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.

The book is presents the papers presented at the 4th International Conference on Telecommunications and Communication Engineering (ICTCE 2020) held on 4 -6 December, in Singapore. It covers advanced research topics in the field of computer communication and networking organized into the topics of emerging technologies of wireless communication and networks, 5G wireless communication and networks, information and network security, internet of things and fog computing. These advanced research topics are taking the lead and representing the trend of the recent academic research in the field of computer communication and networking. It is expected that the collection and publication of the research papers with the advanced topics listed in this book will further promote high standard academic research in the field and make a significant contribution to the development of economics and human society.

This book investigates the sustainability performance of system that use microgrids in desalination processes. Climate change may be especially dramatic in its effects on island environments. In these environments, aquifers and wells could become over exploited resulting the use of desalination plans. The synergies between water, energy, and food sectors have been identified as vital in achieving the United Nation's Sustainable Development Goals. The book explores desalination and microgrids technically as well the economic and legal aspects that must be considered in order explore their techno-economic feasibility - analyzing how to improve the desalination process, proposing a method to locate and size a microgrid. Other synergies between the water, energy, and food system are discussed and the benefits to society that might result in these systems. Also, the lessons learned are highlighted in the context of how they may apply to other sustainable enterprises.

Agricultural systems are uniquely complex systems, given that agricultural systems are parts of natural and ecological systems. Those aspects bring in a substantial degree of uncertainty in system operation. Also, impact factors, such as weather factors, are critical in agricultural systems but these factors are uncontrollable in system management. Modern agriculture has been evolving through precision agriculture beginning in the late 1980s and biotechnological innovations in the early 2000s. Precision agriculture implements site-specific crop production management by integrating agricultural mechanization and information technology in geographic information system (GIS), global navigation satellite system (GNSS), and remote sensing. Now, precision agriculture is set to evolve into smart agriculture with advanced systematization, informatization, intelligence and automation. From precision agriculture to smart agriculture, there is a substantial amount of specific control and communication problems that have been investigated and will continue to be studied. In this book, the core ideas and methods from control problems in agricultural production systems are extracted, and a system view of agricultural production is formulated for the analysis and design of management strategies to control and optimize agricultural production systems while exploiting the intrinsic feedback information-exchanging mechanisms. On this basis, the theoretical framework of agricultural cybernetics is established to predict and control the behavior of agricultural production systems through control theory.

Swarm system, also known as multi-agent system, refers to a system composed of multiple subsystems (agents) with certain communication, calculation, decision-making, and action capabilities through local information interaction, such as a group of unmanned aerial vehicles (UAVs), unmanned ground vehicles (UGVs), satellites, etc. Formation tracking control of swarm systems is an important technical support and approach for the emergence of swarm intelligence at motion control level. By applying formation tracking control, swarm system agents can adjust their relations in the state or output space through neighboring information interaction, and then the swarm system can achieve favorable space-time conditions for many cooperative tasks such as source seeking, target enclosing, and surveillance. Thus, complex missions can be performed efficiently or cost-effectively. In cross-domain collaborative applications, including air-ground coordination and air-sea coordination, swarm systems are usually composed of several heterogeneous agents, and swarm intelligence can be enhanced by complementary functions of different agents. How to achieve time-varying formation tracking for heterogeneous swarm systems is crucial for cross-domain coordination, which has important theoretical value and practical significance. This important book presents a systematic theoretical approach and control framework on the time-varying formation tracking for high-order heterogeneous swarm systems. Distributed controller design and stability analysis of closed-loop systems for several specific formation tracking problems are provided. Furthermore, the proposed control approaches are applied to practical cooperative experiment platforms composed of UAVs and UGVs, and several formation tracking experiments are carried out to further verify the effectiveness of the theories.

For courses in electromagnetics. Bridging the gap between circuits and electromagnetics Widely acclaimed in the field, this authoritative text bridges the gap between circuits and electromagnetics material. Fundamentals of Applied Electromagnetics begins coverage with transmission lines, leading students from familiar concepts into more advanced topics and applications. The 8th Edition builds on the core content and style of previous editions, retaining the student-friendly approach and hands-on simulation modules that help students develop a deeper understanding of electromagnetic concepts and applications. Enhanced graphs and illustrations and an expanded scope of topics in the Technology Briefs, establish additional bridges between electromagnetic fundamentals and their countless engineering and scientific applications.

