{"title":"The International Series On Asian Studies In Computer And Information Science","description":null,"products":[{"product_id":"domain-modeling-based-software-engineering-book-ruqian-lu-9780792378891","title":"Domain Modeling-Based Software Engineering","description":"Many approaches have been proposed to enhance software  productivity and reliability. These approaches typically fall into  three categories: the engineering approach, the formal approach, and  the knowledge-based approach. The optimal gain in software  productivity cannot be obtained if one relies on only one of these  approaches. Thus, the integration of different approaches has also  become a major area of research.    No approach can be said to be perfect if it fails to satisfy the  following two criteria. Firstly, a good approach should support the  full life cycle of software development. Secondly, a good approach  should support the development of large-scale software for real use in  many application domains. Such an approach can be referred to as a  five-in-one approach.    The authors of this book have, for the past eight years, conducted  research in knowledge-based software engineering, of which the final  goal is to develop a paradigm for software engineering which not only  integrates the three approaches mentioned above, but also fulfils the  two criteria on which the five-in-one approach is based. Domain  Modeling- Based Software Engineering: A Formal Approach explores  the results of this research.    Domain Modeling-Based Software Engineering: A Formal Approach  will be useful to researchers of knowledge-based software engineering,  students and instructors of computer science, and software engineers  who are working on large-scale projects of software development and  want to use knowledge-based development methods in their work.","brand":"WoB","offers":[{"title":"US \/ WELL_READ \/ SBYB","offer_id":50114346746129,"sku":"CIN079237889XA","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52337737761041,"sku":"NLS9780792378891","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/079237889X.jpg?v=1750746018"},{"product_id":"intelligent-building-systems-book-albert-ting-pat-so-9781461372806","title":"Intelligent Building Systems","description":"The most  important aspect of an intelligent building is the building systems,  such as electrical services, heating, ventilation and air-conditioning  systems, vertical transportation systems, and life safety systems,  which must operate intelligently and efficiently to enhance the  activities of the occupants.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52089083494673,"sku":"NLS9781461372806","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9781461372806.jpg?v=1756905671"},{"product_id":"stable-adaptive-neural-network-control-book-ss-ge-9780792375975","title":"Stable Adaptive Neural Network Control","description":"Recent years have seen a rapid development of neural network control tech­ niques and their successful applications. Numerous simulation studies and actual industrial implementations show that artificial neural network is a good candidate for function approximation and control system design in solving the control problems of complex nonlinear systems in the presence of different kinds of uncertainties. Many control approaches\/methods, reporting inventions and control applications within the fields of adaptive control, neural control and fuzzy systems, have been published in various books, journals and conference proceedings. In spite of these remarkable advances in neural control field, due to the complexity of nonlinear systems, the present research on adaptive neural control is still focused on the development of fundamental methodologies. From a theoretical viewpoint, there is, in general, lack of a firmly mathematical basis in stability, robustness, and performance analysis of neural network adaptive control systems. This book is motivated by the need for systematic design approaches for stable adaptive control using approximation-based techniques. The main objec­ tives of the book are to develop stable adaptive neural control strategies, and to perform transient performance analysis of the resulted neural control systems analytically. Other linear-in-the-parameter function approximators can replace the linear-in-the-parameter neural networks in the controllers presented in the book without any difficulty, which include polynomials, splines, fuzzy systems, wavelet networks, among others. 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The first part of the volume consists of invited papers  by international authors describing possibilistic logic in decision  analysis, fuzzy dynamic programming in optimization, linguistic  modifiers for word computation, and theoretical treatments and  applications of fuzzy reasoning. The second part is composed of eleven  contributions from Chinese authors focusing on some of the key issues  in the fields: stable adaptive fuzzy control systems, partial  evaluations and fuzzy reasoning, fuzzy wavelet neural networks,  analysis and applications of genetic algorithms, partial  repeatability, rough set reduction for data enriching, limits of  agents in process calculus, medium logic and its evolution, and factor  spaces canes.    These contributions are not only theoretically sound and  well-formulated, but are also coupled with applicability implications  and\/or implementation treatments. 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A Lyapunov synthesis approach is used to  derive the tuning rules for the RBF controller parameters in order to  guarantee the stability of the closed loop system. Unlike previous  methods that tune only the weights of the RBF network, this book  presents the derivation of the tuning law for tuning the centers,  widths, and weights of the RBF network, and compares the results with  existing algorithms. It also includes a detailed review of system  identification, including indirect and direct adaptive control of  nonlinear systems using neural networks.    Fully Tuned Radial Basis Function Neural Networks for Flight  Control is an excellent resource for professionals using neural  adaptive controllers for flight control applications.","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":52334190657809,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52334191575313,"sku":"NLS9780792375180","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9780792375180.jpg?v=1758156132"},{"product_id":"robust-model-based-fault-diagnosis-for-dynamic-systems-book-jie-chen-9781461373445","title":"Robust Model-Based Fault Diagnosis for Dynamic Systems","description":"There is an increasing demand for dynamic systems to become more safe and reliable. 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The book presents a comprehensive overview of the state of the art,  providing detailed case studies that emphasize how image and pattern  (IAP) data are distributed and exchanged on sequential and parallel  machines, and how the data communication patterns in low- and  higher-level IAP computing differ from general numerical computation,  what problems they cause and what opportunities they provide. The  studies also describe how the images and matrices should be stored,  accessed and distributed on different types of machines connected to  the Internet, and how Internet resource sharing and data transmission  change traditional IAP computing.    Data Management and Internet Computing for Image\/Pattern  Analysis is divided into three parts: the first part describes  several software approaches to IAP computing, citing several  representative data communication patterns and related algorithms; the  second part introduces hardware and Internet resource sharing in which  a wide range of computer architectures are described and memory  management issues are discussed; and the third part presents  applications ranging from image coding, restoration and progressive  transmission.    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Chapter 5 analyzes  the difficulties in performance prediction, discusses  application-oriented and architecture-oriented performance prediction  and how to predict speedup and scalability in practice. Chapter 6  discusses performance visualization techniques and tools for parallel  systems from three stages: performance data collection, performance  data filtering and performance data visualization, and classifies the  existing performance visualization tools. Chapter 7 describes parallel  compiling-based, search-based and knowledge-based performance  debugging, which assists programmers to optimize the strategy or  algorithm in their parallel programs, and presents visual  programming-based performance debugging to help programmers identify  the location and cause of the performanceproblem. It also provides  concrete suggestions on how to modify their parallel program to  improve the performance. 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Domain  Modeling- Based Software Engineering: A Formal Approach explores  the results of this research.    Domain Modeling-Based Software Engineering: A Formal Approach  will be useful to researchers of knowledge-based software engineering,  students and instructors of computer science, and software engineers  who are working on large-scale projects of software development and  want to use knowledge-based development methods in their work.","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":52427869094161,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52427869913361,"sku":"NLS9781461370222","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9781461370222.jpg?v=1759162350"},{"product_id":"data-management-and-internet-computing-for-image-pattern-analysis-book-david-d-zhang-9780792374565","title":"Data Management and Internet Computing for Image\/Pattern Analysis","description":"Data Management and Internet Computing for Image\/Pattern  Analysis focuses on the data management issues and Internet  computing aspect of image processing and pattern recognition research.  The book presents a comprehensive overview of the state of the art,  providing detailed case studies that emphasize how image and pattern  (IAP) data are distributed and exchanged on sequential and parallel  machines, and how the data communication patterns in low- and  higher-level IAP computing differ from general numerical computation,  what problems they cause and what opportunities they provide. The  studies also describe how the images and matrices should be stored,  accessed and distributed on different types of machines connected to  the Internet, and how Internet resource sharing and data transmission  change traditional IAP computing.    Data Management and Internet Computing for Image\/Pattern  Analysis is divided into three parts: the first part describes  several software approaches to IAP computing, citing several  representative data communication patterns and related algorithms; the  second part introduces hardware and Internet resource sharing in which  a wide range of computer architectures are described and memory  management issues are discussed; and the third part presents  applications ranging from image coding, restoration and progressive  transmission.    Data Management and Internet Computing for Image\/Pattern  Analysis is an excellent reference for researchers and may be used  as a text for advanced courses in image processing and pattern  recognition.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52476661891345,"sku":"NLS9780792374565","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9780792374565.jpg?v=1759844409"},{"product_id":"nonlinear-control-systems-and-power-system-dynamics-book-qiang-lu-9781441948854","title":"Nonlinear Control Systems and Power System Dynamics","description":"Nonlinear Control Systems and Power System Dynamics  presents a comprehensive description of nonlinear control of electric  power systems using nonlinear control theory, which is developed by  the differential geometric approach and nonlinear robust control  method. This book explains in detail the concepts, theorems and  algorithms in nonlinear control theory, illustrated by step-by-step  examples. In addition, all the mathematical formulation involved in  deriving the nonlinear control laws of power systems are sufficiently  presented. Considerations and cautions involved in applying nonlinear  control theory to practical engineering control designs are discussed  and special attention is given to the implementation of nonlinear  control laws using microprocessors.    Nonlinear Control Systems and Power System Dynamics serves as a  text for advanced level courses and is an excellent reference for  engineers and researchers who are interested in the application of  modern nonlinear control theory to practical engineering control  designs.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52476810625297,"sku":"NLS9781441948854","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9781441948854.jpg?v=1759844641"},{"product_id":"fully-tuned-radial-basis-function-neural-networks-for-flight-control-book-n-sundararajan-9781441949158","title":"Fully Tuned Radial Basis Function Neural Networks for Flight Control","description":"Fully Tuned Radial Basis Function Neural Networks for Flight  Control presents the use of the Radial Basis Function (RBF) neural  networks for adaptive control of nonlinear systems with emphasis on  flight control applications. A Lyapunov synthesis approach is used to  derive the tuning rules for the RBF controller parameters in order to  guarantee the stability of the closed loop system. Unlike previous  methods that tune only the weights of the RBF network, this book  presents the derivation of the tuning law for tuning the centers,  widths, and weights of the RBF network, and compares the results with  existing algorithms. It also includes a detailed review of system  identification, including indirect and direct adaptive control of  nonlinear systems using neural networks.    Fully Tuned Radial Basis Function Neural Networks for Flight  Control is an excellent resource for professionals using neural  adaptive controllers for flight control applications.","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":52480655196433,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52480656376081,"sku":"NLS9781441949158","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9781441949158.jpg?v=1759850553"},{"product_id":"stable-adaptive-neural-network-control-book-ss-ge-9781441949325","title":"Stable Adaptive Neural Network Control","description":"Recent years have seen a rapid development of neural network control tech­ niques and their successful applications. Numerous simulation studies and actual industrial implementations show that artificial neural network is a good candidate for function approximation and control system design in solving the control problems of complex nonlinear systems in the presence of different kinds of uncertainties. Many control approaches\/methods, reporting inventions and control applications within the fields of adaptive control, neural control and fuzzy systems, have been published in various books, journals and conference proceedings. In spite of these remarkable advances in neural control field, due to the complexity of nonlinear systems, the present research on adaptive neural control is still focused on the development of fundamental methodologies. From a theoretical viewpoint, there is, in general, lack of a firmly mathematical basis in stability, robustness, and performance analysis of neural network adaptive control systems. This book is motivated by the need for systematic design approaches for stable adaptive control using approximation-based techniques. The main objec­ tives of the book are to develop stable adaptive neural control strategies, and to perform transient performance analysis of the resulted neural control systems analytically. Other linear-in-the-parameter function approximators can replace the linear-in-the-parameter neural networks in the controllers presented in the book without any difficulty, which include polynomials, splines, fuzzy systems, wavelet networks, among others. Stability is one of the most important issues being concerned if an adaptive neural network controller is to be used in practical applications.","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":52480954695953,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52480955875601,"sku":"NLS9781441949325","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9781441949325.jpg?v=1759851004"},{"product_id":"common-waveform-analysis-book-yuchuan-wei-9781461370529","title":"Common Waveform Analysis","description":"Common Waveform Analysis, which will be of interest to  both electrical engineers and mathematicians, applies the classic  Fourier analysis to common waveforms. The following questions are  answered:    Can a signal be considered a  superposition of common waveforms with different frequencies?    How can a signal be decomposed into a series of common waveforms?    How can a signal best be approximated using finite common  waveforms?   How can a combination of common waveforms that  equals a given signal at N uniform points be found?   Can  common waveforms be used in techniques that have traditionally been  based on sine-cosine functions?       Common Waveform  Analysis represents the most advanced research available to  research scientists and scholars working in fields related to the  area.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52661765112081,"sku":"NLS9781461370529","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9781461370529.jpg?v=1762267974"}],"url":"https:\/\/www.worldofbooks.com\/collections\/the-international-series-on-asian-studies-in-computer-and-information-science-book-series.oembed","provider":"World of Books ","version":"1.0","type":"link"}