Authoritative resource describing the artificial intelligence and advanced technologies in smart power systems with simulation examples and case studies Artificial Intelligence-based Smart Power Systems presents advanced technologies used in various aspects of smart power systems, especially grid-connected and industrial evolution, covering many new topics such as distribution Phasor management, blockchain technologies for smart power systems, the application of deep learning and reinforced learning, and artificial intelligence techniques. The text also explores the potential consequences of artificial intelligence and advanced technologies in smart power systems in the forthcoming years. To enhance and reinforce learning, the highly qualified editors include many learning resources throughout the text, including MATLAB and HIL codes, end-of-chapter problems, end-of-book solutions, practical examples, and case studies. Artificial Intelligence-based Smart Power Systems includes specific information on topics such as: Modeling and analysis of smart power systems, covering steady state analysis, dynamic analysis, voltage stability, and more Recent advancement in power electronics for smart power systems, covering power electronic converters for renewable energy sources, electric vehicles, and HDVC/FACTs Distribution Phasor Measurement Units (PMU) in smart power systems, covering the need for PMU in distribution and automation of system reconfigurations Power and energy management systems for microgrids Engineering colleges and universities, along with industry research centers, can use the in-depth subject coverage and the extensive supplementary learning resources found in Artificial Intelligence-based Smart Power Systems to gain a holistic understanding of the subject and be able to harness that knowledge within a myriad of practical applications.
The First International Symposium on Combinatorics, Algorithms, Probabilistic and Experimental Methodologies was held in Hangzhou, China, in April 2007. The symposium provided an interdisciplinary forum for researchers to share their discoveries and approaches; search for ideas, methodologies, and tool boxes; find better, faster, and more accurate solutions; and develop a research agenda of common interest. This volume constitutes the refereed post-proceedings of the symposium. Inside you'll find 46 full papers. They represent some of the most important thinking and advancements in the field. The papers address large data processing problems using different methodologies from major disciplines such as computer science, combinatorics, and statistics.
Less than a decade has elapsed since the publication in 2000 of the first anthology devoted to lipocalins (Biochim Biophys Acta 1482, 2000), and only a few years since the first Lipocalin International Symposium in Copenhagen in 2003 (Benzon Symposium no. 50The Lipocalin Protein Superfamily, Copenhagen, 2003) and the introduction of a public lip
Navigate the Trail of Self-Publishing with Ease: A Comprehensive Guide to Book MarketingSelf-publishing your book is just the start of your journey. The real challenge lies in promoting your masterpiece, making it visible to the right audience, and generating sales. "The 101 of Book Marketing: A Self-Published Author's Guide" has all the answers you've been seeking.This comprehensive guide deciphers the cluttered landscape of self-publishing, offering clear insights into its definition, benefits, and challenges. The book makes a compelling case for why book marketing is crucial, highlighting realistic expectations for organic growth that won't cough up your fortune.Did you know that you, as an author, are a brand yourself? This book helps you develop and consistently maintain your author brand. It also provides tactics to build a robust online presence, showcasing the importance of having a personal website, social media engagement, and leveraging networking platforms like Facebook, Twitter, LinkedIn, Instagram, and more.While emphasizing the digital world, the book doesn't disregard the magic of offline marketing strategies. It guides you on organizing book readings and signings, networking events, and speaking engagements. You also get a roadmap for accumulating beneficial book reviews and methods of implementing promotional techniques for boosting visibility.Advertising your book doesn't have to be a daunting task. This guide demystifies where to advertise, weighing in on paid advertising versus free advertising options. Discover how Artificial Intelligence is transforming book marketing and how Amazon's algorithm can be harnessed for self-publishing success.Gauge your success and maintain the marketing momentum with the help of valuable tips on setting and measuring goals and formulating long-term marketing plans. Learn from the case studies of successful self-published authors, concluding with an appendix of useful resources for your reference. Get your copy today and embark on a successful self-publishing journey!
