Transcript

LATEST TRENDS in CIRCUITS, SYSTEMS, SIGNAL PROCESSING and

AUTOMATIC CONTROL

Proceedings of the 5th International Conference on Circuits, Systems, Control, Signals (CSCS '14)

Proceedings of the 2nd International Conference on Acoustics, Speech and Audio Processing (ASAP '14)

Salerno, Italy June 3-5, 2014

Scientific Sponsors:

University of Salerno, Italy

Kingston University

London, UK

International Black Sea University, Tbilisi, Georgia

Parco Nazionale del

Cilento Vallo di Diano e Alburni- Geopark, Italy

Recent Advances in Electrical Engineering Series | 34

ISSN: 1790-5117 ISBN: 978-960-474-374-2

LATEST TRENDS in CIRCUITS, SYSTEMS, SIGNAL PROCESSING and AUTOMATIC CONTROL

Proceedings of the 5th International Conference on Circuits, Systems, Control, Signals (CSCS '14) Proceedings of the 2nd International Conference on Acoustics, Speech and Audio Processing (ASAP '14) Salerno, Italy June 3-5, 2014

Published by WSEAS Press www.wseas.org Copyright © 2014, by WSEAS Press All the copyright of the present book belongs to the World Scientific and Engineering Academy and Society Press. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of the Editor of World Scientific and Engineering Academy and Society Press. All papers of the present volume were peer reviewed by no less that two independent reviewers. Acceptance was granted when both reviewers' recommendations were positive.

ISSN: 1790-5117 ISBN: 978-960-474-374-2

LATEST TRENDS in CIRCUITS, SYSTEMS, SIGNAL PROCESSING and

AUTOMATIC CONTROL

Proceedings of the 5th International Conference on Circuits, Systems, Control, Signals (CSCS '14)

Proceedings of the 2nd International Conference on Acoustics, Speech and

Audio Processing (ASAP '14)

Salerno, Italy June 3-5, 2014

Editors: Prof. Filippo Neri, University of Naples Federico II, Italy Dr. Claudio Guarnaccia, University of Salerno, Italy Committee Members-Reviewers: Vitale Cardone Leonardo Cascini Domenico Guida Joseph Quartieri Stefano Riemma Gianfranco Rizzo Mario Vento Bimal Kumar Bose Narsingh Deo Pierre Borne Wasfy B. Mikhael Yuriy S. Shmaliy D. Subbaram Naidu Tadeusz Kaczorek Demetri Terzopoulos Georgios B. Giannakis Abraham Bers Stamatios Kartalopoulos Brian Barsky Aggelos Katsaggelos Anastassios Venetsanopoulos Nikolaos Paragios Nikolaos G. Bourbakis Lei Xu Sidney Burrus Biswa N. Datta Kamisetty Rao Martin Bohner Martin Schechter Yushun Wang Detlev Buchholz Patricia J. Y. Wong Jim Zhu Ferhan M. Atici Marco Sabatini Gerd Teschke Meirong Zhang George Vachtsevanos Jiri Hrebicek Sorinel Oprisan Gen Qi Xu Humberto Varum Maria Isabel Garcia-Planas Theodore B. Trafalis Panagiotis Agathoklis Imre J. Rudas Brett Nener Ronald Tetzlaff Peter Szolgay Xiang Bai Alexander Gegov Jan Awrejcewicz Carla Pinto

Hamid Reza Karimi Hung-Yuan Chung Elbrous M. Jafarov Bosukonda Murali Mohan Bharat Doshi Gang Yao Lu Peng Pavel Loskot Abdullah Eroglu Francesco Zirilli Yoon-Ho Choi Winai Jaikla Ki Young Kim Ryszard S. Choras Pan Agathoklis Hisashi Kobayashi Leonid Kazovsky Steven Collicott Dimitri Kazakos Stephen Weinstein Dharma P. Agrawal Jose M. F. Moura Vijayakumar Bhagavatula Liang-Gee Chen Ahmed H. Tewfik Jenq-Neng Amir Hussain Gergely V. Zaruba Mohammed Ghanbari C.-C. Jay Kuo Amar Mukherjee Athanassios Manikas Dengsheng Zhang Xingquan Zhu Satnam Dlay W. L. Woo Vyacheslav Tuzlukov Stevan Berber Alexander Zemliak Zoran Bojkovic Etsuji Tomita Lawrence Mazlack Tomas Zelinka Andrzej Chydzinski Ivan G. Avramidi Michel Chipot Xiaodong Yan Ravi P. Agarwal Wasfy B Mikhael Aboubekeur Hamdi-Cherif Ali Yousef Arvind Dhingra Atef Elemary

