{"id":"https://openalex.org/W4287847652","doi":"https://doi.org/10.1109/seai55746.2022.9832205","title":"Random Error Source Identification of SINS by LSTM Hubrid Convolution Network","display_name":"Random Error Source Identification of SINS by LSTM Hubrid Convolution Network","publication_year":2022,"publication_date":"2022-06-10","ids":{"openalex":"https://openalex.org/W4287847652","doi":"https://doi.org/10.1109/seai55746.2022.9832205"},"language":"en","primary_location":{"id":"doi:10.1109/seai55746.2022.9832205","doi":"https://doi.org/10.1109/seai55746.2022.9832205","is_oa":false,"landing_page_url":"https://doi.org/10.1109/seai55746.2022.9832205","pdf_url":null,"source":{"id":"https://openalex.org/S7407087167","display_name":"IEEE International Conference on Software Engineering and Artificial Intelligence (SEAI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 2nd International Conference on Software Engineering and Artificial Intelligence (SEAI)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5077437451","display_name":"Yang Qi","orcid":"https://orcid.org/0000-0003-0030-6619","observed_orcids":["https://orcid.org/0000-0003-0030-6619"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qi Yang","raw_affiliation_strings":["Qingzhou High-tech Institute,Department of Control Engineering,Qingzhou,CHN","Department of Control Engineering, Qingzhou High-tech Institute, Qingzhou, CHN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qingzhou High-tech Institute,Department of Control Engineering,Qingzhou,CHN","institution_ids":[]},{"raw_affiliation_string":"Department of Control Engineering, Qingzhou High-tech Institute, Qingzhou, CHN","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100544497","display_name":"Xiaohu Fan","orcid":"https://orcid.org/0009-0002-9472-8571","observed_orcids":["https://orcid.org/0009-0002-9472-8571"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaohu Fan","raw_affiliation_strings":["Qingzhou High-tech Institute,Department of Control Engineering,Qingzhou,CHN","Department of Control Engineering, Qingzhou High-tech Institute, Qingzhou, CHN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qingzhou High-tech Institute,Department of Control Engineering,Qingzhou,CHN","institution_ids":[]},{"raw_affiliation_string":"Department of Control Engineering, Qingzhou High-tech Institute, Qingzhou, CHN","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100382849","display_name":"Hao Xiang He","orcid":"https://orcid.org/0000-0002-2361-9602","observed_orcids":["https://orcid.org/0000-0002-2361-9602"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao He","raw_affiliation_strings":["Qingzhou High-tech Institute,Department of Control Engineering,Qingzhou,CHN","Department of Control Engineering, Qingzhou High-tech Institute, Qingzhou, CHN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qingzhou High-tech Institute,Department of Control Engineering,Qingzhou,CHN","institution_ids":[]},{"raw_affiliation_string":"Department of Control Engineering, Qingzhou High-tech Institute, Qingzhou, CHN","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385229","display_name":"Xu Qiang Huang","orcid":"https://orcid.org/0009-0008-4519-6226","observed_orcids":["https://orcid.org/0009-0008-4519-6226"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu Huang","raw_affiliation_strings":["Qingzhou High-tech Institute,Department of Control Engineering,Qingzhou,CHN","Department of Control Engineering, Qingzhou High-tech Institute, Qingzhou, CHN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qingzhou High-tech Institute,Department of Control Engineering,Qingzhou,CHN","institution_ids":[]},{"raw_affiliation_string":"Department of Control Engineering, Qingzhou High-tech Institute, Qingzhou, CHN","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Wanli Tian","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wanli Tian","raw_affiliation_strings":["Qingzhou High-tech Institute,Department of Control Engineering,Qingzhou,CHN","Department of Control Engineering, Qingzhou High-tech Institute, Qingzhou, CHN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qingzhou High-tech Institute,Department of Control Engineering,Qingzhou,CHN","institution_ids":[]},{"raw_affiliation_string":"Department of Control Engineering, Qingzhou High-tech Institute, Qingzhou, CHN","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"05"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11325","display_name":"Inertial Sensor and