{"id":"https://openalex.org/W2967700493","doi":"https://doi.org/10.1109/rose.2019.8790427","title":"Navigational data imputation with GPS pinning in compositional Kalman filter for IoT systems","display_name":"Navigational data imputation with GPS pinning in compositional Kalman filter for IoT systems","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2967700493","doi":"https://doi.org/10.1109/rose.2019.8790427","mag":"2967700493"},"language":"en","primary_location":{"id":"doi:10.1109/rose.2019.8790427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rose.2019.8790427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Robotic and Sensors Environments (ROSE)","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/A5102986898","display_name":"Yuri Boiko","orcid":"https://orcid.org/0000-0002-9041-4279"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Yuri Boiko","raw_affiliation_strings":["School of Information Technology and Engineering, The University of Ottawa, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"School of Information Technology and Engineering, The University of Ottawa, Ottawa, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061121226","display_name":"Ci Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ci Lin","raw_affiliation_strings":["School of Information Technology and Engineering, The University of Ottawa, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"School of Information Technology and Engineering, The University of Ottawa, Ottawa, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023759900","display_name":"Iluju Kiringa","orcid":"https://orcid.org/0000-0002-9119-9451"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Iluju Kiringa","raw_affiliation_strings":["School of Information Technology and Engineering, The University of Ottawa, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"School of Information Technology and Engineering, The University of Ottawa, Ottawa, Canada","institution_ids":["https://openalex.org/I153718931"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061584441","display_name":"Tet Yeap","orcid":"https://orcid.org/0000-0002-6039-6751"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Tet Yeap","raw_affiliation_strings":["School of Information Technology and Engineering, The University of Ottawa, Ottawa, Canada"],"affiliations":[{"raw_affiliation_string":"School of Information Technology and Engineering, The University of Ottawa, Ottawa, Canada","institution_ids":["https://openalex.org/I153718931"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102986898"],"corresponding_institution_ids":["https://openalex.org/I153718931"],"apc_list":null,"apc_paid":null,"fwci":0.1663,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47406442,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"45","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14420","display_name":"Advanced Research in Systems and Signal Processing","score":0.9757999777793884,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T14420","display_name":"Advanced Research in Systems and Signal Processing","score":0.9757999777793884,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13181","display_name":"Economic and Technological Systems Analysis","score":0.972100019454956,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14470","display_name":"Advanced Data Processing Techniques","score":0.9685999751091003,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/kalman-filter","display_name":"Kalman filter","score":0.8541970252990723},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.743437647819519},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5785263180732727},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.5594602227210999},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.5240062475204468},{"id":"https://openalex.org/keywords/data-stream-mining","display_name":"Data stream mining","score":0.4997439384460449},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49244722723960876},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.4911184012889862},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4434855580329895},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.43461713194847107},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.415742963552475},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.22771629691123962},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2230623960494995},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.16655808687210083},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1460651159286499}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8541970252990723},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.743437647819519},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5785263180732727},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5594602227210999},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.5240062475204468},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.4997439384460449},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49244722723960876},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.4911184012889862},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4434855580329895},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.43461713194847107},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.415742963552475},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.22771629691123962},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2230623960494995},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.16655808687210083},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1460651159286499},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rose.2019.8790427","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rose.2019.8790427","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Robotic and Sensors Environments (ROSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2049351915","https://openalex.org/W2105934661","https://openalex.org/W2115098571","https://openalex.org/W2140971281","https://openalex.org/W2255937148","https://openalex.org/W2498823163","https://openalex.org/W2528581067","https://openalex.org/W4292963524","https://openalex.org/W4297796805","https://openalex.org/W4298826872"],"related_works":["https://openalex.org/W2089114113","https://openalex.org/W2389555968","https://openalex.org/W2352634297","https://openalex.org/W2320550378","https://openalex.org/W2020144404","https://openalex.org/W4211215373","https://openalex.org/W2084395052","https://openalex.org/W2792375448","https://openalex.org/W3024941504","https://openalex.org/W2898899725"],"abstract_inverted_index":{"Herewith":[0],"the":[1,15,22,33,50,62,70,79,89,113,116,126],"efficiency":[2,114],"of":[3,6,14,24,32,52,61,78,81,88,115,120,128],"various":[4],"configurations":[5],"employing":[7],"Kalman":[8,40,64,72,122],"filter":[9,41,123],"algorithm":[10],"for":[11,36,125],"on-the-fly":[12],"pre-processing":[13,37,87,130],"sensory":[16],"network":[17],"originated":[18],"data":[19,34,82,95,98,101,129],"streams":[20,35,83],"in":[21,131],"Internet":[23],"Things":[25],"(IoT)":[26],"systems":[27],"is":[28,43,57,112],"investigated.":[29],"Contextual":[30],"grouping":[31],"by":[38],"specialized":[39],"units":[42],"found":[44],"to":[45,48,75,84],"be":[46],"able":[47],"satisfy":[49],"logistics":[51],"IoT":[53,86,132],"system":[54],"operations.":[55],"It":[56],"demonstrated":[58],"that":[59],"interconnection":[60],"elementary":[63,121],"filters":[65],"into":[66],"an":[67],"organized":[68],"network,":[69],"compositional":[71,118],"filter,":[73],"allows":[74],"take":[76],"advantage":[77],"redundancy":[80],"accomplish":[85],"raw":[90],"data.":[91],"This":[92],"includes":[93],"intermittent":[94],"imputation,":[96],"missing":[97],"replacement,":[99],"lost":[100],"recovery,":[102],"as":[103,105],"well":[104],"error":[106],"events":[107],"detection":[108],"and":[109],"correction.":[110],"Demonstrated":[111],"suggested":[117],"designs":[119],"networks":[124],"purpose":[127],"systems.":[133]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}