Covers potential energy storage (rechargeable batteries and supercapacitors) and energy conversion (solar cells and fuel cells) materials. Develops theoretical predictions and experimental observations under a unified quasi-particle framework. Illustrate up-to-date calculation results and experimental measurements. Describes successful synthesis, fabrication, and measurements, as well as potential applications and near future challenges.

Given the backdrop of intense interest and widespread discussion on the prospects of a hydrogen energy economy, this book aims to provide an authoritative and up-to-date scientific account of hydrogen generation using solar energy and renewable sources such as water. While the technological and economic aspects of solar hydrogen generation are evolving, the scientific principles underlying various solar-assisted water splitting schemes already have a firm footing. This book aims to expose a broad-based audience to these principles. This book spans the disciplines of solar energy conversion, electrochemistry, photochemistry, photoelectrochemistry, materials chemistry, device physics/engineering, and biology.

The latest inventions in internet technology influence most of business and daily activities. Internet security, internet data management, web search, data grids, cloud computing, and web-based applications play vital roles, especially in business and industry, as more transactions go online and mobile. Issues related to ubiquitous computing are becoming critical. Internet technology and data engineering should reinforce efficiency and effectiveness of business processes. These technologies should help people make better and more accurate decisions by presenting necessary information and possible consequences for the decisions. Intelligent information systems should help us better understand and manage information with ubiquitous data repository and cloud computing. This book is a compilation of some recent research findings in Internet Technology and Data Engineering. This book provides state-of-the-art accounts in computational algorithms/tools, database management and database technologies, intelligent information systems, data engineering applications, internet security, internet data management, web search, data grids, cloud computing, web-based application, and other related topics.

This book discusses issues related to ICT, intelligent systems, data science, AI, machine learning, sustainable development and overall their impacts on sustainability. It provides an overview of the technologies of future. The book also discusses novel intelligent algorithms and their applications to move from a data-centric world to sustainable world. It includes research paradigms on sustainable development goals and societal impacts. The book provides an overview of cutting-edge techniques toward sustainability and ideas to help researchers who want to understand the challenges and opportunities of using smart management perspective for sustainable society. It serves as a reference to wide ranges of readers from computer science, data analysts, AI technocrats and management researchers.

This book presents a new methodology with reduced time impact to address the problem of analog integrated circuit (IC) yield estimation by means of Monte Carlo (MC) analysis, inside an optimization loop of a population-based algorithm. The low time impact on the overall optimization processes enables IC designers to perform yield optimization with the most accurate yield estimation method, MC simulations using foundry statistical device models considering local and global variations. The methodology described by the authors delivers on average a reduction of 89% in the total number of MC simulations, when compared to the exhaustive MC analysis over the full population. In addition to describing a newly developed yield estimation technique, the authors also provide detailed background on automatic analog IC sizing and optimization.

Solar Energy Engineering and Applications gives a general and concise presentation of solar energy from a practical engineering perspective. The book provides readers with a comprehensive, accessible, and intuitive introduction to proven methods and tools for the design, implementation, and monitoring of solar energy systems and associated auxiliary technologies without covering detailed in-depth physics. Coverage includes key aspects of solar energy such as photovoltaic solar cells and systems, battery technologies, solar concentrators, and hybrid photovoltaic/thermal systems. Application areas such as homes, buildings, solar farms, street lighting, vehicles, and dryers are discussed. The methods for connecting solar farms and other photovoltaic installations to power distribution systems are explored in the context of smart grid technologies that are available to facilitate such connections. The book will be a valuable professional reference for practicing engineers and researchers involved in the applications of solar energy.