Boonruk Chipipop Caio Fernando Fontana Calin Ciufudean Cledson Akio Sakurai Dana Anderson Dib Karam Dost Muhammad Khan Ehsan Kamrani Inácio Fonseca Jianqiang Gao Joao Carmo Kandarpa Kumar Sarma Leopoldo Yoshioka Libor Pekar Luigi Pomante Lungu Mihai Aureliu Maha George Zia Mirjana Bonkovic Muhammad Naufal Mansor Mutamed Khatib Nikos Loukeris Ramadan Mohamed Ramoni O. Adeogun S. Saravanan Swapnadip De Tiberiu Socaciu Umer Asgher Vijay Kumar G Yilun Shang Yuqing Zhou Zahéra Mekkioui

Table of Contents

Plenary Lecture 1: Pseudospectral Structure of the Singular Vectors of Nonstationary Time Series

11

Alexander Milnikov

Plenary Lecture 2: Robust Algorithms of Signal Processing 12

Tõnu Trump

Plenary Lecture 3: Novel PDE-based Image Denoising and Restoration Models 13

Tudor Barbu

Plenary Lecture 4: A Comparative Study on Network Sensitivity Analysis by Using Some Kinds of Signal-Flow Graphs

14

Georgi A. Nenov

Plenary Lecture 5: Performance Improvement Using Diversity Techniques in Wireless Communication Systems over Correlated Fading Channels

15

Dragana Krstic

Plenary Lecture 6: DoS Attack Detection in Internet-Connected Vehicles 16

Tarek Saadawi

Plenary Lecture 7: The Use of Meta-Optimization for Parameter Selection in Machine Learning 17

Filippo Neri

Plenary Lecture 8: The Emulation of Non-Linear Acoustic Devices 18

Lamberto Tronchin

Online Frequency Estimation in Power Systems: A Comparative Study of Adaptive Methods 19

Anh Tuan Phan, Gilles Hermann, Patrice Wira

Cerebra as Fractal Neural Vector-Machines 28

Thomas Kromer

CTA Diffusion based Recursive Energy Detection 38

Ahti Ainomae, Tonu Trump, Mats Bengtsson

Level Crossing Rate of Product of Two α-k-µ Random Variables 48

Dragana Krstić, Mihajlo Stefanović, Vladeta Milenković, Djoko Bandjur

A Comparative Study on Symbolic Network Sensitivity Analysis by Using Some Kinds of Signal-Flow Graphs

54

Georgi A. Nenov

Outage Probability of a Robust Antenna Array 64

Egon Astra, Tonu Trump

Latest Trends in Circuits, Systems, Signal Processing and Automatic Control

ISBN: 978-960-474-374-2 7

A New Approach to Detecting Deterministic Periodic Components in Noise 70

D. Datuashvili, C. Mert, A. Milnikov

Distillation Control: Type-1 and Type-2 Fuzzy Control Application 76

Michele Miccio, Bartolomeo Cosenza

Statistical Analysis of Imaging Encryption Using Chaos 86

Didier Lopez-Mancilla, Juan H. Garcia-Lopez, Rider Jaimes-Reategui, Roger Chiu, Edgar Villafaña-Rauda, Carlos E. Castañeda-Hernandez, Guillermo Huerta-Cuellar Development of 2D, Ultra-Simple, Low-Cost, Optical Range TOF ScanLaser 91

Mihai Serbanescu, Mihaiela Iliescu, Marian Lazar, Calin Ciufudean

Pseudospectral Structure of the Singular Vectors of Nonstationary Time Series 97

A. Milnikov

The Use of Meta-Optimization for Parameter Selection in Machine Learning 103

Filippo Neri, Michel Camilleri

MS Excel as Tool for Simulation of Static and Dynamic Systems 108

Stepan Hubalovsky, Marie Hubalovska, Michal Musilek

Performance Evaluation of Apriori Algorithm on a Hadoop Cluster 114

Janos Illes, Istvan Vajk

Nonlinear Diffusion-based Image Restoration Model 122

Tudor Barbu

Distributed Adaptive Network Performance with Static Topology and Unweighed Communication

126

Sander Ulp, Tonu Trump

A Robust AVR-PSS Design Based on H2 and H∞ Control Techniques- Implementation Under GUI/Matlab

131

Djamel Eddine Ghouraf, Abdellatif Naceri, Amina Derrar

Acoustic Noise Levels Predictive Model Based on Time Series Analysis 140

Claudio Guarnaccia, Joseph Quartieri, Nikos E. Mastorakis, Carmine Tepedino

Optimization in Predictive Control Algorithm 148

Jan Antoš, Marek Kubalčík

Solution for Angular Position Control of the Video Cameras in Closed Circuit Television Systems