Quotient Space Based Problem Solving provides an in-depth treatment of hierarchical problem solving, computational complexity, and the principles and applications of multi-granular computing, including inference, information fusing, planning, and heuristic search. - Explains the theory of hierarchical problem solving, its computational complexity, and discusses the principle and applications of multi-granular computing - Describes a human-like, theoretical framework using quotient space theory, that will be of interest to researchers in artificial intelligence - Provides many applications and examples in the engineering and computer science area - Includes complete coverage of planning, heuristic search and coverage of strictly mathematical models
This book highlights key technologies of signal processing in pulsar-based navigation. It discusses the modeling, simulation, acquisition, and correction of relativistic effects of signals from X-ray pulsars. It demonstrates the methods of contour reconstruction and denoising, and introduces the concept and methods of the average contour. The performance of the phase measurement methods using signal contour is analyzed. The role of wavelets and bispectral methods in the denoising of pulsar signals is discussed. The measurements of pulsar signals’ arriving time are looked into from the perspective of time series. The book is intended for researchers and engineers interested in pulsar-based navigation. It is also a good reference source for senior undergraduates and postgraduate students majoring in navigation and signal processing.
The Semantic Web is an idea of World Wide Web inventor Tim Berners-Lee that the Web as a whole can be made more intelligent and perhaps even intuitive about how to serve a users needs. Although search engines index much of the Web's content, they have little ability to select the pages that a user really wants or needs. Berners-Lee foresees a number of ways in which developers and authors, singly or in collaborations, can use self-descriptions and other techniques so that the context-understanding programs can selectively find what users want. The Semantic Web: Crafting Infrastructure for Agency presents a more holistic view of the current state of development and deployment. This a comprehensive reference to the rapidly developing technologies, which are enabling more intelligent and automated transactions over the internet, and a visionary overview of the implications of deploying such a layer of infrastructure. A through examination of the Semantic Web, including the following topics: web information management, languages and protocols, application and tools, and collaboration and agency. A unique volume of practical information, in-depth analysis, conceptual overviews and contextual material from professionals in the field. Features appendices of technical terms and glossary, Semantic Web resources, intellectual property issues and lists of elements. This is essential reading for engineers, web developers and industry professionals wishing to enhance their knowledge of recent developments. Management staff, lecturers. postgraduate and undergraduate students will also find this book appealing.
Geopolymer Concrete Structures with Steel and FRP Reinforcements: Analysis and Design focuses on structural behavior, including the aspects of compression, bending strength and combined action of GPC members, with the book's content based on published studies over the last two decades. Geopolymer concrete (GPC) structural members reinforced with FRP reinforcement have some advantages in resisting forces compared to conventional concrete or steel tubular members. Among the most important are the high strength and bending stiffness, fire and impact performance and favorable, construction ability and durability. To this end, there are no significant applications of these new structural elements worldwide, partly due to the lack of the understanding of their behavior and insufficient design provisions in different design manuals. This book, therefore, seeks to highlight their characteristics and future potential. - Provides comprehensive, up-to-date advances on Geopolymer Concrete (GPC) reinforced with steel and FRP bars and stirrups construction with a summary of over 100 papers published in the last decade - Compares the behavior and failure modes between Geopolymer Concrete (GPC) structures and Ordinary Portland Concrete (OPC) structures - Explains important concepts such as bond, confinement, fracture of stirrups and buckling of FRP bars - Includes an in-depth analysis of ultimate strength of GPC and OPC, considering governing failure modes - Presents design examples following international standards, including North America ACI 440.1R-15, Canadian CAN/CSA S806, and Australian such as AS 3600
This book provides a general formalism for the calculation of the spectral correlation function for the fluctuating electromagnetic field. The procedure is applied to the radiative heat transfer and the van der Waals friction using both the semi-classical theory of the fluctuating electromagnetic field and quantum field theory. Applications of the radiative heat transfer and non-contact friction to scanning probe spectroscopy are presented. The theory gives a tentative explanation for the experimental non-contact friction data. The book explains that radiative heat transfer and the van der Waals friction are largely enhanced at short separations between the bodies due to the evanescent electromagnetic waves. Particular strong enhancement occurs if the surfaces of the bodies can support localized surface modes like surface plasmons, surface polaritons or adsorbate vibrational modes. An electromagnetic field outside a moving body can also be created by static charges which are always present on the surface of the body due to inhomogeneities, or due to a bias voltage. This electromagnetic field produces electrostatic friction which can be significantly enhanced if on the surface of the body there is a 2D electron or hole system or an incommensurate adsorbed layer of ions exhibiting acoustic vibrations.
