CONTENTS

CONTENTs

About the Department

Vision , Mission,PEOs,POs and PSOs

Technology Catchment Area

ECE Events

Students Achievements

Placement Corner

Faculty Achievements

Test Your Aptitude

Editorial Board

Inspirational Quotes

ABOUT THE DEPARTMENT

The Department of Electronics and Communication

Engineering is established in the year 1998. In 2011

, the department started Post Graduate program,

M.E. degree in Communication and Networking.

The Department has 22 highly qualified and well

experienced faculty members. It is well equipped

with fully air conditioned laboratories in the areas

of Microprocessors and Microcontrollers, VLSI,

Digital Signal/Image Processing, Microwave and

Optical Communication to cater the present academ

ic and industry requirements. The Department is

recognized as Research Center by Anna University,

Chennai. The Department is conducting various

workshops and seminars to update students and

faculty members with the knowledge of emerging

fields towards industrial applications.

VISION AND MISSION

“To make the Department of Electronics

and Communication Engineering of this

Institution the unique of its kind in the

field of Research and Development

activities in this part of world”.

VISION

“To impart highly innovative and technical

knowledge in the field of Electronics and

Communication Engineering to the urban

and unreachable rural student folks through

Total Quality Education”.

MISSION

PEO1:To establish a strong foundation in

Electronics and Communication Engineering

necessary to formulate, model, analyze and

solve real time problems.

PEO2. To inculcate professional skills and life

skills for placement or to pursue higher

studies in the relevant fields.

PEO3. To promote research and development

activities and solve industrial problems with

creative ideas.

PROGRAM EDUCATIONAL

OBJECTIVES

PEOs

Pos & PSOs

PO/

PSO

Statement Learning Level

PO 1 Engineering knowledge: Apply the knowledge of mathematics, science, engineering f

undamentals and an engineering specialization for the solution of complex engineering

problems.

K3

APPLY

PO 2 Problem analysis: Identify, formulate, research literature and analyze complex engine

ering problems reaching substantiated conclusions using first principles of mathematics

, natural sciences and engineering sciences.

K4

ANALYZE

PO 3 Design/development of solutions: Design solutions for complex engineering problem

s and design system components or processes that meet the specified needs with appro

priate consideration for public health and safety, and cultural, societal, and environmen

tal considerations.

K5

EVALUATE

PO 4 Conduct investigations of complex problems: Use research-based knowledge and res

earch methods including design of experiments, analysis and interpretation of data, and

synthesis of the information to provide valid conclusions.

K5

EVALUATE

PO 5 Modern tool usage: Create, select and apply appropriate techniques, resources

and modern engineering and IT tools, including prediction and modeling to complex e

ngineering activities, with an understanding of the limitations.

K6

CREATE

PO 6 The engineer and society: Apply reasoning informed by the contextual knowledge to

assess societal, health, safety, legal and cultural issues and the consequent responsibiliti

es relevant to the professional engineering practice.

K3

APPLY

PO 7 Environment and sustainability: Understand the impact of the professional engineeri

ng solutions in societal and environmental contexts, and demonstrate the knowledge of

, and need for sustainable development.

K2

UNDERS TAND

PO 8 Ethics: Apply ethical principles and commit to professional ethics and responsibilities

and norms of the engineering practice.

K3

APPLY

PO 9 Individual and team work: Function effectively as an individual, and as a member or

leader in diverse teams, and in multidisciplinary settings.

A3

VALUE

PO 10 Communication: Communicate effectively on complex engineering activities with the

engineering community and with the society at large, such as, being able to comprehen

d and write effective reports and design documentation, make effective presentations, a

nd give and receive clear instructions.

A3

VALUE

PO 11 Project management and finance: Demonstrate knowledge and understanding of the

engineering and management principles and apply these to one’s own work, as a memb

er and leader in a team, to manage projects and in multidisciplinary environments.

K3

APPLY

PO 12 Life-long learning: Recognize the need for, and have the preparation and ability to en

gage in independent and life-long learning in the broadest context of technological cha

nge.

A5

CHARACTERIZE

PSO 1 Ability to design and solve problems in the field of Electronics & Communication Engi

neering by applying the knowledge acquired from Electronic Devices and Circuits, VL

SI Design, Embedded systems, Analog & Digital Communication and other allied topi

cs.

K4

ANALYZE

PSO 2 Ability to identify, formulate and solve the industrial problems using efficient technical

approaches and ability to function in any multi-disciplinary work group for technical c

ontribution as well as independent lifelong learner to adapt to changing engineering tec

hnology.

K5

EVALUATE

TECHNOLOGY CATCHMENT AREA

OBJECTIVE

• To automate the MBRT process.

