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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 Digital Methods and Tools to Support Healthy Ageing
  • Digital Methods and Tools to Support Healthy Ageing
  • While digital transformations are happening in all walks of society and business, there is real potential for improving the quality of life of the elderly using digital methods and tools. This book evolved from a recent multi-country and multi-disciplinary initiative called Digital Health for the Ageing Population. This project (2019-2021) aimed to promote the general awareness of digital health for the ageing population with collaborative research across several countries including Australia, Bangladesh, China, India, Japan, Norway, The Netherlands, and USA.Digital health promises to deliver better healthcare quality cost-efficiently to more people, especially in the case of lifestyle diseases such as diabetes. It will achieve this by combining the benefits of telehealth, eHealth, data-driven personalised healthcare, and evidence-based care. This book presents a discussion of evolving digital technologies, such as smart phones and assisted living, and innovative digitally based services that are helping improve the quality and cost of healthcare for the elderly.With its international scope and detailed coverage of relevant digital methods and tools, this book will benefit healthcare technologists, ICT developers, managers of healthcare and mobile healthcare projects, and academic researchers working in related fields.

image of Driving Simulators for the Evaluation of Human-Machine Interfaces in Assisted and Automated Vehicles
  • Driving Simulators for the Evaluation of Human-Machine Interfaces in Assisted and Automated Vehicles
  • Driving Simulators for the Evaluation of Human-Machine Interfaces in Assisted and Automated Vehicles is a concise reference work on driving simulators, which conveys the technology behind simulator systems used to test driver assistance systems and automated vehicles, including electric vehicles. Coverage includes architecture, computer graphics, evaluation parameters and applied examples. A driving simulator is a device that has the function of presenting similar visual, auditory and force perceptions to those experienced during driving, creating the illusion that the driver is driving an actual car. The advantage of tests using a driving simulator is that it can reproduce dangerous traffic situations and tests safely. Driving simulators are also valuable in research and development into intelligent driving systems, allowing for testing and evaluation in a simulation environment rather than on the road. With its concise selection of relevant material and applied focus, this book will be of use to research and development professionals in industry and academic researchers whose work involves automotive systems and technologies in general, and particularly those working on driving simulators and automated driving.

image of Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches: Fundamentals, technologies and applications
  • Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches: Fundamentals, technologies and applications
  • Computer vision is an interdisciplinary scientific field that deals with how computers obtain, store, interpret and understand digital images or videos using artificial intelligence based on neural networks, machine learning and deep learning methodologies. They are used in countless applications such as image retrieval and classification, driving and transport monitoring, medical diagnostics and aerial monitoring. Written by a team of international experts, this edited book covers the state-of-the-art of advanced research in the fields of computer vision and recognition systems from fundamental concepts to methodologies and technologies and real world applications including object detection, biometrics, Deepfake detection, sentiment and emotion analysis, traffic enforcement camera monitoring, vehicle control and aerial remote sensing imagery. The book will be useful for industry and academic researchers, scientists and engineers in the fields of computer vision, machine vision, image processing and recognition, multimedia, AI, machine and deep learning, data science, biometrics, security, and signal processing. It will also make a great course reference for advanced students and lecturers in these fields of research.

image of Privacy by Design for the Internet of Things: Building accountability and security
  • Privacy by Design for the Internet of Things: Building accountability and security
  • Privacy by design is a proactive approach that promotes privacy and data protection compliance throughout project lifecycles when storing or accessing personal data. Privacy by design is essential for the Internet of Things (IoT) as privacy concerns and accountability are being raised in an increasingly connected world. What becomes of data generated, collected or processed by the IoT is clearly an important question for all involved in the development, manufacturing, applications and use of related technologies. But this IoT concept does not work well with the 'big data' trend of aggregating pools of data for new applications. Developers need to address privacy and security issues and legislative requirements at the design stage, and not as an afterthought. In this edited book, the authors draw on a wealth of interdisciplinary research to delineate the challenges of building accountability into the Internet of Things and solutions for delivering on this critical societal challenge. This advanced book brings together legal-tech scholars, computer scientists, human computer interaction researchers and designers, and social scientists to address these challenges and elaborate solutions. It articulates the accountability principle in law and how it impacts IoT development, presents empirical studies of accountability in action and its implications for IoT development, brings technological responses to the requirements of GDPR and ways of building accountability into the IoT, and covers compliant IoT application development, privacy-preserving data analytics, human-centred IoT security, human-data interaction, and the methodological challenge of understanding and responding to the adoption of future technologies in everyday life.

