Knowledge-Based Intelligent Information and Engineering Systems: 9th International Conference, KES 2005, Melbourne, Australia, September 14-16, 2005, Proceedings, Pt. 3

The four volume set LNAI 3681, LNAI 3682, LNAI 3683, and LNAI 3684 constitute the refereed proceedings of the 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005, held in Melbourne, Australia in September 2005. The 716 revised papers presented were carefully reviewed and selected from nearly 1400 submissions. The papers present a wealth of original research results from the field of intelligent information processing in the broadest sense. The third volume is organized in topical sections on intelligent agent ontologies and environments, intelligent multimedia solutions and the security in the next generation mobile networks, intelligent email analysis, news extraction and web mining, semantic integration and ontologies, computer vision, image processing and retrieval, communicative intelligence, approaches and methods to security engineering, multimedia retrieval, multimedia compression, multimedia signal processing, emergence and self-organisation in complex systems, soft computing techniques and their applications, information engineering and ubiquitous computing, location and context-based systems, e-based systems in education, commerce and health, computational biology and bioinformatics, complex adaptive systems, speech processing and robotics, data mining and soft computing applications, multimedia security and stegnography, stegnography, soft computing approach to industrial engineering, medical text mining and natural language processing, knowledge based intelligent systems for health care, intelligent learning environment, and intelligent data analysis and applications. Title......Page 1 Preface......Page 4 KES 2005 Conference Organization......Page 6 International Program Committee......Page 8 Invited Session Chairs Committee......Page 10 IIHMSPWorkshop Organization Committee......Page 12 IIHMSPWorkshop Technical Committee......Page 14 KES 2005 Reviewers......Page 15 KES 2005 Keynote Speakers......Page 21 Table of Contents, Part III......Page 22 Table of Contents, Part IV......Page 37 Table of Contents, Part I......Page 47 Table of Contents, Part II......Page 62 1 Introduction......Page 77 2 Scenario and Ontology Definition......Page 78 3.1 Process Algebra as Interaction Model......Page 79 3.2 Negotiation Mechanisms......Page 80 3.3 Agent Interaction......Page 81 4 Strategy Profile in VO......Page 82 References......Page 83 1 Introduction......Page 84 2 A New Approach for Modeling Collaborative Agents......Page 86 3 Modeling Collaborative Agents......Page 87 4 Application Scenario of the Proposed Approach......Page 89 References......Page 90 1 Introduction......Page 92 3 Reinforcement in Environment with Distributed Agents......Page 93 4 Route Selection Model Based on Intelligent Agents......Page 95 5 Results......Page 96 References......Page 98 1 Introduction......Page 99 2 Delegation......Page 100 3 Payoff: $\{ \nu_{i} \}$......Page 101 4 Rank: $\{P(X_{i}\gg)\}$......Page 102 5 Strategy: $\{P_{i} \}$......Page 104 References......Page 105 1 Introduction......Page 106 2 The Agent Model......Page 107 3 The Learning Model......Page 108 4 Discussion......Page 111 References......Page 112 1 Introduction......Page 113 3 Data-Intensive Web Sites (DIWS)......Page 114 5.1 Data Integration......Page 115 5.3.1 Distribution......Page 116 5.3.2 Caching......Page 117 References......Page 118 1 Introduction......Page 122 2 Object Oriented Probabilistic Relational Models......Page 124 3.1 PRM Inferencing Techniques......Page 125 3.2 OPRM Inferencing Techniques......Page 126 3.3 Comparison......Page 127 References......Page 128 1 Introduction......Page 130 2.1 Overview of ARP......Page 131 2.2 Mechanism of ARP Cache......Page 132 3 Network Service Access Control Framework......Page 133 3.1 Overall Architecture......Page 134 3.2 Network Blocking Algorithm......Page 135 4 Conclusions......Page 136 References......Page 137 1 Introduction......Page 138 2.1 Background Discriminant Transformation (BDT)......Page 139 3 3-D Building Reconstruction......Page 140 4 Experiments and Results......Page 141 5 Conclusions......Page 143 