Documents disponibles chez cet éditeur

Introduction to Computer Graphics / Frank Klawonn

Public ISBD Titre : Introduction to Computer Graphics : Using Java 2D and 3D Type de document : texte imprimé Auteurs : Frank Klawonn, Auteur Editeur : London : Springer-Verlag Année de publication : 2008 Collection : Undergraduate Topics in Computer Science Importance : 283 p. Présentation : couv. ill. en coul. Format : 24 cm. ISBN/ISSN/EAN : 978-1-84628-847-0 Langues : Anglais (eng) Catégories : INFORMATIQUE Index. décimale : 08-02 Logiciels et programmation Résumé : This book provides an introduction to the most important basic concepts of computer graphics. It couples the technical background and theory immediately with practical examples and applications. The reader can follow up the theory and then literally see the theory at work in numerous example programs. With only elementary knowledge of the programming language Java, the reader will be able to create his or her own images and animations immediately using Java 2D and Java 3D. A website for this book includes programs with source code, exercises with solutions and slides as teaching material. Note de contenu : Contents 1-Introduction 2-Basic Principles of Two-Dimensional Graphics 3-Drawing Lines and Curves 4-Areas, Text and Colours 5-Basic Principles of Three-Dimensional Graphics 6-Modelling Three-Dimensional Objects 7-Visible Surface Determination 8-Illumination and Shading 9-Special Effects and Virtual Reality -Appendix -Index Introduction to Computer Graphics : Using Java 2D and 3D [texte imprimé] / Frank Klawonn, Auteur . - London : Springer-Verlag, 2008 . - 283 p. : couv. ill. en coul. ; 24 cm.. - (Undergraduate Topics in Computer Science) . ISBN : 978-1-84628-847-0 Langues : Anglais (eng) Catégories : INFORMATIQUE Index. décimale : 08-02 Logiciels et programmation Résumé : This book provides an introduction to the most important basic concepts of computer graphics. It couples the technical background and theory immediately with practical examples and applications. The reader can follow up the theory and then literally see the theory at work in numerous example programs. With only elementary knowledge of the programming language Java, the reader will be able to create his or her own images and animations immediately using Java 2D and Java 3D. A website for this book includes programs with source code, exercises with solutions and slides as teaching material. Note de contenu : Contents 1-Introduction 2-Basic Principles of Two-Dimensional Graphics 3-Drawing Lines and Curves 4-Areas, Text and Colours 5-Basic Principles of Three-Dimensional Graphics 6-Modelling Three-Dimensional Objects 7-Visible Surface Determination 8-Illumination and Shading 9-Special Effects and Virtual Reality -Appendix -Index

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1623	08-02-33	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	1623