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image of Emerging CMOS Capacitive Sensors for Biomedical Applications: A multidisciplinary approach
  • Emerging CMOS Capacitive Sensors for Biomedical Applications: A multidisciplinary approach
  • CMOS-based sensors offer significant advantages to life science applications, such as non-invasive long-term recordings, fast responses and label-free processes. They have been widely applied in many biological and medical fields for the study of living cell samples such as neural cell recording and stimulation, monitoring metabolic activity, cell manipulation, and extracellular pH monitoring. Compared to other sensing techniques, capacitive sensors are low-complexity, high-precision, label-free sensing methods for monitoring cellular activities such as cell viability, proliferation and morphology. The development of capacitive sensors for use in life sciences requires thorough knowledge of both the intended biological applications and CMOS circuitry. This book addresses the principles, design, implementation and testing, and packaging of CMOS circuits for these applications. Existing applications, markets, and potential future developments are also covered, plus the relevant biological protocols. Emerging CMOS Capacitive Sensors for Biomedical Applications provides information and guidance for researchers and advanced students in the field of microelectronics who are looking to specialise in biological applications. It is also relevant to academic and industrial researchers already working in the biosensors field, who wish to expand their knowledge and keep abreast of new developments.

image of Offshore Wind Power Reliability, availability and maintenance
  • Offshore Wind Power Reliability, availability and maintenance
  • The development of offshore wind power has become a pressing energy issue, driven by the need to find new electrical power sources and to reduce the use of fossil fuels. Offshore wind farms can harness tremendous wind resources without annoying citizens and with a comparatively low environmental impact. They are thus becoming a central pillar of a carbon free energy system. However offshore turbines and wind farms are costly to install and maintain, making reliability and cost-effectiveness key issues. This work covers reliability of offshore wind farms as a whole, starting from weather and wind conditions, dealing with wind turbine technology, farm layout, monitoring, safety and maintenance. The thoroughly revised second edition additionally covers turbines of up to 10 MW, turbine design changes, turbine converters, HVDC converter stations and DC links, offshore sub-sea collector and export cables, and the structures supporting large offshore wind farms. Offshore Wind Power is essential reading for scientists, engineers, technicians and advanced students interested or engaged in the design of wind turbines, drivetrain technology and power mechatronics, in academia and industry.

image of Radar Countermeasures for Unmanned Aerial Vehicles
  • Radar Countermeasures for Unmanned Aerial Vehicles
  • Over the last ten years, the numbers of unmanned air vehicles (UAVs) or "drones" have changed from being just a few specialist systems, used for scientific data gathering and military purposes, to them proliferating in huge numbers. They are used across a broad range of different leisure, commercial and military activities. UAVs can be used for: movement of items in factories for manufacturing, passenger and freight transportation, can take various roles in the agriculture and forestry industries (dispensing seeds, watering and monitoring crops), remote sensing for the oil and gas industries, traffic flow monitoring, support of emergency services, hobbies, security, military and many other applications. The expansion in the use of unmanned air vehicles has come about due to the development of low cost, high performance stable platforms, employing equally low-cost communication and navigation systems supplemented by simple to use software and interfaces. Therefore, there is a need to be able to monitor the rapidly changing use of airspace, especially at low and normally neglected altitudes to ensure UAVs do not compromise safety or are used for malicious purposes. Radar is the only sensor able to perform this function on a 24-hour, all weather, wide-area basis. This book, concerned with radar surveillance of UAVs, has been compiled using contributions from the leading experts around the world to create a single body of knowledge on this important, yet still emerging, topic. It is aimed at advanced students and researchers with an interest in radar systems.

image of Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation
  • Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation
  • Earth observation (EO) involves the collection, analysis, and presentation of data in order to monitor and assess the status and changes in natural and built environments. This technology has many applications including weather forecasting, tracking biodiversity, measuring land-use change, monitoring and responding to natural disasters, managing natural resources, monitoring emerging diseases and health risks, and predicting, adapting to and mitigating climate change. This book shows how cutting-edge technologies such as artificial intelligence, including neural networks and deep learning, can be applied for processing satellite data for Earth observation. One of the objectives of this book is to explain how to develop a set of libraries for the implementation of artificial intelligence that could overcome some limits and encompass different aspects of research, ranging from data fusion to speckle filtering. In the first part, the authors introduce remote sensing concepts and deep neural networks and convolutional neural networks. In the second part of the book, they present the main tools used for image processing, several simulations and the data processing of specific case studies as well as the testing of related datasets. The book ends with conclusions, open questions and future works and perspectives for artificial intelligence techniques applied to future satellite missions. The book will be of interest to researchers focusing on using machine learning tools to process remote sensing data - particularly satellite data - for Earth observation. The book can also be used as a guide for researchers in many other fields of research who are interested in using ML techniques to process data and get reliable outcomes so they can make informed decisions for their specific objectives.

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