Based on interdisciplinary research into "Directional Change", a new data-driven approach to financial data analysis, Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading applies machine learning to financial market monitoring and algorithmic trading. Directional Change is a new way of summarising price changes in the market. Instead of sampling prices at fixed intervals (such as daily closing in time series), it samples prices when the market changes direction ("zigzags"). By sampling data in a different way, this book lays out concepts which enable the extraction of information that other market participants may not be able to see. The book includes a Foreword by Richard Olsen and explores the following topics: Data science: as an alternative to time series, price movements in a market can be summarised as directional changes Machine learning for regime change detection: historical regime changes in a market can be discovered by a Hidden Markov Model Regime characterisation: normal and abnormal regimes in historical data can be characterised using indicators defined under Directional Change Market Monitoring: by using historical characteristics of normal and abnormal regimes, one can monitor the market to detect whether the market regime has changed Algorithmic trading: regime tracking information can help us to design trading algorithms It will be of great interest to researchers in computational finance, machine learning and data science. About the Authors Jun Chen received his PhD in computational finance from the Centre for Computational Finance and Economic Agents, University of Essex in 2019. Edward P K Tsang is an Emeritus Professor at the University of Essex, where he co-founded the Centre for Computational Finance and Economic Agents in 2002.

The need for both intrinsic and extrinsic fiber-optic sensor technologies continues to grow. To meet the demands of this fast-expanding applications-driven market, this book, Fiber-Optic-Based Sensing Systems, presents both the latest advances in fiber-optic sensor technology, such as applications of photonic crystal fibers to fiber optic gyroscopes and recent application opportunities, including the use of fiber optic sensors as a minimally invasive medical treatment and in structural health monitoring. The book highlights the development of fiber optic sensors while also providing an overview of current methods for the construction of high-speed and high-capacity fiber-optic systems. It provides a thorough presentation of novel fiber-optic based sensing systems with state-of-the-art signal processing of the interferometric signals. Key features: Highlights the uniqueness of the fiber-optics sensors Presents state-of-the-art technology in optical fiber sensors Discusses a variety of fiber-optic topologies Considers different detection techniques Gives special attention to distributed fiber-optic sensing systems Dealing with the applicative aspects of using optical fibers as the sensing medium as well as the medium for transmitting the corresponding optical signals to the receiving unit, the book discusses the basic optical phenomena with their main emphasis on applying the optical knowledge for solving real-life engineering problems. Basic tools and concepts are presented in the earlier chapters, which are then developed in more detail in the later chapters. The book is organized in seven chapters covering a broad range of fiber-optical sensing phenomena. Written for undergraduate and graduate students who want to broaden their knowledge of fiber-optic sensing system applications to the real-life engineering problems, the volume is also valuable for engineers who want to acquire the basic principles of optics, especially fiber-optics.

This book discusses the technological aspects for the implementation of Society 5.0. The foundation and recent advances of emerging technologies such as artificial intelligence, data science, Internet of Things, and Big Data for the realization of Society 5.0 are covered. Practical solutions to existing problems, examples, and case studies are also offered. Society 5.0 and the Future of Emerging Computational Technologies: Practical Solutions, Examples, and Case Studies discusses technologies such as machine learning, artificial intelligence, and Internet of Things for the implementation of Society 5.0. It offers a firm foundation and understanding of the recent advancements in various domains such as data analytics, neural networks, computer vision, and robotics, along with practical solutions to existing problems in fields such as healthcare, manufacturing industries, security, and infrastructure management. Applications and implementations are highlighted along with the correlation between technologies. Examples and case studies are presented throughout the book to augment text. This book can be used by research scholars in the engineering domain who wish to gain knowledge and contribute towards a modern and secure future society. The book will also be useful as a reference at universities for postgraduate students who are interested in technological advancements.

This new edition of Infrared and Terahertz Detectors provides a comprehensive overview of infrared and terahertz detector technology, from fundamental science to materials and fabrication techniques. It contains a complete overhaul of the contents including several new chapters and a new section on terahertz detectors and systems. It includes a new tutorial introduction to technical aspects that are fundamental for basic understanding. The other dedicated sections focus on thermal detectors, photon detectors, and focal plane arrays.

