5th IEEE Sponsored International Conference on Computer, Communication and Signal Processing (ICCCSP 2021)


IEEE Conference Record #49186

ICCCSP 2021

April 24-25, 2021

 

Conference is rescheduled

As the conference is virtual, 50% of the registration fees will be refunded after the conference.


Supported by
IEEE Computer Society Madras Chapter
ACM Chennai Professional Chapter
IEEE Computational Intelligence Society (CIS) Madras Chapter
IEEE Communications Society (COMSOC), Madras Chapter

Organized by
Department of Information Technology
SSN College of Engineering
Rajiv Gandhi Salai, Kalavakkam - 603110,
Chennai, Tamilnadu, India.

Program Schedule

About the College


SSN College of Engineering (SSN CE) the outcome of the vision and initiative of Padma Bhushan Dr. Shiv Nadar, Chairman of HCL Technologies Ltd, holds great pride in retaining itself as Tamil Nadu’s one of the premier education institutions offering courses in Information Technology, Computer Science and Engineering, Mechanical Engineering, Electronics and Communication Engineering, Electrical and Electronics Engineering, Civil Engineering, Chemical Engineering and Biomedical Engineering, dwelling even into research. Providing state of the art educational facilities, SSN Institutions excel at providing variety of stimulating environments for intellectual development, free thinking, and personal growth to all its inhabitants, both students and staff. Having top-notch faculty, with the majority of them in possession of Doctorate of Philosophy, SSN Institutions delegate theoretical and practical knowledge to its cherished students giving them a hands-on experience on how the clock ticks. Exposing them not just to academia, SSN Institutions also instill the sense of social responsibility by supporting the growth among the Youth Red Cross and National Service Scheme. Endorsing such diverse culture, SSN Institutions bag the position of an Institution with most merited scholars in the state.

About the Department


Founded in the year 1999, the Department of Information Technology offers both Bachelor (B.Tech) and Master (M.Tech) in Information Technology, Doctorate of Philosophy (Ph.D.) and Master of Science in Information Technology (by research). Being a part of the center aimed at excellence, the department, with 28 paramount faculty excelling at various domains of the field, consigns its 600+ students with an aroma of theory and relative practical knowledge. Equipped with avant-garde classrooms and laboratories, students are endowed with a pioneering atmosphere dedicated to technical and theoretical growth. To highlight some of our faculty research expertise - Speech Analysis, Signal Processing, IoT, Blockchain, Image Processing, Machine Learning, Cyber Security and Wireless Communication. The department rejoices the limelight by encouraging collaborative projects between its faculty and students.

 

About ICCCSP 2020


Theme:

Special focus on Data Visualization

The proposed conference, ICCCSP ( International Conference on Computer, Communication, and Signal Processing ) 2020 - is an event that sheds the spotlight on the recent trends in the research areas of Computer Science, Communications and Signal Processing. The 2020 edition of the annual conference holds its lens on Data Visualization.

       Data Visualization, as a highly interdisciplinary and dynamic field, behind the screens is the cardinal reason for the growth and development of Information Technology. This event brings together researchers, students, and practitioners who are interested in Big Data, Data Engineering, Data Mining, Statistical Learning and Modelling, Machine Learning, Visualization, and Predictive Analytics, by creating a forum for sharing knowledge and ideas motivated by the diversity of experts spread across the vast geology.

Gallery


1 / 3
ICCCSP 2019
2 / 3
ICCCSP 2018
3 / 3
ICCCSP 2017
 

Call for Papers


Authors are solicited to contribute to the conference by submitting the original unpublished articles in the following areas, but not restricted to:

  • Data Analytics and Visualization
  • Big Data Management and Applications
  • Knowledge Processing and Modeling
  • Artificial Intelligence
  • Prediction Analysis
  • Data Science
  • Cyber Security
  • 5G Technology
  • Blockchain
  • Blue Brain Technology
  • Speech Technology
  • Machine Learning
  • Internet of Things
  • Image and Video Analytics
  • Soft Computing
  • Fog and Cloud Networking
  • Quantum Computing
  • Natural Language Processing
  • Wireless Ad-hoc and Sensor Networks
  • Augmented/Virtual Reality
  • Human Machine Interface
  • Expert and Decision Support Systems

Submission


Author Instructions
 

Paper Submission Guidelines:

1. General Information

The original unpublished Technical Papers, Articles and Working Papers having maximum length 6 pages on the topics related to the theme of the conference are invited for presentation/publication in the conference proceedings.

