2020

Signal Processing for Fault Detection and Diagnosis in Electric Machines and Systems

Wed, 09 Sep 2020 12:53:23 GMT

Over the last three decades, the search for competitiveness and growth gains has driven the evolution of machine maintenance policies, and the industry has moved from passive maintenance to active maintenance with the aim of improving productivity. Active maintenance requires continuous monitoring of industrial systems in order to increase reliability, availability rates and guarantee the safety of people and property.

This book presents the main advanced signal processing techniques for fault detection and diagnosis in electromechanical systems. It focuses on presenting these advanced tools from time-frequency representation and time-scale analysis to demodulation techniques, including innovative and recently developed options. Each technique is evaluated and compared, and its advantages and drawbacks highlighted. Parametric spectral analysis, which aims to handle some of the main drawbacks of these approaches, is introduced as a potential solution.

Signal Processing for Fault Detection and Diagnosis in Electric Machines and Systems offers thorough, analytical coverage of the following topics: parametric signal processing approach; the signal demodulation techniques; Kullback-Leibler divergence for incipient fault diagnosis; high-order spectra (HOS); and fault detection and diagnosis based on principal component analysis. Finally, a brief conclusion suggests some possibilities for the future direction of the field.

The book is a useful resource for researchers and engineers whose work involves electrical machines or fault detection specifically, and also of value to postgraduate students with an interest in entering this field.

Traffic Information and Control

Thu, 06 Aug 2020 10:47:33 GMT

Written by an international team of researchers, this book focuses on traffic information processing and signal control using emerging types of traffic data. It conveys advanced methods to estimate and predict traffic flows at different levels, including macroscopic, mesoscopic and microscopic. The aim of these predictions is to optimize traffic signal control for intersections and to mitigate ever-growing traffic congestion.

The book begins with an introduction to the topic, its fundamental principles and recent developments. The first part of the book then covers the estimation and prediction of the traffic flow state based on emerging detailed data sources. Coverage in this section includes traffic analytics with online web data; macroscopic traffic performance indicators based on floating car data; short-term travel time prediction by deep learning a comparison of different LSTM-DNN models; short-term traffic prediction under disruptions using deep leaning; real time demand based traffic diversion; game theoretic lane change strategy for cooperative vehicles under perfect information; and cooperative driving and a lane change-free road transportation system.

The second part focuses on traffic signal control optimization, explaining how to use improved data and advanced tools for better signal control. Chapters include urban traffic control systems; algorithms and models for signal coordination; emerging technologies to enhance traffic signal coordination practices; control for short-distance intersections; and multi-day evaluation of adaptive traffic signal system based on license plate recognition detector data.

A valuable resource for researchers and engineers working in the field of traffic information and control, and intelligent transport systems, Traffic Information and Control offers an overview of recent research and practical approaches to optimising traffic signal control.

Blockchains for Network Security

Thu, 06 Aug 2020 10:46:02 GMT

Blockchain technology is a powerful, cost-effective method for network security. Essentially, it is a decentralized ledger for storing all committed transactions in trustless environments by integrating several core technologies such as cryptographic hash, digital signature and distributed consensus mechanisms.

Over the past few years, blockchain technology has been used in a variety of network interaction systems such as smart contracts, public services, Internet of Things (IoT), social networks, reputation systems and security and financial services. With its widespread adoption, there has been increased focus on utilizing blockchain technologies to address network security concerns and vulnerabilities as well as understanding real-world security implications.

The book begins with an introduction to blockchains, covering key principles and applications. Further chapters cover blockchain system architecture, applications and research issues; blockchain consensuses and incentives; blockchain applications, projects and implementations; blockchain for internet of things; blockchain in 5G and 6G networks; edgechain to provide security in organization based multi agent systems; blockchain driven privacy-preserving machine learning; performance evaluation of differential privacy mechanisms in blockchain based smart metering; scaling-out blockchains with sharding; blockchain for GIS; and finally blockchain applications in remote sensing big data management and production.

Blockchain and Machine Learning for e-Healthcare Systems

Thu, 06 Aug 2020 10:45:13 GMT

Blockchain and machine learning technologies can mitigate healthcare issues such as slow access to medical data, poor system interoperability, lack of patient agency, and data quality and quantity for medical research. Blockchain technology facilitates and secures the storage of information in such a way that doctors can see a patient's entire medical history, but researchers see only statistical data instead of any personal information. Machine learning can make use of this data to notice patterns and give accurate predictions, providing more support for the patients and also in research related fields where there is a need for accurate data to predict credible results.

