{"id":"https://openalex.org/W2953326504","doi":"https://doi.org/10.1145/3307334.3328624","title":"Basic Study of BLE Indoor Localization using LSTM-based Neural Network (poster)","display_name":"Basic Study of BLE Indoor Localization using LSTM-based Neural Network (poster)","publication_year":2019,"publication_date":"2019-06-12","ids":{"openalex":"https://openalex.org/W2953326504","doi":"https://doi.org/10.1145/3307334.3328624","mag":"2953326504"},"language":"en","primary_location":{"id":"doi:10.1145/3307334.3328624","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3307334.3328624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services","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/A5044005499","display_name":"Kenta Urano","orcid":"https://orcid.org/0000-0003-2906-537X"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kenta Urano","raw_affiliation_strings":["Nagoya University, Nagoya, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya University, Nagoya, Aichi, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006030146","display_name":"Kei Hiroi","orcid":"https://orcid.org/0000-0002-6818-0701"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kei Hiroi","raw_affiliation_strings":["Nagoya University, Nagoya, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya University, Nagoya, Aichi, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083114149","display_name":"Takuro Yonezawa","orcid":"https://orcid.org/0000-0001-9781-0402"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takuro Yonezawa","raw_affiliation_strings":["Nagoya University, Nagoya, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya University, Nagoya, Aichi, Japan","institution_ids":["https://openalex.org/I60134161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045353484","display_name":"Nobuo Kawaguchi","orcid":"https://orcid.org/0000-0002-0444-2290"},"institutions":[{"id":"https://openalex.org/I60134161","display_name":"Nagoya University","ror":"https://ror.org/04chrp450","country_code":"JP","type":"education","lineage":["https://openalex.org/I60134161"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Nobuo Kawaguchi","raw_affiliation_strings":["Nagoya University, Nagoya, Aichi, Japan"],"affiliations":[{"raw_affiliation_string":"Nagoya University, Nagoya, Aichi, Japan","institution_ids":["https://openalex.org/I60134161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5044005499"],"corresponding_institution_ids":["https://openalex.org/I60134161"],"apc_list":null,"apc_paid":null,"fwci":0.3577,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.60148683,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"558","last_page":"559"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":1.0,"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":1.0,"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":0.9969000220298767,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/trilateration","display_name":"Trilateration","score":0.9070122241973877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8094027042388916},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6081805229187012},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5822959542274475},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.566652774810791},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5200640559196472},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5129842162132263},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.49653249979019165},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.44440558552742004},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.44419461488723755},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4419858157634735},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43672478199005127},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4270825982093811},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.42620334029197693},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4184114336967468},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.40397828817367554},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16628536581993103},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12065926194190979},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08763888478279114},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.0829557478427887}],"concepts":[{"id":"https://openalex.org/C20832178","wikidata":"https://www.wikidata.org/wiki/Q1146298","display_name":"Trilateration","level":3,"score":0.9070122241973877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8094027042388916},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6081805229187012},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5822959542274475},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.566652774810791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5200640559196472},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5129842162132263},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.49653249979019165},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.44440558552742004},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.44419461488723755},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4419858157634735},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43672478199005127},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4270825982093811},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.42620334029197693},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4184114336967468},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.40397828817367554},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16628536581993103},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12065926194190979},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08763888478279114},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0829557478427887},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3307334.3328624","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3307334.3328624","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8209073553","display_name":null,"funder_award_id":"JP17H017612","funder_id":"https://openalex.org/F4320320212","funder_display_name":"Japan Society for the Promotion of Science London"}],"funders":[{"id":"https://openalex.org/F4320320212","display_name":"Japan Society for the Promotion of Science London","ror":"https://ror.org/02m7axw05"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W2735031100"],"related_works":["https://openalex.org/W1707434239","https://openalex.org/W3130929031","https://openalex.org/W2248192341","https://openalex.org/W2790716548","https://openalex.org/W2085095272","https://openalex.org/W2337616151","https://openalex.org/W2761350175","https://openalex.org/W2091347175","https://openalex.org/W2218990805","https://openalex.org/W3213338949"],"abstract_inverted_index":{"In":[0,102],"this":[1],"paper,":[2],"LSTM-based":[3],"neural":[4,70],"network":[5,71,88],"is":[6,25,109],"applied":[7],"to":[8,66,111],"indoor":[9,31],"localization":[10,32],"using":[11],"mobile":[12],"BLE":[13],"tag's":[14],"signal":[15,23,62,93],"strength":[16,24,94],"collected":[17],"by":[18],"multiple":[19],"scanners.":[20],"Stability":[21],"of":[22,29,73,92,107,125,133],"a":[26,117,134],"critical":[27],"factor":[28],"wireless":[30,61],"for":[33,77,83,130],"higher":[34],"accuracy.":[35],"While":[36],"traditional":[37],"methods":[38,52],"like":[39],"trilateration":[40],"and":[41,46,80,97],"fingerprinting":[42],"suffer":[43],"from":[44],"noise":[45,78],"packet":[47],"loss,":[48],"deep":[49],"learning":[50],"based":[51],"perform":[53],"well.":[54],"We":[55],"focus":[56],"on":[57],"large-scale":[58,135],"exhibition":[59,136],"where":[60],"gets":[63],"unstable":[64],"due":[65],"many":[67],"people.":[68],"Proposed":[69],"consists":[72],"fully":[74],"connected":[75],"layers":[76,82,108],"removal":[79],"LSTM":[81],"time-series":[84,91],"feature":[85],"extraction.":[86],"The":[87],"takes":[89],"the":[90,99,103,105,113,119,123,131],"as":[95],"input":[96],"outputs":[98],"estimated":[100],"location.":[101],"evaluation,":[104],"number":[106],"changed":[110],"find":[112],"optimal":[114],"structure.":[115],"As":[116],"result,":[118],"best":[120],"configuration":[121],"achieved":[122],"error":[124],"2.44m":[126],"at":[127],"75":[128],"percentile":[129],"data":[132],"in":[137],"Tokyo.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}