This book provides the fundamental theory of distributed optimization, game and learning. It includes those working directly in optimization,-and also many other issues like time-varying topology, communication delay, equality or inequality constraints,-and random projections. This book is meant for the researcher and engineer who uses distributed optimization, game and learning theory in fields like dynamic economic dispatch, demand response management and PHEV routing of smart grids.
The book focuses on smart computing for crowdfunding usage, looking at the crowdfunding landscape, e.g., reward-, donation-, equity-, P2P-based and the crowdfunding ecosystem, e.g., regulator, asker, backer, investor, and operator. The increased complexity of fund raising scenario, driven by the broad economic environment as well as the need for using alternative funding sources, has sparked research in smart computing techniques. Covering a wide range of detailed topics, the authors of this book offer an outstanding overview of the current state of the art; providing deep insights into smart computing methods, tools, and their applications in crowdfunding; exploring the importance of smart analysis, prediction, and decision-making within the fintech industry. This book is intended to be an authoritative and valuable resource for professional practitioners and researchers alike, as well as finance engineering, and computer science students who are interested in crowdfunding and other emerging fintech topics.
This book consists of selected papers written by the founder of fuzzy set theory, Lotfi A Zadeh. Since Zadeh is not only the founder of this field, but has also been the principal contributor to its development over the last 30 years, the papers contain virtually all the major ideas in fuzzy set theory, fuzzy logic, and fuzzy systems in their historical context. Many of the ideas presented in the papers are still open to further development. The book is thus an important resource for anyone interested in the areas of fuzzy set theory, fuzzy logic, and fuzzy systems, as well as their applications. Moreover, the book is also intended to play a useful role in higher education, as a rich source of supplementary reading in relevant courses and seminars.The book contains a bibliography of all papers published by Zadeh in the period 1949-1995. It also contains an introduction that traces the development of Zadeh's ideas pertaining to fuzzy sets, fuzzy logic, and fuzzy systems via his papers. The ideas range from his 1965 seminal idea of the concept of a fuzzy set to ideas reflecting his current interest in computing with words ? a computing in which linguistic expressions are used in place of numbers.Places in the papers, where each idea is presented can easily be found by the reader via the Subject Index.
Microbes catalyze countless chemical reactions in nature which control the chemistry of the environment. Aquatic Geomicrobiology looks at these reactions and their effect on the aquatic environments from the perspective of the microbes involved. The volume begins with three introductory chapters outlining the basic principles of microbial systematics, microbial ecology, and chemical thermodynamics. These provide a framework for exploring the microbial control of elemental cycling in the remaining chapters. Readers will learn how microbes control the cycling of elements, the structure of the microbial ecosystems involved, and what environmental factors influence the activities of microbial populations. Also available in hardback Written by international experts in the microbial ecology and biogeochemistry of aquatic systems Includes introductory chapters on microbial systematics, principles of microbial ecology, and chemical thermodynamics Contains over 1500 references
This book focuses on the control and state estimation problems for dynamical network systems with complex samplings subject to various network-induced phenomena. It includes a series of control and state estimation problems tackled under the passive sampling fashion. Further, it explains the effects from the active sampling fashion, i.e., event-based sampling is examined on the control/estimation performance, and novel design technologies are proposed for controllers/estimators. Simulation results are provided for better understanding of the proposed control/filtering methods. By drawing on a variety of theories and methodologies such as Lyapunov function, linear matrix inequalities, and Kalman theory, sufficient conditions are derived for guaranteeing the existence of the desired controllers and estimators, which are parameterized according to certain matrix inequalities or recursive matrix equations. Covers recent advances of control and state estimation for dynamical network systems with complex samplings from the engineering perspective Systematically introduces the complex sampling concept, methods, and application for the control and state estimation Presents unified framework for control and state estimation problems of dynamical network systems with complex samplings Exploits a set of the latest techniques such as linear matrix inequality approach, Vandermonde matrix approach, and trace derivation approach Explains event-triggered multi-rate fusion estimator, resilient distributed sampled-data estimator with predetermined specifications This book is aimed at researchers, professionals, and graduate students in control engineering and signal processing.
