Medical images, in various formats, are used by clinicians to identify abnormalities or markers associated with certain conditions, such as cancers, diseases, abnormalities or other adverse health conditions. Deep learning algorithms use vast volumes of data to train the computer to recognise certain features in the images that are associated with the disease or condition that you wish to identify.

A metaheuristic is a consistent set of ideas, concepts, and operators to design a heuristic optimization algorithm, that can provide a sufficiently good solution to an optimization problem with incomplete or imperfect information. Modern and emerging power systems, with the growing complexity of distributed and intermittent generation, are an important application for such methods.

Thanks to advances in power electronics device design, digital signal processing technologies and energy efficient algorithms, ac motors have become the backbone of the power electronics industry. Variable frequency drives (VFD's) together with IE3 and IE4 induction motors, permanent magnet motors, and synchronous reluctance motors have emerged as a new generation of greener high-performance technologies, which offer improvements to process and speed control, product quality, energy consumption and diagnostics analytics.

With the growing maturity and stability of digitization and edge technologies, vast numbers of digital entities, connected devices, and microservices interact purposefully to create huge sets of poly-structured digital data. Corporations are continuously seeking fresh ways to use their data to drive business innovations and disruptions to bring in real digital transformation. Data science (DS) is proving to be the one-stop solution for simplifying the process of knowledge discovery and dissemination out of massive amounts of multi-structured data.

The world is keen to leverage multi-faceted AI techniques and tools to deploy and deliver the next generation of business and IT applications. Resource-intensive gadgets, machines, instruments, appliances, and equipment spread across a variety of environments are empowered with AI competencies. Connected products are collectively or individually enabled to be intelligent in their operations, offering and output.

When digitized entities, connected devices and microservices interact purposefully, we end up with a massive amount of multi-structured streaming (real-time) data that is continuously generated by different sources at high speed. Streaming analytics allows the management, monitoring, and real-time analytics of live streaming data. The topic has grown in importance due to the emergence of online analytics and edge and IoT platforms. A real digital transformation is being achieved across industry verticals through meticulous data collection, cleansing and crunching in real time. Capturing and subjecting those value-adding events is considered to be the prime task for achieving trustworthy and timely insights.

Intelligent multimedia involves the computer processing and understanding of perceptual input from speech, text, videos and images. Reacting to these inputs is complex and involves research from engineering, computer science and cognitive science. Intelligent multimedia processing deals with the analysis of images and videos to extract useful information for numerous applications including medical imaging, robotics, remote sensing, autonomous driving, AR/VR, law enforcement, biometrics, multimedia enhancement and reconstruction, agriculture, and security. Intelligent multimedia processing and computer vision have seen an upsurge over the last few years. With the increasing use of intelligent multimedia processing techniques in various sectors, the requirement for fast and reliable techniques to analyse and process multimedia content is increasing day by day.

The world is charging towards the new network technologies of broadband and 3G, and new application technologies face the challenge of where they can be used. This book takes a pragmatic look at two particular application technologies - location and personalisation - and presents an understanding of the technical and business impact of these technologies. With a combination of overview papers, detailed technical case studies and a deep understanding of actual implementatio of these services within a telecommunications environment, this book will help those wishing to deliver improved services based on these capabilities. Other key topics covered include CRM and content management.

Understanding ion channel gating has been a goal of researchers since Hodgkin and Huxley's classic publication in 1952, but the gating mechanism has remained elusive. In this book it is shown how electrons can control gating. Introducing the electron as a gating agent requires amplification, but until now there has been no appropriate mechanism for amplification.

There are a growing number of challenges in handling medical data in order to provide an effective healthcare service in real-time. Bridging the gap between patient expectations and their experiences needs effective collaboration and connectivity across the healthcare ecosystem. The success of joined-up care relies on patient data being shared between all active stakeholders, including hospitals, outreach workers, and GPs. All these needs and challenges pave the way for the next trend of development in healthcare - healthcare 4.0.

