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The ECE faculty and student's efforts, achievements were captured in a single entity with the help of ECE MAGZINE "MAGNITUDE". The ECE magazine was launched in the valedictory ceremony. Everyone appreciated the magazine team of ECE for their sincere efforts which resulted a huge success. The ECE VALEDICTORY ended with the beautiful memories of our seniors.
PAGE 1
It was around 10 am when the juniors were running errands give finishing
touch for the BON VOYAGE, handsome boys and beautiful girls were
engaged in taking selfies, anchors were busy practicing their dialogues. As an
epitome of “A stitch in time saves nine” Abhijit sir was busy reading a
research article, Chandu sir was keenly observing everything with his mind
wandering for poetic words, Sharma sir and Vijay Bhaskar sir curiously
waiting for the event to start. No sooner did Puli Kishore sir and Kiran
Kumar sir enter, Manjunadh and Sri Vidya started to describe the journey
with wonderful songs.
with their Pictionary Dumb-sharats. They managed to get faculties
participated for the event. Both faculty and seniors equally showcased their
pictorial skills by representing songs pictorially. As we can’t make sound
with a single hand unless for a snap, spectators also actively encouraged the
participants. The event ended up with a beautiful song by Abhijit sir.
Everyone has lots to say but don’t know when and where to say. As an
opportunity to those, Confession envelopes were delivered throughout the
event. In the meantime when the next event was getting ready, a seniors
outlook was taken where seniors shared their joyful experiences in the trip
they had recently. Nostalgically, many wished to go back to the first year of
B.Tech life. Moving on, Raviteja and Spoorthi collected some of the exotic
childhood pictures of seniors of which seniors guessed exactly. The seniors
were crazy enough to predict even from the cropped part of a face!! After
having a sumptuous feast, the journey resumed with an event where a pair
must enact a scene played to them. Wow, they proved themselves to be true
replicates of the actors. Biasing the stout ones, Latha and Madhavi conducted
a balloon bursting event where the former to blast a balloon was declared as a
winner. Lokesh and team came up with a skit which revised all the four years
of B.Tech life at NIT Andhra Pradesh. Seniors were astonished to know that
Bhaskar Anand sir, Surya Prakash sir spent their valuable time to share some
words from the bottom of their hearts for the 1st batch of NIT AP. Yogi and
team rocked the stage by singing a band of English songs. Initiated by
Gopinadh and Satish organized a special event where two T-shirts with
seniors and juniors signatures were declared for auctions where after a
competitive bidding Rahul from senior and Pavan from junior succeeded in
buying the shirts. Lastly, a musical chair game was conducted for senior
girls, where rather than walking they started dancing for the energetic songs
being played. As a souvenir for seniors, juniors presented gifts individually.
Meanwhile, Chandu sir was busy penning down his words about the farewell.
Seniors expressed their gratitude, views, experiences and sweet memories.
Some of the confessions addressed to the juniors were read aloud by
Srilekha. As a symbolism of seniors life to cherish with sweetness, there was
a cake cutting event for seniors followed by two beautiful songs dedicated by
Sharma sir for seniors. As the ice melts down with temperature, likewise
tears rolled down with emotion in seniors. Everyone wished that the time
machine in Endgame may come true. Bidding farewell is the toughest part
where the bonds get miles apart. Nevertheless, no matter how far the seniors
are they are always close to the heart of the juniors.
Furthermore, Himasri mesmerized
everyone with her melodious voice. Two
ever smiling Deepika and Dhanalakshmi,
gave a lovely dance performance. The real
fun comes when the sailor sails the ship, so
to entertain the sailors i.e. the seniors, two
Lilliput of ECE, Jyoti and Sindhu came up
This event was conducted for the 2nd year, ECE on 5th April. It was organized by the team “Thunderstorms”, headed by
Kartheek. It is a six round event. In the first round, one had to find their mates to divided everyone into six teams, each
containing 6 members. In the second round, Pictionary was conducted. In the third round, a song was played for each
team, which was discontinued sometimes and the participants had to continue the lyrics then. In the 4th round, one
member from the team blew a balloon and the others blasted them using their head. In the 5th round, quiz on IPL was
conducted. In the final round, each team presents an IPL post-match ceremony, each taking roles as Captain of the team,
Man of the match. This event is completely a fun based game, which was planned for a good interaction with fellow
mates. Everyone enjoyed well, playing this game.
