{"id":"https://openalex.org/W2783688216","doi":"https://doi.org/10.1109/glocom.2017.8253940","title":"WiLAD: Wireless Localisation through Anomaly Detection","display_name":"WiLAD: Wireless Localisation through Anomaly Detection","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2783688216","doi":"https://doi.org/10.1109/glocom.2017.8253940","mag":"2783688216"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2017.8253940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2017.8253940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2017 - 2017 IEEE Global Communications Conference","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1801.05938","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088663438","display_name":"Cam Ly Nguyen","orcid":"https://orcid.org/0000-0002-6823-4386"},"institutions":[{"id":"https://openalex.org/I1292669757","display_name":"Toshiba (Japan)","ror":"https://ror.org/0326v3z14","country_code":"JP","type":"company","lineage":["https://openalex.org/I1292669757"]},{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Cam Ly Nguyen","raw_affiliation_strings":["Network System Laboratory, Toshiba Corporation","The University of Tokyo","Toshiba (Japan), Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Network System Laboratory, Toshiba Corporation","institution_ids":["https://openalex.org/I1292669757"]},{"raw_affiliation_string":"The University of Tokyo","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Toshiba (Japan), Tokyo, Japan","institution_ids":["https://openalex.org/I1292669757"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009611028","display_name":"Aftab Khan","orcid":"https://orcid.org/0000-0002-3573-6240"},"institutions":[{"id":"https://openalex.org/I1292669757","display_name":"Toshiba (Japan)","ror":"https://ror.org/0326v3z14","country_code":"JP","type":"company","lineage":["https://openalex.org/I1292669757"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Aftab Khan","raw_affiliation_strings":["Toshiba Telecommunications Research Laboratory","Toshiba (Japan), Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Toshiba Telecommunications Research Laboratory","institution_ids":["https://openalex.org/I1292669757"]},{"raw_affiliation_string":"Toshiba (Japan), Tokyo, Japan","institution_ids":["https://openalex.org/I1292669757"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088663438"],"corresponding_institution_ids":["https://openalex.org/I1292669757","https://openalex.org/I74801974"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.19009477,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9975000023841858,"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":0.9975000023841858,"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/T11220","display_name":"Water Systems and Optimization","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.949400007724762,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/rss","display_name":"RSS","score":0.7976024150848389},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7888082265853882},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.69778972864151},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.6508955955505371},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6059609651565552},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5636563897132874},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5472214221954346},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5321473479270935},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5153257250785828},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4749367833137512},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.45906761288642883},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4439547061920166},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4417094588279724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42469972372055054},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.42310768365859985},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4217774271965027},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1997600793838501},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08777135610580444}],"concepts":[{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.7976024150848389},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7888082265853882},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.69778972864151},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.6508955955505371},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6059609651565552},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5636563897132874},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5472214221954346},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5321473479270935},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5153257250785828},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4749367833137512},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.45906761288642883},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4439547061920166},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4417094588279724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42469972372055054},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.42310768365859985},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4217774271965027},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1997600793838501},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08777135610580444},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/glocom.2017.8253940","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2017.8253940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"GLOBECOM 