2022

Principles of Modern Radar (e-book)

Wed, 08 Feb 2023 14:40:37 GMT

This e-book is available through our third party provider, VitalSource. Once you have completed your purchase, details of how to download and access your package will be sent to you following your order confirmation. Please note, this may take up to 24 hours.

The second edition of Principles of Modern Radar Volume 1: Basic Principles is a comprehensive textbook for courses on radar systems and technology at the college senior and graduate student level. It is also a professional training and self-study textbook for engineers switching to a career in radar as well as a professional reference for current radar engineers. It is unique in its breadth of coverage, its emphasis on current methods and its careful balance of qualitative explanation and quantitative rigor appropriate to its intended audience.

The book focuses on four key areas:

Basic concepts such as the radar range equation and threshold detection.
Radar signal phenomenology, such as radar cross section models, clutter echo, atmospheric effects and Doppler effects.
Descriptions of all the major subsystems of modern radars such as the antenna, transmitter, and receiver, and including modern architectural elements such as exciters and advanced signal processors.
Signal and data processing techniques, from digital signal processing fundamentals to detection, Doppler processing, waveforms and pulse compression, basic imaging concepts and measurement and tracking fundamentals.

The popular first edition of Principles of Modern Radar has been completely updated to remain current with new developments in radar hardware technology, signal processing and applications, while maintaining its focus on timeless basic principles.

Blockchain Technology in e-Healthcare Management

Mon, 06 Feb 2023 08:54:18 GMT

The healthcare arena has seen a shift in recent years, with more healthcare provisions being delivered or managed via electronic means. Healthcare providers can now provide patients with diagnosis, treatment, monitoring, or a prescription without ever sharing the same physical space. With so much more patient data now stored and accessed electronically, the security of this information is ever more critical to the delivery of effective and efficient healthcare services. As blockchains are resistant to modification of their data, blockchain technology therefore provides traceable and reliable security to e-Healthcare systems and services.

Introducing the fundamentals of blockchain technology and discussing its applications in the e-Healthcare sphere, the editors highlight recent research and development in blockchain technology, specifically in healthcare environments such as e-healthcare records and data security, health insurance management and fraud detection, pharmaceutical supply chain management and drug traceability, and IoT enabled patient monitoring. Including a case study on managing e-Healthcare data the editors also explore the challenges and future directions of using blockchain technology in delivering and managing e-Healthcare provision.

Written by a range of international experts, the book will be of interest to researchers and academics in information security, data scientists, and healthcare professionals/administrators with responsibility for e-Healthcare records.

Technology-Enabled Motion Sensing and Activity Tracking for Rehabilitation

Mon, 06 Feb 2023 08:53:21 GMT

Documenting how technology has been increasingly facilitating rehabilitation both for physical and mental health, this book focuses on sensing and measurement technologies for rehabilitation applications.

The author introduces various motion sensing technologies, such as inertial measurement units, pressure sensing, e-Textile, and vision-based motion sensing and discusses the applications in at-home rehabilitation scenarios. Common human motion recognition algorithms, ranging from simple single-parameter determination, such as the determination of range of motion in terms of angles, to sophisticated rule-based and machine-learning based activity recognition algorithms are explored, laying the foundation for adopting and understanding these technologies in rehabilitation.

Interactive games illustrate how technology can help rehabilitation beyond assessment, invigorating the rehabilitation programs, and engaging patients in their own recovery journey via computer screens or virtual reality interfaces to provide real-time feedback on the quality and quantity of the physical activity performed. This serious game technology enables more accurate and consistent assessment of the quality of rehabilitation exercises done by the patients. The author looks at many patient populations (such as recovery from stroke, COPD, MS, or surgery) and many rehabilitation scenarios (such as upper extremity, lower extremity, posture, hand, gait and activities of daily living).

Professionals and researchers in the field of rehabilitation technology engineering and related areas will find this book a valuable tool in navigating multidisciplinary work on healthcare technology and health science.