• The second objective is to update the results

of the test to the dairy plant manager’s

mobile.

METHODOLOGY:

The block diagram of the proposed system is

given in the figure 1. The raw milks are

procured from the various farmers of the

nearby geographical region and are kept in the

container. The test samples are collected from

the containers and the MBRT process is carried

out. This MBRT process is monitored by the

camera module and the video footages are give

n to the raspberrypi3 with open cv. Using color

detection machine learning algorithms, the

time taken for the decolorization of the dye is

detected. Based upon the decolorization time,

the milk samples are classified.

INTRODUCTION:

The Methylene Dye Reduction Test commonly

known as MBRT has widely been practiced in

the dairy industries for assessing the

microbiological quality of raw and pasteurized

milk. This test is based on the fact that the blue

color of the dye solution added to the milk get

decolorized when the oxygen present in the

milk get exhausted due to microbial activity.

The sooner the decolorization, worse is the

bacteriological quality of milk assumed to be.

This entire process is being carried out by

human inspection. Now-a-days the milk

industries have automated the entire dairy

process. But the inspection for assuring the

quality of raw milk (MBRT) has not been

automated. Still the inspection process is

dependent on human laborers. Due to the

non-automated MBRT,

Laborers have to conduct the test and inspect

them frequently over the duration of more than

8 hours. Humans are affected by fatigue.

Humans are not accurate as the machines. If the

process is automated, unwanted human

inspection can be avoided.

Automated Methylene Dye Reduction Test (MBRT) for assuring the qu

ality of Raw Milk.

TECHNOLOGY CATCHMENT AREA

Block diagram of the Proposed Method

Class 1. Excellent quality, not decolorized in 8 hours.

Class 2. Good quality, decolorized in less than 8 hours but not less than 6 hours.

Class 3. Fair quality, decolorized in less than 6 hours but not less than 2 hours.

Class 4. Poor quality, decolorized in less than 2 hours.

The results are collected and it is stored in the cloud database. And also, the results are n

otified to the dairy plant manager through his/her mobile.

Prepared by

I. Anbusuriya

P. Hariprasanth

Final year ECE B

Figure 1: The block diagram of the proposed system

TECHNOLOGY CATCHMENT AREA

Breakthrough Technologies in 2019

Last year has proven the designation of The Year of Intelligence since it brought us

a lot of achievements and changes. As the technologies are constantly improving and the prospects

look exciting, some unexpected trends arise, while old-timers merge with each other expanding hor

izons of their impact. The list of the modern trends is long, so we will focus on those that really too

k off at the end of 2018.

This year we expect exponential changes in every technology direction. Machine learning and artif

icial intelligence will transform the entire industries, making way for virtual helpers and myriad ca

ses for automatization. There will be a potential for smart homes and smart cities, with the Internet

of Things (IoT) becoming intelligent.

1.Artificial intelligence will reshape business strategies

2. Block chain will reveal new opportunities in different industries

3. New approaches to privacy and security are coming

4. The Internet of Things will become intelligent

5. Deep learning will be faster and data collection better

6. AI will refine auto constructing and tuning of models

7. The CDO role will grow extensively

8. Self-teaching AI will be more confident without the human data

To conclude, the year 2019 is very promising for technological innovations. We will witness fa

ster and more accurate Machine Learning and AI applications and some new exciting develo

pments. The exponential improvement of technologies will give the ability for the Internet of

Things, NLP, and self-teaching AI to change not only every business industry but also our eve

ryday life.

References:

https://www.forbes.com/sites/louiscolumbus/2015/12/08/10-advanced-technologies-shaping-the-fu

ture-of-manufacturing-predictive-analytics- leads-the-way/#51e459e562b2

ECE Events

Sl.

NoDate Event Resource Person Participants

1. 29/11/2019-30

/11/2019&1/1

2/2019

PCB Design Mr.J.Mathavan,The proprietor,

Green circuit, Chennai

II year ECE

students

2. 26/11/2019&

27/11/2019

Workshop on IOT Mr.Subash,

Techsubha company,

Virudhunagr

II year Elite

students

3. 8/11/2019 hands on Training on E-boxs

tool

Praveen team lead &development

Engineer,Amphisoft technologies

ECE,EIE and

EEE Faculties

4. 12/10/2019 Guest Lecture on

“Introduction to Machine

Learning”

Dr.V.Sathieshkumar,

Asst.Prof,MIT

Third year EC

E A & B

5. 12/10/2019 Guest Lecture on “Current

Issues in Industries”

M.Chinnathambi,

Viasat Pvt Ltd,Chennai

Final year

ECE A &B

6. 12/10/2019 Program Assessment Commit

tee meeting

Dr.V.Sathieshkumar,

Asst.Prof,MIT.

