TECH TIMES INFINITE POSSIBILITIES Issue II

TECH TIMES Infinite Possibilities

Volume II Issue I

JANUARY 2018

INTERNET OF THINGS IN THIS ISSUE

It is my pleasure in congratulating the editorial board on this pleasant occasion of releasing the newsletter for the period January to June 2017. It is great to find a considerable number of achievements in co curricular and extracurricular activities which certainly prove that our staff and students are adequately equipped and possess necessary skill sets to bring such laurels to the institution. I wish that this number may grow in the years to come. I am sure that publishing a newsletter of this sort containing the achievements of the wards will be recognition to them and I wish them all the very best for future endeavors.

I congratulate the Department of Computer Science and Engineering and

wish the editorial team all the very best.

I am very glad to announce that our department is successfully releasing Volume II: Issue I of newsletter “Tech Times”

Proper communication plays a vital role in the development of a dept. This newsletter will serve to reinforce and allow increased awareness, improved interaction and integration among all of us. It would be a snapshot of the various activities and advancements of CSE GAT.

Speedy collusion detector could make robots better human assistants

Page 2

Supercomputing speeds up deep learning training

Page 2

New way to write magnetic info could pave the way for hardware neural networks

Page 4

Principal’s and Hod’s Address

TECH TIMES INFINITE POSSIBILITIES | Issue II 2

Electrical engineers at the University of California San Diego have developed a faster collision detection algorithm that uses machine learning to help moving objects and weave through complex, rapidly changing environments in real time. The algorithm, dubbed "Fastron," runs up to 8 times faster than existing collision detection algorithms. A team of engineers, led by Michael Yip, a professor of electrical and computer engineering and member of the Contextual Robotics Institute at UC San Diego, will present the new algorithm at the first annual Conference on Robot Learning Nov. 13 to 15 at Google headquarters in Mountain View, Calif. The conference brings the top machine learning scientists to an invitation-only event. Yip's team will deliver one of the long talks during the 3-day conference. The team envisions that Fastron will be broadly useful for robots that operate in human environments where they must be able to work with moving objects and people fluidly. One application they are exploring in particular is robot-assisted surgeries using the da Vinci

Surgical System, in which robotic arm would autonomously perform assistive tasks (suction, irrigation or pulling tissue back) without getting in the way of the surgeon-controlled arms or the patient's organs.

"This algorithm could help a robot assistant cooperate in surgery in a safe way," Yip said.

The team also envisions that Fastron can be used for robots that work at home for assisted living applications, as well as for computer graphics for the gaming and movie industry, where collision checking is often a bottleneck for most algorithms

A problem with existing collision detection algorithms is that they are very computation-heavy. They spend a lot of time specifying all the points in a given space -- the specific 3D geometries of the robot and obstacles -- and performing collision checks on every single point to determine whether two bodies are intersecting at any given time. The computation gets even more demanding when obstacles are moving

A team of researchers from the University of California, Berkeley, the University of California, Davis and the Texas Advanced Computing Center (TACC) published the results of an effort to harness the power of supercomputers to train a deep neural network (DNN) for image recognition at rapid speed.

The researchers efficiently used

1024 Skylake processors on the Stampede2 supercomputer at TACC to complete a 100-epoch Image Net training with AlexNet in 11 minutes -- the fastest time recorded to date. Using 1600 Skylake processors they also bested Facebook's prior results by finishing a 90-epoch Image Net training with ResNet-50 in 32 minutes and, for batch sizes above 20,000, their accuracy was much higher than Facebook's. (In recent years, the Image Net benchmark -- a visual database designed for use in image recognition research -- has played a significant role in

assessing different approaches to DNN training.)

Using 512 Intel Xeon Phi chips on Stampede2 they finished the 100-epoch AlexNet in 24 minutes and 90-epoch ResNet-50 in 60 minutes. "These results show the potential of using advanced computing resources, like those at TACC, along with large mini-batch enabling algorithms, to train deep neural networks interactively and in a distributed way," said Zhao Zhang, a research scientist at TACC, a leading supercomputing center. "Given our large user base and huge capacity, this will have a major impact on science."

