{"id":"https://openalex.org/W2820050342","doi":"https://doi.org/10.1109/i2mtc.2018.8409583","title":"UAV sensor data anomaly detection using predictor with uncertainty estimation and its acceleration on FPGA","display_name":"UAV sensor data anomaly detection using predictor with uncertainty estimation and its acceleration on FPGA","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2820050342","doi":"https://doi.org/10.1109/i2mtc.2018.8409583","mag":"2820050342"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc.2018.8409583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2018.8409583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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/A5010356589","display_name":"Datong Liu","orcid":"https://orcid.org/0000-0001-9967-5427"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Datong Liu","raw_affiliation_strings":["Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073305279","display_name":"Zeyang Wang","orcid":"https://orcid.org/0000-0001-8474-5437"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyang Wang","raw_affiliation_strings":["Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100702012","display_name":"Shaojun Wang","orcid":"https://orcid.org/0000-0002-3680-9464"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaojun Wang","raw_affiliation_strings":["Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033380212","display_name":"Yeyong Pang","orcid":"https://orcid.org/0000-0002-7250-8773"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yeyong Pang","raw_affiliation_strings":["Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054381440","display_name":"Liansheng Liu","orcid":"https://orcid.org/0000-0001-5834-9772"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liansheng Liu","raw_affiliation_strings":["Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Department of Automatic Test and Control, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5010356589"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.6515,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.76426299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9977999925613403,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9865000247955322,"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/anomaly-detection","display_name":"Anomaly detection","score":0.901965856552124},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6668905019760132},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.6505639553070068},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.6496750116348267},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6486393809318542},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.5774292945861816},{"id":"https://openalex.org/keywords/prognostics","display_name":"Prognostics","score":0.5454150438308716},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47697266936302185},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.4159466028213501},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.387019544839859},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2883146405220032},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.14444804191589355}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.901965856552124},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6668905019760132},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.6505639553070068},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.6496750116348267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6486393809318542},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.5774292945861816},{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.5454150438308716},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47697266936302185},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.4159466028213501},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.387019544839859},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2883146405220032},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.14444804191589355},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc.2018.8409583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2018.8409583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.49000000953674316,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W416512314","https://openalex.org/W900314929","https://openalex.org/W1977368497","https://openalex.org/W2019995279","https://openalex.org/W2026625738","https://openalex.org/W2041364355","https://openalex.org/W2048604676","https://openalex.org/W2056425547","https://openalex.org/W2128620931","https://openalex.org/W2148004019","https://openalex.org/W2162400948","https://openalex.org/W2365352874","https://openalex.org/W2497779753","https://openalex.org/W2524048463","https://openalex.org/W2531036915","https://openalex.org/W2729150869","https://openalex.org/W2758462749","https://openalex.org/W3216647352","https://openalex.org/W6636766692"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"Anomaly":[0],"detection":[1,22,58,83,115,126],"is":[2,16,32,86,102,138],"a":[3,17,33,54,70],"common":[4],"requirement":[5],"in":[6],"automatic":[7],"data":[8,113],"analysis,":[9],"condition":[10],"monitoring,":[11],"diagnostics":[12],"and":[13,75,128,132,135],"prognostics.":[14],"Prediction":[15],"type":[18],"of":[19,29,41,93],"data-driven":[20],"anomaly":[21,57,74,77,114,125],"method.":[23],"However,":[24],"to":[25],"quantify":[26],"the":[27,30,38,89,109,136],"uncertainty":[28,66],"predictor":[31],"challenging":[34],"issue":[35],"for":[36],"determining":[37],"anomalous":[39],"state":[40],"current":[42],"observed":[43],"sample":[44],"or":[45],"sequence.":[46],"To":[47],"address":[48],"this":[49,51,105],"issue,":[50],"work":[52,106],"presents":[53],"prediction":[55],"based":[56,98,112],"method":[59],"with":[60,81,141],"support":[61],"vector":[62,99],"machine":[63],"(SVM)":[64],"predicting":[65],"optimal":[67],"estimation.":[68],"As":[69],"result,":[71],"both":[72],"point":[73],"fragment":[76],"can":[78,107],"be":[79],"detected":[80],"high":[82,90],"performance.":[84],"What":[85],"more,":[87],"considering":[88],"real-time":[91],"demands":[92],"actual":[94],"industrial":[95],"applications,":[96],"FPGA":[97],"processor":[100],"acceleration":[101],"implemented.":[103],"Thus,":[104],"meet":[108],"embedded":[110],"system":[111],"requirements,":[116],"i.e.,":[117],"unmanned":[118],"aerial":[119],"vehicle.":[120],"Experimental":[121],"results":[122],"illustrate":[123],"that":[124],"FPR":[127],"FNR":[129],"are":[130],"5.88%":[131],"2.20%,":[133],"respectively,":[134],"speedup":[137],"2.6":[139],"compared":[140],"PC,":[142],"which":[143],"indicates":[144],"good":[145],"application":[146],"prospects.":[147]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
