{"id":"https://openalex.org/W2907724177","doi":"https://doi.org/10.1109/tim.2018.2886923","title":"FPGA-Based Implementation of an Artificial Neural Network for Measurement Acceleration in BOTDA Sensors","display_name":"FPGA-Based Implementation of an Artificial Neural Network for Measurement Acceleration in BOTDA Sensors","publication_year":2018,"publication_date":"2018-12-28","ids":{"openalex":"https://openalex.org/W2907724177","doi":"https://doi.org/10.1109/tim.2018.2886923","mag":"2907724177"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2018.2886923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2018.2886923","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5021069034","display_name":"Mojtaba Abbasnezhad","orcid":null},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Mojtaba Abbasnezhad","raw_affiliation_strings":["Design, Verification and Debugging of Embedded Systems Laboratory, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Design, Verification and Debugging of Embedded Systems Laboratory, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069623023","display_name":"Bijan Alizadeh","orcid":"https://orcid.org/0000-0003-4436-4597"},"institutions":[{"id":"https://openalex.org/I23946033","display_name":"University of Tehran","ror":"https://ror.org/05vf56z40","country_code":"IR","type":"education","lineage":["https://openalex.org/I23946033"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Bijan Alizadeh","raw_affiliation_strings":["Design, Verification and Debugging of Embedded Systems Laboratory, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Design, Verification and Debugging of Embedded Systems Laboratory, School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran","institution_ids":["https://openalex.org/I23946033"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5021069034"],"corresponding_institution_ids":["https://openalex.org/I23946033"],"apc_list":null,"apc_paid":null,"fwci":0.3863,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.64873867,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"68","issue":"11","first_page":"4326","last_page":"4334"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10205","display_name":"Advanced Fiber Optic Sensors","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10205","display_name":"Advanced Fiber Optic Sensors","score":0.9998000264167786,"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/T10299","display_name":"Photonic and Optical Devices","score":0.9991000294685364,"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/T11429","display_name":"Semiconductor Lasers and Optical Devices","score":0.9966999888420105,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/brillouin-scattering","display_name":"Brillouin scattering","score":0.7209808826446533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6249670386314392},{"id":"https://openalex.org/keywords/optical-fiber","display_name":"Optical fiber","score":0.607774555683136},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5812599062919617},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5594874620437622},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5321941375732422},{"id":"https://openalex.org/keywords/fiber-optic-sensor","display_name":"Fiber optic sensor","score":0.48286011815071106},{"id":"https://openalex.org/keywords/brillouin-zone","display_name":"Brillouin zone","score":0.4546412229537964},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.4421485960483551},{"id":"https://openalex.org/keywords/field-programmable-gate-array","display_name":"Field-programmable gate array","score":0.42681336402893066},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4254404306411743},{"id":"https://openalex.org/keywords/distributed-acoustic-sensing","display_name":"Distributed acoustic sensing","score":0.4142898619174957},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.38310903310775757},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.27741754055023193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.253061980009079},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.20442068576812744},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.19119194149971008},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1752573847770691},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1728207767009735}],"concepts":[{"id":"https://openalex.org/C43989790","wikidata":"https://www.wikidata.org/wiki/Q578741","display_name":"Brillouin scattering","level":3,"score":0.7209808826446533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6249670386314392},{"id":"https://openalex.org/C194232370","wikidata":"https://www.wikidata.org/wiki/Q162","display_name":"Optical fiber","level":2,"score":0.607774555683136},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5812599062919617},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5594874620437622},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5321941375732422},{"id":"https://openalex.org/C21651689","wikidata":"https://www.wikidata.org/wiki/Q1397427","display_name":"Fiber optic sensor","level":3,"score":0.48286011815071106},{"id":"https://openalex.org/C16291881","wikidata":"https://www.wikidata.org/wiki/Q917246","display_name":"Brillouin zone","level":2,"score":0.4546412229537964},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.4421485960483551},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"score":0.42681336402893066},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4254404306411743},{"id":"https://openalex.org/C158543913","wikidata":"https://www.wikidata.org/wiki/Q5283133","display_name":"Distributed acoustic sensing","level":4,"score":0.4142898619174957},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.38310903310775757},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.27741754055023193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.253061980009079},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.20442068576812744},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.19119194149971008},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1752573847770691},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1728207767009735},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2018.2886923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2018.2886923","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W785950572","https://openalex.org/W1976143336","https://openalex.org/W1979803215","https://openalex.org/W2031041217","https://openalex.org/W2032476719","https://openalex.org/W2047094327","https://openalex.org/W2064578710","https://openalex.org/W2077255424","https://openalex.org/W2096387830","https://openalex.org/W2099691301","https://openalex.org/W2135497688","https://openalex.org/W2141738371","https://openalex.org/W2299244345","https://openalex.org/W2299632326","https://openalex.org/W2481990871","https://openalex.org/W2538756378","https://openalex.org/W2759106746","https://openalex.org/W2776835018"],"related_works":["https://openalex.org/W2590871063","https://openalex.org/W1994728283","https://openalex.org/W4389724069","https://openalex.org/W2973209402","https://openalex.org/W2350013127","https://openalex.org/W2118156765","https://openalex.org/W2038517448","https://openalex.org/W2364190179","https://openalex.org/W4324386707","https://openalex.org/W2368450671"],"abstract_inverted_index":{"In":[0,86],"recent":[1],"years,":[2],"using":[3],"distributed":[4,106],"fiber-optic":[5,107],"sensors":[6,25,108],"based":[7,94,109],"on":[8,95,110],"Brillouin":[9,112,119,141],"scattering,":[10],"for":[11,77,99],"monitoring":[12],"pipelines,":[13],"tunnels,":[14],"and":[15,102,121,146,159],"other":[16],"constructional":[17],"structures":[18],"have":[19,26],"gained":[20],"huge":[21],"popularity.":[22],"However,":[23],"these":[24],"a":[27,78,91],"low":[28],"signal-to-noise":[29],"ratio":[30],"(SNR),":[31],"which":[32,46,128],"usually":[33,75],"increases":[34,53],"their":[35,123],"measurement":[36,55,103,131],"error.":[37],"To":[38],"alleviate":[39],"this":[40,87],"issue,":[41],"ensemble":[42],"averaging":[43,61,73],"is":[44,74],"used":[45],"improves":[47,122,136],"the":[48,54,58,69,82,111,117,130,137,140,156],"SNR":[49,100,124],"but":[50],"in":[51,105,153],"return":[52],"time.":[56],"Reducing":[57],"noise":[59],"by":[60,125,149],"requires":[62],"hundreds":[63],"or":[64],"thousands":[65],"of":[66,68,81,139],"scans":[67],"optical":[70],"fiber;":[71],"hence":[72],"responsible":[76],"large":[79],"percent":[80],"entire":[83],"system":[84],"latency.":[85],"paper,":[88],"we":[89],"propose":[90],"novel":[92],"method":[93,115],"artificial":[96],"neural":[97],"network":[98],"enhancement":[101],"acceleration":[104],"scattering.":[113],"Our":[114],"takes":[116],"noisy":[118],"spectrums":[120],"20":[126],"dB,":[127],"reduces":[129],"time":[132],"significantly.":[133],"It":[134],"also":[135],"accuracy":[138],"frequency":[142],"shift":[143],"estimation":[144],"process":[145],"its":[147],"latency":[148],"more":[150],"than":[151],"50%":[152],"comparison":[154],"with":[155],"state-of-the-art":[157],"software":[158],"hardware":[160],"solutions.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}