Computational collective intelligence : technologies and applications : second international conference, ICCCI 2010, Kaohsiung, Taiwan, November 10-12, 2010 : proceedings / Part II
معرفی کتاب «Computational collective intelligence : technologies and applications : second international conference, ICCCI 2010, Kaohsiung, Taiwan, November 10-12, 2010 : proceedings / Part II» نوشتهٔ Jeng-Shyang Pan; Shyi-Ming Chen; Ngoc Thanh Nguyen; International Conference on Computational Collective Intelligence, ICCCI. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.
Annotation The three-volume set LNAI 6421, 6422 and 6423 constitutes the refereed proceedings of the Second International Conference on Computational Collective Intelligence, ICCCI 2010, held in Kaohsiung, Taiwan, in November 2010. Based on rigorous peer reviews, the program committee carefully selected 155 revised papers from 500 submissions for presentation in three volumes. The papers are organized in topical sections on collective intelligence in web systems - web systems analysis; intelligent computing for data security; smart clustering techniques; web service; quantitative management of technology; agent system; CCI-based optimization models; fuzzy logic and its applications; social networks; innovations in computation and application; intelligent signal processing for human-machine interaction; novel approaches to intelligent applications; intelligent technologies for medical related applications; novel approaches to collective computations and systems; intelligent systems; advanced knowledgement management; intelligent computing for image analysis; intelligent digital watermarking and pattern recognition; innovative information system and application; intelligent computing for networks; soft computing to industrial management and applications; innovations in pervasive computing; biological computing. Cover ......Page 1 Preface......Page 6 ICCCI 2010 Conference Organization......Page 8 Table of Contents – Part II......Page 12 Introduction......Page 17 Generalized Club Problem......Page 19 Influence Function......Page 20 A Branch and Bound Algorithm......Page 21 Test Data......Page 22 Experimental Results......Page 23 Concluding Remarks......Page 25 References......Page 26 Introduction......Page 27 Related Work......Page 28 Features Extraction......Page 29 Data Set......Page 33 Results......Page 34 Conclusions and Future Work......Page 35 References......Page 36 Introduction......Page 38 Twitter......Page 39 Data Set......Page 41 Identifying Representative Reviewer......Page 42 Experiments and Analysis......Page 43 Conclusions and Future Work......Page 45 References......Page 46 Introduction......Page 47 Selection of Underlying Software Solution......Page 48 Initial Adjustments and Improvements of the Chosen Platform......Page 49 Main Menu Functionalities......Page 50 Creation and Dissolution of Online Friendships......Page 52 Data Collection Methods......Page 53 Boundary Specification Based on Position......Page 54 Boundary Specification Based on Event......Page 55 References......Page 56 OSN Usage Analysis......Page 57 Basic Structural Characteristics of the Network......Page 60 Longitudinal Analysis of Structural Characteristics......Page 62 Visualization of the Network......Page 65 References......Page 66 Introduction......Page 67 Preliminaries......Page 68 Fuzzy Decision Making with Statistical Confidence Interval Evaluations Approaches......Page 70 Fuzzy Relation with Membership Grade [12]......Page 71 Fuzzy Decision Making on Fuzzy Number and Composition Rule of Inference with Statistical Sense......Page 72 Example [12]......Page 75 References......Page 76 Introduction......Page 77 System Judging......Page 78 System Implementation......Page 80 References......Page 82 Introduction......Page 84 Microarray Dataset......Page 85 The First Stage......Page 86 The Second Stage......Page 87 Results and Performance......Page 88 Conclusion......Page 89 References......Page 90 Introduction......Page 91 9DLT Video Model......Page 92 Similarity Retrieval......Page 95 Conclusions......Page 99 References......Page 100 Introduction......Page 