{"id":"https://openalex.org/W2028213564","doi":"https://doi.org/10.1109/wpnc.2010.5650492","title":"Carrier relevance study for indoor localization using GSM","display_name":"Carrier relevance study for indoor localization using GSM","publication_year":2010,"publication_date":"2010-03-01","ids":{"openalex":"https://openalex.org/W2028213564","doi":"https://doi.org/10.1109/wpnc.2010.5650492","mag":"2028213564"},"language":"en","primary_location":{"id":"doi:10.1109/wpnc.2010.5650492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wpnc.2010.5650492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 7th Workshop on Positioning, Navigation and Communication","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/A5049694402","display_name":"Iness Ahriz","orcid":"https://orcid.org/0000-0002-3618-5911"},"institutions":[{"id":"https://openalex.org/I190752583","display_name":"ParisTech","ror":"https://ror.org/05c2qg481","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583"]},{"id":"https://openalex.org/I98910050","display_name":"ESPCI Paris","ror":"https://ror.org/03zx86w41","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I98910050"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Iness Ahriz","raw_affiliation_strings":["Signal Processing and Machine Learning Laboratory, ESPCI ParisTech, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Processing and Machine Learning Laboratory, ESPCI ParisTech, Paris, France","institution_ids":["https://openalex.org/I98910050","https://openalex.org/I190752583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035886890","display_name":"Yacine Oussar","orcid":"https://orcid.org/0000-0002-0448-5733"},"institutions":[{"id":"https://openalex.org/I190752583","display_name":"ParisTech","ror":"https://ror.org/05c2qg481","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583"]},{"id":"https://openalex.org/I98910050","display_name":"ESPCI Paris","ror":"https://ror.org/03zx86w41","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I98910050"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yacine Oussar","raw_affiliation_strings":["ESPCI ParisTech, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ESPCI ParisTech, France","institution_ids":["https://openalex.org/I98910050","https://openalex.org/I190752583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029785566","display_name":"B. Denby","orcid":"https://orcid.org/0000-0003-4572-1656"},"institutions":[{"id":"https://openalex.org/I190752583","display_name":"ParisTech","ror":"https://ror.org/05c2qg481","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583"]},{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]},{"id":"https://openalex.org/I98910050","display_name":"ESPCI Paris","ror":"https://ror.org/03zx86w41","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I98910050"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Bruce Denby","raw_affiliation_strings":["Signal Processing and Machine Learning Laboratory, ESPCI ParisTech, France","Universit\u00e9 Pierre et Marie Curie, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Processing and Machine Learning Laboratory, ESPCI ParisTech, France","institution_ids":["https://openalex.org/I98910050","https://openalex.org/I190752583"]},{"raw_affiliation_string":"Universit\u00e9 Pierre et Marie Curie, Paris, France","institution_ids":["https://openalex.org/I39804081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034139703","display_name":"G\u00e9rard Dreyfus","orcid":"https://orcid.org/0000-0001-7500-4573"},"institutions":[{"id":"https://openalex.org/I190752583","display_name":"ParisTech","ror":"https://ror.org/05c2qg481","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583"]},{"id":"https://openalex.org/I98910050","display_name":"ESPCI Paris","ror":"https://ror.org/03zx86w41","country_code":"FR","type":"education","lineage":["https://openalex.org/I190752583","https://openalex.org/I2746051580","https://openalex.org/I98910050"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gerard Dreyfus","raw_affiliation_strings":["Signal Processing and Machine Learning Laboratory, ESPCI ParisTech, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal Processing and Machine Learning Laboratory, ESPCI ParisTech, France","institution_ids":["https://openalex.org/I98910050","https://openalex.org/I190752583"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5885,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71512239,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/T10860","display_name":"Speech and Audio Processing","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10936","display_name":"Millimeter-Wave Propagation and Modeling","score":0.9786999821662903,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gsm","display_name":"GSM","score":0.8394629955291748},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7853373289108276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.652305006980896},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6508442163467407},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5716232061386108},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5229902267456055},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43205496668815613},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.4319094121456146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4289100170135498},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36546024680137634},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1535128653049469}],"concepts":[{"id":"https://openalex.org/C59201141","wikidata":"https://www.wikidata.org/wiki/Q46904","display_name":"GSM","level":2,"score":0.8394629955291748},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7853373289108276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.652305006980896},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6508442163467407},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5716232061386108},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5229902267456055},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43205496668815613},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4319094121456146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4289100170135498},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36546024680137634},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1535128653049469},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wpnc.2010.5650492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wpnc.2010.5650492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 7th Workshop on Positioning, Navigation and Communication","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1563088657","https://openalex.org/W1996660370","https://openalex.org/W1997399503","https://openalex.org/W2029485670","https://openalex.org/W2097703704","https://openalex.org/W2102380305","https://openalex.org/W2132110947","https://openalex.org/W2139212933","https://openalex.org/W2143426320","https://openalex.org/W2170339786","https://openalex.org/W2947943690","https://openalex.org/W6679757095","https://openalex.org/W7038111631"],"related_works":["https://openalex.org/W1823457431","https://openalex.org/W2553656238","https://openalex.org/W2090763504","https://openalex.org/W4238732447","https://openalex.org/W2085384747","https://openalex.org/W2155503889","https://openalex.org/W2088166309","https://openalex.org/W1891216533","https://openalex.org/W2106071040","https://openalex.org/W148178222"],"abstract_inverted_index":{"A":[0,15],"study":[1],"is":[2],"made":[3],"of":[4,6,23,30,33,82,102],"subsets":[5],"relevant":[7,83,94],"GSM":[8,26],"carriers":[9,27,95],"for":[10],"an":[11,105],"indoor":[12],"localization":[13],"problem.":[14],"database":[16],"was":[17,63],"created":[18],"containing":[19],"power":[20],"measurement":[21],"scans":[22,103],"all":[24],"available":[25],"in":[28,38,104],"5":[29],"8":[31],"rooms":[32,51],"a":[34,43,80],"second":[35],"storey":[36],"laboratory":[37],"central":[39],"Paris,":[40],"France,":[41],"and":[42,79],"statistical":[44],"learning":[45],"algorithm":[46],"developed":[47],"to":[48,98],"discriminate":[49],"between":[50],"based":[52],"on":[53],"these":[54],"carrier":[55,61],"strengths.":[56],"To":[57],"optimize":[58],"the":[59,91],"system,":[60],"relevance":[62],"ranked":[64],"using":[65],"either":[66],"Orthogonal":[67],"Forward":[68],"Regression":[69],"or":[70],"Support":[71],"Vector":[72],"Machine":[73],"-":[74],"Recursive":[75],"Feature":[76],"Elimination":[77],"procedures,":[78],"subset":[81],"variables":[84],"obtained":[85],"with":[86],"cross-validation.":[87],"Results":[88],"show":[89],"that":[90],"60":[92],"most":[93],"are":[96],"sufficient":[97],"correctly":[99],"localize":[100],"97%":[101],"independent":[106],"test":[107],"set.":[108]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
