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This edited volume covers technological developments and current research trends in the field of photonics, plasmonics and optics, focusing on photonic crystals, semiconductor optical devices, optical communications and optical sensors, with an emphasis on practical sectors. It broadly contains the latest research domains contributed by experts and researchers in their respective fields with a major focus on the basic physics. Works in the area of electromagnetic bandgap structures (EBG) and metasurfaces are included for applications in different aspects of communications systems. Further, it covers research phenomena of microwave photonic devices to develop miniaturized high-frequency devices.FEATURESReviews nonlinear optical phenomena related with materials and crystals and plasmonic effects on device fabricationsContains a detailed analysis on photonic crystals with their applications in making all-optical passive componentsFocusses on nonlinear optics, more precisely on crystals and materials, and computational aspects on evaluating their properties from Maxwell's equationsPresents an extensive study on the physics of EBG structures for application in antenna and high-frequency communicationsIncludes metamaterials and metasurfaces for applications in photonics as well as in microwave engineering for high-frequency communication systemsPhotonics, Plasmonics and Information Optics: Research and Technological Advances is aimed at researchers, professionals and graduate students in optical communication, silicon photonics, photonic crystals, semiconductor optical devices, metamaterials and metasurfaces, and microwave photonics.

The third volume in this sequence of books consists of a collection of contributions that aims to describe the recent progress in nonlinear differential equations and nonlinear dynamical systems (both continuous and discrete). Nonlinear Systems and Their Remarkable Mathematical Structures: Volume 3, Contributions from China just like the first two volumes, consists of contributions by world-leading experts in the subject of nonlinear systems, but in this instance only featuring contributions by leading Chinese scientists who also work in China (in some cases in collaboration with western scientists). Features Clearly illustrate the mathematical theories of nonlinear systems and its progress to both the non-expert and active researchers in this area .Suitable for graduate students in Mathematics, Applied Mathematics and some of the Engineering Sciences.Written in a careful pedagogical manner by those experts who have been involved in the research themselves, and each contribution is reasonably self-contained.

It provides insight on designed miniaturized monopole antennas for laptop comp. with dual/triple band operations, performance enhancement, wider bandwidth, increased data rate without using any additional hardware, lumped elements or vias. It includes design considerations for developing antennas for portable devices alongwith case studies.

Data-intensive systems are software applications that process and generate Big Data. Data-intensive systems support the use of large amounts of data strategically and efficiently to provide intelligence. For example, examining industrial sensor data or business process data can enhance production, guide proactive improvements of development processes, or optimize supply chain systems. Designing data-intensive software systems is difficult because distribution of knowledge across stakeholders creates a symmetry of ignorance, because a shared vision of the future requires the development of new knowledge that extends and synthesizes existing knowledge. Knowledge Management in the Development of Data-Intensive Systems addresses new challenges arising from knowledge management in the development of data-intensive software systems. These challenges concern requirements, architectural design, detailed design, implementation and maintenance. The book covers the current state and future directions of knowledge management in development of data-intensive software systems. The book features both academic and industrial contributions which discuss the role software engineering can play for addressing challenges that confront developing, maintaining and evolving systems;data-intensive software systems of cloud and mobile services; and the scalability requirements they imply. The book features software engineering approaches that can efficiently deal witha data-intensive systems as well as applications and use cases benefiting from data-intensive systems.Providing a comprehensive reference on the notion of data-intensive systems from a technical and non-technical perspective, the book focuses uniquely on software engineering and knowledge management in the design and maintenance of data-intensive systems. The book covers constructing, deploying, and maintaining high quality software products and software engineering in and for dynamic and flexible environments. This book provides a holistic guide for those who need to understand the impact of variability on all aspects of the software life cycle. It leverages practical experience and evidence to look ahead at the challenges faced by organizations in a fast-moving world with increasingly fast-changing customer requirements and expectations.

