. T hus the implementation of fast multiplier will improve the performance of the current processors.

Vedic mathematics based on ancestral Indian Vedas gives a different multiplication algorithm to carry out

fast multiplication. In emerging technological world the data handling capacity is an important factor. So

the implementation of a high end processor can make significant impact in the technological world. T his


paper proposes a new architecture for high end processor which gives better performance than existing

architectures. In this work digital coding is done in Verilog HDL, synthesis of the design is done by using

Xilinx ISE 14.7 and Cadence encounter RTL Compiler. Analysis of implemented digital system is done

by using powerful cadence tool Encounter. Finally in this paper we analyse how speed and area changes

when the number of bits increases.

REAL TIME PARKING GUIDANCE SYSTEM

Pooja Powar, Prof. Rajendra V Babar

[email protected]


ABSTRACT

The objective of this project is to design a real time parking guidance system based on Raspberry pi

microcontroller which also enables use of Internet of things for additional applications. Basic goal of the

system is to detect incoming vehicles in parking area and to upload the information of the same on server

created. The system provides real time information of vacant slots so that the efforts of drivers for finding

empty parking slots are reduced. A raspberry pi board is a heart of the system. IR sensor is used to detect

the vehicles and the information is send to raspberry pi controller and later it is uploaded to a server.

Users will be given a user ID and password and they can access the information through server. This logic

can be extending to display the information of vacant parking slots on a display board at the entrance of

parking area. The system also contains two more security measures which are fire alarm and safety

switch. Fire alarm will sense the change in temperature and after certain point if fire is detected then

buzzer will start and alert message will display on server. For safety switch, if someone in parking area is

in trouble especially any women then they will press the switch and buzzer will start and EMERGENCY

message will display on the server so that related staff will take care of the situation. Also when it will get

dark in parking premises, lights will automatically get turn ON. So basically it is advanced and real time

system with security measures which not only is a parking guidance system but also acts as a basic

security system for parking areas.

DESIGN AND DEVELOPMENT OF ANDROID APP BASED SMART

HOME

Prashant Pawar, Dr. D.S.Mantri

[email protected]


ABSTRACT


Now a days the automation in every field is becoming necessary. The service provider for energy still

uses conventional methods for getting the energy consumed by individual customer. The proposed system

automatically reads the energy consumed and sends it to the service provider using the GPRS with

Internet.

In this paper, we discuss Automatic Meter Reading system using GSM/GPRS. This system is used with

32-bit LPC2148 ARM microcontroller used for reading power consumption and communicates this data

to the central server. In utility center power data processing is done. The communication between central

server and an ARM based embedded system is done with the help of GSM/GPRS. Measurement of static

parameters such as current, voltage and power, bill management are done with the help of power data.

The control system includes relay circuit which are used for disconnection or resume the power supply.

SECURE ONLINE PAYMENT WITH ARM TRUST ZONE

Neha Uday Patil, Prof. P.A.Kamble

[email protected]


ABSTRACT

A fast development in E-Commerce market is found in late time all through the world. With always

expanding prevalence of web based shopping, Debit or Credit card extortion and individual data security

are significant worries for clients, shippers and banks particularly on account of CNP (Card Not Present).

This paper introduces another approach for giving restricted data just that is essential for reserve

exchange amid internet shopping utilizing arrangement of cloud framework with the assistance of

Raspberry Pi ,accordingly protecting client information and expanding client certainty and avoiding

wholesale fraud. The strategy utilizes consolidated use of steganography and visual cryptography for this

reason. The issue with cloud-based arrangements is that servers are profoundly open through the Internet

and hence extensively presented to programmers and malware. In this paper, we outline and execute

Darkroom, a protected picture preparing administration for the cloud utilizing ARM TrustZone

innovation. Our framework empowers clients to safely handle picture information in a protected domain

that anticipates presentation of delicate.

Detection of pothoes and humps on roads to aid drivers

Patil Tushar Dattatraya, A.B. Kanawade

[email protected]

SINHGAD IoTS,NARHE, PUNE [057]

ABSTRACT


The maintenance of the road is one of the major problems in the developing countries. Well maintained

roads contribute a major portion to the country’s economy. Identification of pavement distress such as

potholes and humps not only helps drivers to avoid accidents or vehicle damages, but also helps

authorities to maintain roads. Pothole detection methods have been developed to provide a cost-effective

solution to identify the potholes and humps on roads. It provides timely alerts to a driver which helps

them in avoiding accidents or vehicle damages. Ultrasonic sensors are used to identify the potholes and

humps and also to measure their depth and height, respectively. The proposed system captures the

geographical location coordinates of the potholes and humps using a Global Positioning System (GPS).

The sensed-data includes pothole, hump, and geographic location, which is stored in the Google spread

sheet. This serves as a accurate source of information to the Government Authorities and vehicle drivers.

An Android application is used to alert drivers so that precautionary measures can be taken to evade

accidents. Automatic detection of potholes and hums is done using Raspberry Pi - 3. Alcohol sensor,

temperature sensor, fuel sensor data is in analog form. It is converted into digital value by using MCP

3204 ADC. These sensor values are display in web page of Raspberry Pi.

Wireless Power Transfer surpassing Efficiency

Ruta Dilip Shewale, Upasani D.E.

[email protected]


ABSTRACT

Wireless Power Transfer (WPT) is nowadays visible to us in many different areas of technology and in

many different forms and types. The technological areas vary from the crucial biomedical technology to

commercial products such as wireless electric vehicle, wireless charging units and many more. Wireless

transmission is useful in cases where instantaneous or continuous energy transfer is needed but

interconnecting wires are inconvenient, hazardous, or impossible. The wireless energy transfer gets

unique in its area of technology because of its efficiency which is the most important parameter under

consideration. This makes the wireless energy transfer different from other information transfer methods.

Wireless power systems for near field energy transfer, are typically classified as either inductive or

resonant. The wireless power transfer surpassing efficiency is the optimum technique to transfer the

power wirelessly and power up the low power devices such as Mobile phones, small fans, and any micro

controller unit. The wireless power transfer method includes a transmitter unit with an output coil which

transfers energy wirelessly to the receiver which will charge the low power devices.

Smart Grid in Internet of Thing Platform

Shaikh Asif Ismail Shaikh, S.P. Dhanure

[email protected]



ABSTRACT

An electricity meter, electric meter, or energy meter is a device that measures the amount of electric

energy. Accurate metering, detection of energy theft, implementation of proper tariff, energy management

as well as automatic billing systems are the major objectives of the project. These objectives can be

achieved by using Smart Meters. Considering this, a microcontroller based Smart Meter using wireless

communication and IoT is proposed. These electric metering systems are more accurate measuring

devices as compared with the conventional one. Automatic Meter Reading (AMR) has a capability to

automatically transmit data in real time. This increases the reliability of the metering system. The

Wireless Automatic Meter Reading (WAMRS) is the networked meter-reading system that consists of

terminal measure meters. Proposed Work includes a small light weight web server designed on

Raspberry-Pi board, which will make the system to work much faster. AMR allows easy saving of energy

through meter reading, priority scheduling of loads when it crosses the given threshold, greater data

accuracy; improved billing speed and many more consumer services. The PIC microcontroller and

ZigBee are used to transfer the meter reading wirelessly. At the receiver side, Raspberry is used to send

the value of power consumption from meter to PC. LCD displays the value of meter reading

TRIAC/DIAC control current at the load side.

Two wired Electromagnetic Flowmeter

Kulkarni Pradnya Mahesh, Dr.S.N. Mali

[email protected]


ABSTRACT

A study of flow measurement of electromagnetic flow meter is proposed in this project. Electromagnetic

flowmeter is one of the velocity type flowmeters. These flowmeters are said to be the best solution in

many applications, because they measure the average velocity even when the filling of the channel varies

and the local streams fluctuate. The liquids from the flow meter must be conductive liquids from chemical

or petrochemical industries (Slurries). This project presents a quantitative comparison of a trial that

modifies the inner product. The presented methods will be tested using simulators. Excitation of coil

phenomenon is used in the project. Positive displacement on display indicates flow of liquid in forward

direction while negative displacement on display indicates flow of liquid in reverse direction. It is a kind

of flow detection system which works on Faraday’s law of Electromagnetic induction.

