{"id":"https://openalex.org/W3045395801","doi":"https://doi.org/10.1109/access.2020.3011254","title":"Top-Down Human-Cyber-Physical Data Fusion Based on Reinforcement Learning","display_name":"Top-Down Human-Cyber-Physical Data Fusion Based on Reinforcement Learning","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3045395801","doi":"https://doi.org/10.1109/access.2020.3011254","mag":"3045395801"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3011254","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3011254","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09146164.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/ielx7/6287639/8948470/09146164.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100658277","display_name":"Sen Chen","orcid":"https://orcid.org/0000-0002-1256-3105"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sen Chen","raw_affiliation_strings":["Computer Integrated Manufacturing System Research Center, College of Electronics and Information Engineering, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-1256-3105","affiliations":[{"raw_affiliation_string":"Computer Integrated Manufacturing System Research Center, College of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370328","display_name":"Jian Wang","orcid":"https://orcid.org/0000-0001-5184-7023"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Wang","raw_affiliation_strings":["Computer Integrated Manufacturing System Research Center, College of Electronics and Information Engineering, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Integrated Manufacturing System Research Center, College of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101461241","display_name":"Hongze Li","orcid":"https://orcid.org/0000-0002-3985-6805"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongze Li","raw_affiliation_strings":["Computer Integrated Manufacturing System Research Center, College of Electronics and Information Engineering, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-3985-6805","affiliations":[{"raw_affiliation_string":"Computer Integrated Manufacturing System Research Center, College of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000801204","display_name":"Zhaoping Wang","orcid":"https://orcid.org/0000-0002-2251-733X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaoping Wang","raw_affiliation_strings":["Computer Integrated Manufacturing System Research Center, College of Electronics and Information Engineering, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-2251-733X","affiliations":[{"raw_affiliation_string":"Computer Integrated Manufacturing System Research Center, College of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101523650","display_name":"Feixiang Liu","orcid":"https://orcid.org/0000-0001-9882-9439"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feixiang Liu","raw_affiliation_strings":["Computer Integrated Manufacturing System Research Center, College of Electronics and Information Engineering, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9882-9439","affiliations":[{"raw_affiliation_string":"Computer Integrated Manufacturing System Research Center, College of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100415957","display_name":"Shuang Li","orcid":"https://orcid.org/0000-0003-2057-8574"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Li","raw_affiliation_strings":["Computer Integrated Manufacturing System Research Center, College of Electronics and Information Engineering, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Integrated Manufacturing System Research Center, College of Electronics and Information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100658277"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.4959,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.86422651,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"134233","last_page":"134245"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9409999847412109,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9409999847412109,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.9314000010490417,"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/T10809","display_name":"Occupational Health and Safety Research","score":0.9258000254631042,"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/computer-science","display_name":"Computer science","score":0.764120876789093},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6043879985809326},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5715181231498718},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.5252751111984253},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5141940116882324},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5109840631484985},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47162508964538574},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.45731043815612793},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43956854939460754},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36220791935920715}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.764120876789093},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6043879985809326},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5715181231498718},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.5252751111984253},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5141940116882324},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5109840631484985},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47162508964538574},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.45731043815612793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43956854939460754},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36220791935920715},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3011254","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3011254","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09146164.