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Junji Sugiyama

Datos Biográficos

ID103444
NOMBREJunji Sugiyama
NOMBRESJunji
APELLIDOSugiyama
FIRMASUGIYAMA J
AFILIACIONESKyoto University
ORCID0000-0002-5388-4925
VERIFICADOSí
TOTAL DE OBRAS5
TOTAL DE CITAS12
OBRAS COMO AUTOR5
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2010
AÑO MÁS RECIENTE DE PUBLICACIÓN2022
ÍNDICE H1
  • New attempts with the keratin-metal/magnesium process for the conservation of archaeological waterlogged wood

    Open Access•Rie Endo, Junji Sugiyama•ARTICLE•Journal of Cultural Heritage•2022•Referencias: 12

  • Non-destructive method for wood identification using conventional X-ray computed tomography data

    Open Access•Kayoko Kobayashi, Sung-Wook Hwang et al.•ARTICLE•Journal of Cultural Heritage•2019•Citada por: 1•Referencias: 13

    We establish an efficient and reliable method of wood identification that combines a non-destructive and non-invasive laboratory-scale tool, X-ray computed tomography (CT), with machine learning for image recognition. We selected six hardwood species used to create the Tripitaka Koreana and obtained the X-ray CT data of its woodblocks. Image recognition systems using the gray-level co-occurrence matrix (GLCM) or local binary patterns (LBP) were a…

  • Assessment of sungkai tree-ring δ18O proxy for paleoclimate reconstruction in western Java, Indonesia

    Open Access•Mao Harada, Yumiko Watanabe et al.•ARTICLE•Quaternary International•2017

  • Identification and conservation of a Neolithic polypore

    Open Access•Rie Endo, Tsutomu Hattori et al.•ARTICLE•Journal of Cultural Heritage•2015

  • Wood identification of a wooden mask using synchrotron X-ray microtomography

    Open Access•Suyako Mizuno, Ryoji Torizu et al.•ARTICLE•Journal of Archaeological Science•2010•Citada por: 11

  • Wood identification of a wooden mask using synchrotron X-ray microtomography

    Open Access•Suyako Mizuno, Ryoji Torizu et al.•ARTICLE•Journal of Archaeological Science•2010•Citada por: 11

  • Non-destructive method for wood identification using conventional X-ray computed tomography data

    Open Access•Kayoko Kobayashi, Sung-Wook Hwang et al.•ARTICLE•Journal of Cultural Heritage•2019•Citada por: 1•Referencias: 13

    We establish an efficient and reliable method of wood identification that combines a non-destructive and non-invasive laboratory-scale tool, X-ray computed tomography (CT), with machine learning for image recognition. We selected six hardwood species used to create the Tripitaka Koreana and obtained the X-ray CT data of its woodblocks. Image recognition systems using the gray-level co-occurrence matrix (GLCM) or local binary patterns (LBP) were a…

  • Wood identification of a wooden mask using synchrotron X-ray microtomography

    Open Access•Suyako Mizuno, Ryoji Torizu et al.•ARTICLE•Journal of Archaeological Science•2010•Citada por: 11

  • Identification and conservation of a Neolithic polypore

    Open Access•Rie Endo, Tsutomu Hattori et al.•ARTICLE•Journal of Cultural Heritage•2015

  • Assessment of sungkai tree-ring δ18O proxy for paleoclimate reconstruction in western Java, Indonesia

    Open Access•Mao Harada, Yumiko Watanabe et al.•ARTICLE•Quaternary International•2017

  • Non-destructive method for wood identification using conventional X-ray computed tomography data

    Open Access•Kayoko Kobayashi, Sung-Wook Hwang et al.•ARTICLE•Journal of Cultural Heritage•2019•Citada por: 1•Referencias: 13

    We establish an efficient and reliable method of wood identification that combines a non-destructive and non-invasive laboratory-scale tool, X-ray computed tomography (CT), with machine learning for image recognition. We selected six hardwood species used to create the Tripitaka Koreana and obtained the X-ray CT data of its woodblocks. Image recognition systems using the gray-level co-occurrence matrix (GLCM) or local binary patterns (LBP) were a…

  • New attempts with the keratin-metal/magnesium process for the conservation of archaeological waterlogged wood

    Open Access•Rie Endo, Junji Sugiyama•ARTICLE•Journal of Cultural Heritage•2022•Referencias: 12

Geography (4 obras) · Biology (3 obras) · Cultural Heritage Materials Analysis (3 obras) · Wood and Agarwood Research (3 obras) · Archaeology (2 obras) · Botany (2 obras) · Geology (2 obras) · Materials Science (2 obras) · Physics (2 obras) · Wood Treatment and Properties (2 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae