Smart Sensors for Industry 4.0
eBook - PDF

Smart Sensors for Industry 4.0

Fundamentals, Fabrication and IIoT Applications

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Smart Sensors for Industry 4.0

Fundamentals, Fabrication and IIoT Applications

About this book

Discover the essential guide to harnessing the power of cutting-edge smart sensors in Industry 4.0, offering deep insights into fundamentals, fabrication techniques, and real-world IIoT applications, equipping you with the knowledge to revolutionize your industrial processes and stay ahead in the digital era.

Over the last decade, technologies like the Internet of Things (IoT), big data, cloud computing, blockchain, artificial intelligence (AI), machine learning, device automation, smart sensors, etc., have become highly developed fundamental supports of Industry 4.0, replacing the conventional production systems with advanced methods, and thereby endorsing the smart industry vision. Industry 4.0 is more flexible and agile in dealing with several risk factors, further enabling improved productivity and efficiency, distribution, increased profitability, data integrity, and enhancing customer experience in the current commercial environment.

For understanding and analyzing the environment, sensors play a major role in performing the measurements based on computation-produced results from the surrounding environment. Sensors have a wide range of applications for smart industrial operations. The evolution of flexible, low-cost, and multipurpose sensors and their system integration has been examined to develop advanced devices with applications in numerous fields of technology. With the development of both the Internet of Things (IoT) and the Industrial IoT (IIoT), advanced sensors and their associated applications are developing, resulting in the necessity for IoT sensors to be used for several industrial applications.

Beneficial aspects of this book include:

  • The latest research in materials and methodology for the fabrication of intelligent sensors, its IoT system integration, and IIoT applications are brought together;
  • Promotes a vision towards making sensor-based monitoring and control of smart industry;
  • Recent advances and challenges of smart sensors are discussed with an emphasis on unmet challenges and future directions of a roadmap to Industry 4.0.

Audience

This book is highly recommended to a wide range of researchers and industry engineers working in the area of fabrication and integration of industrial smart sensors for IIoT applications, advanced materials for sensor technology, fabrication and characterization of IoT sensors, development of low-cost sensors, sensor system design and integration, and its industrial applications. Post-graduate students from different streams like computer science, electronics and electrical engineering, information technology, electronic communication, etc. will benefit from reading this book.

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Yes, you can access Smart Sensors for Industry 4.0 by Brojo Kishore Mishra,Sandipan Mallik,Dac-Nhuong Le in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Series Page
  3. Title Page
  4. Copyright Page
  5. Dedication Page
  6. Contents
  7. List of Figures
  8. List of Tables
  9. Foreword
  10. Preface
  11. Acknowledgments
  12. Acronyms
  13. Chapter 1 IoT-Based Health Monitoring Using a Hybrid Machine Learning Model
  14. 2 Addressing Overcrowding: A Plight for Smart Cities
  15. Chapter 3 Smart Sensors for Environmental Monitoring in Industry 4.0
  16. Chapter 4 A Novel Hybrid Smart Appliances Control Framework for Specially Challenged Persons
  17. Chapter 5 An IoT-based Framework for PUC Monitoring of 2- or 4-Wheeler Vehicle
  18. Chapter 6 Farm Shielding: A Shielding Experience That Takes a New Turn
  19. Chapter 7 Checkmate: An IoT Integrated Tangible Chessboard
  20. 8 Intelligent Systems and Robotics for Wastewater Management Across India: A Study and Analysis
  21. Chapter 9 Text-Based Prediction and Classification Model of Stress, Anxiety and Depression Among Indians
  22. Chapter 10 Industry 4.0: Security Challenges and Opportunities of the IIoT
  23. Chapter 11 Role of Machine Learning and Deep Learning in Smart Sensors
  24. Chapter 12 Drone-Based Traffic Flow Management for Smart Cities: Problems and Solutions
  25. Index
  26. Also of Interest
  27. EULA