eBooks: IET 2020 Frontlist
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AI for Emerging Verticals: Human-robot computing, sensing and networking
- Type: Book
- Publication date 2020
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By specializing in a vertical market, companies can better understand their customers and bring more insight to clients in order to become an integral part of their businesses. This approach requires dedicated tools, which is where artificial intelligence (AI) and machine learning (ML) will play a major role. By adopting AI software and services, businesses can create predictive strategies, enhance their capabilities, better interact with customers, and streamline their business processes. This edited book explores novel concepts and cutting-edge research and developments towards designing these fully automated advanced digital systems. Fostered by technological advances in artificial intelligence and machine learning, such systems potentially have a wide range of applications in robotics, human computing, sensing and networking. The chapters focus on models and theoretical approaches to guarantee automation in large multi-scale implementations of AI and ML systems; protocol designs to ensure AI systems meet key requirements for future services such as latency; and optimisation algorithms to leverage the trusted distributed and efficient complex architectures. The book is of interest to researchers, scientists, and engineers working in the fields of ICTs, networking, AI, ML, signal processing, HCI, robotics and sensing. It could also be used as supplementary material for courses on AI, machine and deep learning, ICTs, networking signal processing, robotics and sensing.
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Advanced Characterization of Thin Film Solar Cells
- Type: Book
- Publication date 2020
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Polycrystalline thin-film solar cells have reached a levelized cost of energy that is competitive with all other sources of electricity. The technology has significantly improved in recent years, with laboratory cell efficiencies for cadmium telluride (CdTe), perovskites, and copper indium gallium diselenide (CIGS) each exceeding 22 percent. Both CdTe and CIGS solar panels are now produced at the gigawatt scale. However, there are ongoing challenges, including the continued need to improve performance and stability while reducing cost. Advancing polycrystalline solar cell technology demands an in-depth understanding of efficiency, scaling, and degradation mechanisms, which requires sophisticated characterization methods. These methods will enable reseachers and manufacturers to improve future solar modules and systems. This work provides researchers with a concise overview of the status of thin-film solar cell technology and characterization. Chapters describe material systems and their properties and then provide an in-depth look at relevant characterization methods and the learning facilitated by each of these. Following an introductory chapter, the book provides systematic and thorough coverage of the following topics: trends to improve CdTe solar cell performance; Cu(In,Ga)Se2 and related materials; perovskite solar cells; photovoltaic device modelling; luminescence and thermal imaging of thin-film photovoltaic materials, devices, and modules; application of spatially resolved spectroscopy characterization techniques on Cu2ZnSnSe4 solar cells; time-resolved photoluminescence characterization of polycrystalline thin-film solar cells; fundamentals of electrical material and device spectroscopies applied to thin-film polycrystalline chalcogenide solar cells; nanometer-scale characterization of thin-film solar cells by atomic force microscopy-based electrical probes; scanning transmission electron microscopy characterization of solar cells; photoelectron spectroscopy methods in solar cell research; time-of-flight secondary-ion mass spectrometry and atom probe tomography; and solid-state nuclear magnetic resonance characterization for photovoltaic applications. The final chapter provides an overview and describes future prospects.
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Advanced Dielectric Materials for Electrostatic Capacitors
- Type: Book
- Publication date 2020
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Capacitors are passive electrical components that store energy in an electric field. Applications include electric power conditioning, signal processing, motor starting, and energy storage. The maximum charge a capacitor can hold largely depends on the dielectric material inside. That material is the enabler for the performance. Ongoing development in fields such as high-power electronics, renewable energy, hybrid electric vehicles and electric aircraft, is posing an urgent need for more advanced electrostatic capacitor technology. This book for researchers in industry and academia provides an overview of key dielectric materials for capacitor technology. It covers preparation and characterization of state-of-the art dielectric materials including ceramics, polymers and polymer nanocomposites, for the most popular applications including energy storage, microwave communication and multi-layer ceramic capacitors. The book begins with an introduction to electrostatic capacitor technology, then goes on to cover the following topics: techniques for capacitor dielectrics characterization; dielectric polymers and dielectric metamaterials for high energy capacitors; polymer/nanofiller composites; high-temperature polymer-based dielectrics for electrostatic energy storage; design and simulations of capacitor dielectrics by phase-field computations; rational design on polymer dielectrics; inorganic dielectrics for high-energy-density capacitors; ceramic dielectrics for microwave communication; ceramic dielectrics for MLCCs; and finally two chapters on future prospects for polymers and ceramics.
