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Automatic vehicle classification is crucial to intelligent transportation system, especially for vehicle-tracking by police. Due to the complex lighting and image capture conditions, image-based vehicle classification in real-world environments is still a challenging task and the performance is far from being satisfactory. However, owing to the mechanism of visual attention, the human vision system...
In this paper a deep reinforcement learning (DRL) method is proposed to solve the control problem which takes raw image pixels as input states. A convolutional neural network (CNN) is used to approximate Q functions, termed as Q-CNN. A pretrained network, which is the result of a classification challenge on a vast set of natural images, initializes the parameters of Q-CNN. Such initialization assigns...
This paper presents a visual attention based convolutional neural network (CNN) to solve the image classification problem in the real complex world scene. The presented method can simulate the process of recognizing objects and find the area of interest which is related with the task. Compared with the CNN method in image classification, the model is proficient in fine-grained classification problem...
Urban traffic congestion has already become an urgent problem. Artificial societies, Computational experiments, and Parallel execution (ACP) method is applied to urban traffic problems. In ACP framework, optimization for urban road networks achieves remarkable effect. Optimization for urban road networks is a problem of nonlinear and non-convex programming with typical large-scale continual and integer...
Traditional mass production of cell phone manufacturers can not meet customer requirements and market competition needs. Mass customization becomes a main production mode. This paper introduce a mass customization mode for cell phone which has a lot of advantages such as reasonable cost, high quality, customized products, high efficiency, short product life cycle and so on. Under this model, this...
In the production of stereoscopic video, there are some color differences between different views. In this paper, a color correction method based on decorrelation color space is proposed. Image features from the reference image and original image are first extracted by Harris algorithm, and Normalized Cross-Correlation algorithm (NCC) is used to find the corresponding match points of the images. Then...
With the development of rapid prototype 3D printing technology, social manufacturing era is coming too. The paper mainly introduces the framework of social manufacturing, which is able to perceive and influence the customers and satisfy the demand of mass customization. Under the framework, an evaluation system for garment enterprises is proposed to select the best supplier based on AHP and fuzzy...
This paper presents an effective solution to track the maximum power and improve the security of small scale wind power system, aiming to optimize the efficiency of wind energy conversion and connecting wind generators to the electrical grid. The controller of the generation system used Perturbation Method of duty cycle to facilitate the construction of control algorithm, and improved its robustness...
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