{"id":"https://openalex.org/W3011050248","doi":"https://doi.org/10.1109/gcwkshps45667.2019.9024422","title":"Sensor Signatures: AI Assisted Co-Location Detection of IoT Devices","display_name":"Sensor Signatures: AI Assisted Co-Location Detection of IoT Devices","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3011050248","doi":"https://doi.org/10.1109/gcwkshps45667.2019.9024422","mag":"3011050248"},"language":"en","primary_location":{"id":"doi:10.1109/gcwkshps45667.2019.9024422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps45667.2019.9024422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Globecom Workshops (GC Wkshps)","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/A5027694223","display_name":"Daniel Mako","orcid":null},"institutions":[{"id":"https://openalex.org/I29770179","display_name":"Budapest University of Technology and Economics","ror":"https://ror.org/02w42ss30","country_code":"HU","type":"education","lineage":["https://openalex.org/I29770179"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Daniel Mako","raw_affiliation_strings":["Budapest University of Technology and Economics, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Budapest University of Technology and Economics, Budapest, Hungary","institution_ids":["https://openalex.org/I29770179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031234723","display_name":"P\u00e9ter H\u00e1ga","orcid":"https://orcid.org/0000-0002-1952-343X"},"institutions":[{"id":"https://openalex.org/I4210131589","display_name":"Ericsson (Hungary)","ror":"https://ror.org/03c0yyz21","country_code":"HU","type":"company","lineage":["https://openalex.org/I1306339040","https://openalex.org/I4210131589"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Peter Haga","raw_affiliation_strings":["Ericsson Research, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Ericsson Research, Budapest, Hungary","institution_ids":["https://openalex.org/I4210131589"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001797133","display_name":"Zsolt Kenesi","orcid":"https://orcid.org/0000-0002-0617-2992"},"institutions":[{"id":"https://openalex.org/I4210131589","display_name":"Ericsson (Hungary)","ror":"https://ror.org/03c0yyz21","country_code":"HU","type":"company","lineage":["https://openalex.org/I1306339040","https://openalex.org/I4210131589"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Zsolt Kenesi","raw_affiliation_strings":["Ericsson Research, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Ericsson Research, Budapest, Hungary","institution_ids":["https://openalex.org/I4210131589"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060028589","display_name":"Mate Szebenyei","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131589","display_name":"Ericsson (Hungary)","ror":"https://ror.org/03c0yyz21","country_code":"HU","type":"company","lineage":["https://openalex.org/I1306339040","https://openalex.org/I4210131589"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Mate Szebenyei","raw_affiliation_strings":["Ericsson Research, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Ericsson Research, Budapest, Hungary","institution_ids":["https://openalex.org/I4210131589"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017036718","display_name":"Andr\u00e1s Veres","orcid":"https://orcid.org/0000-0003-0518-7452"},"institutions":[{"id":"https://openalex.org/I4210131589","display_name":"Ericsson (Hungary)","ror":"https://ror.org/03c0yyz21","country_code":"HU","type":"company","lineage":["https://openalex.org/I1306339040","https://openalex.org/I4210131589"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Andras Veres","raw_affiliation_strings":["Ericsson Research, Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Ericsson Research, Budapest, Hungary","institution_ids":["https://openalex.org/I4210131589"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5027694223"],"corresponding_institution_ids":["https://openalex.org/I29770179"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17499491,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9994000196456909,"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":0.9994000196456909,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9782999753952026,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pallet","display_name":"Pallet","score":0.8642889857292175},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7291387319564819},{"id":"https://openalex.org/keywords/order-picking","display_name":"Order picking","score":0.5925993323326111},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.5645444393157959},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.533892810344696},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.45903468132019043},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.4547339081764221},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.44772061705589294},{"id":"https://openalex.org/keywords/location-awareness","display_name":"Location awareness","score":0.4377230405807495},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.42263728380203247},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3661308288574219},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17051848769187927},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.14226922392845154}],"concepts":[{"id":"https://openalex.org/C51413319","wikidata":"https://www.wikidata.org/wiki/Q505996","display_name":"Pallet","level":2,"score":0.8642889857292175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7291387319564819},{"id":"https://openalex.org/C2779454638","wikidata":"https://www.wikidata.org/wiki/Q7100700","display_name":"Order picking","level":3,"score":0.5925993323326111},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.5645444393157959},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.533892810344696},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.45903468132019043},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.4547339081764221},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.44772061705589294},{"id":"https://openalex.org/C2776104089","wikidata":"https://www.wikidata.org/wiki/Q15894079","display_name":"Location awareness","level":2,"score":0.4377230405807495},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.42263728380203247},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3661308288574219},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17051848769187927},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.14226922392845154},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C50416739","wikidata":"https://www.wikidata.org/wiki/Q181623","display_name":"Warehouse","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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gcwkshps45667.2019.9024422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gcwkshps45667.2019.9024422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Globecom Workshops (GC Wkshps)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2017814585","https://openalex.org/W2102593897","https://openalex.org/W2103869314","https://openalex.org/W2104422351","https://openalex.org/W2127589108","https://openalex.org/W2157364932","https://openalex.org/W2162762921","https://openalex.org/W2419008539","https://openalex.org/W4255955830"],"related_works":["https://openalex.org/W2893234431","https://openalex.org/W2473569289","https://openalex.org/W3144972696","https://openalex.org/W2919840195","https://openalex.org/W2525123535","https://openalex.org/W3150106852","https://openalex.org/W2477323368","https://openalex.org/W1537606652","https://openalex.org/W2783250214","https://openalex.org/W1972357958"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,6,33],"system":[4,26,68,93],"utilizing":[5],"variety":[7],"of":[8,22,35],"simple,":[9],"cheap":[10],"sensors":[11],"in":[12],"order":[13],"to":[14,31,52,85],"determine":[15],"the":[16,54,75,88],"co-":[17,71],"location":[18,72],"or":[19,58],"relative":[20],"position":[21],"IoT":[23],"devices.":[24],"The":[25,91],"relies":[27],"on":[28,44],"machine":[29],"learning":[30],"evaluate":[32],"set":[34],"co-location":[36],"clues":[37],"-":[38],"so":[39],"called":[40],"signatures":[41,46,82],"and":[42,80],"based":[43],"those":[45],"determines":[47],"whether":[48],"devices":[49],"are":[50,78,83],"likely":[51],"share":[53],"same":[55],"pallet,":[56],"vehicle":[57],"storage":[59],"room.":[60],"We":[61],"present":[62],"real-life":[63],"experiments":[64],"showing":[65],"that":[66],"our":[67],"can":[69],"detect":[70,86],"even":[73],"if":[74],"sensory":[76],"data":[77],"noisy":[79],"common":[81],"hard":[84],"for":[87,96],"human":[89],"eye.":[90],"presented":[92],"is":[94],"aimed":[95],"industrial":[97],"applications":[98],"primarily,":[99],"such":[100],"as":[101],"logistics.":[102]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
