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Effects of Unburned-Gas Temperature and Heat Loss on the Intrinsic Instabilities of Premixed Flames
国立大学法人長岡技術科学大学博士(工学)doctoral thesi
Machine Learning Based System to Automatically Detect Unintentional Sharing of Confidential Information from within a Company
国立大学法人長岡技術科学大学博士(工学)doctoral thesi
A Mechanism to Create a Delighted Student with Enhancing the Effectiveness of the Virtual Learning and Investigate the Behavior of Non-verbal Communication
国立大学法人長岡技術科学大学博士(工学)doctoral thesi
建設工学で学ぶ中級日本語2
Book長岡技術科学大学が海外の大学と協同で実施しているツイニング・プログラムで使用する教材が基になっています。
『建設工学で学ぶ中級日本語1』の第2弾です。前作と比べ、本文の難易度がやや高くなっているのが特徴です。boo
Generation of OH radicals and oxidation mechanism in photocatalysis of WO3 and BiVO4 powders
ArticleWO3 and BiVO4 attract widely research interests for their ability to oxidize water and generate O2 by visible light. In order to clarify the photocatalytic oxidation mechanism, OH radical (•OH) generation in the photocatalytic reactions was investigated by a fluorescence probe method under 470 nm LED irradiation using coumarin and coumarin-3-carboxylic acid as fluorescence probes. The generation yield of •OH for WO3 was found to be comparable to that for anatase TiO2, while that for BiVO4 was much smaller. On Cu2+ deposition, the •OH generation rate was increased for BiVO4, but not for WO3. On the addition of H2O2, the yield of •OH was increased for all the photocatalysts used. On the basis of the results the difference in the oxidation mechanism in WO3 and BiVO4 photocatalysis was discussed.journal articl
Strategy to automatically calibrate parameters of a hydrological model: a multi-step optimization scheme and its application to the Xinanjiang model
ArticleParameter calibration is fundamental for the implementation and operation of a hydrological model. Automatic calibration techniques have been widely studied. However, even the most modern optimization schemes cannot always help us to obtain an optimal parameter set due to high dimensionality of the parameter space and complex interactions between parameters. The main purpose of this study was to test our strategy for automatic parameter calibration: lowering the dimensionality. Our modified Xinanjiang model was selected for study. It consists of 15 parameters controlling data adjustment and representing hydrological processes. Morris’ global sensitivity analysis technique was used to get better understanding about the structure of the parameter space. Parameters were found to have significantly different sensitivities at yearly, monthly and daily temporal scales. Also strong interactions between the parameters were observed at all three scales. A multi-step optimization scheme was designed and tested based on these observations. In this scheme, the 15 parameters are divided into three groups and optimized group by group at the time scale they are most sensitive to by using the SCEM-UA algorithm, a global optimization algorithm. The newly developed scheme is shown to be very efficient and robust.journal articl