This book provides a system-level approach to making packaging decisions for millimeter-wave transceivers. In electronics, the packaging forms a bridge between the integrated circuit or individual device and the rest of the electronic system, encompassing all technologies between the two. To be able to make well-founded packaging decisions, researchers need to understand a broad range of aspects, including: concepts of transmission bands, antennas and propagation, integrated and discrete package substrates, materials and technologies, interconnects, passive and active components, as well as the advantages and disadvantages of various packages and packaging approaches, and package-level modeling and simulation. Packaging also needs to be considered in terms of system-level testing, as well as associated testing and production costs, and reducing costs. This peer-reviewed work contributes to the extant scholarly literature by addressing the aforementioned concepts and applying them to the context of the millimeter-wave regime and the unique opportunities that this transmission approach offers.

The text discusses needs, problems in the implementation of the 5G mobile communication system in the healthcare sector. It covers the issues related to advanced modulation schemes, telehealth, and remote diagnosis. It discusses important topics including virtual healthcare monitoring, spectrum sensing techniques, the role of 5G in medical applications, the role of nano-communication in healthcare informatics, and remote diagnosis. The text will be useful for graduate students, academic researchers, and professionals in the fields of electrical, and electronics and communication engineering, and allied health care. The book- Discusses novel architecture to manage the allocation of resources, interference issue among the existed and advanced radios. Provides focuse to estimate the performance, cost and accommodation of the next generation technologies design for IoT, modern health- care, and education. Covers advanced technologies and its role in health care. Discusses key topics including spectrum access, advanced waveforms, which can help in standardization of 5G based smart hospital. Explores impact of telemedicine in smart health care. This reference text covers the latest advances in the field of 5G Mobile Communication for healthcare informatics, addressing both original algorithm development and new applications of 5G mobile Communications.

Covers material characterization techniques and the development of advanced characterization technology Includes multiple length scale characterization approaches for a large variety of materials, from nano- to micron-scale, as well as their constraints Discusses advanced material characterization technology in the microstructural and property characterization fields Reviews both practical and theoretical explanations of approaches for characterizing microstructure and properties Offers fundamentals, basic instrumentation details, experimental approaches, analyses, and applications with case studies

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.

Power System Monitoring and Control (PSMC) is becoming increasingly significant in the design, planning, and operation of modern electric power systems. In response to the existing challenge of integrating advanced metering, computation, communication, and control into appropriate levels of PSMC, Power System Monitoring and Control presents a comprehensive overview of the basic principles and key technologies for the monitoring, protection, and control of contemporary wide-area power systems. A variety of topical issues are addressed, including renewable energy sources, smart grids, wide-area stabilizing, coordinated voltage regulation, and angle oscillation damping as well as the advantages of phasor measurement units (PMUs) and global positioning systems (GPS) time signal. End-of-chapter problems and solutions, along with case studies, add depth and clarity to all topics. Timely and important, Power System Monitoring and Control is an invaluable resource for addressing the myriad of critical technical engineering considerations in modern electric power system design and operation. Provides an updated and comprehensive reference for researcher and engineers working on wide-area power system monitoring and control (PSMC) Links fundamental concepts of PSMC, advanced metering and control theory/techniques, and practical engineering considerations Covers PSMC problem understanding, design, practical aspects, and timely topics such as smart/microgrid control and coordinated voltage regulation and angle oscillation damping Incorporates authors experiences teaching and researching in various international locales including Japan, Thailand, Singapore, Malaysia, Iran, and Australia

Focuses on the latest development in Big IoT Data Analytics Presents different issues of Security and Privacy Analytics for Fog-enabled IoT system Offers the latest Big Data Technologies for security analytics in Fog-enabled IoT Network Discusses the emerging role of Big Data Analytics and Technologies in detection of Cyberattacks in IoT networks Presents the prospects on Big IoT Data Analytics in Fog-enabled IoT system

Provides background material needed to understand digital twin technology Presents computational facet of digital twin Includes physics based and surrogate model representations Addresses the problem of uncertainty in measurements and modeling Discusses practical case studies of implementation of digital twins addressing additive manufacturing, server farms, predictive maintenance, and smart cities

It is useful to highlight how we rely on historical research on the potential of technology in order to problematize and make sense of the prominent role of technology in the UN's framework for sustainable development and the Sustainable Development Goals. The book follows an interdisciplinary approach wherein the contributors come from the disciplines of computer science, law, philosophy, political science, economy, sociology, amongst others.

