LEADER 06454nam 22008415 450 001 996465966703316 005 20200706052728.0 010 $a1-280-39037-9 010 $a9786613568298 010 $a3-642-17080-3 024 7 $a10.1007/978-3-642-17080-5 035 $a(CKB)2670000000056671 035 $a(SSID)ssj0000446311 035 $a(PQKBManifestationID)11297664 035 $a(PQKBTitleCode)TC0000446311 035 $a(PQKBWorkID)10495863 035 $a(PQKB)10370752 035 $a(DE-He213)978-3-642-17080-5 035 $a(MiAaPQ)EBC3066086 035 $a(PPN)149890753 035 $a(EXLCZ)992670000000056671 100 $a20101102d2010 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aArtificial Intelligence and Cognitive Science$b[electronic resource] $e20th Irish Conference, AICS 2009, Dublin, Ireland, August 19-21, 2009, Revised Selected Papers /$fedited by Lorcan Coyle, Jill Freyne 205 $a1st ed. 2010. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2010. 215 $a1 online resource (XI, 293 p. 108 illus.) 225 1 $aLecture Notes in Artificial Intelligence ;$v6206 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-17079-X 320 $aIncludes bibliographical references and index. 327 $aInvited Talks -- Use of Enterprise Social Software to Support Organization and People Sensemaking -- Collective Intelligence in the Social Web -- Full Papers -- Robustness Analysis of Model-Based Collaborative Filtering Systems -- Phase and Coordination in Speech Production -- The Effect of Query Length on Normalisation in Information Retrieval -- An Evolutionary Neural Network Approach to Intrinsic Plagiarism Detection -- Investigation of Localised Centrality Metrics for Collaborative Networks: What Can They Reveal? -- Practical Development of Hybrid Intelligent Agent Systems with SoSAA -- Genetic Repair Strategies Inspired by Arabidopsis thaliana -- A Machine Learning System for Identifying Hypertrophy in Histopathology Images -- Creating Visualizations: A Case-Based Reasoning Perspective -- Assessing Context for Age-Related Spanish Temporal Phrases -- Using Shallow Natural Language Processing in a Just-In-Time Information Retrieval Assistant for Bloggers -- Towards Automatic Blotch Detection for Film Restoration by Comparison of Spatio-Temporal Neighbours -- Analysis of the Effect of Unexpected Outliers in the Classification of Spectroscopy Data -- Just Say It: An Evaluation of Speech Interfaces for Augmented Reality Design Applications -- SceneMaker: Intelligent Multimodal Visualisation of Natural Language Scripts -- The Enhanced Ranked List -- A Prediction Market for Toxic Assets -- Learning without Default: A Study of One-Class Classification and the Low-Default Portfolio Problem -- A Survey of Recent Trends in One Class Classification -- Steady State RF Fingerprinting for Identity Verification: One Class Classifier versus Customized Ensemble -- An Analysis of Order Dependence in k-NN -- Norm Convergence in Populations of Dynamically Interacting Agents -- A Comparison of Word Similarity Measures for Noun Compound Disambiguation -- An Assessment of Machine Learning Techniques for Review Recommendation -- Buzzer ? Online Real-Time Topical News Article and Source Recommender -- An Evaluation of the GhostWriter System for Case-Based Content Suggestions -- On Using Temporal Features to Create More Accurate Human-Activity Classifiers -- Demo Papers -- Physical Activity Motivating Games -- A Machine Learning System for Tracking Sentiment in Irish Economic News -- The Blogoduct System: A Just-In-Time Information Retrieval Assistant for Bloggers -- Sensing Handshakes for Social Network Development -- A Decision Support System for Energy Storage Traders. 330 $aThis book constitutes the refereed proceedings of the 20th Irish Conference on Artificial Intelligence and Cognitive Science, AICS 2009, held in Dublin, Ireland in August 2009.  The  32 papers presented were carefully reviewed and selected for inclusion in the book. The topics covered are classification techniques, biologically-inspired computation, natural language processing, and applications of AI techniques for the social Web and financial markets. 410 0$aLecture Notes in Artificial Intelligence ;$v6206 606 $aArtificial intelligence 606 $aComputer communication systems 606 $aApplication software 606 $aInformation storage and retrieval 606 $aComputers 606 $aDatabase management 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013 606 $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024 607 $aDublin <2009>$2swd 608 $aKongress$2swd 615 0$aArtificial intelligence. 615 0$aComputer communication systems. 615 0$aApplication software. 615 0$aInformation storage and retrieval. 615 0$aComputers. 615 0$aDatabase management. 615 14$aArtificial Intelligence. 615 24$aComputer Communication Networks. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aInformation Storage and Retrieval. 615 24$aComputation by Abstract Devices. 615 24$aDatabase Management. 676 $a006.3 686 $a004$2GyFmDB 702 $aCoyle$b Lorcan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aFreyne$b Jill$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aIrish Conference on Artificial Intelligence and Cognitive Science 906 $aBOOK 912 $a996465966703316 996 $aArtificial Intelligence and Cognitive Science$92072173 997 $aUNISA LEADER 05379nam 2201309z- 450 001 9910557359603321 005 20220111 035 $a(CKB)5400000000042296 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/77001 035 $a(oapen)doab77001 035 $a(EXLCZ)995400000000042296 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aNovel Approaches for Structural Health Monitoring 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (344 p.) 311 08$a3-0365-2404-5 311 08$a3-0365-2405-3 330 $aThe thirty-plus years of progress in the field of structural health monitoring (SHM) have left a paramount impact on our everyday lives. Be it for the monitoring of fixed- and rotary-wing aircrafts, for the preservation of the cultural and architectural heritage, or for the predictive maintenance of long-span bridges or wind farms, SHM has shaped the framework of many engineering fields. Given the current state of quantitative and principled methodologies, it is nowadays possible to rapidly and consistently evaluate the structural safety of industrial machines, modern concrete buildings, historical masonry complexes, etc., to test their capability and to serve their intended purpose. However, old unsolved problematics as well as new challenges exist. Furthermore, unprecedented conditions, such as stricter safety requirements and ageing civil infrastructure, pose new challenges for confrontation. Therefore, this Special Issue gathers the main contributions of academics and practitioners in civil, aerospace, and mechanical engineering to provide a common ground for structural health monitoring in dealing with old and new aspects of this ever-growing research field. 606 $aTechnology: general issues$2bicssc 610 $a"compression-softening" theory 610 $aAdamax 610 $aadaptive-passive damping 610 $aBayesian inference 610 $abending test 610 $aBOTDR 610 $aBouc-Wen model 610 $abridge 610 $abroken rail detection 610 $acategorical cross-entropy 610 $aCFRP sheet 610 $acombined subspace system identification 610 $acovariance-driven stochastic subspace identification (SSI-COV) 610 $acover delamination 610 $acrack damage detection 610 $across-modal strain energy 610 $adamage detection 610 $adamping of vibrations 610 $adata-driven stochastic subspace identification (SSI-DATA) 610 $adeep neural network 610 $adisplacement 610 $adynamic characteristic 610 $aexperiments 610 $aextreme function theory 610 $aextreme value theory 610 $afailure monitoring accuracy 610 $afiber optics 610 $afrequency 610 $afull-field reconstruction 610 $aGB-RAR 610 $ageneralised extreme distribution 610 $aguided wave ultrasound 610 $ahealth and structural integrity 610 $ahysteretic system identification 610 $ainterfacial de-bonding 610 $ainverse Finite Element Method 610 $ainverse problem 610 $amachine learning 610 $amasonry structures 610 $amodel calibration 610 $amonitoring system 610 $amooring line 610 $amultisensor array 610 $an/a 610 $anoise robustness 610 $anon destructive testing 610 $anon-destructive testing 610 $anoncontact remote sensing (NRS) 610 $anondestructive testing (NDT) method 610 $aoptical flow algorithm 610 $aParticle Impact Damper 610 $apeak frequency 610 $apiezoelectric admittance 610 $apiezoelectric impedance 610 $apipeline 610 $aprecise positioning 610 $aprestress force determination 610 $aprestress loss 610 $aprestressed concrete (PC) girder 610 $aPRISMA 610 $arail 610 $arail diagnostics 610 $areal-time monitoring 610 $aseismic structural health monitoring 610 $asensitivity analysis 610 $asensor optimization 610 $ashape sensing 610 $asigmoid function 610 $astrain distribution characteristics 610 $astructural health monitoring 610 $aStructural Health Monitoring 610 $astructural health monitoring (SHM) 610 $asubmerged floating tunnel 610 $asubspace system identification 610 $asuper high-rise building 610 $aun-bonded position 610 $auncertainty quantification 610 $auniaxial automatic cruise acquisition device 610 $avertical deflection measurement 610 $avibration-based damage detection 610 $awheel flat 615 7$aTechnology: general issues 700 $aSurace$b Cecilia$4edt$0760234 702 $aSurace$b Cecilia$4oth 906 $aBOOK 912 $a9910557359603321 996 $aNovel Approaches for Structural Health Monitoring$93033304 997 $aUNINA