Applications of Machine Learning in Digital Healthcare

Mon, 06 Feb 2023 08:52:00 GMT

Machine learning algorithms are increasingly finding applications in the healthcare sector. Whether assisting a clinician to process an individual patient's data or helping administrators view hospital bed turnover, the volume and complexity of healthcare data is a compelling reason for the development of machine learning based tools to aid in its interpretation and use.

This edited book focuses on the applications of machine learning in the healthcare sector, both at the macro-level for guiding policy decisions, and at the granular level, showing how ML techniques can be applied to process an individual patient's medical data to swiftly aid diagnosis.

Written by an international team of experts, the book presents several applications of machine learning in the healthcare sector, including health system planning, optimisation and preparedness, outlining the benefits and challenges of coordination and data sharing. Machine learning has many applications in processing patient data and topics such as arrhythmia detection, image-guided microsurgery and early detection of Alzheimer's disease are discussed in depth. The book also looks at machine learning applications exploiting wearable sensors for real-time analysis and concepts around enhancing physical performance.

Suitable for an audience of computer scientists, healthcare engineers and those involved with digital medicine, this book brings together a plethora of machine learning applications from across the board of the healthcare services.

Charge Acceleration and the Spatial Distribution of Radiation Emitted by Antennas and Scatterers

Mon, 09 Jan 2023 15:48:17 GMT

Given that charge acceleration is the cause of all electromagnetic radiation, the question arises about where such acceleration occurs on objects typically modelled and analysed by electromagnetic engineers. Charge acceleration, as the cause of radiation from these typical kinds of objects (antennas, radars etc) is examined in this book on a quantitative basis.

The book describes new ways of modelling the actual distribution of EM radiation waves from its various sources. Unlike other books on EM it focuses on radiation, a fundamental property of electromagnetic fields, it does not follow the usual analytical kind of approach to be found in a book on electromagnetics. Rather than developing and presenting a formal theoretical foundation of electromagnetic theory, this book instead focuses on various aspects of EM radiation from a variety of perspectives.

The goal is to provide the reader with computational tools for determining quantitatively why and where radiation is emitted by antennas and scatterers. This is a unique approach which is of wide interest to the EM theoretical community.

Applications of Deep Learning in Electromagnetics

Mon, 09 Jan 2023 15:47:40 GMT

Deep learning has started to be applied to solving many electromagnetic problems, including the development of fast modelling solvers, accurate imaging algorithms, efficient design tools for antennas, as well as tools for wireless links/channels characterization. The contents of this book represent pioneer applications of deep learning techniques to electromagnetic engineering, where physical principles described by the Maxwell's equations dominate. With the development of deep learning techniques, improvement in learning capacity and generalization ability may allow machines to "learn" from properly collected data and "master" the physical laws in certain controlled boundary conditions. In the long run, a hybridization of fundamental physical principles with knowledge from training data could unleash numerous possibilities in electromagnetic theory and engineering that used to be impossible due to the limit of data information and ability of computation.

Electromagnetic applications of deep learning covered in the book include electromagnetic forward modeling, free-space inverse scattering, non-destructive testing and evaluation, subsurface imaging, biomedical imaging, direction of arrival estimation, remote sensing, digital satellite communications, imaging and gesture recognition, metamaterials and metasurfaces design, as well as microwave circuit modeling.

Applications of Deep Learning in Electromagnetics contains valuable information for researchers looking for new tools to solve Maxwell's equations, students of electromagnetic theory, and researchers in the field of deep learning with an interest in novel applications.

Guidance Framework for Competence Management (e-book)

Wed, 14 Dec 2022 09:11:00 GMT

Competence involves much more than technical training; it includes a person's attitude and behaviour, as well as their experience and knowledge, and it's hugely important to all engineering organisations and those involved in engineering projects. Employing the right people, safety considerations, winning tenders, having effective succession plans, and identifying training needs and promotion opportunities are all drivers for having a strong competence scheme in place.

This guide provides a framework for a Competence Management System (CMS) that's simple and has a focus on practicable implementation. The guidance is aimed at all enterprises involving activities associated with engineering disciplines such as design, installation, operation, maintenance, manufacture, inspection, testing and training. The framework has been designed to allow adaptation to meet the specific requirements of individual organisations or projects.

