Trends in Applied Intelligent Systems, 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA AIE 2010, Cordoba, Spain, June 1-4, 2010, Proceedings, Part III

Cover......Page 1
Lecture Notes in Artificial Intelligence 6098......Page 2
Trends in Applied Intelligent Systems, Part III......Page 3
ISBN-13 9783642130328......Page 4
Preface......Page 6
Conference Organization......Page 8
Table of Contents – Part III......Page 14
Introduction......Page 22
Binary Logistic Regression (LR)......Page 24
Logistic Regression Using Initial Covariates and Product Units (LRIPU) and Radial Basis Functions (LRIRBF)......Page 25
Alternative Statistical and Artificial Intelligence Methods Used for Comparison Purposes......Page 26
Results......Page 27
Discussion......Page 28
Conclusions......Page 30
Introduction......Page 32
Method......Page 33
Evaluation Parameters......Page 34
Training Strategies......Page 35
Results on the Target Platform......Page 37
Classifier Selection......Page 39
Conclusion......Page 41
Introduction......Page 42
Normal Behavior Models......Page 43
Anomaly Detection by the Normal Behavior Models and Stress Evaluation......Page 47
Detection of Anomalous Behavior in Circuit Breakers by Self-organised Maps......Page 49
Conclusions......Page 50
References......Page 51
Introduction......Page 52
Model Reference Adaptive Control......Page 53
Neural Networks......Page 54
Genetics Algorithms......Page 55
Proposed Scheme......Page 56
Experiments and Results......Page 58
References......Page 61
Introduction......Page 63
Language Learning Model......Page 64
Experimental Procedure......Page 67
Results......Page 68
Analysis......Page 69
Conclusion......Page 71
Introduction......Page 73
Model Predictive Control Algorithms......Page 74
Step Response Neural Models......Page 75
Optimisation of the Control Policy......Page 77
Simulation Results......Page 79
Conclusions......Page 81
Introduction......Page 83
Classical Gene Ranking Techniques......Page 84
Fuzzy Gene Filter......Page 85
Comparative Metrics......Page 88
Cross-Validation......Page 89
Results......Page 90
Conclusion......Page 91
Introduction......Page 93
The Multi-agent System for Safety Critical Processes......Page 94
The Three-Tier NM Organisational Model......Page 97
Conclusion and Future Plans......Page 101
Introduction......Page 103
Modular Multi-Relational Framework Applied to Yeast Complex Function Prediction......Page 105
Experimental Design......Page 108
Results and Analysis......Page 109
Conclusions and Further Work......Page 111
Introduction......Page 113
Endosperm of $Brassica napus$......Page 114
Defense Response in $Arabidopsis thaliana$......Page 115
Endosperm of $Brassica napus$......Page 116
Defense Response in $Arabidopsis thaliana$......Page 117
Discussion and Conclusion......Page 119
References......Page 121
Introduction......Page 123
A Multi-strategy Approach with Integration of Prior Knowledge......Page 124
Transcriptomics and Proteomics Integration: A Framework Using Global Proteomic Discovery to Complement Transcriptomics Discovery......Page 127
Integrative Data Analysis for Gene Set Biomarker and Disease Target Discovery......Page 129
References......Page 130
Introduction......Page 133
System Description......Page 135
3D Synapse Segmentation......Page 136
3D Synapse Reconstruction......Page 137
Conclusions and Future Work......Page 138
Introduction......Page 140
RDD Characteristics......Page 141
Data Collection......Page 142
Annotation......Page 143
Mining......Page 144
Post-processing......Page 145
Application and Results......Page 146
Conclusions and Future Work......Page 147
Introduction......Page 150
Methodological Approach......Page 152
Dendrite Sampler......Page 153
Model Construction......Page 154
Experimental Results......Page 156
Conclusions......Page 157
Introduction......Page 160
Clustering Quality Evaluation and Cluster Labeling......Page 162
First Experiments and Results......Page 164
Novel Adaptations of the IGNG and I2GNG Algorithms......Page 167
Conclusion......Page 168
References......Page 169
Introduction......Page 170
Networks......Page 171
Probabilistic Modeling of Network Sets......Page 172
Optimization......Page 173
Classification......Page 174
Optimization......Page 175
Applications to Inference Problems......Page 176
Conclusion and Future Work......Page 177
Introduction......Page 180
The Generalized Neuromorphic Computing Unit......Page 181