Control of Fuel Cell Power Systems / Jay T. Pukrushpan

Public ISBD Titre : Control of Fuel Cell Power Systems : principles, modeling, analysis and feedback design Type de document : texte imprimé Auteurs : Jay T. Pukrushpan, Auteur ; Anna G. Stefanopoulou, Auteur ; Huei Peng, Auteur Editeur : London : Springer-Verlag Année de publication : 2005 Collection : Advances in Industrial Control Importance : 161 p. Présentation : couv. ill. en coul., ill. Format : 24,1 cm. ISBN/ISSN/EAN : 978-1-85233-816-9 Langues : Anglais (eng) Catégories : LES ÉNERGIES Index. décimale : 21-03 Le pétrole Résumé : The problem of greenhouse gas (particularly carbon dioxide) release during power generation in fixed and mobile systems is widely acknowledged. Fuel cells are electrochemical devices offering clean and efficient energy production by the direct conversion of gaseous fuel into electricity. As such, they are under active study for commercial stationary power generation, residential applications and in transportation. The control of fuel cell systems under a variety of environmental conditions and over a wide operating range is a crucial factor in making them viable for extensive use in every-day technology. - An overview of the underlying physical principles and the main control objectives and difficulties associated with the implementation of fuel cell systems. - System-level dynamic models derived from the physical principles of the processes involved - Formulation, in-depth analysis and detailed control design for two critical control problems, namely, the control of the cathode oxygen supply for a high-pressure direct hydrogen fuel cell system and control of the anode hydrogen supply from a natural gas fuel processor system. - Multivariable controllers that attenuate restraints resulting from lack of sensor fidelity or actuator authority. - Real-time observers for stack variables that confer redundancy in fault detection processes. - Examples of the assistance of control analysis in fuel cell redesign and performance improvement. - Downloadable SIMULINK(R) model of a fuel cell for immediate use supplemented by sample MATLAB(R) files with which to run it and reproduce some of the book plots Primarily intended for researchers and students with a control background looking to expand their knowledge of fuel cell technology, Control of Fuel Cell Power Systems will also appeal to practicing fuel cell engineers through the simplicity of its models and the application of control algorithms in concrete case studies. The thorough coverage of control design will be of benefit to scientists dealing with the electrochemical, materials and fluid-dynamic aspects of fuel cells. Note de contenu : Table of Contents 1 Background and Introduction. - 2 Fuel Cell System Model: Auxiliary Components. - 3 Fuel Cell System Model: Fuel Cell Stack. - 4 Fuel Cell System Model: Analysis and Simulation. - 5 Air Flow Control for Fuel Cell Cathode Oxygen Reactant. - 6 Natural Gas Fuel Processor System Model. - 7 Control of Natural Gas Fuel Processor. - 8 Closing Remarks. - A Miscellaneous Equations, Tables, and Figures. - A.1 FCS Air Flow Control Design. - A.2 FPS Control Design. - References. Control of Fuel Cell Power Systems : principles, modeling, analysis and feedback design [texte imprimé] / Jay T. Pukrushpan, Auteur ; Anna G. Stefanopoulou, Auteur ; Huei Peng, Auteur . - London : Springer-Verlag, 2005 . - 161 p. : couv. ill. en coul., ill. ; 24,1 cm.. - (Advances in Industrial Control) . ISBN : 978-1-85233-816-9 Langues : Anglais (eng) Catégories : LES ÉNERGIES Index. décimale : 21-03 Le pétrole Résumé : The problem of greenhouse gas (particularly carbon dioxide) release during power generation in fixed and mobile systems is widely acknowledged. Fuel cells are electrochemical devices offering clean and efficient energy production by the direct conversion of gaseous fuel into electricity. As such, they are under active study for commercial stationary power generation, residential applications and in transportation. The control of fuel cell systems under a variety of environmental conditions and over a wide operating range is a crucial factor in making them viable for extensive use in every-day technology. - An overview of the underlying physical principles and the main control objectives and difficulties associated with the implementation of fuel cell systems. - System-level dynamic models derived from the physical principles of the processes involved - Formulation, in-depth analysis and detailed control design for two critical control problems, namely, the control of the cathode oxygen supply for a high-pressure direct hydrogen fuel cell system and control of the anode hydrogen supply from a natural gas fuel processor system. - Multivariable controllers that attenuate restraints resulting from lack of sensor fidelity or actuator authority. - Real-time observers for stack variables that confer redundancy in fault detection processes. - Examples of the assistance of control analysis in fuel cell redesign and performance improvement. - Downloadable SIMULINK(R) model of a fuel cell for immediate use supplemented by sample MATLAB(R) files with which to run it and reproduce some of the book plots Primarily intended for researchers and students with a control background looking to expand their knowledge of fuel cell technology, Control of Fuel Cell Power Systems will also appeal to practicing fuel cell engineers through the simplicity of its models and the application of control algorithms in concrete case studies. The thorough coverage of control design will be of benefit to scientists dealing with the electrochemical, materials and fluid-dynamic aspects of fuel cells. Note de contenu : Table of Contents 1 Background and Introduction. - 2 Fuel Cell System Model: Auxiliary Components. - 3 Fuel Cell System Model: Fuel Cell Stack. - 4 Fuel Cell System Model: Analysis and Simulation. - 5 Air Flow Control for Fuel Cell Cathode Oxygen Reactant. - 6 Natural Gas Fuel Processor System Model. - 7 Control of Natural Gas Fuel Processor. - 8 Closing Remarks. - A Miscellaneous Equations, Tables, and Figures. - A.1 FCS Air Flow Control Design. - A.2 FPS Control Design. - References.