Frisk - Revanth, II year
Bon Voyage - Yeshwanth Balaji, III year
NIT ANDHRA PRADESH VOLUME 1 ISSUE 3
THE ECE HERALD The Official ECE Newsletter
Valedictory Ceremony - Sai Sri Vidya, III Year
The ECE students journey started with ECE ASSOCIATION inauguration,
which is an open door for the exposure of many technical and non-technical
events. They had a splendid knowledgeable journey through out the year. It was
very soon that the time for a closing ceremony "ECE VALEDICTORY" has
come. In the valedictory, faculty delivered guidelines through their speech for
the seniors. The secretaries right from the first year to the third year of ECE
ASSOCIATION had given a talk based on their experiences that were
associated with all the students and faculty. The certificates were disturbed to
all the winners, organizers and the participants of all technical events of ECE.
The hard work behind the screen couldn't be exposed until it was showcased.
- Anurag, II year
Department of ECE is not only spreading its wings in academics but also in all
sort of extra-curricular activities, especially in sports. This year we have topped
the list by securing first place in various sports events and also by winning the
overall championship among all the departments. The following are the events
in which we came out in flying colors capturing the first position.
Cricket(M): Leninroy Yaemineni(c), Manoj Kumar Reddy T,G Ajay Kumar, Y Vishnu Vardhan Reddy, Ramesh Vishonoi, A Tarun Sri Teja, Jehova Honey, V Swastik, Sachin Meena, Susheel Kumar,V Raj Kumar, Y Teja Reddy, G Sai Teja, RVS Nivas Kumar, Ch Koteshwar Rao, S Kartheek. Kho-kho(w): T.Sravani, M Annapurna ,S Srivani, S Vujwala, A Yamuna, J Dhanalaxmi, C Vasanthi. Kabaddi(m): V Swastik(c), Lokesh Kumar V, Manoj Kumar Reddy T, Rahul A,V Satish, Avinash H, D Yogeshwar Naik, V Raj Kumar, M Suman, S Kartheek, T Sai Anurag, C Prudhvi Raj. Kabaddi(w): T Sravani, P Mounika, M Annapurna, P Pushyami, V Swathi, S Vujwala, G Jyothi, M Sanjoosha. Throw ball(W): M Annapurna, M Supriya, Jyosna, Sravanthi, G Jyothi, P Pushyami, A Yamuna, C Vasanthi, J Pavanija. Volleyball(M): V Raj Kumar(c), M Suman, M Bhagawan Naik, Bilhan, Mahesh, Ch Koteshwar Rao, V Swastik, V Satish, S Siva Gopinadh, V Rahul, V Venkatesh, K Jithendreshwara Rao. Badminton Singles(w): Jyothi. Badminton Doubles(w): Pushyami-Ujwala. Tennicoit(W): Ujwala, Jyothi.
Overall Championship !!!
MAGNITUDE team
In Athletics, V Raj Kumar of second
year ECE has bagged prizes for ECE
in several events. Javelin throw-
Winner, Short put-Winner, 100m-
Runner, 200m-Runner, Discus
throw-Runner
Not only students of ECE but also faculty are very active in participating in
sports. Dr. Chandu D S and Mr. Vijay Bhaskar are part of winning team of
faculty cricket game and Mr. Vijay Bhaskar had participated in badminton and
came out as winner in the event. In this manner, the dept. of ECE is spreading
its charm in various sports events.
Issue date: 6th May
- Karishma Panda, II year
Once a Great Physicist Stephen Hawking had
said-“The development of full artificial
intelligence could spell the end of the human
race. Once humans developed artificial
intelligence, it will take off on its own and
redesign itself at an ever-increasing rate.
Humans who are limited by slow biological
evolution, wouldn’t be able to compete and
would be superseded.” What he meant was that
it could possess a potential danger to the human
race and environment if it progress unabated.
Humans have developed machine intelligence.
But what if these machines will tend to have
control over the human mind? How can we
ensure they will behave ethically? Moreover
what if they will get into wrong hands and will
be misused to intend harm to humanity? Then it
will be indeed a huge threat to our society.