Detect Data Dissemination in Vehicular Cloud System


Priyanka Shankar Mane, Dr.S.N. Mali

[email protected]


ABSTRACT

Worldwide, vehicles have become a very significant means of transport in which results into a huge

number of cars that are owned in various cities, in turn traffic congestion and pollution leads.In particular,

vehicular cloud systems have received abundant interest for the ability to offer a variety of vehicle

information services. This project puts an eye on various techniques as far as the Smart Parking System

(SPS) is concerned which are already implemented. In looking after this parking issue, big number of

authors contributed a lot in monitoring SPS and management of SPS with the help of various technologies

including wireless sensor network, Bluetooth, ZigBee, Radio Frequency Identification (RFID), Global

System for Mobile Communication (GSM), Cameras, Image processing, Internet of Things (IoT)

accompanied by a number of software solutions based on mobile application. In this project, we devise a

vehicle route-based data prefetching scheme, which maximizes data dissemination success probability in

an average sense when the size of local data storage is limited and wireless connectivity is stochastically

unknown. The proposed algorithms can achieve efficient data dissemination in a variety of vehicular

scenarios.

IoT based Traffic Light Control System using Raspberry Pi

Elizabeth Basil, Prof. S. D. Sawant

[email protected]

Sinhgad School of Engineering (NBNSSOE), Ambegaon (Bk), Pune [105]

ABSTRACT

Congestion in traffic is a serious issue. In existing system signal timings are fixed and they are

independent of traffic density. Large red light delays leads to traffic congestion. In this paper, IoT based

traffic control system is implemented in which signal timings are updated based on the vehicle counting.

This system consists of WI-FI transceiver module which transmits the vehicle count of the current system

to the next traffic signal. Based on traffic density of previous signal it controls the signals of the next

signal. The system is based on raspberry-pi and Arduino. Image processing of traffic video is done in

MATLAB with simulink support. The whole vehicle counting is performed by raspberry pi.

Grain Quality Detection by using image processing for public distribution

Deepika Sharma, Prof. Sharad D. Sawant

[email protected]



ABSTRACT

In our life food is necessary for nourishment and sustenance. There are some additional

impurities present in the food such as stones, damaged seeds, broken granules which affects

the composition and the quality of food. Determining the quality of grains is a big challenge.

Wheat and rice are used by most of the population across the world. In this paper, we have

proposed a system that determines the quality of food. Initially, the grain samples run on the

conveyor belt and then random images of grains are captured by the camera. The image

processing algorithm is applied on the grain samples through MATLAB. The classification has

been done according to colour, shape and size. It results good, bad and medium quality by

using Neural Network (NN) classifier. The final output id displayed on the LCD also the message

will be sent to the higher authority through GSM module. This system can be implemented in

food industries at later stage for grading purpose which will make the task of classification of

the grains simpler for the public.

FPGA Based Implementation of ECG Data Compression

Sagar Balabhau Kale, Prof. D. H. Gawali

[email protected]


ABSTRACT

Even today, after the duration of century past over to the invention of electrocardiogram (ECG), it is still

the primary choice of physician for diagnosis of cardiac diseases patients. Variety of portable ECG

telemonitoring solutions are now available in market those allow ECG monitoring when patient is on his

daily routine. But long-term continuous monitoring generates large amount of data which leads to large

storage requirement and ECG data transmission became power hungry. Hence ECG data compression

plays important role in portable ECG telemonitoring solutions for reducing the storage requirements and

power efficient transmission of ECG data. In this paper Field Programmable Gate Array (FPGA)

implementation of ECG data compression is presented. Verilog is used as hardware description language

(HDL) to describe dynamic bit allocation based real-time ECG data compression algorithm during

implementation. Vertex-5 FPGA is used as hardware platform during synthesis and implementation. To

analyze ECG data compression efficiency and reconstructed signal quality, decompression is done in

MATLAB.

Smart Shopping Cart With Energy Harvesting

Prasiddhi Kauitk Khairnar, Prof. D. H. Gawali


[email protected]


ABSTRACT

An unconventional novel product which is accepted by the society is the one that

brings contentment, satisfaction with benefits and coherence in day to day life of a common

man. Features incorporated in proposed system are Product Detection (PD); Product

Recommendation (PR); Budget Setting (BS); Automatic Billing (AB) and Energy Harvesting

(EH). PD is used to detect the product placed in shopping cart using RFID technology,

meanwhile PR facilitates providing relevant product information and ongoing offers.BS helps

to set the budget if purchase cost reaches the budget value a buzzer buzzes. AB generates the

bill as soon as the cart reaches the billing counter server through RF communication. EH is the

technique which makes use of human efforts applied for moving a cart to generate electric

energy, were the rotational motion of wheels of a cart is converted to electrical energy and a

battery is charged.

Travolution- System for road safety

Subodh Babasaheb Kharat, Prof. S. D. Sawant

[email protected]


ABSTRACT

Numbers of vehicles on the road are continuously increasing since few decades. The boost in

the vehicles causes the increase in the road crashes in the developing countries like India. The safety

on the road has become a vital issue as it direct affects the human life. Several times the people are

facing the severe injuries due to the accidents and hence it is really important to develop the system

to avoid the road accidents. In India every day more than 1200 accidents are recorded which causes

more than 375 deaths every day. Every 3 minutes a person is losing life in India. These statistics gives

a complete idea about the severity of the problem and hence the need of time to implement the

system to avoid such accidents. Thus the system have designed and implemented for the road safety

in order to avoid accidents. The features that are proposed in this work are: automatic collision

notification that gives notification about accident to the victim’s relative, Red light traffic control

makes sure vehicle doesn’t break signal, Speed control alters speed in different zones and prevent

vehicle from entering no entry zones, Horn control prevents no honking in horn prohibited zone and

Alcohol detection detects drunk driving.

FPGA Based Implementation of Blowfish Algorithm


Shraphalya Balu Nalawade, Prof. D. H. Gawali

[email protected]


ABSTRACT

Security is important issue during communication and data transmission. There are many ways to

provide. One method to ensure security is the use of cryptographic algorithms like DES, AES, RC5,

Blowfish etc. Cryptography is a method used for encoding the data which is being hacked by the

unauthorized person. In this paper Blowfish algorithm is designed using VHDL (Very High Speed

Integrated Circuit Hardware Description Language) programming language and simulated using Xilinx

ISE 14.5 design suite. The purpose of this system is to improve performance of Blowfish algorithm. The

Virtex-5 XC5VLX50T FPGA device used for synthesis of Blowfish algorithm. The simulation results

show the minimum utilization of device resources which results in better performance and provide better

range of security than other existing security algorithms.

Circuit board defect detection using image processing and microcontroller

Priyanka Ashok Nikam, Prof. S. D. Sawant

[email protected]


ABSTRACT

Printed circuit board (PCB) plays an important role in various electronics products. Errors are the

unavoidable quantities which must be resolved in order to achieve an efficient result and best quality.

This paper suggests a basic and simplest method to quickly locate and detect the defects on printed circuit

board which is termed as subtraction method. In this method, live image acquisition and inspection of

circuit board is designed. The digital image preprocessing method is carried out on images. Subtraction

method is used for comparison and matching of reference image and defect image of circuit board.

Missing holes and missing paths can be detected and classified accordingly, to ensure quality and security

Printed circuit board defect must be identified, the aim is to examine these quality issues timely.

Abnormal Activity Detection for Security Purpose by using image processing

Sharayu Sadashiv Phule, Prof. S. D. Sawant

[email protected]


ABSTRACT


The detection of unusual activity in different crowded surroundings is crucial intended for personal safety

of the in localities like shopping centers, airports and many others. The document reveals to recognize one

of the unfamiliar actions in a place with group of people. The action of identification of unusual object

detection may also be used for several people programs such as the crime investigation, security practices

and anti terrorist supervision. In almost all monitoring devices, the digital camera is fitted with track

record these kinds of that the foreground objects could possibly be plucked from digital camera

subtraction method. This system is designed for the detection of abnormal activity. As the people should

take possible actions for the prevention of dangerous events. Here, input will be a video and output by

system would be the classification of abnormal activity/object. This object can be a bag or a parcel with

specifications of dimensions. For classification of object support vector machine is used for accurate

results.

