{"id":"https://openalex.org/W229216661","doi":"https://doi.org/10.4334/jkci.2005.17.3.369","title":"A Technique for Pattern Recognition of Concrete Surface Cracks","display_name":"A Technique for Pattern Recognition of Concrete Surface Cracks","publication_year":2005,"publication_date":"2005-06-01","ids":{"openalex":"https://openalex.org/W229216661","doi":"https://doi.org/10.4334/jkci.2005.17.3.369","mag":"229216661"},"language":"en","primary_location":{"id":"doi:10.4334/jkci.2005.17.3.369","doi":"https://doi.org/10.4334/jkci.2005.17.3.369","is_oa":false,"landing_page_url":"https://doi.org/10.4334/jkci.2005.17.3.369","pdf_url":null,"source":{"id":"https://openalex.org/S120419321","display_name":"Journal of the Korea Concrete Institute","issn_l":"1229-5515","issn":["1229-5515","2234-2842"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["kci-registered","poland-20","russia-white-list-4"],"host_organization":"https://openalex.org/P4310319496","host_organization_name":"Korea Concrete Institute","host_organization_lineage":["https://openalex.org/P4310319496"],"host_organization_lineage_names":["Korea Concrete Institute"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Korea Concrete Institute","raw_type":"journal-article"},"volume":null,"type":"article","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/A5044829364","display_name":"Bang-Yeon Lee","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bang-Yeon Lee","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043404435","display_name":"Yon-Dong Park","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yon-Dong Park","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5007059310","display_name":"Jin\u2010Keun Kim","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jin-Keun Kim","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.996,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.89865853,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"17","issue":"3","first_page":"369","last_page":"374"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9984999895095825,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.0007999999797903001,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.00019999999494757503,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/concrete-surface-cracks","display_name":"concrete surface cracks","score":0.9649999737739563},{"id":"https://openalex.org/keywords/image-processing","display_name":"image processing","score":0.6700000166893005},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.8299999833106995},{"id":"https://openalex.org/keywords/bayesian-regularization","display_name":"Bayesian regularization","score":0.9919999837875366},{"id":"https://openalex.org/keywords/overfitting","display_name":"overfitting","score":0.9380000233650208}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7761989831924438},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7484146356582642},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.6127768158912659},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5795349478721619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5247007608413696},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4887349605560303},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4618825614452362},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4325108826160431},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.4161824584007263},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37566912174224854},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3752189576625824},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21054351329803467},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1130063533782959},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.4334/jkci.2005.17.3.369","doi":"https://doi.org/10.4334/jkci.2005.17.3.369","is_oa":false,"landing_page_url":"https://doi.org/10.4334/jkci.2005.17.3.369","pdf_url":null,"source":{"id":"https://openalex.org/S120419321","display_name":"Journal of the Korea Concrete Institute","issn_l":"1229-5515","issn":["1229-5515","2234-2842"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["kci-registered","poland-20","russia-white-list-4"],"host_organization":"https://openalex.org/P4310319496","host_organization_name":"Korea Concrete Institute","host_organization_lineage":["https://openalex.org/P4310319496"],"host_organization_lineage_names":["Korea Concrete Institute"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Korea Concrete Institute","raw_type":"journal-article"},{"id":"mag:1928023749","doi":null,"is_oa":false,"landing_page_url":"https://koasas.kaist.ac.kr/handle/10203/86617","pdf_url":null,"source":{"id":"https://openalex.org/S4306496879","display_name":"\ud55c\uad6d\ucf58\ud06c\ub9ac\ud2b8\ud559\ud68c\ub17c\ubb38\uc9d1","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":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"\ud55c\uad6d\ucf58\ud06c\ub9ac\ud2b8\ud559\ud68c\ub17c\ubb38\uc9d1","raw_type":null},{"id":"mag:3192247697","doi":null,"is_oa":false,"landing_page_url":"http://dspace.kci.go.kr/handle/kci/688671","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4943999946117401}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2019106986","https://openalex.org/W2911546748"],"related_works":["https://openalex.org/W2788183547","https://openalex.org/W4221061995","https://openalex.org/W2051087721","https://openalex.org/W3166989692","https://openalex.org/W920931241","https://openalex.org/W4307822034","https://openalex.org/W4315778692","https://openalex.org/W1502922224","https://openalex.org/W3045797452","https://openalex.org/W130013534"],"abstract_inverted_index":{"This":[0],"study":[1],"proposes":[2],"a":[3,82,128],"technique":[4,24,80],"for":[5,34],"the":[6,35,52,101,104,108,111,119],"recognition":[7],"of":[8,54,61,100],"crack":[9,71,95,120],"patterns,":[10],"which":[11],"includes":[12],"horizontal,":[13],"vertical,":[14],"diagonal(),":[15,16],"and":[17,25,40,51,56,59],"random":[18],"cracks,":[19],"based":[20],"on":[21,93],"image":[22,37],"processing":[23,38],"artificial":[26,41,62,70],"neural":[27,42,63],"network.":[28,43],"A":[29],"MATLAB":[30],"code":[31],"was":[32,114],"developed":[33],"proposed":[36,112],"algorithm":[39,113],"Features":[44],"were":[45,65,91],"determined":[46,66],"using":[47],"total":[48],"projection":[49],"technique,":[50],"structure(no.":[53],"layers":[55],"hidden":[57],"neurons)":[58],"weight":[60],"network":[64],"by":[67,127],"learning":[68],"from":[69],"images.":[72],"In":[73],"this":[74],"process,":[75],"we":[76],"adopted":[77],"Bayesian":[78],"regularization":[79],"as":[81,116],"generalization":[83],"method":[84],"to":[85,97,124],"eliminate":[86],"overfitting":[87],"Problem.":[88],"Numerical":[89],"tests":[90,106],"performed":[92],"thirty-eight":[94],"images":[96],"examine":[98],"validity":[99],"algorithm.":[102],"Within":[103],"limited":[105],"in":[107],"present":[109],"study,":[110],"revealed":[115],"accurately":[117],"recognizing":[118],"patterns":[121],"when":[122],"compared":[123],"those":[125],"classified":[126],"human":[129],"expert.":[130]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
