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Biblioteca

MARC Lista (tabellare)
2001 IEEE Mountain Workshop on Soft Computing in Industrial Applications
2001 IEEE Mountain Workshop on Soft Computing in Industrial Applications
Pubbl/distr/stampa [Place of publication not identified], : I E E E, 2001
Disciplina 006.3
Altri autori (Persone) EmbrechtsMarc
Van LandinghamHugh F. <1935->
OvaskaSeppo J. <1956->
Soggetto topico Engineering & Applied Sciences
Computer Science
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996217699303316
[Place of publication not identified], : I E E E, 2001
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
2001 IEEE Mountain Workshop on Soft Computing in Industrial Applications
2001 IEEE Mountain Workshop on Soft Computing in Industrial Applications
Pubbl/distr/stampa [Place of publication not identified], : I E E E, 2001
Disciplina 006.3
Altri autori (Persone) EmbrechtsMarc
Van LandinghamHugh F. <1935->
OvaskaSeppo J. <1956->
Soggetto topico Engineering & Applied Sciences
Computer Science
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910872998203321
[Place of publication not identified], : I E E E, 2001
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computationally intelligent hybrid systems : the fusion of soft computing and hard computing / / edited by Seppo J. Ovaska
Computationally intelligent hybrid systems : the fusion of soft computing and hard computing / / edited by Seppo J. Ovaska
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley, , c2005
Descrizione fisica 1 PDF (xxiii, 410 pages) : illustrations
Disciplina 006.3
Altri autori (Persone) OvaskaSeppo J. <1956->
Collana IEEE press series on computational intelligence
Soggetto topico Intelligent control systems
Computational intelligence
Soft computing
Mechanical Engineering - General
Mechanical Engineering
Engineering & Applied Sciences
ISBN 0-471-68339-6
0-471-68340-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contributors xv -- Foreword xvii -- David B. Fogel -- Preface xix -- Editor's Introduction to Chapter 1 1 -- 1 INTRODUCTION TO FUSION OF SOFT COMPUTING AND HARD COMPUTING 5 -- Seppo J. Ovaska -- 1.1 Introduction 5 -- 1.2 Structural Categories 9 -- 1.3 Characteristic Features 19 -- 1.4 Characterization of Hybrid Applications 24 -- 1.5 Conclusions and Discussion 25 -- Editor's Introduction to Chapter 2 31 -- 2 GENERAL MODEL FOR LARGE-SCALE PLANT APPLICATION 35 -- Akimoto Kamiya -- 2.1 Introduction 35 -- 2.2 Control System Architecture 36 -- 2.3 Forecasting of Market Demand 37 -- 2.4 Scheduling of Processes 39 -- 2.5 Supervisory Control 45 -- 2.6 Local Control 47 -- 2.7 General Fusion Model and Fusion Categories 49 -- 2.8 Conclusions 51 -- Editor's Introduction to Chapter 3 57 -- 3 ADAPTIVE FLIGHT CONTROL: SOFT COMPUTING WITH HARD CONSTRAINTS 61 -- Richard E. Saeks -- 3.1 Introduction 61 -- 3.2 The Adaptive Control Algorithms 62 -- 3.3 Flight Control 67 -- 3.4 X-43A-LS Autolander 68 -- 3.5 LOFLYTEw Optimal Control 73 -- 3.6 LOFLYTEw Stability Augmentation 76 -- 3.7 Design for Uncertainty with Hard Constraints 82 -- 3.8 Fusion of Soft Computing and Hard Computing 85 -- 3.9 Conclusions 85 -- Editor's Introduction to Chapter 4 89 -- 4 SENSORLESS CONTROL OF SWITCHED RELUCTANCE MOTORS 93 -- Adrian David Cheok -- 4.1 Introduction 93 -- 4.2 Fuzzy Logic Model 95 -- 4.3 Accuracy Enhancement Algorithms 101 -- 4.4 Simulation Algorithm and Results 108 -- 4.5 Hardware and Software Implementation 109 -- 4.6 Experimental Results 111 -- 4.7 Fusion of Soft Computing and Hard Computing 119 -- 4.8 Conclusion and Discussion 122 -- Editor's Introduction to Chapter 5 125 -- 5 ESTIMATION OF UNCERTAINTY BOUNDS FOR LINEAR AND NONLINEAR ROBUST CONTROL 129 -- Gregory D. Buckner -- 5.1 Introduction 129 -- 5.2 Robust Control of Active Magnetic Bearings 130 -- 5.3 Nominal H1 Control of the AMB Test Rig 133 -- 5.4 Estimating Modeling Uncertainty for H1 Control of the AMB Test Rig 138 -- 5.5 Nonlinear Robust Control of the AMB Test Rig 148 -- 5.6 Estimating Model Uncertainty for SMC of the AMB Test Rig 151 -- 5.7 Fusion of Soft Computing and Hard Computing 159 -- 5.8 Conclusion 162 -- Editor's Introduction to Chapter 6 165.
