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Welcome to IET Digital Library

The IET Digital Library holds more than 190,000 technical papers from 1994 onwards for all IET journals, magazines, books, conference publications and seminar digests, the IET's member magazine Engineering & Technology, plus seminar digests and conference publications. Find out more about the Digital Library.

Latest Books

image of Bioelectromagnetics in Healthcare: Advanced sensing and communication applications
  • Bioelectromagnetics in Healthcare: Advanced sensing and communication applications
  • Bioelectromagnetics in Healthcare: Advanced sensing and communication applications is a collection of twelve invited chapters from international experts from the UK, Japan, Switzerland, and the United States of America. The book forms a cohesive architecture that covers the state-of-the-art in terms of sensing and communications with relevance to bioelectromagnetics in healthcare. The book provides a valuable insight into the current and future possibilities where electromagnetics engineers will need to keep improving radiofrequency device performance in terms of better efficiency, greater sensitivity, reduced unintended power absorption by the body, smaller size, and lower power consumption.

    Topics covered include dielectric measurements, dosimetry for bioelectromagnetics, phantom recipes for implanted and wearable antenna applications, antennas for implants, electromagnetic coupling in biological media, electromagnetic resonators and metamaterials-based structures for chemical and biological sensing in body-centric wireless applications, bone fracture monitoring using implanted antennas, wearable antennas for sensing, epidermal and conformal electronics, radar for healthcare technology, therapeutic applications of electromagnetic waves, and optoelectronic sensing of physiological monitoring.

    The book is aimed at electromagnetics engineers and advanced students in electromagnetics working on healthcare and medical applications.

image of Smart Health Technologies for the COVID-19 Pandemic: Internet of medical things perspectives
  • Smart Health Technologies for the COVID-19 Pandemic: Internet of medical things perspectives
  • Smart Health Technologies for the COVID-19 Pandemic: Internet of medical things perspectives looks at the role technology has played to monitor, map and fight the global COVID-19 pandemic. Chapters outline risk assessment methodologies and social distancing and infection control technologies in the face of this disease outbreak.

    The applications of Big Data and artificial intelligence in the fight against the spread of COVID-19 are explored in this edited book, as well as advances in early diagnostic testing and remote monitoring systems, and blockchain-based solutions for secure data handling. The implementation of machine learning for reviewing and analysing biomedical data and assisting with drug design is also discussed.

    Emphasising the vital role that intelligent advanced healthcare informatics has played during this crucial time, this book is a valuable resource for researchers in the fields of biomedical engineering, bioengineering, electronics engineering, health informatics, wireless body area networks (WBAN), data analytics, telemedicine, and those in related fields.

image of Industrial Demand Response: Methods, best practices, case studies, and applications
  • Industrial Demand Response: Methods, best practices, case studies, and applications
  • Demand response (DR) describes controlled changes in the power consumption of an electric load to better match the power demand with the supply. This helps with increasing the share of intermittent renewables like solar and wind, thus ensuring use of the generated clean power and reducing the need for storage capacity.

    This book conveys the principles, implementation and applications of demand response. Chapters cover an overview of industrial DR strategies, cybersecurity, DR of industrial customers, price-based demand response, EV, transactive energy, DR with residential appliances, use of machine learning and neural networks, measurement and verification, and case studies in the Aran Islands, as well as a use case of AI and NN in energy consumption markets.

    The chapters have been written by an international team of highly qualified experts from academia as well as industry, ensuring a balanced and practically oriented insight. Readers will be able to develop and apply DR strategies to their respective systems.

    Industrial Demand Response: Methods, best practices, case studies, and applications is a valuable resource for researchers involved with regional as well as industrial power systems, power system engineers, experts at grid operators and advanced students.

image of Applications of Artificial Intelligence in E-Healthcare Systems
  • Applications of Artificial Intelligence in E-Healthcare Systems
  • Increased use of artificial intelligence (AI) is being deployed in many hospitals and healthcare settings to help improve health care service delivery. Machine learning (ML) and deep learning (DL) tools can help guide physicians with tasks such as diagnosis and detection of diseases and assisting with medical decision making.

    This edited book outlines novel applications of AI in e-healthcare. It includes various real-time/offline applications and case studies in the field of e-Healthcare, such as image recognition tools for assisting with tuberculosis diagnosis from x-ray data, ML tools for cancer disease prediction, and visualisation techniques for predicting the outbreak and spread of Covid-19.

    Heterogenous recurrent convolution neural networks for risk prediction in electronic healthcare record datasets are also reviewed.

    Suitable for an audience of computer scientists and healthcare engineers, the main objective of this book is to demonstrate effective use of AI in healthcare by describing and promoting innovative case studies and finding the scope for improvement across healthcare services.

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image of Fusion-Fission Hybrid Nuclear Reactors: For enhanced nuclear fuel utilization and radioactive waste reduction
  • Fusion-Fission Hybrid Nuclear Reactors: For enhanced nuclear fuel utilization and radioactive waste reduction
  • Nuclear energy is contributing to the long-term solution to stave off climate change. However, current nuclear fission technology accesses only about 1-3% of the nuclear energy content of natural uranium, which is inefficient, and also creates a radioactive waste disposal problem.