M.Chinnathambi,

Viasat

Academician,

Industrialist,

Parents,

Alumni ,

Faculty and

Students

7. 18/7/2019 Inaugural function "Institute

of Engineers students chapter

”

The Secretary,IE(I), chapter

Madurai, Station Engineer,

All India Radio, Madurai.

ECE Faculty

members.

ECE Events

Sl.

NoDate Event Resource Person Participants

126.11.2019 &

27.11.2019

ECE Association

organized “Workshop

on Internet of Things”

Mr.Subash,

Managing Director,

TechSubha Innovative Solutions,

Virudhunagar

II year ECE

Elite

students

2 12.10.2019

Guest lecture on

Introduction to

Machine learning

Mr.Sathiesh Kumar,

Assistant Professor,

Madras Institute of Technology,

Anna University Campus,

Chennai

III year

ECE

students

3 30.8.2019Guest lecture on python

programming

Mr.Sasikumar,

Senior Software Engineer,

SSi Education,

Madurai

First year

ECE

students

4 3.8.2019Guest lecture on IOT

Products

V.KalayanaRaman and his team

DesignTech System Ltd, Chennai

Faculty

members

from ECE,

EEE,EIE and

Final year

ECE

students

5 27.07.2019

Guest lecture by

Industrial expert on

“Machine learning and

Artificial Intelligence”

Mr.T.Palaniappan,

Senior Project Manager,

Sree Mookambiga Infotech,

Chennai

II year ECE

students

6 29.06.2019Guest lecture on “Test

Engineering”

Ganesan.S,Somashekar,Shrinivas

Mirji,Director and Senior Technica l

experts ,Tessolve Test Engineering,

Bangalore

Faculty mem

bers and IV

ECE and III

ECE

students

7 25.06.2019

Guest lecture on

“Signal Processing

applications for IoT”

DR.M.Sabarimalai Manikandan,

IIT, Bubaneshwar

Faculty

Members

and III year

ECE

students

ECE Events

INAUGURAL FUNCTION OF INSTITUTE OF ENGINEERS

GUEST LECTURE ON “INTRODUCTION TO MACHINE

LEARNING”

GUEST LECTURE ON “EMPLOYABILITY SKILLS”

Student Achievements

Sl No Name Name of the programme Prizes Organizing Institution

1 S.M.Anna Lakshmi NPTEL-Digital Circuits Elite IIT

2 S.Nagalakshmi NPTEL-Digital Circuits Elite IIT

3 M.Nandhini NPTEL-Digital CircuitsSuccessfully

completed

IIT

4 M.Sudaroli NPTEL-Digital CircuitsSuccessfully

completed

IIT

5 G.Sorna Selvam NPTEL-Digital CircuitsSuccessfully

completed

IIT

6 Madhu Sivani NPTEL-Digital CircuitsSuccessfully

completed

IIT

7 S. Pradeepa NPTEL-Digital CircuitsSuccessfully

completed

IIT

8 R.Pavithra NPTEL-Digital CircuitsSuccessfully

completed

IIT

9 A.AmbikaNPTEL_Digital

Switching - I

Successfully

completed

IIT

10 G.Chithra Devi

NPTEL-Principles of

Communication Systems

– Part II

Successfully

completed

IIT

11 V.R.Gayathri Devi

NPTEL-Principles of

Communication Systems

– Part II

Successfully

completed

IIT

12 K.Hindhuja

NPTEL-Principles of

Communication Systems

– Part II

Successfully

completed

IIT

13 M.Shafreen FarhathNPTEL-Data Base

Management SystemsElite

IIT

14 P. Roopa DharshiniNPTEL-Data Base

Management SystemsElite

IIT

Placement CORNER

SL. NO

.NAME OF THE STUDENT NAME OF THE COMPANY

SALARY/ANNUM

* (Rs.)

1 BALA ARUNA M SmartDV2,16,000

2 VARSHA.N Data Pattern, Chennai 2,16,000

3 GAYATHRI R Data Pattern, Chennai 2,16,000

4 NANTHITHAA SHREE R Data Pattern, Chennai 2,16,000

5 SASIKARAN M Infosys 3,60,000

6 BALAARUNA M Infosys 3,60,000

7 PIRAKASH S A Clustrex,Chennai 2,50,000

8 YUVA SHREE S Sri Moogambigai InfoTech 1,80,000

9 SHANMUHAPRIYA.L Sri Moogambigai InfoTech 1,80,000

10 FATHIMA NILOFER.M Sri Moogambigai InfoTech1,80,000

11 Hariharan TCS,Chennai 3,368,75

12 Bharathi.M TCS,Chennai 3,36,875

13 Vijayalakshmi.B TCS,Chennai 3,36,875

14 Pirakash TCS,Chennai 3,36,875

15 Devarajan Just dial 2,40,000

16 Karthikeyan.C Just dial 2,04,000

17 Mukeshsiddarth Just dial 2,04,000

18 Sriram.A CTS4,00,000

HEARTY CONGRATULATIONS!!!

