{"id":"https://openalex.org/W2146170107","doi":"https://doi.org/10.1109/icassp.2012.6288217","title":"Maximum a posteriori approach for anonymous RFID tag cardinality estimation","display_name":"Maximum a posteriori approach for anonymous RFID tag cardinality estimation","publication_year":2012,"publication_date":"2012-03-01","ids":{"openalex":"https://openalex.org/W2146170107","doi":"https://doi.org/10.1109/icassp.2012.6288217","mag":"2146170107"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2012.6288217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6288217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5026603079","display_name":"Chuyen T. Nguyen","orcid":"https://orcid.org/0000-0001-7264-1024"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I39012071","display_name":"Kyoto College of Graduate Studies for Informatics","ror":"https://ror.org/05mzj8a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I39012071"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Chuyen T. Nguyen","raw_affiliation_strings":["Graduate School of Informatics, Kyoto University, Kyoto, Japan","Graduate School of Informatics, Kyoto University Yoshida-honmachi, Sakyo-ku, 606-8501, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I39012071","https://openalex.org/I22299242"]},{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University Yoshida-honmachi, Sakyo-ku, 606-8501, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081667035","display_name":"Kazunori Hayashi","orcid":"https://orcid.org/0000-0002-3737-5135"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I39012071","display_name":"Kyoto College of Graduate Studies for Informatics","ror":"https://ror.org/05mzj8a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I39012071"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazunori Hayashi","raw_affiliation_strings":["Graduate School of Informatics, Kyoto University, Kyoto, Japan","Graduate School of Informatics, Kyoto University Yoshida-honmachi, Sakyo-ku, 606-8501, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I39012071","https://openalex.org/I22299242"]},{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University Yoshida-honmachi, Sakyo-ku, 606-8501, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034520384","display_name":"Megumi Kaneko","orcid":"https://orcid.org/0000-0003-4943-4769"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I39012071","display_name":"Kyoto College of Graduate Studies for Informatics","ror":"https://ror.org/05mzj8a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I39012071"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Megumi Kaneko","raw_affiliation_strings":["Graduate School of Informatics, Kyoto University, Kyoto, Japan","Graduate School of Informatics, Kyoto University Yoshida-honmachi, Sakyo-ku, 606-8501, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I39012071","https://openalex.org/I22299242"]},{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University Yoshida-honmachi, Sakyo-ku, 606-8501, Japan","institution_ids":["https://openalex.org/I22299242"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005166227","display_name":"Hideaki Sakai","orcid":"https://orcid.org/0000-0001-9839-1377"},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]},{"id":"https://openalex.org/I39012071","display_name":"Kyoto College of Graduate Studies for Informatics","ror":"https://ror.org/05mzj8a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I39012071"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hideaki Sakai","raw_affiliation_strings":["Graduate School of Informatics, Kyoto University, Kyoto, Japan","Graduate School of Informatics, Kyoto University Yoshida-honmachi, Sakyo-ku, 606-8501, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University, Kyoto, Japan","institution_ids":["https://openalex.org/I39012071","https://openalex.org/I22299242"]},{"raw_affiliation_string":"Graduate School of Informatics, Kyoto University Yoshida-honmachi, Sakyo-ku, 606-8501, Japan","institution_ids":["https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"57","issue":null,"first_page":"1669","last_page":"1672"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10986","display_name":"RFID technology advancements","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10986","display_name":"RFID technology advancements","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9944000244140625,"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9865999817848206,"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/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.8681228160858154},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.8024164438247681},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6529451608657837},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.6320484280586243},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6236152648925781},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6066882610321045},{"id":"https://openalex.org/keywords/radio-frequency-identification","display_name":"Radio-frequency identification","score":0.5926187038421631},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5450705289840698},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5055561065673828},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4054124355316162},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3060609996318817},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2756953537464142},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2525206506252289},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08727326989173889},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08061885833740234}],"concepts":[{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.8681228160858154},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.8024164438247681},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6529451608657837},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.6320484280586243},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6236152648925781},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6066882610321045},{"id":"https://openalex.org/C204222849","wikidata":"https://www.wikidata.org/wiki/Q104954","display_name":"Radio-frequency identification","level":2,"score":0.5926187038421631},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5450705289840698},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5055561065673828},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4054124355316162},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3060609996318817},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2756953537464142},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2525206506252289},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08727326989173889},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08061885833740234},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/icassp.2012.6288217","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2012.6288217","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W187259865","https://openalex.org/W1522573321","https://openalex.org/W1988486393","https://openalex.org/W1988969816","https://openalex.org/W2031157660","https://openalex.org/W2092439966","https://openalex.org/W2106986829","https://openalex.org/W2127668673","https://openalex.org/W2134011023","https://openalex.org/W2149393733","https://openalex.org/W2162317161","https://openalex.org/W4235547147","https://openalex.org/W6658202128","https://openalex.org/W6675878716"],"related_works":["https://openalex.org/W1503532423","https://openalex.org/W2150865841","https://openalex.org/W1967494390","https://openalex.org/W245717845","https://openalex.org/W2138865713","https://openalex.org/W3013496002","https://openalex.org/W2169353922","https://openalex.org/W2465363361","https://openalex.org/W2896820906","https://openalex.org/W2101542441"],"abstract_inverted_index":{"Anonymous":[0],"tag":[1],"set":[2],"cardinality":[3],"estimation":[4],"problem":[5],"of":[6,25,29,39,49,64],"Radio":[7],"Frequency":[8],"IDentification":[9],"(RFID)":[10],"using":[11],"Maximum":[12],"A":[13],"Posteriori":[14],"(MAP)":[15],"approach":[16],"is":[17,42,51],"studied":[18],"in":[19],"this":[20],"paper.":[21],"The":[22],"posterior":[23,56],"probability":[24],"the":[26,32,36,46,55,62,65],"total":[27,47],"number":[28,38,48],"tags,":[30],"given":[31],"frame":[33],"size":[34],"and":[35],"observed":[37],"non-empty":[40],"slots,":[41],"firstly":[43],"determined.":[44],"Then,":[45],"tags":[50],"estimated":[52],"to":[53],"maximize":[54],"probability.":[57],"Computer":[58],"simulation":[59],"results":[60],"demonstrate":[61],"effectiveness":[63],"proposed":[66],"approach.":[67]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}