{"id":"https://openalex.org/W2605101416","doi":"https://doi.org/10.1145/3036290.3036316","title":"Corrective Learning of Assistance Force for Opening/Closing of Automobile Door Based on Support Vector Machine","display_name":"Corrective Learning of Assistance Force for Opening/Closing of Automobile Door Based on Support Vector Machine","publication_year":2017,"publication_date":"2017-01-13","ids":{"openalex":"https://openalex.org/W2605101416","doi":"https://doi.org/10.1145/3036290.3036316","mag":"2605101416"},"language":"en","primary_location":{"id":"doi:10.1145/3036290.3036316","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3036290.3036316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 International Conference on Machine Learning and Soft Computing","raw_type":"proceedings-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/A5013388833","display_name":"Hyun-Chan Shin","orcid":null},"institutions":[{"id":"https://openalex.org/I162706563","display_name":"Hoseo University","ror":"https://ror.org/01qyd4k24","country_code":"KR","type":"education","lineage":["https://openalex.org/I162706563"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyun-Chan Shin","raw_affiliation_strings":["Dep. of Mechanical Eng., Graduate School, Hoseo Univ., Baebang, Asan, Korea"],"affiliations":[{"raw_affiliation_string":"Dep. of Mechanical Eng., Graduate School, Hoseo Univ., Baebang, Asan, Korea","institution_ids":["https://openalex.org/I162706563"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082040210","display_name":"HacJin Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I106601093","display_name":"Dongyang Mirae University","ror":"https://ror.org/00j78xh95","country_code":"KR","type":"education","lineage":["https://openalex.org/I106601093"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hac-Jin Yang","raw_affiliation_strings":["School of Robot &amp; Automation Engineering, Dongyang Mirae Univ., Guro-gu, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"School of Robot &amp; Automation Engineering, Dongyang Mirae Univ., Guro-gu, Seoul, Korea","institution_ids":["https://openalex.org/I106601093"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039327784","display_name":"Seong-Kun Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I162706563","display_name":"Hoseo University","ror":"https://ror.org/01qyd4k24","country_code":"KR","type":"education","lineage":["https://openalex.org/I162706563"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seong-Kun Kim","raw_affiliation_strings":["School of Mechanical Engineering, Hoseo Univ., Baebang, Asan, Korea"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Hoseo Univ., Baebang, Asan, Korea","institution_ids":["https://openalex.org/I162706563"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5013388833"],"corresponding_institution_ids":["https://openalex.org/I162706563"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04081389,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"219","last_page":"223"},"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":0.9829999804496765,"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":0.9829999804496765,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9745000004768372,"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"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9671000242233276,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/closing","display_name":"Closing (real estate)","score":0.6992464065551758},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.6955164074897766},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6863493323326111},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5852118134498596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.560836672782898},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5550419092178345},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5353885889053345},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5001327991485596},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.4317638874053955},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3477479815483093}],"concepts":[{"id":"https://openalex.org/C2778775528","wikidata":"https://www.wikidata.org/wiki/Q5135432","display_name":"Closing (real estate)","level":2,"score":0.6992464065551758},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.6955164074897766},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6863493323326111},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5852118134498596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.560836672782898},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5550419092178345},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5353885889053345},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5001327991485596},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4317638874053955},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3477479815483093},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3036290.3036316","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3036290.3036316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2017 International Conference on Machine Learning and Soft Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1964357740","https://openalex.org/W2015881065","https://openalex.org/W2055522016","https://openalex.org/W2062582882","https://openalex.org/W2158863190","https://openalex.org/W2396689005","https://openalex.org/W2405607229"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W2389739210","https://openalex.org/W2348924972","https://openalex.org/W2365736347","https://openalex.org/W2047454415","https://openalex.org/W2070040999","https://openalex.org/W2387293848","https://openalex.org/W2250140200","https://openalex.org/W3121791438"],"abstract_inverted_index":{"We":[0],"developed":[1],"a":[2,122,131],"corrective":[3],"learning":[4,27,60,83,112],"model":[5,53],"of":[6,12,21,26,41,114,139],"assistance":[7,31,43,72,77,117,127],"force":[8,33,73,78,128,142],"for":[9,29,62,110,124,136],"the":[10,18,22,30,38,42,46,63,71,98,111,115,126,137,144,150],"opening/closing":[11],"an":[13,85],"automobile":[14],"door":[15,116,132,141],"depending":[16],"on":[17],"various":[19],"condition":[20],"parking":[23],"ground.":[24],"Candidates":[25],"models":[28],"operating":[32],"were":[34,95],"compared":[35,101],"to":[36,45,58,69,74,129,134],"determine":[37],"proper":[39],"estimation":[40],"according":[44],"slope":[47,145],"and":[48,90,97],"user's":[49],"force,":[50],"etc.":[51],"Experimental":[52],"was":[54,67,100],"manufactured":[55],"in":[56,143,149],"scale":[57],"obtain":[59],"data":[61],"estimation.":[64],"Learning":[65],"algorithm":[66],"composed":[68],"predict":[70],"incorporate":[75],"real":[76],"data.":[79],"Among":[80],"these":[81,103],"machine":[82],"algorithms,":[84],"Artificial":[86],"Neural":[87],"Network":[88],"(ANN)":[89],"Support":[91],"Vector":[92],"Machine":[93],"(SVM)":[94],"applied":[96],"adaptability":[99,109],"between":[102],"models.":[104],"The":[105],"SVM":[106],"provided":[107],"more":[108],"process":[113],"force.":[118],"This":[119],"paper":[120],"proposes":[121],"system":[123],"determining":[125],"control":[130],"motor":[133],"compensate":[135],"deviation":[138],"required":[140],"condition,":[146],"as":[147],"needed":[148],"plane":[151],"condition.":[152]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
