{"id":"https://openalex.org/W4295308375","doi":"https://doi.org/10.1109/access.2022.3206369","title":"High-Speed Monitoring of Multidimensional Processes Using Bayesian Updates","display_name":"High-Speed Monitoring of Multidimensional Processes Using Bayesian Updates","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4295308375","doi":"https://doi.org/10.1109/access.2022.3206369"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3206369","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3206369","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09888137.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09888137.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049321489","display_name":"Sangahn Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I920285187","display_name":"Siena College","ror":"https://ror.org/01v62m802","country_code":"US","type":"education","lineage":["https://openalex.org/I920285187"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sangahn Kim","raw_affiliation_strings":["Department of Business Analytics and Actuarial Science, Siena College, Loudonville, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Business Analytics and Actuarial Science, Siena College, Loudonville, NY, USA","institution_ids":["https://openalex.org/I920285187"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066008177","display_name":"Mehmet Turkoz","orcid":"https://orcid.org/0000-0001-9169-2548"},"institutions":[{"id":"https://openalex.org/I127328727","display_name":"William Paterson University","ror":"https://ror.org/00k3ayt93","country_code":"US","type":"education","lineage":["https://openalex.org/I127328727"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mehmet Turkoz","raw_affiliation_strings":["Department of Management, Marketing and Professional Sales, William Paterson University, Wayne, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Management, Marketing and Professional Sales, William Paterson University, Wayne, NJ, USA","institution_ids":["https://openalex.org/I127328727"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040968647","display_name":"Jung Woo Baek","orcid":"https://orcid.org/0000-0002-4695-8738"},"institutions":[{"id":"https://openalex.org/I152238500","display_name":"Chosun University","ror":"https://ror.org/01zt9a375","country_code":"KR","type":"education","lineage":["https://openalex.org/I152238500"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jung Woo Baek","raw_affiliation_strings":["Department of Industrial Engineering, Chosun University, Gwangju, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-4695-8738","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Chosun University, Gwangju, South Korea","institution_ids":["https://openalex.org/I152238500"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049321489"],"corresponding_institution_ids":["https://openalex.org/I920285187"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.1853,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61520569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"10","issue":null,"first_page":"97450","last_page":"97464"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9977999925613403,"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/T11890","display_name":"Scientific Measurement and Uncertainty Evaluation","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.786213219165802},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.5926074385643005},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5615966320037842},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5574324131011963},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5103006362915039},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4757252037525177},{"id":"https://openalex.org/keywords/statistical-process-control","display_name":"Statistical process control","score":0.45394447445869446},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2854091227054596},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24537575244903564},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.08256039023399353}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.786213219165802},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.5926074385643005},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5615966320037842},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5574324131011963},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5103006362915039},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4757252037525177},{"id":"https://openalex.org/C113644684","wikidata":"https://www.wikidata.org/wiki/Q1356717","display_name":"Statistical process control","level":3,"score":0.45394447445869446},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2854091227054596},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24537575244903564},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.08256039023399353},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3206369","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3206369","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09888137.