Applications of Networks, Sensors and Autonomous Systems Analytics: Proceedings of Icansaa 2020

ISBN-13: 9789811673047 / Angielski / Twarda / 2021

Mandal, Jyotsna Kumar

Opis

This book presents high-quality research papers presented at International Conference on Applications of Networks, Sensors and Autonomous Systems Analytics (ICANSAA 2020), held during December, 11 – 12, 2020, at JIS College of Engineering, Kalyani, West Bengal, India. The major topics covered are cyber-physical systems and sensor networks, data analytics and autonomous systems and MEMS and NEMS with applications in biomedical devices. It includes novel and innovative work from experts, practitioners, scientists, and decision-makers from academia and industry.

Spis treści

Application of IoT in Industries: A Survey of Security Concern

A Survey on Autonomous Vehicles in the field of Intelligent Transport System

Decentralized Voting : A Blockchain based Voting System

Asymptotic Behavior for First-order Difference Equations I

Development of a Framework for Smart Energy Meter Reader using Image Processing

Real-time air quality monitoring system based on IoT

A comparative analysis of sensor based pipe crack detection system

A Two layer Dynamic load balancing algorithm applied in Cloud Computing

Brief study in usage of Smart Meter & Artificial Intelligence in energy savings

Application of Blockchain in Healthcare especially to Fight against COVID-19-A Survey

A Novel Approach to Microgrid Fault Detection Using Empirical Mode Decomposition

Approximate Computing: Error Tolerant Adder

A Low-Latency Scheme Using Real-time Constraints for V2V Communication in VANET

Loopbeat - A Novel Technical Approach To Enhance The Home Automation Ability Of A NodeMCU Using Demultiplexer ICs And 555 Timer ICs With Cloud-Based Remote Access

Prediction of Stock Price Using Machine Learning

Encryption and Error Control in Satellite Images using Linear Block Code

A Fundamental Review on Hyperspectral Segmentation Algorithms

A Decision Support System for Big-Data Analytics Integrated IoT-based Condition Monitoring System of Transformers Fleet

A Machine Learning Approach to Predict Disease for Accurate Diagnosis

ROTOGRAVURE PRINTING BAND ANALYSIS WITH THE HELP OF MACHINE LEARNING

Remote Health Support for Person with Probable High Risk of COVID-19 under Machine Learning Framework.

Credit Card Fraud Detection Using Soft Computing

Deep Learning based approach using Word and Character embedding for Named Entity Recognition from Hindi-English Tweets

A Survey on Covid19 Case Analysis using Machine Learning

An Intelligent Approach for Detecting Covid-19 Probability

Fuzzy Model for Evaluating Water Quality of Ganga during Durga Puja

Vehicle License Plate Image Preprocessing Strategy under Fog / Hazy Weather Conditions

Performance analysis of heterogeneous dielectric TFET

Thermal Entanglement of a Spin -1/2 Transverse Ising Model – Heisenberg Model on a Balanced DNA Helix

PID control parameter tuning using linear multivariate model

The Effects of Metal Ion Doped Ceramic Fillers into Poly (Vinylidene Fluoride) Matrix: A comparative investigation and its application in micro-electronics industry

Design and Development of a BVM based Mechanical Ventilator

A survey paper on Algorithm of Wireless Body Area Network

Switching effects in metalloporphyin system due to the withdrawal of spin symmetry

O autorze

Dr. Jyotsna Kumar Mandal(F232495) has done M. Tech. in Computer Science, CU, Ph. D. (Eng.) in Computer Science and Engineering JU. Dr. Jyotsna Kumar Mandal is a professor of CSE, KU, former dean, FETM, KU director, IQAC, and has34 years of teaching and research experience in coding theory, data and network security and authentication; remote sensing and GIS-based applications, data compression, error correction, visual cryptography, and steganography. Dr. Jyotsna Kumar Mandal awarded 24 Ph. D. degrees, one submitted and eight are pursuing and supervised 03 M. Phil, more than 80 M. Tech and more than 130 M.C.A. Dissertations. Dr. Jyotsna Kumar Mandal is a guest editor of MST Journal (SCI indexed) of Springer. Dr. Jyotsna Kumar Mandal published more than 400 research articles out of which 180 articles in international journals, published eight books. And Dr. Jyotsna Kumar Mandal published a text book on Reversible Steganography and Authentication via Transform Encoding from Springer. Dr. Jyotsna Kumar Mandal completed five research projects.  Higher Education Department, Government of West Bengal, India, conferred him “Siksha Ratna” award for outstanding performance in education in 2018.

Professor Mike Hinchey is President of IFIP, emeritus director of Lero-the Science Foundation Ireland Center for Software, and Professor of Software Engineering at University of Limerick, Ireland. He was the director of the NASA Software Engineering Laboratory. As the holder of 30 US patents, in 2009 he was awarded NASA’s Kerley Award as Innovator of the Year and is recognized in the NASA Inventors Hall of Fame. He received a Ph.D. in Computer Science from the University of Cambridge, is an  Honorary Fellow of the CSI, India, and was SEARCC Global ICT Professional of the Year 2018. He was the chair of IEEE UK & Ireland Section for 2018-2019. He is the author/editor of more than 20 books and over 200 papers on various aspects of computing, software engineering, and autonomous systems.  He is an editor-in-chief of Innovations in Systems and Software Engineering: a NASA Journal (Springer) and Journal of the Brazilian Computer Society (Springer). 

Dr. Sabyasachi Sen received bachelor (B.Sc. (Honors in Physics)), Masters (Physics with Electronics specialization), Ph.D. (Sc) from the prestigious University of Calcutta and post-doctoral work with Dr. Swapan Chakrabarti, Dept. of Chemistry, University of Calcutta. My area of research interest is molecular nanoelectronics and spintronics having 30 published research papers in journal of international repute. Dr. Sabyasachi Sen received Sir Acharya Prafulla Chandra Roy Award, 2007-08 from University of Calcutta.Dean-Research and Development, JIS.

Dr. Papun Biswas received Ph.D. (Engg.) from University of Kalyani and Masters (Electrical Power) from University of Calcutta. His area of research interest is application of soft computing and multi-objective optimization in electrical engineering and various real-life problems.  He has published more than 35 research papers in various journal, book chapters. and international conferences. He has worked as an editor for two Springer conference proceedings books, Advancements of Medical Electronics (Lecture Notes in Bioengineering book series (LNBE)) in 2015 and Industry Interactive Innovations in Science, Engineering. and Technology.