References......Page 144 1 Introduction......Page 145 3 Characteristics of Field Data......Page 146 4 Algorithm......Page 147 5 Concluding Remarks......Page 148 References......Page 149 1 Introduction......Page 150 3.1 System Model......Page 151 3.2 Algorism for Identifying Users......Page 152 4 Experimental Evaluation......Page 154 References......Page 156 2 Literature Review......Page 157 3.1 Determination of Optimal Locations for VMS's......Page 158 3.2 Optimal Number of VMS's......Page 159 4.3 Traffic Volume Conversion......Page 160 4.5 Locations and Numbers of VMS's......Page 161 References......Page 162 1 Introduction......Page 163 2.2 Clustering Algorithm......Page 165 2.3 Radio Energy Consumption Model......Page 166 3 Estimation of the Optimal Number of Cluster-Heads......Page 167 4 A Simulation Study......Page 168 5 Conclusion......Page 169 References......Page 170 1 Introduction......Page 171 4 Contents of Event......Page 172 5.2 Data Processing......Page 173 6.2 Types of Traffic Information......Page 174 7 Conclusion......Page 175 References......Page 176 2 Related Work......Page 177 3 Proposed Migration Model......Page 178 4 Implementation......Page 180 References......Page 182 2 Related Work......Page 183 3.2 Clustering User Groups Using the Access Path Similarity......Page 184 4 Example......Page 185 5 Conclusions......Page 186 References......Page 187 1 Introduction......Page 188 3 Data Collection......Page 189 3.2 Scanning of the News Articles by NewsAglet......Page 190 4 Insight Classification Scheme......Page 191 5 Experimental Results......Page 192 6 Conclusion and Future Work......Page 194 References......Page 195 1 Introduction......Page 197 2 Web Data Acquisition......Page 198 3 An Incremental FP-Growth Algorithm......Page 199 5 Application......Page 201 6 Conclusion......Page 202 References......Page 203 1 Introduction......Page 204 2.1 Similarity Measure......Page 205 2.1.2 Neural Weight Generator......Page 206 2.1.3 Time-Series Measure Function......Page 207 3 Experimental Results and Analysis......Page 208 4 Conclusion and Future Works......Page 209 References......Page 210 1 Introduction......Page 211 3.1 Term Frequency Measurement......Page 212 3.2.3 Mapping Keyword-Pairs to Concept Hierarchy......Page 213 4 Mining Fuzzy Association Rule for Predictive Cases Selection......Page 214 References......Page 215 1 Introduction......Page 217 2.1.1 Single Classifier Approach......Page 218 2.2.4 Overall Comparisons......Page 219 3.2 Mutual Information for Feature Grouping......Page 220 4 Experimental Results......Page 221 Reference......Page 223 2 Related Work......Page 225 3.2 Web Spider......Page 226 3.3 News Extraction......Page 228 3.4.2 Sentence Weighting......Page 230 5 Conclusion......Page 231 References......Page 232 2 Related Works......Page 233 3 Procedures to Integrate MPEG-7 MDS and TV-AnyTime Metadata......Page 234 4 SM Ontology......Page 235 5.1 Application Layer......Page 236 5.2 Mediation Layer......Page 237 References......Page 238 1 Background and Motivation......Page 239 2 Related Works......Page 240 3 Comparisons of Information Models......Page 241 4 Mapping Information Models and System Architecture......Page 243 References......Page 245 1 Introduction......Page 246 2 Hybrid Keyword Search......Page 247 2.1 Case Study: Hybrid Paper Search......Page 248 3 Data Integration Hub for Hybrid Search......Page 249 References......Page 252 1 Introduction......Page 253 2 Related Research......Page 254 3 Suggested Method for Ontology Mapping......Page 255 4 Simulation and Result......Page 256 5 Conclusion......Page 258 References......Page 259 1 Introduction......Page 260 3.1.1 Searching and Classifying Instances......Page 261 3.2.3 Construction of the Ontologies......Page 262 3.3 The Semantic Adaptation Module......Page 263 3.5 Design Review Walkthrough Module......Page 264 4 Case Study . A Chemical Plant, Statistics and Results......Page 265 References......Page 266 1 Introduction......Page 267 2.2 Using Contextual Ontologies Within EIS......Page 268 3.1 EISCO Architecture......Page 269 3.1.2 EISCO Core Service......Page 270 3.1.2.2 Applications Integrator......Page 271 3.2 Scenarios of Use......Page 272 3.3 Implementation of EISCO Project......Page 273 