Peace and security will be big question marks.
Another grave concern is that AI may render
many people unemployed. Our country is
already facing the menace of lack of jobs. So if
machines start invading all fields there will be
hardly any jobs left for the human race.
Autonomously operating cars are already
developed which will render many drivers
jobless. Artificial intelligence has broken into
the healthcare industry by assisting doctors and
the day is not far behind when they may
replace doctors which will be a threat to their
career. Moreover, a recent article claimed that
the day is not far behind when we will be able to
connect our brain to cloud computing. We will
be able to access the world’s knowledge by
simply thinking about a specific topic. It will be
a big feat in the field of science but the peril is
that machines will be able to read our minds. So
it may lead to a breach of privacy if used for
malicious purposes. Again it will put safety and
trust issues in risk. In a few years, we may be
equipped with autonomous weapons that can be
programmed to cause massive destruction. But
in the hands of the wrong person, these weapons
can easily cause mass casualties and the result
will be devastating. Artificial intelligence can
surge rapid progress and can make life easier but
if misused it will be a big threat to society. So
development should be such that it wouldn’t be
pernicious as safety is our primary concern.
TECHATOON
NOTE FROM THE
EDITOR
We are so happy to publish the
third edition of "THE ECE
HERALD". This edition has keen
information about the Artificial
Intelligence and Machine
Learning, two eyes of this hyper-
competitive technical
world. Apart from the main
theme, a complete picture of the
public sector undertakings PSU is
provided. This article really helps
all the third year students down
the line, contains: PSU recruiting
ECE students through Gate,
benefits of PSU jobs, fixed
working hours and perks. Coming
to cultural part, this edition
showcased the memories of the
first ever farewell in the timeline
of NIT AP. We hope this edition
help's you in your career point of
you and remembering the
beautiful memories with our
seniors as well.
PAGE 2
LIMITATIONS OF ARTIFICIAL INTELLIGENCE!
PSU
- Deepthi, IV year
Most of the PSUs recruit through Gate Score.
Candidates are shortlisted based on cut-off marks.
Cut-off marks for shortlisting depends on number of
vacancies and then the process is followed by
Personal Interview. GATE score is valid for three
years. Candidates who have qualifying marks in
GATE, they can apply online on the respective PSU
website. General category student (ECE) should be
under 200 rank . More tighter bound will be less than
100 rank .
PSUs recruiting ECE students through Gate are:
Bharat Electronics Limited (BEL), owned by the
Government of India and is managed by the Ministry
of Defense.
Bharat Sanchar Nigam Limited (BSNL), India’s
largest provider of fixed telephony and broadband
services, the 5th largest mobile telephony provider in
India.
Bharat Heavy Electricals Limited (BHEL), India’s
largest power plant equipment manufacturer and
possesses an outstanding track record.
Bharat Petroleum Corporation Limited (BPCL), a
Government of India controlled Maharatna oil and
gas company.
Oil and Natural Gas Corporation Limited
(ONGC), India’s second largest publicly traded
company and the largest profit making PSU in India.
Bhabha Atomic Research Centre (BARC), a
multi-disciplinary research Centre with extensive
infrastructure for advanced research and development
covering the entire spectrum of nuclear science,
engineering and related areas.
Defense Research and Development Organization
(DRDO), India's largest and most diverse research
organization which is engaged in developing defense
technologies covering various fields, like aeronautics,
armaments, electronics etc.
Indian Space Research Organization (ISRO), the
space agency which develops space technology for
national development and pursuing space science
research and planetary exploration.
National Thermal Power Corporation Ltd
(NTPC), India’s largest power generating company
which is responsible for 25% of the country’s power
generation.
Power Grid Corporation of India Limited
(POWERGRID), an Indian state-owned electric
utilities company under the name POWERTEL.
Hindustan Petroleum Corporation Limited
(HPCL), an Indian state-owned oil and natural gas
company with its headquarters at Mumbai,
Maharashtra.
Neyveli Lignite Corporation India Limited
(NLCIL), a 'Navratna' profit making, Government of
India Enterprise engaged in mining of lignite and
generation of power through lignite based
thermal power plants.
