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The book focuses on holography and tomography for quasimonochromatic and broadband signals, and gives detailed coverage of the basic physical methods, inverse problems and mathematical principles.
A compelling account of the life of one of the great pioneers of electrical science Oliver Heaviside (1850-1925). He showed how to analyse circuit, how to rid telephone lines of distortion and interpreted Maxwell's theory of electromagnetism in a way that working engineers and physicists could understand.
A set of four volumes compiled by leading authorities in the electricity supply industry and manufacturing companies to provide a comprehensive treatment of power system protection.
Fundamentals of Electromagnetics with MATLAB® Second Edition equips you for your journey into learning the theory and the application of electromagnetic fields and waves.
"Updated to 17th edition of IEE wiring regulations"--Cover.
Updated to cover the 17th edition of the IEE Wiring Regulations, this is a comprehensive guide to all aspects of electrical installation design. It includes an index by regulation number.
This book is devoted to the specific problems of electromagnetic field (EMF) measurements in the near field and to the analysis of the main factors which impede accuracy in these measurements.
This book discusses electromagnetic waves and antennas used as diagnostic tools and therapeutic techniques for applications in cancer detection, stroke event detection, GI diagnostics, and cardiovascular risk predictions. It discusses electromagnetic devices, wireless implants, and in vitro and in vivo testing.
The book provides a systematic introduction to the principles, state-of-the-art methods and applications of high frequency surface/sky wave radar and microwave marine radar, as well as an exploration of ongoing challenges in the field. It is a valuable resource for the radar and remote sensing communities.
This book covers state of the art interdisciplinary research on key disruptive and interrelated technologies such as Big Data, Edge computing, IoT and Cloud computing. The authors address the challenges from a distributed system perspective, with clear contributions in theory and applications.
This expanded and updated second edition is an essential guide to technologies for operating modern flexible power systems. Additional content for this edition includes four new chapters on recent modelling, control and stability analysis of power electronic converters and electric vehicles.
This expanded and updated second edition covers advanced data-driven signal processing techniques for the analysis of power system data and transient oscillations in power grids. New content includes new architectures for smart grids and microgrids, multitemporal data fusion, deep learning, multichannel phasor measurement.
In this book, the authors articulate the challenges associated with streaming data and analytics, describe data analytics algorithms and approaches, present edge and fog computing concepts and technologies and show how streaming analytics can be accomplished in edge device clouds. They also delineate several industry use cases.
Graph analytics are being empowered through novel analytics techniques to explore and pinpoint beneficial relationships between different entities such as organizations, people and transactions. This edited book presents the various aspects and importance of graph data science, with contributions by authors from academia and industry.
Inspired by MPEG-I and JPEG-PLENO standardization activities, this book is for readers who want to understand 3D representations and multi-camera video processing for novel immersive media applications. The authors address new challenges that arise beyond compression-only, such as depth acquisition and 3D rendering.
Radar signals are one of the most challenging signals to process, because of the extreme signal to noise ratio and the dynamic range of the signals. This book gives readers an analysis of the various tools available to help better understand radar data, including coverage of new machine learning and statistical methods.
Model predictive control (MPC) is a method for controlling a process while satisfying a set of constraints. The use of MPC for controlling power systems has been gaining traction in recent years. This work presents the use of MPC for distributed renewable power generation in microgrids.
Written by a range of researchers and practitioners in the field of IoT, data mining, and machine learning, this edited book provides a systemic review of trends, challenges and future directions of IoMT enabling technologies, such as machine learning, wireless communications, and network security.
This book explores the potential for combining recent advances from three fields - metamaterials, automated optimal design and 3D printing. The role of metamaterials in innovative device design is explored, and the development of 3D printing techniques for successfully fabricating new devices from these materials is examined.
The comprehensive reference on synchronous reluctance machines, which offer high power density at low cost and support the electrification in the transport sector. This book, written by top academic and industry experts, covers all topics required to design these machines.
A structured research overview of techniques to manage microgrids with distributed energy resources (DERs). The focus is on coordination on both temporal and spatial scales. Chapters cover mathematical models, sizing and siting of DERs, robust optimisation, distributed coordinated control, and hardware-in-the-loop tests.
Small Wind and Hydrokinetic Turbines is a valuable summary for researchers involved with small wind turbines and SHKT development and deployment, both in academia and industry, for research on powering remote areas, as well as for advanced students and manufacturers of turbines.
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