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Technological Applications for Smart Sensors: Intelligent Applications for Real-Time Strategies [Kõva köide]

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  • Formaat: Hardback, 580 pages, kõrgus x laius: 234x156 mm, kaal: 453 g, 54 Tables, black and white; 12 Line drawings, color; 130 Line drawings, black and white; 6 Halftones, color; 50 Halftones, black and white; 18 Illustrations, color; 180 Illustrations, black and white
  • Ilmumisaeg: 15-Sep-2025
  • Kirjastus: Apple Academic Press Inc.
  • ISBN-10: 1774919729
  • ISBN-13: 9781774919729
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  • Formaat: Hardback, 580 pages, kõrgus x laius: 234x156 mm, kaal: 453 g, 54 Tables, black and white; 12 Line drawings, color; 130 Line drawings, black and white; 6 Halftones, color; 50 Halftones, black and white; 18 Illustrations, color; 180 Illustrations, black and white
  • Ilmumisaeg: 15-Sep-2025
  • Kirjastus: Apple Academic Press Inc.
  • ISBN-10: 1774919729
  • ISBN-13: 9781774919729
Teised raamatud teemal:
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.

Presents a plethora of real-time applications of smart sensor technology with examples from diverse areas. Showcases a diverse selection of novel real-time applications of smart sensors, such as in wireless communication, for an automatic dual axis solar tracking systems, for wearable flexible electronic devices, and more.

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 Immuno-Biosensors

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 the Consumer
Electronics for Textile Application

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 on Magnetic Field Variations

19. An Innovative Real-Time Medical Devices and Sensors Cardiac Monitoring
Applications Using NI myRIO-1900 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.