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Advanced Sparsity-Driven Models and Methods for Radar Applications
- Type: Book
- Author(s): Gang Li
- Publication date 2020
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This book introduces advanced sparsity-driven models and methods and their applications in radar tasks such as detection, imaging and classification. Compressed sensing (CS) is one of the most active topics in the signal processing area. By exploiting and promoting the sparsity of the signals of interest, CS offers a new framework for reducing data without compromising the performance of signal recovery, or for enhancing resolution without increasing measurements. An introductory chapter outlines the fundamentals of sparse signal recovery. The following topics are then systematically and comprehensively addressed: hybrid greedy pursuit algorithms for enhancing radar imaging quality; two-level block sparsity model for multichannel radar signals; parametric sparse representation for radar imaging with model uncertainty; Poisson-disk sampling for high-resolution and wide-swath SAR imaging; when advanced sparse models meet coarsely quantized radar data; sparsity-aware micro-Doppler analysis for radar target classification; and distributed detection of sparse signals in radar networks via locally most powerful test. Finally, a concluding chapter summarises key points from the preceding chapters and offers concise perspectives. The book focuses on how to apply the CS-based models and algorithms to solve practical problems in radar, for the radar and signal processing research communities.
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Advanced Technologies for Next Generation Integrated Circuits
- Type: Book
- Publication date 2020
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Although existing nanometer CMOS technology is expected to remain dominant for the next decade, new non-classical devices are being developed as the potential replacements of silicon CMOS, in order to meet the ever-present demand for faster, smaller, more efficient integrate circuits. Many new devices are based on novel emerging materials such as one-dimensional carbon nanotubes and two-dimensional graphene, non-graphene two-dimensional materials, and transition metal dichalcogenides. Such devices use on/off operations based on quantum mechanical current transport, and so their design and fabrication require an understanding of the electronic structures of materials and technologies. Moreover, new electronic design automation (EDA) tools and techniques need to be developed based on integrating devices from emerging novel material-based technologies. The aim of this book is to explore the materials and design requirements of these emerging integrated circuit technologies, and to outline their prospective applications. It will be useful for academics and research scientists interested in future directions and developments in design, materials and applications of novel integrated circuit technologies, and for research and development professionals working at the cutting edge of integrated circuit development.
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Advances in Mathematical Methods for Electromagnetics
- Type: Book
- Publication date 2020
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This book covers recent achievements in the area of advanced analytical and associated numerical methods as applied to various problems arising in all branches of electromagnetics. The unifying theme is the application of advanced or novel mathematical techniques to produce analytical solutions or effective analytical-numerical methods for computational electromagnetics addressing more general problems. Each chapter contains an outline of its topic, discusses its scientific context and importance, describes approaches to date, gives an exposition of the author's approach to the problem tackled in the chapter, describes the results, and concludes with a discussion of the range or class of problems where the techniques described work most appropriately and effectively. Intended primarily for researchers in the fields of electrical engineering, mathematics, physics and related disciplines, the book offers systematic and thorough coverage of this complex topic. It is hoped that the book will help to stimulate further investigation and discussion of the important problems in electromagnetics within this research community.
