Advances in VLSI, Signal Processing, Power Electronics, IoT, Communication and Embedded Systems

Select Proceedings of VSPICE 2022
2024
ISBN: 978-981-99-4446-0
Verlag: Springer Nature Singapore

Buch, Englisch, 344 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 605 g

Reihe: Lecture Notes in Electrical Engineering

This book comprises select peer-reviewed papers from the International Conference on VLSI, Signal Processing, Power Electronics, IoT, Communication, and Embedded Systems (VSPICE-2022). The book provides insights into various aspects of electronics and communication engineering as a holistic approach. The various topics covered in this book include VLSI, embedded systems, signal processing, communication, power electronics, and the Internet of Things. The contents mainly focus on the most recent innovations, trends, concerns, and practical challenges and their solutions. This book is useful for academicians, professionals, and researchers in the area of electronics and communications and electrical engineering.

Zielgruppe

Research

Autoren/Hrsg.

Kalya, Shubhakar

Bhat, Subramanya

Kulkarni, Muralidhar

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Drahtlostechnologie
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Bauelemente, Schaltkreise

Inhaltsverzeichnis

Prototype for Parking Shield System Using Raspberry Pi.- Design and Implementation of Smart Waste Management System.- Multiplier Design for the Modulo Set and its Application in DCT for HEVC.- Modelling performance analysis in VLSI testing methodologies.- Verification of AHB2APB Bridge Protocol using UVM.- Design and Verification of AMBA AHB Protocol using UVM.- Dictowriter: Speech to Text Plotter.- Classification Performance Analysis of CART and ID3 Decision Tree Classifiers on Remotely Sensed Data.- Spectral Splitting of Speech Using Time Varying Comb Filters to Improve Speech Perception in Sensorineural Hearing Loss Subjects.- Soil Erosion Studies of Mangaluru Coastal Region Using Satellite Imageries and Machine Learning Algorithms.- Denoising of ECG Signal using Optimized IIR Filter Architecture - A CSD Based Design.- Deep Learning Analysis for Skin Cancer Detection.- Design and Development of a BCI Framework to control a UTM using EEG Headset.- Approximate Compressors Based Multiplier for Image  Processing and Neuromorphic Modelling.- Integration of Particle Swarm Optimization and Sliding Mode Control: A Comprehensive Review.- Design and Testing of a Solar Powered Automated Fruit and Vegetable Sorter.- Characterization of Dust Particles and their Impact on the Performance of Photovoltaic Panels: A Laboratory Investigation. 

Über Autor(innen)

Shubhakar Kalya obtained his master’s degree in Microelectronics from the Indian Institute of Science (IISc), Bangalore, India, in 2007 and a Ph.D. degree in the field of Nanoelectronics from the School of Electrical and Electronics Engineering, Nanyang Technological University (NTU), Singapore, in 2013. He obtained his bachelor’s degree in Electronics and Communication Engineering from N.M.A.M. Institute of Technology, Nitte. He is working as a faculty in the Engineering Product Development (EPD) Pillar at the Singapore University of Technology and Design (SUTD), Singapore. His research work focuses on the nanoscale characterization of high-? gate dielectrics and 2D materials for advanced logic and memory devices and their reliability analysis. He has authored/co-authored more than 30 research publications (journals/international conferences) and two book chapters.
Muralidhar Kulkarni received his B.E. (Electronics Engineering) degree from the University of Visvesvaraya College of Engineering, Bangalore University, India; M.Tech. (Satellite Communication and Remote Sensing) degree from the Indian Institute of Technology (IIT) Kharagpur; and Ph.D. from JMI Central University, New Delhi, in the area of optical communication networks. He has served in various capacities in industry and academics for the last 35 years. Currently, he is a professor in the Department of Electronics and Communication Engineering (ECE), National Institute of Technology (NIT) Karnataka, Surathkal, India. His teaching and research interests are digital communications, information theory and coding, fuzzy digital image processing, optical communication and networks, and OFDM/COFDM techniques. He has published over 50 papers in reputed international/national journals and conferences. He has also authored 5 books in the area of communication.
Subramanya Bhat received his B.E. degree from Manipal Institute of Technology, Manipal, and M.Tech. (Industrial Electronics) degree from Sree Jaya Chamarajendra College of Engineering, Visvesvaraya Technological University, Karnataka, in 2000 and 2007, respectively. He completed his Ph.D. from Visvesvaraya Technological University Karnataka in the field of DSP Based Power Converters in 2018. Currently, he is an associate professor at the Department of Electronics and Communication Engineering, N.M.A.M. Institute of Technology, Nitte, Karnataka. His areas of research interest include machine learning, signal and image processing, and power electronics. He has published several research papers in reputed international journals and conferences.