Discovering patterns and detecting anomalies in individual travel behavior is a crucial problem both research practice. In this paper, we address by building probabilistic framework to model spatiotemporal data (e.g., trip records trajectory data). We develop two-dimensional latent Dirichlet allocation (LDA) characterize the generative mechanism of each traveler. This introduces two separate fa...

In present paper, dynamic behavior and control of a fluidized bed reactor for polyethylene production has been considered. A double active sites model for Ziegler-Natta catalysts is used for simulation of polymerization reaction. Hydrodynamic behavior of the bed is modeled using a two phase model including bubble and emulsion phases in which bubble phase has plug flow pattern with different...

s of Selected Publications User Behavior Pattern Discovery for Security Enhancement Knowledge-driven User Behavior Pattern Discovery for System Security

Gas motion within the cylinder is one of the major factors that control the combustion process in spark ignition engine. It also has significant impact on heat transfer. Both the bulk gas motion and the turbulence characteristics of the flow are important and governing the overall behavior of the flow. An arrangement for obtaining a stratified charge, using port injection, is proposed for a ...

Temporal pattern provides a novel way to character user behavior in social network from the perspective of time. In this work, we study two types of temporal pattern of user behavior in Micro-blog: Long Term Pattern and Daily Pattern. Long Term Pattern stands for the overall trend of user behavior changes since one starts to use Micro-blog and it provides the global view of user behavior variat...