Digital Technologies for Solar Photovoltaic Systems

Wed, 07 Dec 2022 10:30:44 GMT

The rising share of photovoltaic (PV) energy requires sophisticated digital techniques for control, monitoring and integration with the grid. In remote areas, where no trained personnel might be nearby to intervene, such technologies are vital to ensure reliability and power quality, and to harness the solar potential of these locations. Moreover, tracking is necessary for moveable systems. Digital technologies can be used to enable and augment the use of PV energy in the grid, as well as for desalination, water pumping and hydrolysis.

Digital Technologies for Solar Photovoltaic Systems: From general to rural and remote installations focuses on the latest research and developments in PV energy system operation and integration. It provides extensive coverage of R&D to overcome critical limitations to the use of remote PV systems.

Chapters cover phase-shifting transformers, grid-connected PV micro-inverter, distribution automation, PV powered water pumping, maximum power point tracking and solar tracking, soiling effects and measurement, cleaning methods, IoT based PV module cooling and cleaning, control of energy storage, and energy management.

This book is a highly useful reference guide for researchers, designers, operators, and experts involved with PV systems, as well as for graduate students.

Integrated Motor Drives

Wed, 07 Dec 2022 10:30:06 GMT

To optimise the efficiency of electric drives it is necessary to consider the components; the power electronic converter, the electric machine and the gearbox, together. Integrated systems can be smaller and have better flexibility and thermal management. Integrated motor drives (IMDs) specifically offer advantages including lower cost of installation and higher power density. This integration concept has been adopted in various electrical machine drive systems as well as electric vehicles.

Integrated Motor Drives presents the state of research and future trends in integrated electrical motor drive technology and helps readers fill gaps in their knowledge. Chapters cover electrical machines, power converters and control techniques, adoption of wide bandgap semiconductor switching devices, thermal management, passive devices, gearboxes, research prototypes and commercial products, as well as emerging technologies and needs.

This book for electrical motor drive engineers and researchers in academia and industry, as well as advanced students and experts, is systematically written by members from leading working groups. Close collaboration between chapter authors improves cohesion and usability for advanced students.

Digital Twin Technologies for Healthcare 4.0

Wed, 07 Dec 2022 10:28:52 GMT

In healthcare, a digital twin is a digital representation of a patient or healthcare system using integrated simulations and service data. The digital twin tracks a patient's records, crosschecks them against registered patterns and analyses any diseases or contra indications. The digital twin uses adaptive analytics and algorithms to produce accurate prognoses and suggest appropriate interventions. A digital twin can run various medical scenarios before treatment is initiated on the patient, thus increasing patient safety as well as providing the most appropriate treatments to meet the patient's requirements.

Digital Twin Technologies for Healthcare 4.0 discusses how the concept of the digital twin can be merged with other technologies, such as artificial intelligence (AI), machine learning (ML), big data analytics, IoT and cloud data management, for the improvement of healthcare systems and processes. The book also focuses on the various research perspectives and challenges in implementation of digital twin technology in terms of data analysis, cloud management and data privacy issues.

With chapters on visualisation techniques, prognostics and health management, this book is a must-have for researchers, engineers and IT professionals in healthcare as well as those involved in using digital twin technology, AI, IoT and big data analytics for novel applications.

Lightning Electromagnetics, 2nd Edition

Mon, 05 Dec 2022 13:46:25 GMT

Lightning is important for all scientists and engineers involved with electric installations. It is gaining further relevance since climate warming is causing an increase in lightning strikes, and since the rising numbers of renewable power generators, the electricity grid, and charging infrastructure are susceptible to lightning damage. This is the second edition to this comprehensive work.

Both volumes have been thoroughly revised and updated for this second edition. Volume 1 treats lightning return stroke modelling and lightning electromagnetic radiation, and Volume 2 addresses electrical processes and effects. Chapter coverage includes various models and simulations of lightning strokes, measurements of lightning-generated EM fields, HF, VHF and microwave radiation, and lightning location systems; atmospheric discharge processes, lightning strikes to grounded structures and towers, EM field propagation, interaction with cables, effects on power transmission and distribution systems, effects in the ionosphere, mesosphere and magnetosphere, as well as NO_x generation and climate effects. The volumes provide the rules and procedures to combine the readers' understanding with a model of every lightning-related electromagnetic process, and their effects and interactions. Readers obtain first-hand experience through simulations of the EM field of thunderclouds and lightning flashes and their effects.

