Wiley-VCH - Electrical & Electronics Engineering
A Passion for Publishing
- Forecasting Methods for Renewable Power Generation
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Field Effect Transistors
Field Effect Transistors is an essential read for anyone interested in the future of electronics, as it provides a comprehensive yet accessible exploration of innovative semiconductor devices and their applications, making it a perfect resource for both beginners and seasoned professionals in the field. Miniaturization has become the slogan of the electronics industry. Field Effect Transistors serves as a short encyclopedia for young minds looking for solutions in the miniaturization of semiconductor devices. It explores the characteristics, novel materials used, modifications in device structure, and advancements in model FET devices. Though many devices following Moore's Law have been proposed and designed, a complete history of the existing and proposed semiconductor devices is not available. This book focuses on developments and research in emerging semiconductor FET devices and their applications, providing unique coverage of topics covering recent advancements and novel concepts in the field of miniaturized semiconductor devices. Field Effect Transistors is an easy-to-understand guide, making it excellent for those who are new to the subject, giving insight and analysis of recent developments and developed semiconductor device structures along with their applications. [528 Pages, Hardcover]
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- Next-Generation Systems and Secure Computing
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Deep Learning on Embedded Systems
Comprehensive, accessible introduction to deep learning for engineering tasks through Python programming, low-cost hardware, and freely available software Deep Learning On Embedded Systems is a comprehensive guide to the practical implementation of deep learning for engineering tasks through computers and embedded hardware such as Raspberry Pi and Nvidia Jetson Nano. After an introduction to the field, the book provides fundamental knowledge on deep learning, convolutional and recurrent neural networks, computer vision, and basics of Linux terminal and docker engines. This book shows detailed setup steps of Jetson Nano and Raspberry Pi for utilizing essential frameworks such as PyTorch and OpenCV. GPU configuration and dependency installation procedure for using PyTorch is also discussed allowing newcomers to seamlessly navigate the learning curve. A key challenge of utilizing deep learning on embedded systems is managing limited GPU and memory resources. This book outlines a strategy of training complex models on a desktop computer and transferring them to embedded systems for inference. Also, students and researchers often face difficulties with the varying probabilistic theories and notations found in data science literature. To simplify this, the book mainly focuses on the practical implementation part of deep learning using Python programming, low-cost hardware, and freely available software such as Anaconda and Visual Studio Code.To aid in reader learning, questions and answers are included at the end of most chapters. Written by a highly qualified author, Deep Learning On Embedded Systems includes discussion on: * Fundamentals of deep learning, including neurons and layers, activation functions, network architectures, hyperparameter tuning, and convolutional and recurrent neural networks (CNNs & RNNs) * PyTorch, OpenCV, and other essential framework setups for deep transfer learning, along with Linux terminal operations, docker engine, docker images, and virtual environments in embedded devices. Training models for image classification and object detection with classification, then converting trained PyTorch models to ONNX format for efficient deployment on Jetson Nano and Raspberry Pi. Deep Learning On Embedded Systems serves as an excellent introduction to the field for undergraduate engineering students seeking to learn deep learning implementations for their senior capstone or class projects and graduate researchers and educators who wish to implement deep learning in their research. [256 Pages, Hardcover]
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Analysis of Electric Machinery and Drive Systems
New edition of the popular reference on machine analysis, focusing on reference frame theory with techniques for derivation of equations Analysis of Electric Machinery and Drive Systems covers the concepts needed to understand the evolution of electrical and magnetic variables for designing the power-electronic circuits that supply or extract electrical energy from a variety of machines, comprehensively addressing the varied needs of readers in the electric machinery, electric drives, and electric power industries. This fourth edition has been extensively revised and updated to include nine new or updated chapters on symmetrical three-phase stators, symmetrical induction machines, brushless DC machines, synchronous machines, neglecting electric transients, eigenvalues and voltage-behind-reactive machine equations, direct current machine and drive, and torque control of permanent-magnet and synchronous reluctance machines. Introductory concepts related to the subject have also been expanded upon, detailing stationary magnetically coupled circuits, energy balance relationships, energy in coupling field, and steady-state and dynamic performance of electromechanical systems. The fourth edition also includes illustrations of the free-acceleration characteristics of induction and brushless dc machines viewed from various reference frames and many other topics. With problems at the end of each chapter to reinforce learning, the book explores additional topics including: * Operational impedances and time constraints of synchronous machines, covering Park's equations in operational form and parameters from short-circuit and frequency-response characteristics * Fully controlled three-phase bridge converters, covering six-step, sine-triangle, space-vector, hysteresis, and delta modulations, along with open- and closed-loop voltage and current regulations * Motor drives, covering volts-per-hertz, constant slip current, field-oriented, and direct torque control as well as slip energy recovery drives * Brushless DC motor drives, covering average-value analysis, steady-state performance, and transient and dynamic performance of voltage-source inverter drives Analysis of Electric Machinery and Drive Systems, Fourth Edition, is a perfect resource for electrical engineering students and an essential, up-to-date reference for electrical and mechanical engineers working with drives. [496 Pages, Hardcover]
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