Smart Farm Monitoring and Controlling System Using IoT and Android

Phone

Shweta Bhaskar Saraf, Prof. D. H. Gawali

[email protected]


ABSTRACT

Natural water resources are precious for human welfare. Internet of things (IoT) is an attractive solution

for better management of natural resources. The proposed system is arduino based smart farm irrigation

system which uses the android phone for remote control and monitoring of the drips via wireless sensor

network. The data from a sensor node is sent through Zigbee wireless communication modules to base

station. The data from base station is stored on the cloud server via Apache Tomcat web hosting

application. The controlling decision is taken by server using irrigation algorithm to control irrigation.

Real time sensed data handling and demonstration on the server is accomplished using web based java

graphical user interface. Wireless monitoring of field irrigation system allows user to reduce human

intervention. This method has the ability to be incorporated into an automated drip-irrigation scheme,

precision agriculture in conjunction with de-centralized water control.

FPGA Based Design and Implementation of FIR Filter For ECG Signal

Processing.

Harshal Bhagwanrao Shingne, Prof. D. H. Gawali

[email protected]


ABSTRACT


A clean ECG (Electrocardiogram) is very important to detect many diseases. ECG signal can corrupt by

various noises in real time situations. Mainly ECG is corrupted by Baseline wander, Powerline

Interference, and High frequency noise. These types of noise are present at different frequency range of

ECG signal. There are various filtering techniques available for removing these noises. This paper

proposes cascading of Kaiser Window based FIR filter which can remove Baseline wander noise,

Powerline Interference and EMG (Electromyogram) effectively. The ECG database has been taken from

Physio.net. The proposed FIR filter has been implemented in Xilinx ISE by using VHDL.

FPGA-based beat detection of ECG signal using Histogram approach

Akanksha Agrawal, Prof. D. H. Gawali

[email protected]


ABSTRACT

Heart is the most vital organ of the human body. Its proper functioning determines the status of the person

and analyzes the patient’s disease. This diagnosis is done by a very old-school method called

Electrocardiogram (ECG). An ECG signal comprises of PQRST peaks. This paper proposes a method to

detect and identify these peaks from a noise free ECG signal and it’s achieved with the help of histogram

based algorithm. MIT-BIH noise stress test database from physio.net has been used for testing. This is a

very simple method. The method is chosen as it can analyze ECG signal without using any complex

mathematical model. The algorithm has been implemented and tested in MATLAB and further Field-

programmable gate array (FPGA), SPARTAN-6 is utilized as hardware platform with VHDL RTL coding

on Xilinx 14.7 ISE design suite for peak detection purpose.

Animatronics Hand using wireless module

Sanket Brahmadev Patil, Prof. S. D. Sawant

[email protected]


ABSTRACT

This paper discusses the layout and implementation of a wireless animatronics hand using NRF module

and Arduino UNO board. The main aim of this paper is to present an acquisition method that

comprehensively looks for the mimic configurations of the human hand.We can use it as shadow hand of

ours which is of various uses.In many applications instead of using actual human hand, we can replace it

by this wireless robotic hand. We may allow this robotic hand to complete the harmfull task so that the


risk will be avoided.The gadget/ digital product turned into applied the usage of control glove, micro

servo motors, NRF module and Arduino-UNO board having on-board Atmega-328.

Adaptive Weiner Filter for Speech Enhancement Under Various Noisy

Conditions

Akash A. Salmuthe, Agrawal R K

[email protected]

SNJB's COE, CHANDWAD, NSK [041]

ABSTRACT

The performance of a noisy speech enhancement algorithm depends on the estimation of the priori signal-

to-noise ratio (SNR). The most commonly used approach to estimate the priori SNR parameter uses

Decision-Directed (DD), Two Step Noise Reduction (TSNR), Harmonic Regeneration Noise Reduction

(HRNR) method in Adaptive Weiner filter. A method called two-step noise reduction (TSNR) technique

which solves this problem while maintaining the beneï¬•ts of the decision-directed approach. The

problem of harmonic distortion that introduced in traditional short time noise suppression methods,

especially in low signal-to-noise ratio (SNR) noisy environments. A simple but effective harmonic

regeneration method called Harmonic Regeneration Noise Reduction (HRNR) is used to solve this

problem.

Abandoned Object Detection Via Temporal Consistency Modeling And Back-

Tracking Verification For Visual Surveillance

Dhananjay J. Pawar, Dr. Vishal A. Wankhede

[email protected]


ABSTRACT

This paper introduces a successful approach for distinguishing Abandoned luggage in surveillance

recordings. We join short-and long term foundation models to concentrate closer view objects, where

every pixel in an information picture is named a 2-bit code. In this manner, we acquaint a structure with

recognize static frontal area areas in light of the worldly move of code designs, and to figure out if the

applicant districts contain surrendered protests by breaking down the back-followed directions of

baggage proprietors. The trial comes about acquired in light of video pictures from 2006 Performance

Evaluation of Tracking and Surveillance and 2007 Advanced Video and Signal-based Observation

databases demonstrate that the proposed approach is successful for identifying relinquished gear, and that

it outflanks past techniques.


SMART HELMET

Jadhav Tejaswini S., Dr. Vishal A. Wankhede

[email protected]


ABSTRACT

In India most of the people prefer two wheelers compared to other vehicle due to simplicity and its low

cost .A smart helmet is a type of protective headgear used by the rider which makes bike driving safer

than before. The main aim of this smart helmet to provide safety for rider. This implement by using

advance feature like alcohol detection, accident identification, location tracking. This makes not only

smart helmet but feature of smart bike. Its compulsory to wear helmet without helmet ignition switch

cannot ON. If rider getting drunk it get automatically ignition switch is locked and send message

automatically to their register number with their current location. So when accident occurs, it will send

message by GSM to register numbers with their current location by GPS module.

Health Monitoring System Using Wireless Body Area Network & ANDROID

supported PDA

Ankush S. Joshi, Thakre S S

[email protected]


ABSTRACT

Late remote sensor frameworks have engaged the design of insignificant exertion, shrewd, little, and

lightweight remedial sensor centers that can be intentionally put on human body, make a remote body

district framework called Wireless Body Area Network (WBAN) to screen distinctive physiological

crucial signs for a drawn out extend of time and giving progressing contribution to the customer and

restorative staff. In this paper, therapeutic sensors were used to accumulate physiological data from

patients and transmit it to individual computerized right hand (PDA) using Bluetooth standard and to

helpful server using 3G correspondences. In this paper, we exhibit new patterns, different developments,

for example, we are utilizing Bluetooth innovation which is not utilized before. Likewise we will create

android application for PDA so as to catch the information from sensors and also it can give office of

putting away and sharing the patient’s results to specialists, doctors and so forth through web.


Multilevel inverter fed induction motor using PWM technique

Handge Madhuri Madhukar, Tated K S

[email protected]


ABSTRACT

This paper makes a humble attempt to design and implement a variable frequency control of three phase

induction motor using PWM technique for three phases MOSFET based inverter using three phase

induction motor drive. PWM is employed in wide verity of applications like power control and

conversion. To handle high voltage, high power and increase levels of inverter diode clamped multilevel

inverter is designed here. It fulfills higher torque requirement and reduced total harmonic distortion which

are advantageous part of paper. This could be extended to higher levels of voltage waveform and can be

used in photovoltaic cell.

