1st Edition

Embedded Devices and Internet of Things Technologies, and Applications

    360 Pages 127 B/W Illustrations
    by CRC Press

    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.

    Chapter 1. Low Power Embedded System Design Applications using FPGAs

    Prateek Agarwal, Tanuj Kumar Garg, Adesh Kumar

    Chapter 2. CNN Embedded Hardware Chip Design and Simulation

    Mukul Kumar, Monika Gupta, Adesh Kumar

    Chapter 3. Imperative Role of Embedded System in Solar Photovoltaic based Stand-alone Applications

    Rupendra Kumar Pachauri, Jai Govind Singh, Priyanka Sharma, Shashikant                  

    Chapter 4. PID Embedded Control and DC Motor Behaviour for FPGA-Based Simulation

    Pankaj Singh Panwar, Monika Gupta, Adesh Kumar

    Chapter 5. Design of Rectangular Microstrip Patch Array Antenna at Sub 6 GHz

    Shiddanagouda F B, N Dinesh Kumar, M Sujeeth Reddy, T Anirudh, V Lokesh

    Chapter 6. Weather Prediction Model for Telangana State Using ANN

    N Dinesh Kumar, B. Vinay Kumar, M. Rohith Reddy

    Chapter 7. RTOS and Task-Role Based Access Control Algorithm Using Internet of Things for Health Monitoring and Live Video Streaming of Remote Patients

    M. Lenin Kumar, V. Malathy, M Anand

    Chapter 8. Role of IoT in Communications

    Shweta Gupta, Akula Praveen Kumar, Bukka Sanjay

    Chapter 9. Smart Healthcare System using Machine Learning and IoT: Vaccine Delivery and Monitoring 

    Raj Gusain, Sushant Shekhar, Anurag Vidyarthi, Rishi Prakash, R. Gowri

    Chapter 10. IoT in Agile Management and Banking Sector

    Worakamol Wisetsri, Vijai, Deval Verma

    Chapter 11. IoT-Powered Training for Employee Potential through Smart Embedded Tools and Technologies

    Bishnu Paramguru Mahapatra, K. Thomas Alwa Ediso, L. Kavitha Nair, Alagesan. M, Prasanth P.S, Rasabihari Mishra, Pritish Bhanja

    Chapter 12. IoT and Blockchain Technology as Transformative Technology

    Vijai, Worakamol Wisetsri , Deval Verma

    Chapter 13. IoT in Schools: Revolutionizing Education through Smart Technology

    Priyanka Kaushik

    Chapter 14. The efficiency of Blending AI Technology to Enhance Behavior Intention and Critical Thinking in Higher Education

    Ahmad Al Yakin, Muthmainnah Muthmainnah, Ahmed J. Obaid, Eka Apriani, Souvic Ganguli Abdul Latief

    Chapter 15. Embedded Machine Learning

    Shweta Gupta, Abhigna Ragala

    Chapter 16. Applications of Machine Learning inside Channel and Fault Analysis

    Naga Durga Saile. K,, Rohit Tanwar

    Chapter 17. Embedding Learning Models with Pedagogy Recommendation in Adaptive Intelligent Tutoring System

    Amit Kumar, Devesh Pratap Singh, Ninni Singh, Neeraj Kumar Pandey

    Chapter 18. Security Issues and Challenges for IIoT in Industry 4.0 Paradigm

    Neeraj Kumar Pandey, Amit Kumar Mishra, Neha Tripathi, Piyush Bagla, Umang Garg, Amit Kumar

    Biography

    Adesh Kumar is a Professor with the Department of Electrical & Electronics, Engineering, School of Advanced Engineering, UPES, Dehradun, India. He earned a BTech in electronics and communication engineering from Uttar Pradesh Technical University Lucknow, India, in 2006; an MTech (Hons) in embedded systems technology, from SRM University, Chennai, in 2008; and a PhD in electronics engineering from the University of Petroleum and Energy Studies (UPES), Dehradun, India, in 2014. He has also worked as a senior engineer in TATA ELXSI Limited Bangalore and a faculty member at ICFAI University, Dehradun, India. His areas of interest are VLSI design, embedded systems design, signal processing, and digital image analysis. He has published more than 100 research papers in international peer-reviewed journals (SCI/Scopus) and conferences (h-index-20, i-10 index-40, citations > 2000). He has contributed as conference secretary to ICICCD-2016 and ICICCD-2017, and editor in ICICCD 2018, 2022, and 2024. He has supervised ten PhD scholars, and five candidates are doing PhD research under his guidance.