This book describes and compares both the IPv4 and IPv6 versions of OSPF and IS-IS. It explains OSPF and IS-IS by grounding the analysis on the principles of Link State Routing (LSR). It deliberately separates principles from technologies. Understanding the principles behind the technologies makes the learning process easier and more solid. Moreover, it helps uncovering the dissimilarities and commonalities of OSPF and IS-IS and exposing their stronger and weaker features. The chapters on principles explain the features of LSR protocols and discuss the alternative design options, independently of technologies. The chapters on technologies provide a comprehensive description of OSPF and IS-IS with enough detail for professionals that need to work with these technologies. The final part of the book describes and discusses a large set of experiments with Cisco routers designed to illustrate the various features of OSPF and IS-IS. In particular, the experiments related to the synchronization mechanisms are not usually found in the literature.

This seventh edition of Fitzgerald and Kingsley's Electric Machinery by Stephen Umans was developed recognizing the strength of this classic text since its first edition has been the emphasis on building an understanding of the fundamental physical principles underlying the performance of electric machines. Much has changed since the publication of the first edition, yet the basic physical principles remain the same, and this seventh edition is intended to retain the focus on these principles in the context of today's technology.

The book gives an in-depth study of the principles of the spread spectrum techniques and their applications in mobile communications. It starts with solid foundations in the digital communications that are essential to unequivocal understanding of the CDMA technology, and guides the reader through the fundamentals and characteristics of cellular CDMA communications.
Features include:
* A very clear and thorough description of the principles and applications of spread spectrum techniques in multi-user mobile communications.
* Matlab-based worked examples, exercises and practical sessions to clearly explain the theoretical concepts.
* An easy-to-read explanation of the air interface standards used in IS-95 A/B, cdma2000, and 3G WCDMA.
* Clear presentations of the high speed downlink and uplink packet access (HSDPA/HSUPA) techniques used in 3G WCDMA.
The book is a very suitable introduction to the principles of CDMA communications for senior undergraduate and graduate students, as well researchers and engineers in industry who are looking to develop their expertise.
* A very clear and thorough description of the principles and applications of spread spectrum techniques in multi-user mobile communications.
* Matlab-based worked examples, exercises and practical sessions to clearly explain the theoretical concepts.
* An easy-to-read explanation of the air interface standards used in IS-95 A/B, cdma2000, and 3G WCDMA.
* Clear presentations of the high speed downlink and uplink packet access (HSDPA/HSUPA) techniques used in 3G WCDMA.

Handbook of Artificial Intelligence in Biomedical Engineering focuses on recent AI technologies and applications that provide some very promising solutions and enhanced technology in the biomedical field. Recent advancements in computational techniques, such as machine learning, Internet of Things (IoT), and big data, accelerate the deployment of biomedical devices in various healthcare applications. This volume explores how artificial intelligence (AI) can be applied to these expert systems by mimicking the human expert's knowledge in order to predict and monitor the health status in real time. The accuracy of the AI systems is drastically increasing by using machine learning, digitized medical data acquisition, wireless medical data communication, and computing infrastructure AI approaches, helping to solve complex issues in the biomedical industry and playing a vital role in future healthcare applications. The volume takes a multidisciplinary perspective of employing these new applications in biomedical engineering, exploring the combination of engineering principles with biological knowledge that contributes to the development of revolutionary and life-saving concepts.

