LEADER 04031nam 22006015 450 001 996465587803316 005 20240109235945.0 010 $a3-642-53878-9 024 7 $a10.1007/978-3-642-53878-0 035 $a(CKB)3710000000078896 035 $a(DE-He213)978-3-642-53878-0 035 $a(SSID)ssj0001092096 035 $a(PQKBManifestationID)11622093 035 $a(PQKBTitleCode)TC0001092096 035 $a(PQKBWorkID)11029835 035 $a(PQKB)10533609 035 $a(MiAaPQ)EBC3093530 035 $a(PPN)176118365 035 $a(EXLCZ)993710000000078896 100 $a20131213d2013 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aTransactions on Computational Collective Intelligence XII$b[electronic resource] /$fedited by Ngoc-Thanh Nguyen 205 $a1st ed. 2013. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2013. 215 $a1 online resource (X, 209 p. 66 illus.) 225 1 $aTransactions on Computational Collective Intelligence,$x2190-9288 ;$v8240 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-53877-0 327 $aFormalisms and Tools for Knowledge Integration Using Relational Databases -- A Click stream Based Web Page Importance Metric for Customized Search Engines -- Opinion Analysis of Texts Extracted from the Social Web Contributions -- Time and Personality Based Behaviors under Cognitive Approach to Control the Negotiation Process with Incomplete Information -- Web Server Support for e-Customer Loyalty through QoS Differentiation -- Applying IPC-Based Clustering and Link Analysis to Patent Analysis on Thin-Film Solar Cell -- Multi-agent Virtual Machine Management Using the Lightweight Coordination Calculus -- Modelling Evacuation at Crisis Situations by Petri Net-Based Supervision -- Particle Swarm Optimization with Disagreements on Stagnation -- Evolutionary Algorithm with Geographic Heuristics for Urban Public Transportation. 330 $aThese transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as the semantic web, social networks, and multi-agent systems. TCCI strives to cover new methodological, theoretical and practical aspects of CCI understood as the form of intelligence that emerges from the collaboration and competition of many individuals (artificial and/or natural). The application of multiple computational intelligence technologies, such as fuzzy systems, evolutionary computation, neural systems, consensus theory, etc., aims to support human and other collective intelligence and to create new forms of CCI in natural and/or artificial systems. This twelfth issue contains 10 carefully selected and thoroughly revised contributions. 410 0$aTransactions on Computational Collective Intelligence,$x2190-9288 ;$v8240 606 $aArtificial intelligence 606 $aComputational intelligence 606 $aComputers 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aInformation Systems and Communication Service$3https://scigraph.springernature.com/ontologies/product-market-codes/I18008 615 0$aArtificial intelligence. 615 0$aComputational intelligence. 615 0$aComputers. 615 14$aArtificial Intelligence. 615 24$aComputational Intelligence. 615 24$aInformation Systems and Communication Service. 676 $a006.3 702 $aNguyen$b Ngoc Thanh$c(Computer scientist).$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996465587803316 996 $aTransactions on Computational Collective Intelligence XII$92558156 997 $aUNISA LEADER 05269nam 2200577Ia 450 001 9910779690603321 005 20230802010004.0 010 $a1-299-46211-1 010 $a1-84816-792-X 035 $a(CKB)2550000001019204 035 $a(EBL)1168152 035 $a(SSID)ssj0000867190 035 $a(PQKBManifestationID)12392330 035 $a(PQKBTitleCode)TC0000867190 035 $a(PQKBWorkID)10888906 035 $a(PQKB)11099539 035 $a(MiAaPQ)EBC1168152 035 $a(WSP)00002985 035 $a(Au-PeEL)EBL1168152 035 $a(CaPaEBR)ebr10699304 035 $a(CaONFJC)MIL477461 035 $a(OCoLC)860586223 035 $a(EXLCZ)992550000001019204 100 $a20120423d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aFlow visualization$b[electronic resource] $etechniques and examples /$feditors, A.J. Smits, T.T. Lim 205 $a2nd ed. 210 $aLondon $cImperial College Press$dc2012 215 $a1 online resource 300 $aPrevious ed.: London: Imperial College Press, 2000. 