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Rail health monitoring plays an important role in the railway system, and how to accurately obtain the rail state is very significant for the railway safety. This paper proposes an improved method of rail health monitoring based on convolutional neural network (CNN) and probability analysis of multiple acoustic emission (AE) events. By tensile testing machine, AE signals with safe and unsafe states...
In this paper, we proposed a novel texture-mapping method for buildings using remote sensing images and digital surface model. For generating better 3D map, boring manually or semi-automatic texture-mapping of buildings is always needed. However, only with remote sensing images and digital surface model, it is difficult to generate ‘sides’ of buildings, and corresponding relation between triangular...
In order to detect the health status of high-speed railway, various studies have been examined by Acoustic Emission (AE) method. However, little work has been done on studying the relationship between rail status and features of AE signals, and this relationship can be used to establish a detection criterion for rail health monitoring. This paper presents a methodology on rail health monitoring by...
A subject’s sensitivity to a stimulus variation can be studied by estimating the psychometric function. Generally speaking, three parameters of the psychometric function are of interest: the performance threshold, the slope of the function, and the rate at which attention lapses occur. In the present study, three psychophysical procedures were used to estimate the three-parameter psychometric function...
In the past decade, computer games have been gradually seen as one of effective teaching methods and environments, and they have been widely applied in various fields. The purpose of this case study was to investigate the usability of the computer Game, Crazy Machines 2, as a digital game-based learning material through heuristic evaluation to ascertain whether the game conform to interface design...
Particle swarm optimization (PSO) algorithm is a new random global optimization algorithm, and the simple PSO (SPSO) is short of high convergence speed, strong optimization ability and so on. To improve the optimization property of SPSO, a novel chaos particle swarm optimization (CPSO) algorithm is presented. The characteristics of ergodicity and randomness of chaotic variables are considered to produce...
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