About the Book
Recent sensor technologies have spurred innovation across many industries and have been employed worldwide to improve transportation, medical treatment, nanotechnology, mobile devices, virtual and augmented reality, and artificial intelligence. This new volume looks at different aspects and kinds of sensors, such as wearable radio frequency devices, machine learning algorithms for sensors, intelligent monitoring systems using RFID technologies, UV-based control systems, Booth algorithm-based sensors for improved multipliers, sensor data analysis using Arduino, piezoelectric sensor signaling, and more.
Myriad examples of novel applications of sensor technology are presented in different areas, such as
In disaster management, such as for accident detection and rescue systems
For development of smart healthcare technology, such as for early prediction of breast cancer, monitoring and gauging of polluted air to alert for asthma triggers
In transportation, such as in the development of smart helmets for protective driving, for vehicle-to-vehicle communication for accident prevention, for enabling vehicles to sense rough terrain
In urban engineering/smart city management, such as for locating underground cable faults, for sewage surveillance for blockages and hazardous gases and chemical contaminants
In agriculture, such as using sensors for agricultural pest control, using IoT for automated drip irrigation
For residential and office use, such as for energy management systems, for monitoring ergonomic behaviors
Other chapters present sensor technology for audio- and voice-impaired individuals, for smart shopping using smart trolley, and more.
Offering a plethora of examples of how sensor imaging can be applied for real-time solutions, this volume will provide inspiration for industry professionals and faculty and students in electronics and communication engineering interested in finding solutions to today’s problems using sensor technology.
Table of Contents:
1. Embodying Connectivity: Wearable Radio Frequency Devices for Embedded Applications 2. Fabrication of a Three-Wheeled Segway 3. Application of Legendre Neural Network as an Effective Numerical Solution for a Second Order Robot Arm Control Problem 4. Comparative Study on Machine Learning Algorithms in Early Prediction of Breast Cancer in Mammogram Image Datasets 5. Design of an Enhanced Multiplier Using Booth Algorithm 6. UV-Based Bio-Pest Controlling System to Aid Agriculture 7. Advanced Monitoring and Healthcare for Asthma 8. An Intelligent Monitoring System Using RFID Technology 9. Cloud-Based Monitoring and Controlling of Three-Phase Induction Motor 10. Smart Helmet for Protective Driving 11. Vehicle-to-Vehicle Communication Using Li-Fi Technology 12. Smart Hand-Glove-Based E-Vocalizer for Audio- and Voice-Impaired Individuals 13. IoT-Based Demand Side Energy Management 14. Rough Terrain Vehicle Using a Rocker Bogie Mechanism 15. IoT-Based Smart Chair to Recognize the Sitting Position of Employees 16. Automated Drip Irrigation Using IoT 17. Sewage Surveillance and Support System 18. Smart Monitoring and Controlling the Speed of DC Shunt Motor 19. Smart Shopping Using Smart Trolley 20. True Accident Detection and Rescue System 21. Underground Cable Fault Distance Locator
About the Author :
S. Kannadhasan, PhD, is an Associate Professor and Head of the Department of Electronics and Communication Engineering at Study World College of Engineering, Tamil Nadu, India. He has published and presented over 200 papers in journals and conferences. He has been a board member, reviewer, speaker, session chair, and member of the advisory and technical committees of various colleges and conferences. His areas of interest are smart antennas, digital signal processing, wireless communication, wireless networks, embedded systems, network security, optical communication, microwave antennas, electromagnetic compatibility and interference, etc.
R. Nagarajan, PhD, is a Professor of Electrical and Electronics Engineering at Gnanamani College of Technology, Namakkal, Tamil Nadu, India. He has worked in industry as an electrical engineer. He has published more than 70 papers in international journals and conferences. His research interests include power electronics, power systems, communication engineering, network security, soft computing techniques, cloud computing, big data analysis, and renewable energy sources.
T. Kamalakannan, PhD, is a Professor and Head of the Department of Information Technology in the School of Computing Sciences at the Vels Institute of Science Technology & Advanced Studies (VISTAS), Tamil Nadu, India. He has 23 years of teaching experience at both the under- and postgraduate levels. His research interests include data mining and machine learning. He has published more than 35 research articles in Scopus-indexed and UGC-indexed journals. He serves as an examiner at various universities and colleges. He received a Best Teacher Award in 2019 from Ilakkiya Cholai.
M. Chandrasekaran, PhD, is a Professor and Director of the Department of Mechanical Engineering at the Vels Institute of Science, Technology & Advanced Studies, Tamil Nadu, India. He has over 20 years of experience in various roles. He has published many papers that appear in international and local scientific journals. He has served as a keynote speaker, program committee chair, technical committee member, and session chair at various international conferences and is also an editor-in-chief for several international journals.
N. Shanmugasundaram, PhD, is a Professor and Head of the Department of Electrical and Electronics Engineering at the Institute of Science, Technology & Advanced Studies, Tamil Nadu, India. He has more than 20 years of experience in teaching and eight years of industry experience. He has published more than 55 research papers in different domains. His field of interest includes electrical machines and control, electric vehicle control and charging, power converters, and power cable modeling.
