The Finite-Difference Time-domain (FDTD) method allows you to compute electromagnetic interaction for complex problem geometries with ease. The simplicity of the approach coupled with its far-reaching usefulness, create the powerful, popular method presented in The Finite Difference Time Domain Method for Electromagnetics. This volume offers timeless applications and formulations you can use to treat virtually any material type and geometry.
The Finite Difference Time Domain Method for Electromagnetics explores the mathematical foundations of FDTD, including stability, outer radiation boundary conditions, and different coordinate systems. It covers derivations of FDTD for use with PEC, metal, lossy dielectrics, gyrotropic materials, and anisotropic materials. A number of applications are completely worked out with numerous figures to illustrate the results. It also includes a printed FORTRAN 77 version of the code that implements the technique in three dimensions for lossy dielectric materials.
There are many methods for analyzing electromagnetic interactions for problem geometries. With The Finite Difference Time Domain Method for Electromagnetics, you will learn the simplest, most useful of these methods, from the basics through to the practical applications.

This book focuses on market/regulatory issues concerning smart grid applications, business cases and use cases. It covers the most relevant aspects of the smart grid-design considerations, economics, legal aspects and system management-and includes exercises at the end of each chapter. Since renewable energy generation is weather-dependent, it is more volatile, which affects market prices and the need for flexibility options including demand side management. In order to balance supply and demand in a sustainable manner also with high shares of renewables, energy systems need to be enhanced by smart grid technologies. This co-evolutionary transformation of the energy system, economic, societal, political and regulatory domains is challenging and calls for an integrated and interdisciplinary approach. This book provides an essential basis to prepare lecturers and students for engaging in the new energy world.

Spacecraft Power Technologies is the first comprehensive text devoted to the technologies critical to the development of spacecraft electrical power systems. The science and engineering of solar, chemical, and nuclear systems are fully examined together with the constraints imposed by the space and thermal environments in which the systems must operate. Details of present technology and the history that led to the current state-of-the-art are presented at a level appropriate for the student as a textbook or the practicing engineer as a reference.

This book is the first systematic exposition on the emerging domain of wireless power transfer in ad hoc communication networks. It selectively spans a coherent, large spectrum of fundamental aspects of wireless power transfer, such as mobility management in the network, combined wireless power and information transfer, energy flow among network devices, joint activities with wireless power transfer (routing, data gathering and solar energy harvesting), and safety provisioning through electromagnetic radiation control, as well as fundamental and novel circuits and technologies enabling the wide application of wireless powering. Comprising a total of 27 chapters, contributed by leading experts, the content is organized into six thematic sections: technologies, communication, mobility, energy flow, joint operations, and electromagnetic radiation awareness. It will be valuable for researchers, engineers, educators, and students, and it may also be used as a supplement to academic courses on algorithmic applications, wireless protocols, distributed computing, and networking.

This book presents Internet of Things (IoT) solutions monitoring and assessing a variety of applications areas for indoor air quality (IAQ). This book synthesizes recent developments, presents case studies, and discusses new methods in the area of air quality monitoring, all the while addressing public health concerns. The authors discuss the issues and solutions, including IoT systems that can provide a continuous flow of data retrieved from cost-effective sensors that can be used in multiple applications.The authors present the leading IoT technologies, applications, algorithms, systems, and future scope in this multi-disciplinary domain.

At present, both Industry 4.0 and industrial engineering management developments are reshaping the industrial sector worldwide. Industry 4.0 and sustainability are considered as the crucial emerging trends in industrial production systems. The resulting transformations are changing production modes from traditional to digital, intelligent, and decentralized. It is expected that Industry 4.0 will help drive sustainability in industries thanks to the implementation of advanced technology and a move towards social sustainability. This book reflects on the consequences of the transition to Industry 4.0 for climate change. The book presents a systemic overview of the current negative impacts of digitization on the environment and showcases a new outline of the energy domain and expected changes in environmental pollution levels under Industry 4.0. It also analyzes the ecological consequences of the growth and development of Industry 4.0 and considers Industry 4.0 as an alternative to fighting climate change, in the sense of shifting the global community's attention from environmental protection to consolidation of the digital economy. This book will be of interest to academicians and practitioners in the fields of climate change and development of Industry 4.0, and it will contribute to national economic policies for fighting climate change and corporate strategies of sustainable development under Industry 4.0.