Interplant Resource Integration: Optimization and Allocation presents an introduction to the planning and implementation methods for interplant resource integration. The analytic tools provided in this book can be used for the tasks of formulating mathematical programming model(s) to maximize the achievable overall savings and also for devising the "e;fair"e; distribution scheme(s) to allocate individual financial benefits among the participating plants. Offers tools for gaining economic benefit and environmental friendlinessPresents methods for realistically feasible solutionsProvides concrete mathematical modeling proceduresFamiliarizes readers with various network synthesis approaches and shows alternative viewpoints that can be adopted to model the interactions of participating members in an interplant resource integration schemeAimed at chemical engineers, process engineers, industrial chemists, mechanical engineers in the fields of chemical processing and plant engineering.

The Internet of Energy (IoE), with the integration of advanced information and communication technologies (ICT), has led to a transformation of traditional networks to smart systems. Internet of Energy Handbook provides updated knowledge in the field of energy management with an Internet of Things (IoT) perspective. FeaturesExplains the technological developments for energy management leading to a reduction in energy consumption through topics like smart energy systems, smart sensors, communication, techniques, and utilizationIncludes dedicated sections covering varied aspects related to renewable sources of energy, power distribution, and generationIncorporates energy efficiency, optimization, and sensor technologies Covers multidisciplinary aspects in computational intelligence and IoTDiscusses building energy management aspects including temperature, humidity, the number of persons involved, and light intensityThis handbook is aimed at graduate students, researchers, and professionals interested in power systems, IoT, smart grids, electrical engineering, and transmission.

This book gives a complete overview of cloud computing, its importance, its trends, innovations, and its amalgamation with other technologies. It provides content for reference.

This book will examine structural mechanics from a fundamental point of view, and allow students to use logical inference and creative reasoning to solve problems versus rote memorization, which is what most textbooks in the field currently offer. It will present theory and also emphasize the relevant mathematical concepts as related to structural mechanics in each chapter. It will include problems, examples, and case studies throughout, and present simulation technique employed in structural engineering software. It will explain the Finite Element Method for elastic bodies, trusses, frames, and more, and present other modern methods of structural analysis.¿Presents the material from the general (theory and fundamentals) to the particular (specific applications).Emphasizes the relevant mathematical concepts as related to structural mechanics in each chapter.Presents analysis of ductile structures and modern methods in analysis of stability and dynamics.Explains the Finite Element Method for elastic bodies, trusses, frames, and more.Includes numerous worked examples and case studies throughout..

High penetration of renewable energy sources (RESs) imposes several techno-economic challenges to distribution system operators (DSOs) due to their variability in power generation and, hence, increases the need for additional operational flexibility. Operational flexibility aims at securely covering the possible variations at the minimum cost using emerging flexible alternatives or designing novel local market mechanisms to incentivize flexibility providers. In such a situation, the DSOs can use the potential of flexible options such as energy storages (ESs), demand response (DR), plug-in electric vehicles (PEVs), or on-site fast run generators. However, each of the mentioned flexible resources has its own specific characteristics and requirements that should be taken into account, and this raises the complexity. Optimal network reconfiguration schemes are the other solution for increasing power system flexibility at the distribution level. There is a great research gap related to renewable-based distribution network planning from a flexibility point of view. Therefore, this book aims to discuss the additional flexibility needs introduced by RESs and describe general approaches to analyze the need for and provision of additional flexibility in future distribution networks at both the planning and operational time frames. This book successfully suggests new solutions and techniques to increase the flexibility in distribution systems. It also highlights the needs for moving towards smart distribution grids in order to enhance the flexibility in modern and future power systems.

Today, there are various textbooks dealing with a broad range of topics in the power system area of electrical engineering. Some of them are considered to be classics.

A recent study found that most business leaders believe in the value of using data and analytics, but say they lack confidence in measures of their effectiveness. In the data analytics community, intuition has been rarely discussed in executive decision-making. The book examines how well do executives trust their intuition.

