{"id":"https://openalex.org/W4394864321","doi":"https://doi.org/10.1145/3650215.3650316","title":"Analyze and identify the composition of glass products based on statistical analysis methods","display_name":"Analyze and identify the composition of glass products based on statistical analysis methods","publication_year":2023,"publication_date":"2023-10-27","ids":{"openalex":"https://openalex.org/W4394864321","doi":"https://doi.org/10.1145/3650215.3650316"},"language":"en","primary_location":{"id":"doi:10.1145/3650215.3650316","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3650215.3650316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Machine Learning and Computer Application","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/A5068380269","display_name":"Huilin Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huilin Zhu","raw_affiliation_strings":["Mathematics and Statistics, Guangxi Normal University, China"],"raw_orcid":"https://orcid.org/0009-0009-6014-8203","affiliations":[{"raw_affiliation_string":"Mathematics and Statistics, Guangxi Normal University, China","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049057423","display_name":"Jiaqing Wu","orcid":"https://orcid.org/0009-0006-1612-6830"},"institutions":[{"id":"https://openalex.org/I29739308","display_name":"Guangxi Normal University","ror":"https://ror.org/02frt9q65","country_code":"CN","type":"education","lineage":["https://openalex.org/I29739308"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaqing Wu","raw_affiliation_strings":["Computer Science and Engineering/School of Software, Guangxi Normal University, China"],"raw_orcid":"https://orcid.org/0009-0006-1612-6830","affiliations":[{"raw_affiliation_string":"Computer Science and Engineering/School of Software, Guangxi Normal University, China","institution_ids":["https://openalex.org/I29739308"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073325001","display_name":"S.X. Zhou","orcid":"https://orcid.org/0009-0002-0660-2013"},"institutions":[{"id":"https://openalex.org/I4210136859","display_name":"Xi\u2019an University of Posts and Telecommunications","ror":"https://ror.org/04jn0td46","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210136859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiji Zhou","raw_affiliation_strings":["Communication and Information Engineering, Xi'an University of Posts and Telecommunications, China"],"raw_orcid":"https://orcid.org/0009-0002-0660-2013","affiliations":[{"raw_affiliation_string":"Communication and Information Engineering, Xi'an University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I4210136859"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2237786,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"573","last_page":"576"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12304","display_name":"Radiative Heat Transfer Studies","score":0.4546000063419342,"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"}},"topics":[{"id":"https://openalex.org/T12304","display_name":"Radiative Heat Transfer Studies","score":0.4546000063419342,"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"}},{"id":"https://openalex.org/T13217","display_name":"Pigment Synthesis and Properties","score":0.39959999918937683,"subfield":{"id":"https://openalex.org/subfields/1604","display_name":"Inorganic Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"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":0.37130001187324524,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/chemical-composition","display_name":"Chemical composition","score":0.7580236196517944},{"id":"https://openalex.org/keywords/composition","display_name":"Composition (language)","score":0.5948098301887512},{"id":"https://openalex.org/keywords/statistical-analysis","display_name":"Statistical analysis","score":0.5719186067581177},{"id":"https://openalex.org/keywords/barium","display_name":"Barium","score":0.5267433524131775},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.40771403908729553},{"id":"https://openalex.org/keywords/biological-system","display_name":"Biological system","score":0.3851664066314697},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3669806718826294},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31400251388549805},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19844239950180054},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.13466483354568481},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13086411356925964},{"id":"https://openalex.org/keywords/metallurgy","display_name":"Metallurgy","score":0.11631801724433899}],"concepts":[{"id":"https://openalex.org/C149849071","wikidata":"https://www.wikidata.org/wiki/Q1263816","display_name":"Chemical composition","level":2,"score":0.7580236196517944},{"id":"https://openalex.org/C40231798","wikidata":"https://www.wikidata.org/wiki/Q1333743","display_name":"Composition (language)","level":2,"score":0.5948098301887512},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.5719186067581177},{"id":"https://openalex.org/C542576722","wikidata":"https://www.wikidata.org/wiki/Q1112","display_name":"Barium","level":2,"score":0.5267433524131775},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.40771403908729553},{"id":"https://openalex.org/C186060115","wikidata":"https://www.wikidata.org/wiki/Q30336093","display_name":"Biological system","level":1,"score":0.3851664066314697},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3669806718826294},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31400251388549805},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19844239950180054},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.13466483354568481},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13086411356925964},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.11631801724433899},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3650215.3650316","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3650215.3650316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Machine Learning and Computer Application","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":1,"referenced_works":["https://openalex.org/W4386141113"],"related_works":["https://openalex.org/W1994485413","https://openalex.org/W2375259780","https://openalex.org/W787875025","https://openalex.org/W4240336707","https://openalex.org/W2041012874","https://openalex.org/W1990525275","https://openalex.org/W138708407","https://openalex.org/W3143946686","https://openalex.org/W2831666355","https://openalex.org/W2010236544"],"abstract_inverted_index":{"Through":[0],"the":[1,5,12,17,25,30,37,43,50,59,68,86,95,98,116,121,126,132],"statistical":[2],"analysis":[3,89,133],"of":[4,20,33,39,42,62,72,100,136],"existing":[6],"data,":[7],"this":[8],"paper":[9],"mainly":[10],"uses":[11],"chi-square":[13],"test":[14],"to":[15],"analyze":[16],"chemical":[18,40,52,63,109],"composition":[19,41,53],"glass":[21,46,75,79,103,137],"cultural":[22],"relics":[23],"products,":[24],"relationship":[26],"between":[27],"weathering":[28],"and":[29,35,48,65,76,84,125,134],"inherent":[31],"properties":[32],"glass,":[34],"obtains":[36],"law":[38],"two":[44],"major":[45],"categories,":[47],"selects":[49],"appropriate":[51],"classification":[54],"based":[55,93],"on":[56,94],"this,":[57],"constructs":[58],"characteristic":[60],"quantity":[61],"composition,":[64],"passes":[66],"K-means++":[67],"subclass":[69],"division":[70],"methods":[71],"high":[73],"potassium":[74],"lead":[77],"barium":[78],"were":[80],"studied":[81],"in":[82],"clustering,":[83],"finally":[85],"model":[87,117],"sensitivity":[88],"was":[90],"performed.":[91],"Therefore,":[92],"above":[96],"method,":[97],"type":[99],"unknown":[101],"category":[102],"products":[104],"can":[105],"be":[106],"identified":[107],"by":[108],"composition.":[110],"The":[111],"final":[112],"results":[113],"show":[114],"that":[115],"effect":[118],"is":[119,123,129],"stable,":[120],"feasibility":[122],"high,":[124],"designed":[127],"method":[128],"accurate":[130],"for":[131],"identification":[135],"products.":[138]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}