154

Daniel Popescu, Călin Ciufudean

The Classification of Metastatic Bone Disease with Multifractal Analysis of Microscopic Images 160

Jelena Vasiljevic, Lamberto Tronchin, Branimir Reljin, Jelena Sopta

Latest Trends in Circuits, Systems, Signal Processing and Automatic Control

ISBN: 978-960-474-374-2 8

Design of High gain and Low Offset CMOS Current Mode Front End Operational Amplifier 165

R. Shantha Selva Kumari, M. Vijayalakshmi

Time Series Model Application to Multiple Seasonality Acoustical Noise Levels Data Set 171

Claudio Guarnaccia, Joseph Quartieri, Eliane R. Rodrigues, Carmine Tepedino

Visual Data Mining and the Creation of Inductive Knowledge Base 181

Nittaya Kerdprasop, Kittisak Kerdprasop

An Advanced Robust H2-PSS Implemented Under GUI/MATLAB 187

Wahiba Kabi, Djamel-Eddine Ghouraf, Abdellatif Naceri

System for Evaluation of the Static Posturography Based on Wii Balance Board 193

L. Pivnickova, V. Dolinay, V. Vasek

Modified 16-b Square-Root CSLA with Modified Area Efficient Carry Select Adder to Reduce Area and Power

199

R. P. Meenaakshi Sundhari, R. Anita

Implementation of Chaotic Systems for Secure Communications in Embedded DSP System 206

Roger Chiu, Juan H. Garcia-Lopez, Rider Jaimes-Reategui, Edgar Villafaña-Rauda, Carlos E. Castañeda-Hernandez, Guillermo Huerta-Cuellar, Didier Lopez-Mancilla Aspect of Aggregation Methods of Optical Flow Feature Displacements for Orientation Estimation

211

Laszlo Kundra, Peter Ekler

Power Reduction in OFDM Systems using Tone Reservation with Customized Convex Optimization

219

V. Nandalal, V. Kiruthika

Home E-Commerce System 225

Corneliu Buzduga, Calin Ciufudean

Advanced AVR-PSS Based H∞ Approach for Powerful Synchronous Generators Implemented Under GUI / MATLAB

230

Djamel Eddine Ghouraf, Abdellatif Naceri

Formal Verification in Autonomic-Component Ensembles 238

Archil Prangishvili, Otar Shonia, Irakli Rodonaia, Medhat Mousa

Analytical Modeling and Characterization of TSV for Three Dimensional Integrated Circuits 244

G. Subhashini, J. Mangaiyarkarasi

Backstepping Control Based Three Phase Shunt Active Power Filter 250

I. Ghadbane, M. T. Benchouia

Hautant's Test Based on Kinect Skeleton Tracking Feature 257

Viliam Dolinay, Lucie Pivnickova, Vladimir Vasek

Latest Trends in Circuits, Systems, Signal Processing and Automatic Control

ISBN: 978-960-474-374-2 9

PAPR Reduction in OFDM Systems using Customized Convex Optimization in Differential Scaling

262

B. Gayathri, V. Nandalal

SAM-based Image Indexing and Retrieval System using LAB Color Characteristics 266

Tudor Barbu, Adrian Ciobanu, Mihaela Luca

An Analytical Model for the Aerodynamic Noise Prediction of an High-Speed Train Pantograph 271

M. Viscardi, D. Siano, P. Napolitano, F. Donisi

Dynamic Chaotic Approach to Sequence Generation for Use in StochasticWireless Channels 281

Anamika Sarma, Kandarpa Kumar Sarma, Nikos Mastorakis

Dependability in Cyber-Physical Systems Network Applications 286

Miroslav Sveda

Generation of Orthogonal Logistic Map Sequences for Application in Wireless Channel and Implementation using a Multiplierless Technique

292

Katyayani Kashyap, Manash Pratim Sarma, Kandarpa Kumar Sarma, Nikos Mastorakis

The Use of Carbon Nanotubes Applied to Plastic Substrates for the Construction of a Passive Antenna

297

Jiri Matyas, Robert Olejnik, Karel Vlcek, Petr Slobodian

Analog Non-Linear Function Synthesizer: HSPICE Design and Simulation 301

Madina Hamiane

An Edge Detection Scheme for Endodontic Working Length Measurement in Root Canal Treatment for Succedaneous Teeth

306

K. Padma Vasavi, N. Udaya Kumar, M. Madhavi Latha, E. V. Krishna Rao

Comparative Study of the Timetable Constraint Satisfaction Problem 314

A. A. Ojugo, I. J. B. Iyawa, F. O. Aghware, M. O. Yerokun, E. Ugboh

Wireless USB-FM Transmitter using ROHM® BU9458kv Semiconductor chip in VQFP-64 Packaging

