Technological Applications for Smart Sensors: Intelligent Applications for Real-Time Strategies

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S. Kannadhasan R. Nagarajan

Technological Applications for Smart Sensors

Intelligent Applications for Real-Time Strategies

S. Kannadhasan, R. Nagarajan, Alagar Karthick , V. Kumar Chinnaiyan

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Hardback

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English

Apple Academic Press Inc.
15 September 2025

Electrical engineering; Circuits & components; Electronic devices & materials

This new volume presents a plethora of clever real-time applications of smart sensor technology with examples from diverse areas. The volume showcases novel applications of smart sensors, such as for automatic dual axis solar tracking systems, for wearable flexible electronic devices, for effective security systems in banking and finance, in healthcare for cancer detection and cardiac patient monitoring, for chemical safety in laboratories, for water quality monitoring systems, for agricultural irrigation control, for maintenance of industrial machines, for fire detection safety systems, to name a few of the many smart sensor innovations highlighted in this volume.

Edited by: S. Kannadhasan, R. Nagarajan, Alagar Karthick, V. Kumar Chinnaiyan
Imprint: Apple Academic Press Inc.
Country of Publication: Canada
Dimensions: Height: 234mm, Width: 156mm,
Weight: 453g
ISBN: 9781774919729
ISBN 10: 1774919729
Pages: 580
Publication Date: 15 September 2025
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Forthcoming

Introduction PART I: THEORETICAL REAL-TIME STRATEGIES 1. Development of Microstrip Patch Antenna for IoT Applications in Smart Cities 2. Use of Biometrics for Wireless Communication Validation 3. Implications of Biological Networks in Immunobiosensors 4. Forage Automation Based on IoT for Aquatic Species 5. Data Exchange to User Engagement: Exploring the Potential of IoT in Campus Multimedia Systems 6. Evaluating the Feasibility of Circular Economy Scenarios in Consumer Electronics for Textile Applications PART II: PRACTICAL REAL-TIME STRATEGIES 7. Design of Automated Dual Axis Solar Tracking System 8. Recent Advancements in Wearable Flexible Electronic Devices 9. Highly Effective Authentication Security to Avoid Fake ATM Cards 10. Utilizing Biomedical Sensing Devices for the Evaluation of Conductivity in Schottky Source/Drain GaN FinFET for Breast Cancer Cell (MDA-MB-231) Detection 11. Power-Efficient and Washable LED-Integrated Textiles: A Novel Approach in Wearable Technology 12. IoT Cloud Architecture for 3D Printers: Assessing the Impact of Printing Parameters on Energy Consumption 13. Wireless Sensor Networks in Cardiology: Leveraging Technology for Accurate and Prompt Patient Monitoring 14. Localization and Synchronization Techniques for Enhanced RFID and RF Sensing Applications 15. Experimentation and Testing of IoT-Based System for Enhancement of Chemical Laboratory Safety for Prevention of Accidents 16. A Novel Approach Utilizing Artificial Intelligence and Wireless Sensor System for Ensuring Safety Through Fire Detection PART III: APPLIED RESEARCH REAL-TIME STRATEGIES 17. IoT-Based Excellence Monitoring of Water Quality in Real Time 18. A Novel Method for Vehicle Detection Using Underground Economic IoT Sensors Based in Magnetic Field Variations 19. An Innovative Real-Time Medical Devices and Sensors Cardiac Monitoring Applications Using NI myRIO-19000 and IoT Cloud 20. Optimizing Moving Object Tracking in Sensor Networks: A Novel Approach with Slam and GES Sensor-Based Filter 21. Enhancing Vegetable Crop Cultivation: Integrating Wireless Sensor Networks and Smartphone Applications for Efficient Irrigation Control 22. An Efficient Network and IoT System Architecture for Temperature and Relative Humidity Monitoring 23. IoT Sensor Data-Driven Programming Approach for Predictive Maintenance of Wafer Stick Machines 24. IoT-Based Wireless Sensor Network and Communication Platform for Reliable, Adaptable, and Dependable Testing of Forest Fire Identification and Prevention System 25. Innovative IoT System and Machine Learning Approach for Predictive Maintenance Identification in Industrial Machines 26. IoT Based Evaluation Methods for Human-Computer Interaction and User Experience Testing in Smartphone-Vehicle Interconnect Products 27. A Novel Approach for Enabling Service Migrations for IoT Smart City Applications: Architecture for Service Management 28. A Novel System for Ensuring Security and Privacy of Remote Health Care Monitoring Using Internet of Things Devices in Smart Homes

S. Kannadhasan, PhD, MBA, 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 presented and published over 200 papers in national and international journals and conferences. He serves as 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, wireless sensor networks, digital image processing, satellite communication, cognitive radio design, and soft computing techniques. R. Nagarajan, PhD, is a Professor of Electrical and Electronics Engineering at Gnanamani College of Technology, 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. Alagar Karthick, PhD, is an Associate Professor in the Electrical and Electronics Engineering Department at the KPR Institute of Engineering and Technology, Tamil Nadu, India. He has published in international journals and is also a reviewer for various journals. He has received best paper awards for his research articles on biomass conversion. His research areas include solar photovoltaic, bioenergy, zero energy buildings, energy with artificial intelligence, machine learning, and deep learning algorithms. V. Kumar Chinnaiyan, PhD, is a Professor of Electrical and Electronics Engineering at Karpagam College of Engineering, Tamil Nadu, India. He has been affiliated with projects, internships, research, and consultancy assignments with leading industries such as Siemens and Hitachi Energy, among others. He has secured funding from government agencies for research projects and organization of faculty development programs and short-term training programs. His former positions include Head of the Electrical and Electronics Engineering Department at the NGP Institute of Technology and at the Jansons Institute of Technology, India. Dr. Chinnaiyan has published in over 75 indexed journals and holds two patents. He has received several awards for his work.