.3

.

TIM COOK

Timothy Donald Cook (born November 1, 1960) is an American business executive and industrial engineer. Cook is the chief executive officer of Apple Inc., and previously served as the company's chief operating officer under its cofounder Steve Jobs.

Born Timothy Donald Cook November 1, 1960 (age 58) Mobile, Alabama, U.S. Employer IBM (1982–1994)Intelligent Electronics (1994–1998), Compaq (1998), Apple Inc. (1998–present) Board of Nike Inc. Signature

Cook joined Apple in March 1998 as a senior vice president for worldwide operations, and then served as the executive vice president for worldwide sales and operations.[5] He was made the chief executive on August 24, 2011, prior to Jobs' death in October of that year. During his tenure as the chief executive, he has advocated for the political reformation of international and domestic surveillance, cybersecurity, corporate taxation, American manufacturing, and environmental preservation.

AUTOMATION

Automation is the technology by which a process or procedure is performed with minimal human assistance.[1] Automation [2] or automatic control is the use of various control systems for operating equipment such as machinery, processes in factories, boilers and heat treating ovens, switching on telephone networks, steering and stabilization of ships, aircraft and other applications and vehicles with minimal or reduced human intervention.

Automation covers applications range from a household thermostat controlling a boiler, to a large industrial control system with ten of thousands of input measurements and output control signals. In control complexity, it can range from simple on-off control to multi-variable high-level algorithms.

Minimum human intervention is required to control many large facilities such as this electrical generating station.

In the simplest type of an automatic control loop, a controller compares a measured value of a process with a desired set value, and processes,

Machine Learning

Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use in order to perform a specific task effectively without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to perform the task.

Machine learning and data mining

Machine learning algorithms are used in a wide variety of applications, such as email filtering, and computer vision, where it is infeasible to develop an algorithm of specific instructions for performing the task. Machine learning is closely related to computational statistics, which focuses on making predictions using computers. The study of mathematical optimization delivers methods, theory and application domains to the field of machine learning.

Data mining is a field of study within machine learning, and focuses on exploratory data analysis through unsupervised learning. In its application across business problems, machine learning is also referred to as predictive analytics. The name machine learning was coined in 1959 by Arthur Samuel. Tom M. Mitchell provided a widely quoted, more formal definition of the algorithms studied in the machine learning field: "A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P if its performance at tasks in T, as measured by P, improves with experience E." This definition of the tasks in which machine learning is concerned offers a fundamentally operational definition rather than defining the field in cognitive terms. This follows Alan Turing's proposal in his paper "Computing Machinery and Intelligence", in which the question "Can machines think?" is replaced with the question "Can machines do what we (as thinking entities) can do?". In Turing's proposal the various characteristics that could be possessed by a thinking machine and the various implications in constructing one are exposed.

ABOUT

STARTUP

Techcrunch

TechCrunch’s Startup Battlefield is the world’s preeminent startup competition. Startup Battlefield features 15-30 top early stage startups pitching top judges in front of a vast live audience, present in person and online.

Teams go through an intensive mini-accelerator for 8 weeks before each event, honing their business models and pitches. Startups pitch on stage for six minutes, followed by an intense question and answer session with top investors, entrepreneurs, and technologists, including prominent Silicon Valley figures like Marissa Mayer, Ron Conway, Fred Wilson and Roelof Botha, among many others – just like an investment pitch meeting.

in such a way that the process stays at its set point despite disturbances. This closed-loop control is an application of negative feedback to a system. The mathematical basis of control theory was begun in the 18th century and advanced rapidly in the 20th.

Automation has been achieved by various means including mechanical, hydraulic, pneumatic, electrical, electronic devices and computers, usually in combination. Complicated systems, such as modern factories, airplanes and ships typically use all these combined techniques. The benefit of automation includes labor savings, savings in electricity costs, savings in material costs, and improvements to quality, accuracy, and precision.

The World Bank's World Development Report 2019 shows evidence that the new industries and jobs in the technology sector outweigh the economic effects of workers being displaced by automation.

