{"id":"https://openalex.org/W3203465440","doi":"https://doi.org/10.1145/3467707.3467709","title":"Ultrasonic A-Scan Image Detection for 3D Braided Composites Based on Convolutional Neural Network","display_name":"Ultrasonic A-Scan Image Detection for 3D Braided Composites Based on Convolutional Neural Network","publication_year":2021,"publication_date":"2021-04-23","ids":{"openalex":"https://openalex.org/W3203465440","doi":"https://doi.org/10.1145/3467707.3467709","mag":"3203465440"},"language":"en","primary_location":{"id":"doi:10.1145/3467707.3467709","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3467707.3467709","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th International Conference on Computing and Artificial Intelligence","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/A5008957721","display_name":"Zhitao Xiao","orcid":"https://orcid.org/0000-0003-2444-9198"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tianjin Polytechnic University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhitao Xiao","raw_affiliation_strings":["Tiangong University, Tianjin"],"affiliations":[{"raw_affiliation_string":"Tiangong University, Tianjin","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112307326","display_name":"Quan Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tianjin Polytechnic University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Quan Guo","raw_affiliation_strings":["Tiangong University, Tianjin"],"affiliations":[{"raw_affiliation_string":"Tiangong University, Tianjin","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101909163","display_name":"Yongmin Guo","orcid":"https://orcid.org/0000-0002-0755-3738"},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tianjin Polytechnic University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongmin Guo","raw_affiliation_strings":["Tiangong University, Tianjin"],"affiliations":[{"raw_affiliation_string":"Tiangong University, Tianjin","institution_ids":["https://openalex.org/I198091727"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080600815","display_name":"Yalong Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I198091727","display_name":"Tianjin Polytechnic University","ror":"https://ror.org/00xsr9m91","country_code":"CN","type":"education","lineage":["https://openalex.org/I198091727"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yalong Huang","raw_affiliation_strings":["Tiangong University, Tianjin"],"affiliations":[{"raw_affiliation_string":"Tiangong University, Tianjin","institution_ids":["https://openalex.org/I198091727"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5008957721"],"corresponding_institution_ids":["https://openalex.org/I198091727"],"apc_list":null,"apc_paid":null,"fwci":0.1483,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5613198,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"44","issue":null,"first_page":"8","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10638","display_name":"Optical measurement and interference techniques","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8350385427474976},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.7686394453048706},{"id":"https://openalex.org/keywords/ultrasonic-sensor","display_name":"Ultrasonic sensor","score":0.7306094169616699},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.6993751525878906},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6916842460632324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6618071794509888},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5794987082481384},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5371822118759155},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5144439339637756},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.46214377880096436},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46188753843307495},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.42836371064186096},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34545326232910156},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.1662408411502838}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8350385427474976},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.7686394453048706},{"id":"https://openalex.org/C81288441","wikidata":"https://www.wikidata.org/wiki/Q20736125","display_name":"Ultrasonic sensor","level":2,"score":0.7306094169616699},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.6993751525878906},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6916842460632324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6618071794509888},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5794987082481384},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5371822118759155},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5144439339637756},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.46214377880096436},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46188753843307495},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.42836371064186096},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34545326232910156},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.1662408411502838},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"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/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3467707.3467709","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3467707.3467709","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 7th International Conference on Computing and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W767883659","https://openalex.org/W1224206844","https://openalex.org/W2019328284","https://openalex.org/W2050937193","https://openalex.org/W2065683643","https://openalex.org/W2069365310","https://openalex.org/W2079175921","https://openalex.org/W2097117768","https://openalex.org/W2169569004","https://openalex.org/W2209998895","https://openalex.org/W2274287116","https://openalex.org/W2517582325","https://openalex.org/W2587663945","https://openalex.org/W2616728375","https://openalex.org/W2902551404","https://openalex.org/W2964216094","https://openalex.org/W2964350391","https://openalex.org/W3025253116"],"related_works":["https://openalex.org/W4387327236","https://openalex.org/W2183488467","https://openalex.org/W1990237101","https://openalex.org/W4309907966","https://openalex.org/W2028462208","https://openalex.org/W4387896287","https://openalex.org/W4285337533","https://openalex.org/W2982831492","https://openalex.org/W3170838353","https://openalex.org/W2187490799"],"abstract_inverted_index":{"Automatic":[0],"ultrasonic":[1,28,41],"signal":[2,42],"classification":[3,31],"of":[4,18,85,115],"3D":[5],"braided":[6],"composites":[7],"is":[8],"finding":[9],"increasing":[10],"use":[11],"in":[12,120],"many":[13],"applications":[14],"for":[15,27,98],"the":[16,66,77,86,92,100,105,112,116,121],"interpretation":[17],"signals.":[19],"In":[20],"this":[21],"paper,":[22],"we":[23,118],"present":[24],"a":[25],"method":[26,117],"A-scan":[29],"image":[30],"based":[32],"on":[33],"deep":[34,87],"convolutional":[35],"neural":[36],"network":[37,89],"(CNN)":[38],"model.":[39],"The":[40,61],"data":[43,55,59,123],"set":[44,56,124],"was":[45,128],"obtained":[46],"from":[47],"Olympus":[48],"Omniscan":[49],"MX2":[50],"and":[51,57,65,90,104,135],"divided":[52],"into":[53],"training":[54,99],"test":[58,122],"set.":[60],"batch":[62],"normalization":[63],"layer":[64,68,73],"inception":[67],"followed":[69],"by":[70],"max":[71],"pool":[72],"are":[74],"added":[75],"to":[76],"CNN":[78,95],"model,":[79],"which":[80,127],"can":[81],"speed":[82],"up":[83],"convergence":[84],"learning":[88],"improve":[91],"accuracy.":[93],"With":[94],"model":[96,134],"used":[97],"signals":[101],"with":[102,132],"debongding":[103],"non-defect":[106],"signals,":[107],"experimental":[108],"results":[109],"showed":[110],"that":[111],"accuracy":[113],"rate":[114],"proposed":[119],"reached":[125],"99.55%,":[126],"greatly":[129],"improved":[130],"compared":[131],"AlexNet":[133],"ResNet-34":[136],"network.":[137]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