  1. Kindly ensure that your paper is formatted as per Template (not exceeding 6 pages) single-spaced double-column pages using 10-point size font on 8.5×11 inch pages (IEEE conference style), including authors’ affiliations, figures, tables, and references. See IEEE style templates at this page for details. Additional pages per paper above the 6 pages limit will be charged.
  2. All papers must be submitted online via EasyChair submission system portal. Link to EasyChair submission can be found here.
  3. All submissions will undergo a double-blind peer review by the team of peer reviewers based on originality, relevance to the conference theme, technical strength, significance, quality of results, and organization and clarity of presentation of the paper.
 

2. Plagiarism Policy

  1. The paper prior to submission should be checked for plagiarism from licensed plagiarism softwares like Turnitin/iAuthenticate etc.
  2. The similarity content should not exceed 20% (in any case either self contents or others).
  3. Further, you have to strictly implement the following ethical guidelines for publication:
    1. Any form of self-plagiarism or plagiarism from others' work(s) should not be there in an article.
    2. If any model / concept / figure / table / data / conclusive comment by any previously published work is used in your article, you should properly cite a reference to the original work.
    3. If you are using any copyrighted material, you should acquire prior permission from the copyright holder.
 

All questions about submissions can be sent as mail to icccsp2020@it.ssn.edu.in


 

Publication


 

All submitted papers will undergo a rigorous peer-review process. The authors of the selected papers will be invited to present their work in the conference after registration. Only the accepted, registered and presented papers will be published in the IEEE ICCCSP 2020 conference proceedings. The conference proceedings will be submitted for the possible inclusion into IEEE Xplore after the papers undergo a further round of reviews, at the discretion of IEEE.

Speakers


Under Construction

Committee


      

Dr. Shiv Nadar
Chief Patron
 
Ms. Kala Vijayakumar
Patron
Dr. S. Salivahanan
General Chair
Dr. T. Nagarajan
Conference Chair


 
Dr. I. Joe Louis Paul
Organizing Chair
Dr. V. Thanikachalam
Organizing Chair
Dr. S. Sasirekha
Organizing Chair
Ms. R. Swathika
Organizing Chair
 
Dr. Anbarasu Manivannan
Indian Institute of Technology, Madras, India
Dr. C Malathy
SRM University, Chennai, India
Dr. D Devaraj
IEEE Madras Section, India
Dr. Douglas O’Shaughnessy
INRS-EMT, University of Quebec, Canada
Dr. Harish Ramani
Tevel Cyber Corps Private Limited, Chennai, India
Dr. Hema A. Murthy
IIT Madras, India
Mr. HR Mohan
Chair, ACM India Chennai, India
Dr. K Sreenivasa Rao
IIT Kharagpur, India
Dr. K K Thiyagarajan
RMD Engineering College, Chennai, India
Dr. Kamal Zuhairi Zamli
Universiti Malaysia Pahang, Malaysia
Dr. M S Sricharan
Wipro Technologies, India
Dr. M Saravanan
Ericsson Research, India
Dr. M Sethumadhavan
Amrita Vishwa Vidyapeetham, Coimbatore, India
Dr. Mary Anita Rajam V
Anna University, India
Dr. N Kumarappan
IEEE Madras Section, India
Dr. P A Manoharan
Chairman, IEEE Madras Section, India
Dr. P Deepalakshmi
Kalasalingam University, India
Dr. P Ranjani Parthasarathy
Anna University, India
Dr. P Sakthivel
Chair, IEEE CS Madras, Anna University, India
Dr. R Venkatesan
IEEE Madras Section, India
Dr. Radhika M Pai
Manipal Institute of Technology, Manipal, India
Dr. S R Mahadeva Prasanna
IIT Guwahati, India
Dr. S Krishna Kumar
DRDO, Ministry of Defence, Chennai, India
Dr. S Mercy Shalinie
TCE, India
Dr. S Palanivel
Annamalai University, India
Dr. S Swamynathan
Anna University, India
Dr. Saravanan Chandran
NIT, Dhurgapur, India
Mr. Shankar Radhakrishnan
Cognizant, India
Dr. Suresh Sankaranarayanan
SRM University, Chennai, India
Dr. T Mala
Anna University, India
Dr. T Ragunathan
SRM University, AP – Amaravati, India
Dr. V Jayaprakasan
IEEE Madras Section, India
Dr. V N Mani
Scientist-F, C-MET, Dept. of Electronics & IT, Govt. of India, Hyderabad, India
Dr. Vitaliy Mezhuyev
FH JOANNEUM University of Applied Sciences, Austria
Dr. Xiao-Zhi Gao
University of Eastern Finland, Finland
 
 
Dr. R. Srinivasan
Dr. A. Shahina
Dr. T. SreeSharmila
Dr. S. Chithra
Dr. N. Bhalaji
Dr. S. Karthika
Dr. P. Vasuki
Dr. S. Mohanavalli
Dr. K. R. Uthayan
 