This book examines the application of blockchain technology and machine learning algorithms in various healthcare settings, covering the basics of the technologies and exploring how they can be used to improve clinical outcomes and improving the patient's experience. These topics are illustrated with reference to issues around the supply chain, drug verification, reimbursement, control access and clinical trials. Case studies are given for applications in the analysis of breast cancer, hepatitis C, and COVID-19.

Integrated Optics

Thu, 06 Aug 2020 10:44:25 GMT

Edited by two recognised experts, this book in two volumes provides a comprehensive overview of integrated optics, from modelling to fabrication, materials to integration platforms, and characterization techniques to applications. The technology is explored in detail, and set in a broad context that addresses a range of current and potential future research and development trends.

Volume 1 begins with introductory chapters on the history of integrated optics technology, design tools, and modelling techniques. The next section of the book goes on to discuss the range of materials used for integrated optics, their deposition techniques, and their specific applications, including glasses, plasmonic nanostructures, SOI and SOS, and III-V and II-VI semiconductors.

Volume 2 addresses characterization techniques, integrated optical waveguides and devices. A range of applications are also discussed, including devices for sensing, telecommunications, optical amplifiers and lasers, and quantum computing.

The introductory chapters are intended to be of use to newcomers to the field, but its depth and breadth of coverage means that this book is also appropriate reading for early-career and senior researchers wishing to refresh their knowledge or keep up to date with recent developments in integrated optics.

Integrated Optics

Thu, 06 Aug 2020 10:43:41 GMT

Secured Hardware Accelerators for DSP and Image Processing Applications

Thu, 06 Aug 2020 10:42:44 GMT

Written by an acknowledged expert in the field, this book focuses on approaches for designing secure hardware accelerators for digital signal processing and image processing, which are also optimised for performance and efficiency. State-of-the art security and optimization algorithms are presented, and their roles in the design of secured hardware accelerators for DSP, multimedia and image processing applications are explored.

The book begins with an introduction to the principles of secured and optimized hardware accelerators for DSP and image processing applications. The following topics are then given thorough and systematic coverage: cryptography driven IP steganography for DSP hardware accelerators; double line of defence to secure JPEG codec hardware for medical imaging systems; integrating multi-key based structural obfuscation and low-level watermarking for double line of defence of DSP hardware accelerators; multimodal hardware accelerators for image processing filters; fingerprint biometric for securing hardware accelerators; key-triggered hash-chaining based encoded hardware steganography for Securing DSP hardware accelerators; designing N-point DFT hardware accelerator using obfuscation and steganography; and structural transformation and obfuscation frameworks for data-intensive IPs.

Intended primarily for researchers and practicing engineers, the book will also be of interest to graduate students with a particular interest in hardware device security.

Advanced Sparsity-Driven Models and Methods for Radar Applications

Mon, 13 Jul 2020 09:02:32 GMT

This book introduces advanced sparsity-driven models and methods and their applications in radar tasks such as detection, imaging and classification. Compressed sensing (CS) is one of the most active topics in the signal processing area. By exploiting and promoting the sparsity of the signals of interest, CS offers a new framework for reducing data without compromising the performance of signal recovery, or for enhancing resolution without increasing measurements.

An introductory chapter outlines the fundamentals of sparse signal recovery. The following topics are then systematically and comprehensively addressed: hybrid greedy pursuit algorithms for enhancing radar imaging quality; two-level block sparsity model for multi-channel radar signals; parametric sparse representation for radar imaging with model uncertainty; Poisson-disk sampling for high-resolution and wide-swath SAR imaging; when advanced sparse models meet coarsely quantized radar data; sparsity-aware micro-Doppler analysis for radar target classification; and distributed detection of sparse signals in radar networks via locally most powerful test. Finally, a concluding chapter summarises key points from the preceding chapters and offers concise perspectives.

The book focuses on how to apply the CS-based models and algorithms to solve practical problems in radar, for the radar and signal processing research communities.

Deep Neural Network Design for Radar Applications

Mon, 13 Jul 2020 09:01:30 GMT

Novel deep learning approaches are achieving state-of-the-art accuracy in the area of radar target recognition, enabling applications beyond the scope of human-level performance. This book provides an introduction to the unique aspects of machine learning for radar signal processing that any scientist or engineer seeking to apply these technologies ought to be aware of.

The book begins with three introductory chapters on radar systems and phenomenology, machine learning principles, and optimization for training common deep neural network (DNN) architectures. Subsequently, the book summarizes radar-specific issues relating to the different domain representations in which radar data may be presented to DNNs and synthetic data generation for training dataset augmentation. Further chapters focus on specific radar applications, which relate to DNN design for micro-Doppler analysis, SAR-based automatic target recognition, radar remote sensing, and emerging fields, such as data fusion and image reconstruction.

