{"id":"https://openalex.org/W3092098511","doi":"https://doi.org/10.1109/case48305.2020.9216987","title":"Control Chart Pattern Recognition of Sheet Metal Cutting Data in Shipbuilding Based on XGBoost","display_name":"Control Chart Pattern Recognition of Sheet Metal Cutting Data in Shipbuilding Based on XGBoost","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3092098511","doi":"https://doi.org/10.1109/case48305.2020.9216987","mag":"3092098511"},"language":"en","primary_location":{"id":"doi:10.1109/case48305.2020.9216987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case48305.2020.9216987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)","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/A5100711694","display_name":"Liang Chen","orcid":"https://orcid.org/0000-0002-6718-9261"},"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":"Liang Chen","raw_affiliation_strings":["Institute of Intelligent Manufacturing and Information Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Manufacturing and Information Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089057189","display_name":"Haisheng Xu","orcid":"https://orcid.org/0000-0002-5853-3374"},"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":"Haisheng Xu","raw_affiliation_strings":["Institute of Intelligent Manufacturing and Information Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Manufacturing and Information Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040123740","display_name":"Kaipeng Lan","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":"Kaipeng Lan","raw_affiliation_strings":["Institute of Intelligent Manufacturing and Information Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Manufacturing and Information Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033085089","display_name":"Yu Zheng","orcid":"https://orcid.org/0000-0002-1803-8678"},"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":"Yu Zheng","raw_affiliation_strings":["Institute of Intelligent Manufacturing and Information Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Manufacturing and Information Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"500","last_page":"507"},"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":0.9955000281333923,"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":0.9955000281333923,"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":0.974399983882904,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9585999846458435,"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/sheet-metal","display_name":"Sheet metal","score":0.7273621559143066},{"id":"https://openalex.org/keywords/shipbuilding","display_name":"Shipbuilding","score":0.6721539497375488},{"id":"https://openalex.org/keywords/control-chart","display_name":"Control chart","score":0.6249500513076782},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6009448766708374},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5982677340507507},{"id":"https://openalex.org/keywords/chart","display_name":"Chart","score":0.5952869057655334},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5621112585067749},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5391523838043213},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5276290774345398},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47468945384025574},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.44129160046577454},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3279392123222351},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.10447290539741516},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10123240947723389},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0644243061542511}],"concepts":[{"id":"https://openalex.org/C2779747408","wikidata":"https://www.wikidata.org/wiki/Q211367","display_name":"Sheet metal","level":2,"score":0.7273621559143066},{"id":"https://openalex.org/C65542768","wikidata":"https://www.wikidata.org/wiki/Q474200","display_name":"Shipbuilding","level":2,"score":0.6721539497375488},{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.6249500513076782},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6009448766708374},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5982677340507507},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.5952869057655334},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5621112585067749},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5391523838043213},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5276290774345398},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47468945384025574},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.44129160046577454},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3279392123222351},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.10447290539741516},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10123240947723389},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0644243061542511},{"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/case48305.2020.9216987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case48305.2020.9216987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 16th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life below water","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W207004615","https://openalex.org/W1898972423","https://openalex.org/W1965323337","https://openalex.org/W1967363471","https://openalex.org/W1978412449","https://openalex.org/W1988725147","https://openalex.org/W1990346838","https://openalex.org/W2004313405","https://openalex.org/W2011252130","https://openalex.org/W2015974984","https://openalex.org/W2047056993","https://openalex.org/W2074996252","https://openalex.org/W2086917983","https://openalex.org/W2094544771","https://openalex.org/W2157202423","https://openalex.org/W2287646566","https://openalex.org/W2288950719","https://openalex.org/W2295598076","https://openalex.org/W2330787872","https://openalex.org/W2583886059","https://openalex.org/W2797284138","https://openalex.org/W2799359634","https://openalex.org/W2943197862","https://openalex.org/W2946148848","https://openalex.org/W2966361671","https://openalex.org/W2996836456","https://openalex.org/W3102476541"],"related_works":["https://openalex.org/W2108902080","https://openalex.org/W631791964","https://openalex.org/W2808571792","https://openalex.org/W2375474688","https://openalex.org/W3140366830","https://openalex.org/W2348364560","https://openalex.org/W2743118559","https://openalex.org/W2039748132","https://openalex.org/W2911502181","https://openalex.org/W4380272213"],"abstract_inverted_index":{"The":[0,151],"accuracy":[1,10],"of":[2,12,26,39,46,61,78,93,99,106,130,143,166],"sheet":[3,16,27,47,79,82,167],"metal":[4,17,28,48,80,83],"is":[5,18,72,125],"very":[6,54],"important":[7,55],"for":[8,161],"the":[9,15,23,32,37,44,59,76,97,100,104,107,128,131,139],"control":[11,94,109,162],"shipbuilding.":[13],"When":[14],"cut":[19],"in":[20,81],"shipbuilding":[21],"process,":[22],"actual":[24],"dimension":[25,34],"will":[29],"deviate":[30],"from":[31],"design":[33],"due":[35],"to":[36,57,74],"influence":[38],"various":[40],"factors.":[41],"Therefore,":[42],"recognizing":[43],"pattern":[45,77,101,105,140,164],"cutting":[49,84,168],"data":[50],"accurately":[51],"plays":[52],"a":[53,62,67,157],"role":[56],"improve":[58],"quality":[60],"ship.":[63],"In":[64],"this":[65],"paper,":[66],"method":[68,134],"based":[69],"on":[70],"XGboost":[71,155],"proposed":[73,132],"recognize":[75],"process.":[85],"By":[86],"using":[87],"statistical":[88,118],"features":[89,92,121,124],"and":[90,122,127,149],"shape":[91,120],"chart":[95,110,163],"as":[96],"input":[98],"recognition":[102,141,159,165],"model,":[103],"variation":[108],"can":[111],"be":[112],"recognized.":[113],"A":[114],"comparative":[115],"study":[116],"between":[117],"features,":[119],"combined":[123],"implemented,":[126],"practicability":[129],"intelligent":[133],"was":[135],"demonstrated":[136],"by":[137],"comparing":[138],"effect":[142,160],"Support":[144],"Vector":[145],"Machine(SVM),":[146],"Random":[147],"Forest(RF)":[148],"XGboost.":[150],"result":[152],"shows":[153],"that":[154],"has":[156],"good":[158],"data.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
