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Understanding and predicting destination of a trip is a crucial component of location based services. Traditional destination prediction work mostly focus on mining mobility patterns from frequently been locations. However, location transition patterns are not regular enough to provide favorable predicting results. Meanwhile, it could only be used when a user has enough movements in a location. In...
GPS-based activity recognition is extremely important for high-level analysis and location based services. Trajectories of people are highly imbalanced from spatial and temporal perspectives. Many existing researches achieve good results on recognizing activities with lots of GPS logs, such as working and staying at home. However, these approaches usually fail at activities with few trajectory records...
Node localization which is determining where a given node is physically or relatively located is extremely crucial for most of the applications in wireless sensor network. In this article, we review and describe the taxonomy and fundamental localization methods. The current research in WSN localization algorithms are introduced, analyzed and concluded. The point is that no single algorithm performs...
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