Color transfer aims to change the color information of the target image according to the reference one. Many studies propose color transfer methods by analysis of color distribution and semantic relevance, which do not take the perceptual characteristics for visual quality into consideration. In this study, we propose a novel color transfer method based on the saliency information with brightness optimization. First, a saliency detection module is designed to separate the foreground regions from the background regions for images. Then a dual-branch module is introduced to implement color transfer for images. Finally, a brightness optimization operation is designed during the fusion of foreground and background regions for color transfer. Experimental results show that the proposed method can implement the color transfer for images while keeping the color consistency well. Compared with other existing studies, the proposed method can obtain significant performance improvement. The source code and pre-trained models are available at https://github.com/PlanktonQAQ/SCTNet.

In recent years, green product issues have received increasing attention. Both government regulations and consumer behaviors have a strong influence on the product green degree decisions of manufacturers’ products. In order to find how government regulations and individual’s green product purchase behavior affect manufacturers’ green degree decisions and the market evolution characteristics, this paper proposes a multiagent model that considers the interaction among government, consumers, and manufacturers. The simulation results show that, firstly, the product green degree decision‐making of manufacturers needs the guidance and regulation of the government. Secondly, product price subsidies are the most effective way to affect the manufacturers’ product green degree decisions. In contrast to giving green cost subsidies to manufacturers, the government employs various publicity means to improve the environmental awareness of consumers is also an effective way to enhance the green degree of manufacturers’ products. Thirdly, there is a “Crowding Out Effect” on the other qualities of manufacturers’ products when manufacturers focus on the green degree of their products.

Summary As the network gradually penetrates into all aspects of life, the transportation system as the most network‐specific field, its security management issues need to be innovative from the traditional aspects. Therefore, this paper attempts to analyze the traffic network from the perspective of vulnerability. First, starting from the conceptual framework of vulnerability, the process of the concept of vulnerability is gradually complicated. At the same time, the main points of vulnerability analysis at each level are defined. Secondly, the analysis model is constructed on two aspects of network vulnerability: station and community. The concept of station vulnerability, which is similar to the traditional vulnerability analysis, is proposed in this paper. Considering the interrelationship between the indicators, the ANP method is used to construct the evaluation model. However, in the community area, the concept of regional vulnerability is proposed, which is based on the community structure of complex networks. Finally, the actual vulnerability analysis was carried out with the Beijing Subway as an example. The result of the calculation not only can obtain important stations that need to be controlled but also divide the lines in the network structure into suitable communities. This improves the collaboration between the subway system and other functional entities in society.