6 INDIRECT ON-LINE TOOL WEAR MONITORING 169 -- Bernhard Sick -- 6.1 Introduction 169 -- 6.2 Problem Description and Monitoring Architecture 172 -- 6.3 State of the Art 176 -- 6.4 New Solution 184 -- 6.5 Experimental Results 189 -- 6.6 Fusion of Soft Computing and Hard Computing 192 -- 6.7 Summary and Conclusions 194 -- Editor's Introduction to Chapter 7 199 -- 7 PREDICTIVE FILTERING METHODS FOR POWER SYSTEMS APPLICATIONS 203 -- Seppo J. Ovaska -- 7.1 Introduction 203 -- 7.2 Multiplicative General-Parameter Filtering 205 -- 7.3 Genetic Algorithm for Optimizing Filter Tap Cross-Connections 207 -- 7.4 Design of Multiplierless Basis Filters by Evolutionary Programming 211 -- 7.5 Predictive Filters for Zero-Crossings Detector 213 -- 7.6 Predictive Filters for Current Reference Generators 223 -- 7.7 Fusion of Soft Computing and Hard Computing 233 -- 7.8 Conclusion 234 -- Appendix 7.1: Coefficients of 50-Hz Sinusoid-Predictive FIR Filters 239 -- Editor's Introduction to Chapter 8 241 -- 8 INTRUSION DETECTION FOR COMPUTER SECURITY 245 -- Sung-Bae Cho and Sang-Jun Han -- 8.1 Introduction 245 -- 8.2 Related Works 247 -- 8.3 Intrusion Detection with Hybrid Techniques 253 -- 8.4 Experimental Results 261 -- 8.5 Fusion of Soft Computing and Hard Computing 267 -- 8.6 Concluding Remarks 268 -- Editor's Introduction to Chapter 9 273 -- 9 EMOTION GENERATING METHOD ON HUMAN-COMPUTER INTERFACES 277 -- Kazuya Mera and Takumi Ichimura -- 9.1 Introduction 277 -- 9.2 Emotion Generating Calculations Method 279 -- 9.3 Emotion-Oriented Interaction Systems 298 -- 9.4 Applications of Emotion-Oriented Interaction Systems 302 -- 9.5 Fusion of Soft Computing and Hard Computing 308 -- 9.6 Conclusion 310 -- Editor's Introduction to Chapter 10 313 -- 10 INTRODUCTION TO SCIENTIFIC DATA MINING: DIRECT KERNEL METHODS AND APPLICATIONS 317 -- Mark J. Embrechts, Boleslaw Szymanski, and Karsten Sternickel -- 10.1 Introduction 317 -- 10.2 What Is Data Mining? 318 -- 10.3 Basic Definitions for Data Mining 323 -- 10.4 Introduction to Direct Kernel Methods 335 -- 10.5 Direct Kernel Ridge Regression 342 -- 10.6 Case Study #1: Predicting the Binding Energy for Amino Acids 344 -- 10.7 Case Study #2: Predicting the Region of Origin for Italian Olive Oils 346 -- 10.8 Case Study #3: Predicting Ischemia from Magnetocardiography 350 -- 10.9 Fusion of Soft Computing and Hard Computing 359 -- 10.10 Conclusions 359 -- Editor's Introduction to Chapter 11 363.
11 WORLD WIDE WEB USAGE MINING 367 -- Ajith Abraham -- 11.1 Introduction 367 -- 11.2 Daily and Hourly Web Usage Clustering 372 -- 11.3 Daily and Hourly Web Usage Analysis 378 -- 11.3.1 Linear Genetic Programming 379 -- 11.4 Fusion of Soft Computing and Hard Computing 389 -- 11.5 Conclusions 393 -- References 394 -- INDEX 397 -- ABOUT THE EDITOR 409Contributors xv -- Foreword xvii -- David B. Fogel -- Preface xix -- Editor's Introduction to Chapter 1 1 -- 1 INTRODUCTION TO FUSION OF SOFT COMPUTING AND HARD COMPUTING 5 -- Seppo J. Ovaska -- 1.1 Introduction 5 -- 1.2 Structural Categories 9 -- 1.3 Characteristic Features 19 -- 1.4 Characterization of Hybrid Applications 24 -- 1.5 Conclusions and Discussion 25 -- Editor's Introduction to Chapter 2 31 -- 2 GENERAL MODEL FOR LARGE-SCALE PLANT APPLICATION 35 -- Akimoto Kamiya -- 2.1 Introduction 35 -- 2.2 Control System Architecture 36 -- 2.3 Forecasting of Market Demand 37 -- 2.4 Scheduling of Processes 39 -- 2.5 Supervisory Control 45 -- 2.6 Local Control 47 -- 2.7 General Fusion Model and Fusion Categories 49 -- 2.8 Conclusions 51 -- Editor's Introduction to Chapter 3 57 -- 3 ADAPTIVE FLIGHT CONTROL: SOFT COMPUTING WITH HARD CONSTRAINTS 61 -- Richard E. Saeks -- 3.1 Introduction 61 -- 3.2 The Adaptive Control Algorithms 62 -- 3.3 Flight Control 67 -- 3.4 X-43A-LS Autolander 68 -- 3.5 LOFLYTEw Optimal Control 73 -- 3.6 LOFLYTEw Stability Augmentation 76 -- 3.7 Design for Uncertainty with Hard Constraints 82 -- 3.8 Fusion of Soft Computing and Hard Computing 85 -- 3.9 Conclusions 85 -- Editor's Introduction to Chapter 4 89 -- 4 SENSORLESS CONTROL OF SWITCHED RELUCTANCE MOTORS 93 -- Adrian David Cheok -- 4.1 Introduction 93 -- 4.2 Fuzzy Logic Model 95 -- 4.3 Accuracy Enhancement Algorithms 101 -- 4.4 Simulation Algorithm and Results 108 -- 4.5 Hardware and Software Implementation 109 -- 4.6 Experimental Results 111 -- 4.7 Fusion of Soft Computing and Hard Computing 119 -- 4.8 Conclusion and Discussion 122 -- Editor's Introduction to Chapter 5 125.
