Proceedings of Third International Conference on Communication, Computing and Electronics Systems

1. Front Matter

   Pages i-xviii

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2. OTT (Netflix) Film Recommender System Using Data Mining

   • Deshak Bhatnagar

   Pages 1-10

3. Dietary Assessment and Nutritional Analysis Using Deep Learning

   • S. Madhumitha, M. Magimaa, M. Maniratnam, N. Neelima

   Pages 11-21

4. Analyzing Game Theory Applications in a Layered Perspective for a Non-cooperative Environment with the Existence of Nash Equilibria in Various Fields of Research

   • S. Kanmani, M. Murali

   Pages 23-43

5. Essay Scoring Systems Using AI and Feature Extraction: A Review

   • S. Vijaya Shetty, K. R. Guruvyas, Pranav P. Patil, Jeevan J. Acharya

   Pages 45-57

6. Development of Real-Time Violence Detection with Raspberry Pi

   • J. Krishna Chaithanya, Mohammand Alisha, S. Manish Sagar, K. Raghuram

   Pages 59-73

7. Secure Optical Image Encryption and Data Hiding Technique in Compression Domain Using Dual Key-Based Bit Swapping

   • L. Anusree, M. Abdul Rahiman

   Pages 75-87

8. Analysis of Machine Learning Algorithms for Predicting the Suitable Career After High School

   • Albin Thomas, Alen K. Varghese, P. L. Alex, Bobby Joseph Mathews, L. K. Dhanya

   Pages 89-105

9. An Enhanced Approach to Predict Re-occurrences of Breast Cancer Using Machine Learning

   • M. Sheshikala, Dadi Ramesh, Sallauddin Mohmmad, Syed Nawaz Pasha

   Pages 107-117

10. Image Processing-Based Switching Matrix for PV Array Under Partial Shading Conditions

    • D. Manimegalai, M. Karthikeyan

    Pages 119-138

11. A Deep Learning Implementation of End-to-End Image Denoising Steganography Model

    • Raksha Ramakotti, Surekha Paneerselvam

    Pages 139-151

12. Analysis on Contribution of Cryptography and Steganography in Protecting Information in Diverse Environments

    • Muzammil H. Mohammed

    Pages 153-158

13. Segmentation and Sentiment Word Categorization Using Feature Extraction—A Novel ASFW Framework

    • S. Ashika Parvin, M. Sumathi

    Pages 159-174

14. Emotion Recognition Using Deep Learning in Pandemic with Real-time Email Alert

    • Arnab Dey, Kousik Dasgupta

    Pages 175-190

15. A Detailed Study on State of Charge Estimation Methods

    • Rakhee Kallimani, Shweta Gulannavar, Krishna Pai, Prachi Patil

    Pages 191-207

16. Understanding Partial Discharges and Its Role in Condition Monitoring of Insulators

    • Lekshmi Kaimal, Ramesh Kulkarni

    Pages 209-226

17. Analysis and Mitigation of Co-channel Interference in Downlink of Land Mobile Satellite Systems

    • Rachana B. Nair, S. Kirthiga

    Pages 227-238

18. Comparative Analysis of Time Series Forecasting Algorithms

    • Deepankar Verma, Chhavi Rana

    Pages 239-255

19. Binary and Multiclass Classifications Using a Deep Fusion Network

    • Amay Gada, Russel Lobo, Dhruv Bohara, Dhruvi Jodhawat, Pratik Kanani

    Pages 257-272

20. Integrating Mobile Applications ICT and Digital Tasks Through Online English Language Classrooms

    • J. Karthikeyan, Seng Tong Chong, Binoy Barman

    Pages 273-288

This book includes high quality research papers presented at the International Conference on Communication, Computing and Electronics Systems 2021, held at the PPG Institute of Technology, Coimbatore, India, on 28-29 October 2021. The volume focuses mainly on the research trends in cloud computing, mobile computing, artificial intelligence and advanced electronics systems. The topics covered are automation, VLSI, embedded systems, optical communication, RF communication, microwave engineering, artificial intelligence, deep learning, pattern recognition, communication networks, Internet of Things, cyber-physical systems, and healthcare informatics.

• Informatics
• Electronics
• Machine Learning and Optimization
• VLSI Design and Automation
• Electronic systems
• Computing and computers
• ICCCES 2021
• ICCCES Proceedings

• Department of ECE, PPG Institute of Technology, Coimbatore, India

  V. Bindhu

• Departamento de Engenharia Mecânica, Faculdade de Engenharia, Universidade do Porto, Porto, Portugal

  João Manuel R. S. Tavares

• Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada

  Ke-Lin Du

Dr. V.Bindhu received the B.E degree in Electronics and Communication Engineering from Bharathair University, Coimbatore in 2002 and M.E. Degree in Applied Electronics from Anna University, Chennai in 2007 and PhD Degree from Anna University, Chennai in 2014. She has 11 years of teaching experience and 6 years of research experience. Currently, she is a professor at PPG Institute of Technology, Coimbatore. Her area of interest includes Signal processing, and VLSI Design.

João Manuel R. S. Tavares graduated in Mechanical Engineering at the Universidade do Porto, Portugal in 1992. He also earned his M.Sc. degree and Ph.D. degree in Electrical and Computer Engineering from the Universidade do Porto in 1995 and 2001, and attained his Habilitation in Mechanical Engineering in 2015. He is a senior researcher at the Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial (INEGI) and Full Professor at the Department of Mechanical Engineering (DEMec) of the Faculdade de Engenharia da Universidade do Porto (FEUP).

João Tavares is co-editor of more than 60 books, co-author of more than 50 book chapters, 650 articles in international and national journals and conferences, and 3 international and 3 national patents. He has been a committee member of several international and national journals and conferences, is co-founder and co-editor of the book series “Lecture Notes in Computational Vision and Biomechanics” published by Springer, founder and Editor-in-Chief of the journal “Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization” published by Taylor & Francis, Editor-in-Chief of the journal “Computer Methods in Biomechanics and Biomedical Engineering” published by Taylor & Francis, and co-founder and co-chair of the international conference series: CompIMAGE, ECCOMAS VipIMAGE, ICCEBS and BioDental. Additionally, he has been (co-)supervisor of several MSc and PhD thesis and supervisor of several post-doc projects, and has participated in many scientific projects both as researcher and as scientific coordinator.

Dr. Ke-Lin Du received the PhD in electrical engineering from Huazhong University of Science and Technology, China, in 1998. He founded Xonlink Inc., Ningbo, China in 2014. He was Chief Scientist at Enjoyor Inc., Hangzhou, China from 2012 to 2014. He was on research staff at Department of Electrical and Computer Engineering, Concordia University, Montreal, Canada from 2001 to 2010. Prior to 2001, he was on technical staff with Huawei Technologies, China Academy of Telecommunication Technology, and Chinese University of Hong Kong. He visited Hong Kong University of Science and Technology in 2008. Currently, he is an Affiliated Associate Professor in the Department of Electrical and Computer Engineering at Concordia University from the year of 2011. His research area includes signal processing, wireless communications, and soft computing.