{"id":"https://openalex.org/W4407155115","doi":"https://doi.org/10.1109/access.2025.3538749","title":"Log-Driven Behavior Discrimination of Process Robots Using Entropy Similarity","display_name":"Log-Driven Behavior Discrimination of Process Robots Using Entropy Similarity","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407155115","doi":"https://doi.org/10.1109/access.2025.3538749"},"language":"en","primary_location":{"id":"doi:10.1109/access.2025.3538749","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3538749","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.2025.3538749","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043352633","display_name":"Lu Li","orcid":"https://orcid.org/0000-0001-6679-7145"},"institutions":[{"id":"https://openalex.org/I118987531","display_name":"Anhui Jianzhu University","ror":"https://ror.org/0108wjw08","country_code":"CN","type":"education","lineage":["https://openalex.org/I118987531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Li","raw_affiliation_strings":["School of Mathematics and Physics, Anhui Jianzhu University, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Physics, Anhui Jianzhu University, Hefei, Anhui, China","institution_ids":["https://openalex.org/I118987531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101663219","display_name":"Huan Fang","orcid":"https://orcid.org/0000-0001-7807-2117"},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huan Fang","raw_affiliation_strings":["College of Mathematics and Big Data, Anhui University of Science and Technology, Huainan, Anhui, China"],"raw_orcid":"https://orcid.org/0000-0001-7807-2117","affiliations":[{"raw_affiliation_string":"College of Mathematics and Big Data, Anhui University of Science and Technology, Huainan, Anhui, China","institution_ids":["https://openalex.org/I184681353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.01871175,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"24749","last_page":"24764"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9192000031471252,"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"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9192000031471252,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6442681550979614},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5610826015472412},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5108913779258728},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.487679123878479},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46652135252952576},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.416107177734375},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3931870460510254},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33974549174308777},{"id":"https://openalex.org/keywords/thermodynamics","display_name":"Thermodynamics","score":0.07273867726325989}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6442681550979614},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5610826015472412},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5108913779258728},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.487679123878479},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46652135252952576},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.416107177734375},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3931870460510254},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33974549174308777},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.07273867726325989},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2025.3538749","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3538749","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:a6cb3b4f1eed44c7b1336215d1faec77","is_oa":true,"landing_page_url":"https://doaj.org/article/a6cb3b4f1eed44c7b1336215d1faec77","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 13, Pp 24749-24764 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2025.3538749","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2025.3538749","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":[{"score":0.6899999976158142,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G4628974347","display_name":null,"funder_award_id":"2023YFC3807501","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5500432845","display_name":null,"funder_award_id":"61902002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1493698815","https://openalex.org/W1628017246","https://openalex.org/W2009636439","https://openalex.org/W2047107323","https://openalex.org/W2068604138","https://openalex.org/W2125815545","https://openalex.org/W2471349823","https://openalex.org/W2595077599","https://openalex.org/W2797939266","https://openalex.org/W2804154565","https://openalex.org/W2894695915","https://openalex.org/W2903974159","https://openalex.org/W2909168799","https://openalex.org/W2916692790","https://openalex.org/W2969679630","https://openalex.org/W3013259567","https://openalex.org/W3014722445","https://openalex.org/W3016177823","https://openalex.org/W3031825823","https://openalex.org/W3044946215","https://openalex.org/W3093786299","https://openalex.org/W3094071262","https://openalex.org/W3123135483","https://openalex.org/W3124548602","https://openalex.org/W3125493574","https://openalex.org/W3157630440","https://openalex.org/W3159224642","https://openalex.org/W3197646991","https://openalex.org/W3199485196","https://openalex.org/W3214167544","https://openalex.org/W4220816940","https://openalex.org/W4230145224","https://openalex.org/W4285208245","https://openalex.org/W4323266881","https://openalex.org/W4363677403","https://openalex.org/W4364374404","https://openalex.org/W4382203162","https://openalex.org/W4386987509","https://openalex.org/W6773609238"],"related_works":["https://openalex.org/W2375480909","https://openalex.org/W2353314428","https://openalex.org/W8302103","https://openalex.org/W2012019886","https://openalex.org/W2166090428","https://openalex.org/W2381021552","https://openalex.org/W2354749003","https://openalex.org/W2377121353","https://openalex.org/W3171631314","https://openalex.org/W2350529538"],"abstract_inverted_index":{"In":[0,88],"the":[1,19,38,46,50,61,84,110,122,137,157,186,190,201,222,228],"context":[2],"of":[3,55,63,71,125,159,169,194,203,210,217,227],"Robotic":[4],"Process":[5],"Automation,":[6],"process":[7,25,33,56,65,95,105,126],"robot":[8,11,106],"refers":[9],"to":[10,14,21,77,90,104,166,184],"software":[12],"corresponding":[13],"a":[15,29,68,208,215],"specific":[16],"process,":[17],"with":[18],"ability":[20],"capture":[22],"and":[23,45,52,73,151,172,179,196,225],"interpret":[24],"management.":[26],"It":[27],"is":[28,75,142,182],"fact":[30,59],"that":[31,112,120,136],"many":[32,64],"robots":[34,66],"are":[35,116,128,164,200,212],"derived":[36],"from":[37,80,109],"same":[39],"base":[40],"model":[41],"in":[42,97,135],"practical":[43],"applications,":[44],"main":[47],"reasons":[48],"include":[49],"inevitable":[51],"flexible":[53],"adaptability":[54],"models.":[57],"This":[58],"raises":[60],"question":[62],"having":[67],"high":[69],"degree":[70],"similarity,":[72],"it":[74],"hard":[76],"differentiate":[78,91],"them":[79],"each":[81],"other":[82],"under":[83],"state-of-the-art":[85],"similarity":[86,146,205],"measurements.":[87,206],"order":[89],"similar":[92],"but":[93],"different":[94],"robots,":[96],"this":[98],"paper":[99],"we":[100],"propose":[101],"an":[102],"approach":[103],"behavior":[107,139],"discrimination,":[108],"perspective":[111],"only":[113],"event":[114,162],"logs":[115,163],"given":[117],"as":[118],"known,":[119],"is,":[121],"reference":[123],"models":[124,127],"kept":[129],"unknown.":[130],"The":[131],"biggest":[132],"innovation":[133],"lies":[134],"proposed":[138,229],"discrimination":[140],"method":[141],"based":[143],"on":[144,214],"log-entropy":[145],"measurement":[147],"using":[148,156],"probability":[149,167,192],"distributions":[150,168,193],"statistical":[152,187,198],"distance":[153,188],"theory.":[154],"Specifically,":[155],"concept":[158],"log":[160,204],"entropy,":[161],"transformed":[165],"trace":[170],"multisets":[171],"activity":[173],"pairs":[174],"multisets,":[175],"respectively.":[176],"Then,":[177],"JS":[178],"KL":[180],"divergence":[181],"used":[183],"measure":[185],"between":[189],"two":[191],"processes,":[195],"these":[197],"distances":[199],"foundations":[202],"Finally,":[207],"series":[209],"experiments":[211],"conducted":[213],"set":[216],"publicly":[218],"available":[219],"datasets,":[220],"validating":[221],"feasibility,":[223],"generality,":[224],"effectiveness":[226],"method.":[230]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}