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SEM is a burgeoning multivariate data analysis method. ARMA is one of the most widely used model about time series data. This paper compare the mathematical model about the SEM and ARMA model, and find they are similar. So we can process ARMA model with SEM.
Building evacuation in case of emergency events such as fire and smoke has long been recognized as a crucial issue. Stair is the main egress, whether the staircases meet the criterion of building safety is thus important. But it is difficult or even impossible to test staircases in actual emergency events. In view of this, simulation is a proper method, and how to improve evacuation simulation in...
Topic evolution is an important research task for Topic Detection and Tracking (TDT), studying how the topics evolve over time on textual data. On the web forum, topics are often interactive, which means that new topics emerge and old ones decay and the number of topics is always in a dynamic change. This paper presents an on-line adaptive topic evolution model based on Latent Dirichlet Allocation...
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