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The train operation process is highly nonlinear and has multiple constraints and objectives, which lead to higher requirements for the automatic train operation (ATO) system of high-speed train. In this paper, a hybrid Model Predictive Control (MPC) framework is proposed for the controller design of the ATO system. Firstly, a piecewise linear system with state and input constraints is constructed...
In the United States, the buildings sector accounted for about 41% of primary energy consumption in 2010, which was around 44% more than the transportation sector and 36% more than the industrial sector. Real time forecasts for building energy consumption using weather forecasts are crucial for effective building energy management. And the Variable Base Degree Day (VBDD) model has been proven effective...
Visual saliency detection has become a challenging area in computer vision. In this paper, we propose a novel region based saliency detection model which considers background priors. The proposed method consists of two successive steps — region weighting and contrast computing. In the step of region weighting, we calculate the region weight for each region by region-level image feature and a log-linear...
Software reliability growth models (SRGMs) base on NHPP are quite successful. Various NHPP-SRGMs have been built upon various different assumptions, for example, software failure rate, the total number of faults, and the fault detection rate and so on. But in fact, the fault correction rate is not a constan, but a time function. In this paper, we aim to incorporate fault detection rate, the number...
Software reliability growth models base on the NHPP are quite successful tools that have been proposed to assess the software reliability. Various NHPP-SRGMs have been built upon various assumptions such as the number of remaining faults, software failure rate, and software reliability. But in realistic, the number of faults and the detection rate are not constants. They are time functions. In this...
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