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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. Highly cited journals such as Electronics Letters are available alongside 44 research journal titles, The Journal of Engineering, the IET's gold open access journal, Micro & Nano Letters, the IET's online only journal, the IET's member magazine Engineering & Technology, plus seminar digests and conference publications. Find out more about the Digital Library.

Latest Books

image of Emerging CMOS Capacitive Sensor for Biomedical Applications: A multidisciplinary approach
  • Emerging CMOS Capacitive Sensor 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 Model Predictive Control for Microgrids: From power electronic converters to energy management
  • Model Predictive Control for Microgrids: From power electronic converters to energy management
  • Microgrids have emerged as a promising solution for accommodating the integration of renewable energy resources. But the intermittency of renewable generation is posing challenges such as voltage/frequency fluctuations, and grid stability issues in grid-connected modes. Model predictive control (MPC) is a method for controlling a process while satisfying a set of constraints. It has been in use for chemical plants and in oil refineries since the 1980s, but in recent years has been deployed for power systems and electronics as well. This concise work for researchers, engineers and graduate students focuses on the use of MPC for distributed renewable power generation in microgrids. Fluctuating outputs from renewable energy sources and variable load demands are covered, as are control design concepts. The authors provide examples and case studies to validate the theory with both simulation and experimental results and review the shortcomings and future developments. Chapters treat power electronic converters and control; modelling and hierarchical control of microgrids; use of MPC for PV and wind power; voltage support; parallel PV-ESS microgrids; secondary restoration capability; and tertiary power flow optimization.

image of Utility-scale Wind Turbines and Wind Farms
  • Utility-scale Wind Turbines and Wind Farms
  • Wind power is a pillar of low emission energy systems. Designing more efficient wind turbines and farms, and increasing reliability and flexibility, is an area of intense research and development. In order to overcome the intermittent character of wind power, both the individual turbines and the wind farm as a whole must be considered. Many recent advances have been achieved in multiple aspects of utility-scale wind power. This structured research review conveys recent progress, with chapters written by an international team of experts. Organized into five parts, the book covers the aerodynamics of turbines and farms including layout; control techniques; environmental concerns including noise and bird and bat collisions; the intermittency issue including forecasting, storage and hybrid wind-PV plants; and offshore wind farms. From the general principles of aerodynamics to detailed and systematic coverage of the latest developments, Utility-scale Wind Turbines and Wind Farms provides a convenient and up-to-date source of information for academic researchers and R&D professionals working in this field.

image of Artificial Intelligence for Smarter Power Systems: Fuzzy logic and neural networks
  • Artificial Intelligence for Smarter Power Systems: Fuzzy logic and neural networks
  • The urgent need to reduce carbon emissions is leading to growing use of renewable electricity, particularly from wind and photovoltaics. However, the intermittent nature of these power sources presents challenges to power systems, which need to ensure high and consistent power quality. Going forward, power systems also need to be able to respond to changes in loads, for example from EV charging. Neither production nor load changes can be predicted precisely, and so there is a degree of uncertainty or fuzziness. One way to meet these challenges is to use a kind of artificial intelligence - fuzzy logic. Fuzzy logic uses variables that may be any real number between 0 and 1, rather than either 0 or 1. It has obvious advantages when used for optimization of alternative and renewable energy systems. The parametric fuzzy algorithm is inherently adaptive because the coefficients can be altered to accommodate requirements and data availability. This book focuses on the use of fuzzy logic and neural networks to control power grids and adapt them to changing requirements. Chapters cover fuzzy inference, fuzzy logic-based control, feedback and feedforward neural networks, competitive and associate neural networks, and applications of fuzzy logic, deep learning and big data in power electronics and systems.

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image of Handbook of Big Data Analytics. Volume 1: Methodologies
  • Handbook of Big Data Analytics. Volume 1: Methodologies
  • Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, trends and user and customer preferences, to allow organizations and businesses to make more informed decisions. These methods and technologies have become ubiquitous in all fields of science, engineering, business and management due to the rise of data-driven models as well as data engineering developments using parallel and distributed computational analytics frameworks, data and algorithm parallelization, and GPGPU programming. However, there remain potential issues that need to be addressed to enable big data processing and analytics in real time. In the first volume of this comprehensive two-volume handbook, the authors present several methodologies to support Big Data analytics including database management, processing frameworks and architectures, data lakes, query optimization strategies, towards real-time data processing, data stream analytics, Fog and Edge computing, and Artificial Intelligence and Big Data. The second volume is dedicated to a wide range of applications in secure data storage, privacy-preserving, Software Defined Networks (SDN), Internet of Things (IoTs), behaviour analytics, traffic predictions, gender based classification on e-commerce data, recommender systems, Big Data regression with Apache Spark, visual sentiment analysis, wavelet Neural Network via GPU, stock market movement predictions, and financial reporting. The two-volume work is aimed at providing a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data analytics.