5 ESTIMATION OF UNCERTAINTY BOUNDS FOR LINEAR AND NONLINEAR ROBUST CONTROL 129 -- Gregory D. Buckner -- 5.1 Introduction 129 -- 5.2 Robust Control of Active Magnetic Bearings 130 -- 5.3 Nominal H1 Control of the AMB Test Rig 133 -- 5.4 Estimating Modeling Uncertainty for H1 Control of the AMB Test Rig 138 -- 5.5 Nonlinear Robust Control of the AMB Test Rig 148 -- 5.6 Estimating Model Uncertainty for SMC of the AMB Test Rig 151 -- 5.7 Fusion of Soft Computing and Hard Computing 159 -- 5.8 Conclusion 162 -- Editor's Introduction to Chapter 6 165 -- 6 INDIRECT ON-LINE TOOL WEAR MONITORING 169 -- Bernhard Sick -- 6.1 Introduction 169 -- 6.2 Problem Description and Monitoring Architecture 172 -- 6.3 State of the Art 176 -- 6.4 New Solution 184 -- 6.5 Experimental Results 189 -- 6.6 Fusion of Soft Computing and Hard Computing 192 -- 6.7 Summary and Conclusions 194 -- Editor's Introduction to Chapter 7 199 -- 7 PREDICTIVE FILTERING METHODS FOR POWER SYSTEMS APPLICATIONS 203 -- Seppo J. Ovaska -- 7.1 Introduction 203 -- 7.2 Multiplicative General-Parameter Filtering 205 -- 7.3 Genetic Algorithm for Optimizing Filter Tap Cross-Connections 207 -- 7.4 Design of Multiplierless Basis Filters by Evolutionary Programming 211 -- 7.5 Predictive Filters for Zero-Crossings Detector 213 -- 7.6 Predictive Filters for Current Reference Generators 223 -- 7.7 Fusion of Soft Computing and Hard Computing 233 -- 7.8 Conclusion 234 -- Appendix 7.1: Coefficients of 50-Hz Sinusoid-Predictive FIR Filters 239 -- Editor's Introduction to Chapter 8 241 -- 8 INTRUSION DETECTION FOR COMPUTER SECURITY 245 -- Sung-Bae Cho and Sang-Jun Han -- 8.1 Introduction 245 -- 8.2 Related Works 247 -- 8.3 Intrusion Detection with Hybrid Techniques 253 -- 8.4 Experimental Results 261 -- 8.5 Fusion of Soft Computing and Hard Computing 267 -- 8.6 Concluding Remarks 268 -- Editor's Introduction to Chapter 9 273 -- 9 EMOTION GENERATING METHOD ON HUMAN-COMPUTER INTERFACES 277 -- Kazuya Mera and Takumi Ichimura -- 9.1 Introduction 277 -- 9.2 Emotion Generating Calculations Method 279 -- 9.3 Emotion-Oriented Interaction Systems 298 -- 9.4 Applications of Emotion-Oriented Interaction Systems 302 -- 9.5 Fusion of Soft Computing and Hard Computing 308 -- 9.6 Conclusion 310 -- Editor's Introduction to Chapter 10 313.
10 INTRODUCTION TO SCIENTIFIC DATA MINING: DIRECT KERNEL METHODS AND APPLICATIONS 317 -- Mark J. Embrechts, Boleslaw Szymanski, and Karsten Sternickel -- 10.1 Introduction 317 -- 10.2 What Is Data Mining? 318 -- 10.3 Basic Definitions for Data Mining 323 -- 10.4 Introduction to Direct Kernel Methods 335 -- 10.5 Direct Kernel Ridge Regression 342 -- 10.6 Case Study #1: Predicting the Binding Energy for Amino Acids 344 -- 10.7 Case Study #2: Predicting the Region of Origin for Italian Olive Oils 346 -- 10.8 Case Study #3: Predicting Ischemia from Magnetocardiography 350 -- 10.9 Fusion of Soft Computing and Hard Computing 359 -- 10.10 Conclusions 359 -- Editor's Introduction to Chapter 11 363 -- 11 WORLD WIDE WEB USAGE MINING 367 -- Ajith Abraham -- 11.1 Introduction 367 -- 11.2 Daily and Hourly Web Usage Clustering 372 -- 11.3 Daily and Hourly Web Usage Analysis 378 -- 11.3.1 Linear Genetic Programming 379 -- 11.4 Fusion of Soft Computing and Hard Computing 389 -- 11.5 Conclusions 393 -- References 394 -- INDEX 397 -- ABOUT THE EDITOR 409.