324

Areeb Ahmed

Design and Implementation of RLS Algorithm using Orthogonal Triangulrization and Hardware Software Co-Design

332

N. Nandhagopal, M. Selvaraj

Design of Modern and Predictive Controllers for Aircraft Control System 344

Amir Torabi, Ali Karsaz, Seyed Kamaleddin Mousavi Mashhadi

Authors Index 349

Latest Trends in Circuits, Systems, Signal Processing and Automatic Control

ISBN: 978-960-474-374-2 10

Plenary Lecture 1

Pseudospectral Structure of the Singular Vectors of Nonstationary Time Series

Profesor Alexander Milnikov Department of Informatics and Control Systems

Georgian Technical University Department of Computer Technologies and Engineering

International Black Sea University Georgia

E-mail: [email protected]

Abstract: It is proved, that m principal singular vectors of a matrix , constructed on the base of a time series, contained m periodical deterministic components with additive white noise, have equal pseudospectrums and their pseuvdospectral structure is identical to the time series’ one. Exact definitions of a conception of the pseuvdospectral structures are introduced, as well as a numerical criterion of their identity. Detecting of singular vectors having identical pseuvdospectral structures allows predefining the number of periodical deterministic components and separating principal and the other singular components from each other. Brief Biography of the Speaker: A. Milnikov holds a Bs/Ms in Electronic Engineering, a PhD in Electric Engineering (1978) and a Doctor of Sciences in Applied Mathematics (2002) from the Technical University of Georgia. He works as a full professor of: International Black Sea University (Tbilisi, Georgia) (1994-present), Technical University of Georgia (1999-present), Georgian Academy of Scineces, Institute of Applied Mechanics (1980-present), Academician (1980-1988), Leading Academician (1989-2005), Principal Academician (2005-present). Also he worked as a Dean of the Computer Technologies and Engineering Faculty at the International Black Sea University (1994-2008). His research interests include: the Electrical Circuits Theory, Modern Geometry (Differential Geometry and Tensorial Analysis), Statistics, Random Processes, Signals Theory and Digital Processing, Filters Design. He has more than 80 publications, qmong them 10 in impact journals, 15 proceedings in WSEAS and Other International Conferences.

Latest Trends in Circuits, Systems, Signal Processing and Automatic Control

ISBN: 978-960-474-374-2 11

Plenary Lecture 2

Robust Algorithms of Signal Processing

Professor Tõnu Trump Department of Radio and Telecommunication Engineering

Tallinn University of Technology Estonia

E-mail: [email protected]

Abstract: This talk concentrates on using the robust statistics in developing signal processing algorithms. Robust statistics continue to gain importance because of increasing amount of environments where noise is impulsive, not Gaussian. Impulsive noise can be seen as the reason of having outliers in the data and signal processing algorithms designed for Gaussian noise cannot cope with the impulsive noise well. The plenary talk breafly reviews the common teqhniques for estimation and detection designed for Gaussian noise. We then highlight the weeknesses of the ordinary technuques when used in the environment with impulsive noise. After that we introduce robust statistics and discuss several robust techniques for estimation and detection. Brief Biography of the Speaker: Tõnu Trump received his Ph.D. degree from Tallinn University of Technology in 1993. He was from 1994 to 2006 with Ericsson AB in Stockholm Sweden, where he reached the position of expert in echo cancellation and voice enhancement devices. From 2002 to 2006 he was also the rapporteur of Question 17, Study Group 16 at International Telecommunication Union (ITU-T) in Geneva Switzerland. Since 2006 he has been the professor of Signal Processing at Tallinn University of Technology in Tallinn, Estonia. Prof. Trump has published a number of scientific papers and is the author of more than 10 patents.

Latest Trends in Circuits, Systems, Signal Processing and Automatic Control

ISBN: 978-960-474-374-2 12

Plenary Lecture 3

Novel PDE-Based Image Denoising and Restoration Models

Professor Tudor Barbu Institute of Computer Science

Romanian Academy Romania

E-mail: [email protected]