    Combining nuclear fission technology with emerging nuclear fusion technology to create a fusion-fission hybrid would yield extra fusion neutrons to 1) convert much more of the uranium into fissionable material, which would increase efficient utilization of the nuclear fuel resource, and 2) significantly reduce (by fission) the most long-lived radioactive nuclear waste.

    This book describes fusion-fission hybrid physics and technology. The first parts briefly review nuclear fission principles and describe design and safety of nuclear fission reactors; then the fundamentals of nuclear fusion and fusion reactor concepts are described, together with ongoing and future challenges and anticipated developments in this not-yet matured technology. Chapters cover the scientific basis of nuclear fission and the fission fuel cycle, advanced fission reactors, safety aspects, the scientific and technological basis of nuclear fusion power, future improvements expected, and then the fusion-fission hybrid (FFH) breeder and burner reactor concept principles, with illustrative FFH design concepts, safety analyses, and examples of the use of fusion neutrons for helping to achieve burning and breeding fission fuel cycles.

    This concise work is essential reading for researchers and policy makers in nuclear energy research and engineering, including advanced students.

image of Wireless Mesh Networks for IoT and Smart Cities: Technologies and applications
  • Wireless Mesh Networks for IoT and Smart Cities: Technologies and applications
  • Wireless mesh networks (WMNs) are wireless communication networks organized in a mesh topology with radio capabilities. These networks can self-form and self-heal and are not restricted to a specific technology or communication protocol. They provide flexible yet reliable connectivity that cellular networks cannot deliver. Thanks to technological advances in machine learning, software defined radio, UAV/UGV, big data, IoT and smart cities, wireless mesh networks have found much renewed interest for communication network applications.

    This edited book covers state of the art research innovations and future directions in this field. WMNs offer attractive communication solutions in difficult environments such as emergency situations, battlefield surveillance, field operations, disaster recovery, tunnels, oil rigs, high-speed mobile-video applications on board transport, VoIP, and self-organizing internet access for communities. The main topics covered include BLL-based mesh networks, body sensor networks, seamless IoT mobile sensing through Wi-Fi mesh networking, software defined radio for wireless mesh networks, UAV-to-ground multi-hop communication using backpressure and FlashLinQ-based algorithms, unmanned aerial vehicle relay networks, multimedia content delivery in wireless mesh networking, adaptive fuzzy agents in big data and multi-sensor environments and AI-aided resource sharing for WMNs.

    This is a useful reference for ICT networking engineers, researchers, scientists, engineers, advanced students and lecturers in both academia and industry working on wireless communications and WMNs. It is also relevant to developers, designers and manufacturers of WMNs and wireless sensor networks (WSNs); and scientists and engineers working on applications of WNNs and WSNs.

image of Enabling Technologies for Social Distancing: Fundamentals, concepts and solutions
  • Enabling Technologies for Social Distancing: Fundamentals, concepts and solutions
  • The latest advances in several emerging technologies such as AI, blockchain, privacy-preserving algorithms used in localization and positioning systems, cloud computing and computer vision all have great potential in facilitating social distancing. Benefits range from supporting people to work from home to monitoring micro- and macro- movements such as contact tracing apps using Bluetooth, tracking the movement and transportation level of a city and wireless positioning systems to help people keep a safe distance by alerting them when they are too close to each other or to avoid congestion. However, implementing such technologies in practical scenarios still faces various challenges.

    This book aims to lay the foundations of how these technologies could be adopted to realize and facilitate social distancing to better manage pandemics and future outbreaks. Starting with basic concepts, models and practical technology-based social distancing scenarios, the authors present enabling wireless technologies and solutions which could be widely adopted to encourage social distancing. They include symptom prediction, detection and monitoring of quarantined people and contact tracing. In the future, smart infrastructures for next-generation wireless systems should incorporate a pandemic mode in their standard architecture and design.

image of Metasurface Electromagnetics: The Cagniard-DeHoop time-domain approach
  • Metasurface Electromagnetics: The Cagniard-DeHoop time-domain approach
  • The book is entirely dedicated to the exploration of time-domain electromagnetic fields in the presence of thin, high contrast sheets, with an emphasis on metasurfaces combining magnetic and dielectric properties.

    Since the number of problems that are amenable to exact solutions in terms of analytic functions is limited, the book's analysis is not restricted to analytical methods only, attention is paid to the development of computational and approximate techniques too. All the solution methodologies presented in the book heavily rely on the Cagniard-DeHoop technique. Regrettably, perhaps because of its origins in seismology, this powerful mathematical tool is still not fully appreciated in the electromagnetics and antenna community. It is hoped that this book will demonstrate the truly broad applicability of the Cagniard-DeHoop technique to achieving both analytical and numerical time-domain solutions. The book is for advanced researchers in computational electromagnetics and those looking for new approaches to modelling of metasurfaces.

    The book also includes a foreword from Professor Adrianus T. de Hoop, the originator of the Cagniard-DeHoop technique, who ingeniously simplified a joint transform initially put forward by the French geophysicist Cagniard.

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