101 Research Motivation and Method......Page 102 E-Learning......Page 103 Service-Oriented Architecture......Page 104 System Architecture and Implementation......Page 105 References......Page 109 Introduction......Page 111 Low Security PFS Protocol......Page 112 Medium Security PFS Protocol......Page 113 High Security PFS Protocol......Page 116 References......Page 119 Introduction......Page 120 Collaborative Filtering......Page 121 Genetic Algorithms......Page 122 Profile Generation Module ( PGM )......Page 123 Recommendation Module (RC)......Page 125 Experimental Evaluation......Page 126 References......Page 127 Introduction......Page 129 Translation Pretreatment......Page 130 Correction Operation......Page 131 Pretreatment Algorithm......Page 132 Decoding Algorithm......Page 133 Feature Template......Page 134 Test for Sentence Pretreatment Effect......Page 135 Conclusion and Further Study......Page 136 References......Page 137 Introduction......Page 138 Introduction......Page 139 Collecting Facts......Page 140 SMS EmoAlerter......Page 141 Conclusion......Page 145 References......Page 146 Introduction......Page 148 Thai Unknown Word Recognition Framework......Page 150 Penalty Setting Profile......Page 151 Experimental Results......Page 153 References......Page 157 Introduction......Page 158 Networked Mobile RFID Technology......Page 159 Encryption Mode......Page 160 AONT Based Data Security Management Scheme......Page 161 Details of the Proposed Scheme......Page 162 Advantages of the Proposed Scheme......Page 165 Comparison of Algorithms......Page 166 References......Page 167 Introduction......Page 169 QAGA......Page 172 Examples......Page 173 Experimental Results......Page 175 References......Page 177 Introduction......Page 179 Challenges......Page 180 Activity Extraction with CRFs......Page 181 Proposed Architecture......Page 182 Evaluation......Page 183 Human Activity Extraction......Page 184 Conclusions......Page 185 References......Page 186 Introduction......Page 188 Motivation and Objective......Page 190 Deployment of Private Small-C Loud Computing......Page 191 Establishment of Terminal Nodes......Page 192 Clouds and the Overall Structure of the Node Device......Page 193 Experimental Results......Page 194 Conclusions......Page 196 References......Page 197 Introduction......Page 199 Honey Bee Mating Optimization......Page 200 Problem Statement......Page 202 Fitting Digital Curves Using the Honey Bee Mating Optimization......Page 204 Experimental Results......Page 205 References......Page 207 Introduction......Page 209 Mobile RFID Technology......Page 210 Mobile RFID Services......Page 211 A System Framework and Adult Verification Processes......Page 212 The Rating Criteria for Adult Verification......Page 215 The Rating Expression for Adult Verification......Page 216 References......Page 217 Introduction......Page 219 Preliminaries......Page 220 The Proposed GHA Architecture......Page 221 Experimental Results......Page 224 References......Page 228 Introduction......Page 229 Preliminaries......Page 231 Main Results and Proof......Page 233 References......Page 238 Introduction......Page 240 The Proposed Algorithm......Page 242 An Example......Page 244 Conclusion......Page 246 References......Page 247 Introduction......Page 248 Canny Algorithm......Page 249 Active Contour Models (Snakes)......Page 250 Threshold Method Using Otsu's Thresholding Algorithm......Page 251 Comparison of These Methods to Tongue Diagnosis......Page 252 Conclusion......Page 253 References......Page 254 Introduction......Page 255 Image Clustering Based on SK-Set......Page 257 Features of Fractal Analysis Extracted from Sub-band......Page 259 Experimental Results......Page 261 References......Page 263 Introduction......Page 265 The Proposed System......Page 266 Feature Extraction......Page 267 Similarity Measurement......Page 269 Experimental Result......Page 271 References......Page 272 Introduction......Page 274 Brain Networks......Page 276 Internet vs. Human Brain......Page 277 Current Status of the Brain Simulator......Page 279 Architecture......Page 280 Conclusion and Future Work......Page 282 References......Page 