{"id":"https://openalex.org/W4361829759","doi":"https://doi.org/10.1109/ispacs57703.2022.10082830","title":"Neural Network-based Approximate Quality Prediction for Parameter Exploration in Industrial Manufacturing","display_name":"Neural Network-based Approximate Quality Prediction for Parameter Exploration in Industrial Manufacturing","publication_year":2022,"publication_date":"2022-11-22","ids":{"openalex":"https://openalex.org/W4361829759","doi":"https://doi.org/10.1109/ispacs57703.2022.10082830"},"language":"en","primary_location":{"id":"doi:10.1109/ispacs57703.2022.10082830","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs57703.2022.10082830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","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/A5023061567","display_name":"Jisu Kwon","orcid":"https://orcid.org/0000-0002-0433-9533"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jisu Kwon","raw_affiliation_strings":["School of Electronic and Electrical Engineering, Kyungpook National University,Daegu,Republic of Korea,41566"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Kyungpook National University,Daegu,Republic of Korea,41566","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081703172","display_name":"Moon Gi Seok","orcid":"https://orcid.org/0000-0002-8159-9910"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Moon Gi Seok","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University,Singapore,639798"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University,Singapore,639798","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030304824","display_name":"Daejin Park","orcid":"https://orcid.org/0000-0002-5560-873X"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Daejin Park","raw_affiliation_strings":["School of Electronic and Electrical Engineering, Kyungpook National University,Daegu,Republic of Korea,41566","School of Electronics Engineering, Kyungpook National University, Daegu, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Electrical Engineering, Kyungpook National University,Daegu,Republic of Korea,41566","institution_ids":["https://openalex.org/I31419693"]},{"raw_affiliation_string":"School of Electronics Engineering, Kyungpook National University, Daegu, Republic of Korea","institution_ids":["https://openalex.org/I31419693"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023061567"],"corresponding_institution_ids":["https://openalex.org/I31419693"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.30227151,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9972000122070312,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9972000122070312,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.9908000230789185,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.7622934579849243},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.65569007396698},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.560304582118988},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5499684810638428},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5457503199577332},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.5414628386497498},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.525146484375},{"id":"https://openalex.org/keywords/process-control","display_name":"Process control","score":0.4125787019729614},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4097590446472168},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.3662492334842682},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34424859285354614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33880311250686646},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1963019073009491},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14227095246315002}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7622934579849243},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.65569007396698},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.560304582118988},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5499684810638428},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5457503199577332},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5414628386497498},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.525146484375},{"id":"https://openalex.org/C155386361","wikidata":"https://www.wikidata.org/wiki/Q1649571","display_name":"Process control","level":3,"score":0.4125787019729614},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4097590446472168},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3662492334842682},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34424859285354614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33880311250686646},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1963019073009491},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14227095246315002},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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:10.1109/ispacs57703.2022.10082830","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispacs57703.2022.10082830","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","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":0.5600000023841858}],"awards":[{"id":"https://openalex.org/G6199866557","display_name":null,"funder_award_id":"NRF-2018R1A6A1A03025109,NRF-2022R1I1A3069260","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1996109622","https://openalex.org/W2912290085","https://openalex.org/W3084270716","https://openalex.org/W3153378117","https://openalex.org/W4234452799"],"related_works":["https://openalex.org/W2076543106","https://openalex.org/W3158157485","https://openalex.org/W2243550366","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W4286643620","https://openalex.org/W2523437662","https://openalex.org/W3000407446","https://openalex.org/W4387048144","https://openalex.org/W2492135063"],"abstract_inverted_index":{"Various":[0],"control":[1],"parameters":[2,40,63,100],"are":[3],"required":[4],"for":[5,20,188],"industrial":[6],"plant":[7],"operation":[8],"and":[9,27,68,111,123,155],"product":[10,87,104,145,185],"manufacturing.":[11],"However,":[12],"the":[13,45,56,61,66,69,80,98,102,108,113,132,144,149,165,168,179,183],"trial-and-error":[14],"scheme":[15,138],"of":[16,58,101,115,143],"testing":[17],"physical":[18],"equipment":[19],"optimal":[21],"parameter":[22],"exploration":[23],"is":[24,52],"very":[25],"costly":[26],"time":[28],"consuming.":[29],"Therefore,":[30],"interest":[31],"in":[32,41,105,148,182],"an":[33],"environment,":[34],"that":[35,164],"can":[36],"predict":[37,79],"quality":[38,81,141],"output":[39,82,124,142],"advance":[42],"by":[43,173],"modeling":[44,51],"target":[46],"plant,":[47],"has":[48],"increased.":[49],"Mathematical":[50],"difficult":[53],"due":[54],"to":[55,65,78,175,178],"lack":[57],"interrelationships":[59],"between":[60],"various":[62,128,184],"applied":[64],"facility":[67],"complex":[70],"internal":[71],"behavior.":[72],"This":[73],"paper":[74],"proposes":[75],"a":[76,86,89,140],"technique":[77],"factor":[83],"before":[84],"manufacturing":[85,134],"using":[88],"multilayer":[90],"perceptron":[91],"(MLP)":[92],"neural":[93,150],"network.":[94],"Moreover,":[95],"we":[96],"handle":[97],"critical":[99],"produced":[103],"duplicate":[106],"at":[107],"input":[109,122],"layer":[110],"enable":[112],"generation":[114],"product-dependent":[116],"inference":[117],"results.":[118],"The":[119,136,160],"experiments":[120],"used":[121,187],"data":[125],"sets":[126],"from":[127,131,167],"products":[129],"extracted":[130],"wire":[133],"process.":[135],"proposed":[137],"generated":[139],"not":[146],"included":[147],"network":[151],"training":[152],"as":[153],"average":[154,170],"distribution":[156,181],"similar":[157,177],"with":[158],"label.":[159],"experimental":[161],"results":[162],"showed":[163],"difference":[166],"label":[169,180],"was":[171],"reduced":[172],"up":[174],"50.26%,":[176],"cases":[186],"training,":[189]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