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Handbook of Data Compression / David Salomon

Public ISBD Titre : Handbook of Data Compression Type de document : texte imprimé Auteurs : David Salomon, Auteur ; Giovanni Motta, Auteur Mention d'édition : 5 th. ed. Editeur : London : Springer-Verlag Année de publication : 2010 Importance : 1359 p. Présentation : couv. ill.,ill. Format : 26,6 cm. ISBN/ISSN/EAN : 978-1-84882-902-2 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-01 Logique combinatoire et séquentielle Résumé : Data compression is such an important tool in modern computing that some researchers even suggest that all computing is compression! This comprehensive fifth edition of David Salomon s highly successful reference, Data Compression, now fully reconceived under its new title, Handbook of Data Compression, is thoroughly updated with the latest progress in the field. This all-inclusive and user-friendly reference work discusses the wide range of compression methods for text, graphical data (still images and movies), and audio. Among the important features of this accessible reference are a detailed index and helpful glossary, an extensive bibliography, an appendix presenting and explaining the basic concepts and terms in information theory, liberal use of illustrations and data tables, and broad coverage discussing the use and comparative benefits of different methods. The book s logical, clear and lively presentation is organized around the main branches of data compression, for ease in usage. This meticulously enhanced, reliable handbook is an essential companion for all computer scientists; computer, electrical and signal/image processing engineers; and scientists needing a comprehensive compilation of compression methods. It requires only a minimum of mathematics and is well-suited to nonspecialists and general readers who need to know and use this valuable content. Note de contenu : Contents Introduction 1 Basic Techniques 2 Basic VL Codes 3 Advanced VL Codes 4 Robust VL Codes 5 Statistical Methods 6 Dictionary Methods 7 Image Compression 8 Wavelet Methods 9 Video Compression 10 Audio Compression 11 Other Methods Appendix A Information Theory Answers to Exercises Bibliography Index Handbook of Data Compression [texte imprimé] / David Salomon, Auteur ; Giovanni Motta, Auteur  . -  5 th. ed. . - London : Springer-Verlag, 2010 . - 1359 p. : couv. ill.,ill. ; 26,6 cm. ISBN : 978-1-84882-902-2 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-01 Logique combinatoire et séquentielle Résumé : Data compression is such an important tool in modern computing that some researchers even suggest that all computing is compression! This comprehensive fifth edition of David Salomon s highly successful reference, Data Compression, now fully reconceived under its new title, Handbook of Data Compression, is thoroughly updated with the latest progress in the field. This all-inclusive and user-friendly reference work discusses the wide range of compression methods for text, graphical data (still images and movies), and audio. Among the important features of this accessible reference are a detailed index and helpful glossary, an extensive bibliography, an appendix presenting and explaining the basic concepts and terms in information theory, liberal use of illustrations and data tables, and broad coverage discussing the use and comparative benefits of different methods. The book s logical, clear and lively presentation is organized around the main branches of data compression, for ease in usage. This meticulously enhanced, reliable handbook is an essential companion for all computer scientists; computer, electrical and signal/image processing engineers; and scientists needing a comprehensive compilation of compression methods. It requires only a minimum of mathematics and is well-suited to nonspecialists and general readers who need to know and use this valuable content. Note de contenu : Contents Introduction 1 Basic Techniques 2 Basic VL Codes 3 Advanced VL Codes 4 Robust VL Codes 5 Statistical Methods 6 Dictionary Methods 7 Image Compression 8 Wavelet Methods 9 Video Compression 10 Audio Compression 11 Other Methods Appendix A Information Theory Answers to Exercises Bibliography Index

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2640	25-01-22	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	2640
2641	25-01-22	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	2641