Record Nr. UNINA-9910145266403321
Hoboken, New Jersey : , : Wiley, , c2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computationally intelligent hybrid systems : the fusion of soft computing and hard computing / / edited by Seppo J. Ovaska
Computationally intelligent hybrid systems : the fusion of soft computing and hard computing / / edited by Seppo J. Ovaska
Pubbl/distr/stampa Hoboken, New Jersey : , : Wiley, , c2005
Descrizione fisica 1 PDF (xxiii, 410 pages) : illustrations
Disciplina 006.3
Altri autori (Persone) OvaskaSeppo J. <1956->
Collana IEEE press series on computational intelligence
Soggetto topico Intelligent control systems
Computational intelligence
Soft computing
Mechanical Engineering - General
Mechanical Engineering
Engineering & Applied Sciences
ISBN 0-471-68339-6
0-471-68340-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contributors xv -- Foreword xvii -- David B. Fogel -- Preface xix -- Editor's Introduction to Chapter 1 1 -- 1 INTRODUCTION TO FUSION OF SOFT COMPUTING AND HARD COMPUTING 5 -- Seppo J. Ovaska -- 1.1 Introduction 5 -- 1.2 Structural Categories 9 -- 1.3 Characteristic Features 19 -- 1.4 Characterization of Hybrid Applications 24 -- 1.5 Conclusions and Discussion 25 -- Editor's Introduction to Chapter 2 31 -- 2 GENERAL MODEL FOR LARGE-SCALE PLANT APPLICATION 35 -- Akimoto Kamiya -- 2.1 Introduction 35 -- 2.2 Control System Architecture 36 -- 2.3 Forecasting of Market Demand 37 -- 2.4 Scheduling of Processes 39 -- 2.5 Supervisory Control 45 -- 2.6 Local Control 47 -- 2.7 General Fusion Model and Fusion Categories 49 -- 2.8 Conclusions 51 -- Editor's Introduction to Chapter 3 57 -- 3 ADAPTIVE FLIGHT CONTROL: SOFT COMPUTING WITH HARD CONSTRAINTS 61 -- Richard E. Saeks -- 3.1 Introduction 61 -- 3.2 The Adaptive Control Algorithms 62 -- 3.3 Flight Control 67 -- 3.4 X-43A-LS Autolander 68 -- 3.5 LOFLYTEw Optimal Control 73 -- 3.6 LOFLYTEw Stability Augmentation 76 -- 3.7 Design for Uncertainty with Hard Constraints 82 -- 3.8 Fusion of Soft Computing and Hard Computing 85 -- 3.9 Conclusions 85 -- Editor's Introduction to Chapter 4 89 -- 4 SENSORLESS CONTROL OF SWITCHED RELUCTANCE MOTORS 93 -- Adrian David Cheok -- 4.1 Introduction 93 -- 4.2 Fuzzy Logic Model 95 -- 4.3 Accuracy Enhancement Algorithms 101 -- 4.4 Simulation Algorithm and Results 108 -- 4.5 Hardware and Software Implementation 109 -- 4.6 Experimental Results 111 -- 4.7 Fusion of Soft Computing and Hard Computing 119 -- 4.8 Conclusion and Discussion 122 -- Editor's Introduction to Chapter 5 125 -- 5 ESTIMATION OF UNCERTAINTY BOUNDS FOR LINEAR AND NONLINEAR ROBUST CONTROL 129 -- Gregory D. Buckner -- 5.1 Introduction 129 -- 5.2 Robust Control of Active Magnetic Bearings 130 -- 5.3 Nominal H1 Control of the AMB Test Rig 133 -- 5.4 Estimating Modeling Uncertainty for H1 Control of the AMB Test Rig 138 -- 5.5 Nonlinear Robust Control of the AMB Test Rig 148 -- 5.6 Estimating Model Uncertainty for SMC of the AMB Test Rig 151 -- 5.7 Fusion of Soft Computing and Hard Computing 159 -- 5.8 Conclusion 162 -- Editor's Introduction to Chapter 6 165.
6 INDIRECT ON-LINE TOOL WEAR MONITORING 169 -- Bernhard Sick -- 6.1 Introduction 169 -- 6.2 Problem Description and Monitoring Architecture 172 -- 6.3 State of the Art 176 -- 6.4 New Solution 184 -- 6.5 Experimental Results 189 -- 6.6 Fusion of Soft Computing and Hard Computing 192 -- 6.7 Summary and Conclusions 194 -- Editor's Introduction to Chapter 7 199 -- 7 PREDICTIVE FILTERING METHODS FOR POWER SYSTEMS APPLICATIONS 203 -- Seppo J. Ovaska -- 7.1 Introduction 203 -- 7.2 Multiplicative General-Parameter Filtering 205 -- 7.3 Genetic Algorithm for Optimizing Filter Tap Cross-Connections 207 -- 7.4 Design of Multiplierless Basis Filters by Evolutionary Programming 211 -- 7.5 Predictive Filters for Zero-Crossings Detector 213 -- 7.6 Predictive Filters for Current Reference Generators 223 -- 7.7 Fusion of Soft Computing and Hard Computing 233 -- 7.8 Conclusion 234 -- Appendix 7.1: Coefficients of 50-Hz Sinusoid-Predictive FIR Filters 239 -- Editor's Introduction to Chapter 8 241 -- 8 INTRUSION DETECTION FOR COMPUTER SECURITY 245 -- Sung-Bae Cho and Sang-Jun Han -- 8.1 Introduction 245 -- 8.2 Related Works 247 -- 8.3 Intrusion Detection with Hybrid Techniques 253 -- 8.4 Experimental Results 261 -- 8.5 Fusion of Soft Computing and Hard Computing 267 -- 8.6 Concluding Remarks 268 -- Editor's Introduction to Chapter 9 273 -- 9 EMOTION GENERATING METHOD ON HUMAN-COMPUTER INTERFACES 277 -- Kazuya Mera and Takumi Ichimura -- 9.1 Introduction 277 -- 9.2 Emotion Generating Calculations Method 279 -- 9.3 Emotion-Oriented Interaction Systems 298 -- 9.4 Applications of Emotion-Oriented Interaction Systems 302 -- 9.5 Fusion of Soft Computing and Hard Computing 308 -- 9.6 Conclusion 310 -- Editor's Introduction to Chapter 10 313 -- 10 INTRODUCTION TO SCIENTIFIC DATA MINING: DIRECT KERNEL METHODS AND APPLICATIONS 317 -- Mark J. Embrechts, Boleslaw Szymanski, and Karsten Sternickel -- 10.1 Introduction 317 -- 10.2 What Is Data Mining? 318 -- 10.3 Basic Definitions for Data Mining 323 -- 10.4 Introduction to Direct Kernel Methods 335 -- 10.5 Direct Kernel Ridge Regression 342 -- 10.6 Case Study #1: Predicting the Binding Energy for Amino Acids 344 -- 10.7 Case Study #2: Predicting the Region of Origin for Italian Olive Oils 346 -- 10.8 Case Study #3: Predicting Ischemia from Magnetocardiography 350 -- 10.9 Fusion of Soft Computing and Hard Computing 359 -- 10.10 Conclusions 359 -- Editor's Introduction to Chapter 11 363.
