{"id":"https://openalex.org/W2946995772","doi":"https://doi.org/10.1109/coolchips.2019.8721337","title":"Performance and Cost Evaluations of Online Sequential Learning and Unsupervised Anomaly Detection Core","display_name":"Performance and Cost Evaluations of Online Sequential Learning and Unsupervised Anomaly Detection Core","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2946995772","doi":"https://doi.org/10.1109/coolchips.2019.8721337","mag":"2946995772"},"language":"en","primary_location":{"id":"doi:10.1109/coolchips.2019.8721337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coolchips.2019.8721337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS)","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/A5032893602","display_name":"Tomoya Itsubo","orcid":null},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoya Itsubo","raw_affiliation_strings":["Dept. of Information and Computer Science, Keio University, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Information and Computer Science, Keio University, JAPAN","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090218014","display_name":"Mineto Tsukada","orcid":"https://orcid.org/0000-0002-2426-4516"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Mineto Tsukada","raw_affiliation_strings":["Dept. of Information and Computer Science, Keio University, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Information and Computer Science, Keio University, JAPAN","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041549339","display_name":"Hiroki Matsutani","orcid":"https://orcid.org/0000-0001-9578-3842"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki Matsutani","raw_affiliation_strings":["Dept. of Information and Computer Science, Keio University, JAPAN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Information and Computer Science, Keio University, JAPAN","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I203951103"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04674163,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"313","issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9988999962806702,"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/T12676","display_name":"Machine Learning and ELM","score":0.9988999962806702,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9980000257492065,"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":0.9962000250816345,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.775892972946167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7597849369049072},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.7188201546669006},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6440027952194214},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.6420106291770935},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4923588037490845},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4888121783733368},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.485590398311615},{"id":"https://openalex.org/keywords/online-learning","display_name":"Online learning","score":0.4817890524864197},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.10811084508895874},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07990014553070068},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.07035097479820251}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.775892972946167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7597849369049072},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.7188201546669006},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6440027952194214},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.6420106291770935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4923588037490845},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4888121783733368},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.485590398311615},{"id":"https://openalex.org/C2986087404","wikidata":"https://www.wikidata.org/wiki/Q15946010","display_name":"Online learning","level":2,"score":0.4817890524864197},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.10811084508895874},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07990014553070068},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.07035097479820251},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coolchips.2019.8721337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coolchips.2019.8721337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2100495367","https://openalex.org/W2158054309","https://openalex.org/W2908324624","https://openalex.org/W6757581798"],"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":{"Toward":[0],"on-device":[1],"learning":[2,12],"on":[3],"IoT":[4],"devices,":[5],"this":[6],"paper":[7],"implements":[8],"an":[9],"online":[10],"sequential":[11],"and":[13,18,34],"unsupervised":[14],"anomaly":[15],"detection":[16],"core":[17],"explores":[19],"its":[20],"design":[21],"options,":[22],"such":[23],"as":[24],"pipeline":[25],"structure.":[26],"They":[27],"are":[28],"evaluated":[29],"in":[30],"terms":[31],"of":[32],"performance":[33],"cost.":[35]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}