Abstract: Over the last few decades, the mathematical models have been increasingly used in some traditionally engineering domains like signal and image processing, analysis, and computer vision. Numerous image processing and analysis methods making use of partial differential equation based algorithms and variational calculus have been developed recently. The PDE-based techniques have been widely used in these fields in the past years because of their modeling flexibility and some advantages of their numerical implementation. Image denoising and restoration represent an important image processing domain that has been successfully approached using the PDE-based models. The nonlinear PDE-based approaches are able to smooth the images while preserving their edges, also avoiding the localization problems of linear filtering. Since P. Perona and J. Malik introduced their influential anisotropic diffusion scheme in 1987, many nonlinear diffusion equation based image noise removal techniques have been proposed. In image processing it is very common to obtain the nonlinear PDEs from some variational problems. The variational models have important advantages in both theory and computation, compared with other techniques. An influential variational denoising and restoration model was developed by Rudin, Osher and Fetami in 1992. Their technique, named Total Variation (TV) denoising, is based on the minimization of the TV norm. We have proposed numerous PDE-based image denoising and restoration techniques in recent years. Thus, we have developed both diffusion-based filtering approaches and variational PDE denoising solutions. Both linear and nonlinear diffusion equation based techniques have been modeled. A novel linear anisotropic diffusion approach based on a modified Gaussian filter kernel will be described. Also, we present some robust nonlinear anisotropic diffusion based techniques, derived from and improving the Perona-Malik denoising scheme. Various diffusivity functions are used by these smoothing algorithms. Several novel variational PDE-based denoising and restoration approaches, based on some properly chosen minimization problems, will be also described. Brief Biography of the Speaker: Dr. Tudor Barbu is currently Senior Researcher I at the Institute of Computer Science of the Romanian Academy, in Iasi, Romania. He is the coordinator of the Image and Video Processing and Analysis research collective of the institute and also member of the leading Scientific Council of this institute. Mr. Barbu has a PhD degree in Computer Science, awarded by the Faculty of Automatic Control and Computers of the University “Politehnica” of Bucharest. He published 2 books and 4 book chapters as main author. Also, dr. Tudor Barbu published more than 70 articles in prestigious international journals and volumes of international scientific events (conferences, symposiums and workshops). His scientific activity also includes more than 35 research reports, elaborated with the institute research team coordinated by him or related to various research projects. His scientific publications have got over 120 citations, according to Google-Academic. In recent years he also coordinated various research directions in 6 projects based on contracts/grants. Dr. Tudor Barbu received also several awards for his research results, the most important being the Romanian Academy Prize “Gheorghe Cartianu”, in the Information Science and Technology domain, awarded on December 18, 2008. He is member of several conference scientific committees and also member of scientific and technical committee and editorial review boards of some journals. He is the Editor in Chief of a book. His main scientific areas of interest are: digital media (audio, video and image) signal processing and analysis, pattern recognition, computer vision, multimedia information storage, indexing and retrieval, biometric authentication using voice, face and digital fingerprint recognition, and partial differential equations.

Latest Trends in Circuits, Systems, Signal Processing and Automatic Control

ISBN: 978-960-474-374-2 13

Plenary Lecture 4

A Comparative Study on Network Sensitivity Analysis by Using Some Kinds of Signal-Flow Graphs

Professor Georgi A. Nenov Higher School of Transport “Todor Kableshkov”

Sofia, Bulgaria E-mail: [email protected]

Abstract: The actual progress in the area of the efficient methods for electrical circuit analysis and synthesis is closely connected with the problems of sensitivity determination of the realized structures. Usually the proposed until now approaches for sensitivity calculation are directed to the obtaining of a symbolic form of searched expressions and to an avoiding the direct differentiation of the complicate expressions of network functions. This task often reaches its decision by using signal-flow graph representation of the network relationships. Interesting results in this topic are based on Mason’s graphs, Coates’s graphs and Chan-Mai’s graphs. The matter of the paper presented consists in the comparison of some signal-flow graph methods for first- and higher order network symbolic sensitivity determination concerning their advantages and specific applicability. Brief Biography of the Speaker: Georgi A. Nenov graduated from Technical University, Sofia, Bulgaria in 1962. He worked as an Assistant Professor in Technical University, Varna, Bulgaria (1963-1966), as a Scientific Researcher in Institute of Instrument Design in Sofia (1966-1974) and in Institute of Technical Cybernetics, Bulgarian Academy of Sciences in Sofia (1974-1980), as an Associate Professor in University “Prof. Dr Assen Zlatarov”, Bourgas, Bulgaria (1980-1988) and as an Associate Professor (1988-1995) and Professor (1995) in Higher School of Transport “Todor Kableshkov, Sofia. Prof Nenov defend in 1973 a PhD dissertation on active circuit synthesis and in 1991, a Dr.Sc dissertation on analysis and synthesis of SC-networks. He is a Senior Member of IEEE and a member of Bulgarian Scientific Found. The research interests of Prof. Nenov are in the field of electrical network analysis and synthesis, network sensitivity and neural networks. He is an author and co-author of more than 120 journal and conference papers, 3 books and 1 invited book chapter.

