Embedded Devices and Internet of Things: Technologies, and Applications

✍ Scribed by Adesh Kumar; Surajit Mondal; Gaurav Kumar; Prashant Mani

• Publisher: CRC Press
• Year: 2024
• Tongue: English
• Edition: 1
• Category: Library

✦ Synopsis

The text comprehensively discusses machine-to-machine communication in real-time, low-power system design and estimation using field programmable gate arrays, PID, hardware, accelerators, and software integration for service applications. It further covers the recent advances in embedded computing and IoT for healthcare systems. The text explains the use of low-power devices such as microcontrollers in executing deep neural networks, and other machine learning techniques.

This book:

Discusses the embedded system software and hardware methodologies for system-on-chip and FPGA.
Illustrates low-power embedded applications, AI-based system design, PID control design, and CNN hardware design.
Highlights the integration of advanced 5G communication technologies with embedded systems.
Explains weather prediction modeling, embedded machine learning, and RTOS.
Highlights the significance of machine-learning techniques on the Internet of Things (IoT), real-time embedded system design, communication, and healthcare applications, and provides insights on IoT applications in education, fault attacks, security concerns, AI integration, banking, blockchain, intelligent tutoring systems, and smart technologies.
It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, and computer engineering.

✦ Table of Contents

Cover
Half Title
Title Page
Copyright Page
Table of Contents
About the Editors
List of Contributors
Chapter 1 Low-power embedded system design applications using FPGAs
1.1 Introduction
1.2 Literature review
1.3 Discussion
1.4 Constraints in embedded system design
1.5 Summary
References
Chapter 2 CNN-embedded hardware chip design and simulation
2.1 Introduction
2.2 Literature review
2.3 CNN design
2.4 Results and discussion
2.5 Summary
References
Chapter 3 Imperative role of embedded system in solar photovoltaic-based stand-alone applications
3.1 Introduction
3.2 Literature review
3.3 Stand-alone electrification
3.4 Pros and cons
3.5 Summary
References
Chapter 4 PID embedded control and DC motor behavior for FPGA-based simulation
4.1 Introduction
4.2 Related work
4.3 System design
4.4 Results and discussion
4.5 Summary
References
Chapter 5 Design of rectangular microstrip patch array antenna at sub-6 GHz
5.1 Introduction
5.2 Design
5.3 Results and discussion
5.4 Summary
Reference
Chapter 6 Weather prediction model for Telangana state using ANNs
6.1 Introduction
6.2 Problem statement
6.3 Objectives
6.4 Implementation
6.5 Model building
6.6 Cross-validation
6.7 Results
6.8 Conclusions
Reference
Chapter 7 RTOS and task–role-based access control algorithm using Internet of Things for health monitoring and live video streaming of remote patients
7.1 Introduction
7.2 Methodology
7.3 System architecture
7.4 SJF priority scheduled RTOS
7.5 Results and discussion
7.6 Conclusions
List of Abbreviations
References
Chapter 8 Role of IoT in communications
8.1 Introduction
8.2 M2M communication types
8.3 Smart cities and infrastructure
8.4 Industrial Internet of Things (IIoT)
8.5 IoT in consumer electronics
8.6 Future
8.7 Major developments in IoT
8.8 Summary
References
Chapter 9 Smart healthcare system using machine learning and IoT
9.1 Introduction
9.2 Data source
9.3 Data preprocessing
9.4 Methodology
9.5 Results of proposed model
9.6 Embedded system integration
9.7 Conclusion
9.8 Future enhancements
References
Chapter 10 IoT in agile management and banking sector
10.1 Introduction
10.2 Concept of agile management
10.3 Agile methods in general
10.4 Agile methodology tools
10.5 Agile management in banking sector practices
10.6 Usage of agile methods in banking sector
10.7 Agile banking in the real world
10.8 Benefits of agile methodology
10.9 Challenges of agile methodology
10.10 Summary
References
Chapter 11 IoT-powered training for employee potential through smart embedded tools and technologies
11.1 Introduction
11.2 Study aim
11.3 Methodology
11.4 Review of related literature
11.5 Methods of employee involvement and empowerment
11.6 Research results
11.7 Study recommendations
11.8 Conclusion and recommendations for further study
Acknowledgments
References
Chapter 12 IoT and blockchain technology as transformative technology
12.1 Blockchain technology
12.2 Key characteristics of blockchain
12.3 Opportunities for adoption of blockchain technology in finance sector
12.4 Blockchain applications in financial sector
12.5 Blockchain within the financial sector
12.6 Use cases of blockchain technology in finance
12.7 Ethical issues for blockchain
12.8 Development of blockchain in the financial sector
12.9 Influence of blockchain on the financial industry
12.10 Blockchain benefits and opportunities in global financial industry
12.11 Challenges and risks of blockchain in financial sector
12.12 Summary
References
Chapter 13 IoT in schools
13.1 Introduction
13.2 Definition of IoT
13.3 IoT in the education industry: Pioneering a new era
13.4 Key characteristics of IoT
13.5 IoT in education
13.6 Important roles of technology in education
13.7 Implementation of IoT in education sector
13.8 Advantages of IoT in education
13.9 Drawbacks of implementing IoT in education
13.10 Future prospects
13.11 Summary
Bibliography
Chapter 14 The efficiency of blending AI technology to enhance behavior intention and critical thinking in higher education
14.1 Introduction
14.2 Behavioral intention theory
14.3 Critical thinking in higher education
14.4 Method
14.5 Data analysis
14.6 Results
14.7 Discussions
14.8 Summary
References
Chapter 15 Embedded machine learning
15.1 Introduction
15.2 Foundations of embedded systems
15.3 Machine learning fundamentals
15.4 Integration of machine learning in embedded systems
15.5 Hardware for embedded machine learning
15.6 Software and programming models
15.7 Edge computing and IoT
15.8 Future trends in embedded machine learning
15.9 Emerging applications
15.10 Summary
Bibliography
Chapter 16 Applications of machine learning in side-channel and fault analysis
16.1 Introduction
16.2 Types of attacks
16.3 Classification of attacks
16.4 Side-channel attacks
16.5 Fault analysis
16.6 Understanding machine learning
16.7 Related work
16.8 Features of machine learning approaches
16.9 Summary
References
Chapter 17 Embedding learning models with pedagogy recommendation in adaptive intelligent tutoring system
17.1 Introduction
17.2 Methods
17.3 Classification of learning style models
17.4 Comparative study
17.5 Felder model of learning style
17.6 Recommendations
17.7 Summary
References
Chapter 18 Security issues and challenges for IIoT in Industry 4.0 paradigm
18.1 Introduction
18.2 Industry 4.0
18.3 Security issues in smart systems
18.4 Framework for IIoT system
18.5 Security issues in Industry 4.0
18.6 Summary
References
Index