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Full Description
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.
Contents
1. Low Power Embedded System Design Applications using FPGAs. 2. CNN Embedded Hardware Chip Design and Simulation. 3. Imperative Role of Embedded System in Solar Photovoltaic based Stand-alone Applications. 4. PID Embedded Control and DC Motor Behaviour for FPGA-Based Simulation. 5. Design of Rectangular Microstrip Patch Array Antenna at Sub 6 GHz. 6. Weather Prediction Model for Telangana State Using ANN. 7. RTOS and Task-Role Based Access Control Algorithm Using Internet of Things for Health Monitoring and Live Video Streaming of Remote Patients. 8. Role of IoT in Communications. 9. Smart Healthcare System using Machine Learning and IoT: Vaccine Delivery and Monitoring. 10. IoT in Agile Management and Banking Sector. 11. IoT-Powered Training for Employee Potential through Smart Embedded Tools and Technologies. 12. IoT and Blockchain Technology as Transformative Technology. 13. IoT in Schools: Revolutionizing Education through Smart Technology. 14. The efficiency of Blending AI Technology to Enhance Behavior Intention and Critical Thinking in Higher Education. 15. Embedded Machine Learning. 16. Applications of Machine Learning inside Channel and Fault Analysis. 17. Embedding Learning Models with Pedagogy Recommendation in Adaptive Intelligent Tutoring System. 18. Security Issues and Challenges for IIoT in Industry 4.0 Paradigm