References......Page 274 1 Introduction......Page 275 2 A Framework of Mapping Fuzzy Concept......Page 276 3 An Algorithm for the Simplified Least Upper Bounds......Page 277 References......Page 281 1 Introduction......Page 282 2 Modal Analysis......Page 283 3 Shape Similarity Estimation Using Modal Strain Energy......Page 284 4 Results and Discussion......Page 286 References......Page 287 1 Introduction......Page 289 2 Matching Algorithm......Page 290 4 Experimental Results......Page 291 References......Page 294 1 Introduction......Page 295 2 Head Image Tracking......Page 296 3 Stereo Vision for 3-D Pose Information of the Car Occupant......Page 297 4.1 Database and Behavior Patterns......Page 298 4.2 Experiments and Result......Page 299 References......Page 300 1 Introduction......Page 301 2 Multiple Classifications......Page 303 3.1 Pure-Face Formation......Page 304 3.2 Principle Component Analysis (PCA)......Page 305 3.3 Experimental Results......Page 306 References......Page 307 1 Introduction......Page 309 3 ICP-Based Normalization for Shape Comparison......Page 310 5 Experimental Results......Page 312 6 Conclusions and Future Works......Page 314 References......Page 315 1 Introduction......Page 316 2.1 Binary Classification......Page 317 2.2 Dimensionality Condensation......Page 318 3.1 Similarity Compensation......Page 319 3.2 Search Using Condensed Feature Vectors......Page 320 4 Experimental Results......Page 321 5 Conclusion......Page 322 References......Page 323 1 Introduction......Page 324 2.1 Supervised Clustering Method......Page 325 2.2 Detection of Semantic Training Sites Algorithm......Page 326 2.3 Semantic Supervised Clustering (SSC) Algorithm......Page 327 4 Conclusions......Page 328 References......Page 330 2 OWL-QL Query Language......Page 331 3 Query-Answering Web Service......Page 333 4 Conclusions......Page 335 References......Page 336 1 Introduction......Page 337 2 Related Work......Page 338 3 Centralized and Distributed Server Response Shaping......Page 339 5 Evaluation......Page 340 6 Conclusions......Page 342 References......Page 343 1 Introduction......Page 344 2 Problem Characterization......Page 345 3 An Example: Creating a Performance Prediction Model......Page 347 References......Page 349 2 Biological Information Resources......Page 351 3 Integrating Web Services into Agents......Page 352 4 Protein Structural Information System......Page 354 5 Conclusions......Page 356 References......Page 357 1 Introduction......Page 358 3 Learning in the BDI Framework......Page 359 4.1 Discussion......Page 362 5 Related Work......Page 363 References......Page 364 1 Introduction......Page 365 2.1 Opening Communication Situation......Page 366 2.5 Transition of Communication Situations......Page 367 3.1 The Upper Layer......Page 368 4 Implementation......Page 369 5 Conclusion and Discussion......Page 370 References......Page 371 2 Conversation Quantization......Page 372 3 Nature of Conversation Quanta......Page 373 3.1 ANALYSIS 1 (Video A)......Page 374 3.2 ANALYSIS 2 (Video B)......Page 376 5 Conclusion......Page 377 References......Page 378 2 Related Work......Page 379 3 Overview of Proposed Packet Marking Scheme......Page 380 5 Simulation Results and Evaluation......Page 382 6 Conclusion and Future works......Page 384 References......Page 385 1 Introduction......Page 386 2.1 Applicability of Intelligent Control Scheme for Covert Channel-Freeness......Page 387 2.2 Covert Channel-Free Validation Phase Algorithm in MLS/OCC......Page 388 3.2 Orange Locking......Page 389 4.2 Experiment 2: Effect of Write Ratio......Page 390 5 Conclusions......Page 391 References......Page 392 1 Introduction......Page 393 2 New Protocol......Page 394 3 Security and Efficiency Analysis......Page 395 4.2 Security and Efficiency Analysis......Page 397 References......Page 399 1 Introduction......Page 401 2 Related Works......Page 402 3.2 Signature Confirmation Protocol......Page 403 4 Security Analysis......Page 404 5 Discussion......Page 406 References......Page 407 1 Introduction......Page 408 Registration Phase......Page 409 3 Impersonation Attack on the Lin-Lai Scheme......Page 410 Login Phase......Page 411 5 Security Analysis......Page 412 6 Efficiency Analysis......Page 413 References......Page 