Latest Trends in Circuits, Systems, Signal Processing and Automatic Control

ISBN: 978-960-474-374-2 14

Plenary Lecture 5

Performance Improvement Using Diversity Techniques in Wireless Communication Systems over Correlated Fading Channels

Professor Dragana Krstic Department of Telecommunications Faculty of Electronic Engineering

University of Nis SERBIA

E-mail: [email protected]

Abstract: In wireless communications, fading is deviation of the attenuation affecting a signal over propagation media. The fading may vary with time, geographical position or frequency, and it is modeled as a random process. A fading channel is a communication channel containing fading. In wireless systems, fading may either be due to multipath propagation,called multipath fading, or due to shadowing from obstacles affecting the wave propagation. Various statistical models explain the nature of fading and several distributions describe the envelope of the received signal: Rayleigh, Rice, Nakagami-m, Hoyt, Weibull, a-m, k-m, … A log-normal or gamma distribution model the average power to account for shadowing. Diversity technique is one of the most used methods for minimizing fading effects and increasing the communication reliability without enlarging either transmitting power or channel's bandwidth. In communication systems where antennas are sufficiently apart, it is considered there is no correlation between transmitted signals, as well as between interferences at the reception. However, it can not be always done in practice because there is insufficient antenna spacing when diversity is applied in small devices. Because of that, the performance of diversity systems in which there is a correlation between transmitted signals and between interferers have to be considered also. Brief Biography of the Speaker: Dragana S. Krstic was born in Pirot, Serbia. She received the BSc, MSc and PhD degrees in electrical engineering from Department of Telecommunications, Faculty of Electronic Engineering, University of Nis, Serbia, in 1990, 1998 and 2006, respectively. Her field of interest includes telecommunications theory, wireless communication systems, satellite communication systems etc. She works at the Faculty of Electronic Engineering in Nis since 1990. She participated in more Projects which are supported by Serbian Ministry of Science. She has written or co-authored more then 170 papers, published in Journals and at the International/National Conferences. She has also reviewed many articles in IEEE Transactions on Communications; IEEE Communications Letters; ETRI journal; C&EE Journal; Elektronika ir Elektrotechnika and other prominent journals. She is the reviewer of the papers for many conferences and the member of technical program committees and international scientific committees of several scientific conferences. Also, she is the member of Editorial Board of International Journal on Advances in Telecommunications.

Latest Trends in Circuits, Systems, Signal Processing and Automatic Control

ISBN: 978-960-474-374-2 15

Plenary Lecture 6

DoS Attack Detection in Internet-Connected Vehicles

Professor Tarek Saadawi City University of New York

USA E-mail: [email protected]

Abstract: The new generations of the Intelligent Transportation Systems depend heavily on communication between vehicles and road-side equipment using IEEE 802.11P and to the Internet via Wi-Fi and cellular technologies. The topic of this presentation is limited to vehicles connected to the Internet via Wi-Fi technology using IEEE 802.11b. The growing list of vehicle manufacturers that include Wi-Fi capabilities to cars to enable the Internet access coupled with the government plans to expand Wi-Fi access to the roads raises the challenges to secure the wireless networks to combat malicious users. In this presentation, we present a method to detect and identify malicious users that attempt to capture the Wi-Fi channel. Malicious user aims to disrupt the communication in the physical range of the hotspot. The disruption of communications can jeopardize the safety of the commuters when real-time applications that require Internet connection, such as road conditions, incidents and traffic updates, are running. We discuss a light weight technique to detect the Denial of Service (DoS) behavior applied by malicious users in Internet-connected vehicles using Wi-Fi to access the Internet via hotspots installed on the roads. Malicious nodes manipulate the IEEE 802.11 DCF standards to illegally gain extra throughput and increase the probability of having a successful packet transmission on the expense of the honest users that follow the protocol standards. The theoretical network throughput is derived using two-dimensional Markov Chain to determine the network capacity. Results obtained by the theoretical computations are validated by network simulation to determine the baseline for the maximum achievable throughput in the network under fair conditions where all nodes follow the IEEE standards. An approach is presented to enable all the nodes in IEEE 802.11 network with a mechanism to detect and identify the malicious nodes in a distributed environment. Results are presented to prove the effectiveness and feasibility of the proposed algorithm. Brief Biography of the Speaker: TAREK N. SAADAWI received the B.Sc. and the M.Sc. from Cairo University Egypt in 1973 and 1975 respectively and the Ph.D. from the University of Maryland, College Park in 1980 (all in Electrical Engineering). Since 1980 he has been with the Electrical Engineering Department, The City University of New York, City College where he currently directs the Center of Information Networking and Telecommunications (CINT) and a Professor teaching courses in Network security, computer networks, local area network, communications systems and information theory. His current interests are telecommunications networks security, high-speed networks, multimedia networks, mobile ad-hoc networks and transport layer protocols. He has published extensively in the area of telecommunications networks. He is a co-editor of the book "Cyber Infrastructure Protection," Strategic Study Institute, volume 1, May 2011, and Volume 2 August 2013, and Co-author of the book, Fundamentals of Telecommunication Networks," John Wiley & Sons, 1994 (which has been translated into Chinese) and. Dr. Saadawi is the co-Chair and co-Organizer of NSF Workshop on Cyber Security, Cairo-Egypt, May 27-30, 2013 and was a Member of the Consortium Management Committee for the Army Research Lab (ARL) Consortium on communications and networks; known as the Collaborative Technology Alliances on Communications and Networks, (1996 – 2011). He is a Senior Member of IEEE, former Technical Editor of IEEE Communications, and former Chairman of IEEE Computer Society of New York City (1986-87). He has received IEEE Region 1 Award, 1987, and the Nippon Telegraph and Telephone (NTT) of America for research on Broadband Telecommunication Networks. Dr Saadawi is a co-founder of IEEE Symposium on Computers and Commuications (ISCC is in its 18th series). Dr Saadawi and has been invited and joined US Dept of Commerce Delegation to the Government of Algeria to address rural communications. He also led a group of US experts to provide a telecommunications master plan for the Government of Egypt under US AID funding.

