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Volume 1: Issue II
June 2017
Principal's Address
HOD's Address
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 1: Issue II 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 achievements of CSE GAT.
EDITORS NOTE Greetings to all!
It gives us immense pleasure to present the Department Newsletter, Volume: 1 - Issue: II for the semester
January – July 2017.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.
TECH TIMES Infinite Possibilities
Dr Rana Pratap Reddy N
Principal, GAT
Dr Kavitha C
HOD, CSE, GAT
AI PREDICTS PATIENTS' LIFESPAN
A computer's ability to predict a patient's lifespan simply by looking at images of their organs is a step closer to becoming a reality, thanks to new research led by the University of Adelaide. The research, now published in the Nature journal Scientific Reports, has implications for the early diagnosis of serious illness, and medical intervention. Researchers from the University's School of Public Health and School of Computer Science, along with Australian and international collaborators, used artificial intelligence to analyse the medical imaging of 48 patients' chests. This computer-based
analysis was able to predict which patients would die within five years, with 69% accuracy -- comparable to 'manual' predictions by clinicians. This is the first study of its kind using medical images and artificial intelligence.
"Predicting the future of a patient is useful because it may enable doctors to tailor treatments to the individual," says lead author Dr Luke Oakden-Rayner, a radiologist and PhD student with the University of Adelaide's School of Public Health. "The accurate assessment of biological age and the prediction of a patient's longevity has so far been limited by doctors' inability to look inside the body and measure the health of each organ.
"Our research has investigated the use of 'deep learning', a technique where computer systems can learn how to understand and analyze images.”Although for this study only a small sample of patients was used, our research suggests that the computer has learnt to recognize the complex imaging appearances of diseases, something that requires extensive training for human experts," Dr Oakden-Rayner says. While the researchers could not identify exactly what the computer system was seeing in the images to make its predictions, the most confident predictions were made for patients with severe chronic diseases such as emphysema and congestive heart failure.
"Instead of focusing on diagnosing diseases, the automated systems can predict medical outcomes in a way that doctors are not trained to do, by incorporating large volumes of data and detecting subtle patterns," Dr Oakden-Rayner says. "Our research opens new avenues for the application of artificial intelligence technology in medical image analysis, and could offer new hope for the early detection of serious illness, requiring specific medical interventions."
The researchers hope to apply the same techniques to predict other important medical conditions, such as the onset of heart attacks. Prajwal G,VIII Sem B’ Sec
AMAZON PATENTING WILD DRONE TECHNOLOGIES
In its quest to streamline consumption, Amazon has wholeheartedly embraced the promise of drones.
Earlier this month, a fully autonomous Amazon drone delivered its first package in the United Kingdom — an Amazon Fire TV and a bag of popcorn— in just 13 minutes. The company says it hopes to expand the program in coming months, allowing select customers to have their packages brought to them via drone, weather permitting of course.
Any such implementation in the U.S. will have to wait a little longer, as current FAA regulations do not permit drones to be flown out of a pilot’s line of sight. Amazon seems to anticipate that those rules will soon change, however, and has filed a bevy of patents over the past couple of years aimed at upgrading their drone technology to make it fast, safe and efficient.
These patents may never see the light of day, of course, as it’s common for corporations to snap up the rights to forward-looking technologies before they come to fruition. Nevertheless, if you want an idea of what the future of delivery could look like, Amazon’s presence at the patent office is a pretty good place to start. Pooja J Shetty, VIII Sem B’ Sec
GO, GO ALPHAGO In March, AlphaGo, a program from Google’s AI research company, Deep Mind, defeated 18-time world champion Go player Lee Sedol, 4-1, in a historic showdown in South Korea.
Go is an ancient Chinese board game that’s elegantly simple, yet wickedly difficult to master because of the near-infinite number of legal moves on the board’s 19-by-19 grid. AI researchers have pushed for years to build an algorithm that could handle this complexity and topple human Go champions.
The ancient Chinese board game Go has a near-infinite number of legal moves, making it incredibly complex.
AlphaGo pairs a traditional Monte Carlo tree search (identifying an optimal move by playing the remainder of the game over and over in its “imagination”) with two kinds of artificial neural networks: one that predicts the next move and another that evaluates the winner of each board position.
Before playing a human, AlphaGo used its neural networks to analyze 30 million moves made by human experts, and then discovered new strategies by playing itself thousands of times.
