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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.

  • Transforming research for an Open Science world

  • Supporting each step of the research journal

  • From trusted content to precision analytics

Latest Books

image of Nature-inspired Optimization Algorithms and Soft Computing: Methods, technology and applications for IoTs, smart cities, healthcare and industrial automation
  • Nature-inspired Optimization Algorithms and Soft Computing: Methods, technology and applications for IoTs, smart cities, healthcare and industrial automation
  • We have witnessed an explosion of research activity around nature-inspired computing and bio-inspired optimization techniques, which can provide powerful tools for solving learning problems and data analysis in very large data sets. To design and implement optimization algorithms, several methods are used that bring superior performance. However, in some applications, the search space increases exponentially with the problem size. To overcome these limitations and to solve efficiently large scale combinatorial and highly nonlinear optimization problems, more flexible and adaptable algorithms are necessary.

    Nature-inspired computing is oriented towards the application of outstanding information-processing aptitudes of the natural realm to the computational domain. The discipline of nature-inspired optimization algorithms is a major field of computational intelligence, soft computing and optimization. Metaheuristic search algorithms with population-based frameworks are capable of handling optimization in high-dimensional real-world problems for several domains including imaging, IoT, smart manufacturing, and healthcare. The integration of intelligence with smart technology enhances accuracy and efficiency. Smart devices and systems are revolutionizing the world by linking innovative thinking with innovative action and innovative implementation.

    The aim of this edited book is to review the intertwining disciplines of nature-inspired computing and bio-inspired soft-computing (BISC) and their applications to real world challenges. The contributors cover the interaction between metaheuristics, such as evolutionary algorithms and swarm intelligence, with complex systems. They explain how to better handle different kinds of uncertainties in real-life problems using state-of-art of machine learning algorithms. They also explore future research perspectives to bridge the gap between theory and real-life day-to-day challenges for diverse domains of engineering.

    The book will offer valuable insights to researchers and scientists from academia and industry in ICTs, IT and computer science, data science, AI and machine learning, swarm intelligence and complex systems. It is also a useful resource for professionals in related fields, and for advanced students with an interest in optimization and IoT applications.

image of Human-Robot Collaboration: Unlocking the potential for industrial applications
  • Human-Robot Collaboration: Unlocking the potential for industrial applications
  • Human-robot collaboration (HRC) is a widely studied research topic that investigates how humans and robots can work together and achieve a common goal. Over the past few years, HRC has created exciting new applications for robots that can revolutionize manufacturing and introduce them to entirely different domains such as healthcare and agriculture. It is an interdisciplinary research area comprising robotics, artificial intelligence, design and cognitive sciences.

    Industrial applications of human-robot collaboration involve collaborative robots which physically interact with humans in shared workspaces to complete tasks such as collaborative manipulation or object handovers. However, in industry to date, HRC has been adopted at a slower pace than expected as collaborative robots need to be safe for interaction with humans. At the same time, they need to be easily programmed by non-experts and to operate in an intelligent and adaptive way.

    In this book we present some of the latest state-of-the-art advances in the area of human-robot collaboration, aiming at future industrial applications. The book will be useful for advanced students, researchers, engineers, developers and entrepreneurs interested in human-robot collaboration research and technologies.

image of Blockchain Technology for Secure Social Media Computing
  • Blockchain Technology for Secure Social Media Computing
  • Blockchain is a digital ledger of transactions duplicated and distributed across an entire network of computer systems on the blockchain which makes it more difficult to hack or tamper with. The popularity of blockchain has been increasing with the growth of social media and the internet of things (IoT). Social media are interactive digitally mediated technologies that facilitate the creation or sharing and exchange of information, ideas, opinions and interests via virtual communities and social network platforms. However, unmonitored social accounts can be the target of hackers who post fraudulent messages or virus-infected links that spread to contacts and followers, and "employee weakness" is responsible for 20% of cyberattacks in companies. So, it has become essential to secure both personal and professional social media networks, accounts and data.

    Blockchain Technology for Secure Social Media Computing covers recent advances, trends and future opportunities in the security framework of social media-computing. The contributors focus on how to protect social media platforms, and present methods for making social media computing more reliable and effective to achieve trusted IoT-based social computing with blockchain technology.

    The book is aimed at an advanced research audience in industry and academia focused on blockchain technology and social media computing working in cybersecurity, security data analytics, computer science, distributed computing, networking, internet of things and related fields of applications. It will be also of interest to application and software developers and project managers using blockchain technology and multiple encryptions.

image of Theory and Methods for Distributed Data Fusion Applications
  • Theory and Methods for Distributed Data Fusion Applications
  • With the rise of digitalization, AI and modern data communication, engineering is increasingly challenged by the complexity of systems-of-systems, in which perception sensors have their own processing mechanism, information is merged at some centric entity, and cross-platform exchange of data is conceptualized in a holistic approach. Therefore, distributed architectures for data fusion, state estimation, and multi target tracking have been becoming increasingly important. The use of multiple sensors to perceive and compute the situational awareness picture leads to the generation of vast amounts of data, which need to be filtered, enriched, interpreted, and evaluated. This becomes infeasible without the notion of distributed algorithms.