Red Lesion Detection using Dynamic Shape Features for Diabetic Retinopathy

Screening

Ashwini Dattatray Sonawane, Tated K S

[email protected]


ABSTRACT

In this paper a Diabetic Retinopathy (DR) is the deterioration ofhuman eye its result is increase in the

blood glucose level.If the patient has DR, then higher the chance to developpurblind. The robust detection

of lesions in digital color fundusimages is an important step in the development of automatedscreening

system for diabetic retinopathy. In this work a novelmethod is introduced for automatic detection of red

lesions in thefundus image. A new set of shape features extracted from thedetected red lesion called the

dynamic shape features thatdifferentiate between the lesions and vessel segments. Thedetected lesion

candidates are classified using dynamic shapefeatures based on the medical values. The simulation

analysisindicates that the proposed work is better than the previousworks in terms of accuracy, sensitivity,

precision and specificity.

Human Emotion Recognition

Renuka Lodha, Agrawal R K

[email protected]



ABSTRACT

The aim of study of â€œHuman Emotion Recognitionâ€• is to make language interfaces in human

computer interaction applications more efficient. This study deals with the six emotions like anger,

boredom, disgust, fear, happiness, sadness. Energy, MFCC(14), LPC(12),ZCR, Pitch ,First three formant

these six different features were extracted. Here Artificial Neural Network is used as classifier.

Human Identification Method: SCLERA

Karade Poonam Nivrutti, Dr.Wankhede V.A.

[email protected]


ABSTRACT

The vein structure of the sclera is unique for each person and stable over time and can be used for

identifying human. Therefore, the sclera vein pattern can be used for a useful biometric feature. In this

paper we propose a new concept for human identification i.e. Sclera Recognition. Sclera vein pattern

recognition can face a several challenges like: the vein structure moves as the eye moves, low image

quality, multilayered structure and thickness of the sclera vein changes with the excitement level of the

human body. There are several contribution. First we Propose the new approach for human ID i.e. Sclera

Recognition. Second we developed segmentation method for both the grayscale and color images. Third

we design the Gabor wavelet based sclera pattern enhancement method and finally, we proposed Line

descriptor based feature extraction, registration, and matching method.

Electronics Solid State Voltage Regulating Relay for on Load Tap Changer

Distribution Transformer for AVR (Automatic Voltage regulation)

Thakare Pralhad Babaji, Prof.Mechkul M.A.

[email protected]


ABSTRACT

This paper presents a system, specially designed for the Distribution transformer tap changer with the

continuous operation of tap changing and control of the secondary voltage brings a remarkable

improvement in power supply quality, keeping voltage in the net constant. Design and practical

evaluation of the electronic tap changer for three-phase 1000KVA distribution power transformer. The

on-load tap changing (OLTC) regulators have been widely used since the introduction of electric energy.

They ensure a good regulation of the output voltage in presence of large variations of the input voltage

with typical response time from 100 ms to several seconds. The continuous growth of power semi-


conductor devices, such as the insulated gate bipolar transistor, allows the development of fast OLTC

regulators being able to fix other problems in the ac mains, like sags and flicker. The suitable condition of

an on-load tap-changer (OLTC) is essential for the operation of converter transformer due to its frequent

switch for the voltage regulation of power system. This can be applicable to tap changers and release

commutation from the zero-current crossing, thus allowing a faster voltage regulation.

Image Mosaching Using Harries Corner Detector

Patil Rohi Shivaji, Prof.Thakare S.S.

[email protected]


ABSTRACT

Since the breathe few decades, conception mosaicing in real foreshadow applications has been a

challenging field for conception processing experts. It has copious applications in the trade of register

conferencing, 3D image modification, pumpkin imaging and all medical as with a free hand as computer

delusion fields. It can further be hand me down for mosaic-based localization, outline detection &

tracking, augmented survival, resolution enhancement, generating rich FOV etc.

In this research trade, centerpiece based theory mosaicing technique per theory integration have been

proposed. The theory mosaicing algorithms bouncecel be categorized directed toward two universal

horizons. The first is the behave method and the moment one is based on perception features. The behave

methods prefer an ambient initialization whereas, centerpiece based methods does not move initialization

during registration. The feature-based techniques are mostly followed individually four steps: feature

detection, dish fit for a king matching, transformation exemplar estimation, image resampling and

transformation. SIFT and SURF are one algorithms which are based on the achievement detection for the

ending of brain wave mosaicing, nonetheless both the algorithms has their put a lock on limitations as

well as advantages by the applications concerned. The proposed rule of thumb employs this two feature

based theory mosaicing techniques to prompt a product theory that works inaccurate the limitations of the

both in grain of salt of theory quality. Further to move up in the world this duty, the theory fusion

technique has been employed. Image building a whole for multi-sensor images at an altering sentence can

be fruitfully implemented by rule of thumb of wavelet based Multi Resolution hit or miss (MRA).Hence

in this how things stack up Harr based wavelet resolve technique has been hand me down for achieving

image fusion. The developed competent algorithm takes gift of the combined end of rotation,

illumination, noise variation and other few and far between variations. From the ground up, the input

images are stitched together via the popular stitching algorithms i.e. gat to one feet Invariant achievement

restore (SIFT) and Speeded-Up Robust Features (SURF). To get the marvelous features from the stitching

results, the blending process is done by rule of thumb of all manner of wavelet Transform (DWT) by the

agency of the restriction selection rule for both mirror as with a free handas detail-components. The

search provides rocket as cleanly as rotational invariance property. The SURF provides outstrip

computation hasten and illumination invariance. The robustness and case of the after mosaicing

techniques are tested by way of doing thing of three-dimensional rotational images.


Speech Enhancement Using An Efficient Adaptive Filtering Technique

Bacchav Shubhangi Sudhakar, Prof.Mechkul M.A.

[email protected]


ABSTRACT

In this paper, it gives the concept of speech enhancement in a practical approach, using different speech

enhancement algorithms. The Least Mean Square (LMS) algorithm is a basic adaptive algorithm has been

extensively used in many applications as a consequence of its simplicity and robustness. In this paper we

present a novel adaptive filter for de-noising the speech signals based on unbiased and normalized

adaptive noise reduction (UNANR) algorithm. To measure the ability of the proposed implementation,

signal

to noise ratio improvement (SNRI) is calculated.

Image Mosaching Using Harries Corner Detector

Rohit Shivaji Patil, Thakre S S

[email protected]


ABSTRACT

Since the breathe few decades, conception mosaicing in real foreshadow applications has been a

challenging field for conception processing experts. It has copious applications in the trade of register

conferencing, 3D image modification, pumpkin imaging and all medical as with a free hand as computer

delusion fields. It can further be hand me down for mosaic-based localization, outline detection &

tracking, augmented survival, resolution enhancement, generating rich FOV etc.

In this research trade, centerpiece based theory mosaicing technique per theory integration have been

proposed. The theory mosaicing algorithms bouncecel be categorized directed toward two universal

horizons. The first is the behave method and the moment one is based on perception features. The behave

methods prefer an ambient initialization whereas, centerpiece based methods does not move initialization

during registration. The feature-based techniques are mostly followed individually four steps: feature

detection, dish fit for a king matching, transformation exemplar estimation, image resampling and

transformation. SIFT and SURF are one algorithms which are based on the achievement detection for the

ending of brain wave mosaicing, nonetheless both the algorithms has their put a lock on limitations as

well as advantages by the applications concerned. The proposed rule of thumb employs this two feature

based theory mosaicing techniques to prompt a product theory that works inaccurate the limitations of the

both in grain of salt of theory quality. Further to move up in the world this duty, the theory fusion

technique has been employed. Image building a whole for multi-sensor images at an altering sentence can


be fruitfully implemented by rule of thumb of wavelet based Multi Resolution hit or miss (MRA).Hence

in this how things stack up Harr based wavelet resolve technique has been hand me down for achieving

image fusion. The developed competent algorithm takes gift of the combined end of rotation,

illumination, noise variation and other few and far between variations. From the ground up, the input

images are stitched together via the popular stitching algorithms i.e. gat to one feet Invariant achievement

restore (SIFT) and Speeded-Up Robust Features (SURF). To get the marvelous features from the stitching

results, the blending process is done by rule of thumb of all manner of wavelet Transform (DWT) by the

agency of the restriction selection rule for both mirror as with a free hand as detail-components. The

search provides rocket as cleanly as rotational invariance property. The SURF provides outstrip

computation hasten and illumination invariance. The robustness and case of the after mosaicing

techniques are tested by way of doing thing of three-dimensional rotational images.

