1st Edition

Embedded Devices and Internet of Things Technologies, and Applications

    408 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.         
    • 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 undergraduate, 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


    Adesh Kumar is working as Senior Associate Professor with the Department of Electrical & Electronics, Engineering, School of Advanced Engineering, UPES, Dehradun, India. He is B.Tech in Electronics & Communication Engineering from Uttar Pradesh Technical University Lucknow, India in 2006. M.Tech (Hons) in Embedded Systems Technology, from SRM University, Chennai in 2008. Ph.D (Electronics Engineering) from the University of Petroleum and Energy Studies (UPES), Dehradun India in 2014. He has also worked as 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 in ICICCD-2016, ICICCD-2017, and editor in ICICCD 2018, 2022, and 2024. He has supervised 10 Ph. D scholars, and 5 candidates are doing Ph. D research under his guidance.

    Surajit Mondal is working as Assistant Professor-Senior Scale with the Department of Electrical & Electronics, Engineering, University of Petroleum and Energy Studies, Dehradun, India. He did his B. Tech in Electrical Engineering from Asansol Engineering College, West Bengal, M. Tech in Energy Systems, from UPES, Dehradun and Ph. D- 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, Carbon Footprint. He has published more than 35+ research papers in international peer-reviewed journals (SCI/Scopus) and conferences and published 85+ patents (25 granted) and published 3 books with eminent publishers. He also has handled many Govt. funded projects as a Lead/ Lead/ Principal Investigator. He has received the prestigious Young Scientist award from the DST, Govt. of India, New Delhi. 3 students are pursuing their Ph. D. research under his guidance.

    Gaurav Verma received B. Tech., M. Tech., and Ph.D. degrees in Electronics and Communication engineering in 2005, 2012, and 2018 respectively. He has done his B.Tech. from COER (U. P. Technical University), MTech. from IIT Kharagpur, and Ph.D. from Jaypee University, Noida. In addition to that, he has also acquired an MBA degree in marketing management from IMT, Ghaziabad in 2008. Since 2013, Dr. Gaurav Verma is working as an Assistant Professor (Senior Grade) and Head of Research Group (IOT, Embedded & 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 has served at different engineering colleges at different positions like DBIT, Dehradun (2007-2008), DIT Dehradun, (2008-2010) and VIT, Greater Noida (2012-2013). He has around 15 years of experience in training, teaching, research, and administration. He has multi-disciplinary ability in teaching and training in the latest technologies. His current research focuses on the development of IOT & Embedded based solutions for the benefit of society and power estimation of FPGA Implementations using Machine Learning. He is an active researcher with around 25 publications in reputed SCI & SCOPUS journals and around 40 publications in conferences of IEEE & Springer repute. He has also authored a book on Embedded System Design for students and published more than 5 book chapters in springer. He is a senior member of IEEE and served as a TPC member, session chair and keynote speaker in some of the reputed conferences in India and abroad. He is also serving as a member of Website and Portal Management Sub-Committee, IEEE UP Section (R-10), India, as an editor, advisor, and a reviewer of several well-known international journals published by IEEE, Taylor & Francis, Springer, and Elsevier. He has also awarded with the Best Doctoral Thesis award in RACE-2019 at Kasetsart University, Bangkok, Thailand.

    Prashant Mani is working as an Associate Professor and Principal in 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 degree in VLSI from the Faculty of Engineering and Technology, SRM University, Chennai, India. The focus of his research is related to Nano Scale SOI Devices. He has multi-discipline/cross disciplined ability in teaching, and he had been teaching both core nano electronics engineering subjects, for example Nano Scale Device, Micro-electronics, VLSI Devices & Design, VLSI Testing, Nano Technology, Digital Image Processing, Real Time and Embedded System. He is the Deputy Head of Research & Publication, SRM University Campus. He is also author of several Research articles indexed in SCOPUS/SCI Journals.