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Advances in Telemedicine for Health Monitoring: Technologies, Design and Applications
- Type: Book
- Publication date 2020
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Advances in telemedicine technologies have offered clinicians greater levels of real-time guidance and technical assistance for diagnoses, monitoring, operations or interventions from colleagues based in remote locations. The topic includes the use of videoconferencing, mentorship during surgical procedures, or machine-to-machine communication to process data from one location by programmes running in another. This edited book presents a variety of technologies with applications in telemedicine, originating from the fields of biomedical sensors, wireless sensor networking, computer-aided diagnosis methods, signal and image processing and analysis, automation and control, virtual and augmented reality, multivariate analysis, and data acquisition devices. The Internet of Medical Things (IoMT), surgical robots, telemonitoring, and teleoperation systems are also explored, as well as the associated security and privacy concerns in this field. Topics covered include critical factors in the development, implementation and evaluation of telemedicine; surgical tele-mentoring; technologies in medical information processing; recent advances of signal/image processing techniques in healthcare; a real-time ECG processing platform for telemedicine applications; data mining in telemedicine; social work and telemental health services for rural and remote communities; applying telemedicine to social work practice and education; advanced telemedicine systems for remote healthcare monitoring; the impact of tone-mapping operators and viewing devices on visual quality of experience of colour and grey-scale HDR images; modelling the relationships between changes in EEG features and subjective quality of HDR images; IoMT and healthcare delivery in chronic diseases; and transform domain robust watermarking method using Riesz wavelet transform for medical data security and privacy.
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Analysis and Design of CMOS Clocking Circuits for Low Phase Noise
- Type: Book
- Author(s): Woorham Bae and Deog-Kyoon Jeong
- Publication date 2020
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As electronics continue to become faster, smaller and more efficient, development and research around clocking signals and circuits has accelerated to keep pace. This book bridges the gap between the classical theory of clocking circuits and recent technological advances, making it a useful guide for newcomers to the field, and offering an opportunity for established researchers to broaden and update their knowledge of current trends. The book begins by introducing the theory of Fourier transform and power spectral density, then builds on this foundation in chapter 2 to define phase noise and jitter. Chapter 3 discusses the theory and primary implementation of CMOS oscillators, including LC oscillators and ring oscillators, and chapter 4 introduces techniques for analysing their phase noise and jitter. Chapters 5-7 cover conventional clocking circuits; phase-locked loop (PLL) and delay-locked loop (DLL), which suppress the phase noise of CMOS oscillators. The building blocks of conventional PLLs/DLLs are described, and the dynamics of the PLL/DLL negative feedback loop explored in depth, with practical design examples. Chapters 8-11 address state-of-the-art circuit techniques for phase noise suppression, presenting the principles and practical issues in circuit implementation of sub-sampling phase detection techniques, all-digital PLL/DLL, injection-locked oscillator, and clock multiplying DLL. Extensive survey and discussion on state-of-the-art clocking circuits and benchmarks are covered in an Appendix.
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Antennas and Propagation for 5G and Beyond
- Type: Book
- Publication date 2020
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Transforming the way we live, work, and engage with our environment, 5G and beyond technologies will provide much higher bandwidth and connectivity to billions of devices. This brings enormous opportunities but of course the widespread deployment of these technologies faces challenges, including the need for reliable connectivity, a diverse range of bandwidths, dynamic spectrum sharing, channel modelling and wave propagation for ultra-dense wireless networks, as well as price pressures. The choice of an antenna system will also be a critical component of all node end devices and will present several design challenges such as size, purpose, shape and placement. In this edited book, the authors bring new approaches for exploiting challenging propagation channels and the development of efficient, cost-effective, scalable, and reliable antenna systems and solutions, as well as future perspectives. The book is aimed at a wide audience of industry and academic researchers, scientists and engineers as well as advanced students in the field of antennas, ICTs, signal processing and electromagnetics. It will also be useful to network and system designers, developers and manufacturers. Stakeholders, government regulators, policy makers and standards bodies can use the information provided here to better understand the effects of the technology on the market and future developments for 5G and beyond systems and networks.
