1st Edition
Embedded Devices and Internet of Things Technologies, and Applications
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
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.