11 WORLD WIDE WEB USAGE MINING 367 -- Ajith Abraham -- 11.1 Introduction 367 -- 11.2 Daily and Hourly Web Usage Clustering 372 -- 11.3 Daily and Hourly Web Usage Analysis 378 -- 11.3.1 Linear Genetic Programming 379 -- 11.4 Fusion of Soft Computing and Hard Computing 389 -- 11.5 Conclusions 393 -- References 394 -- INDEX 397 -- ABOUT THE EDITOR 409Contributors xv -- Foreword xvii -- David B. Fogel -- Preface xix -- Editor's Introduction to Chapter 1 1 -- 1 INTRODUCTION TO FUSION OF SOFT COMPUTING AND HARD COMPUTING 5 -- Seppo J. Ovaska -- 1.1 Introduction 5 -- 1.2 Structural Categories 9 -- 1.3 Characteristic Features 19 -- 1.4 Characterization of Hybrid Applications 24 -- 1.5 Conclusions and Discussion 25 -- Editor's Introduction to Chapter 2 31 -- 2 GENERAL MODEL FOR LARGE-SCALE PLANT APPLICATION 35 -- Akimoto Kamiya -- 2.1 Introduction 35 -- 2.2 Control System Architecture 36 -- 2.3 Forecasting of Market Demand 37 -- 2.4 Scheduling of Processes 39 -- 2.5 Supervisory Control 45 -- 2.6 Local Control 47 -- 2.7 General Fusion Model and Fusion Categories 49 -- 2.8 Conclusions 51 -- Editor's Introduction to Chapter 3 57 -- 3 ADAPTIVE FLIGHT CONTROL: SOFT COMPUTING WITH HARD CONSTRAINTS 61 -- Richard E. Saeks -- 3.1 Introduction 61 -- 3.2 The Adaptive Control Algorithms 62 -- 3.3 Flight Control 67 -- 3.4 X-43A-LS Autolander 68 -- 3.5 LOFLYTEw Optimal Control 73 -- 3.6 LOFLYTEw Stability Augmentation 76 -- 3.7 Design for Uncertainty with Hard Constraints 82 -- 3.8 Fusion of Soft Computing and Hard Computing 85 -- 3.9 Conclusions 85 -- Editor's Introduction to Chapter 4 89 -- 4 SENSORLESS CONTROL OF SWITCHED RELUCTANCE MOTORS 93 -- Adrian David Cheok -- 4.1 Introduction 93 -- 4.2 Fuzzy Logic Model 95 -- 4.3 Accuracy Enhancement Algorithms 101 -- 4.4 Simulation Algorithm and Results 108 -- 4.5 Hardware and Software Implementation 109 -- 4.6 Experimental Results 111 -- 4.7 Fusion of Soft Computing and Hard Computing 119 -- 4.8 Conclusion and Discussion 122 -- Editor's Introduction to Chapter 5 125.
5 ESTIMATION OF UNCERTAINTY BOUNDS FOR LINEAR AND NONLINEAR ROBUST CONTROL 129 -- Gregory D. Buckner -- 5.1 Introduction 129 -- 5.2 Robust Control of Active Magnetic Bearings 130 -- 5.3 Nominal H1 Control of the AMB Test Rig 133 -- 5.4 Estimating Modeling Uncertainty for H1 Control of the AMB Test Rig 138 -- 5.5 Nonlinear Robust Control of the AMB Test Rig 148 -- 5.6 Estimating Model Uncertainty for SMC of the AMB Test Rig 151 -- 5.7 Fusion of Soft Computing and Hard Computing 159 -- 5.8 Conclusion 162 -- Editor's Introduction to Chapter 6 165 -- 6 INDIRECT ON-LINE TOOL WEAR MONITORING 169 -- Bernhard Sick -- 6.1 Introduction 169 -- 6.2 Problem Description and Monitoring Architecture 172 -- 6.3 State of the Art 176 -- 6.4 New Solution 184 -- 6.5 Experimental Results 189 -- 6.6 Fusion of Soft Computing and Hard Computing 192 -- 6.7 Summary and Conclusions 194 -- Editor's Introduction to Chapter 7 199 -- 7 PREDICTIVE FILTERING METHODS FOR POWER SYSTEMS APPLICATIONS 203 -- Seppo J. Ovaska -- 7.1 Introduction 203 -- 7.2 Multiplicative General-Parameter Filtering 205 -- 7.3 Genetic Algorithm for Optimizing Filter Tap Cross-Connections 207 -- 7.4 Design of Multiplierless Basis Filters by Evolutionary Programming 211 -- 7.5 Predictive Filters for Zero-Crossings Detector 213 -- 7.6 Predictive Filters for Current Reference Generators 223 -- 7.7 Fusion of Soft Computing and Hard Computing 233 -- 7.8 Conclusion 234 -- Appendix 7.1: Coefficients of 50-Hz Sinusoid-Predictive FIR Filters 239 -- Editor's Introduction to Chapter 8 241 -- 8 INTRUSION DETECTION FOR COMPUTER SECURITY 245 -- Sung-Bae Cho and Sang-Jun Han -- 8.1 Introduction 245 -- 8.2 Related Works 247 -- 8.3 Intrusion Detection with Hybrid Techniques 253 -- 8.4 Experimental Results 261 -- 8.5 Fusion of Soft Computing and Hard Computing 267 -- 8.6 Concluding Remarks 268 -- Editor's Introduction to Chapter 9 273 -- 9 EMOTION GENERATING METHOD ON HUMAN-COMPUTER INTERFACES 277 -- Kazuya Mera and Takumi Ichimura -- 9.1 Introduction 277 -- 9.2 Emotion Generating Calculations Method 279 -- 9.3 Emotion-Oriented Interaction Systems 298 -- 9.4 Applications of Emotion-Oriented Interaction Systems 302 -- 9.5 Fusion of Soft Computing and Hard Computing 308 -- 9.6 Conclusion 310 -- Editor's Introduction to Chapter 10 313.