This book presents a modified model reference adaptive system (MRAS) observer for sensorless vector control of a wind driven doubly fed induction generator (DFIG). A mathematical model of the DFIG as influenced by core loss and main flux saturation is developed. The authors describe and evaluate grid synchronization enhancement of a wind driven DFIG using adaptive sliding mode control (SMC). Besides, grid synchronization of a wind driven DFIG under unbalanced grid voltage is also fully covered in this book.

This book presents new systems and circuits for implantable biomedical applications, using a non-conventional way to transmit energy and data via ultrasound. The authors discuses the main constrains (e.g. implant size, battery recharge time, data rate, accuracy of the acoustic models) from the definition of the ultrasound system specification to the in-vitro validation.The system described meets the safety requirements for ultrasound exposure limits in diagnostic ultrasound applications, according to FDA regulations. Readers will see how the novel design of power management architecture will meet the constraints set by FDA regulations for maximum energy exposure in the human body. Coverage also includes the choice of the acoustic transducer, driven by optimum positioning and size of the implanted medical device. Throughout the book, links between physics, electronics and medical aspects are covered to give a complete view of the ultrasound system described. Provides a complete, system-level perspective on the use of ultrasound as energy source for medical implants; Discusses system design concerns regarding wireless power transmission and wireless data communication, particularly for a system in which both are performed on the same channel/frequency; Describes an experimental study on implantable battery powered biomedical systems; Presents a fully-integrated, implantable system and hermetically sealed packaging.

This book explores the most recent Edge and Distributed Cloud computing research and industrial advances, settling the basis for Advanced Swarm Computing developments. It features the Swarm computing concepts and realizes it as an Ad-hoc Edge Cloud architecture. Unlike current techniques in Edge and Cloud computing that solely view IoT connected devices as sources of data, Swarm computing aims at using the compute capabilities of IoT connected devices in coordination with current Edge and Cloud computing innovations. In addition to being more widely available, IoT-connected devices are also quickly becoming more sophisticated in terms of their ability to carry considerable compute and storage resources. Swarm computing and Ad-hoc Edge Cloud take full advantage of this trend to create on-demand, autonomic and decentralized self-managed computing infrastructures. Focusing on cognitive resource and service management, the book examines the specific research challenges of the Swarm computing approach, related to the characteristics of IoT connected devices that form the infrastructure. It also offers academics and practitioners insights for future research in the fields of Edge and Swarm computing.

This book provides carefully designed illustrative examples to explain the profound in simpler terms. The emerging smart grid paradigm has paved the way for the wide introduction of flexible demand (FD) and energy storage (ES) technologies in power systems, with significant economic, technical, and environmental benefits that will facilitate efficient transition to the low-carbon future. In the deregulated energy sector, the realization of the significant FD and ES flexibility potential should be coupled with their suitable integration in electricity markets. In this context, previous studies have proposed market clearing mechanisms considering FD and ES participation and demonstrated their impact on the system operation. However, these studies have neglected fundamental market complexities, such as modeling and pricing FD non-convexities as well as modeling and analyzing the role of FD and ES in imperfect markets. This book is dedicated to address the above challenges through the development of novel computational methodologies. It also provides numerous explanatory figures, tables, algorithm flowcharts, and block diagrams for visual aid, which helps the readers to better grasp the working principles of the developed algorithms as well as to form a comprehensive comparison of results.

This book, based on international collaborative research, presents a state-of-the-art design for "Smart Master Planning" for all metropolises, megacities and metacities as well as at subcity zonal and community and neighborhood level. Smart Master Planning accepts that all cities are a smart city in making in a limited way as far as the six components for smart cities, namely smart people, smart economy, smart environment, smart mobility and smart governance are concerned. Smart Master Planning in any city can only be designed and executed by active roles of smart people and smart city government and is a joint and synchronous effort of e-democracy, e-governance and ICT-IOT system in a 24 hour 7-day framework on all activities. In addition to use of information and communication technologies and remote sensing, the design of Smart Master Planning utilizes domain-specific tools of many aspects of a city to realize the coordinated, effective and efficient planning, management, development and conservation that improve ecological, social, biophysical, psychological and economic wellbeing in an equitable manner without compromising the sustainability of development ecosystems and stakeholders. This book will present 12 case studies covering more than 12 cities or more cities centered on domain-specific smart planning components. Case studies of digital innovations in the Smart Master Planning include Application of Artificial Neural Network in Master Planning for cities, Smart Master Plan and 3 D GIS Planning Support System and Digital Spatial Master Planning Incorporating Machine to Machine Automation for Smart Economic Community (IoT, ICT and M2M based Digital Integration).

