Wideband Wave-Propagating Components for Wireless RF Communications
Power Factor Correction Converter for Electric Vehicle Applications
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.
The Heart and the Chip
There is a robotics revolution underway. A record 3.1 million robots are working in factories right now, doing everything from assembling computers to packing goods and monitoring air quality and performance. A far greater number of smart machines impact our lives in countless other ways--improving the precision of surgeons, cleaning our homes, extending our reach to distant worlds--and we're on the cusp of even more exciting opportunities.In The Heart and the Chip, roboticist Daniela Rus and science writer Gregory Mone provide an overview of the interconnected fields of robotics, artificial intelligence, and machine learning, and reframe the way we think about intelligent machines while weighing the moral and ethical consequences of their role in society. Robots aren't going to steal our jobs: they're going to make us more capable, productive, and precise.At once optimistic and realistic, Rus and Mone envision a world in which these technologies augment and enhance our skills and talents, both as individuals and as a species--a world in which the proliferation of robots allows us all to be more human.
Annals of Scientific Society for Assembly, Handling and Industrial Robotics 2023
Adaptive Power Quality for Power Management Units using Smart Technologies
This proposed book covers the issues associated in smart systems due to the presence of onboard nonlinear components. It discusses the advanced architecture of smart system for power management unit. It explores the issues in power management and identifies the hazardous signal in power management unit of smart devices.
Sensors for Next-Generation Electronic Systems and Technologies
The text presents case studies on surface plasmon resonance sensors, MEMS-based fluidic sensors, and MEMS-based electrochemical gas sensors in a single volume. The text will be useful for senior undergraduate, graduate students, academic researchers in the fields of electrical engineering, electronics, and communication engineering.
Autonomous Positioning of Piezoactuated Mechanism for Biological Cell Puncture
Autonomous Positioning of Piezoactuated Mechanism for Biological Cell Puncture gives a systematic and almost selfcontained description of the many facets of advanced design.
Fundamentals of Electromechanical Drives
Electromechanical drive systems have both electrical and mechanical processes. Designing these systems involve many factors like steady-state performance, braking, speed control, overloads, ambient conditions, and mechanical coupling. This textbook comprehensively covers the fundamentals of electromechanical drives, combining theory and analytical studies. It is divided into three main parts: mechanical (torques, masses, inertia), electrical (DC, induction, and synchronous machines), and motor selection (rated torque, power, and thermal stress capacity). Aimed at advanced students majoring in electrical or mechanical disciplines, this 15-week course material is based on extensive teaching experience. It includes practical examples, detailed solutions, and drill problems. Additionally, it serves as a valuable reference for design and supervising engineers in various industries.Key features: Core textbook for advanced courses on electric drives or electromechanical drives Provides comprehensive coverage of the fundamentals of electromechanical drives Treats the key topics through theory and analytical studies that include technical understanding of mechanical characteristics of the electrical motors and the driven machines Includes examples taken from practical electromechanical drive systems with detailed solutions and drill problems A solutions manual is available for instructors
Remote Sensing of Natural Hazards
This book examines the remote sensing technology used to gather information on 12 types of natural hazards in the terrestrial sphere, biosphere, hydrosphere, and atmosphere. It clarifies how to yield spatial and quantitative data on a natural hazard, including its spatial distribution, severity, causes, and the likelihood of occurrence.
Nonrecursive Control Design for Nonlinear Systems
Based on authors' recent advances, this book focuses on a class of nonlinear systems with mismatched uncertainties/disturbances and discusses their typical control problems. It aims to provide a comprehensive view of the non-recursive control theory and application guidelines.
On-Board Processing for Satellite Remote Sensing Images
This book explains methods, mathematical models, and key technologies used for on-board processing for remotely sensed satellite images, a technology that maximizes image data transmission efficiency. Intended for students, researchers, and professionals in government and industry interested in the remote sensing of cities and disaster monitoring.
Applied Intelligence in Human-Computer Interaction
The text comprehensively discusses the fundamental aspects of human-computer interaction, and applications of artificial intelligence in diverse areas including disaster management, smart infrastructures, and healthcare.
6G Wireless
The book provides a thorough discussion on emerging topics related to 6G wireless communication systems such as programmable wireless environment (PWE); distributed and pervasive AI for wireless communications as well as terahertz (THz) communications.
Communications-Based Train Control (Cbtc)
Urban rail systems are increasingly reaching their limits as traffic demand rises. The safety and performance of these transport systems are significantly determined by the control and safety technology used. Expanding the transport offering requires efficient signaling systems, known as Communications-Based Train Control (CBTC) systems. In this book, the author presents the system environment into which CBTC systems are integrated within urban transport companies. It shows how the individual safety functions of CBTC solutions contribute to hazard control and how technical systems progressively take over more functions from humans with increasing grades of automation. Finally, non-functional requirements for CBTC systems such as safety, availability, performance, and cost-effectiveness are discussed, and factors for the successful execution of complex signaling renewal projects are highlighted.
