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Problems of High Frequency Diffraction by Elongated Bodies (Springer Series in Optical Sciences #243)

Classical asymptotic expansions, while producing a good approximation for the diffracted fields in general, appear hardly applicable in the case of extremely elongated bodies. Thus, there are problems that are on the one hand too difficult for numerical solvers due to large system size, and on the other hand make the description with classical asymptotic methods hard. The book explains why this happens and suggests the way out. By defining the characteristics of a strongly elongated body it introduces a special class of asymptotic approximations, which are in some sense uniform with respect to the rate of body elongation. Chapter 1 briefly describes the results of V. A. Fock and further developments of his approach towards the problems of diffraction by elongated obstacles. It formulates the cases of moderately and strongly elongated bodies. The rest of the book describes the approach of special parabolic equations, which lead to new asymptotic approximations for the diffracted fields. Chapters 2, 3 and 4 discuss diffraction by bodies of elliptical shape: The elliptic cylinder with a strongly elongated cross section and prolate spheroid with a high aspect ratio. Chapter 5 generalizes the approach to some other shapes such as narrow cones and narrow hyperboloids. Mathematical formulas for the Whittaker functions widely used in the book are collected in the Appendix. The concise derivations are supplied with numerous test examples that compare asymptotic approximations with numerically computed fields and clarify the specifics of high frequency diffraction by strongly elongated bodies. The reference solutions presented in the book enable one to validate the newly developed numerical solvers.

Applications of Holomorphic Functions in Geometry (Frontiers in Mathematics)

This book expounds on the recent developments in applications of holomorphic functions in the theory of hypercomplex and anti-Hermitian manifolds as well as in the geometry of bundles. It provides detailed information about holomorphic functions in algebras and discusses some of the areas in geometry with applications. The book proves the existence of a one-to-one correspondence between hyper-complex anti-Kähler manifolds and anti-Hermitian manifolds with holomorphic metrics, and also a deformed lifting to bundles. Researchers and students of geometry, algebra, topology and physics may find the book useful as a self-study guide.

Theoretical Studies on Extended Higgs Sectors Towards Future Precision Measurements (Springer Theses)

This book investigates the physics of the discovered Higgs boson and additional Higgs bosons in the extended Higgs models which includes higher-order quantum corrections. While the 125 GeV Higgs boson was discovered, the structure of the Higgs sector is still a mystery. Since the Higgs sector determines the concrete realization of the Higgs mechanism, the study of its nature is one of the central interests in current and future high-energy physics. The book begins with a review of the standard model and the two-Higgs doublet model, which is one of the representatives of the extended Higgs models. Subsequently, we discuss the studies of the two-Higgs doublet model at the lowest order of perturbation. Following the lowest-order analysis, we study the higher-order electroweak corrections in Higgs physics. After reviewing the renormalization procedure and the higher-order corrections in the decays of the discovered Higgs boson, we discuss the higher-order corrections in the Higgs strahlung process from an electron-positron collision, the decays of the additional charged and CP-odd Higgs bosons in the two-Higgs doublet model. From the series of these studies, it is found that the nature of the Higgs sector can be widely investigated by future collider experiments.

Fault-Tolerant Control for Time-Varying Delayed T-S Fuzzy Systems (Intelligent Control and Learning Systems #9)

This book delves into the complexities of fault estimation and fault-tolerant control for nonlinear time-delayed systems. Through the use of multiple-integral observers, it addresses fault estimation and active fault-tolerant control for time-delayed fuzzy systems with actuator faults and both actuator and sensor faults. Additionally, the book explores the use of sliding mode control to solve issues of sensor fault estimation, intermittent actuator fault estimation, and active fault-tolerant control for time-delayed switched fuzzy systems. Furthermore, it presents the use of H∞ guaranteed cost control for both time-delayed switched fuzzy systems and time-delayed switched fuzzy stochastic systems with intermittent actuator and sensor faults. Finally, the problem of delay-dependent finite-time fault-tolerant control for uncertain switched T-S fuzzy systems with multiple time-varying delays, intermittent process faults and intermittent sensor faults is studied. The research on fault estimation and tolerant control has drawn attention from engineers and scientists in various fields such as electrical, mechanical, aerospace, chemical, and nuclear engineering. The book provides a comprehensive framework for this topic, placing a strong emphasis on the importance of stability analysis and the impact of result conservatism on the design and implementation of observers and controllers. It is intended for undergraduate and graduate students interested in fault diagnosis and tolerant control technology, researchers studying time-varying delayed T-S fuzzy systems, and observer/controller design engineers working on system stability applications.

