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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 Human Machine Collaboration and Interaction for Smart Manufacturing: Automation, robotics, sensing, artificial intelligence, 5G, IoTs and Blockchain
  • Human Machine Collaboration and Interaction for Smart Manufacturing: Automation, robotics, sensing, artificial intelligence, 5G, IoTs and Blockchain
  • Advanced technologies such as robotics, 5G mobile communications, IoT, cloud computing and wireless sensor networks have had a huge impact and influence on manufacturing, with an increased collaboration between humans and smart systems. As the manufacturing process becomes more automated using real-time data, communication systems, Artificial Intelligence (AI) techniques and robotics feed data back into the manufacturing process. This enables the design of products that are more customized and personal, and leads to a more competitive, efficient and value-added production process by reacting more quickly to technical or human errors to avoid product and system damage while increasing workplace safety, and reducing waste, pollution, and associated costs.

    This edited book covers challenges, concepts, systems, architectures, technologies, and design characteristics of human-machine cooperation and interaction systems in smart manufacturing environments using state of the art technologies including AI, 5G, IoTs, Blockchains, CPS, sensing, automation and robotics.

    The book is aimed at researchers and engineers working on the applications of robotics and automation, HMI, HCI, CPS, sensing, information and communications technology, data science, ML/DL/AI, AR/VR, cybersecurity and electronics. It is also a useful reference for advanced students and lecturers in these fields, and will appeal to manufacturers and automation system developers.

image of Blockchain Technology for Smart Grids: Implementation, management and security
  • Blockchain Technology for Smart Grids: Implementation, management and security
  • Smart grids with distributed clean energy generation, storage and prosumers are the future of energy systems. They need two-way digital communication between multiple customers and suppliers of energy, to produce, buy and sell electricity to the grid at small scales. These arrangements need a system that maintains, checks, and registers information about transactions.

    Blockchain technology is able to handle these requirements with smart contracts, peer-to-peer energy trading and immutable transactions. A blockchain is a digital ledger of transactions that can be accessed across the entire network of computer systems. Combined with sensors to track energy flows, blockchain can enable the smart grid.

    After an introduction to blockchain, chapters cover integration with IoT, IoT- and blockchain-enabled smart grids, use of sensors, security and privacy, use of machine and deep learning, energy storage and transaction, as well as use of cryptocurrencies for transactions.

    Written by an international team with the necessary multi-disciplinarity, this work for researchers in power systems as well as economists with related interests covers the use of blockchain technology for smart grids.

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.

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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.

image of Control and Estimation of Dynamical Nonlinear and Partial Differential Equation Systems: Theory and applications
  • Control and Estimation of Dynamical Nonlinear and Partial Differential Equation Systems: Theory and applications
  • Robotic and mechatronic systems, autonomous vehicles, electric power systems and smart grids, as well as manufacturing and industrial production systems can exhibit complex nonlinear dynamics or spatio-temporal dynamics which need to be controlled to ensure good functioning and performance.

    In this comprehensive reference, the authors present new and innovative control and estimation methods and techniques based on dynamical nonlinear and partial differential equation systems. Such results can be classified in five main domains for the control of complex nonlinear dynamical systems using respectively methods of approximate (local) linearization, methods of exact (global) linearization, Lyapunov stability approaches, control and estimation of distributed parameter systems and stochastic estimation and fault diagnosis methods.

    Control and Estimation of Dynamical Nonlinear and Partial Differential Equation Systems: Theory and applications will be of interest to electrical engineering, physics, computer science, robotics and mechatronics researchers and professionals working on control problems, condition monitoring, estimation and fault diagnosis and isolation problems. It will also be useful to skilled technical personnel working on applications in robotics, energy conversion, transportation and manufacturing.

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.

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