Innovation based in data analytics is a contemporary approach to developing empirically supported advances that encourage entrepreneurial activity inspired by novel marketing inferences. Data Analytics in Marketing, Entrepreneurship, and Innovation covers techniques, processes, models, tools, and practices for creating business opportunities through data analytics. It features case studies that provide realistic examples of applications. This multifaceted examination of data analytics looks at: Business analyticsApplying predictive analytics Using discrete choice analysis for decision-making Marketing and customer analyticsDeveloping new productsTechnopreneurshipDisruptive versus incremental innovationThe book gives researchers and practitioners insight into how data analytics is used in the areas of innovation, entrepreneurship, and marketing. Innovation analytics helps identify opportunities to develop new products and services, and improve existing methods of product manufacturing and service delivery. Entrepreneurial analytics facilitates the transformation of innovative ideas into strategy and helps entrepreneurs make critical decisions based on data-driven techniques. Marketing analytics is used in collecting, managing, assessing, and analyzing marketing data to predict trends, investigate customer preferences, and launch campaigns.

Brain and Behavior Computing offers insights into the functions of the human brain. This book provides an emphasis on brain and behavior computing with different modalities available such as signal processing, image processing, data sciences, statistics further it includes fundamental, mathematical model, algorithms, case studies, and future research scopes. It further illustrates brain signal sources and how the brain signal can process, manipulate, and transform in different domains allowing researchers and professionals to extract information about the physiological condition of the brain. Emphasizes real challenges in brain signal processing for a variety of applications for analysis, classification, and clustering. Discusses data sciences and its applications in brain computing visualization. Covers all the most recent tools for analysing the brain and it's working.Describes brain modeling and all possible machine learning methods and their uses.Augments the use of data mining and machine learning to brain computer interface (BCI) devices.Includes case studies and actual simulation examples.This book is aimed at researchers, professionals, and graduate students in image processing and computer vision, biomedical engineering, signal processing, and brain and behavior computing.

Acid mine drainage (AMD) is essentially the flow of water polluted with metals and other substances from existing/old mining areas and is considered to be one of the sources of pollution. A wide range of technologies are available for preventing AMD generation and/or treating AMD before discharge, but there is a shift towards recovery of industrially useful materials and products from AMD. Acid Mine Drainage: From Waste to Resources explores novel methods developed for the reuse and/or recovery of industrially useful materials from AMD including discussing generation, prediction, prevention, and remediation processes. It includes legislation and policy frameworks governing AMD and its environmental/health impacts.¿Provides a detailed overview of the mining operations and discusses the geochemical and hydrogeological context of acid mine drainage AMD formation, prediction and impactPresents a holistic approach to AMD generation, prediction, prevention, and remediation processesPresents exclusive material on reuse, recycling, and recovery of industrially useful materials from AMDGives a detailed overview of the legislation and policy regulatory framework governing the management of AMDAnalyses the effects of AMD on the environment and healthThis volume is aimed at researchers and professionals in metallurgical engineering, chemical engineering, environmental engineering, and mining engineering, including policy makers.

The safety, maintainability, and maintenance of systems have become more important than ever before. Global competition and other factors are forcing manufacturers to produce highly safe and easily maintainable engineering systems.

This book focusses on recent and emerging techniques for enhancement of smart healthcare, smart communication, and smart transportation system. It covers topics ranging from Machine learning techniques, IoT, Security aspects of medical documents, Performance of various protocols used in the communication and transportation environment.

Structural Seismic and Civil Engineering focuses on civil engineering research, anti-seismic technology and engineering structure. These proceedings gather the most cutting-edge research and achievements, aiming to provide scholars and engineers with preferable research directions and engineering solutions as reference. Subjects in these proceedings include:Engineering StructureMaterials of Civil EngineeringStructural Seismic ResistanceMonitoring and TestingThe works in these proceedings aim to promote the development of civil engineering and earthquake engineering. Thereby, promoting scientific information interchange between scholars from top universities, research centers and high-tech enterprises working all around the world.