{"id":"https://openalex.org/W1577151368","doi":"https://doi.org/10.1109/tim.2015.2418684","title":"An Adaptive Support Vector Machine-Based Workpiece Surface Classification System Using High-Definition Metrology","display_name":"An Adaptive Support Vector Machine-Based Workpiece Surface Classification System Using High-Definition Metrology","publication_year":2015,"publication_date":"2015-05-15","ids":{"openalex":"https://openalex.org/W1577151368","doi":"https://doi.org/10.1109/tim.2015.2418684","mag":"1577151368"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2015.2418684","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5054008223","display_name":"Shichang Du","orcid":"https://orcid.org/0000-0003-2408-722X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi-Chang Du","raw_affiliation_strings":["Department of Industrial Engineering and ManagementSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and ManagementSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113526072","display_name":"Delin Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"De-Lin Huang","raw_affiliation_strings":["Department of Industrial Engineering and ManagementSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and ManagementSchool of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100460860","display_name":"Hui Wang","orcid":"https://orcid.org/0000-0002-9412-3516"},"institutions":[{"id":"https://openalex.org/I103163165","display_name":"Florida State University","ror":"https://ror.org/05g3dte14","country_code":"US","type":"education","lineage":["https://openalex.org/I103163165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Wang","raw_affiliation_strings":["Department of Industrial and Manufacturing Engineering, Florida State University, Tallahassee, FL, USA."],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Manufacturing Engineering, Florida State University, Tallahassee, FL, USA.","institution_ids":["https://openalex.org/I103163165"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.931,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":50,"citation_normalized_percentile":{"value":0.999975,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"64","issue":"10","first_page":"2590","last_page":"2604"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11583","display_name":"Advanced Measurement and Metrology Techniques","score":0.9986,"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"}},"topics":[{"id":"https://openalex.org/T11583","display_name":"Advanced Measurement and Metrology Techniques","score":0.9986,"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"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9984,"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/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.9978,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/kernel","display_name":"Kernel (algebra)","score":0.47275123},{"id":"https://openalex.org/keywords/surface-metrology","display_name":"Surface Metrology","score":0.44791612}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.76467395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.56366247},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5564869},{"id":"https://openalex.org/C195766429","wikidata":"https://www.wikidata.org/wiki/Q394","display_name":"Metrology","level":2,"score":0.5497244},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48580933},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.47275123},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.45666152},{"id":"https://openalex.org/C2777625669","wikidata":"https://www.wikidata.org/wiki/Q7645991","display_name":"Surface metrology","level":4,"score":0.44791612},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3381083},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28788045},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20938334},{"id":"https://openalex.org/C71039073","wikidata":"https://www.wikidata.org/wiki/Q3439090","display_name":"Surface finish","level":2,"score":0.110538304},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C79261456","wikidata":"https://www.wikidata.org/wiki/Q443756","display_name":"Profilometer","level":3,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2015.2418684","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation","award_id":"CMMI-1434411"},{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"51275558"},{"funder":"https://openalex.org/F4320327803","funder_display_name":"Shanghai Rising-Star