{"id":"https://openalex.org/W4311413113","doi":"https://doi.org/10.1109/sensors52175.2022.9967142","title":"IoT-based Meat Quality Monitoring System using Computer Vision and Air Quality Sensor","display_name":"IoT-based Meat Quality Monitoring System using Computer Vision and Air Quality Sensor","publication_year":2022,"publication_date":"2022-10-30","ids":{"openalex":"https://openalex.org/W4311413113","doi":"https://doi.org/10.1109/sensors52175.2022.9967142"},"language":"en","primary_location":{"id":"doi:10.1109/sensors52175.2022.9967142","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sensors52175.2022.9967142","pdf_url":null,"source":{"id":"https://openalex.org/S4363604906","display_name":"2022 IEEE Sensors","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Sensors","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/A5018336080","display_name":"Dong-Eon Kim","orcid":"https://orcid.org/0000-0002-1674-1263"},"institutions":[{"id":"https://openalex.org/I8991828","display_name":"Pukyong National University","ror":"https://ror.org/0433kqc49","country_code":"KR","type":"education","lineage":["https://openalex.org/I8991828"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Dong-Eon Kim","raw_affiliation_strings":["Pukyong National University,AI Research Laboratory,Pusan,South Korea","AI Research Laboratory, Pukyong National University, Pusan, South Korea"],"affiliations":[{"raw_affiliation_string":"Pukyong National University,AI Research Laboratory,Pusan,South Korea","institution_ids":["https://openalex.org/I8991828"]},{"raw_affiliation_string":"AI Research Laboratory, Pukyong National University, Pusan, South Korea","institution_ids":["https://openalex.org/I8991828"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003335735","display_name":"Ngoc-Dau Mai","orcid":"https://orcid.org/0009-0005-7027-1505"},"institutions":[{"id":"https://openalex.org/I8991828","display_name":"Pukyong National University","ror":"https://ror.org/0433kqc49","country_code":"KR","type":"education","lineage":["https://openalex.org/I8991828"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ngoc-Dau Mai","raw_affiliation_strings":["Pukyong National University,Department of AI Convergence,Pusan,South Korea","Department of AI Convergence, Pukyong National University, Pusan, South Korea"],"affiliations":[{"raw_affiliation_string":"Pukyong National University,Department of AI Convergence,Pusan,South Korea","institution_ids":["https://openalex.org/I8991828"]},{"raw_affiliation_string":"Department of AI Convergence, Pukyong National University, Pusan, South Korea","institution_ids":["https://openalex.org/I8991828"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079773768","display_name":"Wan\u2010Young Chung","orcid":"https://orcid.org/0000-0002-0121-855X"},"institutions":[{"id":"https://openalex.org/I8991828","display_name":"Pukyong National University","ror":"https://ror.org/0433kqc49","country_code":"KR","type":"education","lineage":["https://openalex.org/I8991828"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wan-Young Chung","raw_affiliation_strings":["Pukyong National University,Department of AI Convergence,Pusan,South Korea","Department of AI Convergence, Pukyong National University, Pusan, South Korea"],"affiliations":[{"raw_affiliation_string":"Pukyong National University,Department of AI Convergence,Pusan,South Korea","institution_ids":["https://openalex.org/I8991828"]},{"raw_affiliation_string":"Department of AI Convergence, Pukyong National University, Pusan, South Korea","institution_ids":["https://openalex.org/I8991828"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018336080"],"corresponding_institution_ids":["https://openalex.org/I8991828"],"apc_list":null,"apc_paid":null,"fwci":0.3206,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4969825,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T12486","display_name":"Food Supply Chain Traceability","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.968500018119812,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7393115758895874},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5557389855384827},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5166409611701965},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4725087583065033},{"id":"https://openalex.org/keywords/extractor","display_name":"Extractor","score":0.437055379152298},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4351125955581665},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4209803342819214},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.41812601685523987},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4123901128768921},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.3898325562477112},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14081117510795593}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7393115758895874},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5557389855384827},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5166409611701965},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4725087583065033},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.437055379152298},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4351125955581665},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4209803342819214},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.41812601685523987},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4123901128768921},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3898325562477112},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14081117510795593},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"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/C21880701","wikidata":"https://www.wikidata.org/wiki/Q2144042","display_name":"Process engineering","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},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sensors52175.2022.9967142","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sensors52175.2022.9967142","pdf_url":null,"source":{"id":"https://openalex.org/S4363604906","display_name":"2022 IEEE Sensors","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Sensors","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2889629333","https://openalex.org/W2889704354","https://openalex.org/W2901225704","https://openalex.org/W2950770705","https://openalex.org/W3023316463","https://openalex.org/W4223511337","https://openalex.org/W4226214145","https://openalex.org/W4226323231"],"related_works":["https://openalex.org/W4311097251","https://openalex.org/W4245926026","https://openalex.org/W2586548817","https://openalex.org/W1979583797","https://openalex.org/W3082848404","https://openalex.org/W2016864125","https://openalex.org/W2625093826","https://openalex.org/W4200598720","https://openalex.org/W2921026492","https://openalex.org/W3141979996"],"abstract_inverted_index":{"Meat-safety":[0],"is":[1],"a":[2,25,34,102],"topic":[3],"of":[4,10,20,37,72,143,156],"ongoing":[5],"interest,":[6],"and":[7,39,45,49,66,69,84,94,130,140],"the":[8,18,54,67,73,79,90,98,111,138,147,154],"importance":[9],"meat-quality":[11,30,117,135],"monitoring":[12,31,122,142,161],"technology":[13],"has":[14],"recently":[15],"increased":[16],"with":[17,33,163],"flow":[19],"automation.":[21],"This":[22],"paper":[23],"proposes":[24],"real-time":[26],"Internet-of-":[27],"Things":[28],"(loT)-based":[29],"system":[32,162],"hybridized":[35],"architecture":[36],"camera":[38,80],"air-quality":[40,50],"sensors.":[41],"The":[42,58,150],"device":[43],"collects":[44],"processes":[46],"online":[47],"image":[48],"sensor":[51,59],"data":[52,60],"from":[53],"Raspberry":[55],"Pi":[56],"server.":[57],"are":[61,76,82,87],"collected":[62],"at":[63],"10-minute":[64],"intervals":[65],"means":[68],"standard":[70],"deviations":[71],"valuable":[74],"features":[75,86,113],"extracted.":[77],"Meanwhile,":[78],"images":[81],"preprocessed,":[83],"their":[85],"obtained":[88],"using":[89],"transfer":[91],"learning":[92],"approach":[93],"MobileN":[95],"et":[96],"as":[97],"feature":[99],"extractor.":[100],"Next,":[101],"proposed":[103],"one-dimensional":[104],"convolutional":[105],"neural":[106],"network":[107],"was":[108],"trained":[109],"on":[110,146],"combined":[112],"for":[114,133],"predicting":[115],"different":[116],"states.":[118],"Our":[119],"loT":[120,148,164],"-connected":[121],"platform,":[123],"including":[124],"an":[125],"embedded":[126],"device,":[127],"database":[128],"server,":[129],"smartphone":[131],"application":[132],"smart":[134],"monitoring,":[136],"allows":[137],"quick":[139],"easy":[141],"meat":[144,160],"quality":[145],"platform.":[149],"experimental":[151],"results":[152],"confirmed":[153],"viability":[155],"our":[157],"deep":[158],"learning-based":[159],"applications":[165],"in":[166],"real-world":[167],"applications.":[168]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}