This book describes in detail the construction and working principle of a variety of commercially available hysteresis machines. The last part of the book is devoted to a comprehensive study of an experimental hysteresis machine. The contents of this part derive entirely from the experimental and analytical work carried out by the author during his doctoral research at the University of Aston in the UK. The exhaustive range of tests and measurements, obtained by the use of uniquely devised transducers and techniques-many of these having been evolved for the first time-showcase numerous aspects of a hysteresis machine. These relate mainly to the measured waveforms of radial and peripheral flux density in the airgap and active part of the rotor as influenced by the hysteretic properties of the rotor material. Print edition not for sale in South Asia (India, Sri Lanka, Nepal, Bangladesh, Pakistan or Bhutan).

2D Materials for Infrared and Terahertz Detectors provides an overview of the performance of emerging detector materials, while also offering, for the first time, a comparison with traditional materials used in the fabrication of infrared and terahertz detectors. Since the discovery of graphene, its applications to electronic and optoelectronic devices have been intensively researched. The extraordinary electronic and optical properties allow graphene and other 2D materials to be promising candidates for infrared (IR) and terahertz (THz) photodetectors, and yet it appears that the development of new detectors using these materials is still secondary to those using traditional materials. This book explores this phenomenon, as well as the advantages and disadvantages of using 2D materials. Special attention is directed toward the identification of the most-effective hybrid 2D materials in infrared and terahertz detectors, as well as future trends. Written by one of the world's leading researchers in the field of IR optoelectronics, this book will be a must-read for researchers and graduate students in photodetectors and related fields. Features * Offers a comprehensive overview of the different types of 2D materials used in fabrication of IR and THz detectors, and includes their advantages/disadvantages * The first book to compare new detectors to a wide family of common, commercially available detectors that use traditional materials.

This new volume, Deep Learning in Visual Computing and Signal Processing, covers the fundamentals and advanced topics in designing and deploying techniques using deep architectures and their application in visual computing and signal processing. The volume first lays out the fundamentals of deep learning as well as deep learning architectures and frameworks. It goes on to discuss deep learning in neural networks and deep learning for object recognition and detection models. It looks at the various specific applications of deep learning in visual and signal processing, such as in biorobotics, for automated brain tumor segmentation in MRI images, in neural networks for use in seizure classification, for digital forensic investigation based on deep learning, and more. Key features: Covers both the fundamentals and the latest concepts in deep learning Presents some of the diverse applications of deep learning in visual computing and signal processing Includes over 90 figures and tables to elucidate the text An enlightening amalgamation of deep learning concepts with visual computing and signal processing applications, this valuable resource will serve as a guide for researchers, engineers, and students who want to have a quick start on learning and/or building deep learning systems. It provides a good theoretical and practical understanding and complete information and knowledge required to understand and build deep learning models from scratch.

Harnessing the Internet of Things (IoT) for Hyper-Connected Smart World explores a multitude of diverse IoT applications that provide advanced solutions for real-world problems. IoT offers tremendous potential to incorporate data-driven decision-making into every aspect of human activity, and this volume explores its use in agriculture, education, worker safety, health care, energy harvesting, and more. In addition, several chapters explore ways to improve and maintain higher performance in IoT. The diverse selection of topics addressed in the book include network on chip (NoC) as the new paradigm for system on chip (SoC) integration for maintaining high performance for IoT applications; new router designs to increase speed; the challenges of wireless underground sensor networks (WUSNs), which have a wide range of applications in military, underground sensing, testing soil traits and moisture content, pollution control and location detection, security, and detection of natural calamities. Various state-of-the-art techniques such as optimization schemes, blockchain, machine learning (ML), orthogonal frequency division multiplexing (OFDM), etc., are also discussed in the context of cognitive IoT. The volume elucidates on the uses of IoT in agriculture, discussing challenges along with solutions with the help of the latest technical smart tools to uplift the farming community, specifically IoT applications for information gathering to improve yield productivity, food and crop quality and sustainability, monitoring toxic substances and soil properties, etc. The book also covers a broad spectrum of IoT applications in the educational industry along with the challenges associated with them and how to facilitate the use of smart classroom technology. A chapter on IoT in the health care industry presents an IoT-based GPS-enabled smart jacket design comprised of smart sensors to monitor heart rate, sugar level, blood pressure, fever, and stress level. The authors also present an IoT-based Peltier air conditioner design that overcomes the limitations existing HVAC framework, a comprehensive review of various energy harvesting techniques to generate electrical power from nonconventional power sources with their merits and demerits, and much more. The book showcases the many ways that IoT can be employed for improvement in many areas of contemporary life. It will appeal to advanced students, practitioners, and researchers working in the field of IoT to integrate IoT with other technologies to develop comprehensive solutions to real-life problems.