Voice And Face Emotion Detection Robot

Shewale Prerana Gangadhar, Prof.Hon Y.S.

[email protected]


ABSTRACT

This paper introduces a human emotion according to face and voice .We express our feeling according to

emotion .It improve the overall human computer interaction. The work present an approach toward the

face emotion. and speech recognition. In this paper emotion can be detected according to Robot . Robot is

the reduce the human efforts by the emotion. So the emotion can intimated by the process of feature

extraction ,classification and detection to give the proper output according to Robot

Multiple Sensor Fusion and Classification for Moving Object Detection and

Tracking

Khan Rabiya Yunus, Prof.Mechkul M.A.

[email protected]


ABSTRACT

This paper introduces a successful approach for Moving Object Detection and Tracking. It is an

important part of advanced driver assistance system for moving object detection and classification. By

using multiple sensor for object detection we can improve the perceived model of environment. In first

step we describe the combined object representation. In second step we suggest a complete observation

mixture design based on evidential structure to solve the detection and tracking problem by integrating


the multiple image and doubt organization. Finally we add our mixture approach in real time application

inside a vehicle.

Plant Disease Detection Using Image Processing

Shaikh Saddamhusain Jauddin, Prof.Agrawal R.K.

[email protected]


ABSTRACT

Diseases in plants cause major production and economic losses as well as reduction. Detection of plant

disease through some automatic technique is beneficial as itreduces a large work of monitoring in big

farms of crops, and at very early stage itself it detectsthe symptoms of diseases.Detection on plant is very

critical for sustainable agriculture. It is very difficult to monitor the plant diseasesmanually. It requires

tremendous amount of work, expertize in theplant diseases, and also require the excessive processing

time.Hence, image processing is used for the detection of plant diseases.Process involves the steps like

image acquisition, imagepre-processing, image segmentation, feature extraction andclassification. This

paper discussed the methods used for thedetection of plant diseases using their leaves images. This

paperalso discussed segmentation and feature extraction techniqueused in the plant disease detection.This

method is simulatedin MATLAB environment and is examined on image of kind of tiles such as

simple,color and designed that lead to good result to gradation and sharp defect detection oftiles.Feature

extraction is done using k-means algorithm and selection is texture based. Classification is done using

SVM.

SMART PARKING SYSTEM

Bachhav Jayakshei Dadaji, Prof.Mechkul M.A.

[email protected]


ABSTRACT

In today’s life the concept of smart city had become an area of interest in the world of technology.

Concern to parking became imminent in the urban area. The parking space problem could be turn into a

new opportunity brought by the recent trends to meet the world’s connected continuum. In this paper, I

am presenting the IoT based Smart Parking System. This paper makes easy for the user to find

automatically a free space at the low cost and without consuming time and fuel. The whole system is

based on Wi-fi. The android application is also provided to the user to check the availability of free space

for parking and book that slot accordingly.


Underwater Image Enhancement using Discrete Wavelet Transform and KL

Transform

Badgujar Prashant Narayan, Mr. J. K. Singh

[email protected]


ABSTRACT

Color change and light scattering are two major sources of distortion for underwater image processing.

Light scattering is caused due to light incident on objects reflected and deflected multiple times by sand

particles present in the water before reaching the camera. This lowers the contrast and visibility of the

captured image. Color change corresponds to the varying degrees of attenuation encountered by light

traveling in the water with different wavelengths of different colors, rendering ambient underwater

environments dominated by a bluish tone. No existing underwater processing techniques can handle color

change distortions and light scattering suffered by underwater images, and the possible presence of

artificial lighting simultaneously. This paper proposes an efficient systematic approach to enhance

underwater images using discrete wavelet transform, KL transform and adaptive histogram equalization.

Keywordsâ€”Discrete Wavelet Transform, Underwater Image Enhancement, KL Transform.

Smart Waste Management System Using Zig-Bee

Vedant Nitin Agnihotri, Atul Srivastava

[email protected]


ABSTRACT

Nowadays, Indian government’s purpose is to create smart cities. For that, most challenging problem is

waste management for municipals, which are facing serious pollution problem due to the huge quantities

of waste. If solid waste is not handled properly it may create lots many problems related to human health

and environment. Therefore, there is a necessity of a system which provides information about filling of

garbage level or the bin. So that, municipality can collects the waste from bin before overflowing and

helps to maintain the environment clean. This paper presents brief review on technology like Zigbee,

GSM etc. which enables to monitor of garbage bin in real time and will inform to authorized person when

the garbage bin is about to fill. Practically, for solid waste collection and transportation monitoring and

management these technologies are good enough to ensure for greener environment.

Keywordsâ€”Smart garbage Bin; solid waste management.


infrastructure health monitoring

Solat Sonali Machhindra, Mr.Atul Srivastava

[email protected]


ABSTRACT

This paper presents a measurement system for measuring dynamic acceleration of infrastructure remotely

using wi-fi environment. This measurement is critical to the vibration-based method for infrastructure

health monitoring. Design considerations of accelerometer integrated with embedded system is

implemented. Measurement results of the system for a structural specimen have shown that it is capable

of acquiring data which provides the information of natural frequency of the structural specimen.

Moreover, the system can distinctively identify the state changes of the structural specimen using MEMs ,

Temperature, Humidity sensors.

plant protection and pest control using low cost sensor based embedded

system

Shinde Shital Sopan, Mr.Atul Srivastava

[email protected]


ABSTRACT

This Paper aimed to investigate an establishment using an Intelligent System which employed an

Embedded System and for plant protection and pest control especially of apple using beta regression

model. this beta regression model is based on mainly humidity and temperature values. using temperature

sensor and humidity sensors real time values in the environment are sensed these values are analyzed and

monitored by Raspberry Pi ,With the use of python language beta regression model is implemented in

raspberry pi for further action. The result shows that Raspberry Pi and Python successfully predicted the

pest attack in advance. In this way it is a novel, easy to handle, economical system for the apple growers

and farmers. The system was found to be comfortable for farmers to use as they could effectively control

the farm, resulting in cost reduction, asset saving, and productive management in farming.

Linux webserver based smart farm monitoring

Mahajan Priyanka Rajendra, J.K.Singh

[email protected]



ABSTRACT

This Paper is aimed to implement Intelligent System that used anLinux based webserver with Embedded

System for smart farm monitoring using Raspberry Pi and Arduino Uno. Relative experiment and

comparative analysis of the smart system was applied during a test farm during this study. The findings of

this study found that the system may monitor Combinely climate as well as wetness, temperature, climate

quality, The system was found to be impactful for farmers to use as they may effectively management the

farm at remote area as well, leading to price reduction, quality saving, and productive management in

target farming

Keywordsâ€”Raspberry Pi ; Arduino Uno; Webserver ; DHT11; LM35;

Digital Notice Board using raspberry pi

Abhimanyu Bhanudas Sabale, J.K.Singh

[email protected]


ABSTRACT

Notice Board is an essential thing in any public

utility or institution places like bus stations, railway stations,

colleges, malls, etc. But sticking various notices day to day is a

difficult process. A special person is needed to take care of this

notices display. This project is about advanced wireless notice

board. The project is built around ARM controller raspberry-pi

which is heart of the system. Display is obtained on project tor. A

Wi-Fi is using for Data transmission. At any time we can add or

remove or alter the text according to our requirement. At

transmitter authorized PC is used for sending a notices. At

Receiver side end Wi-Fi is connected to raspberry pi. When an

authorized user sends a notice from his system, it is received by

receiver. Wireless is a most popular technology that permits an

electronic device to exchange and transfer data wirelessly over a

computer network, including high speed wireless connections.

The data is received from authenticated user. Then it sends to

arm 11 that is raspberry pi.

