{"id":"https://openalex.org/W4410428205","doi":"https://doi.org/10.1109/icst62759.2024.10992167","title":"Residual-CBAM CNN-Based Railway Environment Classification Using Distributed Acoustic Sensing Data from Train Operations","display_name":"Residual-CBAM CNN-Based Railway Environment Classification Using Distributed Acoustic Sensing Data from Train Operations","publication_year":2024,"publication_date":"2024-12-09","ids":{"openalex":"https://openalex.org/W4410428205","doi":"https://doi.org/10.1109/icst62759.2024.10992167"},"language":"en","primary_location":{"id":"doi:10.1109/icst62759.2024.10992167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icst62759.2024.10992167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 17th International Conference on Sensing Technology (ICST)","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/A5029580518","display_name":"Hye-yeun Chun","orcid":null},"institutions":[{"id":"https://openalex.org/I88761825","display_name":"Korea University of Science and Technology","ror":"https://ror.org/000qzf213","country_code":"KR","type":"education","lineage":["https://openalex.org/I88761825"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hye-Yeun Chun","raw_affiliation_strings":["Transportation System Engineering, Korea University of Science and Technology,Daejeon,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Transportation System Engineering, Korea University of Science and Technology,Daejeon,Korea","institution_ids":["https://openalex.org/I88761825"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064147970","display_name":"Dongkue Kim","orcid":"https://orcid.org/0000-0003-2828-8627"},"institutions":[{"id":"https://openalex.org/I4210161173","display_name":"Korea Railroad Research Institute","ror":"https://ror.org/04gzcxt97","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4210161173","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dongkue Kim","raw_affiliation_strings":["Korea Railroad Research Institute,Smart Electrical and Signaling Division,Uiwang,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea Railroad Research Institute,Smart Electrical and Signaling Division,Uiwang,Korea","institution_ids":["https://openalex.org/I4210161173"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039500646","display_name":"Jungtai Kim","orcid":"https://orcid.org/0000-0002-0085-7261"},"institutions":[{"id":"https://openalex.org/I4210161173","display_name":"Korea Railroad Research Institute","ror":"https://ror.org/04gzcxt97","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4210161173","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jungtai Kim","raw_affiliation_strings":["Korea Railroad Research Institute,Smart Electrical and Signaling Division,Uiwang,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea Railroad Research Institute,Smart Electrical and Signaling Division,Uiwang,Korea","institution_ids":["https://openalex.org/I4210161173"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100368289","display_name":"Sungjin Kim","orcid":"https://orcid.org/0000-0002-4768-4206"},"institutions":[{"id":"https://openalex.org/I4210161173","display_name":"Korea Railroad Research Institute","ror":"https://ror.org/04gzcxt97","country_code":"KR","type":"facility","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4210161173","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungjin Kim","raw_affiliation_strings":["Korea Railroad Research Institute,Smart Electrical and Signaling Division,Uiwang,Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea Railroad Research Institute,Smart Electrical and Signaling Division,Uiwang,Korea","institution_ids":["https://openalex.org/I4210161173"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1864,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50505912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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/T10842","display_name":"Railway Engineering and Dynamics","score":0.9710999727249146,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10842","display_name":"Railway Engineering and Dynamics","score":0.9710999727249146,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11609","display_name":"Geophysical Methods and Applications","score":0.9380000233650208,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.906499981880188,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/residual","display_name":"Residual","score":0.7911906242370605},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7134233713150024},{"id":"https://openalex.org/keywords/distributed-acoustic-sensing","display_name":"Distributed acoustic