These volumes are a valuable resource for researchers and engineers in the areas of electrical engineering and physics involved in the fields of electromagnetic compatibility, lightning protection, renewable energy systems, smart grids, and lightning physics, as well as for professionals from telecommunication companies and manufacturers of power equipment, and advanced students.

Lightning Electromagnetics, 2nd Edition

Mon, 05 Dec 2022 13:45:22 GMT

Code of Practice for Grid-connected Solar Photovoltaic Systems, 2nd Edition (e-book)

Tue, 22 Nov 2022 11:35:51 GMT

This e-book is available through the IET's digital Wiring Regulations platform. Once you have completed your purchase, details of how to download and access your package will be sent to you following your order confirmation. Please note, this may take up to 24 hours.

This Code of Practice sets out the requirements for the design, specification, installation, commissioning, operation, and maintenance of grid-connected solar photovoltaic (PV) systems.

Key safety considerations in the protection and earthing of PV systems mounted on buildings and on the ground is covered in detail. It also contains requirements for commissioning, monitoring and maintenance throughout the lifetime of an installation. It is an invaluable resource for technicians and supervisors who may be responsible for overseeing solar PV systems deployment.

This second edition provides updated information to ensure that a solar PV system is designed, competently installed and safe to operate in compliance with current national and international standards - including alignment to BS 7671:2018+A2:2022 and other relevant industry standards.

Physical Layer Security for Wireless Sensing and Communication

Mon, 07 Nov 2022 14:02:37 GMT

Wireless physical layer (PHY) security has attracted much attention due to the broadcast nature of the wireless medium and its inherent vulnerability to eavesdropping, jamming, and interference.

Physical Layer Security for Wireless Sensing and Communication covers both communication and sensing security from a broad perspective. The main emphasis is on PHY security, although other security measures are covered for the sake of completeness and as a step towards cross-layer security and cognitive security vision. After discussing the features of wireless channels from both the communication and sensing perspectives, the book details their exploitation for secure transmission utilizing various approaches. Wireless sensing and radio environment concepts are also addressed, along with the related security implications in terms of eavesdropping, disruption, manipulation, and, in general, the exploitation of wireless sensing by unauthorised users. Several solutions for these threats from the domains of wireless communication, military radars, and machine learning, are discussed.

The book provides valuable information to researchers in academia and industry, as well as engineers, developers, and advanced students in the field of cybersecurity.

AIoT Technologies and Applications for Smart Environments

Mon, 07 Nov 2022 14:01:06 GMT

Although some IoT systems are built for simple event control where a sensor signal triggers a corresponding reaction, many events are far more complex, requiring applications to interpret the event using analytical techniques to initiate proper actions. Artificial intelligence of things (AIoT) applies intelligence to the edge and gives devices the ability to understand the data, observe the environment around them, and decide what to do best with minimum human intervention. With the power of AI, AIoT devices are not just messengers feeding information to control centers. They have evolved into intelligent machines capable of performing self-driven analytics and acting independently. A smart environment uses technologies such as wearable devices, IoT, and mobile internet to dynamically access information, connect people, materials and institutions, and then actively manages and responds to the ecosystem's needs in an intelligent manner.

In this edited book, the contributors present challenges, technologies, applications and future trends of AIoT in realizing smart and intelligent environments, including frameworks and methodologies for applying AIoT in monitoring devices and environments, tools and practices most applicable to product or service development to solve innovation problems, advanced and innovative techniques, and practical implementations to enhance future smart environment systems. Chapters cover a broad range of applications including smart cities, smart transportation and smart agriculture.

This book is a valuable resource for industry and academic researchers, scientists, engineers and advanced students in the fields of ICTs and networking, IoT, AI and machine and deep learning, data science, sensing, robotics, automation and smart technologies and smart environments.