The term automation, inspired by the earlier word automatic (coming from automaton), was not widely used before 1947, when Ford established an automation department.] It was during this time that industry was rapidly adopting feedback controllers, which were introduced in the 1930s.

toT TO

BHILAI Institute OF TECHNOLOGY, DURG DEPARTMENT OF INFORMATION TECHNOLOGY

Dear readers,

I am delighted to introduce this edition of the newsletter I-CREATE, we intend it to

make our regular publication and to use to keep up in touch with the news and

developments which relates to the information technology.

I am delighted to introduce this first edition of the I-CREATE newsletter. We intend

to make it a regular publication and to use it to keep you in touch with news and

developments which relate to the information technology and its implementation. In

this and future editions, we shall be reporting decisions and discussions which take

place at the department and at the respective institute. We shall also include other

news details in the upcoming editions.

In this issue Editorial P.1

About Start-up and

articles P2.

Articles and

About a Famous Personality

P.3

Students Achievements and

Modern Gadgets P.4

CHIEF PATRON

Shri I.P. Mishra

PATRON

Dr. Arun Arora

ADVISOR

Dr. Mrs. Ani Thomas

MANAGING EDITORS

Mr. Toshant Kumar

STUDENT MEMBERS

Rajan Sahu

Yashi Dewangan

STUDENT EDITORS

Aishwarya Naik

Ankita Gupta

Mansi Mundhra

Pooja Verma

**For contributing matter to this

newsletter, contact / WhatsApp

the editors on +91-77478-

35555 / 99935-44879

You can help in making this

newsletter even better.!!!

VISION OF THE DEPARTMENT

To produce creative and technically strong IT engineers in order to equip them with the best career prospects in

the global market and to research pioneering solutions for yielding transformative results to Digital India, Smart

India and other Challenges.

MISSION OF THE DEPARTMENT

• To attain academic excellence for acquiring the national and global changing needs through student-centric

learning methodologies.

• To promote all round personality development of the students through interaction with alumni, academia and

industry

• To increase exposure of students to industrial projects

• To integrate across various streams of engineering, sciences, arts, business, and other disciplines to yield

reformative results.

• To Build collaboration and fulfill needs of Social Forums

ISSUE

0F

APRIL

2018

POPULAR GADGETS

1. Drone

A feature-packed drone you can fold up and carry in an anorak pocket. Features a three-way gimbal for rocksteady filming, UHD shooting and a foldable remote control.

2. Connected home

A doorbell with a difference, Hello will record all your callers, use facial recognition and let you speak to visitors, even if you’re out. “A high-end, feature-rich option for a smart video doorbell that looks the part on the front of your house,” says the Guardian.

3. Fitness tracker

It’s sophisticated monitoring tools can track everything from your blood oxygen levels and VO2 max to your sleep cycles and stress levels. And although the band is pretty dainty, its battery can monitor its owner for a week between charging.

Students Achievements

Sl.NO Name of students

Branch, Sem

Type of Competition

Organised By

Level Awards

1 YATHARTH DUBEY, MOHIT KUMAR AGARWAL

IT(4th) CDQ IIT BHU 2nd

2 SHREYANSH JAIN, SHREYANSH JAIN, Vinay Jain, Akansha Verma, Sanya Sareen, Pankaj Choudhary

IT(6th) SMART INDIA HACKATHON

Govt. of India

Final Round

Amongst top 8 batches

3 Rajan Sahu, Mohit Kumar agrawal, Anukriti Banerjee, Kritika Singh, Virendra Jangde, V. Vibha Sharma

IT(4th) SMART INDIA HACKATHON

Govt. of India

Final Round

4 Chandra Prakash, Yashi Dewangan, Mohit Agrawal, Aman Patley, Rajan Sahu

IT(4th) OJAS,2018 BIT, DURG (IT Dept)

Volunteers

5 Anupriya Dutta, Chetali Rathod, Meenal Mallik, Soumya Tiwari, Saurabh Chakraborty

IT(6th) OJAS,2018 BIT, DURG (IT Dept)

Volunteers