sensing","score":0.5067549347877502},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.36260807514190674},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.341217577457428},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32152387499809265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2912733554840088},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15553614497184753},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13517552614212036}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7911906242370605},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7134233713150024},{"id":"https://openalex.org/C158543913","wikidata":"https://www.wikidata.org/wiki/Q5283133","display_name":"Distributed acoustic sensing","level":4,"score":0.5067549347877502},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36260807514190674},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.341217577457428},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32152387499809265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2912733554840088},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15553614497184753},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13517552614212036},{"id":"https://openalex.org/C194232370","wikidata":"https://www.wikidata.org/wiki/Q162","display_name":"Optical fiber","level":2,"score":0.0},{"id":"https://openalex.org/C21651689","wikidata":"https://www.wikidata.org/wiki/Q1397427","display_name":"Fiber optic sensor","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icst62759.2024.10992167","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icst62759.2024.10992167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 17th International Conference on Sensing Technology (ICST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2799294747","https://openalex.org/W2889191742","https://openalex.org/W2963446712","https://openalex.org/W2972693890","https://openalex.org/W2999750248","https://openalex.org/W4205190369","https://openalex.org/W4205546079","https://openalex.org/W4246193833","https://openalex.org/W4289550194","https://openalex.org/W4289752563","https://openalex.org/W4293649366","https://openalex.org/W4386210976","https://openalex.org/W4390053649","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6640185926"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2521347458","https://openalex.org/W2498789492","https://openalex.org/W2729981612","https://openalex.org/W4233449973","https://openalex.org/W2925692864","https://openalex.org/W2768526084","https://openalex.org/W151988857"],"abstract_inverted_index":{"While":[0],"Distributed":[1],"Acoustic":[2],"Sensing":[3],"(DAS)":[4],"is":[5],"well-suited":[6],"for":[7],"temporal":[8],"and":[9,13,26,45,54,71,101,158],"spatial":[10],"continuous":[11],"measurements":[12],"remote":[14],"monitoring":[15],"over":[16],"long":[17],"distances,":[18],"large":[19],"datasets":[20],"are":[21],"generated":[22],"that":[23,169],"require":[24],"precise":[25],"reliable":[27],"analysis":[28],"algorithms.":[29],"In":[30],"this":[31],"study,":[32],"a":[33,78],"deep":[34],"learning":[35],"model":[36,120,142,172],"incorporating":[37],"Convolutional":[38,47],"Neural":[39],"Networks":[40],"(CNN)":[41],"with":[42,147],"residual":[43],"blocks,":[44],"the":[46,90,94,105,118,123,128,132,135,170],"Block":[48],"Attention":[49],"Module":[50],"(CBAM)":[51],"was":[52,58,86],"developed":[53,119,171],"its":[55],"classification":[56,166],"performance":[57,167],"validated":[59],"to":[60,88,121],"accurately":[61],"classify":[62,122],"railway":[63,124,145,178],"environments":[64,146],"(open":[65],"field,":[66],"tunnel,":[67],"bridge,":[68],"tongue":[69],"rail,":[70],"crossing)":[72],"using":[73,180],"vibration":[74,102,129],"data":[75,103,130],"obtained":[76],"from":[77],"DAS":[79,181],"system":[80],"during":[81],"train":[82,95,136],"operations.":[83],"A":[84],"method":[85],"devised":[87],"detect":[89],"time":[91,106],"intervals":[92,107],"when":[93],"occupies":[96],"each":[97],"spatially":[98],"sampled":[99],"position,":[100],"within":[104],"were":[108,114],"converted":[109],"into":[110,117],"spectrograms.":[111],"These":[112],"spectrograms":[113],"then":[115],"fed":[116],"environment":[125],"based":[126],"on":[127],"near":[131],"tracks":[133],"as":[134],"passed":[137],"by.":[138],"The":[139,164],"Residual-CBAM":[140],"CNN":[141],"classified":[143],"five":[144],"an":[148,159],"accuracy":[149],"of":[150,153,156,162],"0.9688,":[151],"precision":[152],"0.9778,":[154],"recall":[155],"0.9245,":[157],"F1":[160],"Score":[161],"0.9490.":[163],"high":[165],"demonstrates":[168],"can":[173],"be":[174],"effectively":[175],"applied":[176],"in":[177],"research":[179],"data.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}