This book focuses on the stability analysis of Markovian jump systems (MJSs) with various settings and discusses its applications in several different areas. It also presents general definitions of the necessary concepts and an overview of the recent developments in MJSs. Further, it addresses the general robust problem of Markovian jump linear systems (MJLSs), the asynchronous stability of a class of nonlinear systems, the robust adaptive control scheme for a class of nonlinear uncertain MJSs, the practical stability of MJSs and its applications as a modelling tool for networked control systems, Markovian-based control for wheeled mobile manipulators and the jump-linear-quadratic (JLQ) problem of a class of continuous-time MJLSs. It is a valuable resource for researchers and graduate students in the field of control theory and engineering.
This book contains extended versions of carefully selected and reviewed papers presented at the Third International Conference on Mathematical Methods in Reliability, held in Norway in 2002. It provides an overview of current research activities in reliability theory. The authors are all leading experts in the field. Readership: Graduate students, academics and professionals in probability & statistics, reliability analysis, survival analysis, industrial engineering, software engineering, operations research and applied mathematics research.
Discover an insightful new text covering advanced problems in real property valuation In Advanced Issues in Property Valuation, real estate valuation experts and authors Hans Lind and Bo Nordlund provide a deep understanding of the concepts, theories, methods and controversies in property valuation. The book introduces readers to controversies and discussions in real estate valuation, including the relevance of market value for valuation for lending purposes, how uncertainty in property valuations should be interpreted, and the relationship between market value and fair value in financial reporting. Readers will also benefit from the inclusion of: A thorough introduction to the concepts, theories, methods and problems in real estate property valuation An exploration of the relevance of market value for valuation for lending purposes A practical discussion of how uncertainty in property valuations should be interpreted A concise treatment of the relationship between market value and fair value in financial reporting An examination of how concerns about sustainability and other structural changes can affect property valuation Perfect for graduate level students in courses involving valuation or real estate, Advanced Issues in Property Valuation is also an excellent resource for real estate practitioners who wish to update and deepen their knowledge about property valuation.
This volume is a review on coherent states and some of their applications. The usefulness of the concept of coherent states is illustrated by considering specific examples from the fields of physics and mathematical physics. Particular emphasis is given to a general historical introduction, general continuous representations, generalized coherent states, classical and quantum correspondence, path integrals and canonical formalism. Applications are considered in quantum mechanics, optics, quantum chemistry, atomic physics, statistical physics, nuclear physics, particle physics and cosmology. A selection of original papers is reprinted.
Authored by researchers and practitioners who build cutting-edge federated learning applications to solve real-world problems, this book covers the spectrum of federated learning technology from concepts and application scenarios to advanced algorithms and finally system implementation in three parts. It provides a comprehensive review and summary of federated learning technology, as well as presenting numerous novel federated learning algorithms which no other books have summarized. The work also references the most recent papers, articles and reviews from the past several years to keep pace with the academic and industrial state of the art of federated learning.The first part lays a foundational understanding of federated learning by going through its definition and characteristics, and also possible application scenarios and related privacy protection technologies. The second part elaborates on some of the federated learning algorithms innovated by JD Technology which encompass both vertical and horizontal scenarios, including vertical federated tree models, linear regression, kernel learning, asynchronous methods, deep learning, homomorphic encryption, and reinforcement learning. The third and final part shifts in scope to federated learning systems — namely JD Technology's own FedLearn system — by discussing its design and implementation using gRPC, in addition to specific performance optimization techniques plus integration with blockchain technology.This book will serve as a great reference for readers who are experienced in federated learning algorithms, building privacy-preserving machine learning applications or solving real-world problems with privacy-restricted scenarios.