During the showdown with Sedol, AlphaGo made a move a professional player would never make. Move 37 was so unorthodox, Sedol left the room to regain his composure. Was it a lucky mistake? Or had AlphaGo advanced beyond human understanding of the game? Sai Nagendra Y A, VIII Sem, C’ Sem
SUPERCOMPUTER SIMULATES ASTEROID
IMPACTS
If, or perhaps when, an asteroid strikes the Earth, it will likely end up in Davy Jones’ locker.
Our planet’s surface is 70 percent water by area, and an aquatic impact would create a sizable tidal wave that could do some serious damage if it hits a populated area. But apocalyptic visions of the devastation resulting from an asteroid strike may be slightly overblown, say scientists at
the Los Alamos National Laboratory.
The team used a supercomputer-assisted model to simulate the outcomes of various types of impacts, creating a series of visualizations depicting the aftermath. Along with the size of the rock and angle of impact, the biggest factor in determining the potential for destruction is whether the asteroid breaks up before hitting the surface, or what’s called an “airburst.” Breaking up before smacking Earth would spread the asteroid’s impact across a wider area, reducing the size of the splashdown and the waves that it would generate. Even if an intact asteroid does hit the surface, the waves it creates will spread outward in an ever-widening circle, like massive versions of the rings formed by dropping a pebble into a pond. While they could still be dangerous, these circular disturbances wouldn’t be as powerful as the line waves created by earthquakes and underwater landslides.
The researchers say they would probably only be as strong as the waves generated by tropical storms. If an asteroid hit within 10 or so miles of a populated area, though, that’s a different story. The waves may dissipate quickly, but they would still be large enough to wreak some Hollywood-size havoc.
The more salient danger from an asteroid hitting the ocean would probably be the massive plume of water shooting into the air, the researchers say. Depending on the rock’s size, as much as 250 megatons of water could be forced into the atmosphere. Some would fall back quickly, but enough would be vaporized that clouds of water would hang around in the stratosphere for months or even years.
Water vapor traps heat on Earth, making it a powerful greenhouse gas. Instead of city-leveling tsunamis, our biggest worry from an asteroid impact might be getting cooked. Prajwal P sanu, VIII Sem B’ Sec
PUBLICATION DETAILS
SN Title of the paper Publication Year of
Publication Authors Name
1 "Addressing the challenges of Visually
Impaired using IoT" IJRITCC Jan - 2017
Vanishree M L, Susmitha
S, Roopa B K,
2 "A Secure Framework for Preserving the
Data Privacy in Social Networks" IJCRCST Jan - 2017 Prathima G,
3 “Smart air conditioning system for
intelligent transportation”
National
conference 2017
Niveditha, Shruthi.P,
Kendagannaswamy
4 “Wireless Charging Techniques – A
Survey” IJRASET Mar - 2017
Sameena H S, Dileep
Kumar K S
5 “The Critical Combined Role of Big Data
Analytics in Health Care“ IJISE 2017
C S Sindhu, Nagarathna
P Hegde
6
“A Prototype for Intrusion Detection in
Wireless Sensor Networks Using Data
Mining Methods”
IJRITCC May - 2017 Asha R N,
Dr.Venkatesan S
7
“Integration of HBASE with HDFS for
optimizing the storage and processing
efficiency of encrypted patients health
records”
IRJET Apr - 2017 Dr. Kavitha C, Neetha
Das, Dr. Kavitha K S
8 “Survey on Security of Data Aggregation
in Wireless Sensor Network” ICASE Jan - 2017
Jyothi .R, Nagaraj G
Cholli,
9 “Smart agriculture: A bliss to Farmers” IJESRT Apr - 2017 Snigdha Sen, Madhu B
10
“Measurability, Adaptability and
Efficiency in Data Center Network using
Space Shuffling”
IJIRCCE July - 2017 Vanishree M L
11 “Access Policy in Cloud based on
Compound Attributes of System Users” IJSDR July - 2017 Aruna N S, Anu C S
12
“Implementation of Data Mining Cloud
Framework Algorithm for Creating and
managing workflows”
IJRSR June 2017 Divya C, Satish Kumar T,
Krishna Prasad R
13 “Detection and Filter of False Data using
RC6 Encryption Mechanism”, IJIRSET July - 2017 Aruna N S, Anu C S
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.