Keywordsâ€”Rpi- Raspberri Pi ; IOT-Internet of things; Wi-

Fi; GSM;


Online Agricultural data acquisition system powered with GPS & sensing

technology with Enhancement of water irrigation system

Kulkarni Sayali Satishchandra, Prof.J.K.Singh

[email protected]


ABSTRACT

Abstract: This paper presents online agricultural data acquisition system in order to supervise the farm

with robotic movement and multiple sensors used to measure different agricultural parameters such as soil

moisture, temperature, soil humidity, soil pH and water level. The proposed scheme consists of water

irrigation system which is useful to supply controlled amount of water to the farm. Robot includes sensor

sub system, planning subsystem. Main focus of the system is online availability of information related to

Agricultural parameters with the help of GPRS and data acquisition system.ASP is an HTML page used

for web development. Online data monitoring is helpful to observe parametrical information such as

water level, temperature, light intensity, soil pH etc. from anywhere.

Keywordsâ€”Soil pH, Soil humidity, Soil moisture, Water irrigation system, GPRS module.

U Shaped Multiband Monopole Antenna For Spacecraft,WLAN And Satellite

Communication Application

Lokhande Manojkumar, Mr.Atul Srivastava

[email protected]


ABSTRACT

In these paper an novel U shape Monopole antenna for multiband application has been designed. The

designed antenna resonant at three frequency of 2.8 GHz, 5.8 GHz and 10.8 GHz with an impedance

bandwidth of 880 MHz, 2500MHz and 3000MHz respectively. The antenna is highly efficient with an

efficiency of more than 80% over the desired resonating bands. Moreover it has omnidirectional radiation

pattern with an good directivity. The gain of more than 4dBi is obtained over the desired resonating

bands. The VSWR less than 2 dB obtained over the entire band. The designed antenna is suitable

candidate for Spacecraft, WLAN and Satellite communication (X bands)applications.

IoT Based Industrial Automation Using Web page

Tambe Bhagyashri Shivaji, J.K.Singh


[email protected]


ABSTRACT

Automation is need of life and industries. In many

small scale as well as large scale industries it requires automation

of processes. Such system management using dynamic IP based

Embedded Web-server (EWS) is presented in this project. In

current era of networking, to maintain EWS with static Internet

Protocol (IP) is difficult and costly to manage. Novel approach of

assign dynamic IP to board is developed and tested for different

dynamic IPs. Dynamic IP is obtained for embedded board by

enabling (IOT) internet on things. The embedded system consists of

raspberry-pi processor running on Linux operating system.

Embedded board (EB) having dynamic IP contains different inputs

from sensors for automation as well as web page designed in PHP

with this web page any authorized person can monitor industrial

automation parameters as well as can control industrial

applications.

Keywordsâ€” Raspberry Pi ; Realys; Webserver ; LDR; LM35;

IOT-Internet of Things.

Embedded based Potholes and humps mapping using Android application

Shazia Shaikh, Mr. J. K Singh,

[email protected]


ABSTRACT

Potholes and humps have been known to be a major nuisance in roadside transportation, especially in

India. Due to the significant weather fluctuations we experience, these potholes evidently are more

severe. Identification of these potholes and humps not only helps drivers to avoid accidents or vehicle

damages, but also helps authorities to maintain roads. This paper discusses the mapping of Potholes and

humps which assists the driver in avoiding potholes on the roads, by giving him prior warnings. If the

driver is approaching a pothole or hump or driver may be warned in advanced regarding what road has

how many potholes. Ultrasonic sensors are used to identify the potholes and humps and also to measure

their depth and height, respectively. The proposed system captures the geographical location coordinates

of the potholes and humps using a global positioning system receiver. The sensed-data includes pothole

depth, height of hump, and geographic location, which is stored in the database


Fingerprint Biometric with Movement Enhanced Technique

Sujit Wakchaure, Mr. J. K. Singh

[email protected]


ABSTRACT

A system protecting confidential information, or items of value, puts strong security demands on the

identification Even though Fingerprint Biometrics has made a great impact in security issue and identity

factor as well. All currently available fingerprint scanners can be fooled by dummies that are created with

very limited means and skills. In this paper we have solved this problem by enhancing the finger

movement technology along with fingerprint biometrics. In the proposed system, the movement of the

finger is being identified by using sensors, which are placed at different positions in a flat surface

accordingly. The perspective finger is being moved along the surface, thus for each entry of the finger, the

finger impression has been scanned out to identify whether the person is authorized either .Hence through

this paper we focus on design and modelling, which is a successive factor for the implementation of

Fingerprint Biometrics with Movement Enhanced technique(FBMET).

Intelligent Contactor Coil Drive Design for Low Power Consumption & Soft

Switching of Heavy Load

Rakhunde Prashant Anandrao, Prof. J. K. Singh

[email protected]


ABSTRACT

Optimized contactor coil drive design and its intelligent realization with AC 110-240VAC input voltage

is introduced in this project, the hardware and software design are emphasized especially around the

commonly used 8 bit PIC microcontroller with IDE MPLAB. The use of power electronic switching

device i.e MOSFET to control and adjust the voltage on the contactor’s coil with PWM (Pulse Width

Modulation) phenomenon, such that contactor works reliable and stable with a wide range AC

(AC80~270V) in the controlled fashion. This way contactor can be used in all the voltage class which

solves the problem of voltage variation & exceed voltage case with less power consumed for the coil

operation. The hardware design consists of a microcontroller PIC18F2520 with following module:

1. Power supply and Voltage measuring circuit with coil.

2. PWM control circuit

3. RS232/RS485 communication interface etc. (As future improvement part)

These function conforms contactor as a energy saving, silent operation, less arc or no arc break,

communication, remote operation and so on in case of implementation of communication protocol. The

partial test results at the end of this paper show that the design of this contactor is accurate and effective,


however need of implementation of communication protocol is still under the design feasibility check

phase.

Looking at the test results as of now, the performance and characteristic of the contactor would be

enhanced considerably and the types of power would be reduced greatly as well. Meanwhile, it is easy to

foresee that this kind of new AC contactor would have a large market and broad application prospect in

industrial application like Steel plant, Arc Furnace, Ball Mill, Cement Plant like areas as easy & more

power saving option.

Healthcare and security system for elderly and disabled people

Abhishek Birajdar, Prof. P. A. More

[email protected]

ZEAL EDU SOCIETY COE & RESEARCH, PUNE [053]

ABSTRACT

An embedded system is a special-purpose computer system designed to perform a dedicated function.

Since the system is dedicated to specific tasks, design engineers can optimize it, reducing the size and

cost of the product. Embedded system is fast growing technology in various fields like industrial

automation, home appliances, automobiles, aeronautics etc. Embedded technology uses PC or a controller

to do the specified task and the programming is done using assembly language programming or

embedded C.

As we all know life for any disabled/elderly person can become very miserable since they are

constantly dependent on others to reduce their dependability we have come up with the idea of GPS based

disabled/elderly assistant

.

The idea is to guide the disabled/elderly in a busy traffic area. He/She will be informed about the

name of place he is standing. Also he can get directions for the destination he wants to go. Also we have

put obstacle detectors which will warn the blind person of any collision. Also we have attached

biomedical sensors which will give his/her health status body temperature and pulse rate to the concerned

authorities via SMS/Android Application.

A Co-operative Collision Warning using WSN in a Vehicular Network

Asmita Anil Potdar, Prof. S. A. Ghodake

[email protected]


ABSTRACT


A road accident is a drastic issue for the driver and passengers in a danger conditions while travelling in a

vehicle. The driver’s negligence and the lack of safety features in a vehicle is the major cause of such

issue. The paper presents a prototype of a Safe Vehicle to avoid an accident in front and back scenarios

and the logic used for such system. The accident avoidance is obtained by detecting objects, using real

time data monitoring system. The system includes Ultrasonic sensor for front object detection and IR

sensor for back obstacle detection. The distance is measured by the microcontroller; the system stops the

vehicle for 50 cm to maintain a safe distance. The ARM 7 microcontroller is used to control the system.

Advanced wireless medical alert system

Dipak Mahadeo Kerkal, Prof. More Prajakta A.