This book gives the fundamental principles and device design techniques for surface acoustic wave filters. It covers the devices in widespread use today: bandpass and pulse compression filters, correlators and non-linear convolvers and resonators. The newest technologies for low bandpass filters are fully covered such as unidirectional transducers, resonators in impedance element filters, resonators in double-mode surface acoustic wave filters and transverse-coupled resonators using waveguides.
The book covers the theory of acoustic wave physics, the piezoelectric effect, electrostatics at a surface, effective permittivity, piezoelectric SAW excitation and reception, and the SAW element factor. These are the main requirements for developing quasi-static theory, which gives a basis for the non-reflective transducers in transversal bandpass filters and interdigital pulse compression filters. It is also needed for the reflective transducers used in the newer devices.
* A thorough revision of a classic on surface acoustic wave filters first published in 1985 and still in print
* Uniquely combines easy -to -understand principles with practical design techniques for all the devices in widespread use today
* Complete coverage of all the latest devices which are key to mobile phones, TVs and radar systems
* Includes a new foreword by Sir Eric Albert Ash

Advances in Imaging and Electron Physics merges two long-running serials-Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. This series features extended articles on the physics of electron devices (especially semiconductor devices), particle optics at high and low energies, microlithography, image science and digital image processing, electromagnetic wave propagation, electron microscopy, and the computing methods used in all these domains.

The book Digital Health Transformation with Blockchain and Artificial Intelligence covers the global digital revolution in the field of healthcare sector. The population has been overcoming the COVID-19 period; therefore, we need to establish intelligent digital healthcare systems using various emerging technologies like Blockchain and Artificial Intelligence. Internet of Medical Things is the technological revolution that has included the element of "smartness" in the healthcare industry and also identifying, monitoring, and informing service providers about the patient's clinical information with faster delivery of care services. This book highlights the important issues i.e. (a) How Internet of things can be integrated with the healthcare ecosystem for better diagnostics, monitoring, and treatment of the patients, (b) Artificial Intelligence for predictive and preventive healthcare systems, (c) Blockchain for managing healthcare data to provide transparency, security, and distributed storage, and (d) Effective remote diagnostics and telemedicine approach for developing smart care. The book encompasses chapters belong to the blockchain, Artificial Intelligence, and Big health data technologies. Features: Blockchain and internet of things in healthcare systems Secure Digital Health Data Management in Internet of Things Public Perception towards AI-Driven Healthcare Security, privacy issues and challenges in adoption of smart digital healthcare Big data analytics and Internet of things in the pandemic era Clinical challenges for digital health revolution Artificial intelligence for advanced healthcare Future Trajectory of Healthcare with Artificial Intelligence 9 Parkinson disease pre-diagnosis using smart technologies Emerging technologies to combat the COVID-19 Machine Learning and Internet of Things in Digital Health Transformation Effective Remote Healthcare and Telemedicine Approaches Legal implication of blockchain technology in public health This Book on "Digital Health Transformation with Blockchain and Artificial Intelligence" aims at promoting and facilitating exchanges of research knowledge and findings across different disciplines on the design and investigation of secured healthcare data analytics. It can also be used as a textbook for a Masters course in security and biomedical engineering. This book will also present new methods for the medical data analytics, blockchain technology, and diagnosis of different diseases to improve the quality of life in general, and better integration into digital healthcare.

This title provides a unique theoretical framework for multi-mode resonant antennas and different approaches to their implementation, with an emphasis on mode gauge functionality, a new concept for a clear identification and flexible control of all usable resonant modes in multi-mode resonant antenna design. The book commences by advancing a generalized odd-even mode theory as a general theoretical framework for resonant elementary antennas, offering new insights into the classical problem of coupling effects between antenna and transmission lines and helping reveal the operation mechanism of elementary antennas under multi-mode resonance. Then, the concept of "mode gauge" is developed and employed for wideband elementary antenna design by simultaneously exciting and tuning multiple resonant modes within a single radiator. Apart from theoretical explorations, the authors also provide analysis of up-to-date implementation of multi-mode resonant elementary antennas with different functionalities, including wideband antennas, circularly polarized antennas, multiband antennas, frequency scanning antennas and low-profile antennas. Academics, students and professional engineers at all levels will greatly benefit from the book and will be provided with historical background, state-of-the-art methodology, useful design tools and multiple applications of multi-mode resonant antennas.