Neuromorphic Hierarchical Architecture for Speech Processing......Page 185
Results......Page 186
References......Page 188
Introduction......Page 190
Problem Description......Page 191
Genetic Algorithm......Page 195
Case Study and Experimental Results......Page 197
Conclusions and Future Work......Page 198
Introduction......Page 200
Problem Description and Literature......Page 201
Lower Bound......Page 203
Branch-and-Bound Algorithm......Page 206
Computational Experiments......Page 207
Conclusions......Page 208
Introduction......Page 210
Problem Formulation......Page 211
Problem Formulation of the ATSS Model......Page 212
The Lagrangean Relaxation-Based Algorithm......Page 213
The Lagrangean Relaxation Problem......Page 214
Getting Primal Feasible Solutions......Page 215
Computation Experiments with the ATSS Model......Page 216
Discussion of Results......Page 217
Conclusion......Page 218
References......Page 219
Introduction......Page 220
Contributions and Paper Organization......Page 221
Related Work......Page 222
Kalman Filter Based Solution to Non-Stationary Normal Bandit Problems (KF-MANB)......Page 223
Empirical Results......Page 225
Conclusion and Further Work......Page 228
Introduction......Page 230
Modeling the Problem......Page 232
A LA-Based Solution to the $ATTP$......Page 233
The Decision Making Phase......Page 236
Experimental Results......Page 237
Immunity to the Proportion of Fair Agents......Page 238
Conclusion......Page 239
AC2001-OP: An Arc-Consistency Algorithm for Constraint Satisfaction Problems......Page 240
Definitions......Page 241
AC2001/3.1......Page 242
AC2001-OP......Page 243
Experimental Results......Page 245
Domain-Oriented Benchmark Problems......Page 246
Random Problems......Page 248
Conclusions......Page 249
Introduction......Page 250
A NFC Model for City Navigation......Page 252
Augmented Environments with Smart Posters......Page 254
Application to Tourism Surfing at Cordoba City......Page 255
Discussion and Remarks......Page 257
References......Page 258
Introduction......Page 260
Round-Table Interface......Page 261
Focusing Intention for Utterances......Page 262
System Operation......Page 264
Experimental Result......Page 266
References......Page 268
Introduction......Page 270
Modeling and Classifying the Bowed String......Page 272
Context-Dependent Error Correction......Page 273
Rule 3: Consistency of Bowed Strings on a Mordent......Page 274
Formulation of the Fingering Estimation Problem......Page 275
Features......Page 276
Experiments......Page 277
Experiment 2: Playability of Fingering Estimator......Page 278
Conclusion......Page 279
Introduction......Page 281
Related Work......Page 283
Assumptions and Definitions......Page 284
KNN Boundary Estimation Phase......Page 285
Pre-routing Phase......Page 286
Simulation and Evaluation......Page 287
Query Latency and Energy Consumption......Page 288
Conclusion......Page 289
References......Page 290
Plug-In Hybrid Electric Vehicle......Page 292
Structure of Proposed PHEV System......Page 293
Directed Graphs......Page 294
Rotatable Solar Panel Control by Using Petri Nets Method......Page 295
Dynamic Behavior of Dominant Directed Graph......Page 297
Dynamic Behavior of Proposed Petri Nets......Page 298
Case Study under Light Load Condition......Page 299
Conclusion......Page 300
References......Page 301
Introduction......Page 302
System Architecture......Page 304
Autonomous Fault Tolerant Surveillance Operation......Page 306
Implementation Results......Page 308
Conclusions......Page 309
Introduction......Page 312
Architecture of the CBIR System......Page 313
Configuring the DICOM Viewer for Flexible Querying......Page 315
Measuring Cobb Angles......Page 316
Performing Flexible Queries......Page 318
Concluding Remarks and Future Work......Page 320
Introduction......Page 322
Background......Page 323
Processing......Page 324
Postprocessing......Page 325
Parameters of the Model......Page 326
Experimental Results......Page 327
Conclusions......Page 329
Future Research......Page 330
Introduction......Page 332
Web-based Interaction for Sharing Public Concerns......Page 334
Design of Salience Metric......Page 335
Design of Graphical User Interface (GUI)......Page 337
Evaluation of Salience Metric......Page 338
Concluding Remarks......Page 339
Introduction......Page 342
Baseline Approach for Qualitative Categorisation and Retrieval......Page 344
