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For the large interconnected power system, dynamic equivalence could significantly reduce the computing load and manifest the dominant characteristics. Coherent method is one approach of dynamic equivalence and its core is the automatic identification of coherency. Based on the angle perturbed trajectory measured by WAMS, a new coherency recognition method based on Independent Component Analysis is...
In order to simplify the dense data of point cloud efficiently, this paper proposes an algorithm which is quick and easy to simplify the point cloud based on the standard deviation of the normal vector. First of all, the normal distribution have to be calculated after getting the dense point cloud data which has been down sampled. Second of all, calculate the separation threshold value between the...
Hyperspectral image classification is an important part of the hyperspectral remote sensing information processing. The Iterative Selforganizing Data Analysis Techniques Algorithm (ISODATA) clustering algorithm which is an unsupervised classification algorithm is considered as an effective measure in the area of processing hyperspectral images. In this paper, an improved ISODATA algorithm is proposed...
For the modulation identification problem of CDMA2000 1x EV-DO Rev.A reverse data channel in low SNR, this paper proposes a joint identification algorithm based on singular value decomposition and cluster analysis. The algorithm identifies a part of the modulation types by the relation between the spread spectrum period and modulation types. Firstly, the algorithm estimates the spread spectrum period...
Fuzzy clustering techniques, especially Fuzzy C-Means clustering method (FCM), is a popular algorithm widely used in the images segmentation. However, as the conventional FCM doesn't optimize data in feature space and doesn't involve any spatial information, it is sensitive to the noise. In the paper, we presented a novel FCM clustering algorithm based on kernel spatial information to segment the...
In order to speed up the convergence of GrabCut algorithm and enhance the accuracy of segmentation, this paper puts forward an algorithm of GrabCut color image segmentation based on region of interest (ROI). The user selects a ROI by dragging a rectangle. The GrabCut algorithm is used in ROI only. The object is then extracted automatically. The experimental results demonstrate that the new algorithm...
Caption texts in news video highly summarize the related news story and can be used for effective retrieval. This paper presents an effective caption location method based on edge detection and an improved caption segmentation method combined with Otsu and K-means clustering algorithm. Experiment results show that the caption location method performs well in the news video and the caption segmentation...
Traditional Top-N strategy for movie recommendation takes only users' ratings into account when mining users' needs or interests. But watching movie is a special behavior, in which users' interests should not just be represented by their ratings. We think that the decision to watch a movie also reflects the target users' needs, even though he or she may give it a low rating. In this paper, we introduce...
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