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The key for clustering high dimensional data streams is finding dense units. Traditional methods apply frequent itemsets mining for finding dense units. Since these methods are not able to differentiate the density of units in subspaces with different dimensions, it is not in favor of finding dense units in the sparse subspace or the higher-dimension subspace. In this paper, we propose an algorithm,...
In order to distribute web documents reasonably and improve the performance of clustered web servers, a distributing strategy based on web log mining is presented on this paper. The strategy is established in web users' accessing mode, which obtained from web log. Web documents are divided into groups by using data mining methods as clustering, which is based on the distribution is carried out, along...
The traffic sign detection problem is investigated in this paper. A segmentation method for traffic sign image in HSV color space is presented for the detection of prohibition sign, warning sign and mandatory sign. First, the image is pre-segmented by H and S components with threshold value in HSV space. Second, the regions that their area and the ratio of width and height are outside the threshold...
Driving fatigue detection is a key technique in vehicle active safety. In this paper, a practical driver fatigue detection algorithm is proposed, it employs sequential detection and temporal tracking to detect human face, which combines the superiorities of both Adaboost and mean-shift algorithm; a morphologic filter method is given to localize the pair of eyes in the detected face area. Then multiple...
In this paper we construct a new class of nonlinear chaotic maps for secure cryptosystems. These maps can overcome the security holes brought by the ldquopiecewise linearityrdquo of the previous piecewise linear chaotic maps (PWLCM) due to a fact that the chaotic sequences generated by the derived iterative system based on the proposed maps are proved to have perfect dynamic properties, such as uniform...
The research on distributed intrusion detection system (DIDS) is a rapidly growing area of interest because the existence of centralized intrusion detection system (IDS) techniques is increasingly unable to protect the global distributed information infrastructure. Distributed analysis employed by agent-based DIDS is an accepted fabulous method. Clustering-based intrusion detection technique overcomes...
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