Printed antennas have become an integral part of next-generation wireless communications and have been found to be commonly used to improve system capacity, data rate, reliability, etc. This book covers theory, design techniques, and the chronological regression of the printed antennas for various applications. This book will provide readers with the basic conceptual knowledge about antennas along with advanced techniques for antenna design. It covers a variety of analytical techniques and their CAD applications and discusses new applications of printed antenna technology such as sensing. The authors also present special reconfigurable antennas such as ME dipole, polarization, feeding, and DGS. The book will be useful to students as an introduction to design and applications of antennas. Additionally, experienced researchers in this field will find this book a ready reference and benefit from the techniques of research in printed antennas included in this book. Following are some of the salient features of this book: Covers a variety of analytical techniques and their CAD applications Discusses new applications of printed antenna technology such as sensing Examines the state of design techniques of printed antenna Presents special reconfigurable antennas such as ME dipole, polarization, feeding, and DGS

SDN-Supported Edge-Cloud Interplay for Next Generation Internet of Things is an invaluable resource coveringa wide range of research directions in the field of edge-cloud computing, SDN, and IoT. The integration of SDN in edge-cloud interplay is a promising framework for enhancing the QoS for complex IoT-driven applications. The interplay between cloud and edge solves some of the major challenges that arise in traditional IoT architecture. This book is a starting point for those involved in this research domain and explores a range of significant issues including network congestion, traffic management, latency, QoS, scalability, security, and controller placement problems. Features: The book covers emerging trends, issues and solutions in the direction of Edge-cloud interplay It highlights the research advances in on SDN, edge, and IoT architecture for smart cities, and software-defined internet of vehicles It includes detailed discussion has made of performance evaluations of SDN controllers, scalable software-defined edge computing, and AI for edge computing Applications areas include machine learning and deep learning in SDN-supported edge-cloud systems Different use cases covered include smart health care, smart city, internet of drones, etc This book is designed for scientific communities including graduate students, academicians, and industry professionals who are interested in exploring technologies related to the internet of things such as cloud, SDN, edge, internet of drones, etc.

1) The textbook will provide the readers with a comprehensive theoretical and technical foundation of the mobile and wireless communication systems. 2) The textbook will include the latest advancements in technologies. 5 Information Classification: General 3) The textbook will include practical use-case scenarios using software that is also used in Industry (e.g., Altair Winprop). 4) The textbook will also present an introduction into Machine Learning techniques for Internet of Things with practical use case scenarios using Phyton, TensorFlow and Jupiter. 5) The textbook will also introduce the reader to key enabling technologies and concepts, like Digital Twins.

The proposed title intends to provide a comprehensive view of emerging paradigms of computer science. The initial chapters will introduce various emerging paradigms and discuss research challenges related to them. Then some of the chapters will focus on the research solutions to address the identified challenges. The last few chapters will provide a discussion on future research directions.

This interdisciplinary book, Advanced Microscopy: A Strong Analytical Tool in Materials Science, covers the methodology and applications of different advanced microscopic techniques in various research fields, including chemistry, nanotechnology, polymers, chemical engineering, and biomedical engineering, providing an informative overview that helps to determine the best applications for advanced materials. Materials usually behave very differently at nanoscale in all aspects, and this volume shows how microscopy can help provide a detailed understanding of materials such as semiconductors, metals, polymers, biopolymers, etc. The volume illustrates advanced microscopic techniques that include scanning electron microscopy (SEM), transmission electron microscopy (TEM), atomic force microscopy (AFM), confocal microscopy, and others. The microscopy techniques presented in the volume show applications in many areas of science, including botany and plant science, medicine, nanotechnology, chemistry, food science, waste management, and others. This book presents the diverse advanced microscopic techniques for researchers, giving a better understanding as well as implementation of novel techniques in materials science.