Eye Tracking Methodology / Andrew T. Duchowski

Public ISBD Titre : Eye Tracking Methodology : theory and practice Type de document : texte imprimé Auteurs : Andrew T. Duchowski, Auteur Editeur : London : Springer-Verlag Année de publication : 2003 Importance : 251 p. Présentation : couv. ill. en coul., ill. Format : 23.4 cm ISBN/ISSN/EAN : 978-1-85233-666-0 Langues : Français (fre) Catégories : AUTOMATISME Index. décimale : 25-02 Théorie et traitement du signal Résumé : Despite the availability of cheap, fast, accurate and usable eye trackers, there is little information available on how to develop, implement and use these systems. This book aims to fill that gap in the market by providing an accessible introduction for practitioners and students. The first part of the book covers useful background information, including an introduction to the human visual system and key issues in visual perception and eye movement. The second part surveys eye-tracking devices and gives a detailed introduction to the technical requirements for installing a system and developing an application program. It focuses on video-based, corneal-reflection eye trackers - the most widely available and affordable type of system. The final part looks at a number of interesting and challenging applications in areas such as Human Factors, Collaborative Systems, Virtual Reality, Marketing and Advertising. Eye Tracking Methodology: Theory and Practice will be an invaluable guide for practitioners responsible for developing or implementing an eye tracking system. It will also be an invaluable teaching text for relevant modules on advanced undergraduate and postgraduate courses such as Computer Vision, Cognition, HCI and Usability. Note de contenu : Contents Part I. Introduction to the Human Visual System (HVS) Visual Attention Neurological Substrate of the HVS Visual Psychophysics Taxonomy and Models of Eye Movements Part II. Eye Tracking Systems Eye Tracking Techniques System Hardware Installation System Software Development System Calibration Eye Movement Analysis Part III. Eye Tracking Applications Diversity and Types of Eye Tracking Applications Neuroscience and Psychology Industrial Engineering and Human Factors Marketing/Advertising Computer Science Conclusion -Index Eye Tracking Methodology : theory and practice [texte imprimé] / Andrew T. Duchowski, Auteur . - London : Springer-Verlag, 2003 . - 251 p. : couv. ill. en coul., ill. ; 23.4 cm. ISBN : 978-1-85233-666-0 Langues : Français (fre) Catégories : AUTOMATISME Index. décimale : 25-02 Théorie et traitement du signal Résumé : Despite the availability of cheap, fast, accurate and usable eye trackers, there is little information available on how to develop, implement and use these systems. This book aims to fill that gap in the market by providing an accessible introduction for practitioners and students. The first part of the book covers useful background information, including an introduction to the human visual system and key issues in visual perception and eye movement. The second part surveys eye-tracking devices and gives a detailed introduction to the technical requirements for installing a system and developing an application program. It focuses on video-based, corneal-reflection eye trackers - the most widely available and affordable type of system. The final part looks at a number of interesting and challenging applications in areas such as Human Factors, Collaborative Systems, Virtual Reality, Marketing and Advertising. Eye Tracking Methodology: Theory and Practice will be an invaluable guide for practitioners responsible for developing or implementing an eye tracking system. It will also be an invaluable teaching text for relevant modules on advanced undergraduate and postgraduate courses such as Computer Vision, Cognition, HCI and Usability. Note de contenu : Contents Part I. Introduction to the Human Visual System (HVS) Visual Attention Neurological Substrate of the HVS Visual Psychophysics Taxonomy and Models of Eye Movements Part II. Eye Tracking Systems Eye Tracking Techniques System Hardware Installation System Software Development System Calibration Eye Movement Analysis Part III. Eye Tracking Applications Diversity and Types of Eye Tracking Applications Neuroscience and Psychology Industrial Engineering and Human Factors Marketing/Advertising Computer Science Conclusion -Index

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Strategies for Feedback Linearisation / Freddy Garces

