2018 IEEE International Symposium on Circuits and Systems (ISCAS) PDF Download
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Author:
Publisher:
ISBN:
Category : Electronic circuits
Languages : en
Pages :
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Book Description
Author:
Publisher:
ISBN:
Category : Electronic circuits
Languages : en
Pages :
Get Book Here
Book Description
Author: IEEE Staff
Publisher:
ISBN: 9781538648827
Category :
Languages : en
Pages :
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Book Description
ISCAS is the world s premier networking and exchange forum for leading researchers in the highly active fields of theory, design and implementation of circuits and systems ISCAS is the flagship conference of the IEEE Circuits and Systems Society and aim to bring together its multidisciplinary community that has a strong history of cultivating creative, proof of concept research in a diverse range of technical domains including analog and digital circuits and systems, nanotechnology, sensors, nonlinear systems, biosystems, neural systems, signal processing, and communications
Author: Sanghamitra Roy
Publisher: MDPI
ISBN: 3036507205
Category : Technology & Engineering
Languages : en
Pages : 120
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Book Description
Modern society is witnessing a sea change in ubiquitous computing, in which people have embraced computing systems as an indispensable part of day-to-day existence. Computation, storage, and communication abilities of smartphones, for example, have undergone monumental changes over the past decade. However, global emphasis on creating and sustaining green environments is leading to a rapid and ongoing proliferation of edge computing systems and applications. As a broad spectrum of healthcare, home, and transport applications shift to the edge of the network, near-threshold computing (NTC) is emerging as one of the promising low-power computing platforms. An NTC device sets its supply voltage close to its threshold voltage, dramatically reducing the energy consumption. Despite showing substantial promise in terms of energy efficiency, NTC is yet to see widescale commercial adoption. This is because circuits and systems operating with NTC suffer from several problems, including increased sensitivity to process variation, reliability problems, performance degradation, and security vulnerabilities, to name a few. To realize its potential, we need designs, techniques, and solutions to overcome these challenges associated with NTC circuits and systems. The readers of this book will be able to familiarize themselves with recent advances in electronics systems, focusing on near-threshold computing.
Author: Rafik Zitouni
Publisher: Springer Nature
ISBN: 3030705722
Category : Computers
Languages : en
Pages : 350
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Book Description
This book constitutes the thoroughly refereed proceedings of the 12th International Conference on e-Infrastructure and e-Services for Developing Countries, AFRICOMM 2020, held in Ebène City, Mauritius, in December 2020. Due to COVID-19 pandemic the conference was held virtually. The 20 full papers were carefully selected from 90 submissions. The papers are organized in four thematic sections on dynamic spectrum access and mesh networks; wireless sensing and 5G networks; software-defined networking; Internet of Things; e-services and big data; DNS resilience and performance.
Author: Pieter Harpe
Publisher: Springer Nature
ISBN: 303091741X
Category : Technology & Engineering
Languages : en
Pages : 351
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Book Description
This book is based on the 18 tutorials presented during the 29th workshop on Advances in Analog Circuit Design. Expert designers present readers with information about a variety of topics at the frontier of analog circuit design, with specific contributions focusing on analog circuits for machine learning, current/voltage/temperature sensors, and high-speed communication via wireless, wireline, or optical links. This book serves as a valuable reference to the state-of-the-art, for anyone involved in analog circuit research and development.
Author: Paolo Stefano Crovetti
Publisher: MDPI
ISBN: 3036505008
Category : Technology & Engineering
Languages : en
Pages : 206
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Book Description
Recent progress in the fields of Electrical and Electronic Engineering has created new application scenarios and new Electromagnetic Compatibility (EMC) challenges, along with novel tools and methodologies to address them. This volume, which collects the contributions published in the “Electromagnetic Interference and Compatibility” Special Issue of MDPI Electronics, provides a vivid picture of current research trends and new developments in the rapidly evolving, broad area of EMC, including contributions on EMC issues in digital communications, power electronics, and analog integrated circuits and sensors, along with signal and power integrity and electromagnetic interference (EMI) suppression properties of materials.