1. Discusses the concept of Social IoT beyond the combinations of Social media and IoT 2. Stimulates research on the topic of the Social Internet of Things 3. Pays special attention to a human centric perspective 4. Provides several characteristics of social, network, and physical security associated with social information networks

This book elaborates fuzzy machine and deep learning models for single class mapping from multi-sensor, multi-temporal remote sensing images while handling mixed pixels and noise. It also covers the ways of pre-processing and spectral dimensionality reduction of temporal data. Further, it discusses the ‘individual sample as mean’ training approach to handle heterogeneity within a class. The appendix section of the book includes case studies such as mapping crop type, forest species, and stubble burnt paddy fields. Key features: Focuses on use of multi-sensor, multi-temporal data while handling spectral overlap between classes Discusses range of fuzzy/deep learning models capable to extract specific single class and separates noise Describes pre-processing while using spectral, textural, CBSI indices, and back scatter coefficient/Radar Vegetation Index (RVI) Discusses the role of training data to handle the heterogeneity within a class Supports multi-sensor and multi-temporal data processing through in-house SMIC software Includes case studies and practical applications for single class mapping This book is intended for graduate/postgraduate students, research scholars, and professionals working in environmental, geography, computer sciences, remote sensing, geoinformatics, forestry, agriculture, post-disaster, urban transition studies, and other related areas.

This book aims at offering a unique collection of ideas and experiences mainly focusing on the main streams and merger of Artificial Intelligence (AI) and the Internet of Things (IoT) for a wide slice of the communication and networking community. In the era when the world is grappling with many unforeseen challenges, scientists and researchers are envisioning smart cyber systems that guarantee sustainable development for a better human life. The main contributors that destined to play a huge role in developing such systems, among others, are AI and IoT. While AI provides intelligence to machines and data by identifying patterns, developing predictions, and detecting anomalies, IoT performs as a nerve system by connecting a huge number of machines and capturing an enormous amount of data. AI-enabled IoT, therefore, redefines the way industries, businesses, and economies function with increased automation and efficiency and reduced human interaction and costs. This book is an attempt to publish innovative ideas, emerging trends, implementation experience, and use-cases pertaining to the merger of AI and IoT. The primary market of this book is centered around students, researchers, academicians, industrialists, entrepreneurs, and professionals working in electrical/computer engineering, IT, telecom/electronic engineering, and related fields. The secondary market of this book is related to individuals working in the fields such as finance, management, mathematics, physics, environment, mechatronics, and the automation industry.

This book provides a comprehensive study on state-of-the-art developments in the control, operation, and market participation of active buildings (ABs). Active buildings can support the broader energy system by intelligent integration of renewable-based energy technologies for heating, cooling, electricity, and transport. This important reference analyzes the key features of modern control and operation techniques applied to these systems. Contributions from an international team of experts present practical methods with evidence and case studies from applications to real-world or simulated active buildings. Sample computer codes and analytical examples aid in the understanding of the presented methods. The book will support researchers working on the control and operation of buildings as an energy system, smart cities and smart grids, and microgrids, as well as researchers and developers from the building and energy engineering, economic, and operation research fields. Provides an in-depth review of building-level energy systems technologies; Covers codes, standards, and requirements for active building control systems; Includes sample computer code and analytical examples.

This book investigates the control and optimization of grid-tied power converters, with a special attention attached to pulse width modulation, which determines the size and cost of power converters as well as switching harmonics. Through the methods introduced in this book, multiple grid-tied power converters safely operate and coordinate in a highly efficient and reliable fashion, thereby boosting the operation of modern power grids. To facilitate understanding, the key methods are presented together with their associated algorithms and detailed software codes. In parallel to theoretical treatments, this book further applies the methods into practical scenarios and industrial products, thus enhancing their credibility. The book serves as a guidance for electrical engineers and researchers in the field of power electronics and power systems.

