{"id":"https://openalex.org/W4392158252","doi":"https://doi.org/10.1109/globecom54140.2023.10437318","title":"Investigating Compressive Sensing Applications Through Real Infrastructures Inertial Signals Analysis","display_name":"Investigating Compressive Sensing Applications Through Real Infrastructures Inertial Signals Analysis","publication_year":2023,"publication_date":"2023-12-04","ids":{"openalex":"https://openalex.org/W4392158252","doi":"https://doi.org/10.1109/globecom54140.2023.10437318"},"language":"en","primary_location":{"id":"doi:10.1109/globecom54140.2023.10437318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom54140.2023.10437318","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2023 - 2023 IEEE Global Communications Conference","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/A5055392194","display_name":"Igor Bisio","orcid":"https://orcid.org/0000-0003-3198-7306"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Igor Bisio","raw_affiliation_strings":["University of Genoa,DITEN Department,Italy","DITEN Department, University of Genoa, Italy"],"affiliations":[{"raw_affiliation_string":"University of Genoa,DITEN Department,Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"DITEN Department, University of Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045825361","display_name":"Chiara Garibotto","orcid":"https://orcid.org/0000-0002-6107-2484"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Chiara Garibotto","raw_affiliation_strings":["University of Genoa,DITEN Department,Italy","DITEN Department, University of Genoa, Italy"],"affiliations":[{"raw_affiliation_string":"University of Genoa,DITEN Department,Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"DITEN Department, University of Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069126784","display_name":"Fabio Lavagetto","orcid":"https://orcid.org/0000-0003-3692-4021"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Lavagetto","raw_affiliation_strings":["University of Genoa,DITEN Department,Italy","DITEN Department, University of Genoa, Italy"],"affiliations":[{"raw_affiliation_string":"University of Genoa,DITEN Department,Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"DITEN Department, University of Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046303512","display_name":"Andrea Sciarrone","orcid":"https://orcid.org/0000-0001-7023-2710"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Andrea Sciarrone","raw_affiliation_strings":["University of Genoa,DITEN Department,Italy","DITEN Department, University of Genoa, Italy"],"affiliations":[{"raw_affiliation_string":"University of Genoa,DITEN Department,Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"DITEN Department, University of Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5093111462","display_name":"Matteo Zerbino","orcid":"https://orcid.org/0009-0007-6115-1696"},"institutions":[{"id":"https://openalex.org/I83816512","display_name":"University of Genoa","ror":"https://ror.org/0107c5v14","country_code":"IT","type":"education","lineage":["https://openalex.org/I83816512"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Matteo Zerbino","raw_affiliation_strings":["University of Genoa,DITEN Department,Italy","DITEN Department, University of Genoa, Italy"],"affiliations":[{"raw_affiliation_string":"University of Genoa,DITEN Department,Italy","institution_ids":["https://openalex.org/I83816512"]},{"raw_affiliation_string":"DITEN Department, University of Genoa, Italy","institution_ids":["https://openalex.org/I83816512"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5055392194"],"corresponding_institution_ids":["https://openalex.org/I83816512"],"apc_list":null,"apc_paid":null,"fwci":0.6505,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6488912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"279","last_page":"284"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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":0.6156623363494873},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5806456208229065},{"id":"https://openalex.org/keywords/inertial-frame-of-reference","display_name":"Inertial frame of reference","score":0.5141811370849609},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.4610447585582733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1406562626361847},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07779628038406372}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6156623363494873},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5806456208229065},{"id":"https://openalex.org/C173386949","wikidata":"https://www.wikidata.org/wiki/Q192735","display_name":"Inertial