Substructuring Method for Civil Structural Health Monitoring (Engineering Applications of Computational Methods #15)

This book investigates the substructuring technology in structural health monitoring (SHM) to improve the accuracy and efficiency of the present SHM methods. SHM has been developed for monitoring, evaluation, and maintenance of civil structures. As the civil structures are usually large scale and a large number of sensors are deployed on a structure, accurate evaluation and maintenance of civil structures are always time-consuming. The book establishes a fundamental framework of substructuring method for the fast analysis of finite element (FE) model and monitoring data. Several practical civil structures are used for illustration. The book is intended for undergraduate and graduate students who are interested in SHM technology, researchers investigating the accurate, efficient, and effective methods in SHM field, and engineers working on evaluation and maintenance of civil structures or other structural dynamics applications.

Proceedings of the International Conference on Intelligent Computing, Communication and Information Security: ICICCIS 2022 (Algorithms for Intelligent Systems)

This book contains high quality research papers accepted and presented at the International Conference on Intelligent Computing, Communication and Information Security (ICICCIS 2022), organized by Swami Keshvanand Institute of Technology, Management & Gramothan (SKIT), Jaipur, India during 25-26, November 2022. It presents the solutions of issues and challenges in intelligent computing, communication and information security domains. This book provides a background to problem domains, considering the progress so far, assessing the potential of such approaches, and exploring possible future directions as a single readily accessible source.

Frontier Computing: Theory, Technologies And Applications Fc 2016 (Lecture Notes In Electrical Engineering Ser. #422)

Intelligent Technologies: Concepts, Applications, and Future Directions, Volume 2 (Studies in Computational Intelligence #1098)

This book discusses automated computing systems which are mostly powered by intelligent technologies like artificial intelligence, machine learning, image recognition, speech processing, cloud computing, etc., to perform complex automated tasks which are not possible by traditional computing systems. The chapters are extended version of research works presented at second PhD Research Symposium in various advanced technologies used in the field of computer science. This book provides an opportunity for the researchers to get ideas regarding the ongoing works that help them in formulating problems of their interest. The academicians can also be benefited to know about the current research trends that smooth the way to guide their students to carry out research work in the proper direction. The industry people will be also facilitated to know about the current advances in research work and materialize the research work into industrial applications.

Bio-Inspired Computing: 14th International Conference, Bic-ta 2019, Zhengzhou, China, November 22-25, 2019, Revised Selected Papers, Part Ii (Communications In Computer And Information Science Ser. #1160)

Environmental, Social and Governance and Sustainable Development in Healthcare (Sustainable Development Goals Series)

This book applies environmental, social and governance (ESG) to issues of sustainable development in healthcare. ESG reporting has been widely used for some time in the business industry to show the economic, social and environmental responsibilities of companies that aim to achieve superior ESG performance for lower risk, more accountability and transparency. Moreover, public-listed companies in healthcare have been growing in significant numbers in recent years. The application or practice of ESG in healthcare has become a growing trend for these large organisations looking to demonstrate their strengths in areas of financing, operations, sustainability and social responsibilities. Such an approach is essential not only for the long-term development of the companies but also for services delivered by healthcare practitioners. Equally, the implications to Sustainable Development Goal (SDG) 3 is relevant to healthcare worldwide with a growing ageing population, which has led to a great burden of care in many countries, particularly in the public sector. The potential development and expansion in private healthcare services, accelerated by technology advancement, has demanded a new paradigm in the healthcare industry, particularly in business, service delivery and policy. The book examines this paradigm through health in all policies, ESG and SDG 3 objectives, research, training and practice. It is relevant to graduate students and scholars working in areas relating to health, business and the SDGs and is also useful to policymakers and practitioners in healthcare.

Machine Intelligence and Data Science Applications: Proceedings of MIDAS 2022 (Algorithms for Intelligent Systems)

This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications (MIDAS 2022), held on October 28 and 29, 2022, at the University of Versailles—Paris-Saclay, France. The book covers applications in various fields like data science, machine intelligence, image processing, natural language processing, computer vision, sentiment analysis, and speech and gesture analysis. It also includes interdisciplinary applications like legal, healthcare, smart society, cyber-physical system, and smart agriculture. The book is a good reference for computer science engineers, lecturers/researchers in the machine intelligence discipline, and engineering graduates.