Speedy collusion detector could make robots better human

assistants By Madhushree M, 7

th B

byName Style

Supercomputing speeds up deep learning training By Nithin S Bangera 7

th B

TECH TIMES INFINITE POSSIBILITIES | Issue II 3

EVENTS ORGANIZED

Webinar on cloud computing with respect to IoT

Guest Lecture on Sales force Trailhead

WORKSHOPS

Workshop on System Software and Compiler

Design / Operating Systems Laboratory

VISION

To achieve academic excellence and

strengthen the skills to meet emerging

challenges of Computer Science and

Engineering.

MISSION

M1: To impart strong theoretical

foundation in the field of Computer

Science and Engineering accompanied

with extensive practical skills.

M2: To inculcate research and innovation

spirit through interaction with industry and

carry out projects that address societal

needs.

M3: Instil professional ethics and values

with concern for environment

PEOs

PEO1: Succeed in Engineering/ management positions with professional ethics.

PEO2: Engage in improving professional

knowledge through certificate/post-graduate

programs in Engineering or Management.

PEO3: Establish themselves as entrepreneurs and contribute to the society.

PSOs

PSO1: Design, Implement and test system

software and application software to meet

the desired needs.

PSO2: Develop solutions in the area of

communication networks, data base

Systems and computing systems

Vision, Mission and PEOs

Placement Details

TECH TIMES INFINITE POSSIBILITIES | Issue II 4

Much current computer hardware, such as hard drives, use magnetic memory devices. These rely on magnetic states -- the direction microscopic magnets are pointing -- to encode and read information. Exotic magnetic states -- such as a point where three south poles meet -- represent complex systems. These may act in a similar way to many complex systems found in nature, such as the way our brains process information. Computing systems that are designed to process information in similar ways to our brains are known as 'neural networks'. There are already powerful software-based neural networks -- for example one recently beat the human champion at the game 'Go' -- but their efficiency is limited as they run on conventional computer hardware. Now, researchers from Imperial College London have devised a method for writing magnetic information in any pattern desired, using a very small magnetic probe called a magnetic force microscope. With this new writing method, arrays of magnetic nanowires may be able to function as hardware neural networks -- potentially more powerful and efficient than software-based approaches.

Google Glass is an optical head-

mounted display designed in the shape of

a pair of eyeglasses. It was developed by X

(previously Google X) with the mission of

The team, from the Departments of Physics and Materials at Imperial, demonstrated their system by writing patterns that have never been seen before. They published their results today in Nature Nanotechnology Dr Jack Gartside, first author from the Department of Physics, said: "With this new writing method, we open up research into 'training' these magnetic nanowires to solve useful problems. If successful, this will bring hardware neural networks a step closer to reality. As well as applications in computing, the method could be used to study fundamental aspects of complex systems, by creating magnetic states that are far from optimal (such as three south poles together) and seeing how the system responds.

producing a ubiquitous computer. Google Glass displayed information in a smart phone -like hands-free format. Wearers communicated with the Internet via natural language voice commands. Google started selling this product to the public on May 15, 2014. It also had a camera attached to it. A Massachusetts-based company

has developed a system for autism that

runs on Google Glass, including the newly

released Glass Enterprise Edition. Brain

Power, the developer, launched the

“Empower Me” system earlier this month.

New way to write magnetic info could pave the way for hardware neural

networks By Nagashree R, 7

th B

Google Glass Returns as Aid to Autistic Kids By Prasanna M

Hegde, 7th

B

It is a digital coach that runs on smart glasses,

to empower children and adults with autism to

teach themselves social and cognitive skills.

The company said it is using the Google

Glass platform because tablets or phones

require looking down. But the wearable

platforms help people keep heads-up and

hands-free during social interactions.

“Empowering people is my passion,” Brain

Power CEO, Ned Sahin, said in a statement.

“My goal was to use technology and science to

bring people even closer than they ever might

have been,” Mr. Sahin added. Autism

spectrum disorder is characterized by

impaired social interaction, communication

and sensory sensitivities. The system features

a suite of apps. One such app, Emotion

Charades, teaches the user to identify and

understand emotions, which are common

challenges for people with autism. Users look

through the private screen on their smart

glasses and see emojis on either side of their

partner’s face. They select which one they

think matches the facial expression with a

spoken command or a subtle head tilt.

Software detects emotions and voice

commands.