Benefits of PSU Jobs
Fixed working hours : you have to work 9–5 job.
There are no extra timing and shifts.
Government Job Perks: As we all are aware of the
perk & benefits of a government job and its
employees like Pension, Less work pressure,
Reputation in society,
- Inisha
- II year
ECE never backs down in any aspect. The
students of ECE: Sharan, Pranay, Gavaskar,
Rahul, P Manoj Kumar, Praisy, Ramesh,
Shashi Priya, Yamuna, Dhanraj, Srihari,
Sravan, A Ravi Teja, A Sumanth, G Aditya, J
Sindhu Sri, Spandana, B Spoorthi, took the
social responsibility to take part in election
campaigning for the general elections 2019
conducted in Andhra Pradesh state on 11th
April, 2019. They worked for the election
commission of India for webcasting and also
helped in creating awareness for the voting
process. This also added a new experience for
the students and helped them to be a bit closer
to the society.
Election Campaigning - Avinash, III year
Artificial Intelligence
VS Human
Intelligence
Without learning, everything is new; a system that cannot learn is not efficient
because it re-derives each solution and repeatedly makes the same mistakes.
DEFINITION :
Changes in a system that enables it to do the same task or tasks drawn from the
same population more efficiently and more effectively the next time.
NEURAL NETWORKS :
An Artificial Neural Network (ANN) is an information processing paradigm
that is inspired by the way biological nervous systems, such as the brain,
process information. It is composed of a large number of highly interconnected
processing elements (neurons) working in unison to solve specific problems.
ANNs, like people, learn by example.
ADVANTAGES OF NEURAL NETWORKS :
1.Adaptive learning: An ability to learn how to do tasks based on the data given
for training or initial experience.
2.Self-Organization: An ANN can create its own organization or representation
of the information it receives during learning time.
3.Real Time Operation: ANN computations may be carried out in parallel, and
special hardware devices are being designed and manufactured which take
advantage of this capability.
4.Fault Tolerance via Redundant Information Coding: Partial destruction of a
network leads to the corresponding degradation of performance. However,
some network capabilities may be retained even with major network damage.
SIMPLE NEURON MODEL :
FIRING RULES - A firing rule determines how one calculates whether a
neuron should fire for any input pattern. It relates to all the input patterns, not
only the ones on which the node was trained.
A MORE COMPLICATED NEURON - The previous neuron doesn't do
anything that conventional computers don't do already. A more sophisticated
neuron is the McCulloch and Pitts model (MCP). The difference from the
previous model is that the inputs are 'weighted', the effect that each input has at
decision making is dependent on the weight of the particular input. The weight
of an input is a number which when multiplied with the input gives the
weighted input. These weighted inputs are then added together and if they
exceed a pre-set threshold value, the neuron fires. In any other case the neuron
does not fire. In mathematical terms, the neuron fires if and only if;
X1W1 + X2W2 + X3W3 + ... > T
The addition of input weights and of the threshold makes this neuron a very
flexible and powerful one. The MCP neuron has the ability to adapt to a
particular situation by changing it’s weights and/or threshold. Various
algorithms exist that cause the neuron to 'adapt'; the most used ones are the
Delta rule and the back error propagation. The former is used in feed-forward
networks and the latter in feedback networks.
FEED FORWARD NETWORKS- Feed-forward ANNs allow signals to travel
one way only; from input to output. There is no feedback (loops) i.e. the output
of any layer does not affect that same layer. Feed-forward ANNs tend to be
straight forward networks that associate inputs with outputs. They are
extensively used in pattern recognition. This type of organization is also
referred to as bottom-up or top-down.
NETWORK LAYER - The commonest type of artificial neural network
consists of three groups or layers of units namely input nodes, hidden nodes
and output nodes. The activity of the input units represents the raw information
that is fed into the network. The activity of each hidden unit is determined by
the activities of the input units and the weights on the connections between the
input and the hidden units. The behavior of the output units depends on the
activity of the hidden units and the weights between the hidden and output
units. Learning is determination of weights.
Following the way learning is performed, we can distinguish two major
categories of neural networks:
Supervised learning : In this, we train with the data that which is well labeled
that means some data is already tagged with the correct answer. After that, the
machine is provided with a new set of examples(data) so that supervised
learning algorithm analyses the training data(set of training examples) and
produces a correct outcome from labeled data.
