{"id":"https://openalex.org/W3021865040","doi":"https://doi.org/10.1061/(asce)cp.1943-5487.0000900","title":"Recognition of High-Risk Scenarios in Building Construction Based on Image Semantics","display_name":"Recognition of High-Risk Scenarios in Building Construction Based on Image Semantics","publication_year":2020,"publication_date":"2020-05-07","ids":{"openalex":"https://openalex.org/W3021865040","doi":"https://doi.org/10.1061/(asce)cp.1943-5487.0000900","mag":"3021865040"},"language":"en","primary_location":{"id":"doi:10.1061/(asce)cp.1943-5487.0000900","is_oa":false,"landing_page_url":"https://doi.org/10.1061/(asce)cp.1943-5487.0000900","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","raw_type":"journal-article"},"type":"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/A5100761768","display_name":"Mingyuan Zhang","orcid":"https://orcid.org/0000-0002-0001-9049"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Mingyuan Zhang","raw_affiliation_strings":["Associate Professor, Dept. of Construction Management, Dalian Univ. of Technology, Dalian 116000, China (corresponding author)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Associate Professor, Dept. of Construction Management, Dalian Univ. of Technology, Dalian 116000, China (corresponding author)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083619487","display_name":"Mi Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mi Zhu","raw_affiliation_strings":["Postgraduate, Dept. of Construction Management, Dalian Univ. of Technology, Dalian 116000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Postgraduate, Dept. of Construction Management, Dalian Univ. of Technology, Dalian 116000, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042833305","display_name":"Xuefeng Zhao","orcid":"https://orcid.org/0000-0002-1704-4021"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]},{"id":"https://openalex.org/I4210092944","display_name":"Dalian University","ror":"https://ror.org/00g2ypp58","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210092944"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefeng Zhao","raw_affiliation_strings":["Professor, School of Civil Engineering, Dalian Univ. of Technology, Dalian 116000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Professor, School of Civil Engineering, Dalian Univ. of Technology, Dalian 116000, China","institution_ids":["https://openalex.org/I27357992","https://openalex.org/I4210092944"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100761768"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.7729,"has_fulltext":false,"cited_by_count":67,"citation_normalized_percentile":{"value":0.97149701,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"34","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10809","display_name":"Occupational Health and Safety Research","score":0.9646999835968018,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10809","display_name":"Occupational Health and Safety Research","score":0.9646999835968018,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9293000102043152,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7517316341400146},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.7330905199050903},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.616817057132721},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5533721446990967},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.545574426651001},{"id":"https://openalex.org/keywords/inference-engine","display_name":"Inference engine","score":0.48905619978904724},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.4648617208003998},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.42207956314086914},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4007418155670166}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7517316341400146},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.7330905199050903},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.616817057132721},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5533721446990967},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.545574426651001},{"id":"https://openalex.org/C46743427","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference engine","level":3,"score":0.48905619978904724},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.4648617208003998},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.42207956314086914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4007418155670166},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1061/(asce)cp.1943-5487.0000900","is_oa":false,"landing_page_url":"https://doi.org/10.1061/(asce)cp.1943-5487.0000900","pdf_url":null,"source":{"id":"https://openalex.org/S176637136","display_name":"Journal of Computing in Civil Engineering","issn_l":"0887-3801","issn":["0887-3801","1943-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315747","host_organization_name":"American Society of Civil