    Theory and Methods for Distributed Data Fusion Applications first covers the fundamentals of stochastic motion, which constitutes the underlying models in target tracking and parameter estimation. The next chapter exposes the most important basic target tracking and state estimation algorithms and in the next those methods are extended to the estimation of full trajectories with states from multiple time stamps. Then the book introduces the problem of distributed fusion and presents first solutions to it. Then the final 3 chapters cover track fusion methods with unknown cross covariances, the Distributed Kalman Filter and its variants and finally methods for track-to-track association.

    This book is designed to provide state-of-the-art approaches and algorithms to the interested engineer for data fusion in distributed systems providing a profound understanding of the constraints, assumptions, benefits, and drawbacks. To this end, the derivation of each method is given in detail without omitting auxiliary calculations or intermediate steps.

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image of Cognitive Sensing Technologies and Applications
  • Cognitive Sensing Technologies and Applications
  • Cognitive sensing systems combined with IoTs and smart technologies are used in countless applications such as industrial robotics, computer-aided diagnosis, brain-computer interface (BCI), human-computer interaction (HCI), telemedicine, driverless cars and smart energy systems.

    With contributions from an international team of experts from a wide range of research areas including sensing, computer vision, signal processing and device and control applications, this book highlights the emerging role of cognitive sensors in a growing number of real time applications including smart health, smart cities, smart transportation and smart agriculture.

    The volume will be suitable for a broad audience of researchers in the fields of smart sensing, signal processing, automation and robotics, environmental engineering, energy engineering, biomedical engineering and allied disciplines where smart sensors are part of the curriculum.

image of Medical Equipment Engineering: Design, manufacture and applications
  • Medical Equipment Engineering: Design, manufacture and applications
  • The evolution of medical equipment engineering is progressing rapidly, with advances in digital healthcare technologies such as artificial intelligence, virtual/augmented reality, 3D-printing, robotics and nanotechnologies developing at pace. Medical equipment engineering can assist in surveying workplace inefficiencies, and develop efficient optimisation processes, through data research and intelligent learning automation. This edited book covers the benefits of the integration of lean manufacturing, smart sensors, 5G technology, IoTs, virtual reality, 3D printing, robotics and automation.

    Medical Equipment Engineering: Design, manufacture and applications discusses the technological requirements that bring robots closer to humans in smart equipment manufacturing environments where computer-integrated equipment manufacturing, high levels of adaptability and rapid equipment design changes are successfully integrated with digital information technology, while ensuring that these new processes still protect worker safety.

    A holistic view of medical equipment engineering will affect many areas, most notably: equipment services and engineering business models, equipment reliability and continuous productivity, machine safety, standards and maintenance, IT security and equipment product lifecycles. Topics such as industry value chain, industry demonstration and technicians and workers' education and skills will also be explored.

    This book is essential reading for all engineers and designers working in medical equipment manufacturing, and related fields such as AI, virtual reality, smart sensors, 3D printing, robotics and automation.

image of Photovoltaic Technology for Hot and Arid Environments
  • Photovoltaic Technology for Hot and Arid Environments
  • The need to reduce greenhouse gas emissions and dependency on fossil fuels necessitates accelerated deployment of renewable energy, such as photovoltaics (PV). Regions with high insolation in the "Sun Belt" covering north Africa and the middle east, as well as in Australia, parts of Latin America, and elsewhere offer tremendous potential for PV, including for green hydrogen production. However, these regions are characterized by a hot climate and a dusty environment, both causing reduction of PV panel performance by 25% or more. The development of solar cells with enhanced resistance to thermal degradation and the reduction of panel soiling have therefore been subjects of intense study.

    Key developments include optimisation of the temperature coefficient of heterojunction solar cells, developing cells of higher open circuit voltage that are expected to show lower reduction of the panel efficiency at high temperatures, and analysis of soiling effects for better predictability and countermeasures. Based in part on research undertaken at Qatar Environment and Energy Research Institute (QEERI), and with contributions from chapter authors from a range of international institutions, this book addresses recent trends and developments in its field. Chapters revise solar energy resources and PV principles and thermodynamics, solar cell and module technology, bifacial solar cells, and soiling. A case study from Australia is followed by conclusions and future outlooks.

    Photovoltaic Technology for Hot and Arid Environments covers developments in the field for researchers and experts in industry and academia, and advanced students with an interest in the topic.

image of Processing and Manufacturing of Electrodes for Lithium-Ion Batteries
  • Processing and Manufacturing of Electrodes for Lithium-Ion Batteries
  • Lithium-ion batteries (LIBs) are key to storing clean energy. However, process design, including electrode processing, is critical for performance. There are many reviews addressing material development for LIBs, but comparatively few on correlating the material properties with processing design and constraints. While these technologies are becoming familiar in industry, they are not yet widely accessible to the research community.

    This book provides a comprehensive and critical view of electrode processing and manufacturing for Li-ion batteries. Coverage includes electrode processing and cell fabrication with emphasis on technologies, relation between materials properties and processing design, and scaling up from lab to pilot scale. Outlining the whole process of Li-ion battery fabrication, chapters cover materials for Li-ion batteries, slurry preparation, coating, laser materials processing, additive manufacturing, dry processing, electrode drying, aqueous cathode processing, electrolyte filling and formation of cells, simulation-assisted electrode processing, as well as quality control.

    Processing and Manufacturing of Electrodes for Lithium-Ion Batteries bridges the gap between academic development and industrial manufacturing, and also outlines future directions to Li-ion battery electrode processing and emerging battery technologies. It will be an invaluable resource for battery researchers in academia, industry and manufacturing as well as for advanced students in related subjects.

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