{"id":"https://openalex.org/W7129094192","doi":"https://doi.org/10.1007/s42979-026-04804-0","title":"Detecting Door-Closing Defects Via Pre-Training with Physics-Based Simulations","display_name":"Detecting Door-Closing Defects Via Pre-Training with Physics-Based Simulations","publication_year":2026,"publication_date":"2026-02-16","ids":{"openalex":"https://openalex.org/W7129094192","doi":"https://doi.org/10.1007/s42979-026-04804-0"},"language":"en","primary_location":{"id":"doi:10.1007/s42979-026-04804-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42979-026-04804-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42979-026-04804-0.pdf","source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s42979-026-04804-0.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111531633","display_name":"Yota Yamamoto","orcid":null},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yota Yamamoto","raw_affiliation_strings":["Department of Information and Computer Technology, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-ku, Tokyo, 125-8585, Japan"],"raw_orcid":"https://orcid.org/0000-0002-1679-5050","affiliations":[{"raw_affiliation_string":"Department of Information and Computer Technology, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-ku, Tokyo, 125-8585, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019344791","display_name":"Ryoga Takahashi","orcid":null},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryoga Takahashi","raw_affiliation_strings":["Department of Information and Computer Technology, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-ku, Tokyo, 125-8585, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Computer Technology, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-ku, Tokyo, 125-8585, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091227949","display_name":"Ryosuke Furuta","orcid":"https://orcid.org/0000-0003-1441-889X"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]},{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryosuke Furuta","raw_affiliation_strings":["Department of Information and Computer Technology, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-ku, Tokyo, 125-8585, Japan","Institute of Industrial Science, The University of Tokyo, 4-6-1 Komada, Meguro-ku, Tokyo, 153-8585, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Computer Technology, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-ku, Tokyo, 125-8585, Japan","institution_ids":["https://openalex.org/I161296585"]},{"raw_affiliation_string":"Institute of Industrial Science, The University of Tokyo, 4-6-1 Komada, Meguro-ku, Tokyo, 153-8585, Japan","institution_ids":["https://openalex.org/I114531698","https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108748465","display_name":"Yukinobu Taniguchi","orcid":"https://orcid.org/0000-0003-3290-1041"},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yukinobu Taniguchi","raw_affiliation_strings":["Department of Information and Computer Technology, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-ku, Tokyo, 125-8585, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information and Computer Technology, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-ku, Tokyo, 125-8585, Japan","institution_ids":["https://openalex.org/I161296585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111531633"],"corresponding_institution_ids":["https://openalex.org/I161296585"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":{"value":2890,"currency":"USD","value_usd":2890},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14369203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.39739999175071716,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.39739999175071716,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10036","display_name":"Advanced Neural Network Applications","score":0.11599999666213989,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.019099999219179153,"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/visual-inspection","display_name":"Visual inspection","score":0.6175000071525574},{"id":"https://openalex.org/keywords/closing","display_name":"Closing (real estate)","score":0.5259000062942505},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4447999894618988},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.3977000117301941},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.38370001316070557},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.3783000111579895},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36500000953674316},{"id":"https://openalex.org/keywords/experimental-data","display_name":"Experimental data","score":0.3433000147342682}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6779000163078308},{"id":"https://openalex.org/C168820333","wikidata":"https://www.wikidata.org/wiki/Q448889","display_name":"Visual inspection","level":2,"score":0.6175000071525574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5611000061035156},{"id":"https://openalex.org/C2778775528","wikidata":"https://www.wikidata.org/wiki/Q5135432","display_name":"Closing (real