Since its recent introduction, the ZigBee protocol has created an enormous amount of buzz in venues from magazine covers to trade show floors to water coolers. Its promise of providing a simpler, cheaper, more power-efficient WPAN (Wireless Personal Area Network) alternative to WiFi and Bluetooth has opened up new data collection possibilities in application areas from industrial controls to medical devices to intruder alarms. Yet, despite this widespread interest, there is still little information available that goes beyond detailing the spec itself. Missing from the current ZigBee lexicon is practical, application-oriented guidance from an expert, specifically geared to aid engineers in implementing this new technology. Enter respected designer and popular columnist Fred Eady! With his new book, he provides the only comprehensive how-to ZigBee guide available.
-The ONLY one-stop Zigbee resource available- from basics to sniffers to specs
-7 easy-to-assemble ZigBee projects allow the reader to follow along...hands-on!
-Working hardware and software examples included in every chapter

A large amount of natural or artificially produced physical phenomena are exploited for practical applications, even though several of them give rise to unpleasant consequences. These ultimately manifest themselves under form of malfunction or definitive failure of components and systems, or environmental hazard. So far, manifold categories of inadvertent or deliberate sources have been discovered to simultaneously produce useful effects in some ways but adverse ones in others. In particular, responsible for the growing interest in the last decades for Electromagnetic Compatibility (EMC) has been the progressive miniaturisation and sensitivity of electronic components and circuits, often operating in close proximity to relatively powerful sources of electromagnetic interference. Potential authors of books on the subject-matter are fully aware of the fact that planning production of manageable handbooks capable to treat all the EMC case studies of practical and long-lasting interest could result in a questionable and difficult undertaking. Therefore, in addition to textbooks providing a thorough background on basic aspects, thus being well-tailored for students and those which want to get in contact with this discipline, the most can be made to jointly sustain a helpful and practicable publishing activity is to supply specialised monographs or miscellanies of selected topics. Such resources are preferentially addressed to post-graduate students, researchers and designers, often employed in the forefront of research or engaged for remodelling design paradigms. Hence, the prerequisite for such a class of publications should consist in arousing critical sense and promoting new ideas. This is the object of the present book which tries to rather discuss special subjects, or throw out suggestions for reformulating conventional approaches, than to appear as a reference text. A common motivation encouraged the contributors to bringing together a number of accounts of the research that they have undertaken over the late years: willing to fill the important need of covering EMC topics rather proper to transmission and distribution of electric power than, more usually, to Electronics and Telecommunication Systems.
- EMC topics for Power Systems, at last
- Investigating EMC features of distributed and/or complex systems.
- A broad body of knowledge for specific applications.
- A stimulating support for those which are engaged in the forefront of research and design.
- An example of how breaking ideas should be encouraged and proudly applied.
- A fruitful critique to overcomplicated and unpractical models.
- A comprehensive resource to estimate the important role of EMC at lower frequencies.

Increase the efficient use of time-varying available spectrum with this unique book, the first to describe RF hardware design for white space applications, including both analog and digital approaches. Emerging technologies are discussed and signal processing issues are addressed, providing the background knowledge and practical tools needed to develop future radio technologies. Real-world examples are included, together with global spectrum regulations and policies, for a practical approach to developing technologies for worldwide applications. Cross analog and digital design guidelines are provided to help cut design time and cost. This holistic, system level view of transceiver design for white space technologies is ideal for practising engineers and students and researchers in academia.

As demand for applications working in extended frequency ranges increases, classical digital signal processing (DSP) techniques, not protected against aliasing, are becoming less effective. Digital alias-free signal processing (DASP) is a technique for overcoming the problems of aliasing at extended frequency ranges. Based on non-uniform or randomised sampling techniques and the development of novel algorithms, it creates the capacity to suppress potential aliasing crucial for high frequency applications and to reduce the complexity of designs.

This book provides practical and comprehensive coverage of the theory and techniques behind alias-free digital signal processing.

Digital Alias-free Signal Processing is ideal for practising engineers and researchers working on the development of digital signal processing applications at extended frequencies. It is also a valuable reference for electrical and computer engineering graduates taking courses in signal processing or digital signal processing.