Cloud computing has been a game changer for internet-based applications such as content delivery networks, social networking and multi-tier enterprise applications. However, the requirements for low-latency data access, security, bandwidth, mobility, and cost have challenged centralized data center-based cloud computing models, which is driving the need for the novel computing paradigms of edge and fog computing. The internet of things (IoT) focuses on discovery, aggregation, management, and acting on data originating from internet-connected devices via programmable sensors, actuators, mobile phones, surveillance cameras, routers, gateways and switches. But the aggregation of this data is expensive and can be time consuming.

Parameter estimation is the process of using observations from a system to develop mathematical models that adequately represent the system dynamics. The assumed model consists of a finite set of parameters, the values of which are calculated using estimation techniques. Most of the techniques that exist are based on least-square minimisation of error between the model response and actual system response. However, with the proliferation of highspeed digital computers, elegant and innovative techniques like filter error method, genetic algorithms and artificial neural networks are finding more and more use in parameter estimation problems. Modelling and Parameter Estimation of Dynamic Systems presents a detailed examination of many estimation techniques and modelling problems.

Medical imaging informatics play an important role in the effectiveness of present-day healthcare systems. Advancement of artificial intelligence, big data analytics, and internet of things technologies contribute greatly to various healthcare applications. Artificial intelligence techniques are contributing to improvements with traditionally human-based systems and ensuring that the accuracy of prediction and diagnosis is being continually enhanced. The development of reliable and accurate healthcare models is becoming ever more possible with the help of machine learning and deep learning technologies. Artificial intelligence has the power to solve many complex problems in medical imaging and is a technology that will help to design the future of many healthcare systems.

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.

Motivated by the exciting new application paradigm of using amalgamated technologies of the Internet and wireless, the next generation communication networks (also called 'ubiquitous', 'complex' and 'unstructured' networking) are changing the way we develop and apply our future systems and services at home and on local, national and global scales. Whatever the interconnection - a WiMAX enabled networked mobile vehicle, MEMS or nanotechnology enabled distributed sensor systems, Vehicular Ad hoc Networking (VANET) or Mobile Ad hoc Networking (MANET) - all can be classified under new networking structures which can be given the generic title of 'ad hoc' communication networking.

Iris recognition technologies for identity management are already deployed globally in several large-scale nationwide biometric projects and are currently entering the mobile market. More recently, periocular recognition has been employed to augment the biometric performance of the iris in unconstrained environments where only the ocular region is present in the image.

Negative Group Delay Devices: From concepts to applications introduces the theoretical concept, analysis, design methodology and implementation of negative group delay (NGD). The NGD concept is a recent topic in electrical and electronic engineering research based on an unconventional function; the generation of an output signal seemingly in time-advance of the input signal. The NGD function has been exploited to develop experimental high-performance electronic devices, and novel design features of radio frequency (RF) and microwave electronic devices, such as filters, power dividers and amplifiers. Examples include the realization of non-Foster reactive elements, shortening or reducing delay lines, enhancing the efficiency of feedforward linear amplifiers, improvement of phase shifters accuracy and bandwidth, equalization of electrical interconnect effects for the microwave, digital and mixed signal integrity improvement, and minimizing beam-squint in series-fed antenna arrays.

This book describes a fast, accurate and flexible modelling methodology for PCBs. The model uses the concept of tensorial analysis of networks (TAN) based on Kron's and Kron-Branin's methods adapted for the EMC use by O. Maurice. The TAN approach is applied to the PCB SI and electromagnetic compatibility (EMC) analysis.

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.

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.

Hydrogen is a key vector of decarbonized energy systems. It can be used as long term and seasonal storage for electricity itself, as well as in the automotive sector, for space heating and for the chemical industry.

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. 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.

This edited book explores the use of mobile technologies such as phones, drones, robots, apps, and wearable monitoring devices for improving access to healthcare for socially disadvantaged populations in remote, rural or developing regions. This book brings together examples of large scale, international projects from developing regions of China and Belt and Road countries from researchers in Australia, Bangladesh, Denmark, Norway, Japan, Spain, Thailand and China. The chapters discuss the challenges presented to those seeking to deploy emerging mobile technologies (e.g., smartphones, IoT, drones, robots etc.) for healthcare (mHealth) in developing countries and discuss the solutions undertaken in these case study projects.

