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A time-frequency pooled angular spectrum capable of suppressing spatial aliasing effectively is studied for a widely spaced microphone array to estimate multi-source directions of arrival (DOA) in a reverberant environment based on diffuse noise model and time-frequency sparsity of acoustic signals. By using constant false-alarm rate (CFAR) detection technique, only the high-valued elements very likely...
This paper proposes a new feature, optical flow context histogram (OFCH) for detecting abnormal events, especially the fighting violence events from a live camera stream. The optical flow context histogram is a log-polar histogram system which combines the histogram of orientation and magnitude of optical flow together. The human action is represented by using the histogram sequence of orientation...
A main challenge for texture analysis is to construct a compact texture descriptor which is not only highly discriminative to intra-class textures, but also robust to inter-class variations, geometric and photometric changes. In this paper, a new texture descriptor is developed by integrating the local affine-invariant texture features and the global viewpoint-invariant statistics. Based on the pixel...
In this study, we measure, model and analyze characteristics of traffic flows of P2P application Maze by capturing real traffic from an operational network. Maze is a P2P file-sharing system with a centralized, cluster-based search engine and a social network among peers. We report the models for flow arrival interval, flow size, flow duration and flow rate of Maze traffic flows. With the growing...
Recently, peer-to-peer (P2P) applications have generated the majority of Internet traffic. In this study, we model and analyze characteristics of P2P traffic flows by measuring real P2P application data captured from operational network. With lognormal mixture distribution and lognormal distribution, we get accurate statistical models for flow size and flow duration of Maze application traffic. We...
The on-site partial discharge (PD) monitoring is the most powerful method to detect insulation faults in electrical power components, but it is often severely affected by external interferences. This paper designs two algorithms for automatic detection and suppression of white noise interferences (WNI) and repetitive pulse interferences (RPI) in PD monitoring separately. The first algorithm for WNI...
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