Innovative Data Communication Technologies and Application

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. StatisticalTest 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.

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