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    Article

    Impact of Pd nanoparticle loading method on SnO2 surface for natural gas detection in humid atmosphere

    To improve the sensor response to low concentrations of methane (CH4) at low operating temperatures in humid atmospheres, we prepared Pd-loaded SnO2 (Pd-SnO2) nanoparticles via two different Pd-loading processes:...

    Chengcheng Liu, Koichi Suematsu, Akihito Uchiyama in Journal of Materials Science (2021)

  2. No Access

    Article

    Oxygen adsorption on ZrO2-loaded SnO2 gas sensors in humid atmosphere

    Oxygen adsorption on the surface of particles plays a key role in gas sensing for SnO2-based resistive-type gas sensors in a humid atmosphere. In this study, we added an extremely small amount of ZrO2 on the SnO2

    Koichi Suematsu, Hotaka Uchino, Takaharu Mizukami in Journal of Materials Science (2019)

  3. Article

    Effects of climate change on reduction of internal bond strength of particleboard subjected to various climatic conditions in Japan

    The effects of climate change on the reduction of internal bond strength (IB) of particleboard subjected to various climatic conditions in Japan were predicted. The temperature increased throughout Japan with ...

    Hideaki Korai, Katsuhiro Nakao, Tetsuya Matsui, Ken Watanabe in Journal of Wood Science (2017)

  4. Article

    Probabilistic evaluation of the final moisture content of kiln-dried lumber using the bootstrap method

    This paper presents a probabilistic method of evaluating the final moisture content (MC) of lumber obtained at the end of the kiln-drying process. The final MC data of three different drying tests conducted in...

    Ken Watanabe, Tomoyuki Hayashi, Isao Kobayashi in Journal of Wood Science (2016)

  5. Article

    Simple separation of Torreya nucifera and Chamaecyparis obtusa wood using portable visible and near-infrared spectrophotometry: differences in light-conducting properties

    Hisashi Abe, Ken Watanabe, Atsuko Ishikawa, Shuichi Noshiro in Journal of Wood Science (2016)

  6. Article

    Predicting internal bond strength of particleboard under outdoor exposure based on climate data: comparison of multiple linear regression and artificial neural network

    The internal bond strength (IB) of a commercial particleboard put under various outdoor exposure conditions were modeled using a multiple linear regression (MLR) and an artificial neural network (ANN). The out...

    Ken Watanabe, Hideaki Korai, Yasuhiro Matsushita in Journal of Wood Science (2015)

  7. Article

    Effectiveness of principal component analysis for analyzing particleboard subjected to outdoor exposure

    In order to investigate the strength reduction of particleboards subjected to outdoor exposure at eight sites across Japan, the climate factors, i.e., temperature, sunshine duration, and precipitation were ana...

    Hideaki Korai, Ken Watanabe in Journal of Wood Science (2015)

  8. Article

    Artificial neural network modeling for predicting final moisture content of individual Sugi (Cryptomeria japonica) samples during air-drying

    Sugi (Cryptomeria japonica D. Don) lumber is known to have a large variability in final moisture content (MCf) and is difficult to dry. This study assessed the capability of artificial neural networks (ANNs) to p...

    Ken Watanabe, Yasuhiro Matsushita, Isao Kobayashi in Journal of Wood Science (2013)

  9. Article

    Investigation of wood properties that influence the final moisture content of air-dried sugi (Cryptomeria japonica) using principal component regression analysis

    Sugi (Cryptomeria japonica D. Don) lumber is known to have a large variability in final moisture content (MCf) and is difficult to dry. This study investigated the variability in MCf of sugi in relation to wood p...

    Ken Watanabe, Isao Kobayashi, Naohiro Kuroda in Journal of Wood Science (2012)

  10. Article

    Predicting oven-dry density of Sugi (Cryptomeria japonica) using near infrared (NIR) spectroscopy and its effect on performance of wood moisture meter

    We propose a non-destructive method to predict the oven-dry density of Sugi (Cryptomeria japonica D. Don) using near infrared (NIR) spectroscopy so as to calibrate a commercial moisture meter. A prediction model ...

    Ken Watanabe, Isao Kobayashi, Naohiro Kuroda, Masaki Harada in Journal of Wood Science (2012)

  11. Article

    Non-destructive evaluation of surface longitudinal growth strain on Sugi (Cryptomeria japonica) green logs using near-infrared spectroscopy

    A use of near-infrared (NIR) spectroscopy for rapidly predicting the longitudinal growth strain (LGS), as a detector of growth stress, was described. NIR spectra and LGS were measured from peripheral locations...

    Ken Watanabe, Kana Yamashita, Shuichi Noshiro in Journal of Wood Science (2012)

  12. Article

    Evaluation of end-check propagation based on mode I fracture toughness of sugi (Cryptomeria japonica)

    The relation between crack propagation based on fracture mechanics and end-check propagation during drying was evaluated in this study. Corresponding to the direction of end-check propagation, the mode I fract...

    Ken Watanabe, Satoshi Shida, Masamitsu Ohta in Journal of Wood Science (2011)

  13. Article

    Application of near-infrared spectroscopy for moisture-based sorting of green hem-fir timber

    A rapid, non-destructive, in-line method suitable for sorting green hem-fir timbers (115-mm square) based on moisture content was established by near-infrared (NIR) spectroscopy. The accuracy of NIR sorting wa...

    Ken Watanabe, Shawn D. Mansfield, Stavros Avramidis in Journal of Wood Science (2011)