10 INTRODUCTION TO SCIENTIFIC DATA MINING: DIRECT KERNEL METHODS AND APPLICATIONS 317 -- Mark J. Embrechts, Boleslaw Szymanski, and Karsten Sternickel -- 10.1 Introduction 317 -- 10.2 What Is Data Mining? 318 -- 10.3 Basic Definitions for Data Mining 323 -- 10.4 Introduction to Direct Kernel Methods 335 -- 10.5 Direct Kernel Ridge Regression 342 -- 10.6 Case Study #1: Predicting the Binding Energy for Amino Acids 344 -- 10.7 Case Study #2: Predicting the Region of Origin for Italian Olive Oils 346 -- 10.8 Case Study #3: Predicting Ischemia from Magnetocardiography 350 -- 10.9 Fusion of Soft Computing and Hard Computing 359 -- 10.10 Conclusions 359 -- Editor's Introduction to Chapter 11 363 -- 11 WORLD WIDE WEB USAGE MINING 367 -- Ajith Abraham -- 11.1 Introduction 367 -- 11.2 Daily and Hourly Web Usage Clustering 372 -- 11.3 Daily and Hourly Web Usage Analysis 378 -- 11.3.1 Linear Genetic Programming 379 -- 11.4 Fusion of Soft Computing and Hard Computing 389 -- 11.5 Conclusions 393 -- References 394 -- INDEX 397 -- ABOUT THE EDITOR 409.
Record Nr. UNINA-9910831042703321
Hoboken, New Jersey : , : Wiley, , c2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Real-time systems design and analysis [[electronic resource] ] : tools for the practitioner / / Phillip A. Laplante, Seppo J. Ovaska
Real-time systems design and analysis [[electronic resource] ] : tools for the practitioner / / Phillip A. Laplante, Seppo J. Ovaska
Autore Laplante Phillip A
Edizione [4th ed.]
Pubbl/distr/stampa Hoboken, NJ, : Wiley-IEEE Press, c2012
Descrizione fisica 1 online resource (584 p.)
Disciplina 004.33
Altri autori (Persone) OvaskaSeppo J. <1956->
Soggetto topico Real-time data processing
System design
ISBN 1-283-33228-0
9786613332288
1-118-13659-4
1-118-13657-8
Classificazione SCI067000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto REAL-TIME SYSTEMS DESIGN AND ANALYSIS: Tools for the Practitioner, Fourth Edition; CONTENTS; PREFACE; ACKNOWLEDGMENTS; 1: FUNDAMENTALS OF REAL-TIME SYSTEMS; 1.1 CONCEPTS AND MISCONCEPTIONS; 1.1.1 Definitions for Real-Time Systems; 1.1.2 Usual Misconceptions; 1.2 MULTIDISCIPLINARY DESIGN CHALLENGES; 1.2.1 Influencing Disciplines; 1.3 BIRTH AND EVOLUTION OF REAL-TIME SYSTEMS; 1.3.1 Diversifying Applications; 1.3.2 Advancements behind Modern Real-Time Systems; 1.4 SUMMARY; 1.5 EXERCISES; REFERENCES; 2: HARDWARE FOR REAL-TIME SYSTEMS; 2.1 BASIC PROCESSOR ARCHITECTURE
2.1.1 Von Neumann Architecture2.1.2 Instruction Processing; 2.1.3 Input/Output and Interrupt Considerations; 2.2 MEMORY TECHNOLOGIES; 2.2.1 Different Classes of Memory; 2.2.2 Memory Access and Layout Issues; 2.2.3 Hierarchical Memory Organization; 2.3 ARCHITECTURAL ADVANCEMENTS; 2.3.1 Pipelined Instruction Processing; 2.3.2 Superscalar and Very Long Instruction Word Architectures; 2.3.3 Multi-Core Processors; 2.3.4 Complex Instruction Set versus Reduced Instruction Set; 2.4 PERIPHERAL INTERFACING; 2.4.1 Interrupt-Driven Input/Output; 2.4.2 Direct Memory Access
2.4.3 Analog and Digital Input/Output2.5 MICROPROCESSOR VERSUS MICROCONTROLLER; 2.5.1 Microprocessors; 2.5.2 Standard Microcontrollers; 2.5.3 Custom Microcontrollers; 2.6 DISTRIBUTED REAL-TIME ARCHITECTURES; 2.6.1 Fieldbus Networks; 2.6.2 Time-Triggered Architectures; 2.7 SUMMARY; 2.8 EXERCISES; REFERENCES; 3: REAL-TIME OPERATING SYSTEMS; 3.1 FROM PSEUDOKERNELS TO OPERATING SYSTEMS; 3.1.1 Miscellaneous Pseudokernels; 3.1.2 Interrupt-Only Systems; 3.1.3 Preemptive Priority Systems; 3.1.4 Hybrid Scheduling Systems; 3.1.5 The Task Control Block Model; 3.2 THEORETICAL FOUNDATIONS OF SCHEDULING
3.2.1 Scheduling Framework3.2.2 Round-Robin Scheduling; 3.2.3 Cyclic Code Scheduling; 3.2.4 Fixed-Priority Scheduling: Rate-Monotonic Approach; 3.2.5 Dynamic Priority Scheduling: Earliest Deadline First Approach; 3.3 SYSTEM SERVICES FOR APPLICATION PROGRAMS; 3.3.1 Linear Buffers; 3.3.2 Ring Buffers; 3.3.3 Mailboxes; 3.3.4 Semaphores; 3.3.5 Deadlock and Starvation Problems; 3.3.6 Priority Inversion Problem; 3.3.7 Timer and Clock Services; 3.3.8 Application Study: A Real-Time Structure; 3.4 MEMORY MANAGEMENT ISSUES; 3.4.1 Stack and Task Control Block Management; 3.4.2 Multiple-Stack Arrangement
3.4.3 Memory Management in the Task Control Block Model3.4.4 Swapping, Overlaying, and Paging; 3.5 SELECTING REAL-TIME OPERATING SYSTEMS; 3.5.1 Buying versus Building; 3.5.2 Selection Criteria and a Metric for Commercial Real-Time Operating Systems; 3.5.3 Case Study: Selecting a Commercial Real-Time Operating System; 3.5.4 Supplementary Criteria for Multi-Core and Energy-Aware Support; 3.6 SUMMARY; 3.7 EXERCISES; REFERENCES; 4: PROGRAMMING LANGUAGES FOR REAL-TIME SYSTEMS; 4.1 CODING OF REAL-TIME SOFTWARE; 4.1.1 Fitness of a Programming Language for Real-Time Applications
4.1.2 Coding Standards for Real-Time Software
Record Nr. UNINA-9910141180303321
Laplante Phillip A  
Hoboken, NJ, : Wiley-IEEE Press, c2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Real-time systems design and analysis [[electronic resource] ] : tools for the practitioner / / Phillip A. Laplante, Seppo J. Ovaska
Real-time systems design and analysis [[electronic resource] ] : tools for the practitioner / / Phillip A. Laplante, Seppo J. Ovaska
Autore Laplante Phillip A
Edizione [4th ed.]
