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The load balancing scheduling is the core of the load balancing technology in the cluster system. The actual load of servers will increase suddenly before the load value is updated if many clients link the servers in a short period. A mathematical model of load balancing was improved and an adaptive load balancing optimization scheduling based on genetic algorithm was proposed, analyzed and simulated...
In this paper, inspired by RANSAC and Hough Transform voting procedure, a modified RANSAC algorithm of detection of cylindrical reference target using LRF for positioning system is proposed. Utilizing the orientation-invariant property of the circle, cylindrical shaped bar is chosen as the reference target of the positioning system. The given radius of the cylinder and convex arc shaped contour observed...
A possibilistic fuzzy c-means (PFCM)[1] has been proposed for clustering unlabeled data. It is a hybridization of possibilistic c-means (PCM) and fuzzy c-means (FCM), therefore it has been shown that PFCM is able to solve the noise sensitivity issue in FCM, and at the same time it helps to avoid coincident clusters problem in PCM with some numerical examples in low-dimensional data sets. In this paper,...
Takagi-Sugeno models are an important class of fuzzy rule based oriented models, generally used for prediction and control. Fuzzy clustering is one of effective methods for identification. In this method, we propose to use a fuzzy clustering method (Kernel based fuzzy c-means method) for automatically constructing a multi-input fuzzy model to identify the structure of a fuzzy model. To clarify the...
Clustering is popular used in customer value segmentation in business research. Compared with other clustering methods, the objective clustering analysis can automatically and objectively determine the number of clusters and find out the optimal clustering scheme. This investigation discussed the reasonable evaluation system of value-driven customer segmentation, identified customer behavior using...
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