{"id":"https://openalex.org/W4401110488","doi":"https://doi.org/10.1109/cits61189.2024.10607993","title":"Fiber Optical Module Anomaly Detection Using Graph Deep Learning Model","display_name":"Fiber Optical Module Anomaly Detection Using Graph Deep Learning Model","publication_year":2024,"publication_date":"2024-07-17","ids":{"openalex":"https://openalex.org/W4401110488","doi":"https://doi.org/10.1109/cits61189.2024.10607993"},"language":"en","primary_location":{"id":"doi:10.1109/cits61189.2024.10607993","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cits61189.2024.10607993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Computer, Information and Telecommunication Systems (CITS)","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/A5023531675","display_name":"Yunjie Li","orcid":"https://orcid.org/0000-0003-3721-0178"},"institutions":[{"id":"https://openalex.org/I92172085","display_name":"Chunghwa Telecom (Taiwan)","ror":"https://ror.org/04f786589","country_code":"TW","type":"company","lineage":["https://openalex.org/I92172085"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yun-Jie Li","raw_affiliation_strings":["Telecommunication Laboratories, Chunghwa Telecom,Network Management Laboratory,Taoyuan,R.O.C. (Taiwan)"],"affiliations":[{"raw_affiliation_string":"Telecommunication Laboratories, Chunghwa Telecom,Network Management Laboratory,Taoyuan,R.O.C. (Taiwan)","institution_ids":["https://openalex.org/I92172085"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064836219","display_name":"Jhao-Yin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I92172085","display_name":"Chunghwa Telecom (Taiwan)","ror":"https://ror.org/04f786589","country_code":"TW","type":"company","lineage":["https://openalex.org/I92172085"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jhao-Yin Li","raw_affiliation_strings":["Telecommunication Laboratories, Chunghwa Telecom,Network Management Laboratory,Taoyuan,R.O.C. (Taiwan)"],"affiliations":[{"raw_affiliation_string":"Telecommunication Laboratories, Chunghwa Telecom,Network Management Laboratory,Taoyuan,R.O.C. (Taiwan)","institution_ids":["https://openalex.org/I92172085"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010090540","display_name":"Hao-Yu Kao","orcid":null},"institutions":[{"id":"https://openalex.org/I92172085","display_name":"Chunghwa Telecom (Taiwan)","ror":"https://ror.org/04f786589","country_code":"TW","type":"company","lineage":["https://openalex.org/I92172085"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hao-Yu Kao","raw_affiliation_strings":["Telecommunication Laboratories, Chunghwa Telecom,Network Management Laboratory,Taoyuan,R.O.C. (Taiwan)"],"affiliations":[{"raw_affiliation_string":"Telecommunication Laboratories, Chunghwa Telecom,Network Management Laboratory,Taoyuan,R.O.C. (Taiwan)","institution_ids":["https://openalex.org/I92172085"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087093887","display_name":"Yi-Lin Tsai","orcid":"https://orcid.org/0000-0002-6698-3762"},"institutions":[{"id":"https://openalex.org/I92172085","display_name":"Chunghwa Telecom (Taiwan)","ror":"https://ror.org/04f786589","country_code":"TW","type":"company","lineage":["https://openalex.org/I92172085"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Lin Tsai","raw_affiliation_strings":["Telecommunication Laboratories, Chunghwa Telecom,Network Management Laboratory,Taoyuan,R.O.C. (Taiwan)"],"affiliations":[{"raw_affiliation_string":"Telecommunication Laboratories, Chunghwa Telecom,Network Management Laboratory,Taoyuan,R.O.C. (Taiwan)","institution_ids":["https://openalex.org/I92172085"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023531675"],"corresponding_institution_ids":["https://openalex.org/I92172085"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09905778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.98580002784729,"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":0.98580002784729,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6730166673660278},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6358985900878906},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4641123414039612},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4310934245586395},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4282824397087097},{"id":"https://openalex.org/keywords/optical-fiber","display_name":"Optical