414 1 Introduction......Page 415 3.1 Gun Process......Page 416 3.2 Mathematical Description, X-Process......Page 417 5 Performance Evaluations......Page 419 6 Conclusions......Page 420 References......Page 421 2 The Proposed Segmentation Algorithm......Page 422 Histogram Analysis......Page 423 Pixel Classification......Page 424 2.3 Region Classification......Page 425 2.5 Background Updating......Page 426 4 Conclusion......Page 427 References......Page 428 2.1 Gabor Transform Based Features......Page 429 2.2 Discrete Wavelet Frame Transform (DWFT)......Page 430 3 Experiments and Results......Page 431 References......Page 433 1 Introduction......Page 435 2.1 Detecting Moving Blobs in MPEG Bitstreams......Page 436 2.3 Characterizing Temporal Variations of MVMB Moments......Page 437 3.2 Performance Evaluation......Page 439 References......Page 440 1 Introduction......Page 442 2 Wavelet Edge Detector......Page 443 3 Concepts of Maximum Entropy Processing......Page 444 4.1 Medical Image Experiment 1......Page 445 4.2 Medical Image Experiment 2......Page 447 4.3 Medical Image Experiment 3......Page 448 References......Page 449 1 Introduction......Page 450 2 Fingerprint Retrieval......Page 451 3 Implementation of Fingerprint Retrieval......Page 453 4 Experimental Results......Page 455 References......Page 456 1 Introduction......Page 457 3 Local Motion Extraction......Page 458 4 Regions of Interest......Page 459 5 Matching Procedures......Page 460 6 Experimental Results......Page 461 7 Conclusions......Page 462 References......Page 463 2 Information Theoretic Metrics......Page 464 2.1.2 Joint Entropy......Page 465 2.1.5 Divergence......Page 466 2.2.2 Illumination Variation......Page 467 3 Experimental Results......Page 468 4 Conclusions......Page 469 References......Page 470 1 Introduction......Page 471 2 Requirements of Forensic Image Mining......Page 473 4 Detection of Component-Based Objects and Scenes......Page 474 4.1 Performance Results......Page 476 5 Grammar-Based Specification, Querying and Feedback......Page 477 6 Conclusion and Future Work......Page 478 References......Page 479 2.1 Predictive Vector Quantization......Page 481 3.1 Distortion Controlled SMPVQ (DCSMPVQ)......Page 482 3.2 Fast SMPVQ (FSMPVQ)......Page 483 4 Simulation Results......Page 485 References......Page 486 1 Introduction......Page 487 2.1 Basics of VQ......Page 488 2.3 Backgrounds for Side-Match VQ (SMVQ)......Page 489 3 Proposed Algorithm with CVQ and SMVQ......Page 490 4 Simulation Results......Page 491 References......Page 493 1 Introduction......Page 494 2.1 Continuous Tracking Diamond Search (CTDS)......Page 495 2.2 Multiple Reference Frame Selection (MRFS)......Page 496 2.3 Fast Motion Estimation on Variable Block Size Modes......Page 497 3 Experimental Results......Page 498 References......Page 499 1 Introduction......Page 501 2.1 Standstill Determination......Page 502 2.2 Homogeneity Determination......Page 503 4 Experimental Results......Page 504 References......Page 507 1 Introduction......Page 509 2.1 Encoding an MB by Different Block Partition and Directional Prediction......Page 511 3.1 Statistics of Mode Partitions in Test Video Sequences......Page 512 3.3 Proposed Algorithm......Page 513 5 Conclusions......Page 515 References......Page 516 1 Introduction......Page 518 2.2 Discrete Cosine Transform (DCT) and Zigzag Scan Ordering......Page 519 3.1 Coefficient Adjustment Block......Page 520 3.2 Adjustment Bit Map......Page 521 5 Conclusions......Page 522 References......Page 523 2 Power Reduction......Page 525 3 Implementation......Page 526 4 System Level Control Method......Page 528 5 Simulation Results......Page 529 6 Conclusion......Page 530 References......Page 531 1 Introduction......Page 532 3.1 Stroke Paths and Widths Generation......Page 533 3.2 Brush-Strokes in Chinese Painting Style......Page 534 5 Experimental Results......Page 536 References......Page 537 1 Introduction......Page 539 2 The Proposed Scheme Index-LOCO-I......Page 540 2.1 Index LOCO-I (I-LOCO-I) Data Hiding Scheme......Page 541 3 Simulation Result and Performance Analysis......Page 542 References......Page 543 2 Related Work......Page 545 3.1 Initial Parameterization......Page 546 Partitioning.......Page 547 Finding a partitioning