Digital Image Processing and Analysis
Digital Image Enhancement, Restoration and Compression focuses on human vision-based imaging application development. Examples include making poor images look better, the development of advanced compression algorithms, special effects imaging for motion pictures and the restoration of satellite images distorted by atmospheric disturbance. This book presents a unique engineering approach to the practice of digital imaging, which starts by presenting a global model to help gain an understanding of the overall process, followed by a breakdown and explanation of each individual topic. Topics are presented as they become necessary for understanding the practical imaging model under study, which provides the reader with the motivation to learn about and use the tools and methods being explored.The book includes chapters on imaging systems and software, the human visual system, image transforms, image filtering, image enhancement, image restoration, and image compression. Numerous examples, including over 700 color images, are used to illustrate the concepts discussed. Readers can explore their own application development with any programming language, including C/C++, MATLAB(R), Python and R, and software is provided for both the Windows/C/C++ and MATLAB environments.The book can be used by the academic community in teaching and research, with over 1,000 PowerPoint slides and a complete solutions manual to the over 230 included problems. It can also be used for self-study by those involved with application development, whether they are engineers, scientists or artists. The new edition has been extensively updated and includes numerous problems and programming exercises that will help the reader and student develop their skills.
Sensors, Circuits, and Systems for Scientific Instruments
Sensors, Circuits, and Systems for Scientific Instruments: Fundamentals and Front-Ends presents a unified treatment of modern measurement systems by integrating relevant knowledge in sensors, circuits, signal processing, and machine learning. It also presents detailed case studies of several real-life measurement systems to illustrate how theoretical analysis and high-level designs are translated into working scientific instruments. The book is meant for upper-level undergraduate and beginning graduate students in electrical and computer engineering, applied physics, and biomedical engineering. It is designed to fill a gap in the market between books focused on specific components of measurement systems (semiconductor devices, analog circuits, digital signal processing, etc.) and books that provide a high-level "survey" or "handbook"-type overview of a wide range of sensors and measurement systems.
Synthetic Aperture Radar for Surface Motion Estimation
This book delivers a comprehensive introduction to the principles and applications of synthetic aperture radar (SAR) for measuring and monitoring surface motion caused by a wide range of geophysical phenomena, such as earthquakes, volcanoes, urban subsidence, and landslides. Along with covering essential SAR concepts like the radar equation, resolution, and signal processing techniques such as focusing and interferometry, the book provides an in-depth exploration of advanced methodologies, including PSInSAR, STUN, PSP, StaMPS, SBAS, QPS, and SqueeSAR, all critical for tracking long-term surface deformation.Techniques such as pixel offset tracking and SAR-based absolute positioning are also thoroughly introduced, with illustrative examples provided to enhance understanding. Each step of these techniques is clearly explained, breaking down complex topics for readers. Additionally, a vivid case study on ship detection helps illustrate SAR imaging principles and target scattering characteristics, offering a strong foundation for SAR-based measurement techniques.Written in an accessible and clear style, the book features numerous real-world examples and case studies drawn from modern SAR missions like Sentinel-1 and TerraSAR-X, effectively bridging the gap between theoretical foundations and practical applications. This valuable reference is ideal for graduate students, researchers, and professionals in the fields of remote sensing, geodesy, geosciences, and engineering, providing not only essential foundational knowledge but also insights into the latest technological advancements in surface motion monitoring.
Principles and Practices of Electrical Safety Engineering
Electrical safety is a critical component of modern engineering, vital for protecting both persons and property from the inherent hazards of electrical systems. This book delves into the core principles and practical applications of electrical safety engineering, offering invaluable insights for engineers, technicians, and students alike.Inside this book, you will find: In-depth explanations and visual aids: Numerous explanatory figures accompany detailed discussions on key concepts, making complex ideas accessible and understandable. Protective measures and risk assessment: Explore standard and advanced protective measures, fault protection systems, and thorough risk assessment methodologies to ensure the safety and reliability of electrical systems. Safety-by-design principles: Learn how to integrate safety considerations from the earliest stages of design, creating inherently safer electrical systems. Authored by a leading expert in the field, this book is an essential resource for anyone involved in the design, operation, or maintenance of electrical systems. Equip yourself with the knowledge and tools to ensure electrical safety and contribute to the advancement of safer electrical practices worldwide.Principles and Practices of Electrical Safety Engineering is your definitive guide to mastering the critical aspects of electrical safety, offering both theoretical foundations and practical solutions to meet the demands of today's complex electrical environments.
Opto-VLSI Devices and Circuits for Biomedical and Healthcare Applications
