BHILAI INSTITUTE OF TECHNOLOGY, DURG DEPARTMENT OF COMPUTER SCIENCE AND

ENGINEERING

CHIEF PATRON

Shri I.P. Mishra

PATRON

Dr. Arun Arora

ADVISOR

Dr. Mrs. M.V. Padmavati

MANAGING EDITORS

Mr. Ramesh Kumar

Mr. Sudip Bhattacharya

STUDENT EDITORS

Shruti Gupta

Aakansha Arora

Suyash Ganveer

Yash Pamnani

**For contributing matter to

this newsletter, mail your

articles / submissions to

snapshotcse@gmail.com or

contact / WhatsApp the

student editors on

+91-9893550287.

You can help in making this

newsletter even better.!!!

In this issue Editorial P.1

The cost of FOMO P.2

Cyborgs already exist! P.2

Digital Transformation P.3

Smart India Hackathon 2019 P.3

Some useful applications! P.4

How does Google Translate work? P.4

Dear Readers, With the end of another wonderful year filled with sweet memories and beginning of a joyful new year, the Snapshots Editorial team wishes you a very warm and happy New Year! May the year 2019 bring all the good things you wished for in your lives and make this year even more successful than the previous one.

The Department congratulates Mr. Pawan Patnaik for completing his Ph.D on the topic "The Design of Efficient Algorithms for Syntactic Pattern Generation and Matching" under the guidance of Dr. (Mrs.) M.V. Padmavati. We wish him lots of success in his future endeavors.

Now, with the beginning of a brand new semester it’s also time for the upcoming events. It is a time to ponder upon the lessons we learnt through the year, and the happiness we spread around. When you are travelling on the road to success, it is important to look ahead and reach the destination. Let our excellence pave the way to our success!

VISION OF THE DEPARTMENT

To provide cutting edge learning environment and nurture talent to produce world-class

computer professionals with ethical values who could excel in industry and research.

MISSION OF THE DEPARTMENT

Promote peace, prosperity and growth in society by producing competent computer

professionals with strong ethics, entrepreneurial, continuous learning and research skills

through quality teaching-learning processes rendered by experienced faculty and ever up-

gradable infrastructure.

M1. Promote peace, prosperity and growth in society by producing competent computer professionals with strong ethics, leadership qualities and entrepreneurial skills. M2. Inculcate professional behavior, research of international quality and continuous learning skills in students through quality teaching-learning process. M3. Support the professional development of all faculty members in the areas of teaching and research. M4. Infra structure up gradation in sync with emerging technologies.

NEWSLETTER

ISSUE

13

JANUARY

2019

News in Brief & Achievements.

The annual conference, BITCON (I3C 2019) is being organized on March 1st, 2019, by the Dept. of Computer Science & Engineering.

Ojas 2k19 is going to be held on 27th and 28th of February 2019. Prof. Pawan Kumar Patnaik, faculty of CSE Department, visited and delivered a

technical talk at the Silesian University, Opava, Czech Republic, under the Erasmus + Exchange program.

Congratulations to the students from the 2015-2019 batch, who secured placements in the following companies:

Rishabh Agrawal – Analytics Quotient Ashish Ekka – Analytics Quotient Somesh Kumar Singh – SAP SwarilSinghal – SAP Sampatti Dinesh Metkar – SAP Abhishek Bhowmick – BYJU’S Reshu Pandey – BYJU’S

How does Google Translate work?

Google Translate, the goto application or website

interface for anyone who wants a quick translation

on any of the major languages,was conceived in 2

stages.

The first stage introduced us to the Google

Translate with statistical machine translationon

April 28, 2006. It used a 3-way approach for

translating phrases from one language to other.

The source language was first reduced or

converted to English language and then the

corresponding English translation was converted

to the destination language. The linguistic data for

translation was collected by Google from the

United Nations and European Parliament

transcripts.

Though, this version became a point of

widespread ridicule due to its inaccurate and

weird translation as the grammar understanding of

the system was moot at that point. This model

implemented translation in most of the time by

word-basis, phrase-basis and syntax-basis. The

translation became more and more accurate over

the years, with development in algorithms over

the grammar, but the basic 3-way model remained

intact which helped to cover widespread

translations, but resulted in faultier translations

and corpus creation being costly.

This model was adopted till November 15, 2016.

This model was adopted by Google till

November 15, 2016.

On November 15, 2016 Google took a

revolutionary step. It scrapped the previous

„guess‟-algorithm based translation system with

the neural machine translation engine – Google

Neural Machine Translation (GNMT). With the

speedier development in the area of artificial

intelligence, machine learning and deep learning,

Google Translate‟s new model uses the concept of

neural networks and Deep Learning techniques

for the efficient translation, describing it as the

engine which translates, quoting Google, “whole

sentences at a time, rather than just piece by piece.

It uses this broader context to help it figure out the

most relevant translation, which it then rearranges

and adjusts to be more like a human speaking with

proper grammar”. Google Translate first used

Recurrent Neural Networks (RNN), with the

bidirectional encoder fed in to second RNN called

a decoder, but are now moving subtly towards

Convolutional Neural Networks (CNN), which is

good for long continuous sequences, known to use

attention-based approaches. This model is able to

directly translate from one language to another

without using translations in intermediate

languages.

