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Demand-side management (DSM) is an important theme in studies of the Smart Grid and offers the possibility of leveling power consumption with its attendant benefits of reducing capital expenses. This paper develops an algorithmic mechanism that reduces peak total power consumption and encourages prosocial behavior, such as expressing flexibility in one's power consumption and reporting preferences...
Carbide tools are easy to be damaged and quick-wear in the process of high speed machining (HSM) of titanium plates, as it is difficult to predict its working condition accurately. The machining quality requirement of thin wall parts is so high, and the health condition of the cutter is closely related to the quality of processing. Predicting the change of tool health condition is very important to...
User location is crucial in understanding the dynamics of user activities, especially in relating their online and offline aspects. However, users' social media activities, such as tweets sent, do not always reveal their location. We consider the problem of estimating geo-tags for tweets and develop a comprehensive approach that incorporates textual content, the user's personalized behavior, and the...
This paper reports on an ongoing interdisciplinary study of analytic workflow, describing our preliminary understanding and findings as well as some directions for further investigation and validation. Specifically, we exploit knowledge from organizational psychology to develop a computational organizational model. Our proposed organizational model provides a framework to understand the impact of...
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