2017 - 2017 IEEE Global Communications Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1801.05938","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1801.05938","pdf_url":"https://arxiv.org/pdf/1801.05938","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2783688216","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1801.05938","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1801.05938","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1801.05938","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1801.05938","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1801.05938","pdf_url":"https://arxiv.org/pdf/1801.05938","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2783688216.pdf","grobid_xml":"https://content.openalex.org/works/W2783688216.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1582561767","https://openalex.org/W1593120400","https://openalex.org/W1989651117","https://openalex.org/W2100989187","https://openalex.org/W2132870739","https://openalex.org/W2135194904","https://openalex.org/W2140050521","https://openalex.org/W2142047467","https://openalex.org/W2142870898","https://openalex.org/W2166315077","https://openalex.org/W2407477828","https://openalex.org/W2534482937","https://openalex.org/W6704422088","https://openalex.org/W6735234994"],"related_works":["https://openalex.org/W2963211309","https://openalex.org/W2586239898","https://openalex.org/W2041372500","https://openalex.org/W3039820624","https://openalex.org/W1999855152","https://openalex.org/W2109187811","https://openalex.org/W2800757479","https://openalex.org/W2279741077","https://openalex.org/W2970873551","https://openalex.org/W3153755510","https://openalex.org/W3209738691","https://openalex.org/W2781299994","https://openalex.org/W2977502030","https://openalex.org/W2981938025","https://openalex.org/W3017271217","https://openalex.org/W164424387","https://openalex.org/W3035392919","https://openalex.org/W219414570","https://openalex.org/W2604274210","https://openalex.org/W1631323134"],"abstract_inverted_index":{"We":[0,110,171,219],"propose":[1,194],"a":[2,34,43,61,73,84,99,105,112,148,173,195],"new":[3],"approach":[4],"towards":[5],"RSS":[6,121],"(Received":[7],"Signal":[8],"Strength)":[9],"based":[10,122,225],"wireless":[11,65,183],"localisation":[12,123],"for":[13,169],"scenarios":[14],"where,":[15],"instead":[16],"of":[17,20,33,45,72,89,104,142,161,176,182,203],"absolute":[18],"positioning":[19],"an":[21,27,56],"object,":[22],"only":[23,158],"the":[24,140,180,210],"information":[25],"whether":[26,55],"object":[28,57],"is":[29,37,40,58],"inside":[30],"or":[31,107,165,217],"outside":[32,71],"specific":[35],"area":[36],"required.":[38],"This":[39,205],"motivated":[41],"through":[42],"number":[44],"applications":[46],"including,":[47],"but":[48],"not":[49],"limited":[50],"to,":[51],"a)":[52],"security:":[53],"detecting":[54,68,81],"removed":[59],"from":[60],"secure":[62],"location,":[63],"b)":[64],"sensor":[66,69],"networks:":[67],"movements":[70],"network":[74],"area,":[75],"and":[76,129,228],"c)":[77],"computational":[78],"behaviour":[79],"analytics:":[80],"customers":[82],"leaving":[83],"retail":[85],"store.":[86],"The":[87],"result":[88],"such":[90],"detection":[91,149],"systems":[92,124],"can":[93],"naturally":[94],"be":[95],"utilised":[96],"in":[97,134],"building":[98],"higher":[100],"level":[101],"contextual":[102],"understanding":[103],"system":[106],"user":[108],"behaviours.":[109],"use":[111],"supervised":[113],"learning":[114],"method":[115,150],"to":[116,120,138,199,208],"overcome":[117],"issues":[118],"related":[119],"including":[125],"multipath":[126],"fading,":[127],"shadowing,":[128],"incorrect":[130],"model":[131],"parameters":[132],"(as":[133],"unsupervised":[135],"methods).":[136],"Moreover,":[137],"reduce":[139],"cost":[141],"collecting":[143],"training":[144],"data,":[145,164],"we":[146,192],"employ":[147],"called":[151],"One-":[152],"Class":[153],"SVM":[154],"(OC-SVM)":[155],"which":[156,178],"requires":[157],"one":[159],"class":[160,167],"data":[162],"(positive":[163],"target":[166],"data)":[168],"training.":[170],"derive":[172],"mathematical":[174,197,223],"approximation":[175],"accuracy":[177],"utilises":[179],"characteristics":[181],"signals":[184],"as":[185,187],"well":[186],"OC-SVM.":[188],"Based":[189],"on":[190,226],"this":[191],"then":[193],"novel":[196],"formula":[198],"find":[200],"optimal":[201],"placement":[202,211],"devices.":[204],"enables":[206],"us":[207],"optimize":[209],"without":[212],"performing":[213],"any":[214],"costly":[215],"experiments":[216],"simulations.":[218],"validate":[220],"our":[221],"proposed":[222],"framework":[224],"simulated":[227],"real":[229],"experiments.":[230]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