 
Dr. S. Poornima
Dr. N. Sripriya
 
 
Dr. E. M. Malathy
Ms. S. Vidhusha M.E.,
Ms. Ms. S. Uma Maheswari
Mr. V. Sivamurugan
 
 
Ms. J. K. Josephine Julina
Ms. N. Radha
Ms. J. Sofia Jennifer
 
 
Mr. A. Sandana karuppan
Mr. V. Arul Kumar
Mr. K. Kabilan
 
Dr. T. Shanmughapriya
Mr. R. VinobChander

Timeline Details


Events Starts Closes
Paper Submission 1-October-2019 15-February-2020
29-February-2020
(Hard Deadline Closed)
Notification of Acceptance Closes on
29-February-2020 (Selection list 1)
07-March-2020 (Selection list 2)
14-March-2020 (Selection list 3)
21-March-2020 (Selection list 4)
28-March-2020 (Selection list 5)
04-April-2020 (Selection list 6)
Registration and CRC Submission 1-March-2020 31-March-2020
04-April-2020
10-April-2020 (Hard Deadline)
Conference
22-23 April 2020

Date Postponed

Registered Participants: Please check email for further details

Registration Details


ICCCSP 2020 – Registration Fees

** Early Bird Registration (Get 10 % offer) ends on 08 March 2020 for Author Category Only.

*For Each Extra Page:

       Indian Author: ₹ 500

       Foreign Author: 10 USD

 
Account Details
Account Holder’s Name : THE PRINCIPAL, SSN COLLEGE OF ENGINEERING
Name of the bank : Tamilnadu Mercantile Bank Ltd.
Branch : Chennai- Thiruvanmiyur
Account No. : 158100050070022
Account Type : Savings
IFSC Code : TMBL0000158
Swift Code : TMBLINBBCHE

Program Schedule


Invitation - Please Click Here
Program Schedule - Please Click Here
Zoom Meeting Credentials - Session-wise - Please Click Here
 

Day 1 (September 28, 2020)

Day 1 (Forenoon)

09:00 AM to 09:15 AM (IST): Welcome Address

09:15 AM to 09.30 AM (IST): Inaugural Session

09:30 AM to 10:30 AM (IST): Keynote Address

Title of the Talk: Bone Tissue Characterization: From Fractals to Deep Learning

Speaker:

Dr. Rachid Jennane, Professor, I3MTO Laboratory, University of Orleans, France.

Abstract of the Talk:

Deep learning (DL) is providing exciting solutions for medical image analysis problems and is seen as a key method for future applications. Meanwhile, fractal analysis for the characterization of complex structures is widely used in many fields. For the characterization of the bone tissue, both approaches (Deep Learning and Fractals) have received a lot of interest. This talk will focus on the use of the fractional Brownian Motion (fBm) model and DL models for image analysis. Starting from the fBm of unique parameter H, different stochastic models are defined and discussed. DL models for bone disease classification are presented and discussed. An application of these models to osteoporosis and knee osteoarthritis diagnosis will be also presented.

10:45 AM to 01:15 PM: Paper Presentation

Track I: Signal Processing

Session I (Venue: Online)

 

Session Chairs

 

Dr. P. Vasuki, Dr. N. Sripriya

Paper IDs

 

13

 

38

 

72

 

59

 

74

 

166

 

20

 

25

 

120

 

35

Track I - Session I: Presentation Videos – Please Click Here
 
Day 1 (Afternoon)

01:30 PM to 01:45 PM (IST): Welcome Address

01:45 PM to 02:45 PM (IST): Keynote Address

Title of the Talk: Forecasting Data Center Energy Demand Using Machine Learning

Speaker:

Dr. G. R. Gangadharan, Associate Professor, NIT Trichy, India.

Abstract of the Talk:

Data centers evolve constantly in size, complexity, and power consumption. Energy management in data centers is a critical and challenging research issue. It becomes necessary to minimize the operational costs as well as environmental impact and to guarantee the service-level agreements for the services provided by the data centers. In this talk, we will discuss the concepts of Green data centers and applying machine learning approaches for forecasting energy consumption in data centers.

03:00 PM to 05:30 PM: Paper Presentation

Track III: Communication

Session I (Venue: Online)

 

Session Chairs

 

Dr. N. Bhalaji, Dr. E.M. Malathy

Paper IDs

 

27

21

24

84

143

112

36

 

48

Track III - Session I: Presentation Videos – Please Click Here
 

Day 2 (September 29, 2020)

Day 2 (Forenoon)

08:45 AM to 09:00 AM (IST): Welcome Address

09:00 AM to 10:00 AM (IST): Keynote Address

09:30 AM to 10:30 AM (IST): Keynote Address

Title of the Talk: Communication technologies to augment internet access network

Speaker:

Dr. A. Paventhan,Director (R&D), Education and Research Network (ERNET), Ministry of Electronics and Information Technology, Government of India.