Edited by an acknowledged expert, and with contributions from an international team of authors, this book provides a solid introduction to the fundamentals of radar and machine learning, and then goes on to explore a range of technologies, applications and challenges in this developing field. This book is also a valuable resource for both radar engineers seeking to learn more about deep learning, as well as computer scientists who are seeking to explore novel applications of machine learning.

In an era where the applications of RF sensing are multiplying by the day, this book serves as an easily accessible primer on the nuances of deep learning for radar applications.

Electromagnetic Reverberation Chambers

Mon, 13 Jul 2020 09:00:20 GMT

This book offers state of the art information about a novel range of applications for electromagnetic reverberation chambers. It is written by international experts in electromagnetic theory, electromagnetic compatibility (EMC), and antenna design and measurement.

For each application area a renowned researcher introduces the general concepts and then describes the recent advances in that field. The following topics are thus addressed in the context of reverberation chambers in the 9 chapters of the book:

Calibration of reverberation chambers with the “well stirred condition” method
Performance assessment of the most popular stirring techniques for broadband tests
Probabilistic model in the context of radiated susceptibility tests
Over-the-air testing of wireless devices
Material absorption and dosimetry for animal exposure
Characterization of antenna efficiency and radiation pattern
Radar cross section estimation

Finally, a concluding chapter identifies and explores some of the exciting developments and open issues that represent emerging trends in reverberation chamber research.

The book is aimed at advanced students and researchers in signal processing, antenna design or EMC who need to know about new applications of reverberation chambers.

Radio Wave Propagation in Vehicular Environments

Mon, 13 Jul 2020 08:57:49 GMT

Providing a unified treatment of radio wave propagation in vehicular environments, this book offers a thorough discussion of their theoretical background and fundamental limits, and paves the way to a better understanding of more advanced topics. Further, the book introduces the newest challenges and problems posed by the ever growing need to communicate in mobile networks whilst in a vehicle.

The book provides an exhaustive survey of current propagation models, setting a theoretical path that will allow practical engineers and researchers to understand and improve existing wireless mobile networks through better understanding of propagation modelling as applied to the vehicular environment.

Chapters are included on wireless channel properties for vehicular environments; modelling and simulation of vehicular communications; intra-vehicle and inter-vehicle short-range wireless channel characterization; vehicular communications channel modelling; and wireless communication system optimization. The book concludes with a chapter exploring applications and case studies.

Radio Wave Propagation in Vehicular Environments is suitable for master's students and above in signal processing and mobile communications courses, as well as researchers working in vehicular communications.

Control of Prosthetic Hands

Mon, 13 Jul 2020 08:56:29 GMT

This edited book brings together research from laboratories across the world, in order to offer a global perspective on advances in prosthetic hand control. State-of-the-art control of prosthetics in the laboratory and clinical spaces are presented and the challenges discussed, and the effect of user training on control of prosthetics to evaluate the translational efficacy and value for the end-user is highlighted.

The book begins with a chapter introducing the fundamental principles, engineering challenges and control solutions for prosthetic hands. Further chapters address methods to design bespoke sockets, magnetomyography, implantable technologies for closed-loop control of prostheses, direct neural control of prostheses via nerve implants as well as user-prosthesis co-adaptation, and two chapters on prosthetics for children. The book concludes with a chapter by Dr Nazarpour on the future of myoelectric prosthetics control, with particular focus on the successful translation of research advances into real clinical gains.

The book is essential reading for anyone involved in research or undertaking advanced courses in prosthetic design and control. It provides an in-depth exploration of this rewarding topic, by exploring technologies with the potential to improve the quality of life of upper-limb prosthetic users.

Lightning-Induced Effects in Electrical and Telecommunication Systems

Thu, 02 Jul 2020 12:45:16 GMT

Power and telecommunications systems are growing increasingly complex. This increases their vulnerability to lightning-related effects.

Due to the high requirements for the reliability of power and telecommunications systems and the associated sensitive equipment, protection against lightning is of paramount importance. Lightning-induced effects are to be quantified in order to assess the risks and design adequate protection. This can be done with the traditional approach, which is based on the transmission-line theory and an electromagnetic-field-to-conductor coupling model, as well as with the advanced numerical techniques, such as the finite difference time-domain (FDTD) method. Interest in the FDTD method is steadily growing because of the availability of software and increased computer capabilities.

This book provides an introduction to the FDTD method and its applications to studies of lightning-induced effects in power and telecommunication systems. It also contains background information on lightning, lightning models, and lightning electromagnetics.

