DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, H | - |
dc.contributor.author | Jun, CH | - |
dc.contributor.author | Song, J | - |
dc.contributor.author | Hong, JW | - |
dc.date.accessioned | 2016-04-01T01:37:22Z | - |
dc.date.available | 2016-04-01T01:37:22Z | - |
dc.date.created | 2009-02-28 | - |
dc.date.issued | 2007-05-15 | - |
dc.identifier.issn | 0169-7439 | - |
dc.identifier.other | 2007-OAK-0000006936 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/23342 | - |
dc.description.abstract | Several iron-zinc phases are usually present in a galvannealed steel sheet. Since manufacturers require the identification of phases for the most suitable coatings, the quantitative determination of phase fractions is necessary. There are some qualitative and quantitative methods for phase analysis, but the quantitative procedure of obtaining phase fractions is not available. By using the independent component analysis applied to the X-ray diffraction spectra of galvannealed steel sheets, the present phases were identified by extracting a pure spectrum of each phase. Furthermore, a procedure for estimating phase fractions was proposed, which is based on the regression model subject to the non-negativity constraint on coefficients. Simulation experiments were carried out to demonstrate the performance of the proposed approach. (C) 2006 Elsevier B.V. All rights reserved. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.relation.isPartOf | CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | - |
dc.subject | independent component analysis | - |
dc.subject | non-negative least squares | - |
dc.subject | pure components | - |
dc.subject | X-ray diffraction spectrum | - |
dc.subject | BLIND SEPARATION | - |
dc.subject | MIXTURES | - |
dc.subject | SPECTRA | - |
dc.subject | SET | - |
dc.title | The estimation of phase fractions in a galvannealed steel sheet using independent component analysis | - |
dc.type | Article | - |
dc.contributor.college | 산업경영공학과 | - |
dc.identifier.doi | 10.1016/j.chemolab.2006.10.001 | - |
dc.author.google | Lee, H | - |
dc.author.google | Jun, CH | - |
dc.author.google | Song, J | - |
dc.author.google | Hong, JW | - |
dc.relation.volume | 87 | - |
dc.relation.issue | 1 | - |
dc.relation.startpage | 81 | - |
dc.relation.lastpage | 87 | - |
dc.contributor.id | 10070938 | - |
dc.relation.journal | CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCI | - |
dc.collections.name | Journal Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, v.87, no.1, pp.81 - 87 | - |
dc.identifier.wosid | 000247222000013 | - |
dc.date.tcdate | 2019-01-01 | - |
dc.citation.endPage | 87 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 81 | - |
dc.citation.title | CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | - |
dc.citation.volume | 87 | - |
dc.contributor.affiliatedAuthor | Jun, CH | - |
dc.identifier.scopusid | 2-s2.0-34247641822 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 4 | - |
dc.type.docType | Article | - |
dc.subject.keywordPlus | BLIND SEPARATION | - |
dc.subject.keywordPlus | SPECTRA | - |
dc.subject.keywordPlus | SET | - |
dc.subject.keywordAuthor | independent component analysis | - |
dc.subject.keywordAuthor | non-negative least squares | - |
dc.subject.keywordAuthor | pure components | - |
dc.subject.keywordAuthor | X-ray diffraction spectrum | - |
dc.relation.journalWebOfScienceCategory | Automation & Control Systems | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Analytical | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Instruments & Instrumentation | - |
dc.relation.journalWebOfScienceCategory | Mathematics, Interdisciplinary Applications | - |
dc.relation.journalWebOfScienceCategory | Statistics & Probability | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Automation & Control Systems | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Instruments & Instrumentation | - |
dc.relation.journalResearchArea | Mathematics | - |
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