This book highlights recent advance in the area of Machine Learning and IoT, and their applications to solve societal issues/problems or useful for various users in the society. It is known that many smart devices are interconnected and the data generated is being analyzed and processed with machine learning models for prediction, classification, etc., to solve human needs in various sectors like health, road safety, agriculture, and education. This contributed book puts together chapters concerning the use of intelligent techniques in various aspects related to the IoT domain from protocols to applications, to give the reader an up-to-date picture of the state-of-the-art on the connection between computational intelligence, machine learning, and IoT.

This book describes applications of Jaya and Rao algorithms on real case studies concerning different renewable energy sources. In the last few decades, researchers have focused on renewable energy resources like solar energy, bio-energy, wave energy, ocean thermal energy, tidal energy, geothermal energy, and wind energy. This has resulted in the development of new techniques and tools that could harvest energy from renewable energy sources. Many researchers and scientists have focused on developing and optimizing the energy systems to extract and utilize renewable energy more efficiently. In this book, recently developed Jaya and Rao (Rao-1, Rao-2, and Rao-3) algorithms are introduced for single- and multi-objective optimization of selected renewable energy systems. The results of applications of the different versions of Jaya and Rao algorithms are compared with the other optimization techniques like GA, NSGA-II, PSO, MOPSO, ABC, etc., and the performance of the Jaya and Rao algorithms is highlighted compared to other optimization algorithms in the case of renewable energy systems. The book also includes the validation of different versions of the Jaya and Rao algorithms through the application to complex single- and multi-objective unconstrained benchmark functions. The algorithms and computer codes of different version of Jaya and Rao algorithms are included in the book that will be very much useful to readers in industry and academic research.

This book provides a comprehensive overview of various aspects of the development of smart cities from a secure, trusted, and reliable data transmission perspective. It presents theoretical concepts and empirical studies, as well as examples of smart city programs and their capacity to create value for citizens. The contributions offer a panorama of the most important aspects of smart city evolution and implementation within various frameworks, such as healthcare, education, and transportation. Comparing current advanced applications and best practices, the book subsequently explores how smart environments and programs could help improve the quality of life in urban spaces and promote cultural and economic development.

This book includes original, peer-reviewed research articles from International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2021), held in VNR Vignana Jyoythi Institute of Engineering and Technology (VNR VJIET), Hyderabad, Telangana, India, during 13-14 August 2021. The book focuses on "Smart Innovations in Mezzanine Technologies, Data Analytics, Networks and Communication Systems" enlargements and reviews on the advanced topics in artificial intelligence, machine learning, data mining and big data computing, knowledge engineering, semantic Web, cloud computing, Internet on Things, cybersecurity, communication systems, and distributed computing and smart systems.

This volume presents the refereed proceedings of the Conference in Operator The ory in Honour of Moshe Livsic 80th Birthday, held June 29 to July 4, 1997, at the Ben-Gurion University of the Negev (Beer-Sheva, Israel) and at the Weizmann In stitute of Science (Rehovot, Israel). The volume contains papers in operator theory and its applications (understood in a very wide sense), many of them reflecting, 1 directly or indirectly, a profound impact of the work of Moshe Livsic. Moshe (Mikhail Samuilovich) Livsic was born on July 4, 1917, in the small town of Pokotilova near Uman, in the province of Kiev in the Ukraine; his family moved to Odessa when he was four years old. In 1933 he enrolled in the Department of Physics and Mathematics at the Odessa State University, where he became a student of M. G. Krein and an active participant in Krein's seminar - one of the centres where the ideas and methods of functional analysis and operator theory were being developed. Besides M. G. Krein, M. S. Livsic was strongly influenced B. Va. Levin, an outstanding specialist in the theory of analytic functions. A by deep understanding of operator theory as well as function theory and a penetrating search of connections between the two, were to become one of the landmarks of M. S. Livsic's work. M. S. Livsic defended his Ph. D.