PhD Applicants from the Dept – 16-17
SN Name of
the Faculty
Field Guide
1 Prathima
G Data Analytics
Dr.Sandeep Varma N,
BMSCE
2 Asha R N Wireless sensor
N/W through Data Mining
Dr Venkatesan
S, DSCE
3 Shruthi P Cloud
Computing
Dr Nagaraj G Cholli,
RVCE
4 Kiran
Kumar Big Data Analystic
Dr.Kavitha K S,GAT
Placements Statistics
Department Co- curricular activities
SN Name of the Event Organized Date and month No of
Participants
1 Genesys 21st& 22
nd Feb 2017 800
2 A Course on Virtualisation using vSphere
6.2 16
th Jan 2017 – 19
th Jan 2017 40
3 Visit to ISRO Satellite Centre 18th April 2017 150
4 FDP on ARM Procerror and KEIL 4th& 5
th Jan 2017 55
5 Workshop on Machine Learning and Python
programming 14
th Feb 2017 – 16
th Feb 2017 14
6 A Talk on Building effective profile 31stMarch 2017 70
7 Workshop on UML Modeling and Design
Patterns 13
th - 15
th may 2017 55
PSO 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.
Volcanic Lakes May Hold Trove of Lithium for Batteries Researchers have found a new method for finding lithium, used in the lithium-ion batteries that power modern electronics, in super volcanic lake deposits. While most of the lithium used to make batteries comes from Australia and Chile, but scientists say there are large deposits in sources right here in America: super volcanoes. In a recently published study, scientists detail a new method for locating lithium in super volcanic lake deposits. The findings represent an important step toward diversifying the supply of this valuable silvery-white metal, since lithium is an energy-critical strategic resource, says study coauthor Gail Mahood, a professor of geological sciences at Stanford University’s School of Earth, Energy & Environmental Sciences. “You can teach a student a lesson for a day; but if you can teach him to learn by creating curiosity, he will continue the learning process as long as he lives.” Clay P. Bedford
Student’s achievements Name Event Date Name Event Date
Narayan Deogam
GAT CUP 2017 15th to
19th May 2017
AshikGG Christ University Volley Ball
State Level
1st and 2nd March 2017 Anirudh Akarsh
Rahul CS Narayan Deogam
Cricket 27th Feb 2017
AdithyaDharamarajan A
Anirudh
Sahithya KS
VTU Bangalore Zone Basketball
24th to 25th April
2017
Rahul CS
Chandirka S AdithyaDharamaraj
an A
Siri Yadav S Narayan Deogam
DS Spoorthy Anirudh
Akarsh Inter Zone VTU Hand Ball 18,20th & 21 April
2017 Rahul CS
Venu Gopal HM VTU Bangalore Zone
Kabaddi 12th & 13 Apr 2017
AdithyaDharamarajan A
Madhu BR VTUInterZone Kho-Kho
Women
11th & 12th April
2017 Narayan Deogam
Christ College Cricket
21th Feb 2017 VenuGopal VTU Bangalore South Zone
Kho-Kho Men
6th & 7th April 2017
Anirudh
Madhu BR Rahul CS
Sahithya KS VTU Cross Country 2017 4th & 5th April 2017
AdithyaDharamarajan A
Narayan Deogam
VTU Bangalore South Zone Cricket
31st March 2017
Akanksha National Level Table Tennis Tournament
20th Feb 2017
Anirudh SahanaYoganand
VTU Inter University South
Zone Tournament
18th to 20th Feb 2017
Rahul CS Shwetha KJ
Christ College Cricket
16th Feb 2017
AdithyaDharamarajan A
Narayan Deogam
Madhu BR VTU Bangalore Zone
Volley Ball 30th &
31st March 2017
Anirudh
Sanjana R VTU Bangalore Zone
Volley Ball Rahul CS
Akarsh
VTU Hand Ball 25th & 31
March 2017
AdithyaDharamarajan A
Sahithya KS SahanaYoganand VTU Football 16th Feb 2017
Nischitha K Shwetha KJ VTU Football
Siri Yadav S Akarsh P M 20.4.17 to
24.4.17 Throwball
AshikGG VTU Bangalore South
Zone HandBall
27 & 28th March 2017
Sahithya K S 3.2.17 to 10.2.17 Olympic
Narayan Deogam VTU Bangalore South Zone Cricket
27th March 2017
Sangeetha S D Throwball (W) JIT
Anirudh Ashik G G Throwball (M) BNMIT
Editorial board: Roopa B K Associate Professor Sushmitha S Assistant Professor Nithin V Gopal Student Nithin S. Bangera Student
“Genesys 2017”on 21thand 22nd
Feb2017.
“ARM7 and KEIL IDE” on 4th and 5th
Jan 2017 ISRO VISIT
Virtualization using vSphere 6.0 Workshop on Machine Learning A Talk on “Building Effective Profile”
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.
M3: Instill professional ethics and social values amongst students with concern for environment.