[email protected]


ABSTRACT

Over past few years, there has been a huge growth of biomedical industry. In Parallel, another industry is

growing which is low power and wireless embedded systems. Embedded systems and networks are major

components of biomedical devices and applications. The system which used to call nurse is plays major

roll in medical emergency.

In this system we propose a system, which is wireless. For wireless radio selection initially we have

studied number of modules that are available in market.

The major concerns with wireless modules are power and price. Our system will have touch switches that

can be used to call nurse, cancel the call etc. out target customers are in developing countries where

affording costly system is not possible.

Ultimate aim of this product is to design a low cost, low power consuming and high performance device

which will be used in low budget hospitals.

Energy Efficient LED-Based Lighting of Multipurpose Outdoor

Environments With Power Factor & Efficiency Correction

Jayant Premnath Dalvi, Prof. A. N. Kulkarni

[email protected]


ABSTRACT

Nowadays, street lighting accounts for 53% of outdoor lighting use, and the market is continuously

increasing. In the context of rising energy prices and growing environmental awareness, energy efficiency

is becoming one of the most important criteria for street lighting systems design.This describes an


outdoor lighting solution aimed at energy-efficient performance in the context of multipurpose outdoor

environments, where control is crucial in achieving efficiency and power factor improvements.

This addresses efficiency at the component level, by optimizing the performance of LED drivers, and at

the system level, by defining the control strategy and associated hardware infrastructure. The approach

designed was tested in a real environment.

Water Monitoring System For Hydroponics Agriculture

Jyoti Vilas Gosavi, Prof. Mrs. Anushri Kulkarni

[email protected]


ABSTRACT

Hydroponics is a subset of hydroculture. It is a method of growing plants using mineral nutrient solutions.

The plants are grow only in water, without soil. Hydro means â€˜water’ and the Ponics means the

â€˜work’, that means hydroponics plants means water working plants. The nutrients in hydroponics can

be from fish waste, normal nutrients, or duck manure.

Hydroponics is a technique to grow the plant without using the soil. This technique take cares the

plant gets all nutrients needed from the water solution. There are many types of hydroponics technique.

The Water Culture (WC) is one of the hydroponics technique types. WC is a technique that grows the

plant by supplying the nutrient direct to the root of the plant until the plant can be harvested. By using this

technique, the plant root will be always submerged into the water that contains nutrient and oxygen.

In this research, the pH level in water solution , water conductivity and the water luminosity which

gives bad effect on growing of the plants will be automatically maintained by microcontroller and

measured by sensor.

THE SMART HOSPITAL BED

Kiran Deepak Sonawane, Prof. S.A.Bhosale

[email protected]


ABSTRACT

In today’s world with an expanding life expectancy with continuous rising cardiovascular disorders, it is

almost impossible for people to be at home or become available for their near ones who might need them

while they are suffering from any disease or physical disorder; especially in case of post-operative

patients since they can develop complications once they get discharged from the hospital. Hence, it is a

prime requirement for them is to monitor their cardiac health frequently whether they are indoors or

outdoors so that emergency treatment can be made possible. So With the help of SMART BED Care


givers can receive timely alerts at the nurse’s station anywhere in the hospital regarding signal trends,

body movement, and bed presence. Since most health monitoring occurs while a person is in bed so smart

bed is the ideal platform for improving health and better care.

Automatic Pay and Park Ticketing and Allocating Machine Prototype using

Linux and OpenCV

Nagesh R Sonwane, Prof. S S Palnitkar

[email protected]


ABSTRACT

With increase of vehicles in the city comes the need of automation to existing manual pay and park

system functionality. This will not only save the time but can also help in, digitization, security

enhancement, convenient parkingetc to mention few. Vehicle classified as two or four wheeler is

considered for separate allocation of vehicle.

The project uses open source component which includes operating system, kernel and open

computer vision library etc with open hardware as well to reduce the overall cost. This yields in less or no

licensing fees with no NRE cost except application development.

The prototype proposed can be used for real time application and is embedded device. Image

processing as we know is high computation task and needs time for processing data for image processing

algorithm on processor or device in concern. This makes real time application development difficult to

implement in embedded or small scale devices with needed efficiency or performance. The project uses

OpenCV computer vision library and can be used for real time application developed due to efficiency.

Design & Prototype Implementation of Modified IVR System with Bluetooth

Technology for Home Automation & Security System

Nayan Rajendra Shinde., Prof.S.S.Palnitkar.

[email protected]


ABSTRACT

This research aims to design Modified Interactive voice Response System with changes in previous

existing IVR system by making it digital from analog one. Paper presents design & prototype

implementation of home automation system based on IVR Technology for remote controlling &

monitoring of home appliances. Proposed system implements IVR System by replacing existing Analog

APR voice module by Digital SD card module & also provide additional security system via IVR


response. Proposed system combines Bluetooth technology with Modified IVR System to reduce the cost

incurred in making call when user is inside home & make system more cost-effective. in this paper, two

prototype namely Bluetooth based automation in indoor environment & IVR based automation in indoor

& outdoor environment are presented. with IVR Based system user can access his home appliances from

anywhere & at anytime as per the requirement. The paper also calculates the latency involved in turning

on/off load based on experimental observations & have shown results graphically.

Automated Fare collection system for passenger journey destination

estimation with stop announcement

Neha Shailendra Mandage, Prof. S. A. Ghodke

[email protected]


ABSTRACT

A methodology for passenger journeys destination estimation from automated fare collection (AFC) and

stop announcement system data is described. It introduces the new assessmentfeatures to increase the

accuracy of journey results. Theprocedure applies to distance-based tollstructures and it goals to

developunderdone AFC system data with the assessmentof individual journeys. This paper describes

asystem developed to implement the methodology and the results from its application to bus service data

from starting point of journey to the stopping point of journey. The data relate to an AFC system unified

with an automatic vehicle location system by using GPS that records transaction for each passenger

entering a bus, containing features regarding the route, the vehicle, and the travel token used, along with

the time and the location where the journey began. The results led to the conclusion that the methodology

is effective for assessing journey destinations.

Iris Recognition Using Wavelet Transform

Pooja Shantikar Meshram, Prof. N. P. Bhosale

[email protected]


ABSTRACT

Iris recognition is considered to be the most reliable and accurate biometric identification system. Iris

recognition system captures an image of an individual’s eye, the iris in the image is then meant for the

further segmentation and normalization for extracting its features. The performance of iris recognition

systems depends on the process of segmentation. Segmentation is used for localization of the correct iris

region in the particular portion of an eye and it should be done accurately and correctly to remove the

eyelids, eyelashes, reflection and pupil noises present in iris region. Daughman’s algorithm is used for


segmentationfor Iris Recognition. Iris images are selected from the IITD Database, iris and pupil

boundary are detected from rest of the eye image after removing the noises. The segmented iris region

will be normalized to minimize the dimensional inconsistencies between iris regions by using

Daughman’s Rubber Sheet Model. Then the features of the iris will be encoded by using Gabor

filter.Different classification algorithms will be used to calculate how many bits disagreed between the

templates of the iris and their results are compared to get best performance.

Design and implementation of on board AC to DC battery charger using

flyback converter

Prajakta Dilip Kumbhar, Prof P.A. More

[email protected]


ABSTRACT

Lead Acid battery is one of the major source of energy available in developing countries .

They are widely used in number of domestic and industrial applications as a primary and backup power

source. The objective is to design a cheap, versatile and efficent lead acid battery charger which will

interest and appeal cost minded customer .Chargable batteries are produced and used extensively today

for different applications. However without a battery charger these batteries can become quite worthless.

Charging of lead acid batteries becomes an challenge when we need to consider the battery life . For

complete battery utilisation, the charger circuit must charge the battery to its full capacity, while

minimising overcharging for extending the battery life. Simple constant current, constant voltage chargers

can charge the batteries, but the battery life can degrade if not charged considering their charging

characteristic. For this purpose we require smart chargers that monitor battery charging curve. This paper

propose a three stage battery charging system. A three stage charger enhances battery life as compared to

conventional charger. It is based on flyback power conversion topology that operates at higher switching

frequency , thus reducing the size and cost. It monitors the battery voltage levels and based on that it

charges the battery in either float, boost or absorption mode.