A Guide to MATLAB® Object-Oriented Programming is the first book to deliver broad coverage of the documented and undocumented object-oriented features of MATLAB®. Unlike the typical approach of other resources, this guide explains why each feature is important, demonstrates how each feature is used, and promotes an understanding of the interactions between features.

As big data becomes increasingly pervasive and cloud computing utilization becomes the norm, the security and privacy of our systems and data becomes more critical with emerging security and privacy threats and challenges. This book presents a comprehensive view on how to advance security and privacy in big data, cloud computing, and their applications. Topics include cryptographic tools, SDN security, big data security in IoT, privacy preserving in big data, security architecture based on cyber kill chain, privacy-aware digital forensics, trustworthy computing, privacy verification based on machine learning, and chaos-based communication systems. This book is an essential reading for networking, computing, and communications professionals, researchers, students and engineers, working with big data and cloud computing.

A book for engineers who design and build filters of all types, including lumped element, coaxial, helical, dielectric resonator, stripline and microstrip types. A thorough review of classic and modern filter design techniques, containing extensive practical design information of passband characteristics, topologies and transformations, component effects and matching. An excellent text for the design and construction of microstrip filters.

This second edition of the number one guide to oscillator design presents a comprehensive, unified approach to oscillator design that can be used with a wide range of active devices and resonator types. Resonator types covered include: L-C, crystal, SAW, dielectric resonator, coaxial line, stripline and microstrip. This text covers modern CAD synthesis and analysis techniques and is valuable to experienced engineers as well as to those new to oscillator design. The books topics include: Analysis fundamentals, oscillator fundamentals, limiting and starting, biasing, noise, computer simulation and examples and case studies.

Phase-Locked Frequency Generation and Clocking covers essential topics and issues in current Phase-Locked Loop design, from a light touch of fundamentals to practical design aspects. Both wireless and wireline systems are considered in the design of low noise frequency generation and clocking systems. Topics covered include architecture and design, digital-intensive Phase-Locked Loops, low noise frequency generation and modulation, clock-and-data recovery, and advanced clocking and clock generation systems.

Renewable energy is key to stopping climate change, however, the intermittent nature of most forms of renewable energy generation poses a challenge. Energy storage is therefore a focus of research and development, particularly for urban areas with their limited space and high population density, which results in massive demand for both small distributed and utility-scale generation. Such locations require thorough integration of storage, with the urban energy system treated as a whole, and sufficient planning, sizing and siting, and upgrades to the existing power grid hardware.

The second edition of Principles of Modern Radar Volume 1: Basic Principles is a comprehensive textbook for courses on radar systems and technology at the college senior and graduate student level. It is also a professional training and self-study textbook for engineers switching to a career in radar as well as a professional reference for current radar engineers. It is unique in its breadth of coverage, its emphasis on current methods and its careful balance of qualitative explanation and quantitative rigor appropriate to its intended audience.

Principles of Modern Radar: Basic Principles is a comprehensive and modern textbook for courses in radar systems and technology at the college senior and graduate student level; a professional training textbook for formal in-house courses for new hires; a reference for ongoing study following a radar short course; and a self-study and professional reference book.

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.

Edited by two recognised experts, this book in two volumes provides a comprehensive overview of integrated optics, from modelling to fabrication, materials to integration platforms, and characterization techniques to applications. The technology is explored in detail, and set in a broad context that addresses a range of current and potential future research and development trends.

Edited by two recognised experts, this book in two volumes provides a comprehensive overview of integrated optics, from modelling to fabrication, materials to integration platforms, and characterization techniques to applications. The technology is explored in detail, and set in a broad context that addresses a range of current and potential future research and development trends.

Edited by two recognised experts, this book provides a comprehensive overview of integrated optics, from modelling to fabrication, materials to integration platforms, and characterization techniques to applications. The technology is explored in detail, and set in a broad context that addresses a range of current and potential future research and development trends.

