{"id":"https://openalex.org/W3127325002","doi":"https://doi.org/10.1109/access.2021.3055345","title":"Using Artificial Neural Network for Predicting and Evaluating Situation Awareness of Operator","display_name":"Using Artificial Neural Network for Predicting and Evaluating Situation Awareness of Operator","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3127325002","doi":"https://doi.org/10.1109/access.2021.3055345","mag":"3127325002"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3055345","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3055345","pdf_url":null,"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://doi.org/10.1109/access.2021.3055345","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037139286","display_name":"Shengyuan Yan","orcid":"https://orcid.org/0000-0002-0580-2892"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shengyuan Yan","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114833636","display_name":"Kai Yao","orcid":"https://orcid.org/0000-0002-3126-5664"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Yao","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0002-3126-5664","affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087864106","display_name":"Cong Chi Tran","orcid":"https://orcid.org/0000-0003-1460-4430"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Chi Tran","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin, China","ORCiD"],"raw_orcid":"https://orcid.org/0000-0003-1460-4430","affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Harbin Engineering University, Harbin, China","institution_ids":["https://openalex.org/I151727225"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037139286"],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.3937,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.87814432,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"9","issue":null,"first_page":"20143","last_page":"20155"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T11357","display_name":"Risk and Safety Analysis","score":0.9944999814033508,"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/T10809","display_name":"Occupational Health and Safety Research","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7368661165237427},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6545993685722351},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5461990237236023},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4807429313659668},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.459053635597229},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4354185163974762},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43411219120025635},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.41643622517585754},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.39187127351760864},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34621095657348633},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3273419141769409},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.13899186253547668}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7368661165237427},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6545993685722351},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5461990237236023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4807429313659668},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.459053635597229},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4354185163974762},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43411219120025635},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.41643622517585754},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.39187127351760864},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34621095657348633},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3273419141769409},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.13899186253547668},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3055345","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3055345","pdf_url":null,"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:99a3affd900946bda2f6f662834bf4dd","is_oa":true,"landing_page_url":"https://doaj.org/article/99a3affd900946bda2f6f662834bf4dd","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 9, Pp 20143-20155 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3055345","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3055345","pdf_url":null,"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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W17263963","https://openalex.org/W269665048","https://openalex.org/W650260511","https://openalex.org/W1544152542","https://openalex.org/W1582555728","https://openalex.org/W1597124172","https://openalex.org/W1660054379","https://openalex.org/W1966923158","https://openalex.org/W1968904260","https://openalex.org/W1968964454","https://openalex.org/W1969726991","https://openalex.org/W1974430563","https://openalex.org/W1985700913","https://openalex.org/W1989268727","https://openalex.org/W1989593884","https://openalex.org/W1991803919","https://openalex.org/W2009165229","https://openalex.org/W2010005609","https://openalex.org/W2014955720","https://openalex.org/W2044891983","https://openalex.org/W2051332421","https://openalex.org/W2072645635","https://openalex.org/W2083257215","https://openalex.org/W2086265406","https://openalex.org/W2098516181","https://openalex.org/W2114534220","https://openalex.org/W2138900972","https://openalex.org/W2146948159","https://openalex.org/W2155462116","https://openalex.org/W2157113258","https://openalex.org/W2158685692","https://openalex.org/W2280647766","https://openalex.org/W2326713822","https://openalex.org/W2394113518","https://openalex.org/W2565404658","https://openalex.org/W2571151646","https://openalex.org/W2617552658","https://openalex.org/W2738487222","https://openalex.org/W2788553534","https://openalex.org/W2942328419","https://openalex.org/W2946417821","https://openalex.org/W2950072808","https://openalex.org/W3006012902","https://openalex.org/W3009419987","https://openalex.org/W3027694538","https://openalex.org/W3086718919","https://openalex.org/W3089916460","https://openalex.org/W4210651582","https://openalex.org/W4292408067","https://openalex.org/W6600683545","https://openalex.org/W6637126734"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2126145365","https://openalex.org/W2036609560","https://openalex.org/W346861917","https://openalex.org/W3024018414","https://openalex.org/W1542592062","https://openalex.org/W2062283790"],"abstract_inverted_index":{"The":[0,19,89,115,148,170,205],"decrease":[1],"of":[2,8,22,109,112,123,133,157,164,197,209],"situation":[3],"awareness":[4],"(SA)":[5],"is":[6,25,214],"one":[7],"reasons":[9],"leading":[10],"to":[11,26,52,65],"human":[12],"factor":[13],"accidents":[14],"in":[15,34],"nuclear":[16],"power":[17],"plants.":[18],"main":[20,36],"purpose":[21],"this":[23,40],"paper":[24,41],"the":[27,31,44,54,67,110,120,130,136,155,158,162,175,188,194,199,210,220,227],"evaluation":[28],"and":[29,48,86,135,161,180,202],"prediction":[30,207],"operators\u2019":[32],"SA":[33,87,104],"digital":[35],"control":[37],"room.":[38],"Firstly,":[39],"used":[42,64,192],"both":[43,198],"entropy":[45],"weight":[46,111],"method":[47,51],"variation":[49],"coefficient":[50],"determine":[53],"relevant":[55],"influencing":[56,84],"factors.":[57,114],"Secondly,":[58],"principal":[59],"component":[60],"analysis":[61],"(PCA)":[62],"was":[63,80,152,191],"concentrate":[66],"input":[68],"variables":[69,134,141],"into":[70],"common":[71,125,146],"component.":[72],"Then,":[73],"an":[74],"artificial":[75],"neural":[76],"network":[77,150],"(ANN)":[78],"model":[79,213,230],"conducted":[81],"based":[82],"on":[83,103],"factors":[85,97,126],"data.":[88,222],"result":[90,117,224],"showed":[91,118],"that":[92,98,119,226],"there":[93],"are":[94],"identified":[95],"fifteen":[96],"have":[99],"a":[100],"greater":[101],"impact":[102],"reliability,":[105],"accounting":[106],"for":[107,129,219],"65.2%":[108],"all":[113],"PCA":[116],"contribution":[121],"rate":[122],"eight":[124,145],"reached":[127],"80.6%":[128],"total":[131],"variance":[132],"cumulative":[137],"variance.":[138],"Therefore,":[139],"these":[140],"were":[142],"explained":[143],"by":[144],"components.":[147],"8-14-1":[149],"structure":[151],"can":[153,173,231],"obtain":[154,174],"minimum":[156],"MSE":[159,177],"(0.0058)":[160],"maximum":[163,181],"R":[165,182],"<sup":[166,183],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[167,184],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[168,185],"(0.9814).":[169],"predicted":[171],"data":[172],"minimal":[176],"value":[178],"(0.0035)":[179],"(0.9886)":[186],"when":[187],"\u2018Relu\u2019":[189],"function":[190,196],"as":[193],"activation":[195],"hidden":[200],"layer":[201],"output":[203],"layer.":[204],"average":[206],"accuracy":[208],"constructed":[211],"ANN":[212,229],"more":[215],"than":[216],"exceeded":[217],"92%":[218],"test":[221],"This":[223],"indicated":[225],"developed":[228],"accurately":[232],"evaluate":[233],"operator\u2019s":[234],"SA.":[235]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