Latest Trends in Circuits, Systems, Signal Processing and Automatic Control

ISBN: 978-960-474-374-2 16

Plenary Lecture 7

The Use of Meta-Optimization for Parameter Selection in Machine Learning

Professor Filippo Neri Dept. of Electrical Engineering and Computer Science

University of Naples Federico II Italy

E-mail: [email protected]

Abstract: The process of identifying the optimal parameters for an optimization algorithm or a machine learning one is a computationally expensive one and it usually requires the search of a large, possibly infinite, space of candidate parameter sets. This process does not have any guarantee of optimality. Various attempts have been made to automate this process. I will describe my current research in the field by describing a methodological approach of using a simple genetic algorithm to approximate the optimal parameter setting for machine learning system on given datasets. Brief Biography of the Speaker: Prof. Filippo Neri is currently with the Dept. of Electrical Engineering and Computer Science at University of Naples Federico II, Italy. Prof. Filippo Neri is currently Editor in Chief of WSEAS Transactions on Systems. Prof. Filippo Neri has wide experience in the area of artificial intelligence, machine learning, and software agent simulation. He had the opportunity to work both in academic and industrial environments including Ericsson's and Unlever's R&D centers and across three countries in the European Union (Italy, Ireland and UK). He has studied and visited at several important academic institutions including Carnegie Mellon University, Imperial College London, University of Milano, University of Torino, University of Malta. He is a Marie Curie Fellow and a ADI associate, the Italian PhD association. Finally he has served in the program committees and as reviewer at several international conferences.

Latest Trends in Circuits, Systems, Signal Processing and Automatic Control

ISBN: 978-960-474-374-2 17

Plenary Lecture 8

The Emulation of Non-Linear Acoustic Devices

Professor Lamberto Tronchin DN - CIARM

University of Bologna Italy

E-mail: [email protected]

Abstract: The emulation of audio devices (as valve amplifier, musical instruments, etc) represents an important research topic. The most important method utilised to obtain information about an audio system is based on the measurement of its impulse response (IR). Once the IR has been caught, it is possible to recreate, by the use of linear convolution, the output signal that the audio system will generate when it is physically driven by any input signal. This method gives great results if the system is linear and time-invariant (environments behaviour is much linear and therefore its reverberant effect can be faithfully recreated using IRs) but not satisfactory in other cases, such as the emulation of tube preamps (mainly nonlinear), musical instruments and valve amplifiers. By using Hammerstein or Wiener series it is possible to represent the input-output relationship of nonlinear systems. These two methods could be generalised using Volterra model. It uses a set of impulse responses to describe the system and not only one as before. By an enhanced impulse response measurement method it is possible to obtain this set of impulses and then with Volterra series it would be possible to have the output of the audio system driven by any input. A special numerical tool has been developed to recreate the system behaviour by using this method. Finally, satisfactory results have been obtained in comparison with the traditional linear convolution based approach, and will be shown during the lecture. Brief Biography of the Speaker: Dr Lamberto Tronchin is Associate Professor in Environmental Physics from the University of Bologna and is recognised internationally as a leading authority on the subject of sound and acoustics. A pianist himself, with a diploma in piano from the Conservatory of Reggio Emilia, Dr Tronchin's principal area of research has been musical acoustics, room acoustics and signal processing. He is Associate Editor of the Journal of AES, and the author of more than 190 papers and was Chair of the Musical Acoustics Group of the Italian Association of Acoustics from 2000 to 2008. Dr Tronchin is a member of the Scientific Committee of the CIARM, the Inter- University Centre of Acoustics and Musical research, has chaired sessions of architectural and musical acoustics during several international symposiums, been a referee for a number of International journals and is Chair of Organising and Scientific Committees of IACMA (International Advanced Course on Musical Acoustics). He was a visiting researcher at the University of Kobe in Japan, a visiting professor at the University of Graz in Austria and Special honored International Guest at the International Workshop, ‘Analysis, Synthesis and Perception of Music Signals', at Jadavpur University of Kolkata, India in 2005. He has chaired the International Advanced Course on Musical Acoustics (IACMA), organised with the European Association of Acoustics, which was held in Bologna, in 2005. In 2008 and 2009 he gave plenary lectures at International Congresses on Acoustics in Vancouver, Prague, Bucharest, Santander, Kos, Malta, Paris and Cambridge (UK). He designed theatres and other buildings, as acoustic consultant, in collaboration with several Architects, among them Richard Meier and Paolo Portoghesi.