Experts in research, industry, and academia cover recent trends and state-of-the art solutions in computer and communications engineering, focusing specifically on real-time applications of electronics, communications, computing, and information technology. The volume provides sound theoretical and application-oriented knowledge with a special focus on the development of safety-critical networks and integrated electrical and electronics systems. The volume also features numerous new algorithms that assist in solving computer and communication engineering problems.

Energy Harvesting: Enabling IoT Transformations gives insight into the emergence of energy harvesting technology and its integration with IoT-based applications. The book educates the reader on how energy is harvested from different sources, increasing the effectiveness, efficiency and lifetime of IoT devices. * Discusses the technology and practices involved in energy harvesting for biomedical, agriculture and automobile industries * Compares the performance of IoT-based devices with and without energy harvesting for different applications * Studies the challenges and issues in the implementation of EH-IoT * Includes case studies on energy-harvesting approach for solar, thermal and RF sources * Analyzes the market and business opportunities for entrepreneurs in the field of EH-IoT. This book is primarily aimed at graduates and research scholars in wireless sensor networks. Scientists and R&D workers in industry will also find this book useful.

Showcases the state-of-the-art research in the area of AI with specific consideration to engineering, management and safety of civil construction. Offers detailed insights towards applying AI into design, construction and maintenance of infrastructure Leverages the various sub-disciplines of AI to arrive at modern, smart, and safe infrastructure as well as achieve a synergy between users/commuters and such structures. Covers practical case studies of primary interest to students, researchers, engineers, social scientists and government officials.

Provides strong and accessible theoretical bases to swarm intelligence algorithms, from particle optimization to bioinspired and meta-heuristic algorithms Presents emerging meta-heuristic algorithms and applications Provides overviews on Python and R based computing libraries for swarm intelligence and meta-heuristic algorithms Presenting real-world applications, especially on Industry, Medicine and Biology.

Facilitates good understanding of concepts of emerging 2D materials and its applications Covers details of highly sensitive sensors using 2D materials for environmental monitoring Outlines the role of 2D materials in improvement of energy harvesting and storage Details application in biosensing and healthcare for the realization of next-generation biotechnologies for personalized health monitoring and so forth Provides exclusive coverage of inorganic 2D MXenes compounds

The idea behind this book is to simplify the journey of aspiring readers and researchers to understand the convergence of Big Data with the Cloud. This book presents the latest information on the adaptation and implementation of Big Data technologies in various cloud domains and Industry 4.0. Synergistic Interaction of Big Data with Cloud Computing for Industry 4.0 discusses how to develop adaptive, robust, scalable, and reliable applications that can be used in solutions for day-to-day problems. It focuses on the two frontiers - Big Data and Cloud Computing - and reviews the advantages and consequences of utilizing Cloud Computing to tackle Big Data issues within the manufacturing and production sector as part of Industry 4.0. The book unites some of the top Big Data experts throughout the world who contribute their knowledge and expertise on the different aspects, approaches, and concepts related to new technologies and novel findings. Based on the latest technologies, the book offers case studies and covers the major challenges, issues, and advances in Big Data and Cloud Computing for Industry 4.0. By exploring the basic and high-level concepts, this book serves as a guide for those in the industry, while also helping beginners and more advanced learners understand both basic and more complex aspects of the synergy between Big Data and Cloud Computing.