path in uv domain.......Page 548 5 Conclusion......Page 549 References......Page 550 2 Description of Distributed Multimedia System......Page 552 3.1 Model of Communication Network......Page 553 3.3 Scheduling of Multimedia Data over Communication Network......Page 554 4 Multimedia Data Scheduling Algorithms......Page 555 5 Performance Evaluation......Page 556 6 Conclusion......Page 557 References......Page 558 2 Signal Pulse......Page 559 3 Joint Detection Algorithm......Page 561 4 Simulation Results......Page 562 References......Page 563 1 Introduction......Page 564 Register Phrase......Page 565 2.2 Security Analysis with Respect to SDPA......Page 566 3 Identity Based Cryptosystem......Page 567 4.1 Divisible Electronic Payment Scheme......Page 569 4.2 Security and Efficiency Analysis......Page 570 References......Page 571 1 Introduction......Page 573 2 Basic Embedding and Decoding Scheme......Page 574 3 Decoding Performance Analysis......Page 575 Amplitude Scaling.......Page 576 5 Watermark Detection and Content Authentication......Page 577 6 Conclusion and Future Work......Page 579 References......Page 580 1 Introduction......Page 581 3 Fractal, Percolation and Brownian Dynamics Models......Page 582 3.1 Fractal Geometry and Percolation......Page 583 3.2 Random Fractals and Brownian Dynamical Model......Page 584 4 Creating a Smart System......Page 585 4.1 Quantifying Smartness......Page 586 5 Conclusion......Page 587 References......Page 588 1 Introduction......Page 589 2.2 Flow of System......Page 590 2.3 Feature of Proposed Method......Page 591 3 Construction of Experimental Environment......Page 592 3.3 Index Calculation......Page 593 3.5 Experimental Results......Page 594 References......Page 595 1 Introduction......Page 596 3 Program Puzzle Creation......Page 597 3.2 Program Partition Points......Page 598 3.4 Chromosome Expression......Page 599 Fitness Function......Page 600 References......Page 601 1 Introduction......Page 602 2 Requirements for Waste Incinerators......Page 603 4 Dioxin Prediction with Software Agent......Page 604 5 Experiment Results of Single Agent......Page 606 7 Conclusion......Page 607 References......Page 608 2 Outline of the Surveillance System......Page 609 3.1 Reaction-Diffusion Equation on a Graph......Page 610 3.2 Cooperative Control Model for Decreasing Blind Spots in the Surveillance Area......Page 611 4 Simulation......Page 612 Simulation 1......Page 613 Simulation 2......Page 614 References......Page 615 1 Introduction......Page 616 2 Experiments and Results......Page 617 3 Conclusions......Page 620 References......Page 621 2 Higher Order Associative Memory of Sequential Patterns......Page 623 The Absolute Stability.......Page 625 The Conventional Capacity.......Page 626 The Absolute Stability.......Page 627 4 Conclusions......Page 628 References......Page 629 1 Introduction......Page 630 2.1 HEXQ and a Room Problem......Page 631 2.3 Graph-Based HEXQ......Page 632 2.3.1 Graph Partition of the State-Transition Diagrams......Page 633 2.3.2 Graph Comparison . Reuse of the Values......Page 634 3 Experimental Results......Page 635 4 Future Work and Conclusion......Page 636 References......Page 637 2 Reinforcement Learning Using Neural Networks......Page 638 2.2 Reinforcement Learning and Cascade Networks......Page 639 3.2 Adding Hidden Neurons......Page 640 4 Experimental Method......Page 641 5 Results and Discussion......Page 642 6 Conclusion and Future Work......Page 643 References......Page 644 2 Kohonen's Self-organizing Maps......Page 645 3 Node Exchange and the Measure of Learning......Page 646 3.2 The Measure of Learning......Page 647 4 Experiments......Page 648 4.2 Move Distance of Nodes......Page 649 References......Page 650 1 Introduction......Page 651 3.1 Basic Concepts......Page 652 3.2 Example 1......Page 653 4.1 Idea Induced from Example 1......Page 654 4.3 SARS Data Experiment and Results......Page 655 References......Page 656 1 Introduction......Page 657 2 Support Vector Machine [5]......Page 658 4 Experiment and Results......Page 660 References......Page 662 1 Introduction......Page 664 2 User Interface......Page 665 3 Recognition......Page 667 5 Conclusions and Future Work......Page 669 References......Page 670 1 Introduction......Page 