Public ISBD Titre : Strategies for Feedback Linearisation : a dynamic neural network approach Type de document : texte imprimé Auteurs : Freddy Garces, Auteur ; Victor M. Becerra, Auteur ; Chandrasekhar Kambhampati, Auteur Editeur : London : Springer-Verlag Année de publication : 2003 Collection : Advances in Industrial Control Importance : 171 p. Présentation : couv. ill. en coul., ill. Format : 23,9 cm. ISBN/ISSN/EAN : 978-1-85233-501-4 Langues : Anglais (eng) Catégories : AUTOMATISME Mots-clés : Extension  control  feedback  identification  linearisation  mimo system  neural networks  non-linear identification  nonlinear control  nonlinear system  system  system identification Index. décimale : 25-04 Théorie des systèmes:systèmes asservis Résumé : The last few decades have witnessed tremendous developments in nonlinear control theory. One of the most important of these is the model-based method of feedback linearisation in which a nonlinear system is transformed into a linear system by means of state feedback and nonlinear transformations. After feedback linearisation, a system can be dealt with by linear controller design. The extension of these techniques to include MIMO systems allows for the further simplification of controller design by decoupling the system. Strategies for Feedback Linearisation demonstrates this powerful technique in the light of research on neural networks which allow the identification of nonlinear models without the complicated and costly development of models based on physical laws. Dynamic or recurrent neural networks have inherent properties that allow them to approximate nonlinear dynamic systems. Strategies for the identification of nonlinear systems using such neural networks are presented in this monograph together with the use of such models for the design and application of input-output linearisation and decoupling methods. Strategies for Feedback Linearisation is written to serve academic and industrial researchers in non-linear control and system identification and practising control engineers interested in their application to real-world industrial systems. The reader will gain a balanced view of theoretical and practical issues: relevant mathematical proofs are provided as are case studies illustrating design and application issues. Note de contenu : Table of Contents Chapter 1 Introduction 1.1 The Need for Nonlinear Control in Industrial Processes 1.2 Nonlinear Control Strategies 1.3 Nonlinear System Models: a Key Issue 1.4 Neural Networks 1.5 System Identification 1.6 Static Neural Networks for Identification and Control 1.7 Dynamic Neural Networks for Nonlinear Identification 1.8 Input-Output Linearisation-Decoupling and the Use of Dynamic Neural Networks 1.9 Potential applications Chapter 2 Fundamental Concepts 2.1 Elementary Concepts of Geometric Theory 2.2 Stability of Nonlinear Systems 2.3 Summary Chapter 3 Introduction To Feedback Linearisation 3.1 Nonlinear Control Affine Systems 3.2 Review of Other Linearisation Techniques 3.3 General Nonlinear Systems 3.4 Symbolic Algebra Software 3.5 Remarks 3.6 Summary Chapter 4 Dynamic Neural Networks 4.1 Introduction 4.2 Origins of Neural Computation 4.3 Single Layer Neural Network Structure 4.4 Static Multilayer Feedforward Networks 4.5 Dynamic Neural Networks (DNNs) 4.6 Training Dynamic Neural Networks 4.7 Validating the Dynamic Neural Models 4.8 A Training Example 4.9 Summary Chapter 5 Nonlinear System Approximation Using Dynamic Neural Networks 5.1 The Universal Approximation Property of Static Multilayer Networks 5.2 Dynamic Neural Network Structure 5.3 Approximation Ability of Dynamic Neural Networks 5.4 Summary Chapter 6 Feedback Linearisation Using Dynamic Neural Networks 6.1 Approximate Input-Output Linearisation of Control Affine Systems 6.2 Approximate Input-Output Linearisation for General Nonlinear Systems 6.3 Related Work 6.4 Summary Chapter 7 Case Studies 7.1 The Pressure Pilot Plant 7.2 Single Link Manipulator 7.3 Evaporator System 7.4 Summary REFERENCES Strategies for Feedback Linearisation : a dynamic neural network approach [texte imprimé] / Freddy Garces, Auteur ; Victor M. Becerra, Auteur ; Chandrasekhar Kambhampati, Auteur . - London : Springer-Verlag, 2003 . - 171 p. : couv. ill. en coul., ill. ; 23,9 cm.. - (Advances in Industrial Control) . ISBN : 978-1-85233-501-4 Langues : Anglais (eng) Catégories : AUTOMATISME Mots-clés : Extension  control  feedback  identification  linearisation  mimo system  neural networks  non-linear identification  nonlinear control  nonlinear system  system  system identification