Google Translate has become one of the most

important technologies being used right now, with

it allowing users to translate via photos and

cameras (via Google Lens), voice translation with

speech recognition on the go, and even

recognizing handwriting, which is indeed a

marvel (though some pathetic handwritings, even

On November 15, 2016 Google took a

revolutionary step. It scrapped the previous

„guess‟-algorithm based translation system with

the neural machine translation engine – Google

Neural Machine Translation (GNMT). With the

speedier development in the area of artificial

intelligence, machine learning and deep learning,

Google Translate‟s new model uses the concept of

neural networks and Deep Learning techniques for

the efficient translation, describing it as the engine

which translates, quoting Google, “whole

sentences at a time, rather than just piece by piece.

It uses this broader context to help it figure out the

most relevant translation, which it then rearranges

and adjusts to be more like a human speaking with

proper grammar”. Google Translate first used

Recurrent Neural Networks (RNN), with the

bidirectional encoder fed in to second RNN called

a decoder, but are now moving subtly towards

Convolutional Neural Networks (CNN), which is

good for long continuous sequences, known to use

attention-based approaches. This model is able to

directly translate from one language to another

without using translations in intermediate

languages.

Google Translate has become one of the most

important technologies being used right now, with

it allowing users to translate via photos and

cameras (via Google Lens), voice translation with

speech recognition on the go, and even

recognizing handwriting, which is indeed a marvel

(though some pathetic handwritings, even Google

can‟t detect), in currently 103 languages. So,

basically, hail Google! Arigato. Au revoir!

Some useful applications!

Pranjalya Tiwari 4th Sem ‘A’

Programming

Hub

Provides very easy ways to learn to code like an expert. It’s easy, fast and fun.

Enki

It helps you level up your programming skills with a 5 minute daily workout.

Skillshare Online

Classes

Bite-sized lessons help you learn at your own pace, on your own schedule.

Coursera

Learn courses anywhere from a variety of subjects and get specialized certificates after success of course.

Duolingo

A fun free language learning platform.

The Cost of FOMO – Fear of missing out

The fear of missing out has become insidious in our

community. Attached to this fear of missing out on

something better is always very mind hindering.

People get these high on life fake personas on

websites like Facebook, Twitter, and Instagram due

to this we often feel low about ourselves as we try to

compare our lives to theirs. I refer to this as "fake"

because people only present the best side of their

lives. No, one is posting about their miseries, and

why would they? Most people don't like seeing

content which is depressive & negative.

So, surely its fake most of the time made up, and it‟s

heavily curated that what we post on social media.

People go through this hassle just for some attention

(likes & comments) in the virtual world.

Nowadays, teens and millennials text while driving,

because they think the significance of a social

connection is more important than their lives (and

others too). They frequently check their Instagram

and Facebook feed even if they are on a date with

somebody because something entertaining just might

be happening - and they don't want to miss out on it.

We are now so connected with one another

through these social networks - that we have

programmed our minds in such a way that we

resist being alone anymore. Some teens believe

they need to be available to their friends every

moment of the day because you don't know when

some might get dumped or into a dispute with

their parents. So, who will be there to comfort

them? They think their peers need instant

gratification and relief. Nobody can wait anymore

- not because they can't; just because they don't

need to. After all, if you could eat ice cream all

day, every day without getting fat or sick, why

wouldn‟t you? That‟s how many of us presently

consuming social media – utilizing it as much as

we can.

Due to such a mentality, we rarely get any chance

to experience the real essence of life.

The Science behind FOMO

FOMO is the anxiety caused by the fear of

missing out on social affairs or a positive

experience. This feeling emanates from social

anxiety and an urge to stay connected to what

others do.

Competitiveness & Social networking is other

factors due to which you feel the fear of missing

out. As you scroll down through your Instagram

or Facebook and witness others achievements,

there are high chances that you end up feeling

sad. In this modern world, a new datum has been

set by us to judge our success based on the likes

and comments we get on our social media profile.

Tips to Get Over FOMO

1. ADMIT THE PROBLEM

Let‟s get real and accept the root of the problem

that is you cannot be everywhere at every time

and wouldn‟t always be enjoying every moment

of your life. And that is OK; you don't have to.

Acknowledging & accepting that you have

anxiety and trying to sort it out is the key to

mindfulness. In this way, you're admitting the

insecurity, and with that realization, you can face

your problem very effectively.

2. TURN OFF YOUR NOTIFICATIONS

For God, sakes turn off the notifications in your

smartphones or switch off your phone. Let's start

a morning without getting our eyes to Instagram.

It will be not practical to get rid of our social

media accounts immediately, but the least we can

do is to limit ourselves from using the way we are

now using it.

3. LEARN TO SAY NO

Even though you might have fear of missing out

at that moment, know that you don't always have

to say yes to everything. We suggest you spend

your time & money very carefully, invest those

resources on things you care and passionate about

not just because of FOMO and you delve into

something about which you feel regret later.