TECH TIMES INFINITE POSSIBILITIES | Issue II 5

FACULTY PUBLICATION

Crossword

SN Title of the paper Publication Authors Name

1 LPG Gas Leakage Detection and Prevention System IJFRCSCE Meenakshi Aishwarya A, Meghana Rao B N, Krishna Prasad R

2 A Novel Integrated framework to ensure better data

quality in Big Data Analytics over Cloud Environment

IJECE C S Sindhu, Nagaratna P Hegde

3 An IOT based Smart Home Automation IJIRCCE Harshitha B S, Rajath Acharya, Ishwar Bhat,

Adithya Bhat, Manoj D

4 Cloud Infrastructure resource allocation for Big Data

Applications

IJIRCCE Priyanka G, Arpita Deshpande, Anusha Rao, Ashik G G, Kavitha S

5 IoT based Traffic Management System IJIRCCE Sowmya M, Anusha P S, Ashwin S Murthy, Joy Steffi Jones, Lynette W Pinto

6 Approach of protocol in Wireless Sensor Network IAETSD Journal for Advanced Research in Applied Sciences

Venugeetha Y, Dr. B P Mallikarjunaswamy

7 Fingerprint Liveness Detection Analysis using Hardware

and Software Parameters to avoid Spoofing

ICEECCOT-2017 in association with IEEE Bangalore

Section.

Dr. Kavitha K S

8 Fraud Detection in Credit Card Transactions by using

Classification algorithms

ICCTCEEC -2017 Dr. Kavitha K S

9 Use of Machine Learning Techniques to help in predicting

Fertilizer usage in Agriculture production

IJISE Dr. Kavitha K S

10 Prediction of Temperature using Linear Regression ICEECCOT Sindhu P Menon, Ramith Bharadwaj, Pooja Shetty

11 A review on Data Aggregation in Wireless Sensor

Networks

International Journal of Wireless Communication

V C Rudramurthy, R Aparna

Across 1. Massive star

5. Cares for, as in offspring

6. An acid in urine

7. "Numbers" abbreviation

8. The planets _ _ _ _ _ the sun.

Down 1. Recent field of physics

2. A type of electricity

3. To change direction

4. Science of matter and energy

TECH TIMES INFINITE POSSIBILITIES | Issue II 6

EDITORS NOTE

Greetings to all!

It gives us immense pleasure to present the Department Newsletter, Volume: II - Issue: II for the semester

August – January 2018.This issue explores the hidden talents, commitment, involvement and achievements of

the Department Students & Staff Community towards their Extra and Co-Curricular activities to the world. It

motivates, enlightens and enables the Student & Staff community to focus on their goals and achieve more.

Thank you for choosing and spending time with this newsletter. We hope, this Newsletter encourages you to

conquer more in your field.

Happy Reading.

Editorial board:

Sushmitha S Vanishree M L Nithin S. Bangera Assistant Professor Assistant Professor Student

AMAZING 28 FACTS ABOUT INDIA

1. India is the world’s largest democracy

2. Chess was invented in India.

3. India is the largest milk producer in the world.

4. Bollywood is the largest producer of films in the world.

5. India is the world’s second largest English speaking country after USA.

6. Khari Baoli in Delhi is Asia’s largest wholesale spice market.

7. Kumbh mela festival the world’s biggest gathering of humans.

8. Snake and ladders originated in India.

9. India has the world’s third largest active army after China.

10. Navi Mumbai in Maharashtra is the world’s largest planned township

11. Indus valley civilization is the world’s oldest civilization.

12. The largest employer in India is the Indian railways, employing over a million people.

13. India has more mosques than any other nation in the world.

14. The four religions born in India – Hinduism, Buddhism, Jainism and Sikhism.

15. Algebra, trigonometry, calculus and number system originated in India.

16. India has the largest amount of vegetarians in the world.

17. Mawsynram receives the highest recorded average rainfall in the world.

18. Until 1986 Diamonds were officially available only in India

19. It’s illegal for foreigners to take Indian currency out of India.

20. DRAS is world’s second coldest inhabited place.

21. India has the world’s second largest roads network covering 1.9 million miles.

22. India has the second largest pool of scientists and engineers in the world.

23. Indian cuisine is the world oldest cuisine known in human history.

24. The world’s highest cricket ground is the HPCA stadium in Himachal Pradesh.

25. India gave the world yoga around 5000 years ago.

26. Varanasi is the oldest continuously inhabited city in the world.

27. The Indian national Kabbadi team has won all the world cups.

28. India has the largest number of post offices in the world.