This book presents the current research on space-based navigation models and the contents of spaces used for seamless indoor and outdoor navigation. It elaborates on 3D spaces reconstructed automatically and how indoor, semi-indoor, semi-outdoor, and outdoor spaces can mimic the indoor environments and originate a network based on the 3D connectivity of spaces. Case studies help readers understand theories, approaches, and models, including data preparation, space classification and reconstruction, space selection, unified space-based navigation model derivation, path planning, and comparison of results. Features: Provides novel models, theories, and approaches for seamless indoor and outdoor navigation path planning Includes real-life case studies demonstrating the most feasible approaches today Presents a generic space definition framework that can be used in research areas for spaces shaped by built structures Develops a unified 3D space-based navigation model that allows the inclusion of all types of spaces as 3D spaces and utilizes them for seamless navigation in a unified way Intended to motivate further research and developments, this book suits students, researchers, and practitioners in the field, and serves as a helpful introductory text for readers wanting to engage in seamless indoor/outdoor navigation research and teaching.

- This book covers the production of dissertations in an area where students are much more comfortable writing code than writing academically. - With practical examples of bachelor dissertations and practical research methods utilised in the field of computer science and computer games such as survey methodologies, experimental methodologies, case studies, analysis techniques and reporting techniques, this book will break down the sometimes complicated-seeming nature of the dissertation. - Written to be concise yet comprehensive and with easily accessible language and examples, this book will take the mystery out of undergraduate dissertations in this field.

Blockchain: Principles and Applications in IoT covers all the aspects of Blockchain and its application in IOT. The book focuses on Blockchain, its features, and the core technologies that are used to build the Blockchain network. The gradual flow of chapters traces the history of blockchain from cryptocurrencies to blockchain technology platforms and applications that are adopted by mainstream financial and industrial domains worldwide due to their ease of use, increased security and transparency. * Focuses on application of Blockchain on IoT domain * Focuses on Blockchain as a data repository * Most books on Blockchain cover bitcoins and crypto currency. This book will also cover blockchain in other areas like healthcare, supply chain management, etc * Covers consensus algorithms like PAROX, RAFT etc. and its applications This book is primarily aimed at graduates and researchers in computer science and IT.

The second edition of Predicting Outdoor Sound is an up-to-date reference on the propagation of sound close to the ground and its prediction. New content includes comparisons between predictions and data for road traffic, railway and wind turbine noise; descriptions of source characteristics in the HARMONOISE model; propagation over rough seas, parallel low walls, and lattices; outlines of numerical methods; gabion (caged stones) and sonic crystal noise barriers; meteorological effects on noise barrier performance; and the prediction requirements for auralization. The book brings together relevant theories, prediction schemes, and data, thereby providing a basis for determining what model or scheme might be applicable for any situation. It also offers a background on useful analytical approximations and the restrictions, as well as difficulties and limitations associated with engineering prediction schemes. The text should be of considerable interest to researchers in outdoor sound propagation and, more generally, it should provide a comprehensive primer on the topic for lecturers, consultants and students in acoustics and noise control.

Energy demand will increase by 70% by the year of 2030, and with the continual day-by-day depletion of traditional energy sources, there is a vast need to continue the development of dependable renewable energy sources that are locally available and that enhance energy generation efficiency. This important resource, Deregulated Electricity Market: A Smart Grid Perspective, presents the topical issues of the deregulated electricity market, focusing on the integration of renewable sources with engineering approaches. The volume identifies and explores the deregulated electricity market s and looks at different renewable generation techniques and their operation and control issues. It considers the various power quality issues with renewable energy generation interfaced with smart grids and their solution techniques. It also addresses the various integration challenges of the energy storage systems and energy management of electric vehicles in the smart grid environment. Topics include methods for frequency, angle, and voltage monitoring in smart grids; load frequency and voltage control pricing; grid integration of wind energy generation systems; tracking and management techniques; performance analysis; and more. This volume is an important resource for scientists, researchers, students, and academicians across the globe concerned with adopting and implementing novel research on smart power grids and renewable energy systems.

