Internet of Things in Modern Computing : Theory and Applications / edited by Vinay Chowdary [and three others].

Format:

Book

Contributor:

Chowdary, Vinay, editor.

Series:

Smart Technologies for Engineers and Scientists Series

Language:

English

Subjects (All):

Internet of things.

Physical Description:

1 online resource (260 pages)

Edition:

First edition.

Place of Publication:

Boca Raton, FL : CRC Press, [2024]

Summary:

"The text focuses on the theory, design, and implementation of the Internet of Things in a modern communication system. It will be useful to senior undergraduate, graduate students, and researchers in diverse fields domains including electrical engineering, electronics and communications engineering, computer engineering, and information technology"-- Provided by publisher.

Contents:

Cover

Half Title

Series Page

Title Page

Copyright Page

Table of Contents

Preface

Acknowledgments

Editors

Contributors

Chapter 1: IoT architecture and design

1.1 Introduction

1.1.1 Challenges: IoT architecture drivers

1.1.2 Classical IoT architecture models

1.1.2.1 oneM2M architecture

1.1.2.2 IoT world forum reference model

1.1.3 Emerging IoT architecture models

1.1.4 Conclusion

References

Chapter 2: Application of Artificial Intelligence (AI) and the Internet of Things (IoT) in process industries toward Industry 4.0

2.1 Introduction

2.1.1 1st industrial revolution

2.1.2 2nd industrial revolution

2.1.3 3rd industrial revolution

2.1.4 4th industrial revolution

2.2 Industry 4.0

2.2.1 Need for Industry 4.0

2.2.2 The Significance of Industry 4.0

2.2.3 Technologies of Industry 4.0

2.2.4 Nine components that are bringing about the transformation to Industry 4.0

2.2.4.1 Cloud computing

2.2.4.2 Big data

2.2.4.3 The Internet of Things

2.2.4.4 Augmented reality

2.2.4.5 System integration: horizontal and vertical system integration

2.2.4.6 Cybersecurity

2.2.4.7 Simulation

2.2.4.8 Autonomous robot

2.2.4.9 Additive manufacturing

2.2.5 Issues and challenges faced by Industry 4.0

2.3 Artificial intelligence

2.3.1 Artificial Intelligence: a brief history

2.3.2 Approach of Artificial Intelligence in Industry 4.0

2.3.3 Key elements in Industrial AI

2.3.4 Industrial AI ecosystem

2.3.5 Limitations of industrial Artificial Intelligence

2.4 Examples

2.4.1 Automotive

2.4.1.1 Description

2.4.2 Food and beverage

2.4.2.1 Description

2.4.3 Medical equipment

2.4.3.1 Description

2.5 Conclusion

Acknowledgements

References.

Chapter 3: A review on edge computing: Working, comparisons, benefits, vision, instances and illustrations along with challenges

3.1 Introduction

3.2 Literature review

3.3 The working of edge computing

3.4 Comparison-edge computing, cloud computing and fog computing

3.5 The benefits of edge computing

3.6 Instances and illustrations of edge computing

3.7 Edge maintenance

3.8 Opportunities for 5G, IoT with edge computing

3.9 Challenges of edge computing

3.10 Conclusion

Chapter 4: Industrial Internet of Things: IoT and Industry 4.0

4.1 Introduction

4.2 Streamlined work

4.3 Internet of Things

4.4 The Industrial Internet of Things

4.5 Industry 4.0

4.6 Key technologies for the Industrial Internet of Things

4.6.1 Blockchain technology

4.6.2 Cloud computing

4.6.3 Artificial intelligence and cyber physical systems

4.7 Intelligent manufacturing in the context of Industry 4.0

4.8 Open research issues

4.9 Application domains

4.9.1 Healthcare

4.9.2 Smart cities

4.9.3 Smart environments

4.9.4 Industry

4.10 Challenges

4.11 Conclusion

Chapter 5: Denial of Service Attacks in the Internet of Things

5.1 Introduction

5.2 IoT architecture

5.3 Categorization of security issues

5.4 Security issues of the lower layers

5.5 Security issues of the intermediate levels

5.6 Security issues of the higher levels

5.7 Mitigation strategies at various levels of IoT devices

5.8 Distributed Denial of Service (DDoS) attack

5.9 DDoS attack mitigation strategies

5.10 Research gap

5.11 Fuzzy-Neural Network-based cross-layer DoS attack detection framework

5.12 Conclusion

5.13 Future work

Chapter 6: Extending the Unified Theory of Acceptance and use of technology model to understand the trainees' acceptance and usage of Internet of Things (IoT) by skill development course

