LEADER 03968nam 22006615 450 001 996466158503316 005 20200629130539.0 010 $a3-540-47287-8 024 7 $a10.1007/3-540-55798-9 035 $a(CKB)1000000000548885 035 $a(SSID)ssj0000326204 035 $a(PQKBManifestationID)11268652 035 $a(PQKBTitleCode)TC0000326204 035 $a(PQKBWorkID)10264985 035 $a(PQKB)11045405 035 $a(DE-He213)978-3-540-47287-2 035 $a(PPN)155216023 035 $a(EXLCZ)991000000000548885 100 $a20121227d1992 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aRelational Matching$b[electronic resource] /$fby George Vosselman 205 $a1st ed. 1992. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d1992. 215 $a1 online resource (X, 18 p.) 225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v628 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-55798-9 327 $aComputer vision and matching -- A classification of matching methods -- Formal description of relational matching -- Problem definition and contributions of the thesis -- Information theory:Selected Topics -- Evaluation of mappings between relational descriptions -- Tree search methods and heuristics -- Relational image and model description -- Evaluation functions for object location -- Strategy and performance of the tree search for object location -- Summary and discussion. 330 $aRelational matching is a method for finding the best correspondences betweenstructural descriptions. It is widely used in computer vision for the recognition and location of objects in digital images. For this purpose, the digital images and the object models are represented by structural descriptions. The matching algorithm then has to determine which image elements and object model parts correspond. This book is the result of abasic study of relational matching. The book focuses particularly on the evaluation of correspondences. In order to find the best match, one needs a measure to evaluate the quality of a match. The author reviews the evaluation measures that have been suggested over the past few decades and presents a new measure based on information theory. The resulting theorycombines matching strategies, information theory, and tree search methods. For the benefit of the reader, comprehensive introductions are given to all these topics. 410 0$aLecture Notes in Computer Science,$x0302-9743 ;$v628 606 $aComputers 606 $aArtificial intelligence 606 $aPattern recognition 606 $aSoftware engineering 606 $aTheory of Computation$3https://scigraph.springernature.com/ontologies/product-market-codes/I16005 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aModels and Principles$3https://scigraph.springernature.com/ontologies/product-market-codes/I18016 606 $aSoftware Engineering/Programming and Operating Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I14002 615 0$aComputers. 615 0$aArtificial intelligence. 615 0$aPattern recognition. 615 0$aSoftware engineering. 615 14$aTheory of Computation. 615 24$aArtificial Intelligence. 615 24$aPattern Recognition. 615 24$aModels and Principles. 615 24$aSoftware Engineering/Programming and Operating Systems. 676 $a004.0151 700 $aVosselman$b George$4aut$4http://id.loc.gov/vocabulary/relators/aut$0745699 906 $aBOOK 912 $a996466158503316 996 $aRelational Matching$92830418 997 $aUNISA LEADER 04827nam 2200649 450 001 9910131530903321 005 20230808212415.0 010 $a1-118-86723-8 010 $a1-118-86727-0 010 $a1-118-86725-4 035 $a(CKB)3710000000498547 035 $a(EBL)4548203 035 $a(SSID)ssj0001570655 035 $a(PQKBManifestationID)16220198 035 $a(PQKBTitleCode)TC0001570655 035 $a(PQKBWorkID)14815092 035 $a(PQKB)11786577 035 $a(MiAaPQ)EBC4548203 035 $a(DLC) 2015041204 035 $a(Au-PeEL)EBL4548203 035 $a(CaPaEBR)ebr11251354 035 $a(CaONFJC)MIL847020 035 $a(OCoLC)930265116 035 $a(EXLCZ)993710000000498547 100 $a20160916d2016 uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aLine loss analysis and calculation of electric power systems /$fAnguan Wu, North China Electric Power University, China, Baoshan Ni, Zheijian University China 205 $aSecond edition. 