This book presents a compilation of state-of-the-art work on biomedical and cyber-physical systems in connection with the Internet of Things, and successfully blends theory and practice. The book covers the studies belonging to Biomedical and Cyber-physical System, so it is a unique effort by the research experts, who are divulging in the domain deeply. The book is very easy for the audience, who are doing study in the Biomedical and Cyber-physical System; it helps to read some real-time scenarios from where the reader in general gets many sparking ideas to convert it into the research problems in their studies. This book is of use to solve down the problems of graduate, postgraduate, doctoral industry executives, who are involving in the cutting-edge work of Internet of Things with Biomedical or Cyber-physical System, with the help of real-time solutions, given in the formation of chapters by subject's experts.The key uses of this book are in the area of Internet of Things in connection with Cyber-physical System as well as Biomedical domain.

Video has rich information including meta-data, visual, audio, spatial and temporal data which can be analysed to extract a variety of low and high-level features to build predictive computational models using machine-learning algorithms to discover interesting patterns, concepts, relations, and associations. This book includes a review of essential topics and discussion of emerging methods and potential applications of video data mining and analytics. It integrates areas like intelligent systems, data mining and knowledge discovery, big data analytics, machine learning, neural network, and deep learning with focus on multimodality video analytics and recent advances in research/applications. Features: Provides up-to-date coverage of the state-of-the-art techniques in intelligent video analytics. Explores important applications that require techniques from both artificial intelligence and computer vision. Describes multimodality video analytics for different applications. Examines issues related to multimodality data fusion and highlights research challenges. Integrates various techniques from video processing, data mining and machine learning which has many emerging indoors and outdoors applications of smart cameras in smart environments, smart homes, and smart cities. This book aims at researchers, professionals and graduate students in image processing, video analytics, computer science and engineering, signal processing, machine learning, and electrical engineering.

Owing to their high-power density, long life and environmental compatibility, supercapacitors are emerging as one of the promising storage technologies but with challenges around energy and power requirements for specific applications. This book focusses on supercapacitors including details on classification, charge storage mechanisms, related kinetics, and thermodynamics. Materials used as electrodes, electrolytes and separators, and procedures followed, characterization methods and modeling are covered along with emphasis on related applications. Features: Provides an in-depth look at supercapacitors, including their working concepts, and design. Reviews detailed explanation of various characterization and modeling techniques. Give special focus to the application of supercapacitors in major areas of environmental as well as social importance. Covers Cyclic Voltammetry, Charging-Discharging Curves, and Electrochemical Impedance Spectroscopy as characterization techniques. Includes a detailed chapter on historical perspectives on evolution of supercapacitors. This book aims at researchers, and graduate students in materials science and engineering, nanotechnology, chemistry in batteries, and physics.

• Utilizes case studies from different disciplines and sectors within engineering and other related technical areas to demonstrate how to go from data, to insight, and to decision making • Introduces various approaches to build models that exploits different algorithms • Discusses predictive models that can be built through machine learning and used to mine patterns from large datasets • Explores the augmentation of technical and mathematical materials with explanatory worked examples • Includes a glossary, lecture notes, self-assessments, and worked-out practice exercises

Introduces different optimization algorithms together to solve complex combinatorial optimization problems related to hospital management system or healthcare Applies machine learning-based analytics such as GAN networks, autoencoders, computational imaging, and quantum computing to authentic hospital management problems Discusses metaheuristic algorithms such as evolutionary algorithms to cope with the fundamental steps of image processing, image analysis, and computer vision pipeline (e.g., restoration, segmentation, registration, classification, reconstruction, or tracking) Creates a bridge between Computational Intelligence and Industrial Engineering towards designing complex and convoluted hospital management problems