VLSI Design and Test


Book Description

This book constitutes the proceedings of the 26th International Symposium on VLSI Design and Test, VDAT 2022, which took place in Jammu, India, in July 2022. The 32 regular papers and 16 short papers presented in this volume were carefully reviewed and selected from 220 submissions. They were organized in topical sections as follows: Devices and Technology; Sensors; Analog/Mixed Signal; Digital Design; Emerging Technologies and Memory; System Design.




Proceedings of the International Conference on Computational Intelligence and Sustainable Technologies


Book Description

This book presents the collection of the accepted research papers presented in the 1st ‘International Conference on Computational Intelligence and Sustainable Technologies (ICoCIST-2021)’. This edited book contains the articles related to the themes on artificial intelligence in machine learning, big data analysis, soft computing techniques, pattern recognitions, sustainable infrastructural development, sustainable grid computing and innovative technology for societal development, renewable energy, and innovations in Internet of Things (IoT).




2020 24th International Symposium on VLSI Design and Test (VDAT)


Book Description

The conference will provide a forum to exchange ideas, techniques, and applications, discuss best practices and share experience among researchers, practitioners, developers and academicians working in the cutting edge technology of VLSI design and test VDAT is one of the prestigious international conferences in India The primary focus of VDAT 2020 will be the research presentation in the areas such as advanced devices, new design methodologies, circuits and systems, testing, and design automation




Advances in VLSI and Embedded Systems


Book Description

This book presents select peer-reviewed proceedings of the 2nd International Conference on Advances in VLSI and Embedded Systems (AVES 2021). This book covers cutting-edge original research in VLSI design, devices and emerging technologies, embedded systems, and CAD for VLSI. To address the demand for complex and high-functionality systems as well as portable consumer electronics, the contents focus on advanced topics of circuit and systems design, fabrication, testing, and standardization. This book is useful for students, researchers as well as industry professionals interested in emerging trends in VLSI and embedded systems.




Advanced Field-Effect Transistors


Book Description

Advanced Field-Effect Transistors: Theory and Applications offers a fresh perspective on the design and analysis of advanced field-effect transistor (FET) devices and their applications. The text emphasizes both fundamental and new paradigms that are essential for upcoming advancement in the field of transistors beyond complementary metal–oxide–semiconductors (CMOS). This book uses lucid, intuitive language to gradually increase the comprehension of readers about the key concepts of FETs, including their theory and applications. In order to improve readers’ learning opportunities, Advanced Field-Effect Transistors: Theory and Applications presents a wide range of crucial topics: • Design and challenges in tunneling FETs • Various modeling approaches for FETs • Study of organic thin-film transistors • Biosensing applications of FETs • Implementation of memory and logic gates with FETs The advent of low-power semiconductor devices and related implications for upcoming technology nodes provide valuable insight into low-power devices and their applicability in wireless, biosensing, and circuit aspects. As a result, researchers are constantly looking for new semiconductor devices to meet consumer demand. This book gives more details about all aspects of the low-power technology, including ongoing and prospective circumstances with fundamentals of FET devices as well as sophisticated low-power applications.




VLSI and Hardware Implementations using Modern Machine Learning Methods


Book Description

Machine learning is a potential solution to resolve bottleneck issues in VLSI via optimizing tasks in the design process. This book aims to provide the latest machine-learning–based methods, algorithms, architectures, and frameworks designed for VLSI design. The focus is on digital, analog, and mixed-signal design techniques, device modeling, physical design, hardware implementation, testability, reconfigurable design, synthesis and verification, and related areas. Chapters include case studies as well as novel research ideas in the given field. Overall, the book provides practical implementations of VLSI design, IC design, and hardware realization using machine learning techniques. Features: Provides the details of state-of-the-art machine learning methods used in VLSI design Discusses hardware implementation and device modeling pertaining to machine learning algorithms Explores machine learning for various VLSI architectures and reconfigurable computing Illustrates the latest techniques for device size and feature optimization Highlights the latest case studies and reviews of the methods used for hardware implementation This book is aimed at researchers, professionals, and graduate students in VLSI, machine learning, electrical and electronic engineering, computer engineering, and hardware systems.










Data Intelligence and Cognitive Informatics


Book Description

The book is a collection of peer-reviewed best selected research papers presented at the International Conference on Data Intelligence and Cognitive Informatics (ICDICI 2021), organized by SCAD College of Engineering and Technology, Tirunelveli, India, during July 6–7, 2022. This book discusses new cognitive informatics tools, algorithms and methods that mimic the mechanisms of the human brain which lead to an impending revolution in understating a large amount of data generated by various smart applications. The book includes novel work in data intelligence domain which combines with the increasing efforts of artificial intelligence, machine learning, deep learning and cognitive science to study and develop a deeper understanding of the information processing systems.