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Autonomous Underwater Vehicles: Design and practice
- Type: Book
- Publication date 2020
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The recent development of advanced processing capabilities and higher yield power supplies means that Autonomous Underwater Vehicle (AUVs) are finding novel and increasingly advanced applications in research, military and commercial settings. This timely book provides a state-of-the-art overview of AUV design and practice. Focusing on the interplay between design and practice, it comprehensively covers control and navigation, communication and cooperation, and methodologies and applications where AUVs are used for education, research, biological and oceanographic studies, surveillance purposes, and military, security, and industrial tasks. The book covers key concepts for maritime engineers and navigation researchers and professionals, and is a useful reference for control and robotics researchers working on AUVs.
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Blockchain and Machine Learning for e-Healthcare Systems
- Type: Book
- Publication date 2020
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Blockchain and machine learning technologies can mitigate healthcare issues such as slow access to medical data, poor system interoperability, lack of patient agency, and data quality and quantity for medical research. Blockchain technology facilitates and secures the storage of information in such a way that doctors can see a patient's entire medical history, but researchers see only statistical data instead of any personal information. Machine learning can make use of this data to notice patterns and give accurate predictions, providing more support for the patients and also in research related fields where there is a need for accurate data to predict credible results. This book examines the application of blockchain technology and machine learning algorithms in various healthcare settings, covering the basics of the technologies and exploring how they can be used to improve clinical outcomes and improving the patient's experience. These topics are illustrated with reference to issues around the supply chain, drug verification, reimbursement, control access and clinical trials. Case studies are given for applications in the analysis of breast cancer, hepatitis C, and COVID-19.
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Blockchains for Network Security: Principles, technologies and applications
- Type: Book
- Publication date 2020
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Blockchain technology is a powerful, cost-effective method for network security. Essentially, it is a decentralized ledger for storing all committed transactions in trustless environments by integrating several core technologies such as cryptographic hash, digital signature and distributed consensus mechanisms. Over the past few years, blockchain technology has been used in a variety of network interaction systems such as smart contracts, public services, Internet of Things (IoT), social networks, reputation systems and security and financial services. With its widespread adoption, there has been increased focus on utilizing blockchain technologies to address network security concerns and vulnerabilities as well as understanding real-world security implications. The book begins with an introduction to blockchains, covering key principles and applications. Further chapters cover blockchain system architecture, applications and research issues; blockchain consensuses and incentives; blockchain applications, projects and implementations; blockchain for internet of things; blockchain in 5G and 6G networks; edgechain to provide security in organization based multi agent systems; blockchain driven privacy-preserving machine learning; performance evaluation of differential privacy mechanisms in blockchain based smart metering; scaling-out blockchains with sharding; blockchain for GIS; and finally blockchain applications in remote sensing big data management and production.
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Collection and Delivery of Traffic and Travel Information
- Type: Book
- Publication date 2020
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Technologies for traffic and travel information (TTI) have been evolving rapidly in recent years. This book offers an overview of three generations of TTI technology, beginning with the first generation of human to human information transmission. The second generation incorporated machine to human information exchange, with the development of classification and transmission protocols such as RDS-TMC and TPEG. A third generation of machine to machine communication is now emerging, disrupting TTI technology and creating the need for this new reference work, which covers gathering information from automated sensors, its digital processing and transmission, and its use by increasingly intelligent agents and vehicles. The book provides coverage of the following topics, written by a range of experts in their respective fields: road traffic data collection; road traffic news from the air; location referencing; digital coding, collation and exchange of traffic information; European developments in traffic and travel information; the role of the commercial sector in developing road traffic information in the UK and Europe; dynamic road traffic signage; smart motorway information development; contribution of cooperative ITS to road traffic and travel information; multi modal traffic and travel information; social media and traffic and travel information; social media services and business models; and finally traffic and travel information into the future. Providing essential information to researchers and industry professionals involved with or interested in technologies and organisations that provide or deliver travel information, this book could also be of interest to policymakers needing an overview of the evolution and recent developments of this field, and advanced students of subjects related to telecommunications with an interest in traffic information.
