{"id":"https://openalex.org/W7116936556","doi":"https://doi.org/10.1109/itnac66378.2025.11302563","title":"Real-time anomaly detection system for ERESS using time series analysis","display_name":"Real-time anomaly detection system for ERESS using time series analysis","publication_year":2025,"publication_date":"2025-11-26","ids":{"openalex":"https://openalex.org/W7116936556","doi":"https://doi.org/10.1109/itnac66378.2025.11302563"},"language":null,"primary_location":{"id":"doi:10.1109/itnac66378.2025.11302563","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itnac66378.2025.11302563","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 35th International Telecommunication Networks and Applications Conference (ITNAC)","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/A5078279410","display_name":"Tomotaka Wada","orcid":"https://orcid.org/0000-0002-3187-5411"},"institutions":[{"id":"https://openalex.org/I56624758","display_name":"Kansai University","ror":"https://ror.org/03xg1f311","country_code":"JP","type":"education","lineage":["https://openalex.org/I56624758"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tomotaka Wada","raw_affiliation_strings":["Kansai University, Suita-shi,Faculty of Engineering Science,Department of Electrical, Electronic and Information Engineering,OSAKA,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kansai University, Suita-shi,Faculty of Engineering Science,Department of Electrical, Electronic and Information Engineering,OSAKA,Japan","institution_ids":["https://openalex.org/I56624758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121121396","display_name":"Ryuta Kameoka","orcid":null},"institutions":[{"id":"https://openalex.org/I56624758","display_name":"Kansai University","ror":"https://ror.org/03xg1f311","country_code":"JP","type":"education","lineage":["https://openalex.org/I56624758"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryuta Kameoka","raw_affiliation_strings":["Kansai University, Suita-shi,Faculty of Engineering Science,Department of Electrical, Electronic and Information Engineering,OSAKA,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kansai University, Suita-shi,Faculty of Engineering Science,Department of Electrical, Electronic and Information Engineering,OSAKA,Japan","institution_ids":["https://openalex.org/I56624758"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008930096","display_name":"Kazuya Mori","orcid":null},"institutions":[{"id":"https://openalex.org/I56624758","display_name":"Kansai University","ror":"https://ror.org/03xg1f311","country_code":"JP","type":"education","lineage":["https://openalex.org/I56624758"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuya Mori","raw_affiliation_strings":["Kansai University, Suita-shi,Integrated Science and Engineering Major, Graduate School of Science and Engineering,OSAKA,Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kansai University, Suita-shi,Integrated Science and Engineering Major, Graduate School of Science and Engineering,OSAKA,Japan","institution_ids":["https://openalex.org/I56624758"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078279410"],"corresponding_institution_ids":["https://openalex.org/I56624758"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.79293225,"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":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.8783000111579895,"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":0.8783000111579895,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.03590000048279762,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T13018","display_name":"Seismology and Earthquake Studies","score":0.008299999870359898,"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/anomaly-detection","display_name":"Anomaly detection","score":0.7850000262260437},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6129999756813049},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5559999942779541},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5203999876976013},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.47049999237060547},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.30140000581741333}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7850000262260437},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6129999756813049},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5734000205993652},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5559999942779541},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5203999876976013},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.47049999237060547},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44040000438690186},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3440999984741211},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32519999146461487},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30489999055862427},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.30140000581741333},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.27300000190734863},{"id":"https://openalex.org/C29825287","wikidata":"https://www.wikidata.org/wiki/Q1427940","display_name":"Warning system","level":2,"score":0.26429998874664307}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itnac66378.2025.11302563","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itnac66378.2025.11302563","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 35th International Telecommunication Networks and Applications Conference (ITNAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6781927943229675,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322312","display_name":"Kansai University","ror":"https://ror.org/03xg1f311"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W3025765010","https://openalex.org/W3135453872","https://openalex.org/W4399845028"],"related_works":[],"abstract_inverted_index":{"We":[0],"propose":[1,43],"an":[2],"emergency":[3],"rescue":[4],"evacuation":[5],"support":[6],"system":[7,27,48],"(ERESS)":[8],"that":[9,25,68],"functions":[10],"immediately":[11],"after":[12],"localized":[13],"disasters":[14],"such":[15],"as":[16],"fires":[17],"or":[18],"terrorist":[19],"attacks.":[20],"However,":[21],"there":[22],"are":[23],"problems":[24],"this":[26,40],"has":[28],"its":[29],"low":[30],"reliability":[31],"and":[32,58,80],"slow":[33],"detection":[34,47,78,82],"in":[35,75],"anomaly":[36,46,61],"detection.":[37,62],"To":[38],"solve":[39],"problem,":[41],"we":[42,66],"a":[44],"real-time":[45],"for":[49],"ERESS":[50],"using":[51],"time-series":[52],"analysis":[53],"to":[54],"improve":[55],"the":[56],"accuracy":[57,79],"speed":[59],"of":[60,77],"Through":[63],"experimental":[64],"evaluation,":[65],"demonstrate":[67],"our":[69],"proposed":[70],"method":[71],"outperforms":[72],"existing":[73],"methods":[74],"terms":[76],"reduces":[81],"time.":[83]},"counts_by_year":[],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-12-23T00:00:00"}
