A series of polyester, cotton, and polyester/cotton blend fabrics were evaluated in a subjective wear. Subjective trial data were correlated with the results of in-house laboratory tests with the regression methods. E...A series of polyester, cotton, and polyester/cotton blend fabrics were evaluated in a subjective wear. Subjective trial data were correlated with the results of in-house laboratory tests with the regression methods. Experimental results indicate that clothing-comfort assessment by human perception provides a sound basis for comparison of apparel garments under combined microclimates and human-activity levels of展开更多
For a domestic personal robot, personalized services are as important as predesigned tasks, because the robot needs to adjust the home state based on the operator's habits. An operator's habits are composed of...For a domestic personal robot, personalized services are as important as predesigned tasks, because the robot needs to adjust the home state based on the operator's habits. An operator's habits are composed of cues, behaviors, and rewards. This article introduces behavioral footprints to describe the operator's behaviors in a house, and applies the inverse reinforcement learning technique to extract the operator's habits, represented by a reward function. We implemented the proposed approach with a mobile robot on indoor temperature adjustment, and compared this approach with a baseline method that recorded all the cues and behaviors of the operator. The result shows that the proposed approach allows the robot to reveal the operator's habits accurately and adjust the environment state accordingly.展开更多
This research analyzes the role of public service in the political networks. The status of civil servants in these networks is not obvious. On the one hand, the officials are surrounded by strict framework of regulati...This research analyzes the role of public service in the political networks. The status of civil servants in these networks is not obvious. On the one hand, the officials are surrounded by strict framework of regulations and law. They are not independent subjects of political decisions, but at the same time, they are the main sources of information needed for making political decisions. On the other hand, they actively interact with other actors of the political networks, including under informal conditions. In addition, high professional requirements for officials lead to the need of recruiting them into the elitist environment. Therefore, there often arises a conflict of interest due to their personal connections. Activating these links, officials are building patron-client relations, behaving as patrons for those who need to receive confidential information and as clients for the higher heads. Thus, civil servants use personal networks for carrying out their functions, and simultaneously use available official information for private gain.展开更多
文摘A series of polyester, cotton, and polyester/cotton blend fabrics were evaluated in a subjective wear. Subjective trial data were correlated with the results of in-house laboratory tests with the regression methods. Experimental results indicate that clothing-comfort assessment by human perception provides a sound basis for comparison of apparel garments under combined microclimates and human-activity levels of
基金supported in part by Hong Kong RGC GRC (CUHK14205914 and CUHK415512)
文摘For a domestic personal robot, personalized services are as important as predesigned tasks, because the robot needs to adjust the home state based on the operator's habits. An operator's habits are composed of cues, behaviors, and rewards. This article introduces behavioral footprints to describe the operator's behaviors in a house, and applies the inverse reinforcement learning technique to extract the operator's habits, represented by a reward function. We implemented the proposed approach with a mobile robot on indoor temperature adjustment, and compared this approach with a baseline method that recorded all the cues and behaviors of the operator. The result shows that the proposed approach allows the robot to reveal the operator's habits accurately and adjust the environment state accordingly.
文摘This research analyzes the role of public service in the political networks. The status of civil servants in these networks is not obvious. On the one hand, the officials are surrounded by strict framework of regulations and law. They are not independent subjects of political decisions, but at the same time, they are the main sources of information needed for making political decisions. On the other hand, they actively interact with other actors of the political networks, including under informal conditions. In addition, high professional requirements for officials lead to the need of recruiting them into the elitist environment. Therefore, there often arises a conflict of interest due to their personal connections. Activating these links, officials are building patron-client relations, behaving as patrons for those who need to receive confidential information and as clients for the higher heads. Thus, civil servants use personal networks for carrying out their functions, and simultaneously use available official information for private gain.