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Condition Monitoring of Rotating Electrical Machines
- Type: Book
- Author(s): Peter Tavner ; Li Ran ; Christopher Crabtree
- Publication date 2020
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Condition monitoring of engineering plants has increased in importance as engineering processes have become increasingly automated. However, electrical machinery usually receives attention only at infrequent intervals when the plant or the electricity generator is shut down. The economics of industry have been changing, placing ever more emphasis on the importance of reliable operation of the plants. Electronics and software in instrumentation, computers, and digital signal processors have improved our ability to analyse machinery online. Condition monitoring is now being applied to a range of systems from fault-tolerant drives of a few hundred watts to machinery of a few hundred MW in major plants. This book covers a large range of machines and their condition monitoring. This 3rd edition builds on the 2nd edition through a major revision, update of chapters and a comprehensive list of references rotating electrical machines; electrical machine construction, operation and failure modes; reliability of machines and typical failure rates; signal processing and instrumentation requirements; on-line temperature monitoring; on-line chemical monitoring; on-line vibration monitoring; on-line current, flux and power monitoring; on-line partial discharge (PD) electrical monitoring; on-line variable speed drive machine monitoring; off-line monitoring; condition-based maintenance and asset management; application of artificial intelligence techniques to CM; and safety, training and qualification.
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Control of Prosthetic Hands: Challenges and emerging avenues
- Type: Book
- Publication date 2020
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This edited book brings together research from laboratories across the world, in order to offer a global perspective on advances in prosthetic hand control. State-of-the-art control of prosthetics in the laboratory and clinical spaces are presented and the challenges discussed, and the effect of user training on control of prosthetics to evaluate the translational efficacy and value for the end-user is highlighted. The book begins with a chapter introducing the fundamental principles, engineering challenges and control solutions for prosthetic hands. Further chapters address methods to design bespoke sockets, magnetomyography, implantable technologies for closed-loop control of prostheses, direct neural control of prostheses via nerve implants as well as user-prosthesis co-adaptation, and two chapters on prosthetics for children. The book concludes with a chapter by Dr Nazarpour on the future of myoelectric prosthetics control, with particular focus on the successful translation of research advances into real clinical gains. The book is essential reading for anyone involved in research or undertaking advanced courses in prosthetic design and control. It provides an in-depth exploration of this rewarding topic, by exploring technologies with the potential to improve the quality of life of upper-limb prosthetic users.
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Cross-Layer Reliability of Computing Systems
- Type: Book
- Publication date 2020
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Reliability has always been a major concern in designing computing systems. However, the increasing complexity of such systems has led to a situation where efforts for assuring reliability have become extremely costly, both for the design of solutions for the mitigation of possible faults, and for the reliability assessment of such techniques. Cross-layer reliability is fast becoming the preferred solution. In a cross-layer resilient system, physical and circuit level techniques can mitigate low-level faults. Hardware redundancy can be used to manage errors at the hardware architecture layer. Eventually, software implemented error detection and correction mechanisms can manage those errors that escaped the lower layers of the stack. This book presents state-of-the-art solutions for increasing the resilience of computing systems, both at single levels of abstraction and multi-layers. The book begins by addressing design techniques to improve the resilience of computing systems, covering the logic layer, the architectural layer and the software layer. The second part of the book focuses on cross-layer resilience, including coverage of physical stress, reliability assessment approaches, fault injection at the ISA level, analytical modelling for cross-later resiliency, and stochastic methods. Cross-Layer Reliability of Computing Systems is a valuable resource for researchers, postgraduate students and professional computer architects focusing on the dependability of computing systems.