Elementary Convexity with Optimization (Texts and Readings in Mathematics #83)

This book develops the concepts of fundamental convex analysis and optimization by using advanced calculus and real analysis. Brief accounts of advanced calculus and real analysis are included within the book. The emphasis is on building a geometric intuition for the subject, which is aided further by supporting figures. Two distinguishing features of this book are the use of elementary alternative proofs of many results and an eclectic collection of useful concepts from optimization and convexity often needed by researchers in optimization, game theory, control theory, and mathematical economics. A full chapter on optimization algorithms gives an overview of the field, touching upon many current themes. The book is useful to advanced undergraduate and graduate students as well as researchers in the fields mentioned above and in various engineering disciplines.

Proceedings of the NIELIT's International Conference on Communication, Electronics and Digital Technology: NICE-DT 2023 (Lecture Notes in Networks and Systems #676)

The book presents selected papers from NIELIT's International Conference on Communication, Electronics and Digital Technology (NICE-DT 2023) held during February 10–11, 2023, in New Delhi, India. The book covers state-of-the-art research insights on artificial intelligence, machine learning, big data, data analytics, cyber security and forensic, network and mobile security, advance computing, cloud computing, quantum computing, VLSI and semiconductors, electronics system, Internet of Things, robotics and automations, blockchain and software technology, digital technologies for future, assistive technology for divyangjan (people with disabilities) and Strategy for Digital Skilling for building a global Future Ready workforce.

Deep Learning and Medical Applications (Mathematics in Industry #40)

Over the past 40 years, diagnostic medical imaging has undergone remarkable advancements in CT, MRI, and ultrasound technology. Today, the field is experiencing a major paradigm shift, thanks to significant and rapid progress in deep learning techniques. As a result, numerous innovative AI-based programs have been developed to improve image quality and enhance clinical workflows, leading to more efficient and accurate diagnoses.AI advancements of medical imaging not only address existing unsolved problems but also present new and complex challenges. Solutions to these challenges can improve image quality and reveal new information currently obscured by noise, artifacts, or other signals. Holistic insight is the key to solving these challenges. Such insight may lead to a creative solution only when it is based on a thorough understanding of existing methods and unmet demands.This book focuses on advanced topics in medical imaging modalities, including CT and ultrasound, with the aim of providing practical applications in the healthcare industry. It strikes a balance between mathematical theory, numerical practice, and clinical applications, offering comprehensive coverage from basic to advanced levels of mathematical theories, deep learning techniques, and algorithm implementation details. Moreover, it provides in-depth insights into the latest advancements in dental cone-beam CT, fetal ultrasound, and bioimpedance, making it an essential resource for professionals seeking to stay up-to-date with the latest developments in the field of medical imaging.

Statistical Inference Based on Kernel Distribution Function Estimators (SpringerBriefs in Statistics)

This book presents a study of statistical inferences based on the kernel-type estimators of distribution functions. The inferences involve matters such as quantile estimation, nonparametric tests, and mean residual life expectation, to name just some. Convergence rates for the kernel estimators of density functions are slower than ordinary parametric estimators, which have root-n consistency. If the appropriate kernel function is used, the kernel estimators of the distribution functions recover the root-n consistency, and the inferences based on kernel distribution estimators have root-n consistency. Further, the kernel-type estimator produces smooth estimation results. The estimators based on the empirical distribution function have discrete distribution, and the normal approximation cannot be improved—that is, the validity of the Edgeworth expansion cannot be proved. If the support of the population density function is bounded, there is a boundary problem, namely the estimator does not have consistency near the boundary. The book also contains a study of the mean squared errors of the estimators and the Edgeworth expansion for quantile estimators.

Dynamics of Asymmetric Dissipative Systems: From Traffic Jam to Collective Motion (Springer Series in Synergetics)

This book provides the dynamics of non-equilibrium dissipative systems with asymmetric interactions (Asymmetric Dissipative System; ADS). Asymmetric interaction breaks "the law of action and reaction" in mechanics, and results in non-conservation of the total momentum and energy. In such many-particle systems, the inflow of energy is provided and the energy flows out as dissipation. The emergences of non-trivial macroscopic phenomena occur in the non-equilibrium energy balance owing to the effect of collective motions as phase transitions and bifurcations. ADS are applied to the systems of self-driven interacting particles such as traffic and granular flows, pedestrians and evacuations, and collective movement of living systems. The fundamental aspects of dynamics in ADS are completely presented by a minimal mathematical model, the Optimal Velocity (OV) Model. Using that model, the basics of mathematical and physical mechanisms of ADS are described analytically with exact results. The application of 1-dimensional motions is presented for traffic jam formation. The mathematical theory is compared with empirical data of experiments and observations on highways. In 2-dimensional motion pattern formations of granular media, pedestrians, and group formations of organisms are described. The common characteristics of emerged moving objects are a variety of patterns, flexible deformations, and rapid response against stimulus. Self-organization and adaptation in group formations and control of group motions are shown in examples. Another OV Model formulated by a delay differential equation is provided with exact solutions using elliptic functions. The relations to soliton systems are described. Moreover, several topics in ADS are presented such as the similarity between the spatiotemporal patterns, violation of fluctuation dissipation relation, and a thermodynamic function for governing the phase transition in non-equilibrium stationary states.