210 1$aHoboken, NJ :$cWiley,$d2016. 215 $a1 online resource (514 p.) 300 $aPrevious edition published under the title: Line Loss in Electric Power System. 311 $a1-118-86709-2 320 $aIncludes bibliographical references and index. 327 $aTitle Page; Table of Contents; Foreword; Preface; Introduction; 1 Overview; 1.1 Active Power Loss and Electric Energy Loss; 1.2 Calculation of AC Resistance; 1.3 Influence of Temperature and Voltage Changes on Line Loss in the Measuring Period; 1.4 Influence of Load Curve Shape on Line Loss; 1.5 Influence of Load Power Factor and Load Distribution on Line Loss; 1.6 Influence of Measuring Instrument Error on Line Loss; 2 Calculation of Line Loss by Current Load Curve; 2.1 RMS Current Method and Loss Factor Method; 2.2 Derivation of Functional Relationship F(f) by Ideal Load Curve 327 $a2.3 Derivation of Approximate Formula of F(f) by Statistical Mathematical Method 2.4 Derivation of F(f) Formula by Mathematical Analysis Method; 3 Probability Theory Analysis of Current Load Curve; 3.1 Probability Meanings of Load Curve and Its Parameters; 3.2 Analysis of Rossander Formula as Distribution Function; 3.3 Comparison of Various Loss Factor Formulas; 3.4 Three-Mode Division of Active Load Duration Curve; 4 Calculation of Line Loss by Power Load Curve; 4.1 Line Loss Calculation Considering Power Factor; 4.2 Maximum Load Power Factor Method of Tro?ger 327 $a4.3 Annual Average Power Factor Method of Glazynov 4.4 Equivalent Load Curve Method; 4.5 Analysis of Errors of Various Line Loss Calculation Methods; 5 Line Loss Calculation after Reactive Compensation; 5.1 Calculation of Load Curve Parameters after Reactive Compensation; 5.2 Calculation of Loss Reduction Effect of Reactive Compensation; 5.3 Calculation Curves of Annual Electric Energy Losses for Power Grid Planning and Design; 6 Change Law for the Electric Energy Losses of Power Grids; 6.1 Basis of Analysis of Line Loss Changes; 6.2 Calculation and Analysis of No-load Loss 327 $a6.3 Calculation and Analysis of Load Loss Coefficient C 6.4 Determination of Voltage Level by Loss Reduction Requirement; 7 Analysis and Control of Line Loss Rate Indicators of Power Grids; 7.1 Analysis of Line Loss Rate Composition; 7.2 Analysis of Influence of Grid Electric Supply Structure on Line Loss Rate; 7.3 Analysis of Power Sales Quantity Composition; 7.4 Multiple-factor Analysis of Changes in Electricity Line Losses; 7.5 Marginal Line Loss Rate and Optimal Distribution of Increase in Electric Supply; 8 Theoretical Calculation of Electric Energy Losses of Power Grid Units 327 $a8.1 Classification of Electric Energy Losses 8.2 Calculation of Electric Energy Losses of Overhead Lines; 8.3 Calculation of Electric Energy Losses of Cable Lines; 8.4 Calculation of Electric Energy Losses of Main Transformers; 8.5 Calculation of Electric Energy Losses of Other Electrical Equipment; 9 Calculation of Electric Energy Losses of Multi-branch Lines; 9.1 Basic Method for Calculating Electric Energy Losses of Multi-branch Lines; 9.2 Equivalent Resistance Method and Calculation of Electric Energy Losses of Distribution Transformers; 9.3 Double Component Balance Method 327 $a9.4 Dispersion Coefficient Method 606 $aElectric lines 606 $aElectric resistance 615 0$aElectric lines. 615 0$aElectric resistance. 676 $a621.31934 700 $aWu$b Anguan$0972139 702 $aNi$b Baoshan 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910131530903321 996 $aLine loss analysis and calculation of electric power systems$92210254 997 $aUNINA