    Surajit Mondal is an Assistant Professor– Selection Grade with the Department of Electrical & Electronics, Engineering, University of Petroleum and Energy Studies, Dehradun, India. He did his BTech in electrical engineering from Asansol Engineering College, West Bengal, India; MTech in energy systems from UPES, Dehradun, India; and PhD in electrical engineering from the University of Petroleum and Energy Studies (UPES), Dehradun, India, in 2020. His areas of interest are wireless power transformation, renewable energy, waste to energy, alternate energy, ESG, and carbon footprint. He has published more than 35 research papers in international peer-reviewed journals (SCI/Scopus) and conferences, published more than 85 patents (25 granted), and published three books with eminent publishers. He has also handled many government- funded projects as a lead or principal investigator. He received the prestigious Young Scientist award from the DST, Government of India, New Delhi. Three students are pursuing their PhD research under his guidance.

    Gaurav Verma earned BTech, MTech, and PhD degrees in electronics and communication engineering in 2005, 2012, and 2018, respectively. He earned his BTech from COER (UP Technical University, Lucknow, India), MTech from IIT Kharagpur, West Bengal, India, and PhD from Jaypee University, Noida, India. In addition, he earned an MBA degree in marketing management from IMT, Ghaziabad, India, in 2008. Since 2013, Verma has been an Associate Professor (senior grade) and head of research group (IoT, embedded, and AI) in the Department of Electronics & Communication Engineering, Jaypee Institute of Information Technology, Sector-62 campus, Noida (UP), India. He started his career as a trainer in VLSI, embedded domain at CIPL, Noida, in 2005, and was promoted to the position of assistant manager. From 2007 to 2013, he served at different engineering colleges in different positions such as DBIT, Dehradun (2007–2008), DIT Dehradun (2008–2010), and VIT, Greater Noida (2012–2013). He has about 15 years of experience in training, teaching, research, and administration. He has multidisciplinary abilities in teaching and training in the latest technologies. His current research focuses on the development of IoT and embedded-based solutions for the benefit of society and power estimation of FPGA implementations using machine learning. He is an active researcher with about 25 publications in reputed SCI and SCOPUS journals and about 40 publications in conferences of IEEE and Springer repute. He has also authored a book on embedded system design for students and published more than five book chapters for Springer. He is a senior member of IEEE and served as a TPC member, session chair, and keynote speaker at reputed conferences in India and abroad. He also serves as a member of the Website and Portal Management Sub-Committee, IEEE UP Section (R-10), India; and as an editor, advisor, and reviewer of several well-known international journals published by IEEE, Taylor & Francis, Springer, and Elsevier. He was also awarded the Best Doctoral Thesis award in RACE-2019 at Kasetsart University, Bangkok, Thailand.

    Prashant Mani is an Associate Professor and Principal at the Government Engineering College Aurangabad Bihar, India. He has worked for 14 years in the Department of Electronics & Communication Engineering, SRM University, NCR campus. He holds a PhD in VLSI from the Faculty of Engineering and Technology, SRM University, Chennai, India. The focus of his research is related to nanoscale SOI devices. He has multidiscipline/ cross-disciplined ability in teaching, and he has been teaching both core nanoelectronics engineering subjects, such as, nanoscale devices, microelectronics, VLSI devices and design, VLSI testing, nanotechnology, digital image processing, and real-time and embedded systems. He is the deputy head of Research & Publication, SRM University Campus. He is also the author of several research articles indexed in SCOPUS/SCI journals.