1.Unsupervised learning : Unsupervised learning is the training of machine
using information that is neither classified nor labeled and allowing the
algorithm to act on that information without guidance. Here the task of machine
is to group unsorted information according to similarities, patterns and
differences without any prior training of data.
TRANSFER FUNCTION- The behavior of an ANN (Artificial Neural
Network) depends on both the weights and the input-output function (transfer
function) that is specified for the units. This function typically falls into one of
three categories:
1.Linear (or ramp) - the output activity is proportional to the total weighted
output.
2.Threshold - the output is set at one of the two levels, depending on whether
the total input is greater than or less than some threshold value.
3.Sigmoid - the output varies continuously but not linearly as the input
changes. Sigmoid units bear a greater resemblance to real neurons than do
linear or threshold units, but all three must be considered rough
approximations.
TRAINING THE NEURAL NETWORK- To make a neural network that
performs some specific task, we must choose how the units are connected to
one another and we must set the weights on the connections appropriately. The
connections determine whether it is possible for one unit to influence another.
The weights specify the strength of the influence.
THE BACK–PROPAGATION ALGORITHM- In order to train a neural
network to perform some task, we must adjust the weights of each unit in such
a way that the error between the desired output and the actual output is reduced.
This process requires that the neural network compute the error derivative of
the weights (EW). In other words, it must calculate how the error changes as
each weight is increased or decreased slightly. The back propagation algorithm
is the most widely used method for determining the EW.
MACHINE LEARNING
LEARNING IS A HALLMARK OF INTELLIGENCE
- Dhiraj, Lokesh
III year
1.Fixed networks in which the weights
cannot be changed, i.e. dW/dt=0. In such
networks, the weights are fixed a priori
according to the problem to solve.
2.Adaptive networks which are able to
change their weights, i.e. dW/dt ≠ 0.
All learning methods used for adaptive neural
networks can be classified into two major
categories:
In this success story, we are going to share the biography of Elon Musk, the
CEO and CTO of SpaceX, chief product architect of Tesla Motors, chairman
of Solar City, and co-founder of PayPal. Musk is also involved in developing
a high-speed transportation system known as Hyper loop and many other
revolutionary projects that pave a way to an amazing and better future. There
are many key episodes in his early life which led to his overwhelming
success, one such being Musk showing a sizable interest in computing from a
tender age, at the age of 12 he self-learned programming and sold the code for
a video game he had created called Blaster for $500, to a magazine called PC
and office 3. His early days were not always easy going, he made his first
breakthrough by selling his company Zip2 and earning $22 million from this
deal, which he used as capital for a banking website X.com and later by
selling the website he made $165 million. From here there was no looking
back for Musk. His next venture was in Space X followed by Tesla which
earned his phenomenal success and fame. Being the CEO of Tesla he came
up with many revolutionary ideas such as fully electric cars and most radical
one being self-driving cars. This idea was criticized saying that Musk is
promising autonomous vehicles in an almost unethical way. However Musk
didn’t think much of this criticism, his view is “Weak people get
discouraged by criticism. Strong people use it to their advantage. They
take the feedback from others, see if there is any truth to it, make the
improvements in their product if needed and raise their game up a
notch. He says that this is how winning is done!” Recently, in December
2015, Elon Musk has also announced the creation of Open AI, a not-for-profit
artificial intelligence (AI) research company. It aims to develop artificial
general intelligence that is safe and beneficial to humanity. He called AI
more dangerous than nuclear warheads and said there needs to be a regulatory
body overseeing the development of super intelligence. It wants to make AI
available to everyone, and reduce the power from the corporations who own
super-intelligence systems devoted to profits, as well as governments which
may use AI to gain power and even oppress the people. Though he undertook
many projects related to AI Elon Musk he is still a bit skeptical and fearful
about what some may call AI apocalypse may come into reality so he
announced his new venture brain-computer interface company “Neuralink” to
combat the rise of AI. Musk explained that this firm’s goal is to turn cloud-
based AI into an extension of the human brain. The company will aim to
create (and bring to market) a product that can help those with severe brain
injuries. Its product, which will be developed within the next four years will
eventually lead humans to be able to communicate by “consensual telepathy”.
