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WOOD.2015.43.6.701.pdf | 715.35 kB | Adobe PDF | 見る/開く |
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dc.contributor.author | 황, 성욱 | ko |
dc.contributor.author | 이, 원희 | ko |
dc.contributor.author | Horikawa, Yoshiki | en |
dc.contributor.author | Sugiyama, Junji | en |
dc.contributor.alternative | Hwang, Sung Wook | en |
dc.contributor.alternative | Lee, Won Hee | en |
dc.contributor.alternative | 堀川, 祥生 | ja |
dc.contributor.alternative | 杉山, 淳司 | ja |
dc.date.accessioned | 2017-02-20T01:07:16Z | - |
dc.date.available | 2017-02-20T01:07:16Z | - |
dc.date.issued | 2015-01-01 | - |
dc.identifier.issn | 2233-7180 | - |
dc.identifier.uri | http://hdl.handle.net/2433/218246 | - |
dc.description.abstract | A model was designed to identify wood species between Pinus densiflora for. erecta Uyeki and Pinus densiflora Sieb. et Zucc. using the near-infrared (NIR) spectroscopy in combination with principal component analysis (PCA) and partial least square discriminant analysis (PLS-DA). In the PCA using all of the spectra, Pinus densiflora for. erecta Uyeki and Pinus densiflora Sieb. et Zucc. could not be classified. In the PCA using the spectrum that has been measured in sapwood, however, Pinus densiflora for. erecta Uyeki and Pinus densiflora Sieb. et Zucc. could be identified. In particular, it was clearly classified by sapwood in radial section. And more, these two species could be perfectly identified using PLS-DA prediction model. The best performance in species identification was obtained when the second derivative spectra was used; the prediction accuracy was 100%. For prediction model, the Rp 2 value was 0.86 and the RMSEP was 0.38 in second derivative spectra. It was verified that the model designed by NIR spectroscopy with PLS-DA is suitable for species identification between Pinus densiflora for. erecta Uyeki and Pinus densiflora Sieb. et Zucc. | en |
dc.format.mimetype | application/pdf | - |
dc.language.iso | kor | - |
dc.publisher | Korean Society of Wood Science Technology | en |
dc.rights | © Korean Society of Wood Science Technology | en |
dc.subject | Wood identification | en |
dc.subject | Near-infrared spectroscopy | en |
dc.subject | Partial least square discriminant analysis | en |
dc.subject | Pinus densiflora for. erecta Uyeki | en |
dc.subject | Pinus densiflora Sieb. et Zucc | en |
dc.subject | Principal component analysis | en |
dc.title | 소나무와 금강송의 수종식별을 위한 화학계량학적 접근 --근적외선 분광법과 다변량분석을 이용한수종 분류-- | ko |
dc.title.alternative | Chemometrics approach for species identification of pinus densiflora Sieb. et Zucc. and Pinus densiflora for. erecta Uyeki: -Species classification using near-infrared spectroscopy in combination with multivariate analysis | en |
dc.type | journal article | - |
dc.type.niitype | Journal Article | - |
dc.identifier.jtitle | Journal of the Korean Wood Science and Technology | en |
dc.identifier.volume | 43 | - |
dc.identifier.issue | 6 | - |
dc.identifier.spage | 701 | - |
dc.identifier.epage | 713 | - |
dc.relation.doi | 10.5658/WOOD.2015.43.6.701 | - |
dc.textversion | publisher | - |
dcterms.accessRights | open access | - |
出現コレクション: | 学術雑誌掲載論文等 |
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