671 2 Bayesian Techniques for MLPs......Page 672 3 MLPs for Mineral Potential Mapping......Page 673 4 Empirical Results......Page 674 References......Page 677 1 Introduction......Page 678 2.1 Basic Concept......Page 679 2.2 Integrated Modeling and Process Deployment......Page 680 2.3 Partner-Independent Collaboration Modeling......Page 681 3 Example Process......Page 682 4 Conclusion and Future Work......Page 683 References......Page 684 2 Previous Researches......Page 685 3.2 Maturity Model......Page 687 4 Verification of Evaluation Indices......Page 688 6 Conclusion......Page 690 References......Page 691 2 Previous Researches......Page 692 3.1 Key Features of Latest Robot Systems......Page 693 4 CSFs for HCI......Page 694 5 Conclusion......Page 695 References......Page 696 1 Introduction......Page 697 3.1 Framework......Page 698 3.2 Subordinate Process......Page 699 4 Conclusion......Page 702 References......Page 703 2 Privacy Definitions......Page 704 3 Control Points......Page 705 3.1 Control Point in Browser......Page 706 4 Security Implementation......Page 707 4.3 Security Implementation in Database......Page 708 References......Page 709 1 Introduction......Page 711 2.1 Metadata Retrieval and Transmission of User-Centric Metadata......Page 712 2.2 Universal Description Discovery and Integration......Page 713 3.1 Broadcasting Program Retrieval Using User Preference......Page 714 3.2 TV-Anytime Metadata Service Retrieval......Page 715 References......Page 717 1 Introduction......Page 718 Ports.......Page 719 2.2 Router Design......Page 720 3.1 Agent Structure......Page 721 3.2 Agent Implementation......Page 722 4 Conclusions......Page 723 References......Page 724 2 The Proposed Scheme......Page 725 3.1 IMT-2000 Mobility Model......Page 727 3.2 Numerical Analysis......Page 728 References......Page 730 1 Introduction......Page 731 3 The Proposed Semantic Web Services Discovery System......Page 732 4 Implementation......Page 734 5 Results......Page 735 6 Conclusion......Page 736 References......Page 737 1 Introduction......Page 738 2.2 Image Segmentation Based Binarization......Page 739 3.1 Face Candidate Regions......Page 740 3.3 Detection of Candidates of Eye and a Pair of Eyes......Page 741 3.4 Ranker......Page 742 3.5 Determination a Pair of Eyes......Page 743 4 Experiments and Conclusions......Page 744 References......Page 745 2.1 Ubiquitous Computing......Page 746 3.1 Introduction of System......Page 747 3.2 Design of RSC......Page 748 3.3 Design of RSS......Page 749 4 Implementation and Result of Experiment......Page 750 5 Conclusion......Page 751 References......Page 752 2 Representation of Transportation Information......Page 753 3 Management of Multi-level Road Networks......Page 755 4 Integrated Representation of Multi-level Transportation Networks......Page 757 5 Spatial Search and Path Search......Page 758 References......Page 759 1 Introduction......Page 760 2.1 Basic Model......Page 761 2.2 Alignment......Page 762 3.1 Feature Extraction......Page 763 3.3 Index Construction......Page 764 4.2 Index Searching......Page 765 4.4 Post-processing......Page 766 5.2 Experiment Results......Page 767 6 Conclusions......Page 768 References......Page 769 1 Introduction......Page 770 2 Caption: Useful Data for Video Retrieval......Page 771 3.1 Overview of Korean Stenographic System......Page 772 3.2 Time-Alignment......Page 773 4 Automatic Indexing Scheme......Page 774 4.2 Keyword Extraction......Page 775 4.3 Extraction of Color Feature in Representative Frame......Page 776 5.2 Advanced Search......Page 777 6 Conclusion......Page 778 References......Page 779 1 Introduction......Page 780 2.2 Classification of Articles Using Reporter Post Database......Page 781 3 Skimming......Page 782 3.1 Extraction of Representative Frame......Page 783 4 Experimental Results......Page 786 References......Page 788 1 Introduction......Page 789 2.2 Intelligent Tutoring System (ITS)......Page 790 3.2 System Architecture......Page 791 4 Implementation of System......Page 793 5 Evaluation of System......Page 794 References......Page 795 1 Introduction......Page 797 3.1 The Need for Timely Collaboration......Page 798 3.2 Timely Collaboration by ECA Rule Paradigm......Page 799 4 ECA Rule Programming......Page 