{"id":"https://openalex.org/W2018083879","doi":"https://doi.org/10.1109/dictap.2012.6215370","title":"A study on the comparison of positioning tolerances depending on the state of vision sensors","display_name":"A study on the comparison of positioning tolerances depending on the state of vision sensors","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2018083879","doi":"https://doi.org/10.1109/dictap.2012.6215370","mag":"2018083879"},"language":"en","primary_location":{"id":"doi:10.1109/dictap.2012.6215370","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dictap.2012.6215370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 Second International Conference on Digital Information and Communication Technology and it's Applications (DICTAP)","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/A5016583474","display_name":"Younghoon Kho","orcid":null},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Younghoon Kho","raw_affiliation_strings":["Industrial Engineering (IE), Ajou University, Suwon, South Korea"],"affiliations":[{"raw_affiliation_string":"Industrial Engineering (IE), Ajou University, Suwon, South Korea","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073211722","display_name":"Yongjin Kwon","orcid":null},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yongjin Kwon","raw_affiliation_strings":["Industrial Engineering (IE), Ajou University, Suwon, South Korea"],"affiliations":[{"raw_affiliation_string":"Industrial Engineering (IE), Ajou University, Suwon, South Korea","institution_ids":["https://openalex.org/I57664883"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5016583474"],"corresponding_institution_ids":["https://openalex.org/I57664883"],"apc_list":null,"apc_paid":null,"fwci":0.6848,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.75395765,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"23","issue":null,"first_page":"141","last_page":"144"},"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":0.9994000196456909,"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":0.9994000196456909,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9980000257492065,"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/T11583","display_name":"Advanced Measurement and Metrology Techniques","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/machine-vision","display_name":"Machine vision","score":0.7402220368385315},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7070282697677612},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6818355917930603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6791215538978577},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5718130469322205},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.561522901058197},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5521732568740845},{"id":"https://openalex.org/keywords/robot-vision","display_name":"Robot vision","score":0.4164621829986572},{"id":"https://openalex.org/keywords/conveyor-belt","display_name":"Conveyor belt","score":0.41547542810440063},{"id":"https://openalex.org/keywords/mobile-robot","display_name":"Mobile robot","score":0.35037362575531006},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.295251727104187}],"concepts":[{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.7402220368385315},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7070282697677612},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6818355917930603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6791215538978577},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5718130469322205},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.561522901058197},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5521732568740845},{"id":"https://openalex.org/C2983761899","wikidata":"https://www.wikidata.org/wiki/Q604674","display_name":"Robot vision","level":4,"score":0.4164621829986572},{"id":"https://openalex.org/C2777709985","wikidata":"https://www.wikidata.org/wiki/Q770135","display_name":"Conveyor belt","level":2,"score":0.41547542810440063},{"id":"https://openalex.org/C19966478","wikidata":"https://www.wikidata.org/wiki/Q4810574","display_name":"Mobile robot","level":3,"score":0.35037362575531006},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.295251727104187},{"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dictap.2012.6215370","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dictap.2012.6215370","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 Second International Conference on Digital Information and Communication Technology and it's Applications (DICTAP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2001857426","https://openalex.org/W2011111079","https://openalex.org/W2064637627","https://openalex.org/W2068798864","https://openalex.org/W2148498215","https://openalex.org/W6682103201"],"related_works":["https://openalex.org/W3159376255","https://openalex.org/W3118256330","https://openalex.org/W2887725667","https://openalex.org/W2377661076","https://openalex.org/W3168864879","https://openalex.org/W2318398720","https://openalex.org/W2072007712","https://openalex.org/W2156925453","https://openalex.org/W2118030816","https://openalex.org/W2366743434"],"abstract_inverted_index":{"Recent":[0],"manufacturing":[1],"industry":[2],"has":[3,14,18],"become":[4],"automation.":[5],"By":[6],"using":[7,125,134],"robot":[8,22,88],"for":[9],"human's":[10],"work,":[11],"production":[12],"cost":[13],"decreased":[15],"and":[16,30,101,130,145],"productivity":[17],"increased.":[19],"The":[20,44],"latest":[21],"uses":[23,89],"vision":[24,39,71,79,92,128,136,143,147],"system":[25],"which":[26],"means":[27],"complicated":[28],"work":[29],"automated":[31],"tasks":[32],"are":[33,64,81,139],"available.":[34],"But":[35],"lens":[36],"distortion":[37],"of":[38,67,74,83,97,141],"sensor":[40,80,129,144],"causes":[41],"an":[42],"error.":[43],"bigger":[45],"errors":[46,58],"in":[47],"automatic":[48],"assembly":[49],"process":[50],"will":[51],"be":[52],"produce":[53],"defective":[54],"product.":[55],"And":[56],"these":[57],"cause":[59],"a":[60,65,90],"lower":[61],"productivity.":[62],"There":[63],"lot":[66],"robots":[68,76],"that":[69,77,138],"use":[70,78],"sensor.":[72,86,148],"Most":[73],"the":[75,95,98,106,111,120,131],"consist":[82,140],"only":[84,126],"one":[85,91,127],"If":[87],"sensor,":[93],"under":[94],"influence":[96],"sensor's":[99],"location":[100],"illumination,":[102],"moving":[103,146],"objects":[104],"from":[105],"conveyor":[107],"belt":[108],"is":[109,113,124,133],"exactly":[110],"point":[112],"hard":[114],"to":[115],"find.":[116],"This":[117],"study":[118],"compares":[119],"two":[121,135],"cases.":[122],"One":[123],"other":[132],"sensors":[137],"fixed":[142]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}