Program","award_id":"13QA1402100"}],"datasets":[],"versions":[],"referenced_works_count":65,"referenced_works":["https://openalex.org/W141057635","https://openalex.org/W1563088657","https://openalex.org/W1577668191","https://openalex.org/W1625253281","https://openalex.org/W1869391892","https://openalex.org/W1970331804","https://openalex.org/W1976398916","https://openalex.org/W1981976602","https://openalex.org/W1982288837","https://openalex.org/W1988790447","https://openalex.org/W1999508011","https://openalex.org/W1999663947","https://openalex.org/W1999683729","https://openalex.org/W2008292066","https://openalex.org/W2009831214","https://openalex.org/W2013124207","https://openalex.org/W2020355555","https://openalex.org/W2025629501","https://openalex.org/W2041399278","https://openalex.org/W2041671381","https://openalex.org/W2046508571","https://openalex.org/W2054875385","https://openalex.org/W2058426250","https://openalex.org/W2059115408","https://openalex.org/W2062845783","https://openalex.org/W2066250755","https://openalex.org/W2066840954","https://openalex.org/W2067173330","https://openalex.org/W2068082466","https://openalex.org/W2068176870","https://openalex.org/W2069878088","https://openalex.org/W2078688648","https://openalex.org/W2084814415","https://openalex.org/W2091760381","https://openalex.org/W2091850846","https://openalex.org/W2093824915","https://openalex.org/W2096605619","https://openalex.org/W2099611576","https://openalex.org/W2106002835","https://openalex.org/W2111737705","https://openalex.org/W2113242816","https://openalex.org/W2116413081","https://openalex.org/W2116988482","https://openalex.org/W2140785063","https://openalex.org/W2141125852","https://openalex.org/W2152710595","https://openalex.org/W2153635508","https://openalex.org/W2153667946","https://openalex.org/W2153997154","https://openalex.org/W2156909104","https://openalex.org/W2158994553","https://openalex.org/W2165299997","https://openalex.org/W2166163522","https://openalex.org/W2382800939","https://openalex.org/W2388077428","https://openalex.org/W2546530570","https://openalex.org/W2912934387","https://openalex.org/W3036176476","https://openalex.org/W326632916","https://openalex.org/W4212883601","https://openalex.org/W4230674625","https://openalex.org/W4242664522","https://openalex.org/W59771946","https://openalex.org/W95965611","https://openalex.org/W975876592"],"related_works":["https://openalex.org/W3013737252","https://openalex.org/W2996793158","https://openalex.org/W2804233265","https://openalex.org/W2753269794","https://openalex.org/W2602154734","https://openalex.org/W2133615238","https://openalex.org/W2082858021","https://openalex.org/W2053633654","https://openalex.org/W2014577099","https://openalex.org/W1995535991"],"abstract_inverted_index":{"The":[0,191],"shape":[1],"of":[2,22,50,97,103,120,126,141,160,193,214],"a":[3,67,206],"machined":[4],"surface":[5,24,75,216],"significantly":[6],"impacts":[7],"its":[8,95,138,165],"functional":[9],"performance":[10,56,167],"and":[11,36,46,100,123,128],"exhibits":[12,54],"different":[13],"spatial":[14],"variation":[15],"patterns":[16,25],"that":[17,197],"reflect":[18],"process":[19,33,62],"conditions.":[20],"Classification":[21],"these":[23],"into":[26],"interpretable":[27],"classes":[28],"can":[29,41,204],"greatly":[30],"facilitate":[31],"manufacturing":[32],"fault":[34],"detection":[35],"diagnosis.":[37,63],"High-definition":[38],"metrology":[39],"(HDM)":[40],"generate":[42],"high":[43,208],"density":[44],"data":[45],"detect":[47],"small":[48],"differences":[49],"workpiece":[51,74,215],"surfaces,":[52],"which":[53],"better":[55],"than":[57],"traditional":[58],"measurement":[59],"methods":[60],"in":[61,157,168,211],"In":[64],"this":[65],"paper,":[66],"novel":[68],"adaptive":[69,107,188,200],"support":[70],"vector":[71],"machine":[72],"(SVM)-based":[73],"classification":[76,93,202,209],"system":[77,203],"is":[78,87,113,129,150],"developed":[79,114],"based":[80],"on":[81],"HDM.":[82],"A":[83,144],"nonsubsampled":[84],"contourlet":[85],"transform":[86],"used":[88],"to":[89,115,131,152,180],"extract":[90],"features":[91],"before":[92],"with":[94,176],"characteristics":[96],"multiscale,":[98],"multidirection,":[99],"less":[101],"dimension":[102],"feature":[104],"vectors.":[105],"An":[106],"particle":[108],"swam":[109],"optimization":[110],"(APSO)":[111],"algorithm":[112,149,163],"search":[116,148],"the":[117,134,154,161,182,198,212],"optimal":[118,183],"parameters":[119,184],"penalty":[121],"coefficient":[122],"kernel":[124],"function":[125],"SVM":[127,189],"helpful":[130],"escape":[132],"from":[133],"local":[135,169],"minimum":[136],"by":[137,164],"strong":[139],"ability":[140],"global":[142,155],"search.":[143,170],"varied":[145],"step-length":[146],"pattern":[147],"explored":[151],"optimize":[153],"point":[156],"every":[158],"iteration":[159],"APSO":[162],"good":[166],"These":[171],"two":[172],"algorithms":[173],"are":[174],"combined":[175],"their":[177],"relative":[178],"merits":[179],"find":[181],"for":[185],"building":[186],"an":[187],"classifier.":[190],"results":[192],"case":[194],"studies":[195],"show":[196],"proposed":[199],"SVM-based":[201],"achieve":[205],"relatively":[207],"accuracy":[210],"field":[213],"classification.":[217]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W1577151368","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2}],"updated_date":"2024-12-14T10:38:59.648247","created_date":"2016-06-24"}