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 textbook provides students with an introduction to the fundamentals and applications of solar photovoltaic systems, connecting the theory of solar photovoltaics and the practical applications of this very important source of energy. Chapters are written concisely in straightforward language that provides clear explanations of the concepts and principles, with an emphasis on humanitarian applications of photovoltaic systems and a focus on relatively small size systems that will make the book relatable to readers. It begins with an introduction and overview of the fundamentals of solar cell fabrication, module design, and performance along with an evaluation of solar resources. The book then moves on to address the details of individual components of photovoltaic systems, design of off-grid, hybrid, and distributed photovoltaic systems, and grid-tied photovoltaic systems based on the National Electrical Code (NEC). Coverage also includes a techno-economic analysis of solar photovoltaics, a discussion of the challenges and probable solutions of photovoltaic penetration into the utility grid, and an exploration of the potential of photovoltaic systems. Photovoltaic Systems: Fundamentals and Applications is designed to be used as an introductory textbook and professional training manual offering mathematical and conceptual insights that can be used to teach concepts, aid understanding of fundamentals, and act as a guide for sizing and designing practical systems.

MXene, a two-dimensional (2D) transition metal carbide, nitride, and carbonitride, was discovered in 2011. MXene has great potential as a cocatalyst in the field of photocatalysis due to its unique properties and structure. MXene-Based Photocatalysts: Fabrication and Applications introduces readers to the fundamentals, preparation, microstructure characterization, and a variety of applications of MXene-based photocatalysts. The book is a comprehensive reference for MXene materials and provides an overview of the current literature on MXene-based photocatalysts. FEATURES Discusses preparation methods of MXenes Describes the morphology and microstructure of MXenes Offers strategies for fabricating MXene-based photocatalysts Details the reaction mechanism of MXene-based photocatalysts Covers applications in photocatalytic water-splitting, photocatalytic CO2 reduction, photocatalytic degradation, photocatalytic nitrogen fixation, and photocatalytic H2O2 production This book serves as an invaluable guide for advanced students, industry professionals, professors, and researchers in the field of materials science and engineering, photocatalysis, energy, and environmental applications.

This book gathers recent research works in emerging Artificial Intelligence (AI) methods for the convergence of communication, caching, control, and computing resources in cloud-based Internet of Vehicles (IoV) infrastructures. In this context, the book's major subjects cover the analysis and the development of AI-powered mechanisms in future IoV applications and architectures. It addresses the major new technological developments in the field and reflects current research trends and industry needs. It comprises a good balance between theoretical and practical issues, covering case studies, experience and evaluation reports, and best practices in utilizing AI applications in IoV networks. It also provides technical/scientific information about various aspects of AI technologies, ranging from basic concepts to research-grade material, including future directions. This book is intended for researchers, practitioners, engineers, and scientists involved in designing and developing protocols and AI applications and services for IoV-related devices.

Modern electrical power systems are facing complex challenges, arising from distributed generation and intermittent renewable energy. Fuzzy logic is one approach to meeting this challenge and providing reliability and power quality. The book is about fuzzy logic control and its applications in managing, controlling and operating electrical energy systems. It provides a comprehensive overview of fuzzy logic concepts and techniques required for designing fuzzy logic controllers, and then discusses several applications to control and management in energy systems. The book incorporates a novel fuzzy logic controller design approach in both Matlab (R) and in Matlab Simulink (R) so that the user can study every step of the fuzzy logic processor, with the ability to modify the code. Fuzzy Logic Control in Energy Systems is an important read for researchers and practicing engineers in energy engineering and control, as well as advanced students involved with power system research and operation.

Readers can install Quantum ESPRESSO on Windows 10, macOS, and Linux operating systems. Readers can download all input files of the book and learn each subject without making input files by themselves. Readers can learn the Wannier90 package for obtaining tight-binding parameters for theoretical modeling. Minimum information of density-functional theory and solid-state physics is included. All software except for the operating system is open software that readers can download without any cost.