This book is essential reading for electrical engineers and researchers, who are interested in lightning surge protection studies, as well as for senior undergraduate and graduate students specializing in electrical engineering.

Code of Practice for In-service Inspection and Testing of Electrical Equipment, 5th Edition

Fri, 19 Jun 2020 14:18:40 GMT

This is the 5th edition of the IET's Code of Practice for In-service Inspection and Testing of Electrical Equipment.

This Code of Practice provides guidance on in-service inspection and testing to determine whether electrical equipment is safe for continued use. Duty-holders are required by law to consider the risks associated with the use of electrical equipment. The Code underpins the need to conduct inspection and testing of electrical equipment by considering the risks the equipment is exposed to and the environment it is used in, in addition to the skill level of the user. It applies to all workplaces and also some types of rented accommodation.

This 5th Edition reinforces the necessity to establish and conduct appropriate safety checks, taking into account current working practices and legal requirements.

Among some of the changes in this edition are:

the requirements for electrical safety management
guidance on how to conduct a risk assessment
testing needed to ensure safety in continued use
changes to acceptable test result limits and a new hierarchy of tests
inclusion of ES1 and ES2 to reflect the changes to product standards
guidance on the new product classifications
updated standard references
revised model forms.

The core purpose of this Code of Practice is to help achieve high standards of electrical safety and it is recommended reading for all duty-holders responsible for the management of electrical equipment.

Ultra-Wideband Surveillance Radar

Fri, 05 Jun 2020 10:05:55 GMT

Ultra-Wideband Surveillance Radar is an emerging technology for detecting and characterizing targets and cultural features for military and geosciences applications. To characterize objects near and under severe clutter, it is necessary to have fine range and cross range resolution. The resultant wide bandwidth classifies the systems as ultra-wideband, requiring special treatment in system technology and frequency allocation.

This book explores several UWB surveillance radar prototypes, including Hostile Weapons Locator System (HOWLS), Multibeam Modular Surveillance Radar (MMSR), and geoscience synthetic aperture radar (GeoSAR). These prototype radars illustrated the early development of multi-mode capabilities leading to modern radar systems. Based on the results of these prototypes and recent radar technology publications a novel multi-mode, multi-channel radar is presented and analysed.

The book begins with a history of airborne surveillance radar, then goes on to provide systematic and detailed coverage of the following topics and technologies: surveillance radar detection; surveillance radar modes; UWB antennas; ultra-Wideband SAR processing; interferometric radar modes; UWB ground moving target detection; UWB spectrum compliance; and UWB multimode operation.

The first book to cover these new capabilities, this is an important reference for radar engineers, especially those working in geosciences and military applications. It is also relevant to academic and advanced engineering researchers developing new radar technologies and algorithms for image processing, as well as the advanced electromagnetics research community.

Electronic Scanned Array Design

Fri, 05 Jun 2020 10:04:59 GMT

Electronic Scanned Array Design covers the fundamental principles of ESA antennas including basic design approaches and inherent design limitations. These insights enable better appreciation of existing and planned ESA systems including their application to earth observation. The material describes general design principles of aperture antennas applied to the specific case of ESA design.

System applications are discussed to set the framework for requirements allocation and flowdown. Specific examples are cited throughout to relate theory to practice. The book begins by introducing the concept of electronic scanned arrays, giving a brief history of the technology and outlining its scope and applications. Further chapters cover antenna principles; synthetic arrays; antenna figures of merit; mutual coupling effects; errors and tolerances; grating lobes; thinned arrays; beam width and sidelobes; beam shaping and spoiling; reflector applications; design practice; radiating elements; T/R modules; assembly, packaging, power and thermal management; technology base and cost; and ESAs in space. The final chapter offers a comparison between an ESA and a reflector, exploring their benefits, detriments and design trades.

The book will be invaluable for radar and antenna engineers and researchers, and advanced students studying ESA design.

Collection and Delivery of Traffic and Travel Information

Fri, 05 Jun 2020 10:03:48 GMT

Technologies for traffic and travel information (TTI) have been evolving rapidly in recent years. This book offers an overview of three generations of TTI technology, beginning with the first generation of human to human information transmission. The second generation incorporated machine to human information exchange, with the development of classification and transmission protocols such as RDS-TMC and TPEG. A third generation of machine to machine communication is now emerging, disrupting TTI technology and creating the need for this new reference work, which covers gathering information from automated sensors, its digital processing and transmission, and its use by increasingly intelligent agents and vehicles.

