Smart Embedded Systems: Advances and Applications

"Smart Embedded Systems: Advances and Applications" is a comprehensive guide that demystifies the complex world of embedded technology. The book journeys through a wide range of topics from healthcare to energy management, autonomous robotics, and wireless communication, showcasing the transformative potential of intelligent embedded systems in these fields. This concise volume introduces readers to innovative techniques and their practical applications, offers a comparative analysis of wireless protocols, and provides efficient resource allocation strategies in IoT-based ecosystems. With real-world examples and in-depth case studies, it serves as an invaluable resource for students and professionals seeking to harness the power of embedded technology to shape our digital future. Salient Features: The book provides a comprehensive coverage of various aspects of smart embedded systems, exploring their design, implementation, optimization, and a range of applications. This is further enhanced by in-depth discussions on hardware and software optimizations aimed at improving overall system performance. A detailed examination of machine learning techniques specifically tailored for data analysis and prediction within embedded systems. This complements the exploration of cutting-edge research on the use of AI to enhance wireless communications. Real-world applications of these technologies are extensively discussed, with a focus on areas such as seizure detection, noise reduction, health monitoring, diabetic care, autonomous vehicles, and communication systems. This includes a deep-dive into different wireless protocols utilized for data transfer in IoT systems. This book highlights key IoT technologies and their myriad applications, extending from environmental data collection to health monitoring. This is underscored by case studies on the integration of AI and IoT in healthcare, spanning topics from anomaly detection to informed clinical decision-making. Also featured is a detailed evaluation and comparison of different system implementations and methodologies This book is an essential read for anyone interested in the field of embedded systems. Whether you're a student looking to broaden your knowledge base, researchers looking in-depth insights, or professionals planning to use this cutting-edge technology in real-world applications, this book offers a thorough grounding in the subject.

Table of Contents:
Chapter 1 A reconfigurable FPGA based epileptic seizures detection system with 144 µs detection time Swetha Annangi and Arun Kumar Sinha Chapter 2 Hardware architecture for denoising of EOG signal using differential evolution algorithm V. H. Prasad Reddy, Gundugonti Kishore Kumar and Puli Kishore Kumar Chapter 3 Implementation considerations for an intelligent embedded e-Health system and experimental results for EEG-based activity recognition Stefan Oniga, Iuliu Alexandru Pap and Tamas Majoros Chapter 4 Embedded and computational intelligence for diabetic healthcare: An overview Anupama Namburu Aravapalli Rama Satish Bhanu Teja Veeramachaneni, Sneha Edupuganti Kothamasu Venkata Naga Durga Sai Harshith Chapter 5 A semi-definite programming based design of a robust depth control for a submersible autonomous robot through state feedback control Vadapalli Siddhartha and Subhasish Mahapatra Chapter 6 Embedded system with in-memory compute neuromorphic accelerator for multiple applications Afroz Fatima and Abhijit Pethe Chapter 7 Artificial intelligence driven radio channel capacity in 5G, 6G wireless communication system in the presence of vegetation: Prospect and challenges Sachin Kumar, T. Senthil Siva Subramanian and Kapil Sharma Chapter 8 Smart cabin for office using embedded systems and sensors Anirban Dasgupta, Abhranil Das, parishmita Deka and Soham Das Chapter 9 Wireless protocols for swarm of sensors: Sigfox, Lorawan, and Nb-IoT Luiz Alberto Pasini Melek Chapter 10 Design and test of thermal energy harvester for self-powered autonomous electronic load Arun Kumar Sinha Chapter 11 Managing concept drift in IoT health data streams: A dynamic adaptive weighted ensemble approach M. Geetha Pratyusha and Arun Kumar Sinha Chapter 12 GraLSTM: A distributed learning model for efficient IoT resource allocation in healthcare M. Geetha Pratyusha and Arun Kumar Sinha

