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- W2891419885 abstract "Abstract Naturally occurring knots reduce the mechanical strength of wood. Veneers from sugi ( Cryptomeria japonica ) served as research material to study the effect of knots and holes. Veneer samples were first subjected to a three-point bending test to obtain measured modulus of elasticity (MOE) values. Then, near-infrared (NIR) hyperspectral imaging (HSI) was used to construct a prediction model and map the predicted MOE values. This is the first attempt for MOE prediction from the entire veneer surface based on NIR-HSI technology, while the mathematical part relies on chemometrics and cross-validation partial least squares regression (CV-PLSR). Maps of MOE prediction values could distinguish between latewood (LW) and earlywood (EW), as well as between a sound knot and a dead knot." @default.
- W2891419885 created "2018-09-27" @default.
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- W2891419885 date "2018-09-18" @default.
- W2891419885 modified "2023-10-04" @default.
- W2891419885 title "Effect of knots and holes on the modulus of elasticity prediction and mapping of sugi (<i>Cryptomeria japonica</i>) veneer using near-infrared hyperspectral imaging (NIR-HSI)" @default.
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- W2891419885 doi "https://doi.org/10.1515/hf-2018-0060" @default.
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