Navigation","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.00019999999494757503,"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/T10876","display_name":"Fault Detection and Control Systems","score":9.999999747378752e-05,"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/strapdown-inertial-navigation-system","display_name":"strapdown inertial navigation system","score":0.9110000133514404},{"id":"https://openalex.org/keywords/lstm","display_name":"LSTM","score":0.5419999957084656},{"id":"https://openalex.org/keywords/aircraft-navigation","display_name":"aircraft navigation","score":0.5820000171661377},{"id":"https://openalex.org/keywords/softmax-layer","display_name":"softmax layer","score":0.621999979019165},{"id":"https://openalex.org/keywords/deep-learning","display_name":"deep learning","score":0.6919999718666077}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.8966794013977051},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7810037732124329},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6617693901062012},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6496322154998779},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5753897428512573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5712154507637024},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5470638275146484},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5024340152740479},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.477480411529541},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4512844681739807},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.44574204087257385},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4238203763961792},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41435861587524414},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39014995098114014},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3851492702960968},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35876980423927307},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09180226922035217},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/seai55746.2022.9832205","doi":"https://doi.org/10.1109/seai55746.2022.9832205","is_oa":false,"landing_page_url":"https://doi.org/10.1109/seai55746.2022.9832205","pdf_url":null,"source":{"id":"https://openalex.org/S7407087167","display_name":"IEEE International Conference on Software Engineering and Artificial Intelligence (SEAI)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 2nd International Conference on Software Engineering and Artificial Intelligence (SEAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1986233675","https://openalex.org/W2103452139","https://openalex.org/W2107878631","https://openalex.org/W2133656308","https://openalex.org/W2167342870","https://openalex.org/W2320160869"],"related_works":["https://openalex.org/W4411804350","https://openalex.org/W4320037645","https://openalex.org/W7139948830","https://openalex.org/W4224237970","https://openalex.org/W4391528966","https://openalex.org/W2987826452","https://openalex.org/W2969702943","https://openalex.org/W2083138721","https://openalex.org/W2125670290","https://openalex.org/W1988980015"],"abstract_inverted_index":{"For":[0],"improving":[1],"traditional":[2,93],"methods":[3],"generalization":[4],"ability":[5],"of":[6,25,81,113],"identifying":[7],"random":[8],"error":[9,53],"sources":[10],"in":[11,19,102],"aircraft":[12],"strap-down":[13],"inertial":[14],"navigation(SINS)":[15],"and":[16,56,62],"applied":[17],"online":[18,82],"real":[20,103],"time,":[21,104],"through":[22],"the":[23,31,38,47,52,59,67,73,79,85,92,99,108,111],"design":[24,46],"deep":[26,74],"learning":[27,75],"network":[28,76],"to":[29,50,65,91],"replace":[30],"concrete":[32],"modeling":[33],"method":[34],"combined":[35],"practical":[36],"problem,":[37],"output":[39],"signal":[40],"characteristics":[41],"are":[42,87],"extracted":[43],"by":[44],"convolution,":[45],"softmax":[48],"layer":[49],"identify":[51],"source":[54],"significance,":[55],"actually":[57],"build":[58],"sample":[60],"set":[61,64],"test":[63],"verify":[66],"network.":[68],"The":[69],"results":[70,86],"show":[71],"that":[72],"can":[77,97,106],"meet":[78],"requirements":[80],"analysis,":[83],"although":[84],"somewhat":[88],"crude":[89],"compared":[90],"methods,":[94],"but":[95],"it":[96],"reflect":[98],"system":[100],"state":[101],"which":[105],"provide":[107],"basis":[109],"for":[110],"optimization":[112],"navigation":[114],"filtering":[115],"algorithm.":[116]},"counts_by_year":[],"updated_date":"2026-10-13T10:08:12.033832","created_date":"2022-07-26T00:00:00"}
