We extend Generative Adversarial Networks (GANs) to the semi-supervised context by forcing the discriminator network to output class labels. We train a generative model G and a discriminator D on a dataset with inputs belonging to one of N classes. At training time, D is made to predict which of N+1 classes the input belongs to, where an extra class is added to correspond to the outputs of G. W...

Time perception and inferences there from are of critical importance to many autonomous agents. But time is not perceived directly by any sensory organ. We argue that time is constructed by cognitive processes. Here we present a model for time perception that concentrates on succession and duration, and that generates these concepts and others, such as continuity, immediate present duration, an...

the propose of this paper is to introduce a new model for crude oil fouling in preheat trains of crude distillation unit. the experimental results of australian light crude oil with the tube side surface temperatures between 200-260 oc and fluid velocity ranged 0.25 to 0.4m/s were used. the activation energy of chemical reaction depends on the surface temperature has been calculated.  the model...

A moving model test method based on stagnation pressure measurements is proposed to measure the train aerodynamic drag coefficient. Because the front tip of a high-speed train has a high pressure area and because a stagnation point occurs in the center of this region, the pressure of the stagnation point is equal to the dynamic pressure of the sensor tube based on the obtained train velocity. T...

In this study, a large-eddy simulation (LES) is conducted to investigate meandering airflows generated throughout the underbody of real-shaped train model in open air. our previous was shown by an LES around simplified model. The shape affects flow. However, thus far, no systematic analyses that consider bogies have been conducted. Our experimental results qualitatively reproduced power spectra...

Recent numerical results for a model describing dispersive transport in ricepiles are explained by mapping the model to the depinning transition of an elastic interface that is dragged at one end through a random medium. The average velocity of transport vanishes with system size L as kyl , L22D , L20.23, and the avalanche size distribution exponent t ­ 2 2 1yD . 1.55, where D . 2.23 from inter...

Abstract To obtain improved comprehensive crashworthiness criteria for a B-type subway train, the influence laws of vehicle design collision weight M and empty stroke D on train’s responses were investigated, multi-objective optimization decision-making performed to minimize TS (total compression displacement along moving train) TAMA (the overall mean acceleration train). Firstly, one-dimension...

This paper describes the development and implementation of an optimization model used to resolve disruptions to an operating schedule in the rail industry. Alterations to the existing train timetable and crewing roster are made simultaneously in real time—previous treatments in the literature have always decoupled these two problems and solved them in series. An integer programming model is dev...

Based on cellular automaton and multi-agent model, we propose a novel hybrid model for distributed simulation of train-group in the railway traffic. An improved cellular automaton model is designed for simulating the underlying structure of the railroad and a multi-agent model is used for dynamic scheduling of the train-group. The combination of both models answers for the distributed simulatio...