6.1 Introduction

6.2 Theoretical background and hypothesis

6.3 Performance expectancy

6.4 Effort expectancy

6.5 Social influence

6.6 Computer self-efficacy

6.7 Relative advantage

6.8 Facilitating conditions

6.9 Behavior intention and actual usage

6.10 Research methodology

6.11 Measurement

6.12 Data analysis and research findings

6.12.1 Descriptive analysis

6.12.2 Measurement model

6.12.3 Structural model

6.13 Discussion and conclusion

Chapter 7: Intelligent approaches for disease detection and prevention

7.1 Introduction

7.2 Artificial intelligence, Internet of Things, and blockchain technology

7.2.1 Artificial intelligence

7.2.2 Machine learning

7.2.3 Internet of Things

7.2.4 Blockchain technology

7.3 Detection, prevention and treatment of disease

7.3.1 Diabetes mellitus

7.3.2 Cardiovascular Disease (CVD)

7.3.3 Chronic Kidney Disease (CKD)

7.3.4 Coronavirus disease (COVID-19)

7.4 Conclusion

Chapter 8: Interoperability in IoT-driven smart buildings: Employing Rule-based decision support systems

8.1 Introduction: background and driving forces

8.2 The necessity of decision support inbuilding energy subsystems

8.3 Decision support model for BEMS

8.4 Opportunities and challenges for BEMS interoperability

8.5 Conclusion and future scope

Chapter 9: IoT-based parking system using Web-App

9.1 Introduction

9.2 Material and methods

9.3 Result and discussion

9.4 Conclusion

Chapter 10: A next-gen IoT-based semi-automatic mobile manipulator

10.1 Introduction

10.1.1 Classification of mobile robots.

10.1.2 Mobile base robotic manipulator

10.1.3 IoT-based robotic manipulator

10.2 Design of the proposed semi-automatic robot manipulator

10.3 Proposed model

10.3.1 Denavit-Hartenberg parameters

10.3.2 Frame Assignment for D-H Parameter Calculation

10.4 Robot control

10.4.1 Joint space control

10.4.2 Task space control

10.4.3 Robotic arm simulation using MATLAB GUI

10.5 Hardware Implementation

10.6 Conclusion and future scope

Chapter 11: Pest identification and classification using IoT enable technique

11.1 Introduction

11.2 Literature survey

11.2.1 Related works

11.2.2 Problem statement

11.3 A novel deep learning framework for IoT-enabled pest identification and classification

11.3.1 Proposed architecture and description

11.3.2 IoT-enabled pest detection and smart agriculture

11.4 Conclusion

Chapter 12: Framework for leveraging diagnostic and vehicle data with emphasis on automotive cybersecurity

12.1 Introduction

12.2 Framework

12.3 Applications and features of the framework

12.4 Conclusion

Chapter 13: An array of Fibonacci series-based wide-band printed antennas for IoT/5G applications

13.1 Introduction

13.2 Proposed single antenna

13.2.1 Formation of the proposed geometry

13.2.2 Depiction of single antenna

13.2.3 Contour length and surface area computation

13.2.4 Time domain analysis

13.3 Proposed array

13.3.1 Construction of power divider network

13.3.2 Development of array

13.3.3 Benefits of the Wilkinson power divider

13.4 Results and discussion

13.5 Conclusion

Acknowledgement

Chapter 14: Deep learning IoT platform for dental disease detection

14.1 Introduction

14.2 Literature survey

14.3 Suggested design

14.3.1 YOLO object detection interpretation.

14.4 Overall network structure

14.5 Results and discussion

14.5.1 Performance measure

14.5.2 IoU (Intersection Over Union)

14.5.3 Precision and recall curve

14.5.3.1 Analysis of bounding boxes using histogram

14.5.3.2 Analysis of bounding boxes using different type pf graphs

14.5.3.3 Metrics analysis

14.6 Conclusion

Index.

Notes:

Includes bibliographical references and index.

Description based on print version record.

ISBN:

9781003407300

1003407307

9781000904765

1000904768

9781000904734

1000904733

OCLC:

1381097400