Placement CORNER

SL. NO. NAME OF THE STUDENT Name of the Company SALARY/ANNUM

* (Rs.)

19 DEEPASRI William Wonders 72,000

20 SANTHOSHRAJA TVS, Madurai1,44,000

21 SHANMUHAPPRIYA.L Tessolve Semiconductor Pvt.Ltd 3,36,564

22 DANEL HILTON.WTessolve Semiconductor Pvt.Ltd 3,36,564

23 RAGESHWARI.DTessolve Semiconductor Pvt.Ltd 3,36,564

24 MANOJ RAJ K Indian Navy 2,16,000

HEARTY CONGRATULATIONS!!!

Mr. M.Aarif Hussain, IV ECE

Best Student, ISTE Chapter

Faculty Achievements

Guest Lecturer Delivered/Acted as Resource person

Sl.No Name of the FacultyName of the

Program Organizing Institution

Resource

Person

1 P.AravindATAL Tinkering

Lab-

PKN girls higher secondary

school

Resource

person

2 Mrs.Vidya P Janaki

Implementing

Latest technologi-

es on health care-

using arduino uno

-ATAl Tinkering

Lab

PKN girls higher secondary

school

Resource

person

3Mr.Wesley Moses

Samdoss

ATAl Tinkering

LabPKN girls higher secondary

school

Resource

person

4 Mrs.Vidya P Janaki

Hands training on

working and

application of

sound sensor,color

recognition sensor

and metal touch se

nsor-

ATAl Tinkering

Lab

PKN girls higher secondary

school

Resource

person

5Mr.Wesley Moses

Samdoss

Hands training on

working and

application of

sound sensor, colo

r recognition sens

or and metal touch

sensor-

ATALTinkering

Lab

PKN girls higher secondary

school

Resource

Person

Faculty Achievements

FDP/Seminar/Workshop Attended by Faculty

Sl No Name of the Faculty Name of the Programme Organizing Institution

1 Mrs.Nisharani5G-technologies massive MIMO, millimet

er wave mimo, NOMA,full duplex,NB-Iot

IIT Kanpur held at

Ramaiah institute of

Technology, Bengaluru

2 Mr. P. AravindInternational association of professional c

oaches, therapist and counselors NLP

3 Mrs. T. PrathibaHigh Intense Course on Machine

Learning using matlab

Coimbatore Institute of

Technology, Coimbatore

4 Mr. M. RameshNational Seminar on Antenna

Design 5G test beds

Velammal College of

Engineering and technology,

Madurai

5 Mrs. Vidhya P janakiAdvanced Antenna Pattern Synthesis and

Beam forming with Computation IIT Varangal

6 Dr. C. Geetha Priya

Intensive Training Programme on Comm

unication System design using NI SDR

USRP Platform

Thiagarajar College of

Enginnering, Madurai

7 Mr. P. Aravind

Intensive Training Programme on Comm

unication System design using NI SDR

USRP Platform

Thiagarajar College of

Engineering, Madurai

Test your Aptitudes

Gate Questions

•A metal sphere with 1 m radius and surface charge density of 10 Co

ulombs / m2 is enclosed in a cube of 10 m side. The total outward el

ectric displacement normal to the surface of the cube is

(a) 40 π Coulombs (b)10 π Coulombs (c) 5 π Coulombs (d)No

ne of the above

Soln.

The sphere is enclosed in a cube of side = 10m. using Gaus

s’s law, the net electric flux flowing out through a closed surface is e

qual to charge enclosed.

Apptitude Question

1. A shopkeeper sold an article for Rs. 2500. If the cost price of the a

rticle is 2000, find the profit percent.

1.23%

2.25%

3.27%

4.29%

The Correct answer is (B)

Answer with explanation:

C.P. = Rs. 2000

S.P. = Rs. 2500

Profit or Gain = S.P. -C.P.

= 2500 - 2000 = 500

Editorial Board

1

9

Mr.R.Ashok, AP/ECE

Mr.Alwyn Rajiv, AP/ECE

Inspirational Quotes