This book presents cybersecurity aspects of ubiquitous and growing IoT and Cyber Physical Systems. It also introduces a range of conceptual, theoretical, and foundational access control solutions. This was developed by the authors to provide an overall broader perspective and grounded approach to solve access control problems in IoT and CPS. The authors discuss different architectures, frameworks, access control models, implementation scenarios, and a broad set of use-cases in different IoT and CPS domains. This provides readers an intuitive and easy to read set of chapters. The authors also discuss IoT and CPS access control solutions provided by key industry players including Amazon Web Services (AWS) and Google Cloud Platform (GCP). It provides extensions of the authors proposed fine grained solutions with these widely used cloud and edge supported platforms. This book is designed to serve the computer science and the cybersecurity community including researchers, academicians and students. Practitioners who have a wider interest in IoT, CPS, privacy and security aspects will also find this book useful. Thanks to the holistic planning and thoughtful organization of this book, the readers are expected to gain in-depth knowledge of the state-of-the-art access control architectures and security models for resilient IoT and CPS.

This book evaluates the role of innovative machine learning and deep learning methods in dealing with power system issues, concentrating on recent developments and advances that improve planning, operation, and control of power systems. Cutting-edge case studies from around the world consider prediction, classification, clustering, and fault/event detection in power systems, providing effective and promising solutions for many novel challenges faced by power system operators. Written by leading experts, the book will be an ideal resource for researchers and engineers working in the electrical power engineering and power system planning communities, as well as students in advanced graduate-level courses.

The reliability of induction motors is a major requirement in many industrial applications. It is especially important where an unexpected breakdown might result in the interruption of critical services such as military operations, transportation, aviation, and medical applications. Advanced Condition Monitoring and Fault Diagnosis of Electric Machines is a collection of innovative research on various issues related to machinery condition monitoring, signal processing and conditioning, instrumentation and measurements, and new trends in condition monitoring. It also pays special attention to the fault identification process. While highlighting topics including spectral analysis, electrical engineering, and bearing faults, this book is an ideal reference source for electrical engineers, mechanical engineers, researchers, and graduate-level students seeking current research on various methods of maintaining machinery.

This book presents a collection of peer-reviewed best selected research papers presented at the First International Conference on Smart and Sustainable Technologies (ICSST 2021), organized by Department of ECE, GIET University, Gunupur, Rayagada, Odisha, India, during December 16-18, 2021. The proceedings of the conference have a special focus on the developments of local tribe and rural people using smart and sustainable technologies. It is an interdisciplinary platform for researchers, practitioners, and educators as well as NGO workers who are working in the area of web engineering, IoT and cloud computing, Internet of Everything, data science, artificial intelligence, machine learning, computer vision, and intelligent robotics, particularly for the rural and tribal development.

Provides a technical introduction to deepfakes, its benefits, and the potential harms Presents practical approaches of creation and detection of deepfakes using Deep Learning (DL) Techniques Draws attention towards various challenging issues and societal impact of deepfakes with their existing solutions Includes research analysis in the domain of DL fakes for assisting the creation and detection of deepfakes applications Discusses future research directions with emergence of deepfakes technology

Direct3D 11 offers such a wealth of capabilities that users can sometimes get lost in the details of specific APIs and their implementation. While there is a great deal of low-level information available about how each API function should be used, there is little documentation that shows how best to leverage these capabilities. Written by active members of the Direct3D community, Practical Rendering and Computation with Direct3D 11 provides a deep understanding of both the high and low level concepts related to using Direct3D 11. The first part of the book presents a conceptual introduction to Direct3D 11, including an overview of the Direct3D 11 rendering and computation pipelines and how they map to the underlying hardware. It also provides a detailed look at all of the major components of the library, covering resources, pipeline details, and multithreaded rendering. Building upon this material, the second part of the text includes detailed examples of how to use Direct3D 11 in common rendering scenarios. The authors describe sample algorithms in-depth and discuss how the features of Direct3D 11 can be used to your advantage. All of the source code from the book is accessible on an actively maintained open source rendering framework. The sample applications and the framework itself can be downloaded from http://hieroglyph3.codeplex.com By analyzing when to use various tools and the tradeoffs between different implementations, this book helps you understand the best way to accomplish a given task and thereby fully leverage the potential capabilities of Direct3D 11. Key Features Presents the high level concepts used to design algorithms Describes the nuts and bolts of how to implement the algorithms Explains each of the major components of the Direct3D 11 library Shows how Direct3D 11 can be used in a variety of real-world situations Provides source code and sample programs on a supplementary website