283 Introduction......Page 284 System Architecture......Page 286 Experiments......Page 289 Conclusions......Page 291 References......Page 292 Introduction......Page 294 Feature Generation......Page 296 Watermark Embedding......Page 297 Authentication......Page 298 Discussion and Analysis......Page 299 Experimental Results......Page 300 References......Page 302 Introduction......Page 304 Fuzzy Schemes and Speech Recognition......Page 307 MAP (Maximum a $Posteriori$)......Page 308 MAP with FLC......Page 309 MLLR (Maximum Likelihood Linear Regression)......Page 310 MLLR with FLC......Page 311 Conclusions and Future Work......Page 312 References......Page 313 Introduction......Page 314 Multi-channel Sound Monitoring......Page 315 Visual Sound Spatiality Detector......Page 318 Conclusions......Page 321 References......Page 322 Introduction......Page 323 Image Normalization......Page 324 Watermark Synchronization......Page 325 Extension to Scale-Space Features......Page 327 Simulation Results......Page 328 References......Page 330 Previous Works......Page 332 Audio Zero Watermarking with HOS-Based Linear Prediction Cepstral Feature......Page 333 Experimental Results......Page 337 Conclusion......Page 338 References......Page 339 Introduction......Page 340 Supervisor Grid Node......Page 341 Execute Grid Node......Page 343 Supervisor Grid Node......Page 345 Execute Grid Node......Page 346 Encryption Algorithm (CAEC Certificate of Authorization Encryption)......Page 347 Comparison......Page 348 References......Page 349 Introduction......Page 350 Non-cooperative Game Theory......Page 352 Formulation of Optimization Problems......Page 354 Experimental Results......Page 356 Conclusions......Page 358 References......Page 359 Introduction......Page 360 Review of the Ant Colony System......Page 361 The Improved Ant Colony System for Continuous Search Space......Page 362 Fuzzy Data Mining Based on the Improved ACS......Page 363 Experiments......Page 365 References......Page 366 Introduction......Page 368 Networks and Communities......Page 369 Complex Networks......Page 370 Parametrization of Complex Networks......Page 371 Extracting Communities......Page 373 A Cognitive Prosthesis for Concept Incarnation......Page 374 Network Parametrization of the Community Operator......Page 375 Application: Product Innovation......Page 376 References......Page 377 Introduction......Page 379 ARCS Model......Page 380 Text Mining and KeyGraph Technology......Page 381 Instrument......Page 382 Chance Building Model......Page 383 Results and Discussion......Page 386 References......Page 387 Introduction......Page 389 Architecture of the System......Page 390 Analysis of the System......Page 391 Performance Evaluation......Page 394 References......Page 396 Introduction......Page 397 Game Engines......Page 399 System Description......Page 400 System Framework......Page 402 Performance Analysis......Page 403 Conclusions......Page 404 References......Page 405 Introduction......Page 407 Different Negation Relations in Fuzzy Concepts......Page 408 Medium Predicate Logic and Infinite-Valued Interpretation......Page 409 An Example......Page 411 Representation of Fuzzy Predicate and Different Negations in Example......Page 412 Measurement of Truth Valued for Fuzzy Predicate Expressions in Example......Page 413 Reasoning of Fuzzy Information and Different Negations in the Example......Page 415 References......Page 417 Introduction......Page 418 Measures of the Constructs......Page 419 Data Analysis Methods......Page 420 Comparison between the Fuzzy Neural Network and Traditional Regression Method......Page 421 Effect of Demographic Characteristics on Quality of Life......Page 422 References......Page 424 Introduction......Page 427 Kernel Methods......Page 428 KPCA......Page 429 KPCA for Exploratory Data Investigation Method......Page 432 Sparse Kernel Principal Component Analysis......Page 434 Solutions and Problems......Page 435 Conclusions......Page 439 References......Page 440 Introduction......Page 441 Phone Survey......Page 443 The Different Groups in Confidence Level......Page 444 Proportional Odds Model......Page 445 Analysis