Proceedings of Trends in Electronics and Health Informatics: TEHI 2022 (Lecture Notes in Networks and Systems #675)

This book includes selected peer-reviewed papers presented at the International Conference on Trends in Electronics and Health Informatics (TEHI 2022), held at University of Puebla, Puebla, México, during December 7–9, 2022. The book is broadly divided into five sections—artificial intelligence and soft computing, healthcare informatics, Internet of things and data analytics, electronics, and communications.

Japanese Population Geographies I: Migration, Urban Areas, and a New Concept (SpringerBriefs in Population Studies)

This is the first anthology that conveys in detail the actual situation of population geographies in Japan, a country facing some of the world's most serious demographic trends such as low fertility, population aging, and depopulation. The anthology consists of two volumes with the common title Japanese Population Geographies. All of the included entries are based on original Japanese papers written by leading geographers and published within the past few years, useful for understanding Japan’s current population geographies. The first volume analyzes the postwar transition of internal migration, examining the structural changes of population in urban areas, and proposes a new measure different from the traditional resident population. This volume also presents an investigation of the retirement migration of baby boomers as well as displacement migration due to the 2011 Great East Japan Earthquake. The second volume’s contents examine the residential choices of minority populations such as foreign residents and sexual minorities. It also discusses future prospects associated with mono-polar concentration into Tokyo, regional forecasting using population projections based on small-area units, and the importance of a politico–economic perspective in the future research. Taken as a whole, this anthology offers the following two significant contributions. First, the excellent achievements obtained in Japan, which is experiencing serious demographic trends, reflect key developments within the context of the world's population geography. The second contribution is that the book brings the latest insights and important policy implications to countries that are facing various issues associated with decreasing fertility, aging population, and declining population.

Digital Landscape Architecture: Logic, Structure, Method and Application

Closely related to the frontier research field of “digital technology”, this book reshapes the planning and design process of landscape architecture from theoretical and practical levels. It gives a full-scale discussion to the logic, structure, method, and application of digital landscape architecture, leading this field to a new era of perception-quantification research mode. Readers will get a comprehensive understanding of digital landscape architecture, know about multiple digital methods for landscape planning and design, and learn a lot of practical projects with digital technology. And it will inspire the readers to think about new patterns and approaches to landscape planning, rather than traditional ways. This book is organized under a clear logic, which helps the readers easily get the core of the work. A lot of logic diagrams showing between the theoretical paragraphs highly summarize the key points of the book, providing a better readability and acceptability. This book also contains many detailed drawings and graphics for the project cases, which gives a good demonstration of how digital methods could be applied in practice.

Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications: ICDSMLA 2022, 26–27 December, Hyderabad, India (Lecture Notes in Electrical Engineering #1038)

This book includes peer reviewed articles from the 4th International Conference on Data Science, Machine Learning and Applications, 2022, held at the Hyderabad Institute of Technology & Management on 26-27th December, India. ICDSMLA is one of the most prestigious conferences conceptualized in the field of Data Science & Machine Learning offering in-depth information on the latest developments in Artificial Intelligence, Machine Learning, Soft Computing, Human Computer Interaction, and various data science & machine learning applications. It provides a platform for academicians, scientists, researchers and professionals around the world to showcase broad range of perspectives, practices, and technical expertise in these fields. It offers participants the opportunity to stay informed about the latest developments in data science and machine learning.

Japanese Population Geographies II: Minority Populations and Future Prospects (SpringerBriefs in Population Studies)

This is the first anthology that conveys in detail the actual situation of population geographies in Japan, a country facing some of the world's most serious demographic trends such as low fertility, population aging, and depopulation. The anthology consists of two volumes with the common title Japanese Population Geographies. All of the included entries are based on original Japanese papers written by leading geographers and published within the past few years, useful for understanding Japan’s current population geographies. The first volume analyzes the postwar transition of internal migration, examining the structural changes of population in urban areas, and proposes a new measure different from the traditional resident population. This volume also presents an investigation of the retirement migration of baby boomers as well as displacement migration due to the 2011 Great East Japan Earthquake. The second volume’s contents examine the residential choices of minority populations such as foreign residents and sexual minorities. It also discusses future prospects associated with mono-polar concentration into Tokyo, regional forecasting using population projections based on small-area units, and the importance of a politico–economic perspective in future research. Taken as a whole, this anthology offers the following two significant contributions. First, the excellent achievements obtained in Japan, which is experiencing serious demographic trends, reflect key developments within the context of the world's population geography. The second contribution is that the publication brings the latest insights and important policy implications to countries that are facing various issues associated with decreasing fertility, aging population, and declining population.

