{"id":"https://openalex.org/W3099817345","doi":"https://doi.org/10.1109/iecon43393.2020.9254584","title":"An Attachment Recognition Method Based on Image Generation and Semantic Segmentation for Marine Current Turbines","display_name":"An Attachment Recognition Method Based on Image Generation and Semantic Segmentation for Marine Current Turbines","publication_year":2020,"publication_date":"2020-10-18","ids":{"openalex":"https://openalex.org/W3099817345","doi":"https://doi.org/10.1109/iecon43393.2020.9254584","mag":"3099817345"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon43393.2020.9254584","pdf_url":null,"source":{"id":"https://openalex.org/S4363608618","display_name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065958776","display_name":"Haiyang Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyang Peng","raw_affiliation_strings":["Shanghai Maritime University,Logistics Engineering College,Shanghai,China,201306"],"affiliations":[{"raw_affiliation_string":"Shanghai Maritime University,Logistics Engineering College,Shanghai,China,201306","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030448202","display_name":"Tianzhen Wang","orcid":"https://orcid.org/0000-0002-7525-8466"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianzhen Wang","raw_affiliation_strings":["Shanghai Maritime University,Logistics Engineering College,Shanghai,China,201306"],"affiliations":[{"raw_affiliation_string":"Shanghai Maritime University,Logistics Engineering College,Shanghai,China,201306","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071034276","display_name":"Shreya Pandey","orcid":null},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shreya Pandey","raw_affiliation_strings":["Shanghai Maritime University,Logistics Engineering College,Shanghai,China,201306"],"affiliations":[{"raw_affiliation_string":"Shanghai Maritime University,Logistics Engineering College,Shanghai,China,201306","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103065612","display_name":"Lisu Chen","orcid":"https://orcid.org/0000-0003-4756-0657"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lisu Chen","raw_affiliation_strings":["Shanghai Maritime University,College of Ocean Science and Engineerting,Shanghai,China,201306"],"affiliations":[{"raw_affiliation_string":"Shanghai Maritime University,College of Ocean Science and Engineerting,Shanghai,China,201306","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079950677","display_name":"Funa Zhou","orcid":"https://orcid.org/0000-0003-3592-9664"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Funa Zhou","raw_affiliation_strings":["Shanghai Maritime University,Logistics Engineering College,Shanghai,China,201306"],"affiliations":[{"raw_affiliation_string":"Shanghai Maritime University,Logistics Engineering College,Shanghai,China,201306","institution_ids":["https://openalex.org/I96733725"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.143,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.421685,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":74,"max":77},"biblio":{"volume":null,"issue":null,"first_page":"2819","last_page":"2824"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9979,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9979,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10680","display_name":"Wind Energy Research and Development","score":0.9837,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9596,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49291682},{"id":"https://openalex.org/keywords/backbone-network","display_name":"Backbone network","score":0.44258144},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.4418774},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.43833318}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.79397345},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7294151},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6430844},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49291682},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.49033308},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47941443},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4789708},{"id":"https://openalex.org/C88796919","wikidata":"https://www.wikidata.org/wiki/Q1142907","display_name":"Backbone network","level":2,"score":0.44258144},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.4418774},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.43833318},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.43081373},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42340705},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3217594},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon43393.2020.9254584","pdf_url":null,"source":{"id":"https://openalex.org/S4363608618","display_name":"IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.56,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":22,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1836465849","https://openalex.org/W1901129140","https://openalex.org/W2056568601","https://openalex.org/W2063405653","https://openalex.org/W2110764733","https://openalex.org/W2165698076","https://openalex.org/W2194775991","https://openalex.org/W2293078015","https://openalex.org/W2509719309","https://openalex.org/W2571033860","https://openalex.org/W2599627558","https://openalex.org/W2630837129","https://openalex.org/W2734978243","https://openalex.org/W2774594453","https://openalex.org/W2886075188","https://openalex.org/W2901634317","https://openalex.org/W2949117887","https://openalex.org/W2963881378","https://openalex.org/W2964059111","https://openalex.org/W582134693","https://openalex.org/W6908809"],"related_works":["https://openalex.org/W4387678054","https://openalex.org/W4306784355","https://openalex.org/W4246226292","https://openalex.org/W4226054107","https://openalex.org/W4221148444","https://openalex.org/W3095575180","https://openalex.org/W2784004155","https://openalex.org/W2389596151","https://openalex.org/W2373577936","https://openalex.org/W2037375427"],"abstract_inverted_index":{"Marine":[0],"current":[1,13],"turbine":[2],"(MCT)":[3],"is":[4,32,53,83,140,153],"an":[5,40,95],"efficient":[6],"device":[7],"for":[8,19],"the":[9,28,47,112,125,136,144,158,161],"utilization":[10],"of":[11,67,114,160],"marine":[12,23],"energy.":[14],"As":[15],"MCTs":[16],"operate":[17],"underwater":[18,91],"a":[20,54,64,74,148,165],"long":[21],"time,":[22],"growth":[24],"will":[25,44],"attach":[26],"to":[27,34,57,110,123,130,142],"machinery.":[29],"Therefore,":[30],"it":[31],"essential":[33],"recognize":[35],"attachment":[36,43,87,150],"on":[37,89],"MCTs,":[38],"since":[39],"increase":[41],"in":[42],"potentially":[45],"deteriorate":[46],"power":[48],"generation":[49,77],"quality.":[50],"Semantic":[51],"segmentation":[52,98,133,177],"suitable":[55],"technique":[56],"perform":[58],"this":[59,101],"task,":[60],"which":[61],"however":[62],"requires":[63],"large":[65],"amount":[66],"labeled":[68],"data.":[69],"To":[70],"acquire":[71],"sufficient":[72],"data,":[73],"specialized":[75],"image":[76],"method":[78,163],"without":[79],"high":[80],"manual":[81],"cost":[82],"proposed.":[84],"For":[85],"precise":[86,149],"recognition":[88,115,145],"blurry":[90],"images,":[92],"we":[93,118],"propose":[94],"improved":[96],"semantic":[97],"network":[99,102,126],"(C-SegNet);":[100],"adopts":[103],"multi-scale":[104],"feature":[105],"concatenation":[106],"and":[107,147],"transfer":[108],"learning":[109],"enhance":[111],"quality":[113],"results.":[116],"Besides,":[117],"use":[119],"weighted":[120],"cross-entropy":[121],"loss":[122],"make":[124],"pay":[127],"more":[128],"attention":[129],"some":[131],"difficult":[132],"objects.":[134],"In":[135,168],"inference":[137],"phase,":[138],"dropout":[139],"utilized":[141],"estimate":[143],"uncertainty,":[146],"area":[151],"ratio":[152],"computed.":[154],"Experimental":[155],"results":[156],"confirm":[157],"effectiveness":[159],"proposed":[162],"under":[164],"submerged":[166],"scene.":[167],"addition,":[169],"C-SegNet":[170],"has":[171],"better":[172],"performance":[173],"than":[174],"other":[175],"state-of-the-art":[176],"networks.":[178]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3099817345","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2024-12-14T19:52:41.718209","created_date":"2020-11-23"}