About the Author :
Dr Arun Kumar Sinha received his PhD in electronic engineering from the University of Genova, Genova, Italy, in 2013. He has 10 years’ experience in industry and teaching at Agilent Technologies (Gurugram, India), Netaji Subhas Institute of Technology (New Delhi, India), Jaypee Institute of Information Technology (Noida, India), and Mekelle University (Mekelle, Ethiopia), and post-doctoral research experience at Federal University of Santa Catarina (Florianopolis, Brazil). Currently, he is working as an associate professor at VIT-AP University, Andhra Pradesh, India. Among the subjects he has taught are digital logic and microprocessors (undergraduate students, UG), fundamentals of electrical and electronics engineering (UG), principles of electrical engineering (UG), VLSI system design (UG), analog VLSI design (UG), analog IC design (postgraduate students, PG), and analog devices and circuits (UG), process dynamics and multivariable control (PG), real-time control and embedded systems (PG), electrical machines and instruments (UG), basic electronics device and circuits (UG), electronic instruments and measurement (UG), principles of electrical engineering (UG), biomedical instrumentation (UG), and electrical measurements (UG). He is the author of 35 papers in international journals/conferences, one conference proceedings as editor, and three patents. He is a member of the Hyderabad section of the IEEE, India. His research interests include intelligent algorithms, integrated circuit design, digital and analog VLSI, semiconductor devices, and mathematical modeling. Dr Abhishek Sharma received his BE in electronics engineering from Jiwaji University, Gwalior, India, and a PhD in engineering from the University of Genoa, Italy. He is presently working as an assistant professor in the Department of Electronics and Communication Engineering at The LNM Institute of Information and Technology, Jaipur, RJ, India, where he also coordinates the ARM University partner program, Texas Instruments Lab, and Intel Intelligent Lab. He is the center lead of LNMIIT’s Center of Smart Technology (L-CST). He is a member of the IEEE, the Computer Society and Consumer Electronics Society, a Lifetime Member of the Indian Society forTechnical Education (ISTE), a Lifetime Member of the Advanced Computing Society(ACS), India, and a Life Member of the Computer Society of India (CSI). He is also Membership Secretary of IEEE CTSoC, Application-specific CE for Smart Cities (SMC). He has taught microprocessors and interface, the internet of things and embedded systems at undergraduate level, and applied machine learning and system on chip at postgraduate level. His research interests are real-time systems and embedded systems. Dr Luiz Alberto Pasini Melek received his BE in electronic engineering (cum laude) from the Federal University of Paraná (UFPR), Curitiba, Brazil, in 1998. He holds a Diploma in Telecommunications, 2001, and a Diploma in Embedded Systems Design, 2014. He received his MS degree in 2004, and PhD in 2017, both from the Federal University of Santa Catarina (UFSC), Brazil. In 2015–16 he was a professor in the Electrical Engineering Department of UFPR, where he taught classes in basic electronics, analog filters, laboratory of electronics, and laboratory of electricity. He has more than 20 years of experience in industry and since 2017 he has worked as a hardware specialist engineer at Pumatronix, Curitiba, Brazil. He has designed both hardware and firmware for applications such as embedded systems, automotives, telecommunications, metering, and agriculture. He has authored or co-authored 14 papers in international journals and conferences, and works as a volunteer. He is a reviewer for the journals IEEE Transactions on Circuits and Systems I: Regular Papers, IEEE Transactions on Circuits and Systems II: Express Briefs, IEEE Transactions on Device and Materials Reliability, and World Journal of Engineering. His main interests are ultra-low voltage digital and mixed-signal circuits for VLSI, and the development of embedded systems for a broad range of applications. Prof. Daniele D. Caviglia graduated in electronic engineering and specialized in computer engineering at the University of Genoa, Italy, in 1980 and 1982, respectively. In 1983, he joined the Institute of Electrical Engineering, University of Genoa, as Assistant Professor of Electronics. Since 1984, he has been with the Department of Biophysical and Electronic Engineering (DIBE), as associate professor from 1992 and as full professor since 2000. From 2002 to 2008, he was the Director of DIBE. He is currently with the Department of Electrical, Electronics and Telecommunications Engineering and Naval Architecture (DITEN), University of Genoa, teaching postgraduate courses in electronic systems for telecommunications, distributed electronic systems and technologies for environmental monitoring and integrated electronics, and electronic systems laboratory undergraduate courses. He is also active in the development of innovative solutions for environmental monitoring for civil protection and security applications. His research interests include the design of electronic circuits and systems for telecommunications, electronic equipment for health and safety, and energy harvesting techniques for internet of things (IoT) applications. He is a Life Member of the IEEE.