Pubbl/distr/stampa Hoboken, NJ, : Wiley-IEEE Press, c2012
Descrizione fisica 1 online resource (584 p.)
Disciplina 004.33
Altri autori (Persone) OvaskaSeppo J. <1956->
Soggetto topico Real-time data processing
System design
ISBN 1-283-33228-0
9786613332288
1-118-13659-4
1-118-13657-8
Classificazione SCI067000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto REAL-TIME SYSTEMS DESIGN AND ANALYSIS: Tools for the Practitioner, Fourth Edition; CONTENTS; PREFACE; ACKNOWLEDGMENTS; 1: FUNDAMENTALS OF REAL-TIME SYSTEMS; 1.1 CONCEPTS AND MISCONCEPTIONS; 1.1.1 Definitions for Real-Time Systems; 1.1.2 Usual Misconceptions; 1.2 MULTIDISCIPLINARY DESIGN CHALLENGES; 1.2.1 Influencing Disciplines; 1.3 BIRTH AND EVOLUTION OF REAL-TIME SYSTEMS; 1.3.1 Diversifying Applications; 1.3.2 Advancements behind Modern Real-Time Systems; 1.4 SUMMARY; 1.5 EXERCISES; REFERENCES; 2: HARDWARE FOR REAL-TIME SYSTEMS; 2.1 BASIC PROCESSOR ARCHITECTURE
2.1.1 Von Neumann Architecture2.1.2 Instruction Processing; 2.1.3 Input/Output and Interrupt Considerations; 2.2 MEMORY TECHNOLOGIES; 2.2.1 Different Classes of Memory; 2.2.2 Memory Access and Layout Issues; 2.2.3 Hierarchical Memory Organization; 2.3 ARCHITECTURAL ADVANCEMENTS; 2.3.1 Pipelined Instruction Processing; 2.3.2 Superscalar and Very Long Instruction Word Architectures; 2.3.3 Multi-Core Processors; 2.3.4 Complex Instruction Set versus Reduced Instruction Set; 2.4 PERIPHERAL INTERFACING; 2.4.1 Interrupt-Driven Input/Output; 2.4.2 Direct Memory Access
2.4.3 Analog and Digital Input/Output2.5 MICROPROCESSOR VERSUS MICROCONTROLLER; 2.5.1 Microprocessors; 2.5.2 Standard Microcontrollers; 2.5.3 Custom Microcontrollers; 2.6 DISTRIBUTED REAL-TIME ARCHITECTURES; 2.6.1 Fieldbus Networks; 2.6.2 Time-Triggered Architectures; 2.7 SUMMARY; 2.8 EXERCISES; REFERENCES; 3: REAL-TIME OPERATING SYSTEMS; 3.1 FROM PSEUDOKERNELS TO OPERATING SYSTEMS; 3.1.1 Miscellaneous Pseudokernels; 3.1.2 Interrupt-Only Systems; 3.1.3 Preemptive Priority Systems; 3.1.4 Hybrid Scheduling Systems; 3.1.5 The Task Control Block Model; 3.2 THEORETICAL FOUNDATIONS OF SCHEDULING
3.2.1 Scheduling Framework3.2.2 Round-Robin Scheduling; 3.2.3 Cyclic Code Scheduling; 3.2.4 Fixed-Priority Scheduling: Rate-Monotonic Approach; 3.2.5 Dynamic Priority Scheduling: Earliest Deadline First Approach; 3.3 SYSTEM SERVICES FOR APPLICATION PROGRAMS; 3.3.1 Linear Buffers; 3.3.2 Ring Buffers; 3.3.3 Mailboxes; 3.3.4 Semaphores; 3.3.5 Deadlock and Starvation Problems; 3.3.6 Priority Inversion Problem; 3.3.7 Timer and Clock Services; 3.3.8 Application Study: A Real-Time Structure; 3.4 MEMORY MANAGEMENT ISSUES; 3.4.1 Stack and Task Control Block Management; 3.4.2 Multiple-Stack Arrangement
3.4.3 Memory Management in the Task Control Block Model3.4.4 Swapping, Overlaying, and Paging; 3.5 SELECTING REAL-TIME OPERATING SYSTEMS; 3.5.1 Buying versus Building; 3.5.2 Selection Criteria and a Metric for Commercial Real-Time Operating Systems; 3.5.3 Case Study: Selecting a Commercial Real-Time Operating System; 3.5.4 Supplementary Criteria for Multi-Core and Energy-Aware Support; 3.6 SUMMARY; 3.7 EXERCISES; REFERENCES; 4: PROGRAMMING LANGUAGES FOR REAL-TIME SYSTEMS; 4.1 CODING OF REAL-TIME SOFTWARE; 4.1.1 Fitness of a Programming Language for Real-Time Applications
4.1.2 Coding Standards for Real-Time Software
Record Nr. UNINA-9910830095303321
Laplante Phillip A  
Hoboken, NJ, : Wiley-IEEE Press, c2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Real-time systems design and analysis : tools for the practitioner / / Phillip A. Laplante, Seppo J. Ovaska
Real-time systems design and analysis : tools for the practitioner / / Phillip A. Laplante, Seppo J. Ovaska
Autore Laplante Phillip A
Edizione [4th ed.]