Tensor is a natural representation for multi-dimensional data, and tensor computation can avoid possible multi-linear data structure loss in classical matrix computation-based data analysis. This book is intended to provide non-specialists an overall understanding of tensor computation and its applications in data analysis, and benefits researchers, engineers, and students with theoretical, computational, technical and experimental details. It presents a systematic and up-to-date overview of tensor decompositions from the engineer's point of view, and comprehensive coverage of tensor computation based data analysis techniques. In addition, some practical examples in machine learning, signal processing, data mining, computer vision, remote sensing, and biomedical engineering are also presented for easy understanding and implementation. These data analysis techniques may be further applied in other applications on neuroscience, communication, psychometrics, chemometrics, biometrics, quantum physics, quantum chemistry, etc. The discussion begins with basic coverage of notations, preliminary operations in tensor computations, main tensor decompositions and their properties. Based on them, a series of tensor-based data analysis techniques are presented as the tensor extensions of their classical matrix counterparts, including tensor dictionary learning, low rank tensor recovery, tensor completion, coupled tensor analysis, robust principal tensor component analysis, tensor regression, logistical tensor regression, support tensor machine, multilinear discriminate analysis, tensor subspace clustering, tensor-based deep learning, tensor graphical model and tensor sketch. The discussion also includes a number of typical applications with experimental results, such as image reconstruction, image enhancement, data fusion, signal recovery, recommendation system, knowledge graph acquisition, traffic flow prediction, link prediction, environmental prediction, weather forecasting, background extraction, human pose estimation, cognitive state classification from fMRI, infrared small target detection, heterogeneous information networks clustering, multi-view image clustering, and deep neural network compression.

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.

This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures. This book is focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives. The data analytics discussed are relevant for healthcare and industry to meet many technical challenges and issues that need to be addressed to realize this potential. The IoT discussed helps to design and develop the intelligent medical and industry solutions assisted by data analytics and machine learning. At the end of every chapter readers are encouraged to check their understanding by means of brainstorming summary, discussion, exercises and solutions.

This text provides novel smart network systems, wireless telecommunications infrastructures, and computing capabilities to help healthcare systems using computing techniques like IoT, cloud computing, machine and deep learning Big Data along with smart wireless networks. It discusses important topics, including robotics manipulation and analysis in smart healthcare industries, smart telemedicine framework using machine learning and deep learning, role of UAV and drones in smart hospitals, virtual reality based on 5G/6G and augmented reality in healthcare systems, data privacy and security, nanomedicine, and cloud-based artificial intelligence in healthcare systems. The book: * Discusses intelligent computing through IoT and Big Data in secure and smart healthcare systems. * Covers algorithms, including deterministic algorithms, randomized algorithms, iterative algorithms, and recursive algorithms. * Discusses remote sensing devices in hospitals and local health facilities for patient evaluation and care. * Covers wearable technology applications such as weight control and physical activity tracking for disease prevention and smart healthcare. This book will be useful for senior undergraduate, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and information technology. Discussing concepts of smart networks, advanced wireless communication, and technologies in setting up smart healthcare services, this text will be useful for senior undergraduate, graduate students, and academic researchers in areas such as electrical engineering, electronics and communication engineering, computer science, and information technology. It covers internet of things (IoT) implementation and challenges in healthcare industries, wireless network, and communication-based optimization algorithms for smart healthcare devices.

Comprises four parts, the first of which provides an overview of the topics that are developed from fundamental principles to more advanced levels in the other parts. Presents in the second part an in-depth introduction to the relevant background in molecular and cellular biology and in physical chemistry, which should be particularly useful for students without a formal background in these subjects. Provides in the third part a detailed treatment of microscopy techniques and optics, again starting from basic principles. Introduces in the fourth part modern statistical approaches to the determination of parameters of interest from microscopy data, in particular data generated by single molecule microscopy experiments. Uses two topics related to protein trafficking (transferrin trafficking and FcRn-mediated antibody trafficking) throughout the text to motivate and illustrate microscopy techniques

Updated in line with the 18th edition of the wiring regulations. This book is an essential guide to the City & Guilds 2391-50 and 51: Initial Verification and Certification of Electrical Installation and Periodic Inspection and Testing, also C&G 2391-52: an amalgamation of Initial Verification and Periodic Inspection and Testing of electrical installations. There is a full coverage of technical and legal terminology used in the theory exams; including the structure of exam questions and their interpretation. By running through examples of realistic exam questions in a step-by-step fashion, this book explains how to decode the questions to achieve the most suitable response from the multiple-choice answers given. This book is ideal for all electricians, regardless of their experience, who need a testing qualification in order to take the next step in their career.

This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining and software analysis. It presents the outcomes of the Fifth International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2021), held in Ahmedabad, India. The book is divided into two volumes. It discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.