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:70b765ac05aa40399a2898e885dddab6","is_oa":true,"landing_page_url":"https://doaj.org/article/70b765ac05aa40399a2898e885dddab6","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 8, Pp 134233-134245 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3011254","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3011254","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09146164.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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3045395801.pdf","grobid_xml":"https://content.openalex.org/works/W3045395801.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W1510049598","https://openalex.org/W1718306640","https://openalex.org/W1998232052","https://openalex.org/W2007952325","https://openalex.org/W2048619613","https://openalex.org/W2159475918","https://openalex.org/W2175057509","https://openalex.org/W2397340457","https://openalex.org/W2500954066","https://openalex.org/W2507070599","https://openalex.org/W2508333538","https://openalex.org/W2556429926","https://openalex.org/W2568351164","https://openalex.org/W2569454357","https://openalex.org/W2584816862","https://openalex.org/W2600916186","https://openalex.org/W2604847142","https://openalex.org/W2726515824","https://openalex.org/W2740508916","https://openalex.org/W2750719472","https://openalex.org/W2756283906","https://openalex.org/W2762061038","https://openalex.org/W2765854388","https://openalex.org/W2767497603","https://openalex.org/W2776920133","https://openalex.org/W2782058284","https://openalex.org/W2794420688","https://openalex.org/W2802425047","https://openalex.org/W2806878106","https://openalex.org/W2888949514","https://openalex.org/W2896546201","https://openalex.org/W2907843228","https://openalex.org/W2910166048","https://openalex.org/W2910258701","https://openalex.org/W2911826201","https://openalex.org/W2914543518","https://openalex.org/W2914846572","https://openalex.org/W2921844049","https://openalex.org/W2923092290","https://openalex.org/W2940553102","https://openalex.org/W2940979366","https://openalex.org/W2941436489","https://openalex.org/W2943731983","https://openalex.org/W2946866959","https://openalex.org/W2971015590","https://openalex.org/W2972117947","https://openalex.org/W2982233504","https://openalex.org/W2986647026","https://openalex.org/W2994839763","https://openalex.org/W2995201943","https://openalex.org/W3019776739","https://openalex.org/W6630596454","https://openalex.org/W6735993925","https://openalex.org/W6776457816"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W2146867217","https://openalex.org/W2062592733","https://openalex.org/W8795902","https://openalex.org/W2085627709","https://openalex.org/W2150355991","https://openalex.org/W2381518157","https://openalex.org/W2128228838","https://openalex.org/W2081383551","https://openalex.org/W2282571455"],"abstract_inverted_index":{"With":[0],"the":[1,22,27,36,45,58,63,66,98,136,152,174,179,186,190,198,201,215,218],"development":[2],"of":[3,21,30,38,41,65,103,204,217],"industrial":[4],"Internet":[5,40,93],"and":[6,13,44,94,114,146,150,196],"artificial":[7],"intelligence,":[8],"data":[9,23,49,75,85,104,143,191],"fusion":[10,24,76,122],"in":[11,26,181],"cross-domains":[12],"cross-layers":[14],"have":[15],"become":[16],"an":[17,211],"inevitable":[18],"trend.":[19],"Most":[20],"involved":[25],"production":[28,68,202],"process":[29],"hot":[31,205],"rolling":[32],"are":[33,50],"concentrated":[34],"on":[35,79,132],"level":[37],"sensors,":[39],"Things":[42],"(IoT)":[43],"Internet;":[46],"but":[47],"human":[48,59],"not":[51],"well":[52],"integrated.":[53],"In":[54,117],"order":[55,118],"to":[56,111,119,158,213],"avoid":[57],"factor":[60],"from":[61,87,123],"becoming":[62],"bottleneck":[64],"entire":[67],"schedule,":[69],"this":[70,126],"paper":[71,127],"proposes":[72,128],"a":[73,101,129,171],"ternary":[74,99,124,142],"model":[77,155],"based":[78,131],"reinforcement":[80,133,153],"learning":[81,154],"algorithm.":[82],"The":[83],"related":[84],"source":[86,192],"human-cyber-physical":[88],"space":[89],"includes:":[90],"social":[91],"network,":[92],"IoT.":[95],"By":[96],"merging":[97],"data,":[100,125],"variety":[102],"(including":[105],"humans\u2019)":[106],"can":[107,177],"be":[108],"quickly":[109],"calculated":[110],"obtain":[112],"better":[113],"faster":[115],"decisions.":[116],"achieve":[120],"automated":[121],"method":[130,176,188],"learning:":[134],"firstly,":[135],"domain":[137],"ontology":[138],"used":[139,157,209],"for":[140,194],"associating":[141],"is":[144,156,208],"reduced":[145],"tessellated":[147],"(dimension":[148],"reduction),":[149],"then":[151],"form":[159],"\u201cthe":[160],"new":[161,175,187],"ontology\u201d.":[162],"Compared":[163],"with":[164],"resource-intensive":[165],"global":[166],"calculations":[167,180],"(which":[168],"may":[169],"cost":[170],"few":[172],"days),":[173],"complete":[178],"minutes.":[182],"This":[183],"means":[184],"that":[185],"optimizes":[189],"required":[193],"decision-making":[195],"improves":[197],"efficiency.":[199],"Finally,":[200],"scheduling":[203],"rolled":[206],"steel":[207],"as":[210],"example":[212],"verify":[214],"feasibility":[216],"proposed":[219],"method.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
