Sensor Imaging Systems for Real-Time Applications
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AbeBooks Seller since April 7, 2005
Condition: New
Quantity: Over 20 available
Add to basketNew Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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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
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.
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.
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