This paper describes a smart method to model bobsleigh track surface. On real bobsleigh tracks, the cross-sectional
shape is generally rectangular in the strait section, and in contrast, circular and banked in the curve section. In the first
step, three-dimensional shapes of track surface are generated automatically based on these two kinds of cross-sectional
shapes along the track centerline. In the second step, the most suitable parameters of track surface modeling, which
consist of triangular patches is decided by evaluating the smoothness of sliding in dynamic simulation with Unity.
The documents of the government-general of Taiwan recorded from 1895 to 1945 contain the whole of Japanese official documents before the end of the WW2, and have great historic value. The characters in the documents, however, are illegible because they were written by hand with a brush. It is labor-intensive work for historians or scholars to understand the documents. We propose a method for character recognition of these documents by using a convolutional neural network and also conduct to solve the problem of imbalanced learning data. Experimental results show that the top-1 and the top10 accuracies were 89.48% and 98.10%, respectively.
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