800 5 Intelligent Active Functionality Component......Page 801 References......Page 803 1 Introduction......Page 804 3 Communication Method Among Agents......Page 805 4 Algorithm and Simulation......Page 806 4.2 Algorithm......Page 807 4.3 Simulation......Page 808 5 Conclusion......Page 809 References......Page 810 1 Introduction......Page 811 2 Goal-Based Service Provision Agent......Page 812 3.1.3 Service Part......Page 814 3.2.1 Service Composition Algorithm......Page 815 4 Conclusions and Future Works......Page 816 References......Page 817 2 Time Judgement System......Page 818 4.1 Concept Base [1][2]......Page 820 5.1 Substitution Processing of Words with the Highest Degree of Association......Page 821 5.2 Majority Decision Unknown-Word Processing with Secondary Threshold......Page 822 6 Evaluation of Time Judgement System......Page 823 References......Page 824 1 Introduction......Page 825 3 Related Work......Page 826 4.2 Web Interface......Page 827 5 System Architecture......Page 829 7 Conclusion and Future Work......Page 830 References......Page 831 1 Introduction......Page 832 2 Use of Technology on Education......Page 833 3 Development Shell......Page 835 4 The Prototype Teaching Package......Page 836 References......Page 837 1 Introduction......Page 839 2.2 Motif Representations......Page 840 2.5 Pruning of Search Space......Page 841 3 Results and Discussion......Page 842 4 Conclusion......Page 844 References......Page 845 1 Introduction......Page 846 2 Previous and Related Work......Page 847 3.1 Evaluation of Motifs......Page 848 4 Experiments and Results......Page 849 4.1 Hits and Near Misses......Page 850 References......Page 851 1 Introduction......Page 853 3 Bayesian Validation Method......Page 854 4 Experimental Results......Page 856 References......Page 859 1 Introduction......Page 861 2.1 Data Set Preparation......Page 862 Analysis of the Cleavage Sites: Sequence Logo and Decision Tree......Page 863 3 Experimental Results......Page 864 4 Conclusion......Page 865 References......Page 866 2.1 Transmembrane Region Prediction......Page 868 2.3 Problems with Previous Systems......Page 869 3.1 The SVMs Module......Page 870 4 Conclusion and Future Works......Page 872 References......Page 873 1 Introduction......Page 875 3 Kinetics of the Multi-agent System......Page 876 4 Simulation Examples......Page 877 5 Multi-agent Toolkits......Page 880 References......Page 881 2 Models of Social Dilemmas......Page 882 2.2 The Meta-norm Game......Page 884 3 Simulations and Results......Page 885 5 Closing Comments......Page 887 References......Page 888 1 Introduction......Page 889 3.1 Architecture......Page 890 3.3 Tactic Decision Making Mechanism......Page 891 3.5 Recovery......Page 892 4 Scenario Analysis......Page 893 5 Conclusion......Page 894 References......Page 895 1 Introduction......Page 896 2 Complex Adaptive Systems......Page 897 3 Analysis of the Case Study......Page 898 3.1 The Timetabling Commons: Neighbourhoods, Proximity and Interaction......Page 899 5 Conclusion......Page 901 References......Page 902 2 Related Work......Page 903 3 Superstring......Page 904 4.1 Coverage Equation......Page 905 4.2 Model Results......Page 906 5 Experimental Results......Page 907 References......Page 909 1 Introduction......Page 910 3.1 P-Timed Petri Net Based Adaptation Model......Page 911 3.3 Timing Control in P-Timed Petri Net Adaptation Model......Page 912 4.2 Link Adaptation......Page 913 4.3 Timing and Priority Adaptation......Page 914 References......Page 915 1.1 Background and Motivation......Page 917 2 Derivation of Concept Hierarchy from User Information Space......Page 918 2.1 System Architecture and User View Formulation......Page 919 3 Experiments with User View......Page 920 References......Page 923 1 Introduction......Page 924 2.2 Empathy Channel......Page 925 3 Data Analysis......Page 926 4.2 Shot Generation Module......Page 927 4.3 Gesture Generation Module......Page 928 5 Conclusion and Future Work......Page 929 References......Page 930 1 Introduction......Page 931 2 Weblog Data......Page 932 3 Finding Relations Between Weblog Data and Natural Phenomena Data......Page 933 4 Discussion......Page 934 5 Conclusion and Future Works......Page 935 References......Page 936 1 