Implement neural search systems on the cloud by leveraging Jina design patterns Key FeaturesIdentify the different search techniques and discover applications of neural searchGain a solid understanding of vector representation and apply your knowledge in neural searchUnlock deeper levels of knowledge of Jina for neural searchBook Description Search is a big and ever-growing part of the tech ecosystem. Traditional search, however, has limitations that are hard to overcome because of the way it is designed. Neural search is a novel approach that uses the power of machine learning to retrieve information using vector embeddings as first-class citizens, opening up new possibilities of improving the results obtained through traditional search. Although neural search is a powerful tool, it is new and finetuning it can be tedious as it requires you to understand the several components on which it relies. Jina fills this gap by providing an infrastructure that reduces the time and complexity involved in creating deep learning–powered search engines. This book will enable you to learn the fundamentals of neural networks for neural search, its strengths and weaknesses, as well as how to use Jina to build a search engine. With the help of step-by-step explanations, practical examples, and self-assessment questions, you'll become well-versed with the basics of neural search and core Jina concepts, and learn to apply this knowledge to build your own search engine. By the end of this deep learning book, you'll be able to make the most of Jina's neural search design patterns to build an end-to-end search solution for any modality. What you will learnUnderstand how neural search and legacy search workGrasp the machine learning and math fundamentals needed for neural searchGet to grips with the foundation of vector representationExplore the basic components of JinaAnalyze search systems with different modalitiesUncover the capabilities of Jina with the help of practical examplesWho this book is for If you are a machine learning, deep learning, or artificial intelligence engineer interested in building a search system of any kind (text, QA, image, audio, PDF, 3D models, or others) using modern software architecture, this book is for you. This book is perfect for Python engineers who are interested in building a search system of any kind using state-of-the-art deep learning techniques.
The book focuses on the Internet of Things and Beidou system application. Both principles and engineering practice have been addressed, with more weight placed on engineering practice. This is achieved by providing in-depth studies on a number of major topics of Beidou system application with the Internet of Things. Such comprehensive and systematic analysis is particularly suited for readers who are interested to learn practical solutions in Beidou system application. The book can benefit researchers, engineers, and graduate students in the fields of positioning and navigation, geospatial engineering, telecommunications, etc.
This set reports the results of the 10th International Histocompatibility Workshop, in which 362 laboratories collaborated over a three year period in research projects on the classification of HLA genes and their products. Volume 1 describes the experimental design of the workshop studies and their results. Volume 2 is a collection of papers on the latest developments in the molecular biology of HLA systems. Immunobiology of HLA is a valuable reference for tissue typing laboratories, blood banks, and general research programs on HLA and related diseases because it identifies common sources of HLA genes and gene products to be used as reference reagents, and because it is the only complete compilation of the latest research and results in the field.
A critical challenge in deep learning is the vulnerability of deep learning networks to security attacks from intelligent cyber adversaries. Even innocuous perturbations to the training data can be used to manipulate the behaviour of deep networks in unintended ways. In this book, we review the latest developments in adversarial attack technologies in computer vision; natural language processing; and cybersecurity with regard to multidimensional, textual and image data, sequence data, and temporal data. In turn, we assess the robustness properties of deep learning networks to produce a taxonomy of adversarial examples that characterises the security of learning systems using game theoretical adversarial deep learning algorithms. The state-of-the-art in adversarial perturbation-based privacy protection mechanisms is also reviewed. We propose new adversary types for game theoretical objectives in non-stationary computational learning environments. Proper quantification of the hypothesis set in the decision problems of our research leads to various functional problems, oracular problems, sampling tasks, and optimization problems. We also address the defence mechanisms currently available for deep learning models deployed in real-world environments. The learning theories used in these defence mechanisms concern data representations, feature manipulations, misclassifications costs, sensitivity landscapes, distributional robustness, and complexity classes of the adversarial deep learning algorithms and their applications. In closing, we propose future research directions in adversarial deep learning applications for resilient learning system design and review formalized learning assumptions concerning the attack surfaces and robustness characteristics of artificial intelligence applications so as to deconstruct the contemporary adversarial deep learning designs. Given its scope, the book will be of interest to Adversarial Machine Learning practitioners and Adversarial Artificial Intelligence researchers whose work involves the design and application of Adversarial Deep Learning.