Index. décimale : 25-04 Théorie des systèmes:systèmes asservis Résumé : The last few decades have witnessed tremendous developments in nonlinear control theory. One of the most important of these is the model-based method of feedback linearisation in which a nonlinear system is transformed into a linear system by means of state feedback and nonlinear transformations. After feedback linearisation, a system can be dealt with by linear controller design. The extension of these techniques to include MIMO systems allows for the further simplification of controller design by decoupling the system. Strategies for Feedback Linearisation demonstrates this powerful technique in the light of research on neural networks which allow the identification of nonlinear models without the complicated and costly development of models based on physical laws. Dynamic or recurrent neural networks have inherent properties that allow them to approximate nonlinear dynamic systems. Strategies for the identification of nonlinear systems using such neural networks are presented in this monograph together with the use of such models for the design and application of input-output linearisation and decoupling methods. Strategies for Feedback Linearisation is written to serve academic and industrial researchers in non-linear control and system identification and practising control engineers interested in their application to real-world industrial systems. The reader will gain a balanced view of theoretical and practical issues: relevant mathematical proofs are provided as are case studies illustrating design and application issues. Note de contenu : Table of Contents Chapter 1 Introduction 1.1 The Need for Nonlinear Control in Industrial Processes 1.2 Nonlinear Control Strategies 1.3 Nonlinear System Models: a Key Issue 1.4 Neural Networks 1.5 System Identification 1.6 Static Neural Networks for Identification and Control 1.7 Dynamic Neural Networks for Nonlinear Identification 1.8 Input-Output Linearisation-Decoupling and the Use of Dynamic Neural Networks 1.9 Potential applications Chapter 2 Fundamental Concepts 2.1 Elementary Concepts of Geometric Theory 2.2 Stability of Nonlinear Systems 2.3 Summary Chapter 3 Introduction To Feedback Linearisation 3.1 Nonlinear Control Affine Systems 3.2 Review of Other Linearisation Techniques 3.3 General Nonlinear Systems 3.4 Symbolic Algebra Software 3.5 Remarks 3.6 Summary Chapter 4 Dynamic Neural Networks 4.1 Introduction 4.2 Origins of Neural Computation 4.3 Single Layer Neural Network Structure 4.4 Static Multilayer Feedforward Networks 4.5 Dynamic Neural Networks (DNNs) 4.6 Training Dynamic Neural Networks 4.7 Validating the Dynamic Neural Models 4.8 A Training Example 4.9 Summary Chapter 5 Nonlinear System Approximation Using Dynamic Neural Networks 5.1 The Universal Approximation Property of Static Multilayer Networks 5.2 Dynamic Neural Network Structure 5.3 Approximation Ability of Dynamic Neural Networks 5.4 Summary Chapter 6 Feedback Linearisation Using Dynamic Neural Networks 6.1 Approximate Input-Output Linearisation of Control Affine Systems 6.2 Approximate Input-Output Linearisation for General Nonlinear Systems 6.3 Related Work 6.4 Summary Chapter 7 Case Studies 7.1 The Pressure Pilot Plant 7.2 Single Link Manipulator 7.3 Evaporator System 7.4 Summary REFERENCES

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113	25-04-06	Livre	Bibliothèque de Génie Electrique- USTO	Documentaires	Exclu du prêt	113

Progress in Pattern Recognition / Sameer Singh

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Multivariable Control Systems / P. Albertos

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Robust Control Design with MATLAB / D.-W. Gu

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Digital Self-Tuning Controllers / V. Bobal

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PID Control / Michel A. Johnson

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Modelling and control of mini-flying machines / Pedro Castillo

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Intelligent Control Systems with LabVIEWâ„¢ / Pedro Ponce-Cruz

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Parallel Computing for Real-time Signal Processing and Control / M.O. Tokhi

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Mechanisms And Robots Analysis With Matlab / Dan B. Marghitu

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Programming Mobile Robots with Aria and Player A Guide to C Object-Oriented Control / Amanda Whitbrook

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