Microgrid is a new power system concept consisting of small-scale distributed energy resources; storage devices and loads. It is necessary to employ a simplified model of microgrid in the simulation of a distribution network integrating large-scale microgrids. Based on the detailed model of the components, an equivalent model of microgrid is proposed in this paper. The equivalent model comprise...

The work proposed here will investigate innovative approaches to the use of distributed high performance computing (HPC) resources for scientific and engineering simulations. This work is motivated by the expectation that within a few years the primary method of accessing HPC machines will be through sophisticated problem-solving environments (PSEs). A PSE is a complete, integrated software env...

The systems modeling methodology of system dynamics is well suited to address the dynamic complexity that characterizes many public health issues. The system dynamics approach involves the development of computer simulation models that portray processes of accumulation and feedback and that may be tested systematically to find effective policies for overcoming policy resistance. System dynamics...

In the intelligent traffic system, vehicle recognition is always a hot topic. However, because the environment is easily influenced by the light, the weather, the shadow and the noise. It’s difficult to get ideal vehicle segmentation effect. This paper studies the existing background modeling algorithm and proposes a vehicle recognition method based on multi-scale of Gauss background modeling. ...

In modern video surveillance systems change and outlier detection is of highest interest. Most of these systems are based on standard pixel-by-pixel background modeling approaches. In this paper, we propose a novel robust blockbased background model that is suitable for outlier detection using an extension to on-line boosting for feature selection. In order to be robust our system incorporates ...

In this assignment we are going to implement a parallel MapReduce version of a popular topic modeling algorithm called Latent Dirchlet Allocation (LDA). Because it allows for exploring vast document collection, we are going to use this algorithm to see if we can automatically identify topics from a series of Tweets. For the purpose of this assignment, we are going to treat every tweet as a docu...

Tracking moving objects in videos with quasi-stationary backgrounds is one of the most important and challenging tasks in video processing applications. In order to detect moving foreground regions in such videos the background and its changes should be modeled to help detecting moving regions of interest. Support Vector Data Descriptors (SVDD) can be employed in order to analytically model the...

Background modeling is important in video surveillance for extracting foreground regions from a complex environment. In this paper, we present a novel background modeling technique based on a special type of Markov Chain. The method is a substantial extension to the existing background subtraction techniques. First, a background pixel is statistically modeled by a linear regressive Gamma Markov...

The existing video coding standard H.264 could not provide expected rate-distortion (RD) performance for macroblocks (MBs) with both moving objects and static background and the MBs with uncovered background (previously occluded). The pattern-based video coding (PVC) technique partially addresses the first problem by separating and encoding moving area and skipping background area at block leve...

This paper presents a novel background model for video surveillance—Spatio-Temporal Patch based Background Modeling (STPBM). We use spatio-temporal patches, called bricks, to characterize both the appearance and motion information. Our method is based on the observation that all the background bricks at a given location under all possible lighting conditions lie in a low dimensional background ...