Embedded Devices and Internet of Things : Technologies, and Applications

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. 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 The text 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 also covers the recent advances in embedded computing and IoT for healthcare systems.