frame of reference","level":2,"score":0.5141811370849609},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.4610447585582733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1406562626361847},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07779628038406372},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/globecom54140.2023.10437318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globecom54140.2023.10437318","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2023 - 2023 IEEE Global Communications Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unige.it:11567/1186400","is_oa":false,"landing_page_url":"https://hdl.handle.net/11567/1186400","pdf_url":null,"source":{"id":"https://openalex.org/S4377196291","display_name":"CINECA IRIS Institutial Research Information System (University of Genoa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I83816512","host_organization_name":"University of Genoa","host_organization_lineage":["https://openalex.org/I83816512"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"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":18,"referenced_works":["https://openalex.org/W143004564","https://openalex.org/W2086582537","https://openalex.org/W2113642685","https://openalex.org/W2119667497","https://openalex.org/W2166361758","https://openalex.org/W2335505399","https://openalex.org/W2340360321","https://openalex.org/W2508659025","https://openalex.org/W2587696068","https://openalex.org/W2802093118","https://openalex.org/W2888040621","https://openalex.org/W3010393773","https://openalex.org/W3089749896","https://openalex.org/W3111780870","https://openalex.org/W3112621486","https://openalex.org/W4210757962","https://openalex.org/W4283205470","https://openalex.org/W4292261601"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2158224665","https://openalex.org/W2091018038","https://openalex.org/W2379589510","https://openalex.org/W2225378543","https://openalex.org/W2810730439","https://openalex.org/W9839718","https://openalex.org/W2382856674"],"abstract_inverted_index":{"Compressive":[0],"Sensing":[1],"(CS)":[2],"is":[3,65,95,165],"a":[4,24,28,39,66,155,159,166,176,183],"sampling":[5],"technique":[6],"which,":[7],"provided":[8],"the":[9,12,19,36,102,106,171],"sparsity":[10],"of":[11,18,32,41,108,124,169,178,186,193],"arrival":[13],"domain":[14],"and":[15,68,80,130,138,158],"specific":[16],"properties":[17],"reconstruction":[20],"matrix,":[21],"allows":[22],"rebuilding":[23],"vector":[25],"starting":[26],"from":[27,44,127,150],"significantly":[29],"small":[30],"subset":[31,177],"measures.":[33],"This":[34],"paves":[35],"way":[37,168],"to":[38,51,75,97,111,147],"plethora":[40],"applications,":[42],"ranging":[43],"specialized":[45],"frameworks,":[46],"such":[47,55],"as":[48,56],"medical":[49],"imaging,":[50],"more":[52],"general":[53],"purposes,":[54],"data":[57,109],"compression.":[58],"Among":[59],"these,":[60],"Structural":[61],"Health":[62],"Monitoring":[63],"(SHM)":[64],"primary":[67],"current":[69],"topic,":[70],"focused":[71],"on":[72],"analyzing":[73],"structures":[74],"determine":[76],"their":[77,81],"residual":[78],"lifespan":[79],"health":[82],"conditions":[83],"(material":[84],"degradation,":[85],"damage":[86],"localization,":[87],"disaster":[88],"prevention,":[89],"etc.),":[90],"In":[91,141],"this":[92,142],"regard,":[93],"CS":[94,146,164],"able":[96],"provide":[98],"accurate":[99],"results,":[100],"at":[101],"same":[103],"time":[104],"limiting":[105],"amount":[107],"needed":[110],"propagate":[112],"information":[113,125],"between":[114],"different":[115,152],"end-points.":[116],"Indeed,":[117],"SHM":[118],"usually":[119],"deals":[120],"with":[121],"continuous":[122],"flows":[123],"originating":[126],"heterogeneous":[128],"sensors":[129],"locations,":[131],"often":[132],"characterized":[133],"by":[134,174],"diverse":[135],"computational":[136],"power":[137],"signal":[139],"coverage.":[140],"paper":[143],"we":[144],"apply":[145],"signals":[148,173],"coming":[149],"two":[151],"structures,":[153],"i.e.,":[154],"laboratory":[156],"model":[157],"bridge.":[160],"Results":[161],"show":[162],"that":[163],"viable":[167],"reconstructing":[170],"considered":[172],"exploiting":[175],"samples":[179],"while":[180],"still":[181],"maintaining":[182],"high":[184],"degree":[185],"precision,":[187],"achieving":[188],"an":[189],"average":[190],"normalized":[191],"RMSE":[192],"0.12.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}