{"id":"https://openalex.org/W2169791524","doi":"https://doi.org/10.1109/icra.2012.6224633","title":"Preliminary study of a dynamic-moving-window scheme for Virtual-Metrology model refreshing","display_name":"Preliminary study of a dynamic-moving-window scheme for Virtual-Metrology model refreshing","publication_year":2012,"publication_date":"2012-05-01","ids":{"openalex":"https://openalex.org/W2169791524","doi":"https://doi.org/10.1109/icra.2012.6224633","mag":"2169791524"},"language":"en","primary_location":{"id":"doi:10.1109/icra.2012.6224633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2012.6224633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Robotics and Automation","raw_type":"proceedings-article"},"type":"conference-paper","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/A5114626552","display_name":"Weiming Wu","orcid":"https://orcid.org/0000-0003-1016-0051"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-Ming Wu","raw_affiliation_strings":["Institute of Manufacturing Information and Systems, National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Manufacturing Information and Systems, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037509897","display_name":"Fan\u2010Tien Cheng","orcid":"https://orcid.org/0000-0001-8201-223X"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Fan-Tien Cheng","raw_affiliation_strings":["Institute of Manufacturing Information and Systems, National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Manufacturing Information and Systems, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090340870","display_name":"Min\u2010Hsiung Hung","orcid":"https://orcid.org/0000-0003-2458-471X"},"institutions":[{"id":"https://openalex.org/I205612303","display_name":"Chinese Culture University","ror":"https://ror.org/04shepe48","country_code":"TW","type":"education","lineage":["https://openalex.org/I205612303"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Min-Hsiung Hung","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Chinese Culture University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Chinese Culture University, Taipei, Taiwan","institution_ids":["https://openalex.org/I205612303"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2767,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.87990304,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"5044","last_page":"5049"},"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":0.9957000017166138,"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":0.9957000017166138,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10188","display_name":"Advanced machining processes and optimization","score":0.963100016117096,"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/metrology","display_name":"Metrology","score":0.7580248117446899},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7127323150634766},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6685426235198975},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.6305900812149048},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.591792106628418},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5579121112823486},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.556686282157898},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.47017043828964233},{"id":"https://openalex.org/keywords/process-window","display_name":"Process window","score":0.4294889569282532},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4201722741127014},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4183928966522217},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4101996421813965},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.36755335330963135},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.364529013633728},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32233017683029175},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3218191862106323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14182105660438538},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12025216221809387},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10540324449539185},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0936465859413147}],"concepts":[{"id":"https://openalex.org/C195766429","wikidata":"https://www.wikidata.org/wiki/Q394","display_name":"Metrology","level":2,"score":0.7580248117446899},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7127323150634766},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6685426235198975},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.6305900812149048},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.591792106628418},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5579121112823486},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.556686282157898},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.47017043828964233},{"id":"https://openalex.org/C2777441419","wikidata":"https://www.wikidata.org/wiki/Q16969460","display_name":"Process window","level":3,"score":0.4294889569282532},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4201722741127014},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4183928966522217},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4101996421813965},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36755335330963135},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.364529013633728},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32233017683029175},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3218191862106323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14182105660438538},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12025216221809387},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10540324449539185},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0936465859413147},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icra.2012.6224633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icra.2012.6224633","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Robotics and Automation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.46000000834465027,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2031862826","https://openalex.org/W2068568515","https://openalex.org/W2070963892","https://openalex.org/W2075852334","https://openalex.org/W2102445355","https://openalex.org/W2104381478","https://openalex.org/W2115571336","https://openalex.org/W2144219012","https://openalex.org/W2152477898","https://openalex.org/W2154829656","https://openalex.org/W2159554491","https://openalex.org/W4250621041"],"related_works":["https://openalex.org/W1998546186","https://openalex.org/W2061967405","https://openalex.org/W2174860717","https://openalex.org/W2392646414","https://openalex.org/W2110528520","https://openalex.org/W2590542424","https://openalex.org/W2021243286","https://openalex.org/W2109115373","https://openalex.org/W2755767658","https://openalex.org/W2113107144"],"abstract_inverted_index":{"Virtual":[0],"Metrology":[1],"(VM)":[2],"is":[3,29,115,153,161,178],"a":[4,11,46,100,118,130,138],"method":[5],"to":[6,31,43,74,116,141],"conjecture":[7,190],"manufacturing":[8],"quality":[9],"of":[10,52,83,112,148,159,194],"process":[12,20,47],"tool":[13,21],"based":[14],"on":[15,56],"data":[16,28],"sensed":[17],"from":[18],"the":[19,33,57,84,107,134,146,156,164,168,172,175,184,195],"and":[22,37,63,86,136],"without":[23],"physical":[24],"metrology":[25],"operations.":[26],"Historical":[27],"used":[30],"produce":[32],"initial":[34],"VM":[35,53,123],"models,":[36],"then":[38,167],"these":[39,92],"models":[40,85],"are":[41,104],"applied":[42],"operate":[44],"in":[45,150,171],"drift/shift":[48],"environment.":[49],"The":[50,110,126],"accuracy":[51,191],"highly":[54],"depends":[55],"modeling":[58],"samples":[59],"adopted":[60,105],"during":[61,106],"initial-creating":[62],"on-line-refreshing":[64,108],"periods.":[65],"Since":[66],"design-of-experiments":[67],"(DOE)":[68],"may":[69],"not":[70],"be":[71],"performed":[72],"due":[73],"large":[75],"resources":[76],"required,":[77],"how":[78],"could":[79],"we":[80],"guarantee":[81],"stability":[82],"predictions":[87],"when":[88],"they":[89],"move":[90],"into":[91,133],"unknown":[93],"environments?":[94],"Conventionally,":[95],"static-moving-window":[96],"(SMW)":[97],"schemes":[98],"with":[99,174],"fixed":[101],"window":[102],"size":[103],"period.":[109],"purpose":[111],"this":[113],"paper":[114],"propose":[117],"dynamic-moving-window":[119],"(DMW)":[120],"scheme":[121,128,186],"for":[122],"model":[124,135],"refreshing.":[125],"DMW":[127,185],"adds":[129],"new":[131],"sample":[132,170],"applies":[137],"clustering":[139],"technology":[140],"do":[142],"similarity":[143],"clustering.":[144],"Next,":[145],"number":[147,158],"elements":[149,160],"each":[151],"cluster":[152,173],"checked.":[154],"If":[155],"largest":[157,176],"greater":[162],"than":[163,192],"predefined":[165],"threshold,":[166],"oldest":[169],"population":[177],"deleted.":[179],"Test":[180],"results":[181],"show":[182],"that":[183,193],"has":[187],"better":[188],"on-line":[189],"SMW":[196],"scheme.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}