311 $a1-84816-791-1 320 $aIncludes bibliographical references and index. 327 $a1. Interpretation Of Flow Visualization -- 1.1. Introduction -- 1.2. Critical Points in Flow Patterns -- 1.3. Relationship between Streamlines, Pathlines, and Streaklines -- 1.4. Sectional Streamlines -- 1.5. Bifurcation Lines -- 1.6. Interpretation of Unsteady Flow Patterns with the Aid of Streaklines and Streamlines -- 1.7. Concluding Remarks -- 1.8. References -- 2. Hydrogen Bubble Visualization -- 2.1. Introduction -- 2.2. Hydrogen Bubble Generation System -- 2.2.1. Safety -- 2.3. Bubble Probes -- 2.4. Lighting -- 2.5. Unique Applications -- 2.6. References -- 3. Dye And Smoke Visualization -- 3.1. Introduction -- 3.2. Flow Visualization in Water -- 3.2.1. Conventional dye -- 3.2.2. Laundry brightener -- 3.2.3. Milk -- 3.2.4. Fluorescent dye -- 3.2.5. Methods of dye injection -- 3.2.6. Rheoscopic fluid -- 3.2.7. Electrolytic precipitation -- 3.3. Flow Visualization in Air -- 3.3.1. Smoke tunnel -- 3.3.2. Smoke generator -- 3.3.3. Smoke-wire technique -- 3.3.4. Titanium tetrachloride -- 3.4. Photographic Equipment and Techniques -- 3.4.1. Lighting -- 3.4.2. Camera -- 3.4.3. Lens -- 3.4.4. Film -- 3.5. Cautionary Notes -- 3.6. References -- 4. Molecular Tagging Velocimetry And Thermometry -- 4.1. Introduction -- 4.2. Properties of Photo-Sensitive Tracers -- 4.2.1. Photochromic dyes -- 4.2.2. Phosphorescent supramolecules -- 4.2.3. Caged dyes -- 4.3. Examples of Molecular Tagging Measurements -- 4.3.1. Phosphorescent supramolecules -- 4.3.2. Caged dye tracers -- 4.4. Image Processing and Experimental Accuracy -- 4.4.1. Line processing techniques -- 4.4.2. Grid processing techniques -- 4.4.3. Ray tracing -- 4.4.4. Molecular tagging thermometry -- 4.5. References -- 5. Planar Imaging Of Gas Phase Flows -- 5.1. Introduction -- 5.2. Planar Laser-Induced Fluorescence -- 5.2.1. Velocity tracking by laser-induced fluorescence -- 5.3. Rayleigh Imaging from Molecules and Particles -- 5.4. Filtered Rayleigh Scattering -- 5.5. Planar Doppler Velocimetry -- 5.6. Summary -- 5.7. References -- 6. Digital Particle Image Velocimetry -- 6.1. Quantitative Flow Visualization -- 6.2. DPIV Experimental Setup -- 6.3. Particle Image Velocimetry: A Visual Presentation -- 6.4. Image Correlation -- 6.4.1. Peak finding -- 6.4.2. Computational implementation in frequency space -- 6.5. Video Imaging -- 6.6. Post Processing -- 6.6.1. Outlier removal -- 6.6.2. Differentiable flow properties -- 6.6.3. Integrable flow properties -- 6.7. Sources of Error -- 6.7.1. Uncertainty due to particle image density -- 6.7.2. Uncertainty due to velocity gradients within the interrogation windows -- 6.7.3. Uncertainty due to different particle size imaging -- 6.7.4. Effects of using different sizes of interrogation windows -- 6.7.5. Mean-bias error removal -- 6.8. DPIV Applications -- 6.8.1. Investigation of vortex ring formation -- 6.8.2. novel application for force prediction DPIV -- 6.8.3. DPIV and a CFD counterpart: Common ground -- 6.9. Conclusion -- 6.10. References -- 7. Surface Temperature Sensing With Thermochromic Liquid Crystals -- 7.1. Introduction -- 7.1.1. Properties of liquid crystals -- 7.1.2. Temperature calibration techniques -- 7.1.3. Convective heat transfer coefficient measurement techniques -- 7.2. Implementation -- 7.2.1. Sensing sheet preparation -- 7.2.2. Test surface illumination -- 7.2.3. Image capture and reduction -- 7.2.4. Calibration and measurement uncertainty -- 7.3. Examples -- 7.3.1. Turbine cascade -- 7.3.2. Turbulent spot and boundary layer -- 7.3.3. Turbulent juncture flow -- 7.3.4. Particle image thermography -- 7.4. References 606 $aFlow visualization 606 $aFluid dynamics 615 0$aFlow visualization. 615 0$aFluid dynamics. 676 $a681.28 701 $aSmits$b Alexander J$01545608 701 $aLim$b T. T$01545609 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910779690603321 996 $aFlow visualization$93800620 997 $aUNINA