This paper describes development of a train simulator for human factors, and application of functional near-infrared spectroscopy (fNIRS) to estimation of drivers' brain activities during train operation.
In order to avoid human errors in train operation, it is considered that driving support systems or the like should be developed in consideration of human properties.
Using the method for calculating the transmission ratio of planet gear train, the relationship of the two oscillating angle between output axis and the bracket is established.
To find the motif features and the effect on siRNA activity, we carried out a feature extraction on some published experimental data and used these features to train a back-propagation neural network (BP NN).
During PS the patient had frequent Nystagmoid REMs with alternating leftward slow/rightward fast phases and reported dreams with visual events evoking corresponding OKN such as a train running leftward.
A central feature of this experiment is the development of a sample geometry with which we can restrict the breakdown behavior to a single, localized flux-tube train running perpendicular to the transport current.