Experiments......Page 345
Results......Page 347
Conclusion......Page 350
Introduction......Page 352
Preprocessing Cartridge Images......Page 354
Statistical Texture Features and Circle Moment Invariants......Page 355
Circle Moment Invariants......Page 356
Neural Network Based Classification System......Page 358
Experimental Results......Page 359
Conclusion and Future Work......Page 360
References......Page 361
Proposed Methodology......Page 362
Algorithm Description......Page 364
Results and Evaluation......Page 365
Conclusions and Future Work......Page 369
Introduction......Page 371
Dominant Point Detection......Page 372
Efficiency of Dominant Points Detectors......Page 373
Proposed Method......Page 374
Experimental Results......Page 375
Conclusions......Page 378
Introduction......Page 380
Zernike Moment Invariants in Pattern Recognition......Page 381
The Proposed Method......Page 382
Experimental Design......Page 384
Intra-class Analysis......Page 385
Inter-class Analysis......Page 387
References......Page 388
Introduction......Page 390
Stereo Matching for Color Images......Page 391
Aggregation Functions......Page 393
Experimental Results......Page 395
Conclusions and Future Research......Page 398
Introduction......Page 400
Algorithm Description......Page 401
Experimental Results......Page 405
Conclusions......Page 407
References......Page 408
Introduction......Page 410
A Brief Outline of LIP......Page 411
Architecture......Page 412
LIP-Canny Using a Traditional Operators' Approach......Page 413
LIP-Canny Using a Modified Operators' Approach......Page 415
Results......Page 416
Conclusions......Page 418
Introduction......Page 420
Local Reduction Operators......Page 421
Image Reduction Algorithm......Page 422
Construction of Weak Local Reduction Operators from Averaging Functions......Page 423
Weighted Quasi Arithmetic Means......Page 424
Median......Page 426
Experimental Results......Page 427
Conclusions......Page 429
Introduction......Page 430
Content-Based Recommender Systems......Page 431
Feature Weighting in CBRS......Page 432
Feature Weighting Based on Entropy and Dependency Measures......Page 433
Inter-user Similarity......Page 434
Intra-user Similarity......Page 435
Example......Page 437
Conclusions and Future Works......Page 438
Introduction......Page 440
VDS Outline......Page 442
Virtual Doctor System (VDS) Reasoning Engine......Page 443
Implementation Aspects......Page 446
References......Page 448
Introduction......Page 450
Related Work......Page 451
Definition of the Query Subsystem......Page 452
Definition of the Filtering Subsystem......Page 455
Evaluation of the Atomic Atoms......Page 457
Conclusions and Future Works......Page 458
Introduction......Page 460
Web Usage Mining in Academic Computing......Page 461
A Multi-instance Perspective......Page 462
The Proposed Model for Using Web Usage Mining in Education Data......Page 463
Individual Representation......Page 464
Evolutionary Algorithm......Page 465
Results and Discussion......Page 466
Determining Activities That Improve the Learning Process......Page 467
Conclusion......Page 469
Introduction......Page 471
Aggregation Operators......Page 472
Trust Score Propagation......Page 473
Properties......Page 474
Aggregation Operators......Page 475
Application to Trust Networks......Page 477
Aggregation without a Central Authority......Page 478
Conclusion and Future Work......Page 479
Introduction......Page 481
Upper Ontologies: Semantic Models of Services and People......Page 483
Emergency Resource Plans Based on Fuzzy Cognitive Maps......Page 486
Scenario Description: Airplane Accident......Page 488
Conclusions and Future Works......Page 489
Introduction......Page 491
ART Testbed......Page 492
Repeated Game Definition to Find a ESS in ART......Page 494
Finding a ESS among 2007 ART Competitors......Page 495
Conclusions......Page 497
Introduction......Page 499
Recommender Systems......Page 500
Problem Description: Recommending News......Page 503
The Input Data: The “Ahora” Data Set......Page 504
Evaluation......Page 505
References......Page 507
Introduction......Page 509
Ontology Learning......Page 510
Tools......Page 511
Experiments......Page 512
Results......Page 513
Similarity of the Terms Proposed by the Experiments......Page 514
Semantics of the Terms Proposed......Page 515
Conclusions......Page 516
References......Page 517
Introduction......Page 519
