{"id":"https://openalex.org/W2920218689","doi":"https://doi.org/10.3365/kjmm.2019.57.3.184","title":"Estimation of Chemical Composition of Al-Si Cast Alloys Using Image Recognition","display_name":"Estimation of Chemical Composition of Al-Si Cast Alloys Using Image Recognition","publication_year":2019,"publication_date":"2019-03-05","ids":{"openalex":"https://openalex.org/W2920218689","doi":"https://doi.org/10.3365/kjmm.2019.57.3.184","mag":"2920218689"},"language":"en","primary_location":{"id":"doi:10.3365/kjmm.2019.57.3.184","doi":"https://doi.org/10.3365/kjmm.2019.57.3.184","is_oa":true,"landing_page_url":"https://doi.org/10.3365/kjmm.2019.57.3.184","pdf_url":null,"source":{"id":"https://openalex.org/S4306496387","display_name":"\ub300\ud55c\uae08\uc18d\uc7ac\ub8cc\ud559\ud68c\uc9c0","issn_l":"1738-8228","issn":["1738-8228","2288-8241"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["dongbi-d","jufo-1","kci-registered","poland-40","russia-white-list-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Korean Journal of Metals and Materials","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.3365/kjmm.2019.57.3.184","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035656212","display_name":"Sang-Jun Jeong","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sang-Jun Jeong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"In-Kyu Hwang","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"In-Kyu Hwang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012172875","display_name":"In-Sung Cho","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"In-Sung Cho","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100774093","display_name":"Hee-Soo Kim","orcid":"https://orcid.org/0000-0002-8521-4344","observed_orcids":["https://orcid.org/0000-0002-8521-4344"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hee-Soo 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":0.5983,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.57730892,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"57","issue":"3","first_page":"184","last_page":"192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.001500000013038516,"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"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.0010000000474974513,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/al-si-cast-alloys","display_name":"Al-Si cast alloys","score":0.9729999899864197},{"id":"https://openalex.org/keywords/image-recognition","display_name":"image recognition","score":0.9670000076293945},{"id":"https://openalex.org/keywords/inception-v3","display_name":"InceptionV3","score":0.9750000238418579},{"id":"https://openalex.org/keywords/silicon-content","display_name":"silicon content","score":0.6940000057220459},{"id":"https://openalex.org/keywords/aluminum-alloys","display_name":"aluminum alloys","score":0.5479999780654907}],"concepts":[{"id":"https://openalex.org/C149849071","wikidata":"https://www.wikidata.org/wiki/Q1263816","display_name":"Chemical composition","level":2,"score":0.8085564374923706},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6224420666694641},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.5756555795669556},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.5529767870903015},{"id":"https://openalex.org/C40231798","wikidata":"https://www.wikidata.org/wiki/Q1333743","display_name":"Composition (language)","level":2,"score":0.5424753427505493},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.518325686454773},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.49546730518341064},{"id":"https://openalex.org/C87976508","wikidata":"https://www.wikidata.org/wiki/Q1498213","display_name":"Microstructure","level":2,"score":0.485710471868515},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4836345911026001},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.46185243129730225},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4252357482910156},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3699561357498169},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.24216032028198242},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.171556293964386},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.10665732622146606},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.10338091850280762},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08916136622428894},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3365/kjmm.2019.57.3.184","doi":"https://doi.org/10.3365/kjmm.2019.57.3.184","is_oa":true,"landing_page_url":"https://doi.org/10.3365/kjmm.2019.57.3.184","pdf_url":null,"source":{"id":"https://openalex.org/S4306496387","display_name":"\ub300\ud55c\uae08\uc18d\uc7ac\ub8cc\ud559\ud68c\uc9c0","issn_l":"1738-8228","issn":["1738-8228","2288-8241"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["dongbi-d","jufo-1","kci-registered","poland-40","russia-white-list-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Korean