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Deep Neural Network Design for Radar Applications
- Type: Book
- Publication date 2020
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Novel deep learning approaches are achieving state-of-the-art accuracy in the area of radar target recognition, enabling applications beyond the scope of human-level performance. This book provides an introduction to the unique aspects of machine learning for radar signal processing that any scientist or engineer seeking to apply these technologies ought to be aware of. The book begins with three introductory chapters on radar systems and phenomenology, machine learning principles, and optimization for training common deep neural network (DNN) architectures. Subsequently, the book summarizes radar-specific issues relating to the different domain representations in which radar data may be presented to DNNs and synthetic data generation for training dataset augmentation. Further chapters focus on specific radar applications, which relate to DNN design for micro-Doppler analysis, SAR-based automatic target recognition, radar remote sensing, and emerging fields, such as data fusion and image reconstruction. Edited by an acknowledged expert, and with contributions from an international team of authors, this book provides a solid introduction to the fundamentals of radar and machine learning, and then goes on to explore a range of technologies, applications and challenges in this developing field. This book is also a valuable resource for both radar engineers seeking to learn more about deep learning, as well as computer scientists who are seeking to explore novel applications of machine learning. In an era where the applications of RF sensing are multiplying by the day, this book serves as an easily accessible primer on the nuances of deep learning for radar applications.
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Distribution Systems Analysis and Automation
- Type: Book
- Author(s): Juan M. Gers
- Publication date 2020
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Distribution systems analysis employs a set of techniques to simulate, analyse, and optimise power distribution systems. Combined with automation, these techniques underpin the concept of the smart grid. In recent years, distribution systems have been facing growing challenges, due to increasing demand as well as the rising shares of distributed and volatile renewable energy sources. For this new edition, the chapters of the first edition have been revised and updated, and the topics of distribution system analysis and distribution automation combined. Coverage includes smart grid, load flow analysis, determination of optimal topology, voltage control and capacitor application, power quality and harmonics in distribution systems, distribution system restoration, numerical relaying and distribution feeder protection, distributed generation and microgrid technology. New material related to renewable energy and microgrids are included, and maturity models and evaluation of smart grid projects are presented, along with material on the transition to the new distribution system technologies.
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Edge Computing: Models, technologies and applications
- Type: Book
- Publication date 2020
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Cloud computing has evolved as a cost-effective, easy-to-use, elastic and scalable computing paradigm to transform today's business models. 5G, Industrial IoT, Industry 4.0 and China-2050 frameworks and technologies are introducing new challenges that cannot be solved efficiently using current cloud architectures. To handle the collected information from such a vast number of devices and actuators, and address these issues, novel concepts have been proposed to bring cloud-like resources closer to end users at the edge of the network, a technology called edge computing. From architectures to models, technologies and applications, this book focuses on the Edge Computing paradigm due to its unique characteristics where heterogeneous devices can be equipped with decision making processes and automation procedures to carry out applications across widely geographically distributed areas. This book provides valuable insights for ICTs engineers, scientists, researchers, developers and practitioners who are involved in developing and implementing edge and cloud-based solutions ranging from sensors and actuators to cloud-based back-end systems.
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Electromagnetic Reverberation Chambers: Recent advances and innovative applications
- Type: Book
- Publication date 2020
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This book offers state of the art information about a novel range of applications for electromagnetic reverberation chambers. It is written by international experts in electromagnetic theory, electromagnetic compatibility (EMC), and antenna design and measurement. For each application area a renowned researcher introduces the general concepts and then describes the recent advances in that field. The following topics are thus addressed in the context of reverberation chambers in the 9 chapters of the book: Calibration of reverberation chambers with the "well stirred condition" method; Performance assessment of the most popular stirring techniques for broadband tests; Probabilistic model in the context of radiated susceptibility tests; Over-the-air testing of wireless devices; Material absorption and dosimetry for animal exposure; Characterization of antenna efficiency and radiation pattern; Radar cross section estimation. Finally, a concluding chapter identifies and explores some of the exciting developments and open issues that represent emerging trends in reverberation chamber research. The book is aimed at advanced students and researchers in signal processing, antenna design or EMC who need to know about new applications of reverberation chambers.