Unravel the Secrets of Your Mind: A Journey into Cognitive Biases Step into the intriguing world of cognitive biases with this comprehensive guide that promises to transform the way you perceive yourself and others. Packed with fascinating insights, this book unveils the subtle but powerful ways our minds shape our understanding of reality. In The Biased Brain, you will delve deep into the heart of human cognition and discover hundreds of cognitive biases that influence our decisions. Written by an expert in the field, this book is a powerful tool that will enable you to navigate your life with enhanced understanding and control. Nearly 500 pages packed with well-researched, engaging content that will draw you into the labyrinth of the human mind. You will explore concepts that will make you question your assumptions and provoke you to think critically about your thought processes. This book doesn't just offer theoretical knowledge; it also provides practical solutions to identify and overcome your biases. It doesn't matter whether you're a student of psychology, a curious observer of human behavior, or someone who's simply looking to better understand their own mind--this book has something for everyone. In fact, it might just be the most insightful book you will read this year. Are you ready to challenge your perceptions and unveil the biases hiding in plain sight? This book is your map to understanding the complex landscape of human cognition. So, why wait? Start your journey now and transform the way you see yourself and the world. Grab your copy of The Biased Brain today and embark on an enlightening journey into the human mind.
This book highlights the basic theories and key technologies of error compensation for industrial robots. The chapters are arranged in the order of actual applications: establishing the robot kinematic models, conducting error analysis, conducting kinematic and non-kinematic calibrations, and planning optimal sampling points. To help readers effectively apply the technologies, the book elaborates the experiments and applications in robotic drilling and milling, which further verifies the effectiveness of the technologies. This book presents the authors’ research achievements in the past decade in improving robot accuracy. It is straightforwardly applicable for technical personnel in the aviation field, and provides valuable reference for researchers and engineers in various robotic applications.
This book systematically presents energy-efficient robust fusion estimation methods to achieve thorough and comprehensive results in the context of network-based fusion estimation. It summarizes recent findings on fusion estimation with communication constraints; several novel energy-efficient and robust design methods for dealing with energy constraints and network-induced uncertainties are presented, such as delays, packet losses, and asynchronous information... All the results are presented as algorithms, which are convenient for practical applications.
An all-in-one guide to high-voltage, multi-terminal converters, this book brings together the state of the art and cutting-edge techniques in the various stages of designing and constructing a high-voltage converter. The book includes 9 chapters, and can be classified into three aspects. First, all existing high-voltage converters are introduced, including the conventional two-level converter, and the multi-level converters, such as the modular multi-level converter (MMC). Second, different kinds of multi-terminal high-voltage converters are presented in detail, including the topology, operation principle, control scheme and simulation verification. Third, some common issues of the proposed multi-terminal high-voltage converters are discussed, and different industrial applications of the proposed multi-terminal high-voltage converters are provided. Systematically proposes, for the first time, the design methodology for high-voltage converters in use of MTDC grids; also applicable to constructing novel power electronics converters, and driving the development of HVDC, which is one of the most important technology areas Presents the latest research on multi-terminal high-voltage converters and its application in MTDC transmission systems and other industrially important applications Offers an overview of existing technology and future trends of the high-voltage converter, with extensive discussion and analysis of different types of high-voltage converters and relevant control techniques (including DC-AC, AC-DC, DC-DC, and AC-AC converters) Provides readers with sufficient context to delve into the more specialized topics covered in the book Featuring a series of novel multi-terminal high-voltage converters proposed and patented by the authors, Multi-terminal High Voltage Converters is written for researchers, engineers, and advanced students specializing in power electronics, power system engineering and electrical engineering.