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e0c97ecc8f2c444ea1f12401d9aeb564","is_oa":true,"landing_page_url":"https://doaj.org/article/e0c97ecc8f2c444ea1f12401d9aeb564","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 10, Pp 97450-97464 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3206369","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3206369","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09888137.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.5199999809265137}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321199","display_name":"Chosun University","ror":"https://ror.org/01zt9a375"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4295308375.pdf","grobid_xml":"https://content.openalex.org/works/W4295308375.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W43850112","https://openalex.org/W155240222","https://openalex.org/W1480376833","https://openalex.org/W1535160418","https://openalex.org/W1970610283","https://openalex.org/W1971987443","https://openalex.org/W1975061413","https://openalex.org/W1978403823","https://openalex.org/W1994449045","https://openalex.org/W2000884317","https://openalex.org/W2004096570","https://openalex.org/W2004186751","https://openalex.org/W2029747079","https://openalex.org/W2038100178","https://openalex.org/W2045067839","https://openalex.org/W2054778924","https://openalex.org/W2056222827","https://openalex.org/W2056980115","https://openalex.org/W2072407822","https://openalex.org/W2080795935","https://openalex.org/W2083483006","https://openalex.org/W2115905238","https://openalex.org/W2127861000","https://openalex.org/W2132655725","https://openalex.org/W2143314657","https://openalex.org/W2147067398","https://openalex.org/W2154983631","https://openalex.org/W2155867868","https://openalex.org/W2158142902","https://openalex.org/W2258523306","https://openalex.org/W2287517642","https://openalex.org/W2293330012","https://openalex.org/W2329552745","https://openalex.org/W2468998182","https://openalex.org/W2474693757","https://openalex.org/W2483479367","https://openalex.org/W2539607365","https://openalex.org/W2790097276","https://openalex.org/W2916690370","https://openalex.org/W2939071384","https://openalex.org/W2976369121","https://openalex.org/W3007848899","https://openalex.org/W3110997528","https://openalex.org/W3136937055","https://openalex.org/W3186393377","https://openalex.org/W3216630340","https://openalex.org/W3217788320","https://openalex.org/W4231057675","https://openalex.org/W4299951792","https://openalex.org/W6607543680"],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W2561617217","https://openalex.org/W3097449145","https://openalex.org/W4294811468","https://openalex.org/W2355801475","https://openalex.org/W106004901","https://openalex.org/W2170062176","https://openalex.org/W4206911031","https://openalex.org/W2316648939","https://openalex.org/W4313283835"],"abstract_inverted_index":{"The":[0,16,48,112],"advent":[1],"of":[2,13,51,66,84,110,115,142,150,158,165,181],"modern":[3],"data":[4],"acquisition":[5],"and":[6,103,179],"computing":[7],"techniques":[8],"has":[9],"enabled":[10],"high-speed":[11,148],"monitoring":[12,42,104,149,178],"high-dimensional":[14,133,151],"processes.":[15,152],"short":[17],"sampling":[18,90],"interval":[19],"makes":[20],"the":[21,60,64,70,75,80,85,94,108,116,126,140,143,147,159,166,177,182,192],"samples":[22],"temporally":[23],"correlated,":[24],"even":[25],"if":[26],"there":[27],"is":[28,54],"no":[29],"underlying":[30],"autocorrelation":[31],"among":[32],"covariates.":[33],"In":[34,97],"this":[35,52,120],"study,":[36],"we":[37,78,185],"introduce":[38],"a":[39,45,154,163,187],"new":[40],"process":[41,86,101,134],"scheme":[43,145],"in":[44,119,146,162],"Bayesian":[46,123],"framework.":[47],"key":[49],"strategy":[50],"study":[53,121],"to":[55,68,129,171,190],"incorporate":[56],"sequential":[57],"observations":[58],"into":[59,176],"estimation":[61,83],"procedure":[62,164],"for":[63,132],"parameters":[65,87],"interest":[67],"update":[69],"prior":[71],"distribution.":[72],"Based":[73],"on":[74],"updated":[76],"prior,":[77],"obtain":[79],"most":[81],"appropriate":[82],"at":[88],"each":[89],"epoch":[91],"by":[92],"maximizing":[93],"posterior":[95],"probability.":[96],"addition,":[98],"conventional":[99],"statistical":[100],"control":[102,180],"methodologies":[105],"suffer":[106],"from":[107],"\u201ccurse":[109],"dimensionality.\u201d":[111],"closed":[113],"form":[114],"estimate":[117],"developed":[118],"through":[122],"updates":[124],"enables":[125],"proposed":[127,144,167,193],"method":[128,168],"be":[130],"effective":[131],"monitoring.":[135],"Various":[136],"simulation":[137],"studies":[138],"demonstrate":[139],"superiority":[141],"Moreover,":[153],"few":[155],"sample":[156],"paths":[157],"estimated":[160],"mean":[161],"are":[169],"illustrated":[170],"provide":[172,186],"practitioners":[173],"with":[174],"insights":[175],"process.":[183],"Finally,":[184],"real-life":[188],"application":[189],"illustrate":[191],"method.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}