Defines concepts and processes of software and software development, such as agile processes, requirements engineering, and software architecture, design, construction Uncovers and answers various misconceptions about the software development process and presents an up-to-date reflection on the state of practice in the industry Details how non-software engineers can better communicate their needs to software engineers and more effectively participate in design and testing to ultimately lower software development and maintenance costs Helps answer the question: How can I better leverage embedded software in my design? Adds new chapters on software architecture, software engineering and systems, and software engineering and disruptive technologies, as well as information on cybersecurity Features new appendices that describe a sample automation system, covering software requirements, architecture, and design

The continued use of coal as a means of generating electricity and an increasing demand for cleaner, more efficient energy production has led to advances in power plant technology. Ultra-supercritical coal power plants reviews the engineering, operation, materials and performance of ultra-supercritical coal power plants.
Following a chapter introducing advanced and ultra-supercritical coal power plants, part one goes on to explore the operating environments, materials and engineering of ultra-supercritical coal power plants. Chapters discuss the impacts of steam conditions on plant materials and operation, fuel considerations and burner design, and materials and design for boilers working under supercritical steam conditions. Chapters in part two focus on improving ultra-supercritical coal power plant performance and operability. Ash fouling, deposition and slagging in ultra-supercritical coal power plants are highlighted along with pollution control measures and the estimation, management and extension of the life of ultra-supercritical power plants. Further chapters provide an economic and engineering analysis of a 700 C advanced ultra-supercritical pulverised coal power plant and discuss CO2 capture-ready ultra-supercritical coal power plants.
Ultra-supercritical coal power plants is a comprehensive technical reference for power plant operators and engineers, high-temperature materials scientists, professionals in the power industry who require an understanding of ultra-supercritical coal power plants and researchers and academics interested in the field.
Provides a comprehensive reference on the developments, materials, design and operation of ultra-supercritical power plantConsiders the degradation issues affecting this type of plant, as well as emissions control and CO2 capture technology; improved plant controls critical to improved operation and environmental performanceContains operational assessments for plant safety, plant life management, and plant economics"

UAV swarm network has been used in many critical applications, such as disaster recovery, area surveillance, weather monitoring, and military communications. There are many challenging R&D issues in UAV network designs, such as the hardware/software integration for a large-scale UAV network management, long-distance data transmissions among UAVs, swarm shape/formation control, and intelligent UAV mobility/position prediction. This book will be the first one to cover the engineering designs (especially network protocol designs) for dynamic, large-scale UAV network. It has the technical models/algorithms and protocol specifications for practical UAV swarm network deployment. Features: Includes chapters written by professors, researchers, engineers, and experts in UAV networking fields Details network protocol descriptions for practical engineering designs Covers 7-layer protocols (particularly data routing layer) Presents novel AI models/algorithms for intelligent UAV swarming/networking control Highlights practical hardware/software implementations for advanced UAV networks This book is suitable to a variety of audiences: (1) industry UAV R&D engineers, administrators, or technicians, who would like to grasp the latest trends in UAV communications; (2) college graduate students or researchers, who may want to pursue some advanced research on large-scale UAV swarming and networking technologies; (3) government agencies that determine the future society development in this exciting field; and (4) other interested readers with a strong desire to understand the challenges of designing a QoS-oriented UAV network. The book editors are: Dr. Fei Hu, Professor in Electrical and Computer Engineering at University of Alabama, Tuscaloosa, Alabama, USA; Dr. Xin-Lin Huang, Professor in Information and Communication Engineering, Tongji University, Shanghai, China; and Dr. DongXiu Ou, Professor in Transportation Information Institute at Tongji University, Shanghai, China.

Introduces performance indicators in a self-controlled Permanent Magnet Synchronous Motor (PMSM) machine to justify the dynamic behavior Discusses comparative performance study and optimization of the drive performance Provides detailed comparative performance analysis between classical and fuzzy logic controllers in a PMSM drive Includes illustrations and case studies using mathematical modeling and real-time test-results Discusses state of the art on solar powered energy efficient PMSM drive with various issues

Covers all emergent materials (natural and artificial) that are promising for optical, infrared, and terahertz applications Comparatively analyzes these materials, elucidating their unique advantages, limitations, and application scopes Provides an up-to-date record on achievements and progress in cutting-edge optical, infrared, and terahertz applications Offers a comprehensive overview to connect multidisciplinary fields, such as materials, physics, and optics, to serve as a basis for future progress