{"id":"https://openalex.org/W4404563755","doi":"https://doi.org/10.1109/tc.2024.3500378","title":"COSMO: COmpressed Sensing for Models and Logging Optimization in MCU Performance Screening","display_name":"COSMO: COmpressed Sensing for Models and Logging Optimization in MCU Performance Screening","publication_year":2024,"publication_date":"2024-11-20","ids":{"openalex":"https://openalex.org/W4404563755","doi":"https://doi.org/10.1109/tc.2024.3500378"},"language":"en","primary_location":{"id":"doi:10.1109/tc.2024.3500378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2024.3500378","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","1557-9956","2326-3814"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computers","raw_type":"journal-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/A5047075336","display_name":"Nicol\u00f2 Bellarmino","orcid":"https://orcid.org/0000-0001-5887-2598"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Nicol\u00f2 Bellarmino","raw_affiliation_strings":["Politecnico di Torino, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino, Turin, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089672314","display_name":"Riccardo Cantoro","orcid":"https://orcid.org/0000-0002-1745-5293"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Riccardo Cantoro","raw_affiliation_strings":["Politecnico di Torino, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino, Turin, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082948079","display_name":"Sophie M. Fosson","orcid":"https://orcid.org/0000-0003-2316-7404"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sophie M. Fosson","raw_affiliation_strings":["Politecnico di Torino, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino, Turin, Italy","institution_ids":["https://openalex.org/I177477856"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090656096","display_name":"Martin Huch","orcid":"https://orcid.org/0009-0003-0388-9861"},"institutions":[{"id":"https://openalex.org/I137594350","display_name":"Infineon Technologies (Germany)","ror":"https://ror.org/005kw6t15","country_code":"DE","type":"company","lineage":["https://openalex.org/I137594350"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Martin Huch","raw_affiliation_strings":["Infineon Technologies AG, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Infineon Technologies AG, Munich, Germany","institution_ids":["https://openalex.org/I137594350"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038137494","display_name":"Tobias Kilian","orcid":"https://orcid.org/0000-0001-7911-2889"},"institutions":[{"id":"https://openalex.org/I137594350","display_name":"Infineon Technologies (Germany)","ror":"https://ror.org/005kw6t15","country_code":"DE","type":"company","lineage":["https://openalex.org/I137594350"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias Kilian","raw_affiliation_strings":["Infineon Technologies AG, Munich, Germany","Technical University of Munich, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Infineon Technologies AG, Munich, Germany","institution_ids":["https://openalex.org/I137594350"]},{"raw_affiliation_string":"Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017567485","display_name":"Ulf Schlichtmann","orcid":"https://orcid.org/0000-0003-4431-7619"},"institutions":[{"id":"https://openalex.org/I137594350","display_name":"Infineon Technologies (Germany)","ror":"https://ror.org/005kw6t15","country_code":"DE","type":"company","lineage":["https://openalex.org/I137594350"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ulf Schlichtmann","raw_affiliation_strings":["Technical University of Munich, Munich, Germany","Infineon Technologies AG, Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich, Munich, Germany","institution_ids":["https://openalex.org/I62916508"]},{"raw_affiliation_string":"Infineon Technologies AG, Munich, Germany","institution_ids":["https://openalex.org/I137594350"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024501121","display_name":"Giovanni Squillero","orcid":"https://orcid.org/0000-0001-5784-6435"},"institutions":[{"id":"https://openalex.org/I177477856","display_name":"Politecnico di Torino","ror":"https://ror.org/00bgk9508","country_code":"IT","type":"education","lineage":["https://openalex.org/I177477856"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giovanni Squillero","raw_affiliation_strings":["Politecnico di Torino, Turin, Italy"],"affiliations":[{"raw_affiliation_string":"Politecnico di Torino, Turin, Italy","institution_ids":["https://openalex.org/I177477856"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5047075336"],"corresponding_institution_ids":["https://openalex.org/I177477856"],"apc_list":null,"apc_paid":null,"fwci":1.0392,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79435639,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"74","issue":"2","first_page":"652","last_page":"664"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.8665000200271606,"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"}},"topics":[{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.8665000200271606,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.7968999743461609,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.7555999755859375,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/logging","display_name":"Logging","score":0.6920670866966248},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6676936149597168},{"id":"https://openalex.org/keywords/microcontroller","display_name":"Microcontroller","score":0.5624215602874756},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5272426009178162},