Unmanned marine vehicles (UMVs) is a collective term used to describe autonomous underwater vehicles, remotely operated vehicles, semi-submersibles, and unmanned surface craft. Considerable interest has been shown in UMVs by the military, civilian and scientific communities due to their ability to undertake designated missions whilst either operating autonomously and/or on co-operation with other types of vehicle. Increasing importance is also being placed on the design and development of such vehicles as they are capable of providing cost effective solutions to a number of littoral, coastal and offshore problems. This book draws attention to the advanced technology which is evolving to meet the challenges being posed in this exciting and growing field of study.

The previous volume Advances in Unmanned Marine Vehicles brought together eighteen chapters describing research and developments in unmanned marine vehicles (UMVs). It was observed that almost without exception research groups worldwide were developing and working on real UMVs which means that they are able to test, evaluate and re-evaluate their designs in relatively quick succession, thereby rapidly reporting new approaches, techniques, designs and successes. This rapid design-evaluation cycle is the prime mover for progress, not only for consolidating designs but also leading to new design ideas and innovation. Since its publication in 2006, Advances in Unmanned Marine Vehicles has proven to be a useful and popular source of reference. However, the rapid design-evaluation cycle means further advances have been made which need to be reported. Thus, the seventeen chapters contained in this volume cover further advances in autonomous underwater vehicles, remotely operated vehicles, semi-submersibles, unmanned surface vessels whilst operating autonomously and/or in co-operation with other types of UMV. This book will be of interest to undergraduates, postgraduates, researchers and industrialists who are involved in the design and development of UMVs.

RFIC and MMIC technology provides the core components for many microwave and millimetre-wave communications, radar and sensing systems. Recent years have seen exciting developments, such as circuits operating to over 200 GHz, millimetre-wave micromachined antenna arrays and microelectromechanical systems (MEMS). At the same time, the rapid growth of wireless communications in the 1 to 6 GHz range has seen a dramatic shift towards advanced silicon technology. It is timely, therefore, to introduce this fully up-to-date second edition of a world-renowned standard text.

This book contains a thorough treatment of phase noise, its relationship to thermal noise and associated subjects such as frequency stability. The design of low phase noise signal sources, including oscillators and synthesisers, is explained and in many cases the measured phase noise characteristics are compared with the theoretical predictions. Full theoretical treatments are combined with physical explanations, helpful comments, examples of manufactured equipment and practical tips.

Motivated by consumer demand for smaller, more portable electronic devices that offer more features and operate for longer on their existing battery packs, cutting edge electronic circuits need to be ever more power efficient. For the circuit designer, this requires an understanding of the latest low voltage and low power (LV/LP) techniques, one of the most promising of which makes use of the floating gate MOS (FGMOS) transistor.

In this book, the authors focus on efficient ways to program instrumentation and automation systems using LabVIEW™, a system design platform and development environment commonly used for data acquisition, instrument control, and industrial automation on a variety of operating systems.

The optical fiber industry has experienced a period of consolidation and reorganization and is now poised for a new surge in growth. To take advantage of that growth, and to respond to the demand to use fiber more efficiently, designers need a better understanding of fiber optics. Taking the approach that optical fibers are an extension of RF-based communications, the author explains basic optical concepts, applications, and systems; the nature and performance characteristics of optical fibers; and optical sources, connectors and splices. Subsequent chapters explore current applications of fiber optic technology. Appropriate for use as a college text, this is an accessible and thorough treatment of fiber optics, without an intimidating amount of mathematical derivations.

District energy (DE) systems use central heating and/or cooling facilities to provide heating and/or cooling services for communities and can be particularly beneficial when integrated with cogeneration plants for electricity and heat. This book provides information on district energy and cogeneration technologies, and the systems that combine them, with a focus on their modelling, analysis and optimization.

The first maritime surveillance radars in World War II quickly discovered that returns from the sea, soon to be known as sea clutter, were often the limiting factor when attempting to detect small targets while controlling false alarms. This remains true for modern radars, where the detection of small, slow moving targets on a rough sea surface remains one of the main drivers for maritime radar design, particularly in the development of detection processing.

