LEADER 02668oam 2200529I 450 001 9910511352303321 005 20190408233025.0 010 $a1-351-99954-0 010 $a1-315-27750-6 010 $a1-351-99953-2 024 7 $a10.4324/9781315277509 035 $a(CKB)4340000000209789 035 $a(MiAaPQ)EBC5109800 035 $a(OCoLC)1004134142 035 $a(EXLCZ)994340000000209789 100 $a20180706d2018 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aOil and the economy of Russia $efrom the late-Tsarist to the post-Soviet period /$fNat Moser 205 $aFirst edition. 210 1$aNew York :$cRoutledge,$d2018. 215 $a1 online resource (172 pages) $cillustrations, tables 225 1 $aBASEES/Routledge Series on Russian and East European Studies ;$vVolume 119 311 $a1-138-24287-X 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- The oil industry : main features and characteristics -- Conceptual terminology -- Structure, methodology and sources -- The late-tsarist oil industry, 1861-1917 -- Late-tsarist economy overview -- Late-tsarist oil industry overview -- Role of the state -- Foreign participation -- Monopolies, cartels and business-state relations -- Technology -- The soviet oil industry, 1917-1991 -- Soviet economy overview -- Soviet oil industry overview -- Enterprise management -- Inefficiency of resource use -- Technology -- The post-soviet oil industry, 1991-2017 -- Post-soviet economy overview -- Post-soviet oil industry overview -- The state and the oil industry -- Business-state relations -- Foreign participation -- Enterprise performance -- Conclusion -- Appendix -- Literature review -- Bibliography -- Interviews conducted. 410 0$aBASEES/Routledge series on Russian and East European studies ;$vVolume 119. 606 $aPetroleum industry and trade$zRussia$xHistory 606 $aPetroleum industry and trade$zSoviet Union$xHistory 606 $aPetroleum industry and trade$zRussia (Federation)$xHistory 607 $aIndustrial policy$zRussia (Federation)$xHistory 608 $aElectronic books. 615 0$aPetroleum industry and trade$xHistory. 615 0$aPetroleum industry and trade$xHistory. 615 0$aPetroleum industry and trade$xHistory. 676 $a338.2/7280947 700 $aMoser$b Nat$01066016 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910511352303321 996 $aOil and the economy of Russia$92548475 997 $aUNINA LEADER 04517nam 22008175 450 001 9910686480303321 005 20251009074931.0 010 $a9789819909537 010 $a9819909538 024 7 $a10.1007/978-981-99-0953-7 035 $a(CKB)5840000000241903 035 $a(DE-He213)978-981-99-0953-7 035 $a(MiAaPQ)EBC7236673 035 $a(Au-PeEL)EBL7236673 035 $a(PPN)269658025 035 $a(MiAaPQ)EBC7236066 035 $a(EXLCZ)995840000000241903 100 $a20230410d2023 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aDeep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways /$fby Zhigang Liu, Wenqiang Liu, Junping Zhong 205 $a1st ed. 2023. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2023. 215 $a1 online resource (XIII, 239 p. 212 illus., 149 illus. in color.) 225 1 $aAdvances in High-speed Rail Technology,$x2363-5029 311 08$a9789819909520 311 08$a981990952X 320 $aIncludes bibliographical references. 327 $aOverview of Catenary Detection of Electrified Railways -- Advance of Deep Learning -- Catenary Support Components and their Characteristics in High-speed Railways -- Preprocessing of Catenary Support Components? Images -- Positioning of Catenary Support Components -- Detection of Catenary Support Component Defect and Fault -- Detection of The parameters of Catenary Support Devices based on 3D Point Clouds. 330 $aThis book focuses on the deep learning technologies and their applications in the catenary detection of high-speed railways. As the only source of power for high-speed trains, the catenary's service performance directly affects the safe operation of high-speed railways. This book systematically shows the latest research results of catenary detection in high-speed railways, especially the detection of catenary support component defect and fault. Some methods or algorithms have been adopted in practical engineering. These methods or algorithms provide important references and help the researcher, scholar, and engineer on pantograph and catenary technology in high-speed railways. Unlike traditional detection methods of catenary support component based on image processing, some advanced methods in the deep learning field, including convolutional neural network, reinforcement learning, generative adversarial network, etc., are adopted and improved in this book. The main contents include the overview of catenary detection of electrified railways, the introduction of some advance of deep learning theories, catenary support components and their characteristics in high-speed railways, the image reprocessing of catenary support components, the positioning of catenary support components, the detection of defect and fault, the detection based on 3D point cloud, etc. 410 0$aAdvances in High-speed Rail Technology,$x2363-5029 606 $aRailroad engineering 606 $aMachine learning 606 $aSignal processing 606 $aQuantitative research 606 $aTransportation engineering 606 $aTraffic engineering 606 $aArtificial intelligence 606 $aRail Vehicles 606 $aMachine Learning 606 $aSignal, Speech and Image Processing 606 $aData Analysis and Big Data 606 $aTransportation Technology and Traffic Engineering 606 $aArtificial Intelligence 615 0$aRailroad engineering. 615 0$aMachine learning. 615 0$aSignal processing. 615 0$aQuantitative research. 615 0$aTransportation engineering. 615 0$aTraffic engineering. 615 0$aArtificial intelligence. 615 14$aRail Vehicles. 615 24$aMachine Learning. 615 24$aSignal, Speech and Image Processing. 615 24$aData Analysis and Big Data. 615 24$aTransportation Technology and Traffic Engineering. 615 24$aArtificial Intelligence. 676 $a006.31 700 $aLiu$b Zhigang$0739891 702 $aLiu$b Wenqiang 702 $aZhong$b Junping 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910686480303321 996 $aDeep Learning-Based Detection of Catenary Support Component Defect and Fault in High-Speed Railways$93334635 997 $aUNINA