{"id":"https://openalex.org/W4391129604","doi":"https://doi.org/10.1109/ictc58733.2023.10393341","title":"A Novel Deep Learning-Assisted Truck Driver Drowsiness Record using Blockchain Technology","display_name":"A Novel Deep Learning-Assisted Truck Driver Drowsiness Record using Blockchain Technology","publication_year":2023,"publication_date":"2023-10-11","ids":{"openalex":"https://openalex.org/W4391129604","doi":"https://doi.org/10.1109/ictc58733.2023.10393341"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc58733.2023.10393341","pdf_url":null,"source":{"id":"https://openalex.org/S4363607740","display_name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5021082196","display_name":"Odinachi Udemezuo Nwankwo","orcid":null},"institutions":[{"id":"https://openalex.org/I113409471","display_name":"Kumoh National Institute of Technology","ror":"https://ror.org/05dkjfz60","country_code":"KR","type":"education","lineage":["https://openalex.org/I113409471"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Odinachi Udemezuo Nwankwo","raw_affiliation_strings":["IT Convergence Engineering, ICT Convergence Research Center, Kumoh National Institute of Technology, Gumi, Korea"],"affiliations":[{"raw_affiliation_string":"IT Convergence Engineering, ICT Convergence Research Center, Kumoh National Institute of Technology, Gumi, Korea","institution_ids":["https://openalex.org/I113409471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102829948","display_name":"Dong\u2010Seong Kim","orcid":"https://orcid.org/0000-0002-2977-5964"},"institutions":[{"id":"https://openalex.org/I113409471","display_name":"Kumoh National Institute of Technology","ror":"https://ror.org/05dkjfz60","country_code":"KR","type":"education","lineage":["https://openalex.org/I113409471"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong Seong Kim","raw_affiliation_strings":["IT Convergence Engineering, ICT Convergence Research Center, Kumoh National Institute of Technology, Gumi, Korea"],"affiliations":[{"raw_affiliation_string":"IT Convergence Engineering, ICT Convergence Research Center, Kumoh National Institute of Technology, Gumi, Korea","institution_ids":["https://openalex.org/I113409471"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100702253","display_name":"Jae\u2010Min Lee","orcid":"https://orcid.org/0000-0001-6885-5185"},"institutions":[{"id":"https://openalex.org/I113409471","display_name":"Kumoh National Institute of Technology","ror":"https://ror.org/05dkjfz60","country_code":"KR","type":"education","lineage":["https://openalex.org/I113409471"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae-Min Lee","raw_affiliation_strings":["IT Convergence Engineering, ICT Convergence Research Center, Kumoh National Institute of Technology, Gumi, Korea"],"affiliations":[{"raw_affiliation_string":"IT Convergence Engineering, ICT Convergence Research Center, Kumoh National Institute of Technology, Gumi, Korea","institution_ids":["https://openalex.org/I113409471"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"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":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":68},"biblio":{"volume":null,"issue":null,"first_page":"1082","last_page":"1086"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9996,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9996,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.938,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9151,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C2779687700","wikidata":"https://www.wikidata.org/wiki/Q20514253","display_name":"Blockchain","level":2,"score":0.94267106},{"id":"https://openalex.org/C52121051","wikidata":"https://www.wikidata.org/wiki/Q43193","display_name":"Truck","level":2,"score":0.8384433},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.61150366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.59886855},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30134702},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.29980943},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.24649262},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21930847}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictc58733.2023.10393341","pdf_url":null,"source":{"id":"https://openalex.org/S4363607740","display_name":"2022 13th International Conference on Information and Communication Technology Convergence (ICTC)","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":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.66,"display_name":"Climate action"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":10,"referenced_works":["https://openalex.org/W2774445955","https://openalex.org/W3111481182","https://openalex.org/W3169932883","https://openalex.org/W3213334939","https://openalex.org/W4205710447","https://openalex.org/W4226417566","https://openalex.org/W4281609509","https://openalex.org/W4283805748","https://openalex.org/W4294656562","https://openalex.org/W4362605391"],"related_works":["https://openalex.org/W4360585206","https://openalex.org/W4323565446","https://openalex.org/W4321369474","https://openalex.org/W4285208911","https://openalex.org/W4213079790","https://openalex.org/W3215138031","https://openalex.org/W3082895349","https://openalex.org/W3009238340","https://openalex.org/W2731899572","https://openalex.org/W2248239756"],"abstract_inverted_index":{"This":[0,84],"study":[1],"introduces":[2],"an":[3],"innovative":[4],"approach":[5],"involving":[6],"Deep":[7],"Learning-Assisted":[8],"Truck":[9],"Driver":[10],"Drowsiness":[11],"Record":[12],"using":[13],"Blockchain":[14],"Technology.":[15],"It":[16],"surpasses":[17],"previous":[18],"research":[19,45,116],"by":[20],"not":[21],"only":[22],"classifying":[23],"driver":[24,63,102,133],"drowsiness":[25,92,113,134,146],"through":[26],"deep":[27,52,119],"learning":[28,53,120],"techniques":[29],"but":[30],"also":[31],"implementing":[32],"blockchain":[33,55,143],"technology":[34],"for":[35,141],"secure":[36],"data":[37],"management.":[38],"Focusing":[39],"on":[40,112,129],"trucks":[41],"in":[42],"logistics,":[43],"the":[44,79,142],"presents":[46],"a":[47,130],"hybrid":[48],"system":[49,85],"that":[50],"combines":[51],"and":[54,58,75,104],"to":[56,69,89,100,108],"classify":[57],"securely":[59],"record":[60],"instances":[61],"of":[62,81,145],"drowsiness,":[64],"thereby":[65],"providing":[66],"timely":[67],"warnings":[68],"prevent":[70],"accidents.":[71],"The":[72,115],"blockchain's":[73],"immutable":[74],"tamper-resistant":[76],"nature":[77],"ensures":[78],"credibility":[80],"recorded":[82],"data.":[83],"enables":[86],"truck":[87],"drivers":[88],"access":[90],"their":[91],"records":[93],"via":[94],"mobile":[95],"devices,":[96],"allows":[97],"logistic":[98],"companies":[99,107],"evaluate":[101],"performance,":[103],"permits":[105],"insurance":[106],"adjust":[109],"premiums":[110],"based":[111],"occurrences.":[114],"evaluates":[117],"three":[118],"algorithms":[121],"(VGG-16,":[122],"MobileNet,":[123],"CNN)":[124],"achieving":[125],"50%":[126],"accuracy":[127],"each":[128],"grayscale":[131],"image":[132],"dataset.":[135],"Additionally,":[136],"smart":[137],"contracts":[138],"are":[139],"employed":[140],"storage":[144],"records.":[147]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4391129604","counts_by_year":[],"updated_date":"2024-12-13T15:23:46.702005","created_date":"2024-01-24"}