Don't do the things which you think are wasteful

and unproductive.

Yash Pamnani 4th Sem ‘B’

Cyborgs already exist!

Cyborg is a portmanteau of the words „cyber‟ and

„organism‟, which first appeared in science fiction

novels of the 1960s. The term later became

synonymous with robots in films and television.

Until a few years ago, cyborg was a relatively far-

fetched fancy word, which did not have a real-world

counterpart. However, in recent times, things have

changed. Cyborgs are now real. You might think you

haven‟t seen one, but you have. It‟s you.

How? You are the organism part of the equation.

And the cyber part is your smartphone. It‟s not

breaking the news that our generation spends more

time looking at screens than any other before us. We

have inserted screens everywhere, from billboards to

timepieces. But what makes us cyborgs is that our

phones are now an extension of us and a very

intelligent one at that. How far is the nearest ATM?

Ask your phone. When is the next supermoon? Ask

your phone. What does a portmanteau mean? Ask

your phone.

Our dependence on our phones has hit a point where

we are in a symbiotic relationship with them.

We provide them with electrical power and they

give us data and information. Symbiosis, by

definition, is meant to benefit both of the parties

involved, maintaining the flow of necessities in a

balanced fashion. Our current approach to this

relationship, however, is leaning more towards a

parasitic relationship than a symbiotic one.

Not only are smartphones getting electric juice

with our help, but they are also demanding more

time and energy from our end. Mobile

applications are designed to keep us engaged;

that's how it has been, virtually from the

beginning.

But is artificial blue-light really worth sacrificing

sleep? Is quantified validation, in forms of „likes‟

and „upvotes‟, really worth our time? Should a

mere supplement get more than what it gives us?

Is this the kind of cyborgs we want to be? We

need to decide before it‟s too late before a helpful

companion becomes a venomous parasite.

Siddharth Meshram 4th Sem ‘B’

Digital Transformation

Let‟s start differently. Let‟s first discuss what

digital transformation doesn‟t mean. We initially

break this down to focus on what “digital” actually

means here.

Digital here doesn‟t refer to any of the likes,

retweets, comments on various social media

outlets, any addition of e-commerce stores, or any

creation of websites and all. It doesn‟t even

necessarily mean the use of digital technology.So,

what does digital mean here, in this context?

Digital means the “pace of transformation” that is

happening in today‟s world driven by the fast

implementation of technology.

So, what about the organizations that are not

entirely compatible with new tech? It puts them

under immense pressure, often leading them to

dead ends. And as it usually happens, while some

find a way to be compatible with it, cope with it,

some just don‟t see the signs.

And while the existing organizations find it hard to

cope up with the advancements in technology, the

way in which customers now interact is also

rapidly changing. Now, this is, if not forcing, but

compelling the companies to change their system

of operations, so as to keep up with both the

demands.

Well, what about organizations? What types of

organizations are we talking about here?

We are looking at two types of organizations here:

The organizations that just go digital: All these

organizations are doing currently, is simply

digitizing their services, and calling it a

transformation. This is eventually leading them

into a land of irrelevance.

Digital innovators: They are actually working

hard to achieve comprehensive solutions so as to

cope with this ever-increasing pace of change, as is

the right way.

Now, what exactly does “Digital Transformation”

mean?

All the organizations need, is a strategy, an

organized way to find the answer to this growing

demand. As we know that innovation is the right

tool for this task, the companies must be focused

on providing their teams with suitable resources so

that they can fearlessly brainstorm, innovate. This

is the right leadership that is going to create the

high-performing innovative organizations which

are, by principle, delivered by marketers and

technologists.

Samarth Soni 6th Sem ‘A’

KNOW YOUR

FACULTY

Prof. Pawan

Kumar Patnaik Associate Professor

Qualification: Ph.D., M.Tech, MCA

Zodiac Sign: Virgo

Favourite Book: Theoretical Computer Science, Compiler Design & Algorithms

Favourite Dish: Aloo fry

Favourite Movie: Kabhi Kabhi

Favourite Actor: Amitabh Bacchan

Message for the

Students:

“Be happy always, and be sincere

towards life. Study well and work

hard. We are always there,

whenever you need us.

Best wishes!”

Smart India Hackathon

2019

Smart India Hackathon

2019 is a nationwide

initiative to provide

students a platform to

solve some of pressing

problems we face in our

daily lives, and thus

inculcate a culture of

product innovation and

a mindset of problem

solving.

The last edition of the

hackathon saw over 5

million+ students from

various engineering

colleges compete for

the top prize at 35+

locations.

In SIH 2019, the

students would also

have the opportunity to

work on challenges

faced within the private

sector organizations and

create world class

solutions for some of

the top companies in

the world, thus helping

the Private sector hire

the best minds from

across the nation.

The first two editions

SIH2017 and SIH2018

proved to be extremely

successful in promoting

innovation, out-of-the-

box thinking in young

minds, especially

engineering students

from across India.