Power Electronics for Next-Generation Drives and Energy Systems

Mon, 10 Oct 2022 08:47:17 GMT

Power electronics converters are devices that change parameters of electric power, such as voltage and frequency, as well as between AC and DC. They are essential parts of both advanced drives, for machines and vehicles, and energy systems to meet required flexibility and efficiency criteria. In energy systems both stationary and mobile, control and converters help ensure reliability and quality of electric power supplies.

This reference in two volumes is useful reading for scientists and researchers working with power electronics, drives and energy systems; manufacturers developing power electronics for advanced applications; professionals working in the utilities sector; and for advanced students of subjects related to power electronics.

Volume 1 covers converters and control for drives, while Volume 2 addresses clean generation and power grids. The chapters enable the reader to directly apply the knowledge gained to their research and designs. Topics include reliability, WBG power semiconductor devices, converter topology and their fast response, matrix and multilevel converters, nonlinear dynamics, AI and machine learning. Robust modern control is covered as well. A coherent chapter structure and step-by-step explanation provide the reader with the understanding to pursue their research.

Power Electronics for Next-Generation Drives and Energy Systems

Mon, 10 Oct 2022 08:45:48 GMT

Fundamentals of Inertial Navigation Systems and Aiding

Mon, 10 Oct 2022 08:41:31 GMT

The aim of this book is to provide an advanced introduction to inertial data processing (determination of attitude, velocity and position) along with design architectures and algorithms used to aid the inertial navigation system (INS). The emphasis is on the high-end sensors and systems used in aerospace applications (known as 'navigation grade' or 'nav grade').

The subject of inertial navigation systems and how to aid them (reduce their inherent error drift) is complex and multi-disciplinary. Mathematics and physics along with electrical, mechanical and software engineering all are involved. This book has been written to serve as an introduction for students and those new to the field. Specialized topics such as rotation matrices, quaternions and relevant stochastic processes are covered in the book. The reader is expected to have a basic understanding of vectors, matrices and matrix multiplication as well as freshman-level differential and integral calculus.

The basics of inertial position/velocity/attitude updating are first presented with respect to a conceptually simple inertially-fixed reference frame before the impact of the spheroidal rotating earth is covered. Similarly, the key concepts of the Kalman filter are first presented in the context of a scalar filter. Important aspects of the prediction error covariance and Kalman gain equations are thus covered in an intuitive sense before the full matrix formulations are described. By the end of the book, a thorough treatment of modern aided-INS architectures is provided.

Code of Practice for Grid-connected Solar Photovoltaic Systems, 2nd Edition

Thu, 29 Sep 2022 10:18:12 GMT

This Code of Practice sets out the requirements for the design, specification, installation, commissioning, operation, and maintenance of grid-connected solar photovoltaic (PV) systems.

Applications of Machine Learning and Data Analytics Models in Maritime Transportation

Tue, 13 Sep 2022 10:35:06 GMT

Machine learning and data analytics can be used to inform technical, commercial and financial decisions in the maritime industry. Applications of Machine Learning and Data Analytics Models in Maritime Transportation explores the fundamental principles of analysing maritime transportation related practical problems using data-driven models, with a particular focus on machine learning and operations research models.

Data-enabled methodologies, technologies, and applications in maritime transportation are clearly and concisely explained, and case studies of typical maritime challenges and solutions are also included. The authors begin with an introduction to maritime transportation, followed by chapters providing an overview of ship inspection by port state control, and the principles of data driven models. Further chapters cover linear regression models, Bayesian networks, support vector machines, artificial neural networks, tree-based models, association rule learning, cluster analysis, classic and emerging approaches to solving practical problems in maritime transport, incorporating shipping domain knowledge into data-driven models, explanation of black-box machine learning models in maritime transport, linear optimization, advanced linear optimization, and integer optimization. A concluding chapter provides an overview of coverage and explores future possibilities in the field.

The book will be especially useful to researchers and professionals with expertise in maritime research who wish to learn how to apply data analytics and machine learning to their fields.