of Different Groups Confidence Level......Page 446 Conclusion and Suggestion......Page 447 References......Page 448 Introduction......Page 449 Background......Page 451 CAPTCHA Attacks......Page 453 Personalized CAPTCHA......Page 454 References......Page 455 Introduction......Page 457 Fuzzy Time Series......Page 458 A New Method for the TAIEX Forecasting Based on Fuzzy Time Series and the Automatically Generated Weights of Defuzzified Forecasted Fuzzy Variations of Multiple-Factors......Page 459 Experimental Results......Page 465 References......Page 466 Introduction......Page 467 The Function of Document Repository......Page 468 Analysis of the Composition and Structure of Stored Documents......Page 469 Composition of Document Repository......Page 471 The Approach to Implementation of Document Repository......Page 473 Algorithms of Procedures......Page 474 References......Page 475 Introduction......Page 477 Phase Space Reconstruction......Page 478 Selection of Embedding Dimension......Page 479 Structure of ANFIS......Page 480 Simulations......Page 481 Conclusion......Page 484 References......Page 485 Introduction......Page 486 Workflow Management Problem......Page 487 Resource Activity and Workflow Models......Page 488 Workflow Management......Page 490 Conclusion......Page 493 References......Page 494 Introduction......Page 496 Definition of Fuzzy Ontology......Page 497 General Tasks of Fuzzy Ontology Integration......Page 498 Integration on Concept Level......Page 499 Integration on Relation Level......Page 500 Algorithm for Problem FOI-1......Page 502 Algorithm for Problem FOI-3......Page 503 References......Page 504 Introduction......Page 506 Ontology-Based Personalization......Page 507 Reference Ontology......Page 508 User Profile Ontology......Page 509 Search Based on Ontological Personal Profile......Page 510 Filtering and Re-ranking the Search Results......Page 511 Metrics......Page 512 Data Sets......Page 513 Evaluation Measures......Page 514 References......Page 515 Introduction......Page 517 Incorporation of Rough Set for Classification Processing......Page 518 Rough Set Implementation......Page 524 Conclusion and Future Works......Page 525 References......Page 526 Author Index ......Page 527 This volume composes the proceedings of the Second International Conference on Computational Collective Intelligence ́ ́ Technologies and Applications (ICCCI 2010), which was hosted by National Kaohsiung University of Applied Sciences and Wroclaw University of Technology, and was held in Kaohsiung City on November 10-12, 2010. ICCCI 2010 was technically co-sponsored by Shenzhen Graduate School of Harbin Institute of Technology, the Tainan Chapter of the IEEE Signal Processing Society, the Taiwan Association for Web Intelligence Consortium and the Taiwanese Association for Consumer Electronics. It aimed to bring together researchers, engineers and po- cymakers to discuss the related techniques, to exchange research ideas, and to make friends. ICCCI 2010 focused on the following themes: ́Ø Agent Theory and Application ́Ø Cognitive Modeling of Agent Systems ́Ø Computational Collective Intelligence ́Ø Computer Vision ́Ø Computational Intelligence ́Ø Hybrid Systems ́Ø Intelligent Image Processing ́Ø Information Hiding ́Ø Machine Learning ́Ø Social Networks ́Ø Web Intelligence and Interaction Around 500 papers were submitted to ICCCI 2010 and each paper was reviewed by at least two referees. The referees were from universities and industrial organizations. 155 papers were accepted for the final technical program. Four plenary talks were kindly offered by: Gary G. Yen (Oklahoma State University, USA), on ́ Population Control in Evolutionary Multi-objective Optimization Algorithm, ́ Chin-Chen Chang (Feng Chia University, Taiwan), on ́ Applying De-clustering Concept to Information Hiding, ́ Qinyu Zhang (Harbin Institute of Technology, China), on ́ Cognitive Radio Networks and Its Applications, ́ and Lakhmi C
دانلود کتاب Computational collective intelligence : technologies and applications : second international conference, ICCCI 2010, Kaohsiung, Taiwan, November 10-12, 2010 : proceedings / Part II