General Problem Definition......Page 520
Local Approach Problem Definition......Page 521
Solution Proposal......Page 522
Threshold Choosing Technique......Page 523
Experimental Algorithm Design and Validation......Page 525
Initial Validation Overview......Page 526
Conclusions......Page 527
References......Page 528
Introduction......Page 529
Propossed Approach......Page 530
Leg Detection Unit......Page 531
Kalman Filter Unit......Page 532
Stereo Camera Unit......Page 533
Control Unit......Page 535
Experimental Set-Up and Results......Page 536
Conclusions and Future Work......Page 537
Introduction......Page 539
Structure of Type-2 Fuzzy Wavelet Neural System......Page 541
Parameter Update Rules......Page 543
Simulation......Page 546
References......Page 547
Background......Page 549
Previous Approaches......Page 550
GA Representation......Page 551
Snake Blockers......Page 552
Setup......Page 553
Representation Results......Page 554
Snake Blocker Results......Page 556
References......Page 557
Introduction......Page 559
Boids SI Parameters......Page 560
Percolation Thresholds in Boids SI......Page 562
Conclusions......Page 566
Introduction......Page 567
Real Pipeline Network......Page 568
The Sequencing Problem......Page 570
Individual Representation (Solution Codification)......Page 572
Simulated Results......Page 573
References......Page 575
Introduction......Page 577
Temporal Bounded Case-Based Planner Agent......Page 578
Case Study: Multi-Agent System to Monitor Staff in a Industrial Environment......Page 581
Retrieve Stage......Page 582
Reuse Stage......Page 583
Results and Conclusions......Page 584
References......Page 586
Introduction......Page 587
Improved Operators Proposal......Page 588
Encoding-Decoding Operator......Page 589
Problem Description......Page 590
Design Condition Imposition......Page 591
Obtained Solution Speed: Sensibility to the Algotihm Parameters......Page 592
Comparison with Other Algorithms......Page 594
Conclusions......Page 595
Introduction......Page 597
Problem Formulation......Page 599
PAE: The Evolutionary Tool......Page 600
Experiments and Results......Page 602
Computational Analysis......Page 603
 Conclusions......Page 605
Introduction......Page 607
Problem Definition......Page 608
Optimality Measures......Page 609
Fitness Function......Page 610
Mutation......Page 611
Experiments and Results......Page 612
Related Work......Page 614
Conclusions and Future Work......Page 615
Introduction......Page 617
Foundations......Page 618
Steps in the Prediction Procedure......Page 620
Selection of Input Data......Page 622
A Practical Case......Page 623
Conclusions......Page 625
Introduction......Page 627
The Proposed Framework for System Modelling......Page 628
Evaluation of Solar Plants Using Multilayer Artificial Neural Networks......Page 629
Examples of Developed Systems......Page 633
Conclusions......Page 635
Introduction......Page 637
Theoretical Background......Page 638
Example of a Fuzzy Data Warehouse......Page 640
Data Aggregation and Filtering Groups in FDW......Page 641
Concluding Remarks......Page 645
References......Page 646
 Introduction......Page 647
 Stochastic Chaotic Simulated Annealing......Page 649
Minimizing Interference Using Stochastic Chaotic Simulated Annealing......Page 650
 Simulation Results......Page 651
 Conclusions......Page 656
Introduction......Page 657
Spanish Regulations and the Problem Description......Page 658
A Neural Implementation of Exploratory Projection Pursuit......Page 659
The ANN in the Identification Process......Page 660
Thermal Dynamics Data Gathering by Means of Simulation......Page 661
System Identification Applied to Model Normal Building Operation......Page 662
Experimentation and Results......Page 663
References......Page 665
Introduction......Page 667
Accuracy and Sensitivity......Page 668
Base Classifier Framework......Page 669
Memetic Pareto Algorithm......Page 670
Local Search Algorithm......Page 671
Experiments......Page 672
Results......Page 673
Conclusions......Page 675
Introduction......Page 677
The Time and Space Assembly Line Balancing Problem......Page 678
First Stage: Generation of Randomised Greedy Solutions......Page 679
Second Stage: Multiobjective Local Search......Page 680
Problem Instances and Parameter Values......Page 681
Analysis of Results......Page 683
Concluding Remarks and Future Works......Page 686
Author Index......Page 688