Innovative Data Communication Technologies and Application

This book presents the latest research in the fields of computational intelligence, ubiquitous computing models, communication intelligence, communication security, machine learning, informatics, mobile computing, cloud computing, and big data analytics. The best selected papers, presented at the International Conference on Innovative Data Communication Technologies and Application (ICIDCA 2021), are included in the book. The book focuses on the theory, design, analysis, implementation, and application of distributed systems and networks.

Auteur

Dr. Jennifer S Raj received the Ph.D. degree from Anna University and master's degree in communication System from SRM University, India. Currently, she is working in the Department of ECE, Gnanamani College of Technology, Namakkal, India. She is a life member of ISTE, India. She has been serving as an organizing chair and a program chair of several international conferences and in the program committees of several international conferences. She is the book reviewer for Tata McGraw Hill publication and published more than fifty research articles in the journals and IEEE conferences. Her interests are in wireless healthcare informatics and body area sensor networks.

Dr. Khaled Kamel A is currently a professor of Computer Science at TSU. He worked as a full-time faculty and administrator for 22 years at the University of Louisville Engineering School. He was a professor and the chair of the Computer Engineering and Computer Science Department from August 1987 to January 2001. He also was the founding dean of the College of IT at the United Arab Emirates University and the College of CS & IT at the Abu Dhabi University. Dr. Kamel received a B.S. in electrical engineering from Cairo University, a B.S. in mathematics from Ain Shams University, an M.S. in CS from Waterloo University, and a Ph.D. in ECE from the University of Cincinnati. Dr. Kamel worked as a principle investigator on several government and industry grants. He also supervised over 100 graduate research master and doctoral students in the past 25 years. His current research interest is more interdisciplinary in nature but focuses on the use of IT in industry and systems. Dr. Kamel's area of expertise is computer control, sensory fusion, and distributed computing.

Ing. Pavel Lafata obtained his M. Sc. from the Faculty of Electrical Engineering of the CTU in Prague in 2007 and his Ph.D. from the Faculty of Electrical Engineering of the CTU in Prague in 2011. Since 2011, he is an assistant professor at the Department of Telecommunication Engineering, CTU in Prague. Since 2011, he has been a supervisor of more than 20 bachelor and diploma thesis and student projects; since 2014, he has been a supervisor of 3 Ph.D. students. Since 2011, he has been a teacher and lecturer of various courses, especially in the field of telecommunication networks and systems, optical systems, digital systems, fixed access networks, etc. He is an author or co-author of numerous scientific papers published in reviewed international journals or conferences, he is also a member of several scientific committees of international conferences and editorial boards of international journals, and he also acts as a fellow reviewer for numerous impact journals. He recently published a book Programmable Logic Controllers: Industrial Control with McGrew Hill professional in August 2013.

Contenu
Chapter 1. Mobile Application for Tour Planning using Augmented Reality.- Chapter 2. Wrapper-Naive Bayes approach to Perform Efficient Customer Behavior Prediction.- Chapter 3. ECG Acquisition Analysis on Smartphone through Bluetooth and Wireless Communication.- Chapter 4. Enhanced Security of user Authentication on Doctor E-Appointment System.- Chapter 5. Enhanced Shadow Removal for Surveillance Systems.- Chapter 6. Vehicle Speed Estimation and Tracking using Deep Learning and Computer Vision.- Chapter 7. Transparent Blockchain-based Electronic Voting System: A Smart Voting Using Ethereum.- Chapter 8. Usuage of Machine Learning Algorithms to Detect Intrusion.- Chapter 9. Speech Emotion Analyzer.- Chapter 10. A Review of Security Concerns in Smart Grid.- Chapter 11. An Efficient E-mail Spam Detection utilizing Machine Learning Approaches.- Chapter 12. Malware Prediction Analysis using AI Techniques with the effective Preprocessing and Dimensionality Reduction.- Chapter 13. Statistical Test to Analyze Gene Micro array.- Chapter 14. An Analysis on Classification models to Predict Possibility for type 2 Diabetes of a Patient .- Chapter 15. Preserve Privacy on Streaming data during the process of Mining using user defined Delta value.