Key features: Analyses issues of sampling, randomised and pseudo-randomised quantisation and direct and indirectly randomised sampling. Examines periodic and hybrid sampling, including information on processing algorithms and potential limitations imposed by signal dynamics. Sets out leading methods and techniques for complexity reduced designs, in particular designs of large aperture sensor arrays, massive data acquisition and compression from a number of signal sources, as well as complexity-reduced processing of non-uniform data. Presents examples of engineering applications using these techniques including spectrum analysis, waveform reconstruction and the estimation of variousparameters, emphasising the importance of the technique for developing new technologies. Links DASP and traditional technologies by mapping them into embedded systems with standard inputs and outputs.

This book offers an intuitive approach to random processes and educates the reader on how to interpret and predict their behavior. Premised on the idea that new techniques are best introduced by specific, low-dimensional examples, the mathematical exposition is easier to comprehend and more enjoyable, and it motivates the subsequent generalizations. It distinguishes between the science of extracting statistical information from raw data--e.g., a time series about which nothing is known a priori--and that of analyzing specific statistical models, such as Bernoulli trials, Poisson queues, ARMA, and Markov processes. The former motivates the concepts of statistical spectral analysis (such as the Wiener-Khintchine theory), and the latter applies and interprets them in specific physical contexts. The formidable Kalman filter is introduced in a simple scalar context, where its basic strategy is transparent, and gradually extended to the full-blown iterative matrix form.

Metaheuristic algorithms are considered as generic optimization tools that can solve very complex problems characterized by having very large search spaces. Metaheuristic methods reduce the effective size of the search space through the use of effective search strategies. Book Features: Provides a unified view of the most popular metaheuristic methods currently in use Includes the necessary concepts to enable readers to implement and modify already known metaheuristic methods to solve problems Covers design aspects and implementation in MATLAB (R) Contains numerous examples of problems and solutions that demonstrate the power of these methods of optimization The material has been written from a teaching perspective and, for this reason, this book is primarily intended for undergraduate and postgraduate students of artificial intelligence, metaheuristic methods, and/or evolutionary computation. The objective is to bridge the gap between metaheuristic techniques and complex optimization problems that profit from the convenient properties of metaheuristic approaches. Therefore, engineer practitioners who are not familiar with metaheuristic computation will appreciate that the techniques discussed are beyond simple theoretical tools, since they have been adapted to solve significant problems that commonly arise in such areas.

- the author is in the BIMA Hall of Fame and is Chief Technology & Innovation Officer at Ernst & Young - the book explains the current state of AI and how it is governed, as well as detailing five potential futures involving AI and providing a clear Roadmap to manage the future of AI - easy and fun to read

The Lean Approach to Digital Transformation: From Customer to Code and From Code to Customer is organized into three parts that expose and develop the three capabilities that are essential for a successful digital transformation: 1. Understanding how to co-create digital services with users, whether they are customers or future customers. This ability combines observation, dialogue, and iterative experimentation. The approach proposed in this book is based on the Lean Startup approach, according to an extended vision that combines Design Thinking and Growth Hacking. Companies must become truly "customer-centric", from observation and listening to co-development. The revolution of the digital age of the 21st century is that customer orientation is more imperative -- the era of abundance, usages rate of change, complexity of experiences, and shift of power towards communities -- are easier, using digital tools and digital communities. 2. Developing an information system (IS) that is the backbone of the digital transformation - called "exponential information system" to designate an open IS (in particular on its borders), capable of interfacing and combining with external services, positioned as a player in software ecosystems and built for processing scalable and dynamic data flows. The exponential information system is constantly changing and it continuously absorbs the best of information processing technology, such as Artificial Intelligence and Machine Learning. 3. Building software "micro-factories" that produce service platforms, which are called "Lean software factories." This "software factory" concept covers the integration of agile methods, tooling and continuous integration and deployment practices, a customer-oriented product approach, and a platform approach based on modularity, as well as API-based architecture and openness to external stakeholders. This software micro-factory is the foundation that continuously produces and provides constantly evolving services. These three capabilities are not unique or specific to this book, they are linked to other concepts such as agile methods, product development according to lean principles, software production approaches such as CICD (continuous integration and deployment) or DevOps. This book weaves a common frame of reference for all these approaches to derive more value from the digital transformation and to facilitate its implementation. The title of the book refers to the "lean approach to digital transformation" because the two underlying frameworks, Lean Startup and Lean Software Factory, are directly inspired by Lean, in the sense of the Toyota Way. The Lean approach is present from the beginning to the end of this book -- it provides the framework for customer orientation and the love of a job well done, which are the conditions for the success of a digital transformation.