It was the year 1858 and three young “run-aways” Jason Brandt, son of a Hong Kong missionary, his friend Wu Sek-chong and the beautiful and defiant Black Jade set off to find the capital of the rebel Taiping Tienkuo, The Heavenly Kingdom of Great Peace. Established in 1851 by a failed civil service candidate who claimed to be the little brother of Christ, the semi-Christian Taiping Kingdom, had made a dramatic and bloody bid to overthrow the Confucian rule of the Ch’ing Dynasty. The three young people’s search for the Heavenly Kingdom and what they eventually found among the Taipings is the central plot of this historical novel of journey and self-discovery in 19th century China.
The localization technique from convex geometry is generalized to the setting of Riemannian manifolds whose Ricci curvature is bounded from below. In a nutshell, the author's method is based on the following observation: When the Ricci curvature is non-negative, log-concave measures are obtained when conditioning the Riemannian volume measure with respect to a geodesic foliation that is orthogonal to the level sets of a Lipschitz function. The Monge mass transfer problem plays an important role in the author's analysis.
This book presents some of the emerging techniques and technologies used to handle Web data management. Authors present novel software architectures and emerging technologies and then validate using experimental data and real world applications. The contents of this book are focused on four popular thematic categories of intelligent Web data management: cloud computing, social networking, monitoring and literature management. The Volume will be a valuable reference to researchers, students and practitioners in the field of Web data management, cloud computing, social networks using advanced intelligence tools.
Steel-concrete composite structures, including concrete-filled steel tubular (CFST) structures and concrete-filled double skin steel tubular (CFDST) structures, have seen a significant increase in use in the modern construction industry due to their superior structural performance compared to conventional steel bare sections and reinforced concrete (RC) structures. Single Skin and Double Skin Concrete Filled Tubular Structures presents state-of-the-art in CFST and CFDST structures and their performance under various static loading conditions. The book establishes a foundation for understanding the structural performance of composite structures by discussing the behavior of CFST and CFDST structures based on experimental and finite element (FE) investigations. Besides, numerical and analytical methods for investigating the behavior of CFST and CFDST structures are presented in detail. The title offers many design examples following international design codes, including North American design guidelines ANSI-AISC 360, European design regulations Eurocode 4, and Australian design code AS 5100. The title can be used for the practical use of civil engineers and as a resource for further research. - Provides up-to-date advances on single-skin and double-skin constructions - Explains and illustrates the structural performance of columns, beams, and beam-columns - Discusses failure mechanism and gives detailed photographic references - Presents analytical and numerical investigations for the behavior of single-skin and double-skin constructions - Offers design examples following North American, European, and Australian codes
The Institute for Mathematical Sciences at the National University of Singapore hosted a research program on “Representation Theory of Lie Groups” from July 2002 to January 2003. As part of the program, tutorials for graduate students and junior researchers were given by leading experts in the field.This invaluable volume collects the expanded lecture notes of those tutorials. The topics covered include uncertainty principles for locally compact abelian groups, fundamentals of representations of p-adic groups, the Harish-Chandra-Howe local character expansion, classification of the square-integrable representations modulo cuspidal data, Dirac cohomology and Vogan's conjecture, multiplicity-free actions and Schur-Weyl-Howe duality.The lecturers include Tomasz Przebinda from the University of Oklahoma, USA; Gordan Savin from the University of Utah, USA; Stephen DeBacker from Harvard University, USA; Marko Tadić from the University of Zagreb, Croatia; Jing-Song Huang from The Hong Kong University of Science and Technology, Hong Kong; Pavle Pandǽić from the University of Zagreb, Croatia; Chal Benson and Gail Ratcliff from East Carolina University, USA; and Roe Goodman from Rutgers University, USA.
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.