{"id":"https://openalex.org/W4407467887","doi":"https://doi.org/10.1109/iccvit63928.2024.10872619","title":"The Application of Random Neural Networks in Fiber Optic Vibration Signal Recognition","display_name":"The Application of Random Neural Networks in Fiber Optic Vibration Signal Recognition","publication_year":2024,"publication_date":"2024-11-24","ids":{"openalex":"https://openalex.org/W4407467887","doi":"https://doi.org/10.1109/iccvit63928.2024.10872619"},"language":"en","primary_location":{"id":"doi:10.1109/iccvit63928.2024.10872619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvit63928.2024.10872619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 2nd International Conference on Computer, Vision and Intelligent Technology (ICCVIT)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5045424502","display_name":"Xing Sheng Yang","orcid":"https://orcid.org/0000-0001-6710-0012"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xing Yang","raw_affiliation_strings":["State Grid Qinghai Electric Power Company,Xining,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Qinghai Electric Power Company,Xining,China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074857317","display_name":"Linhui Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Linhui Yang","raw_affiliation_strings":["State Grid Qinghai Electric Power Company,Xining,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Qinghai Electric Power Company,Xining,China","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":0.45197923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9502000212669373,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.9502000212669373,"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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.9205999970436096,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.6156878471374512},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5843851566314697},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5745108723640442},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.542507529258728},{"id":"https://openalex.org/keywords/optical-fiber","display_name":"Optical fiber","score":0.535705029964447},{"id":"https://openalex.org/keywords/fiber","display_name":"Fiber","score":0.43115025758743286},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.36504828929901123},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.33177506923675537},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2973589301109314},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.18621063232421875},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17997393012046814},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17338314652442932}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6156878471374512},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5843851566314697},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5745108723640442},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.542507529258728},{"id":"https://openalex.org/C194232370","wikidata":"https://www.wikidata.org/wiki/Q162","display_name":"Optical fiber","level":2,"score":0.535705029964447},{"id":"https://openalex.org/C519885992","wikidata":"https://www.wikidata.org/wiki/Q161","display_name":"Fiber","level":2,"score":0.43115025758743286},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.36504828929901123},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.33177506923675537},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2973589301109314},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.18621063232421875},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17997393012046814},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17338314652442932},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/iccvit63928.2024.10872619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccvit63928.2024.10872619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 2nd International Conference on Computer, Vision and Intelligent Technology (ICCVIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335967","display_name":"Science and Technology Project of State Grid","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W3006049408","https://openalex.org/W3172636945","https://openalex.org/W3211382940","https://openalex.org/W4205350708","https://openalex.org/W4206400473","https://openalex.org/W4210713307","https://openalex.org/W4282832198","https://openalex.org/W4289812290","https://openalex.org/W4290779475","https://openalex.org/W4292155172","https://openalex.org/W4292322189","https://openalex.org/W4322730811"],"related_works":["https://openalex.org/W2995569247","https://openalex.org/W2361261209","https://openalex.org/W4389241047","https://openalex.org/W2997776052","https://openalex.org/W2331107224","https://openalex.org/W2628527627","https://openalex.org/W2357911031","https://openalex.org/W3119229018","https://openalex.org/W2990310615","https://openalex.org/W2380306780"],"abstract_inverted_index":{"With":[0],"the":[1,26,61,68,71,100,112,116,124,134,137,195,202,214,220,223,229],"prosperity":[2],"of":[3,29,104,115,154,186,201,216,222,231,244],"information":[4],"technology,":[5],"fiber":[6,33,56,94,146,245],"optic":[7,34,57,95,147,246],"sensing":[8],"technology":[9],"is":[10,46,127,158],"popularly":[11],"applied":[12],"in":[13,178],"scenarios":[14],"such":[15],"as":[16],"disturbance":[17],"detection":[18,30,39,165,197,233,239],"and":[19,59,98,102,123,199,210,234],"security":[20],"issues.":[21],"In":[22],"order":[23],"to":[24,81,92,130,190],"enhance":[25],"recognition":[27,143,152,176,243],"effect":[28,114],"systems":[31],"on":[32,42],"vibration":[35,52,62,85,96],"signals,":[36,148],"a":[37,141,150,173,184,207,236],"signal":[38,53,63,151,175,196,217,232,242],"method":[40,50],"grounded":[41],"random":[43],"neural":[44,88],"networks":[45,89],"proposed.":[47],"The":[48,107,167],"research":[49,108,117,138,168,203,224],"collects":[51],"data":[54],"through":[55],"detectors":[58],"converts":[60],"using":[64,76],"Fourier":[65],"transform.":[66],"At":[67,133],"same":[69,135],"time,":[70,136],"collected":[72],"signals":[73,97],"are":[74,90],"denoised":[75],"ensemble":[77],"empirical":[78],"mode":[79],"decomposition":[80],"obtain":[82],"processed":[83],"real-time":[84],"signals.":[86,106],"Random":[87],"utilized":[91],"identify":[93],"achieve":[99],"resolution":[101],"warning":[103],"abnormal":[105],"results":[109],"show":[110],"that":[111,194],"convergence":[113,125],"model":[118,139,169,204,225,240],"has":[119,140],"been":[120],"effectively":[121,212],"improved,":[122],"speed":[126],"faster":[128],"compared":[129,189],"other":[131,164,191],"algorithms.":[132],"high":[142,208],"accuracy":[144,153,200],"for":[145,241],"with":[149,183],"91.06%":[155],"-95.41%,":[156],"which":[157],"2.65%":[159],"-":[160],"23.12%":[161],"higher":[162],"than":[163],"models.":[166],"can":[170,211,226],"also":[171],"maintain":[172],"low":[174,179],"error":[177],"signal-to-noise":[180],"ratio":[181],"environments,":[182],"reduction":[185],"4.97%":[187],"-23.64%":[188],"algorithms,":[192],"indicating":[193],"coverage":[198],"remain":[205],"at":[206],"level":[209],"detect":[213],"trend":[215],"changes.":[218],"Therefore,":[219],"design":[221],"validly":[227],"raise":[228],"precision":[230],"provide":[235],"highly":[237],"accurate":[238],"sensors.":[247]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