The book provides coverage of the following topics, written by a range of experts in their respective fields: road traffic data collection; road traffic news from the air; location referencing; digital coding, collation and exchange of traffic information; European developments in traffic and travel information; the role of the commercial sector in developing road traffic information in the UK and Europe; dynamic road traffic signage; smart motorway information development; contribution of cooperative ITS to road traffic and travel information; multi modal traffic and travel information; social media and traffic and travel information; social media services and business models; and finally traffic and travel information into the future.

Providing essential information to researchers and industry professionals involved with or interested in technologies and organisations that provide or deliver travel information, this book could also be of interest to policymakers needing an overview of the evolution and recent developments of this field, and advanced students of subjects related to telecommunications with an interest in traffic information.

Smart Sensing for Traffic Monitoring

Fri, 05 Jun 2020 10:02:24 GMT

Growth in urbanisation, particularly in emerging economies, is causing increased traffic congestion and affecting environmental conditions in cities. Cities need to manage this growth in traffic in an efficient way. Intelligent infrastructure for traffic monitoring and sensing offers a potential solution, and so this book explores the prospective role of this approach in managing congestion, the established and emerging related technologies, and routes to effective implementation.

Intelligent infrastructure will also play an important role in the future automation of vehicles. Onboard sensor technology is well-established, but higher levels of vehicle automation are difficult to achieve without additional sensing technology on the infrastructure side. Thanks to recent advances in device and software technology, new and innovative approaches to intelligent sensing infrastructure, both fixed and onboard, can be implemented. The development and deployment of automated vehicles is a hot topic, with early versions potentially entering the market within 5-8 years, so as an overview of developments in the field this book is timely and relevant.

The book systematically covers the key elements of intelligent infrastructure. It begins with the architectures and projects in key regions, and then continues with coverage of novel technologies for vehicle, bicycle and pedestrian detection using different kinds of recognition technology. The third part describes technology for detecting traffic conditions such as incidents, illegal parking and adverse weather.

Smart Sensing for Traffic Monitoring offers methodically presented information for researchers, practitioners, and advanced students with an interest in the technologies behind intelligent infrastructure and traffic monitoring.

Green Communications for Energy-Efficient Wireless Systems and Networks

Fri, 05 Jun 2020 10:00:01 GMT

The ICT industry is a major consumer of global energy. The energy crisis, global warming problems, dramatic growth in data traffic and the increased complexity of emerging networks are pushing academic and industry research towards the development of energy-saving and energy-efficient architectures, technologies and networks in order to reduce the carbon footprint while ensuring efficient and reliable communication networks, and environmental sustainability. Attractive solutions for the design and implementation of energy efficient wireless networks and 5G technologies include massive MIMO, non-orthogonal multiple access, and energy harvesting communications. Tools from areas such as machine and deep learning are being investigated to establish optimal approaches and understand fundamental limits. Moreover, new promising heterogeneous and decentralized network architectures and the Internet-of-Things (IoT) will have an impact on the successful implementation of future and next generation green wireless communications.

The aim of this edited book is to present state-of-the art research from theory to practice, and all aspects of green communication methods and technologies for the design of next generation green wireless communication systems and networks. This advanced research title will be of interest to an audience of researchers, engineers, scientists and developers from academia and the industry working in the fields of ICTs, signal processing, networking, power and energy systems, environmental and sustainable engineering, sensing and electronics. It will also be a very useful text for lecturers, postdocs, PhD and masters students researching the design of the next generation wireless communication systems and networks.

Wireless Medical Sensor Networks for IoT-based eHealth

Fri, 05 Jun 2020 09:47:22 GMT

Internet of Things (IoT) enabled technology is evolving healthcare from conventional hub-based systems to more personalized eHealth systems, enabling faster and safer preventive care, lower overall cost, improved patient-centric practice and enhanced sustainability. Efficient IoT-enabled eHealth systems can be realized by providing highly customized access to rich medical information and efficient clinical decisions to each individual with unobtrusive monitoring. Wireless medical sensor networks (WMSNs) are at the heart of this concept, and their development is a key issue if such a concept is to achieve its potential.

This book addresses the major challenges in realizing WMSNs in forthcoming IoT-based eHealth systems. Challenges vary from cost and energy efficiency to security and service quality, and to tackle such challenges WMSNs must meet certain expectations and requirements such as size constraints, manufacturing costs and resistance to environmental factors existing at deployment locations. Reflecting this the book focuses on both design and implementation aspects.

Topics covered include the impact of medical sensor networks in smart-cities; an evaluation of mobile patient monitoring technologies; overview of wireless sensor devices in medical applications; cyber security issues in WMSNs and eHealth; smart hospital rooms and automated systems; medical sensor capabilities in smart cloud networks; swarm intelligence based medical diagnosis systems; and smart systems and device for the blind.