fiber","score":0.42761099338531494},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.17768150568008423},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12261265516281128},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07804399728775024}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6730166673660278},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6358985900878906},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4641123414039612},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4310934245586395},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4282824397087097},{"id":"https://openalex.org/C194232370","wikidata":"https://www.wikidata.org/wiki/Q162","display_name":"Optical fiber","level":2,"score":0.42761099338531494},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.17768150568008423},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12261265516281128},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07804399728775024},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cits61189.2024.10607993","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cits61189.2024.10607993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Computer, Information and Telecommunication Systems (CITS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2011301426","https://openalex.org/W2032280284","https://openalex.org/W2101234009","https://openalex.org/W2132022337","https://openalex.org/W2813318576","https://openalex.org/W2919221886","https://openalex.org/W2944250323","https://openalex.org/W2962791923","https://openalex.org/W2964015378","https://openalex.org/W3003257820","https://openalex.org/W3035965352","https://openalex.org/W3099878876","https://openalex.org/W3133666793","https://openalex.org/W3150635270","https://openalex.org/W3153872861","https://openalex.org/W3208688400","https://openalex.org/W4213009331","https://openalex.org/W4226128225","https://openalex.org/W4288419263","https://openalex.org/W4290876361","https://openalex.org/W4295312788","https://openalex.org/W4322614756","https://openalex.org/W4379927591","https://openalex.org/W4401946675","https://openalex.org/W6682889407","https://openalex.org/W6726873649","https://openalex.org/W6730084236","https://openalex.org/W6760045743","https://openalex.org/W6766978945","https://openalex.org/W6853031907","https://openalex.org/W7016021835"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"Graph":[0,118,138],"deep":[1,17,22,63],"learning":[2,19,23,64],"models":[3],"represent":[4],"a":[5,55,117,123,136],"novel":[6],"technique":[7],"in":[8,40,90,129,177],"the":[9,25,47,80,97,109,149,167,194],"field":[10],"of":[11,82,88,99,169],"machine":[12,18],"learning.":[13],"Compared":[14],"to":[15,27,65,126,165],"typical":[16],"approaches,":[20],"graph":[21,62],"has":[24],"capability":[26],"store":[28],"information":[29,189],"about":[30],"relationships.":[31],"This":[32],"is":[33],"particularly":[34],"useful":[35],"for":[36],"real-world":[37,66],"data,":[38,77],"especially":[39],"domains":[41],"such":[42],"as":[43,54,122],"telecom":[44,67],"networks,":[45],"where":[46,96],"network":[48],"architecture":[49],"itself":[50],"can":[51,101,192],"be":[52,105],"represented":[53],"graph.":[56,150],"In":[57],"this":[58,113,155,178],"study,":[59],"we":[60,115,134],"applied":[61],"data":[68],"and":[69,103,146,157,171,182],"analyzed":[70],"it":[71],"using":[72,154],"Digital":[73],"Diagnostics":[74],"Monitoring":[75],"(DDM)":[76],"which":[78],"monitors":[79],"status":[81],"fiber":[83,130],"optic":[84,131],"modules.":[85,132],"The":[86,173,184],"problem":[87],"DDM":[89],"practice":[91],"often":[92],"involves":[93],"anomaly":[94],"detection,":[95],"patterns":[98],"anomalies":[100,128],"vary":[102],"cannot":[104],"directly":[106],"learned":[107],"from":[108,190],"data.":[110],"To":[111],"address":[112],"challenge,":[114],"employed":[116],"AutoEncoder":[119],"model":[120,125,141,156],"(GAE)":[121,140],"classification":[124],"predict":[127],"Specifically,":[133],"constructed":[135],"sophisticated":[137],"AutoEn-coder":[139],"that":[142,187],"incorporates":[143],"both":[144],"nodes":[145,170],"edges":[147,191],"within":[148],"We":[151],"conducted":[152],"experiments":[153],"evaluated":[158],"its":[159],"performance":[160,174],"by":[161],"adjusting":[162],"internal":[163],"parameters":[164],"manipulate":[166],"influence":[168],"edges.":[172],"metrics":[175],"utilized":[176],"study":[179],"are":[180],"Precision":[181],"Recall.":[183],"results":[185],"indicate":[186],"incorporating":[188],"enhance":[193],"model's":[195],"performance.":[196]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}