Facets of Behaviormetrics: The 50th Anniversary of the Behaviormetric Society (Behaviormetrics: Quantitative Approaches to Human Behavior #4)

This edited book is the first one written in English that deals comprehensively with behavior metrics. The term “behaviormetrics” comprehends the research including all sorts of quantitative approaches to disclose human behavior. Researchers in behavior metrics have developed, extended, and improved methods such as multivariate statistical analysis, survey methods, cluster analysis, machine learning, multidimensional scaling, corresponding analysis or quantification theory, network analysis, clustering, factor analysis, test theory, and related factors. In the spirit of behavior metrics, researchers applied these methods to data obtained by surveys, experiments, or websites from a diverse range of fields. The purpose of this book is twofold. One is to represent studies that display how the basic elements of behavior metrics have developed into present-day behavior metrics. The other is to represent studies performed mainly by those who would like to pioneer new fields of behavior metrics and studies that display elements of future behavior metrics. These studies consist of various characteristics such as those dealing with theoretical or conceptual subjects, the algorithm, the model, the method, and the application to a wide variety of fields. This book helps readers to understand the present and future of behavior metrics.

Dynamical Phase Transitions in Chaotic Systems (Nonlinear Physical Science)

This book discusses some scaling properties and characterizes two-phase transitions for chaotic dynamics in nonlinear systems described by mappings. The chaotic dynamics is determined by the unpredictability of the time evolution of two very close initial conditions in the phase space. It yields in an exponential divergence from each other as time passes. The chaotic diffusion is investigated, leading to a scaling invariance, a characteristic of a continuous phase transition. Two different types of transitions are considered in the book. One of them considers a transition from integrability to non-integrability observed in a two-dimensional, nonlinear, and area-preserving mapping, hence a conservative dynamics, in the variables action and angle. The other transition considers too the dynamics given by the use of nonlinear mappings and describes a suppression of the unlimited chaotic diffusion for a dissipative standard mapping and an equivalent transition in the suppression of Fermi acceleration in time-dependent billiards. This book allows the readers to understand some of the applicability of scaling theory to phase transitions and other critical dynamics commonly observed in nonlinear systems. That includes a transition from integrability to non-integrability and a transition from limited to unlimited diffusion, and that may also be applied to diffusion in energy, hence in Fermi acceleration. The latter is a hot topic investigated in billiard dynamics that led to many important publications in the last few years. It is a good reference book for senior- or graduate-level students or researchers in dynamical systems and control engineering, mathematics, physics, mechanical and electrical engineering.

Bioaerosol Characterisation, Transportation and Transmission: Fundamental, Modelling and Application

This book aims to predict and model the transport of bioaerosols, identify their transmission characteristics, and assess occupants’ infection risks. Although existing epidemiological books provide fundamental infection rate of existing diseases, the ability of predicting emerging disease transmission in the air and assessing occupants’ infection risks to the bioaerosols is significantly lacking. This book is considered as a professional book that provides in-depth discussion of the aforementioned issues and provides potential approaches to solve these issues would be highly demanded by readers in this emerging research field. This book offers essential and systematic analysis on the fate of bioaerosols from their release in the air to the final destination in human’s respiratory systems through direct 3D visualizations techniques. It also provides quantifiable method to assess each occupant’s infection risks to the infectious bioaerosols in indoor environments. The readers will gain essential fundamental characteristics of bioaerosols (active time, viability, etc.) and will gain the advanced skills on how to integrate these properties into numerical modeling and assess the occupants’ exposure risks.

Kernel Determination Problems in Hyperbolic Integro-Differential Equations (Infosys Science Foundation Series)

This book studies the construction methods for solving one-dimensional and multidimensional inverse dynamical problems for hyperbolic equations with memory. The theorems of uniqueness, stability and existence of solutions of these inverse problems are obtained. This book discusses the processes, by using generalized solutions, the spread of elastic or electromagnetic waves arising from sources of the type of pulsed directional “impacts” or “explosions”. This book presents new results in the study of local and global solvability of kernel determination problems for a half-space. It describes the problems of reconstructing the coefficients of differential equations and the convolution kernel of hyperbolic integro-differential equations by the method of Dirichlet-to-Neumann. The book will be useful for researchers and students specializing in the field of inverse problems of mathematical physics.