estate)","level":2,"score":0.5259000062942505},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45879998803138733},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4447999894618988},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3977000117301941},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.38370001316070557},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3783000111579895},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36500000953674316},{"id":"https://openalex.org/C55037315","wikidata":"https://www.wikidata.org/wiki/Q5421151","display_name":"Experimental data","level":2,"score":0.3433000147342682},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3296000063419342},{"id":"https://openalex.org/C184992742","wikidata":"https://www.wikidata.org/wiki/Q7243229","display_name":"Prime (order theory)","level":2,"score":0.32199999690055847},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3208000063896179},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.31459999084472656},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.3070000112056732},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3037000000476837},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.30250000953674316},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.3012000024318695},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.2906999886035919},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.26499998569488525},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.2551000118255615}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s42979-026-04804-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42979-026-04804-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42979-026-04804-0.pdf","source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s42979-026-04804-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42979-026-04804-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42979-026-04804-0.pdf","source":{"id":"https://openalex.org/S4210174798","display_name":"SN Computer Science","issn_l":"2661-8907","issn":["2661-8907","2662-995X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SN Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6285657286643982,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7129094192.pdf","grobid_xml":"https://content.openalex.org/works/W7129094192.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W2046033161","https://openalex.org/W2899283552","https://openalex.org/W2948982773","https://openalex.org/W2963045681","https://openalex.org/W2963155035","https://openalex.org/W2963524571","https://openalex.org/W2963795951","https://openalex.org/W3160258528","https://openalex.org/W3169651898","https://openalex.org/W3206170757","https://openalex.org/W4214612132","https://openalex.org/W4312560592","https://openalex.org/W4390357426","https://openalex.org/W4408111810"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"In":[1],"this":[2,66],"paper,":[3],"we":[4],"propose":[5],"a":[6,132],"method":[7,73,114,151,157],"for":[8,43,68],"detecting":[9],"door-closing":[10,161],"defects":[11],"using":[12,60],"physics-based":[13,79],"simulations.":[14],"Quantitative":[15],"inspection":[16,51,128],"of":[17,39,86,135],"industrial":[18],"products":[19],"is":[20,92],"essential":[21],"to":[22,94,118],"suppress":[23],"human":[24,34],"error":[25],"and":[26,45,56,104,139,155],"variability":[27],"in":[28,123],"evaluation.":[29],"Door-closing":[30],"inspections":[31],"relying":[32],"on":[33,142],"sensory":[35],"evaluations":[36],"are":[37],"one":[38],"the":[40,71,83,107,116,156],"prime":[41],"targets":[42],"quantification":[44],"automation.":[46],"Developing":[47],"deep":[48],"learning-based":[49],"visual":[50],"models":[52],"typically":[53],"requires":[54],"time-consuming":[55],"labor-intensive":[57],"data":[58,69,76,163],"collection":[59],"specialized":[61,143,166],"measurement":[62,144],"equipment.":[63],"To":[64],"eliminate":[65],"need":[67],"collection,":[70],"proposed":[72],"uses":[74,159],"synthetic":[75],"generated":[77],"with":[78,110,130,165],"simulations":[80],"that":[81,149,158],"capture":[82],"physical":[84,121],"dynamics":[85],"door-closing.":[87],"A":[88],"multi-task":[89],"learning":[90],"framework":[91],"designed":[93],"simultaneously":[95],"perform":[96],"binary":[97],"classification":[98],"(distinguishing":[99],"normal":[100],"from":[101],"defective":[102],"doors)":[103],"regression":[105],"(estimating":[106],"closing":[108],"energy),":[109],"shared":[111],"parameters.":[112],"This":[113],"enables":[115],"model":[117],"acquire":[119],"detailed":[120],"knowledge":[122],"advance,":[124],"thereby":[125],"achieving":[126],"high":[127],"accuracy":[129],"only":[131],"small":[133],"amount":[134],"real-world":[136],"image":[137],"data,":[138],"without":[140],"dependence":[141],"systems.":[145],"Experimental":[146],"results":[147],"demonstrate":[148],"our":[150],"outperforms":[152],"existing":[153],"approaches":[154],"ground-truth":[160],"energy":[162],"collected":[164],"measuring":[167],"devices.":[168]},"counts_by_year":[],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2026-02-17T00:00:00"}