Pubbl/distr/stampa Hoboken, NJ, : Wiley-IEEE Press, c2012
Descrizione fisica 1 online resource (584 p.)
Disciplina 004/.33
Altri autori (Persone) OvaskaSeppo J. <1956->
Soggetto topico Real-time data processing
System design
ISBN 9786613332288
9781283332286
1283332280
9781118136591
1118136594
9781118136577
1118136578
Classificazione SCI067000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto REAL-TIME SYSTEMS DESIGN AND ANALYSIS: Tools for the Practitioner, Fourth Edition; CONTENTS; PREFACE; ACKNOWLEDGMENTS; 1: FUNDAMENTALS OF REAL-TIME SYSTEMS; 1.1 CONCEPTS AND MISCONCEPTIONS; 1.1.1 Definitions for Real-Time Systems; 1.1.2 Usual Misconceptions; 1.2 MULTIDISCIPLINARY DESIGN CHALLENGES; 1.2.1 Influencing Disciplines; 1.3 BIRTH AND EVOLUTION OF REAL-TIME SYSTEMS; 1.3.1 Diversifying Applications; 1.3.2 Advancements behind Modern Real-Time Systems; 1.4 SUMMARY; 1.5 EXERCISES; REFERENCES; 2: HARDWARE FOR REAL-TIME SYSTEMS; 2.1 BASIC PROCESSOR ARCHITECTURE
2.1.1 Von Neumann Architecture2.1.2 Instruction Processing; 2.1.3 Input/Output and Interrupt Considerations; 2.2 MEMORY TECHNOLOGIES; 2.2.1 Different Classes of Memory; 2.2.2 Memory Access and Layout Issues; 2.2.3 Hierarchical Memory Organization; 2.3 ARCHITECTURAL ADVANCEMENTS; 2.3.1 Pipelined Instruction Processing; 2.3.2 Superscalar and Very Long Instruction Word Architectures; 2.3.3 Multi-Core Processors; 2.3.4 Complex Instruction Set versus Reduced Instruction Set; 2.4 PERIPHERAL INTERFACING; 2.4.1 Interrupt-Driven Input/Output; 2.4.2 Direct Memory Access
2.4.3 Analog and Digital Input/Output2.5 MICROPROCESSOR VERSUS MICROCONTROLLER; 2.5.1 Microprocessors; 2.5.2 Standard Microcontrollers; 2.5.3 Custom Microcontrollers; 2.6 DISTRIBUTED REAL-TIME ARCHITECTURES; 2.6.1 Fieldbus Networks; 2.6.2 Time-Triggered Architectures; 2.7 SUMMARY; 2.8 EXERCISES; REFERENCES; 3: REAL-TIME OPERATING SYSTEMS; 3.1 FROM PSEUDOKERNELS TO OPERATING SYSTEMS; 3.1.1 Miscellaneous Pseudokernels; 3.1.2 Interrupt-Only Systems; 3.1.3 Preemptive Priority Systems; 3.1.4 Hybrid Scheduling Systems; 3.1.5 The Task Control Block Model; 3.2 THEORETICAL FOUNDATIONS OF SCHEDULING
3.2.1 Scheduling Framework3.2.2 Round-Robin Scheduling; 3.2.3 Cyclic Code Scheduling; 3.2.4 Fixed-Priority Scheduling: Rate-Monotonic Approach; 3.2.5 Dynamic Priority Scheduling: Earliest Deadline First Approach; 3.3 SYSTEM SERVICES FOR APPLICATION PROGRAMS; 3.3.1 Linear Buffers; 3.3.2 Ring Buffers; 3.3.3 Mailboxes; 3.3.4 Semaphores; 3.3.5 Deadlock and Starvation Problems; 3.3.6 Priority Inversion Problem; 3.3.7 Timer and Clock Services; 3.3.8 Application Study: A Real-Time Structure; 3.4 MEMORY MANAGEMENT ISSUES; 3.4.1 Stack and Task Control Block Management; 3.4.2 Multiple-Stack Arrangement
3.4.3 Memory Management in the Task Control Block Model3.4.4 Swapping, Overlaying, and Paging; 3.5 SELECTING REAL-TIME OPERATING SYSTEMS; 3.5.1 Buying versus Building; 3.5.2 Selection Criteria and a Metric for Commercial Real-Time Operating Systems; 3.5.3 Case Study: Selecting a Commercial Real-Time Operating System; 3.5.4 Supplementary Criteria for Multi-Core and Energy-Aware Support; 3.6 SUMMARY; 3.7 EXERCISES; REFERENCES; 4: PROGRAMMING LANGUAGES FOR REAL-TIME SYSTEMS; 4.1 CODING OF REAL-TIME SOFTWARE; 4.1.1 Fitness of a Programming Language for Real-Time Applications
4.1.2 Coding Standards for Real-Time Software
Record Nr. UNINA-9911019349803321
Laplante Phillip A  
Hoboken, NJ, : Wiley-IEEE Press, c2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui