Autonomous Learning Systems is the result of over a decade of focused research and studies in this emerging area which spans a number of well-known and well-established disciplines that include machine learning, system identification, data mining, fuzzy logic, neural networks, neuro-fuzzy systems, control theory and pattern recognition. The evolution of these systems has been both industry-driven with an increasing demand from sectors such as defence and security, aerospace and advanced process industries, bio-medicine and intelligent transportation, as well as research-driven – there is a strong trend of innovation of all of the above well-established research disciplines that is linked to their on-line and real-time application; their adaptability and flexibility. Providing an introduction to the key technologies, detailed technical explanations of the methodology, and an illustration of the practical relevance of the approach with a wide range of applications, this book addresses the challenges of autonomous learning systems with a systematic approach that lays the foundations for a fast growing area of research that will underpin a range of technological applications vital to both industry and society. Key features: Presents the subject systematically from explaining the fundamentals to illustrating the proposed approach with numerous applications. Covers a wide range of applications in fields including unmanned vehicles/robotics, oil refineries, chemical industry, evolving user behaviour and activity recognition. Reviews traditional fields including clustering, classification, control, fault detection and anomaly detection, filtering and estimation through the prism of evolving and autonomously learning mechanisms. Accompanied by a website hosting additional material, including the software toolbox and lecture notes. Autonomous Learning Systems provides a ‘one-stop shop’ on the subject for academics, students, researchers and practicing engineers. It is also a valuable reference for Government agencies and software developers.
Tested and proven strategy to develop optimal automated process fault analyzers Process fault analyzers monitor process operations in order to identify the underlying causes of operational problems. Several diagnostic strategies exist for automating process fault analysis; however, automated fault analysis is still not widely used within the processing industries due to problems of cost and performance as well as the difficulty of modeling process behavior at needed levels of detail. In response, this book presents the method of minimal evidence (MOME), a model-based diagnostic strategy that facilitates the development and implementation of optimal automated process fault analyzers. MOME was created at the University of Delaware by the researchers who developed the FALCON system, a real-time, online process fault analyzer. The authors demonstrate how MOME is used to diagnose single and multiple fault situations, determine the strategic placement of process sensors, and distribute fault analyzers within large processing systems. Optimal Automated Process Fault Analysis begins by exploring the need to automate process fault analysis. Next, the book examines: Logic of model-based reasoning as used in MOME MOME logic for performing single and multiple fault diagnoses Fuzzy logic algorithms for automating MOME Distributing process fault analyzers throughout large processing systems Virtual SPC analysis and its use in FALCONEER IV Process state transition logic and its use in FALCONEER IV The book concludes with a summary of the lessons learned by employing FALCONEER IV in actual process applications, including the benefits of «intelligent supervision» of process operations. With this book as their guide, readers have a powerful new tool for ensuring the safety and reliability of any chemical processing system.
Since last few decades, the wide use of advanced technologies made massive growth in the availability of data from different resources, which lead to the challenge of extracting useful knowledge for specific applications. Classification is one of the most important tasks in mining knowledge from such resources. Though a wide number of traditional techniques are available for classification, but finding a high performance robust classification method, applicable to different real world problem is difficult. This book provides a set of techniques for classification which has been applied to problems from multiple disciplines such as life science, physical science, social science, business, and games. Design of a wide range of classifiers using Polynomial Neural Network and its hybridization with Particle Swam Optimization, Fuzzy logic, Artificial Neural Network has been presented in this book with their scope and limitations. The algorithms and models presented for the large range of classifiers will certainly help the readers in using it conveniently for their application areas.
Elementary Logic with Applications is written for undergraduate logic and logic programming courses. Logic has been applied to a wide variety of subjects such as software engineering and hardware design, to programming and artificial intelligence. In this way, it has served to stimulate the search for clear conceptual foundations. Recently many extensions of classical logic such as temporal, modal, relevance, fuzzy and non-monotonic logics have been widely used in computer science, therefore requiring a new formulation of classic logic which can be modified to yield the effect of non-classical logics. This text aims to introduce classical logic in such a way that one can easily deviate into discussing non-classical logics. It defines a number of different types of logics and the differences between them, starting with the basic notions of the most common logic. Elementary Logic with Applications develops a theorem prover for classical logic in a way that maintains a procedural point of view and presents the reader with the real challenges facing applied logic. Dov Gabbay and Odinaldo Rodrigues have been teaching logic and computer science for many years. Dov Gabbay has written numerous other titles on the subject of logic and is a world authority on non-classical logics. Odinaldo Rodrigues is widely known for his work on logic, belief revision and argumentation. The “Elementary Logic with Applications” course is currently taught at the Department of Informatics, King's Co...
This book mainly show how image pros sing are implemented. How we used fuzzy filter in piratical life and emotion detection in also piratical life . This book help people to use the logic in piratical life then life is more easy. Fast we dis cause I discuss about the thinking of this type of the project. One day I crossed a road. In that time a blind person was crossing the road with the help of the stick. Though the road signal was green but couldn't recognize this and went ahead step by step.secondly we In this world and also surroundings you many types or many character people are present.present. Every person are not good and as well as not bad.By those people ,some people works to physically or mentally harassment to the other people like if teaching,rape etc. This is too bad condition in our places.Try to stop and advanced alert this type of condition we are creating this types of watches and jacket. and thirdly we dis cause the noise removal by fuzzy filter and at last video to still picture convert . dis cause it in this book.
Fuzzy Control techniques have become widespread over the last few decades in the scientific community, supported by a large number of practical applications. In particular, several studies concern the control of nonlinear systems using the Takagi-Sugeno models by using the concept of Parallel Distributed Compensation to design fuzzy regulators. Thus, this book concentrates on developing systematic procedures to design controllers for nonlinear systems which ensure closed-loop control specifications (mainly stability), with a view to their application to real systems. In the proposed procedures, the core is an LMI-based design approach. Thus, all stability analysis and controller design problems are conducted in such a way that they can be reduced to convex optimization problems, represented under Linear Matrix Inequality form.
Este livro é voltado para acadêmicos e gestores interessados no uso de métodos de tomada de decisão multicritério no apoio a processos de tomada de decisão organizacionais. É resultante de uma dissertação de mestrado realizada no Programa de Pós-graduação em Engenharia de Produção da Escola de Engenharia de São Carlos da Universidade de São Paulo (EESC-USP). A comparação apresentada entre os métodos Fuzzy TOPSIS e Fuzzy AHP é especialmente útil para ajudar os leitores a aplicar estes métodos e a escolher qual é o mais adequado em determinadas situações de uso.
This book provides a novel method based on advantages of mobility model of Low Earth Orbit Mobile Satellite System LEO MSS which allows the evaluation of instant of subsequent handover of a MS even if its location is unknown. This method is then utilized to propose two prioritized handover schemes, Pseudo Last Useful Instant PLUI strategy and Dynamic Channel Reservation DCR-like scheme based respectively on LUI and DCR schemes, previously proposed in literature. The authors also approach a different aspect of handover problem: calls with short durations dropped due to a handover failure. We propose a decision system based on fuzzy logic Rescuing System that allows the rescue of calls with short durations facing a premature at the expense of those lasting for long durations.