Journal of Metals and Materials","raw_type":"journal-article"},{"id":"mag:3216143444","doi":null,"is_oa":true,"landing_page_url":"https://kiss.kstudy.com/thesis/thesis-view.asp?key=3659973","pdf_url":null,"source":{"id":"https://openalex.org/S4306496387","display_name":"\ub300\ud55c\uae08\uc18d\uc7ac\ub8cc\ud559\ud68c\uc9c0","issn_l":"1738-8228","issn":["1738-8228","2288-8241"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["dongbi-d","jufo-1","kci-registered","poland-40","russia-white-list-2"],"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":"\ub300\ud55c\uae08\uc18d\uc7ac\ub8cc\ud559\ud68c\uc9c0","raw_type":null}],"best_oa_location":{"id":"doi:10.3365/kjmm.2019.57.3.184","doi":"https://doi.org/10.3365/kjmm.2019.57.3.184","is_oa":true,"landing_page_url":"https://doi.org/10.3365/kjmm.2019.57.3.184","pdf_url":null,"source":{"id":"https://openalex.org/S4306496387","display_name":"\ub300\ud55c\uae08\uc18d\uc7ac\ub8cc\ud559\ud68c\uc9c0","issn_l":"1738-8228","issn":["1738-8228","2288-8241"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":["dongbi-d","jufo-1","kci-registered","poland-40","russia-white-list-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Korean Journal of Metals and Materials","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321199","display_name":"Chosun University","ror":"https://ror.org/01zt9a375"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1663973292","https://openalex.org/W1888026739","https://openalex.org/W1995341919","https://openalex.org/W2051980727","https://openalex.org/W2076063813","https://openalex.org/W2148239836","https://openalex.org/W2161369142","https://openalex.org/W2581101346","https://openalex.org/W4230674625"],"related_works":["https://openalex.org/W3216143444","https://openalex.org/W4405766718","https://openalex.org/W4405893763","https://openalex.org/W7047735992","https://openalex.org/W3157909136","https://openalex.org/W4386499230","https://openalex.org/W4392008911","https://openalex.org/W4392002233","https://openalex.org/W4404691203","https://openalex.org/W3037759101"],"abstract_inverted_index":{"In":[0],"this":[1,190],"study,":[2],"we":[3],"analyzed":[4,161],"the":[5,37,57,74,77,85,92,99,104,117,121,125,135,151,155,165,168,178],"chemical":[6,62,88,122,152,179,211],"composition":[7,63,123,127,153,180],"of":[8,24,76,81,98,106,120,134,164,177,198],"Al-Si":[9,22],"cast":[10,30],"alloys":[11,23],"from":[12],"microstructural":[13,58],"images,":[14],"using":[15,182],"image":[16,186,209],"recognition":[17,187],"and":[18,31,103,185,203],"machine":[19,41,44,183],"learning.":[20,42],"Binary":[21],"Si":[25],"=":[26],"1~10":[27],"wt%":[28],"were":[29],"prepared":[32],"as":[33],"reference":[34,199],"images":[35,59,200],"in":[36,84,189],"dataset":[38,86,156],"used":[39],"for":[40,67],"The":[43,79,96,132,175],"learning":[45,184],"procedure":[46],"was":[47,64,145,148],"constructed":[48],"with":[49,87,110,128,138],"Inception":[50],"V3":[51],"model.":[52],"Repeated":[53],"training":[54,112,130,139],"to":[55,60,69,72,91,142],"relate":[56],"their":[61],"carried":[65],"out,":[66],"up":[68,141],"10,000":[70],"steps,":[71],"increase":[73,193],"reliability":[75,176],"analysis.":[78],"peaks":[80,100],"similarity":[82,107],"existed":[83],"compositions":[89,166],"corresponding":[90],"known":[93],"target":[94,126],"composition.":[95],"heights":[97],"became":[101,108],"higher":[102],"distribution":[105],"sharper":[109],"further":[111],"steps.":[113,131],"This":[114],"means":[115],"that":[116,150],"weighted":[118],"average":[119],"approached":[124],"increasing":[129],"correctness":[133],"analysis":[136,181],"increased":[137],"steps":[140],"10,000,":[143],"then":[144],"saturated.":[146],"It":[147],"found":[149],"outside":[154],"range":[157,197],"could":[158],"not":[159],"be":[160],"correctly.":[162],"Analysis":[163],"between":[167],"datasets":[169],"showed":[170],"incorrect":[171],"but":[172],"reasonable":[173],"results.":[174],"developed":[188],"study":[191],"will":[192],"when":[194],"a":[195],"vast":[196],"are":[201],"collected":[202],"verified.":[204],"Key":[205],"words:":[206],"artificial":[207],"intelligence,":[208],"recognition,":[210],"composition,":[212],"microstructure,":[213],"aluminum":[214],"alloy":[215]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2019-03-11T00:00:00"}