Abstract of the Talk:

This talk will present some of the complementary access network technologies for internet connectivity, evolving standards, typical use cases, deployment experiences and challenges. Some of the technologies that will be covered include LiFi – utilizing LED lamps for data transmission, Free Space Optical communication – uses infrared laser light, TV white space – leverages unused TV frequencies for communication, Power Line Communications –uses electricity cables to carry data and LoRaWAN – supports long range, low power consumption suitable for IoT networking.

10:15 AM to 12:45 PM (IST): Paper Presentation

Track II: Computer

Session I (Venue: Online)

 

Session Chairs

 

Dr. S. Mohanavalli, Dr. S. Karthika

Paper IDs

 

37

 

41

 

63

 

28

 

80

 

67

 

60

 

79

 

69

Track II - Session I: Presentation Videos – Please Click Here
 

Session II (Venue: Online)

 

Session Chairs

 

Dr. S. Chithra, Dr. K. R. Uthayan

Paper IDs

 

61

 

31

 

54

 

70

 

173

 

178

 

180

 

172

 

189

Track II - Session II: Presentation Videos – Please Click Here
 
Day 2 (Afternoon)

01:30 PM to 01:45 PM (IST): Welcome Address

01:45 PM to 02:45 PM (IST): Keynote Address

Title of the Talk: From Turing Test to the Octopus Test: Making sense of the Deep Revolution in NLP

Speaker:

Dr. Monojit Choudhury, Principal Researcher, Microsoft Research Lab India.

Abstract of the Talk:

Natural Language Processing (NLP), or more specifically Natural Language Understanding (NLU) has been one of the holy grails of AI since its inception. In 1950, Alan Turing proposed the eponymous Turing Test as the ultimate test for AI; despite various criticisms, it has been an elusive goal for AI, and still remains one of its hardest problems. With the waves and winters of AI, NLU has also gone through interleaving times of hopes and despair. Are we any closer to solving NLU now while riding the third wave of AI fueled by the deep learning revolution? Deep learning has indeed revolutionized NLP. Accuracy numbers on many NLP tasks, such as machine translation, natural language inferencing, and question answering, has broken all the previous records by large margins. Lot of these achievements are credited to recent advances in word-embedding techniques and architectures like GPT-3. More recently, the unreasonably high success of massively multilingual zero-shot learning through “multilingual BERT”, “XLM Roberta” has left NLP researchers and linguists dumbfounded. A new field, called BERTology, has emerged that analyzes and seeks to explain the mystery behind these models. Does this mean we have solved the problem of NLU? In ACL 2020, Kohler and Bender, propose the Octopus Test, which is a thought experiment to show that none of these models actually understand natural language. In another work (Joshi et al., 2020) from our work group at MSR India, we argue that even with all these achievements, 88% of the world’s languages and 1.2 Billion speakers will have no advantage of these technologies because of the mammoth data requirements of the models. Yet another work at ACL 2020 by Riberio et al., show that state-of-the-art deep learning systems fail on many simple NLP tasks. Then where do we stand? In this talk, I will tell you this story of NLP and NLU, without any mathematical equations, and end on a high note on the possible ways of achieving this holy grail.

03:00 PM to 05:30 PM (IST): Paper Presentation

Track I: Signal Processing

Session II (Venue: Online)

 

Session Chairs

 

Dr. R. Srinivasan, Dr. T. Sree Sharmila

Paper IDs

 

123

 

10

 

164

 

163

 

115

 

135

 

26

 

85

 

75

 

176

Track I - Session II: Presentation Videos – Please Click Here
 

Track III: Communication

Session II (Venue: Online)

 

Session Chairs

 

Dr. S. Poornima, Dr. T. Shanmugapriya

 

Paper IDs

 

128

 

154

 

124

 

106

 

125

 

155

 

11

Track III - Session II: Presentation Videos – Please Click Here

05:30 PM 05:45 PM (IST): Valedictory

Sponsors


 

Financial Sponsors


 

Technical Sponsors


Supported by


 

Conference Management


Contact Us!


Ready to join hands with us? That's great! Give us a call or send us an email and we will get back to you as soon as possible!

(+91) 44-2746 9700

Mobile:

Dr. V. Thanikachalam

99624 53600

SSN College of Engineering
Rajiv Gandhi Salai,
Kalavakkan - 603110,
Tamilnadu, India.