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This paper proposes a framelet-based convex optimization model for multiplicative noise and blur removal problem. The main idea is to employ framelet expansion to represent the original image and use the variable decomposition to solve the problem. Because of the nature of multiplicative noise, we decompose the observed data into the original image variable and the noise variable to obtain the resulting...
For image segmentation, methods based on Markov random field (MRF) have been widely used due to the capability of incorporating contextual information into account. Among these methods, the recently proposed Triplet Markov fields (TMF) model enhances the image nonstationary modeling by introducing an auxiliary field. According to the introduced auxiliary field, TMF can partition the nonstationary...
To achieve four goals of energy safety assurance, sustainable development, low-carbon environment and avoiding price volatility of fossil fuels, a new energy policy was announced by the government of Taiwan in November 2011. Also, the Government will actively fulfill the carbon reduction target and electricity stable supply policy under three major principles of reaching international carbon reduction...
For traditional Automated Mechanical Transmission (AMT), the power is cut off while shifting, which results in shifting jerk and longer shifting time. In this paper, the integrated powertrain used in the EV is put forward, which includes the motor and the AMT, this integrated powertrain can control the motor speed and the AMT together. Then it analyzes the shifting process, and does some research...
Traffic flow is a fundamental measure in transportation. Accurate traffic flow prediction also is crucial to the development of intelligent transportation systems and advanced traveler information systems. A novel multiscale wavelet support vector regression method (MW-SVR) is proposed for traffic flow prediction. Based on wavelet multi-resolution analysis, a scaling kernel function with multi-resolution...
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