Latest Trends in Circuits, Systems, Signal Processing and Automatic Control

ISBN: 978-960-474-374-2 18

Authors Index

Aghware, F. O. 314 Jaimes-Reategui, R. 86, 206 Phan, A. T. 19 Ahmed, A. 324 Kabi, W. 187 Pivnickova, L. 193, 257 Ainomae, A. 38 Karsaz, A. 344 Popescu, D. 154 Alkhateeb, A. 338 Kashyap, K. 292 Prangishvili, A. 238 Anita, R. 199 Kerdprasop, K. 181 Quartieri, J. 140, 171 Antoš, J. 148 Kerdprasop, N. 181 Rao, E. V. K. 306 Astra, E. 64 Khalaf, E. 338 Reljin, B. 160 Awedh, M. 338 Kiruthika, V. 219 Rodonaia, I. 238 Bandjur, D. 48 Kromer, T. 28 Rodrigues, E. R. 171 Barbu, T. 122, 266 Krstić, D. 48 Sarma, A. 281 Benchouia, M. T. 250 Kubalčík, M. 148 Sarma, K. K. 281, 292 Bengtsson, M. 38 Kumar, N. U. 306 Sarma, M. P. 292 Buzduga, C. 225 Kumari, R. S. S. 165 Selvaraj, M. 332 Camilleri, M. 103 Kundra, L. 211 Serbanescu, M. 91 Castañeda-Hernandez, C. E. 86, 206 Latha, M. M. 306 Shonia, O. 238 Chiu, R. 86, 206 Lazar, M. 91 Siano, D. 271 Ciobanu, A. 266 Lopez-Mancilla, D. 86, 206 Slobodian, P. 297 Ciufudean, C. 91, 154, 225 Luca, M. 266 Sopta, J. 160 Cosenza, B. 76 Mangaiyarkarasi, J. 244 Stefanović, M. 48 Daqrouq, K. 338 Mashhadi, S. K. M. 344 Subhashini, G. 244 Datuashvili, D. 70 Mastorakis, N. E. 140, 281, 292 Sveda, M. 286 Derrar, A. 131 Matyas, J. 297 Tepedino, C. 140, 171 Dolinay, V. 193, 257 Meenaakshi Sundhari, R. P. 199 Torabi, A. 344 Donisi, F. 271 Mert, C. 70 Tronchin, L. 160 Ekler, P. 211 Miccio, M. 76 Trump, T. 38, 64, 126Garcia-Lopez, J. H. 86, 206 Milenković, V. 48 Ugboh, E. 314 Gayathri, B. 262 Milnikov, A. 70, 97 Ulp, S. 126 Ghadbane, I. 250 Mousa, M. 238 Vajk, I. 114 Ghouraf, D. E. 131, 187, 230 Musilek, M. 108 Vasavi, K. P. 306 Guarnaccia, C. 140, 171 Naceri, A. 131, 187, 230 Vasek, V. 193, 257 Hamiane, M. 301 Nandalal, V. 219, 262 Vasiljevic, J. 160 Hermann, G. 19 Nandhagopal, N. 332 Vijayalakshmi, M. 165 Hubalovska, M. 108 Napolitano, P. 271 Villafaña-Rauda, E. 86, 206 Hubalovsky, S. 108 Nenov, G. A. 54 Viscardi, M. 271 Huerta-Cuellar, G. 86, 206 Neri, F. 103 Vlcek, K. 297 Iliescu, M. 91 Noeth, E. 338 Wira, P. 19 Illes, J. 114 Ojugo, A. A. 314 Yerokun, M. O. 314 Iyawa, I. J. B. 314 Olejnik, R. 297

Latest Trends in Circuits, Systems, Signal Processing and Automatic Control

ISBN: 978-960-474-374-2 349


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