And lastly, he says that during his journey – the most important and valuable
lesson that he has learned and still follows is that….“The most difficult
thing in life will be to come up with the right questions!” As the saying
goes, asking the right questions take as much skill as finding the right
answers and often times posing the right question can be a moment of a great
breakthrough.
Elon Musk - Dhiraj, III year
Amith, II year
PAGE 3
Service
For all those who think that IITs and NITs restrict themselves on education,
here is the big step taken by a team of students and faculty from IIT
Kharagpur for Cyclone victims. This shelter provided great support for the
recent Fani Cyclone victims.
Machine Learning In Genomics - Samradh Sharma, II year
Artificial Intelligence (AI) is everywhere. Possibility is
that you are using it in one way or the other and you don’t
even know about it. One of the popular applications of AI
is Machine Learning (ML), in which computers, software,
and devices perform via cognition (very similar to human
brain). Artificial intelligence is not as dramatic as
Hollywood portrays. In many ways it has already become
very much we are using ; Google Translate, facial
recognition or voice operated devices such as Alexa or
Siri. What does machine learning offer to biological
vision scientists? It was developed as a tool for automated
classification, optimized for accuracy. Machine learning
is used in a broad range of applications from regression in
stock market forecasting to reinforcement learning to play
chess. Physiologists use it to identify stimuli based on
neural activity. To study perception, physiologists
measure neural activity and psychophysicists measure
over responses, like pressing a button. Artificial
intelligence and machine learning in genomics have
become something of buzzwords over the last few years.
A genome is an organism’s complete set of DNA,
including all of its genes. Each genome contains all of the
information needed to build and maintain that organism
and study of genomes is called “GENOMICS”. Machine
learning have made easy the prediction of genome .It
helps in predicting the regions of the genome code for
proteins. Current applications of machine learning in
genomics appear to fall under the following two
categories:
1. Genome sequencing (particularly as it applies to
precision medicine): Researchers are using machine
learning to identify patterns within high volume genetic
data sets. These patterns are then translated to computer
models which may help predict an individual’s
probability of developing certain diseases or help inform
the design of potential therapies.
2. Direct-to-Consumer genomics: This category
encompasses companies who offer genomic sequencing
services to individual consumers. Companies are using
machine learning to achieve greater depth in the
interpretation of genetic information such as how an
individual’s genes may impact their weight.
The main application of machine learning in genomics
are in Genome Sequencing, Gene Editing, Clinical
Workflow and many more . Future Applications of
Machine Learning in Genomics are in
Pharmacogenomics , Newborn Genetic Screening Tools,
Agriculture (to help improve soil quality and crop yield)
and many more . One particular estimate postulates that
by 2025 the predictive genetic testing and consumer
genomics market worth will reach $4.6 billion . Machine
learning in genomics is currently impacting multiple
touch points including how genetic research is
conducted, how clinicians provide patient care and the
accessibility of genomics to individuals interested in
learning more about how their heredity may impact their
health.
V. Keerthi Priya – 1st May
Tarun Adipe – 3rd May
Lokesh Vajja – 7th May
Shivani Varanasi – 10th May
Meher Kumar – 13th May
Sanjoosha Makani – 29th May
Ashish Miyapuram – 30th May
PIC OF MONTH
EDITORS
DESIGNERS
M R L V V BHARATHI
C SAI SRI VIDYA
AVINASH H
K MANOJ
-Jithendra
(III ECE)
UPCOMING EVENTS IN OTHER INSTITUTIONS:
IIT BOMBAY- May 4(9:30 am to 6:00pm) One day workshop on SCILAB
IIT MADRAS- May 4 to 5- Workshop on internet of things (IOT)
-May 13(9 am to 5 pm)- Kaizen robotics program
IIT DELHI -May 30 (9 am to 6 pm)- Case Study Competition
NIT ROURKELA- May 20- Pre-conference Workshop on DSPACE
Sending you smiles for every moment of your special day. Have a wonderful time and a very HAPPY BIRTHDAY!!
A belt of cyclone shelter homes built by students and faculty of IIT Kharagpur for cyclone victims
PAGE 4