Introduction......Page 937 2 Immersible Globe Concept for Sustainable Memory System......Page 938 3 Sustainable Knowledge Globe (SKG)......Page 939 4 Contents Garden......Page 940 5 Discussion......Page 941 References......Page 942 1 Introduction......Page 944 2.2 Setting and Procedure......Page 945 Analyzing 243 Dialogs.......Page 946 Analyzing 81 Dialogs of Script Number 2.......Page 947 Analyzing 81 Dialogs in Script Number 3.......Page 948 3 Discussion and Conclusions......Page 949 References......Page 950 1 Introduction......Page 951 2.2 Key Location Control......Page 952 2.3 Conversational Locomotion Network......Page 953 3.2 Activation Functions......Page 954 4.1 Introduction......Page 955 4.2 The Generation of Node Coordinates in 3D Space......Page 956 5.2 Locomotion Conversation Based on Panorama Picture......Page 957 References......Page 958 1 Introduction......Page 959 2 Real-Time Human Proxy......Page 960 3.1 Behavior Model and Action Planning......Page 961 Importance of Action.......Page 962 Motion Generation. The four volume set LNAI 3681, LNAI 3682, LNAI 3683, and LNAI 3684 constitutethe refereed proceedings of the 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005, held in Melbourne, Australia in September 2005.
The 716 revised papers presented were carefully reviewed and selected from nearly 1400 submissions. The papers present a wealth of original research results from the field of intelligent information processing in the broadest sense.
The third volume is organized in topical sections on intelligent agent ontologies and environments, intelligent multimedia solutions and the security in the next generation mobile networks, intelligent email analysis, news extraction and web mining, semantic integration and ontologies, computer vision, image processing and retrieval, communicative intelligence, approaches and methods to security engineering, multimedia retrieval, multimedia compression, multimedia signal processing, emergence and self-organisation in complex systems, soft computing techniques and their applications, information engineering and ubiquitous computing, location and context-based systems, e-based systems in education, commerce and health, computational biology and bioinformatics, complex adaptive systems, speech processing and robotics, data mining and soft computing applications, multimedia security and stegnography, stegnography, soft computing approach to industrial engineering, medical text mining and natural language processing, knowledge based intelligent systems for health care, intelligentlearning environment, and intelligent data analysis and applications. Dear delegates,friendsand membersofthe growingKES professionalcommunity,w- come to the proceedings of the 9th International Conference on Knowledge-Based and IntelligentInformationandEngineeringSystemshostedbyLa TrobeUniversityin M- bourne Australia. The KES conference series has been established for almost a decade, and it cont- ues each year to attract participants from all geographical areas of the world, including Europe, the Americas, Australasia and the Paci?c Rim. The KES conferences cover a wide range of intelligent systems topics. The broad focus of the conference series is the theory and applications of intelligent systems. From a pure research?eld, intel- gent systems have advanced to the point where their abilities have been incorporated into many business and engineering application areas. KES 2005 provided a valuable mechanism for delegates to obtain an extensive view of the latest research into a range of intelligent-systems algorithms, tools and techniques. The conference also gave de- gates the chance to come into contact with those applying intelligent systems in diverse commercial areas. The combination of theory and practice represented a unique opp- tunity to gain an appreciation of the full spectrum of leading-edge intelligent-systems activity. The papers for KES 2005 were either submitted to invited sessions, chaired and organized by respected experts in their?elds, or to a general session, managed by an extensive International Program Committee, or to the Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP) Workshop, managed by an International Workshop Technical Committee.