{"id":"https://openalex.org/W2921380437","doi":"https://doi.org/10.23919/apsipa.2018.8659764","title":"Data Separation Technique using Spatial Correlation of Sensing Results for Physical Wireless Parameter Conversion Sensor Networks","display_name":"Data Separation Technique using Spatial Correlation of Sensing Results for Physical Wireless Parameter Conversion Sensor Networks","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2921380437","doi":"https://doi.org/10.23919/apsipa.2018.8659764","mag":"2921380437"},"language":"en","primary_location":{"id":"doi:10.23919/apsipa.2018.8659764","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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/A5048027472","display_name":"Naoya Amano","orcid":null},"institutions":[{"id":"https://openalex.org/I137975476","display_name":"Shinshu University","ror":"https://ror.org/0244rem06","country_code":"JP","type":"education","lineage":["https://openalex.org/I137975476"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Naoya Amano","raw_affiliation_strings":["Shinshu University, Nagano, Japan"],"affiliations":[{"raw_affiliation_string":"Shinshu University, Nagano, Japan","institution_ids":["https://openalex.org/I137975476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006789640","display_name":"Osamu Takyu","orcid":"https://orcid.org/0000-0003-3221-6714"},"institutions":[{"id":"https://openalex.org/I137975476","display_name":"Shinshu University","ror":"https://ror.org/0244rem06","country_code":"JP","type":"education","lineage":["https://openalex.org/I137975476"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Osamu Takyu","raw_affiliation_strings":["Shinshu University, Nagano, Japan"],"affiliations":[{"raw_affiliation_string":"Shinshu University, Nagano, Japan","institution_ids":["https://openalex.org/I137975476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102792149","display_name":"Keiichiro Shirai","orcid":"https://orcid.org/0000-0003-2072-5087"},"institutions":[{"id":"https://openalex.org/I137975476","display_name":"Shinshu University","ror":"https://ror.org/0244rem06","country_code":"JP","type":"education","lineage":["https://openalex.org/I137975476"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Keiichiro Shirai","raw_affiliation_strings":["Shinshu University, Nagano, Japan"],"affiliations":[{"raw_affiliation_string":"Shinshu University, Nagano, Japan","institution_ids":["https://openalex.org/I137975476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090697684","display_name":"Fumihito Sasamori","orcid":null},"institutions":[{"id":"https://openalex.org/I137975476","display_name":"Shinshu University","ror":"https://ror.org/0244rem06","country_code":"JP","type":"education","lineage":["https://openalex.org/I137975476"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Fumihito Sasamori","raw_affiliation_strings":["Shinshu University, Nagano, Japan"],"affiliations":[{"raw_affiliation_string":"Shinshu University, Nagano, Japan","institution_ids":["https://openalex.org/I137975476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113802539","display_name":"Shiro Handa","orcid":null},"institutions":[{"id":"https://openalex.org/I137975476","display_name":"Shinshu University","ror":"https://ror.org/0244rem06","country_code":"JP","type":"education","lineage":["https://openalex.org/I137975476"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shiro Handa","raw_affiliation_strings":["Shinshu University, Nagano, Japan"],"affiliations":[{"raw_affiliation_string":"Shinshu University, Nagano, Japan","institution_ids":["https://openalex.org/I137975476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5048027472"],"corresponding_institution_ids":["https://openalex.org/I137975476"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.22738077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"785","last_page":"789"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9977999925613403,"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"}},"topics":[{"id":"https://openalex.org/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9977999925613403,"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"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9866999983787537,"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/T11498","display_name":"Security in Wireless Sensor Networks","score":0.9304999709129333,"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/wireless-sensor-network","display_name":"Wireless sensor network","score":0.6941882967948914},{"id":"https://openalex.org/keywords/spatial-correlation","display_name":"Spatial correlation","score":0.6780424118041992},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.657712996006012},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6392767429351807},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5504226088523865},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.4579871892929077},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.2826250493526459},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15206435322761536},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11252617835998535},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.07105770707130432}],"concepts":[{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.6941882967948914},{"id":"https://openalex.org/C150060386","wikidata":"https://www.wikidata.org/wiki/Q7574054","display_name":"Spatial correlation","level":2,"score":0.6780424118041992},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.657712996006012},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6392767429351807},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5504226088523865},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.4579871892929077},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.2826250493526459},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15206435322761536},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11252617835998535},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.07105770707130432},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/apsipa.2018.8659764","is_oa":false,"landing_page_url":"https://doi.org/10.23919/apsipa.2018.8659764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","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":4,"referenced_works":["https://openalex.org/W367601201","https://openalex.org/W1724873906","https://openalex.org/W2766781361","https://openalex.org/W2793243091"],"related_works":["https://openalex.org/W2510217115","https://openalex.org/W2378314110","https://openalex.org/W1781058469","https://openalex.org/W2276481867","https://openalex.org/W1988032185","https://openalex.org/W1993382516","https://openalex.org/W2944727840","https://openalex.org/W2089406299","https://openalex.org/W1991222422","https://openalex.org/W2915020301"],"abstract_inverted_index":{"Wireless":[0],"sensor":[1,41,62],"networks":[2,42],"(WSN)":[3],"are":[4,19],"attracting":[5],"much":[6],"attention":[7],"for":[8,46,93,133],"using":[9],"various":[10],"applications.":[11],"As":[12],"a":[13,28,57],"result,":[14],"the":[15,53,76,98,107,110,121,127,139,142],"requirements":[16],"of":[17,27,30,79,112,141],"WSN":[18],"widely":[20],"spread,":[21],"such":[22],"as":[23],"low":[24],"latency,":[25],"affordability":[26],"lot":[29,58],"sensors,":[31],"and":[32,51,149],"super":[33],"long":[34],"life.":[35],"A":[36],"physical":[37],"wireless":[38],"parameter":[39],"conversion":[40],"(PhyC-SN)":[43],"has":[44],"ability":[45],"real":[47],"time":[48],"data":[49,84,89,95,113],"collection":[50],"accepting":[52],"simultaneous":[54],"access":[55],"from":[56,97],"sensors.":[59],"Since":[60],"each":[61,80],"does":[63],"not":[64],"send":[65],"any":[66],"ID":[67],"information":[68,77,100],"to":[69,105],"fusion":[70],"center":[71],"(FC),":[72],"FC":[73],"cannot":[74],"specify":[75],"source":[78,101],"sensing":[81,131],"result.":[82],"The":[83],"separation":[85,114],"technique":[86,124,145],"based":[87,125],"on":[88,126],"tracking":[90],"is":[91,115],"useful":[92],"separating":[94],"group":[96],"common":[99],"but":[102],"it":[103],"fails":[104],"track":[106],"data,":[108],"where":[109],"failure":[111],"error":[116,135],"tracking.":[117,136],"This":[118],"paper":[119],"proposes":[120],"novel":[122],"detection":[123,144],"special":[128],"correlation":[129],"among":[130],"results":[132],"detecting":[134],"We":[137],"confirm":[138],"accuracy":[140],"proposed":[143],"by":[146],"computer":[147],"simulation":[148],"experimental":[150],"evaluation.":[151]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}