Magnetic field sensors have made significant advances over the past decade, and have found commercial importance in ubiquitous systems with navigation needs such as mobile phones - every mobile phone now contains a vectorial magnetic field sensor. This book provides a comprehensive introduction to the underlying theory of magnetic-field microsensors, their construction, and current and future applications. Written by leading experts in the development of these sensors, this book is essential reading for academics and advanced students working in sensor design and application.

Low-voltage equipment is designed for handling low voltages at consumer-level. This includes computing and telecommunications systems, power distribution grids and PV systems, and EV charging facilities.

Uncertainty Quantification of Electromagnetic Devices, Circuits, and Systems describes the advances made over the last decade in the topic of uncertainty quantification (UQ) and stochastic analysis. The primary goal of the book is to educate and inform electronics engineers about the most recent numerical techniques, mathematical theories, and computational methods to perform UQ for electromagnetic devices, circuits, and systems.

Electromagnetic waves are guided by open structures in a variety of applications at radio, microwave, millimetric and optical frequencies. Examples range from the propogation of radiowaves down the shaft of an oil rig to that of light through an optical fibre. As the guide is open, radiation may also be present, for example from a microstrip-fed patch or a slot antenna. These twin aspects of waveguiding and radiation are in fact closely interwoven and this book is the first to deal with the two by means of a single mathematical formalism.

Historically, electromagnetics and complex circuit modelling existed as separate disciplines, each with their own tools, models and even languages. More recently, however, the emergence of very high-speed digital circuits and pressure on the telecommunications market to move towards microwave and millimetre wave bands are increasing the need to find ways to combine the two fields.

Intelligent Control techniques are becoming important tools in both academia and industry. Methodologies developed in the field of soft-computing, such as neural networks, fuzzy systems and evolutionary computation, can lead to accommodation of more complex processes, improved performance and considerable time savings and cost reductions. Intelligent Control Systems using Computational Intellingence Techniques details the application of these tools to the field of control systems. Each chapter gives and overview of current approaches in the topic covered, with a set of the most important references in the field, and then details the author's approach, examining both the theory and practical applications.

• Authored by a multi-national group of antenna experts of international standing.
• Presents the principles and applications of antenna design, with emphasis upon key developments in the last 15 years.
• Fundamental background theory and analytical techniques explained in detail where appropriate.
• Includes extensive design data and numerous examples of practical application.
• Deals with a very wide range of antenna types, operating from very low frequencies to millimetre waves.
• New measurement techniques described in detail.
• Covers associated topics such as radomes, array signal processing and coaxial components.
• Includes design data for antennas for satellite and terrestrial communications, radar, mobile communications and broadcasting.

• Authored by a multi-national group of antenna experts of international standing.
• Presents the principles and applications of antenna design, with emphasis upon key developments in the last 15 years.
• Fundamental background theory and analytical techniques explained in detail where appropriate.
• Includes extensive design data and numerous examples of practical application.
• Deals with a very wide range of antenna types, operating from very low frequencies to millimetre waves.
• New measurement techniques described in detail.
• Covers associated topics such as radomes, array signal processing and coaxial components.
• Includes design data for antennas for satellite and terrestrial communications, radar, mobile communications and broadcasting.

This book provides an extensive review of recent developments in SF₆ Switchgear and covers fundamental properties of SF₆ interrupter types, characteristics and associated operating mechanisms, arc modelling and computer aided methods for interrupter design and evaluation. The impact of SF₆ Technology upon (i) Transmission Switchgear (ii) Distribution and Utility Switchgear and (iii) Regulations, Testing and Instrumentation is dealt with comprehensively.

Based on a successful IEE International Vacation School series, this book aims to give an appreciation of present day high voltage transmission and distribution systems.

This 3rd edition of High Voltage Engineering Testing describes strategic developments in the field and reflects on how they can best be managed. All the key components of high voltage and distribution systems are covered including electric power networks, UHV and HV. Distribution systems including HVDC and power electronic systems are also considered. In the book, particular consideration is given to recent developments in UHV, AC and DC transmission systems abroad. Recent developments in renewable energy techniques and environmental issues are also discussed and assessed. This new edition gives details of design and testing techniques and considers recent developments in testing and measuring technology and reviews them together with appropriate strategic technological assessments of some applications.