image of Handbook of Big Data Analytics Volume 2: Applications in ICT, security and business analytics
  • Handbook of Big Data Analytics Volume 2: Applications in ICT, security and business analytics
  • Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, trends and user and customer preferences, to allow organizations and businesses to make more informed decisions. These methods and technologies have become ubiquitous in all fields of science, engineering, business and management due to the rise of data-driven models as well as data engineering developments using parallel and distributed computational analytics frameworks, data and algorithm parallelization, and GPGPU programming. However, there remain potential issues that need to be addressed to enable big data processing and analytics in real time. In the first volume of this comprehensive two-volume handbook, the authors present several methodologies to support Big Data analytics including database management, processing frameworks and architectures, data lakes, query optimization strategies, towards real-time data processing, data stream analytics, Fog and Edge computing, and Artificial Intelligence and Big Data. The second volume is dedicated to a wide range of applications in secure data storage, privacy-preserving, Software Defined Networks (SDN), Internet of Things (IoTs), behaviour analytics, traffic predictions, gender based classification on e-commerce data, recommender systems, Big Data regression with Apache Spark, visual sentiment analysis, wavelet Neural Network via GPU, stock market movement predictions, and financial reporting. The two-volume work is aimed at providing a unique platform for researchers, engineers, developers, educators and advanced students in the field of Big Data analytics.

image of ICT Solutions and Digitalisation in Ports and Shipping
  • ICT Solutions and Digitalisation in Ports and Shipping
  • Given the volumes of global ship traffic, solutions are needed to reduce waiting times, costs, energy consumption and emissions. This systematic reference on ICT solutions and digitalisation in the ports and shipping sector covers new and existing technologies, different types of digital systems, and offers illustrative examples and case studies. Coverage includes the following topics: the global trade facilitation regulatory framework and the role of ICT; maritime ports and cybersecurity; e-navigation and shore-based monitoring systems; maritime transportation along the Northern Sea Route; smart shipping beyond e-navigation; maritime communications; emerging radiocommunication technologies in the maritime domain; a data-driven methodology for maritime patterns of life discovery; real-time information with ITS technology; digital supply chain and port information modelling (PIM); ICT innovation in port-hinterland transport services; decarbonisation technologies in shipping and the question of transition fuels; and finally the advent of shore-based navigation: from vessel traffic services (VTS) to e-navigation maritime service portfolio (MSP). The aim of this work is to examine the application of ICT solutions and digitalisation to the movement and clearance of freight at seaports globally. It provides conceptual clarity on the applicability of the different technologies and systems used for this purpose, and the relevance of such projects for different types of ports, from a trade facilitation perspective. It is therefore of particular relevance to researchers, academics, consultants, chief technology officers, and advanced students in the field of freight and logistics, especially in a maritime context. The book is also a valuable reference for anyone involved in port logistics in a managerial or operational capacity, and to port authorities.

image of An Introduction to RF Stealth
  • An Introduction to RF Stealth
  • This expanded, revised and updated new edition of Introduction to RF Stealth covers two major topics: Low Observables and Low Probability of Intercept (LO and LPI) of radars and data links, collectively sometimes called Stealth. Each chapter includes examples, student exercises and references. Worked simulations are available that illustrate the techniques described. Chapter 1 provides an introduction and history of RF/microwave LPI/LO techniques and some basic LPI/LO equations, expanded from the first edition with more information on new and current systems, including more on infrared and hypersonic missile signatures. Chapter 2 is a new chapter, covering radiation absorbing materials and shaping, focused on materials, meta-materials and detailed platform shaping and structures including ships. Chapter 3 covers interceptability parameters and analysis with corrections, updates and simulations. Chapter 4 covers current and future intercept receivers and some of their limitations with more information and tracking techniques. Chapter 5 surveys exploitation of both the natural and the threat environment with extensive threat table updates including Russian S300, S400, S500 and more information on cellular systems. Chapter 6 deals with LPIS waveforms and pulse compression with new material and simulations of new codes. Chapter 7 introduces some hardware techniques associated with LO/LPIS low sidelobe / cross section antenna and radome design with emphasis on active electronic scan arrays. Chapter 8 is a new chapter on RCS testing of subsystems and platforms.

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