Engineers","host_organization_lineage":["https://openalex.org/P4310315747"],"host_organization_lineage_names":["American Society of Civil Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing in Civil Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W852874","https://openalex.org/W579182636","https://openalex.org/W639708223","https://openalex.org/W1487583988","https://openalex.org/W1562643504","https://openalex.org/W1713911097","https://openalex.org/W1963805675","https://openalex.org/W1965084916","https://openalex.org/W1966941463","https://openalex.org/W1968424563","https://openalex.org/W1969187022","https://openalex.org/W1980161692","https://openalex.org/W1995736000","https://openalex.org/W1997589242","https://openalex.org/W2001780067","https://openalex.org/W2015157914","https://openalex.org/W2023168375","https://openalex.org/W2039288204","https://openalex.org/W2046337672","https://openalex.org/W2057868251","https://openalex.org/W2064132797","https://openalex.org/W2065961009","https://openalex.org/W2084361950","https://openalex.org/W2089831325","https://openalex.org/W2095676734","https://openalex.org/W2100376711","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2144560128","https://openalex.org/W2149088085","https://openalex.org/W2168852042","https://openalex.org/W2261812172","https://openalex.org/W2307204491","https://openalex.org/W2316883654","https://openalex.org/W2333181379","https://openalex.org/W2340900365","https://openalex.org/W2357750482","https://openalex.org/W2364543452","https://openalex.org/W2390530447","https://openalex.org/W2407521645","https://openalex.org/W2542441117","https://openalex.org/W2548787259","https://openalex.org/W2560831077","https://openalex.org/W2610419604","https://openalex.org/W2624285712","https://openalex.org/W2755750419","https://openalex.org/W2761891891","https://openalex.org/W2788273357","https://openalex.org/W2791834423","https://openalex.org/W2794047062","https://openalex.org/W2794284562","https://openalex.org/W2795378892","https://openalex.org/W2803429134","https://openalex.org/W2803862859","https://openalex.org/W2804911821","https://openalex.org/W2805005207","https://openalex.org/W2883397386","https://openalex.org/W2884022949","https://openalex.org/W2887490440","https://openalex.org/W2888016381","https://openalex.org/W2900991105","https://openalex.org/W2922424058","https://openalex.org/W2972872526","https://openalex.org/W7023842220"],"related_works":["https://openalex.org/W2057057690","https://openalex.org/W2368184788","https://openalex.org/W2358964818","https://openalex.org/W2359535128","https://openalex.org/W2381332051","https://openalex.org/W2321443665","https://openalex.org/W2375699995","https://openalex.org/W2043719711","https://openalex.org/W2140069467","https://openalex.org/W2364072231"],"abstract_inverted_index":{"The":[0,182],"action":[1],"analysis":[2],"and":[3,36,51,62,82,108,139,167,176],"semantic":[4,77,97,120],"interpretation":[5],"of":[6,16,104,111,122,127,178,192],"images":[7,88,123],"have":[8],"recently":[9],"attracted":[10],"increased":[11],"attention":[12],"in":[13,47],"the":[14,102,112,118,146,174,179,190],"field":[15],"computer":[17,30],"vision.":[18],"However,":[19],"it":[20],"is":[21,64,72,99,114,162],"difficult":[22],"for":[23],"an":[24,55,95,165],"intelligent":[25],"monitoring":[26],"method":[27,58,184],"based":[28],"on":[29],"vision":[31],"to":[32,74,116,172,188],"understand":[33],"complex":[34],"scenarios":[35],"describe":[37],"hazardous":[38],"events":[39],"from":[40,79,87,90],"a":[41,48,67,91,105,152,157],"surveillance":[42,92],"video.":[43,93],"To":[44],"identify":[45],"risks":[46],"construction":[49,53,106,131,147,193],"process":[50],"prevent":[52],"accidents,":[54],"automatic":[56],"identification":[57],"combining":[59],"object":[60],"detection":[61],"ontology":[63,96,113,137],"proposed.":[65],"First,":[66],"faster":[68],"region-convolutional":[69],"neural":[70],"network":[71,98],"used":[73,115,171,187],"extract":[75],"low-level":[76,119],"information":[78,121],"scene":[80,161],"elements":[81],"element":[83],"spatial":[84],"relationship":[85],"attributes":[86],"exported":[89],"Second,":[94],"established":[100],"within":[101],"scope":[103],"scene,":[107],"logical":[109],"language":[110],"transform":[117],"into":[124,136],"high-level":[125],"semantics":[126],"event":[128],"descriptions.":[129],"Third,":[130],"risk":[132],"rules":[133],"are":[134,149,170],"translated":[135],"rules,":[138],"high-risk":[140],"situations":[141],"that":[142],"may":[143],"arise":[144],"at":[145],"site":[148],"identified":[150],"by":[151],"Pellet":[153],"inference":[154],"engine.":[155],"Finally,":[156],"foundation":[158],"pit":[159],"excavation":[160],"taken":[163],"as":[164],"example,":[166],"test":[168],"results":[169],"verify":[173],"feasibility":[175],"effectiveness":[177],"proposed":[180,183],"method.":[181],"can":[185],"be":[186],"improve":[189],"efficiency":[191],"safety":[194],"management.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}