This book presents scientific and technological innovations and advancements already developed or under development in academia, industry, and research communities. It includes fundamental ideas and advancement in terahertz technology covering high intensity terahertz wave generation, THz detection, different modes of THz wave generation, THz modulation system, and terahertz propagation channel modeling. It highlights methodologies for the design of terahertz components and system technologies including emerging applications. The chapter contents are based on theoretical, methodological, well-established, and validated empirical work dealing with different topics in the terahertz domain. The book covers a very broad audience ranging from basic sciences to experts and learners in engineering and technology. It would be a good reference for advanced ideas and concepts in THz technology which will best suit microwave, biomedical, and electrical and communication engineers working towards next-generation technology.

This book highlights the latest design and development of security issues and various defences to construct safe, secure and trusted Cyber-Physical Systems (CPS). In addition, the book presents a detailed analysis of the recent approaches to security solutions and future research directions for large-scale CPS, including its various challenges and significant security requirements. Furthermore, the book provides practical guidance on delivering robust, privacy, and trust-aware CPS at scale. Finally, the book presents a holistic insight into IoT technologies, particularly its latest development in strategic applications in mission-critical systems, including large-scale Industrial IoT, Industry 4.0, and Industrial Control Systems. As such, the book offers an essential reference guide about the latest design and development in CPS for students, engineers, designers, and professional developers.

The computer hardware and software industry is committed to using formal methods. As a result, it is crucial that students who take automata theory and logic courses retain what they have learned and understand how to use their knowledge. Yet many textbooks typically emphasize automata theory only, not logic, thus losing a valuable opportunity to tie these subjects together and reinforce learning. In fact, automata theory and logic evolved hand-in-hand, yet this connection was severed in the '70s as separate automata-theory and logic courses became possible. Now, with computer science departments suffering from overcrowded syllabi, it is often possible for undergraduates to get a BS without having had to take a course in mathematical logic Today's students want to know how knowledge can work for them - learning theory as a tool is preferable to learning theory for theory's sake. To prove that theoretical tenents are not only applicable, but also necessary and relevant, useful examples must be presented. This textbook uses interactive tools throughout, such as simple BDD and SAT tools. shown to be both inviting and current. Topics are also illustrated in multiple domains so that information is reinforced and students can begin to tie theory and logic together. Having used this book, students will not only know and understand automata theory, but also be able to apply their knowledge in real practice.

This book is devoted to one of the main problems of modern electrical power engineering-power transformer diagnostics. The first three chapters discuss the fundamentals: The first chapter presents the physical reasons for power transformers' failures and the technical and economic consequences of disruption of the normal operation. The second chapter reviews the standard technologies for monitoring the state of the high-voltage transformers. The third chapter tells about monitoring the condition of transformer windings based on the pulse method. The fourth chapter presents the technologies for transformer windings condition controlled by means of nanosecond pulses. The stages of improving the pulsed method based on a short probing pulse of the nanosecond range, the results of experiments on identifying the radial and axial displacements of the winding, studies of the effect of the duration and shape of the probing pulse on the sensitivity of the diagnostic procedure, and the stages of developing a mathematical as well as physical model of a power transformer are consistently presented.

This edited book covers ongoing research in both theory and practical applications of using deep learning for social media data. Social networking platforms are overwhelmed by different contents, and their huge amounts of data have enormous potential to influence business, politics, security, planning and other social aspects. Recently, deep learning techniques have had many successful applications in the AI field. The research presented in this book emerges from the conviction that there is still much progress to be made toward exploiting deep learning in the context of social media data analytics. It includes fifteen chapters, organized into four sections that report on original research in network structure analysis, social media text analysis, user behaviour analysis and social media security analysis. This work could serve as a good reference for researchers, as well as a compilation of innovative ideas and solutions for practitioners interested in applying deep learning techniques to social media data analytics.

The interferometer is a versatile instrument which has played a central role in many developments in physics. Its uses include measurements of fine and hyperfine structure in atomic spectra, precision measurements of the velocity of light, studies of isotope shift and nuclear structure. It has contributed to recent work in remote sensing, optical bistability, plasma physics, atomic physics, light scattering spectroscopy and astrophysics.