Deep sea fishermen safety system for border intruder positioning

Prakash Kumar, Ms. Palnitkar S. S.

[email protected]


ABSTRACT

The paper proposes a GPS and GPRS tracking system for offshore fisherman. The main objective of the

proposed device is to help the new demand in the world especially in European countries to import fish

products only from sustainable sources. The developed system provides safety, security, lifesaving, law


enforcement, environmental security and fisheries in marine. The propose device is a low cost GPS

tracking with functionalities. Our setup with GPSand GPRS tracking and the concept of GSM-assisted

community patrolling will become successful in India and everywhere in the world. The safety being

carried out by this system will create fame for the Indian fisherman and Coastguard. They can easily

come out the problems that they are facing in coastal region and international sea boundary.Everyone

fingering Indian coastguard and fisherman whenever any problems happen near coastal region. Hence

without any harm, to protect and overcome problems of fisherman and community in international issues,

setup is very helpful.

Portable Roadside Sensor For Vehicle Classification And Speed Measurement

Rajshri Balasaheb Pawar, Prof. V.B.Shere

[email protected]


ABSTRACT

The paper focuses on the enhanced automated system consist of a portable roadside sensor system for

vehicle counting, classification, and speed measurement. The sensor system consists of wireless devices

that do not require to be embedded in the roadwayâ€”the devices are placed next to the roadway and

measure traffic in the immediately adjacent lane. An algorithm and image processing system based on

controller model helps to make the system robust to the errors and fully automated to classify larger

vehicles driving in the nonadjacent lane as well as in the same lane. The proposed system can make these

traffic measurements reliably for traffic in the lane adjacent to the sensors. Signal processing algorithms

based on an analysis of the magnetic field around a car are used to enable the sensor estimates.

Vehicle classification is done based on the magnetic length and an estimate of the average

vertical magnetic height of the vehicle considering all physical parameters of the vehicle. Vehicle length

is estimated from the product of occupancy and estimated speed with the help of IR sensors along the

roadside. Data are presented from a large number of vehicles on a regular busy urban road and can also be

applicable for toll applications and smart city projects

Design of Co-ordinate Measuring System with vision inspection for Quality

Control

Shraddha Dubal, Prof. Smita A. Bhosale

[email protected]


ABSTRACT


In today’s life, image and video processing applications are becoming widely used in many domains

including industrials, medical imaging, manufacturing, and security systems. Real time video processing

is a very demanding task as it needs to perform high computations for a big amount of data represented by

the image, and the complex operations, which may need to be performed on the image. We are going to

design a system in which the dimensions are checked and compared of a connector according to the

program given as input to the system.

The distance, angle, area and irregular shape measurement can be done to do the quality analysis on large

scale and avoid customer problems and make it more feasible to use without procrastinating the quality

measures.

Automatic Traffic Sign Detection for Driver Assistance

Shweta Nandkishor Thakre, Prof.N.P.Bhosale

[email protected]


ABSTRACT

Traffic sign detection and recognition has been studied thoroughly for a long time. The detection and

recognition of traffic panel is a challenging task because of its wild variety of the information contain in

the and the different types of traffic sign such as warning sign, regulatory sign, guide sign, construction

sign, recreational sign, service sign, stop sign. In this paper a system is used which will automatically

detect the sign board and recognize the information contain in the sign board, as an application of

intelligent transportation system (ITS). The main purpose of this system is to assist the driver with

different sign boards which will automatically reduce the road accidents. The main cause of road

accidents occurs because of improper or incorrect information about the traffic sign boards. This paper is

divided into two parts: as detection and recognition of symbol and text. The symbol detection is done by

using the Surf feature and text detection is done by using artificial neural network. The detected symbol

and text will be announced through speaker.

Adaptive Neural Prediction System for Classification of Sediments

Snehal Ganesh Bhegade, Prof. S. S. Palnitkar

[email protected]


ABSTRACT

Sediments classification is required to have the detailed knowledge about sedimentation on the seafloor,

river bed, canals, near dam walls etc. Most commonly used approach in sediments classification on

seafloor or on riverbed are very expensive as this requires dedicated ships, lengthy measurements,

dedicated equipment and a labour intensive analysis afterwards. Presently used two technologies are


under development are based on acoustic and electrical. This system is based on electrical resistivity

technique. It uses electrical impedances as input and adaptive neural prediction system for identifying the

type of sediment. The sediments can be classified based on their electrical resistivity into different

categories such as mud, sand, gravel. This system uses physical properties for classification this makes

adaptive algorithm easier to learn and reduces processing time.

Healthcare Monitoring System Using Body Sensor Network

Sonali Suresh Shelke, Prof. Smita A. Bhosale

[email protected]


ABSTRACT

From last few years, in the field of research new idea has emerged associated to challenges of monitoring

and control of health parameters accurately. Nowadays there is major issue to monitor health problems of

elderly peoples or patients. It becomes important to monitor their medical parameters and post operational

data without disturbing their routine. Hence the concept of health care communication using Internet of

Things (IOT) is adapted to monitor and control patient’s medical parameters in local and remote area.

This system includes a central supervisory control over patient and access to health care professional

databases for assigning suitable health care professionals to the patient and for performing task planning.

The main goal of this project is transmission of health parameters of patient through wireless

communication. All medical data are uploaded in cloud server and then it is transmitted to computer and

mobile of family members and doctor. Thus, in this paper we discuss how to build healthcare monitoring

system using Internet of things technology as communication platform.

Implementing IoT for SMART local bus transport management system

Vishal Kamalakar Pawar, Prof. N. P. Bhosale

[email protected]


ABSTRACT

The poor state of local Public transport Management in India has shown need to build SMART local bus

transport management system. Current management system for local Public transport has no way to track

vehicle in real time. Transport Managers lack information in real time. The status data is compiled and

reported monthly or weekly bases. The analyses of frequency routes, Footfall of Passengers on routes,

fuel Level and Mechanical status of vehicles are not available in real time. These parameters determine

the profitability of Public transport organization. Even Passengers don’t have adequate information on the

Vehicle and route. Here, the paper discuss Internet of thing (IoT) based model to solve this problem.


Use of Artificial Neural Network for the prediction of performance of Diesel

Engine using Biodiesel.

Suryavanshi Rakhi Shankarlal, Prof. N. P. Bhosale

[email protected]


ABSTRACT

The experimental investigation of performance of the Diesel engine using Biodiesel is very time

consuming and costly. This project aims at use of Artificial Neural Network (ANN) to predict the

performance of Diesel engine using Biodiesel. For proposed ANN model, the data required for training

and testing was collected from single cylinder four stroke Diesel engine blended with biodiesel fuel and

operated at different loads. Engine loads, Biodiesel blends and compression ratio were used as input

parameters and break thermal efficiency and specific fuel consumption were used as performance

parameters. Using some of the experimental data for training and testing, based on the back propagation

algorithm ANN model was developed to predict the performance. ANN predictions results were

compared with the experimental results. ANN results showed a good correlation between the predicted

values and experimental values. This shows that ANN can be used as an alternative to classical modeling

techniques.

Image Stegnography Using Adaptive LSB Substitution

Satish Chandrakant Chikhale, Prof. Bhosale S.A

[email protected]


ABSTRACT

Steganography is the art and science of hiding the secret data into an image so that it can be securely

transmitted over a network. Any digital file such as image, video, audio, text or IP packets can be used to

hide secret message. Generally the file used to hide data is referred to as cover object, and the term stego-

object is used for the file containing secret message. Among all digital file formats available nowadays

image files are the most popular cover objects because they are easy to find. Steganography has many

technical challenges such as high hiding capacity and imperceptibility. This paper proposes a novel

steganography scheme based on Least significant bit. And we create a four digit password while hiding

and extraction. The optimal pixel adjustment process is applied after embedding the message. We use

LSB for hiding secret data.

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