tech times infinite possibilities tech times · 2019-01-01 · tech times infinite possibilities |...
TRANSCRIPT
TECH TIMES INFINITE POSSIBILITIES Issue II
TECH TIMES Infinite Possibilities
Volume II Issue II
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
Become a department that has good
teaching and research environment for
achieving academic excellence of students
of Computer Science and Engineering and
enabling them to meet emerging
challenges of information technology.
MISSION
M1: To impart strong theoretical
foundations in the field of Computer
Science and Engineering accompanied
with extensive practical training.
M2: To inculcate research and innovation
spirit among students through interaction
with industry and projects that address
societal issues.
PEOS
Solve complex engineering
problems in their core area of
"Computer Science and
Engineering" and in allied
disciplines
Succeed in engineering /
management positions in the core
Computer Science and Engineering
or establish themselves as
entrepreneurs
Communicate well and work
effectively in a team with core
moral values and ethical practices
Engage in improving professional
knowledge through
certificate/post-graduate programs
in engineering or management.
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
PLACEMENT DETAILS
Vision, Mission and PEOs
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.