Borate-based phosphors have attracted much attention, due to their high optical stability, low-cost synthesis via conventional and non-conventional methods and resulting technology to be environmentally friendly. This book discusses the structural and chemical parameters of borates as a phosphor including suitable synthesis methods and proper characterization of materials. Further, it includes applications of borate materials such as photoluminescence, UV application, UVU application, photo therapy application and radiological applications. Features: Provides information on borate phosphors and their structure. Aids selection of proper structural and functional borates used in applications based on phosphor technology. Discloses the modification in properties of borate functional group upon mixing or substitution with other metallic functional groups. Discusses biological applications such as photo-thermal heating-based therapy, temperature sensors, imaging, and diagnosis. Includes current trends and innovations, limitations and challenges, prospects, and scope in each chapter. This book is aimed at researchers and graduate students in inorganic materials, luminescent/optical materials, materials science/engineering, and physics.

Covers novel semiconductor devices with sub-micron dimensions. Discusses comprehensive device optimization techniques. Examines the conceptualization and modeling of semiconductor devices. Covers circuit and sensor-based application of the novel devices. Discusses novel materials for next-generation devices.

The notion of swarm intelligence was introduced for describing decentralized and self-organized behaviors of groups of animals. Then this idea was extrapolated to design groups of robots which interact locally to cumulate a collective reaction. Some natural examples of swarms are as follows: ant colonies, bee colonies, fish schooling, bird flocking, horse herding, bacterial colonies, multinucleated giant amoebae Physarum polycephalum, etc. In all these examples, individual agents behave locally with an emergence of their common effect. An intelligent behavior of swarm individuals is explained by the following biological reactions to attractants and repellents. Attractants are biologically active things, such as food pieces or sex pheromones, which attract individuals of swarm. Repellents are biologically active things, such as predators, which repel individuals of swarm. As a consequence, attractants and repellents stimulate the directed movement of swarms towards and away from the stimulus, respectively. It is worth noting that a group of people, such as pedestrians, follow some swarm patterns of flocking or schooling. For instance, humans prefer to avoid a person considered by them as a possible predator and if a substantial part of the group in the situation of escape panic (not less than 5%) changes the direction, then the rest follows the new direction, too. Some swarm patterns are observed among human beings under the conditions of their addictive behavior such as the behavior of alcoholics or gamers. The methodological framework of studying swarm intelligence is represented by unconventional computing, robotics, and cognitive science. In this book we aim to analyze new methodologies involved in studying swarm intelligence. We are going to bring together computer scientists and cognitive scientists dealing with swarm patterns from social bacteria to human beings. This book considers different models of simulating, controlling, and predicting the swarm behavior of different species from social bacteria to humans.

This book highlights the state-of-the-art research on data usage, security, and privacy in the scenarios of the Internet of Things (IoT), along with related applications using Machine Learning and Big Data technologies to design and make efficient Internet-compatible IoT systems. ICT and Data Sciences brings together IoT and Machine Learning and provides the careful integration of both, along with many examples and case studies. It illustrates the merging of two technologies while presenting basic to high-level concepts covering different fields and domains such as the Hospitality and Tourism industry, Smart Clothing, Cyber Crime, Programming, Communications, Business Intelligence, all in the context of the Internet of Things. The book is written for researchers and practitioners, working in Information Communication Technology and Computer Science.

A comprehensive reference book for detailed explanations for every algorithm and techniques related to the transformers. 60+ transformer architectures covered in a comprehensive manner. A book for understanding how to apply the transformer techniques in speech, text, time series, and computer vision. Practical tips and tricks for each architecture and how to use it in the real world. Hands-on case studies and code snippets for theory and practical real-world analysis using the tools and libraries, all ready to run in Google Colab.