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.37785717844963074},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.3268631100654602},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22871237993240356}],"concepts":[{"id":"https://openalex.org/C125620115","wikidata":"https://www.wikidata.org/wiki/Q845249","display_name":"Logging","level":2,"score":0.6920670866966248},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6676936149597168},{"id":"https://openalex.org/C173018170","wikidata":"https://www.wikidata.org/wiki/Q165678","display_name":"Microcontroller","level":2,"score":0.5624215602874756},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5272426009178162},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.37785717844963074},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3268631100654602},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22871237993240356},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tc.2024.3500378","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2024.3500378","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","1557-9956","2326-3814"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W143004564","https://openalex.org/W1977771380","https://openalex.org/W2016381774","https://openalex.org/W2018998004","https://openalex.org/W2076118331","https://openalex.org/W2101675075","https://openalex.org/W2102636708","https://openalex.org/W2103215959","https://openalex.org/W2127271355","https://openalex.org/W2129638195","https://openalex.org/W2139315617","https://openalex.org/W2143426320","https://openalex.org/W2337040835","https://openalex.org/W2508369770","https://openalex.org/W2544286079","https://openalex.org/W2793350103","https://openalex.org/W2897775965","https://openalex.org/W2911964244","https://openalex.org/W2997591727","https://openalex.org/W3122821473","https://openalex.org/W3134565505","https://openalex.org/W3173467385","https://openalex.org/W3180380519","https://openalex.org/W4206095984","https://openalex.org/W4225486162","https://openalex.org/W4297337548","https://openalex.org/W4298304654","https://openalex.org/W4321021413","https://openalex.org/W4381746652","https://openalex.org/W4384026332","https://openalex.org/W4388919021","https://openalex.org/W4392746589","https://openalex.org/W4401211267","https://openalex.org/W6677446445","https://openalex.org/W6678353954","https://openalex.org/W6680156768","https://openalex.org/W6687464146","https://openalex.org/W6756454887","https://openalex.org/W6765213864","https://openalex.org/W6775276013","https://openalex.org/W6776209694","https://openalex.org/W6810520457","https://openalex.org/W6846941182","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W4316095964","https://openalex.org/W2383001583","https://openalex.org/W2158224665","https://openalex.org/W2771395446","https://openalex.org/W2131084560","https://openalex.org/W3112038843","https://openalex.org/W2379589510","https://openalex.org/W2088310429","https://openalex.org/W3091627987","https://openalex.org/W2147310439"],"abstract_inverted_index":{"In":[0,174],"safety-critical":[1],"applications,":[2],"microcontrollers":[3],"must":[4],"meet":[5],"stringent":[6],"quality":[7],"and":[8,117,124,171],"performance":[9,136],"standards,":[10],"including":[11],"the":[12,41,50,62,103,115],"maximum":[13],"operating":[14],"frequency":[15],"<inline-formula><tex-math":[16,26,59,96],"notation=\"LaTeX\">$F_{\\max}$</tex-math></inline-formula>.":[17,60],"Machine":[18],"learning":[19],"models":[20,56,179],"have":[21],"proven":[22],"effective":[23],"in":[24,74,134,196],"estimating":[25],"notation=\"LaTeX\">$F_{\\max}$</tex-math></inline-formula>":[27,97],"by":[28],"utilizing":[29],"data":[30,66],"from":[31],"on-chip":[32],"ring":[33,44,85,104,142,183],"oscillators.":[34,143],"Previous":[35],"research":[36],"has":[37],"shown":[38],"that":[39,67],"increasing":[40],"number":[42,83],"of":[43,52,64,84,102,188],"oscillators":[45,86],"on":[46,139,156],"board":[47],"can":[48],"enable":[49],"deployment":[51],"simple":[53],"linear":[54,100,129,178],"regression":[55],"to":[57,91,113,190],"predict":[58],"However,":[61],"scarcity":[63],"labeled":[65],"characterize":[68],"this":[69,107],"context":[70],"poses":[71],"a":[72,80,99],"challenge":[73],"managing":[75],"high-dimensional":[76],"feature":[77,119,167],"spaces;":[78],"moreover,":[79],"very":[81],"high":[82,151],"is":[87],"not":[88],"desirable":[89],"due":[90],"technological":[92],"reasons.":[93],"By":[94],"modeling":[95],"as":[98],"combination":[101],"oscillators\u2019":[105],"values,":[106],"paper":[108],"employs":[109],"Compressed":[110,162],"Sensing":[111,163],"theory":[112],"build":[114],"model":[116,122],"perform":[118],"selection,":[120],"enhancing":[121],"efficiency":[123],"interpretability.":[125],"We":[126],"explore":[127],"regularized":[128,177],"methods":[130],"with":[131,164,192],"convex/non-convex":[132],"penalties":[133],"microcontroller":[135,159],"screening,":[137],"focusing":[138],"selecting":[140],"informative":[141],"This":[144],"permits":[145],"reducing":[146],"models\u2019":[147],"footprint":[148],"while":[149],"retaining":[150],"prediction":[152,197],"accuracy.":[153],"Our":[154],"experiments":[155],"two":[157,165],"real-world":[158],"products":[160],"compare":[161],"alternative":[166],"selection":[168],"approaches:":[169],"filter":[170],"wrapped":[172],"methods.":[173],"our":[175],"experiments,":[176],"effectively":[180],"identify":[181],"relevant":[182],"oscillators,":[184],"achieving":[185],"compression":[186],"rates":[187],"up":[189],"32:1,":[191],"no":[193],"substantial":[194],"loss":[195],"metrics.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}