We present a method to recognize a complicated curved object from an image contour. We are developing a system that automatically measures train wheel abrasion from its contour image. Because a train wheel consists of a curved surface, the transformation of the image contour due to position variation affects the measurement accuracy. The 3D shape model of the train wheel is analyzed to compute ...

as functional integration has increased in hand-held consumer devices features such as global positioning system (gps) receivers have been embedded in increasingly more devices in recent years. for example, the train positioning system based on gps provides an integrated positioning solution which can be used in many rail applications without a cost intensive infrastructure. the network built i...

Train control technology enhances the safety and efficiency of railroad operation by safeguarding the motion of trains to prevent them from leaving designated areas of operation and colliding with other trains. It is crucial for safety that the trains engage their brakes early enough in order to make sure they never leave the safe part of the track. Efficiency considerations, however, also requ...

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With the impact of global internationalization, tourism economy has also been a rapid development. The increasing interest aroused by more advanced forecasting methods leads us to innovate forecasting methods. In this paper, the seasonal trend autoregressive integrated moving averages with dendritic neural network model (SA-D model) is proposed to perform the tourism demand forecasting. First, ...

Train pathing is a typical problem which is to assign the train trips on the sets of rail segments, such as rail tracks and links. This paper focuses on the train pathing problem, determining the paths of the train trips in emergencies. We analyze the influencing factors of train pathing, such as transferring cost, running cost, and social adverse effect cost. With the overall consideration of ...

This study presents an artificial neural network (ANN) model to predict the values of the longitudinal dispersion coefficient ) ( l D in rivers from their main hydraulic parameters. The model can be considered as a useful aid to water quality monitoring in rivers. The ANN model is a relatively new promising technique which can make use of the river width, depth, velocity, and shear velocity for...

In this work, autoregressive switching-Markov models (ARHMM) are applied to the dengue fever epidemics (DF) in La Havana (Cuba). This technique allows to model time series which are controlled by some unobserved process and finite time lags. A first experiment with real data of dengue is performed in order to obtain the characterization of different stages of the epidemics. The aim of this work...