LEADER 02987nam 2200613z- 450 001 9910404076603321 005 20210211 010 $a3-03928-549-1 035 $a(CKB)4100000011302372 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/56806 035 $a(oapen)doab56806 035 $a(EXLCZ)994100000011302372 100 $a20202102d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aPractice and Innovations in Sustainable Transport 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 online resource (118 p.) 311 08$a3-03928-548-3 330 $aThe book continues with an experimental analysis conducted to obtain accurate and complete information about electric vehicles in different traffic situations and road conditions. For the experimental analysis in this study, three different electric vehicles from the Edinburgh College leasing program were equipped and tracked to obtain over 50 GPS and energy consumption data for short distance journeys in the Edinburgh area and long-range tests between Edinburgh and Bristol. In the following section, an adaptive and robust square root cubature Kalman filter based on variational Bayesian approximation and Huber's M-estimation is proposed to accurately estimate state of charge (SOC), which is vital for safe operation and efficient management of lithium-ion batteries. A coupled-inductor DC-DC converter with a high voltage gain is proposed in the following section to match the voltage of a fuel cell stack to a DC link bus. Finally, the book presents a review of the different approaches that have been proposed by various authors to mitigate the impact of electric buses and electric taxis on the future smart grid. 610 $aadaptive 610 $abattery powered vehicle 610 $acharging approaches 610 $aclimate change 610 $acoupled inductor 610 $aDC-DC converter 610 $adriving cycle 610 $aelectric bus 610 $aelectric propulsion 610 $aelectric taxi 610 $aelectric vehicle 610 $afuel cell vehicles 610 $ahigh voltage gain 610 $aHuber's M-estimation 610 $alithium-ion battery 610 $apublic transportation 610 $aripple minimization current 610 $arobust 610 $asmart grid 610 $asquare root cubature Kalman filter (SRCKF) 610 $assustainable transport 610 $astate of charge (SOC) 610 $asustainable development 610 $avariational Bayesian approximation 700 $aMuneer$b Tariq$4auth$0786428 702 $aGago$b Eulalia Jadraque$4auth 702 $aGul$b Mehreen Saleem$4auth 906 $aBOOK 912 $a9910404076603321 996 $aPractice and Innovations in Sustainable Transport$93035057 997 $aUNINA LEADER 04958nam 22008175 450 001 9910483340903321 005 20250624084745.0 010 $a3-540-88269-3 024 7 $a10.1007/978-3-540-88269-5 035 $a(CKB)1000000000545857 035 $a(SSID)ssj0000318994 035 $a(PQKBManifestationID)11265221 035 $a(PQKBTitleCode)TC0000318994 035 $a(PQKBWorkID)10337359 035 $a(PQKB)10235322 035 $a(DE-He213)978-3-540-88269-5 035 $a(MiAaPQ)EBC3063631 035 $a(MiAaPQ)EBC6283431 035 $a(PPN)130185620 035 $a(EXLCZ)991000000000545857 100 $a20100301d2008 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aModeling Decisions for Artificial Intelligence $e5th International Conference, MDAI 2008, Sabadell, Spain, October 30-31, 2008, Proceedings /$fedited by Yasuo Narukawa 205 $a1st ed. 2008. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2008. 215 $a1 online resource (VIII, 239 p.) 225 1 $aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v5285 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-540-88268-5 320 $aIncludes bibliographical references and index. 327 $aInvited Papers -- Toward Elucidating Language Functions in the Brain -- Privacy-Preserving Similarity Evaluation and Application to Remote Biometrics Authentication -- Regular Papers -- Suitability Maps Based on the LSP Method -- Aggregated Mean Ratios of an Interval Induced from Aggregation Operations -- WOWA Enhancement of the Preference Modeling in the Reference Point Method -- Uninorms and Non-contradiction -- Choquet Stieltjes Integral, Losonczi?s Means and OWA Operators -- The Polytope of Fuzzy Measures and Its Adjacency Graph -- On Consensus Measures in Fuzzy Group Decision Making -- SBM and Bipolar Models in Data Envelopment Analysis with Interval Data -- A Comparison between Two Approaches to Threat Evaluation in an Air Defense Scenario -- Fuzzy Classification Function of Standard Fuzzy c-Means Algorithm for Data with Tolerance Using Kernel Function -- A Similarity Measure for Sequences of Categorical Data Based on the Ordering of Common Elements -- Analytical and Numerical Evaluation of the Suppressed Fuzzy C-Means Algorithm -- Generalized Agglomerative Clustering with Application to Information Systems -- A Comprehensive Study on Reducts in Dominance-Based Rough Set Approach -- Graph-Based Active Learning Based on Label Propagation -- Golden Complementary Dual in Quadratic Optimization -- A Linear-Time Multivariate Micro-aggregation for Privacy Protection in Uniform Very Large Data Sets -- Improving Microaggregation for Complex Record Anonymization -- A Shared Steganographic File System with Error Correction. 330 $aThis book constitutes the refereed proceedings of the 5th International Conference on Modeling Decisions for Artificial Intelligence, MDAI 2008, held in Sabadell, Spain, in October 2008. The 19 revised full papers presented together with 2 invited lectures were thoroughly reviewed and selected from 43 submissions; they are devoted to theory and tools for modeling decisions, as well as applications that encompass decision making processes and information fusion techniques. The papers are organized in topical sections on aggregation operators, decision making, clustering and similarity, computational intelligence and optimization, as well as data privacy. 410 0$aLecture Notes in Artificial Intelligence,$x2945-9141 ;$v5285 606 $aArtificial intelligence 606 $aComputer programming 606 $aCompilers (Computer programs) 606 $aMachine theory 606 $aComputer science 606 $aData mining 606 $aArtificial Intelligence 606 $aProgramming Techniques 606 $aCompilers and Interpreters 606 $aFormal Languages and Automata Theory 606 $aTheory of Computation 606 $aData Mining and Knowledge Discovery 615 0$aArtificial intelligence. 615 0$aComputer programming. 615 0$aCompilers (Computer programs) 615 0$aMachine theory. 615 0$aComputer science. 615 0$aData mining. 615 14$aArtificial Intelligence. 615 24$aProgramming Techniques. 615 24$aCompilers and Interpreters. 615 24$aFormal Languages and Automata Theory. 615 24$aTheory of Computation. 615 24$aData Mining and Knowledge Discovery. 676 $a003.3 702 $aNarukawa$b Yasuo$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aMDAI 2008 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483340903321 996 $aModeling Decisions for Artificial Intelligence$9772296 997 $aUNINA