Author: Alex Pappachen James
Publisher: Springer
ISBN: 3030145247
Category : Technology & Engineering
Languages : en
Pages : 213
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Book Description
This book introduces readers to the fundamentals of deep neural network architectures, with a special emphasis on memristor circuits and systems. At first, the book offers an overview of neuro-memristive systems, including memristor devices, models, and theory, as well as an introduction to deep learning neural networks such as multi-layer networks, convolution neural networks, hierarchical temporal memory, and long short term memories, and deep neuro-fuzzy networks. It then focuses on the design of these neural networks using memristor crossbar architectures in detail. The book integrates the theory with various applications of neuro-memristive circuits and systems. It provides an introductory tutorial on a range of issues in the design, evaluation techniques, and implementations of different deep neural network architectures with memristors.
Author: Abhishek Kumar
Publisher: John Wiley & Sons
ISBN: 1119910390
Category : Computers
Languages : en
Pages : 244
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Book Description
MACHINE LEARNING TECHNIQUES FOR VLSI CHIP DESIGN This cutting-edge new volume covers the hardware architecture implementation, the software implementation approach, the efficient hardware of machine learning applications with FPGA or CMOS circuits, and many other aspects and applications of machine learning techniques for VLSI chip design. Artificial intelligence (AI) and machine learning (ML) have, or will have, an impact on almost every aspect of our lives and every device that we own. AI has benefitted every industry in terms of computational speeds, accurate decision prediction, efficient machine learning (ML), and deep learning (DL) algorithms. The VLSI industry uses the electronic design automation tool (EDA), and the integration with ML helps in reducing design time and cost of production. Finding defects, bugs, and hardware Trojans in the design with ML or DL can save losses during production. Constraints to ML-DL arise when having to deal with a large set of training datasets. This book covers the learning algorithm for floor planning, routing, mask fabrication, and implementation of the computational architecture for ML-DL. The future aspect of the ML-DL algorithm is to be available in the format of an integrated circuit (IC). A user can upgrade to the new algorithm by replacing an IC. This new book mainly deals with the adaption of computation blocks like hardware accelerators and novel nano-material for them based upon their application and to create a smart solution. This exciting new volume is an invaluable reference for beginners as well as engineers, scientists, researchers, and other professionals working in the area of VLSI architecture development.
Author:
Publisher: BoD – Books on Demand
ISBN: 1803561432
Category : Computers
Languages : en
Pages : 298
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Book Description
Dive into the cutting-edge world of Neuromorphic Computing, a groundbreaking volume that unravels the secrets of brain-inspired computational paradigms. Spanning neuroscience, artificial intelligence, and hardware design, this book presents a comprehensive exploration of neuromorphic systems, empowering both experts and newcomers to embrace the limitless potential of brain-inspired computing. Discover the fundamental principles that underpin neural computation as we journey through the origins of neuromorphic architectures, meticulously crafted to mimic the brain’s intricate neural networks. Unlock the true essence of learning mechanisms – unsupervised, supervised, and reinforcement learning – and witness how these innovations are shaping the future of artificial intelligence.
Author: Jennifer S. Raj
Publisher: Springer Nature
ISBN: 9819917263
Category : Technology & Engineering
Languages : en
Pages : 866
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Book Description
This book features research papers presented at the 6th International Conference on Intelligent Sustainable Systems (ICISS 2023), held at SCAD College of Engineering and Technology, Tirunelveli, Tamil Nadu, India, during February 2–3, 2023. The book reports research results on the development and implementation of novel systems, technologies, and applications that focus on the advancement of sustainable living. The chapters included in this book discuss a spectrum of related research issues such as applications of intelligent computing practices that can have ecological and societal impacts. Moreover, this book emphasizes on the state-of-the-art networked and intelligent technologies that are influencing a promising development in the direction of a long-term sustainable future. The book is beneficial for readers from both academia and industry.
