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Aiming at the problem that the dynamic arrival of the virtual network requests in the wireless network environment leads to the unbalanced allocation of the substrate network resources and the low acceptance rate of the subsequent requests, a topology-aware wireless virtual network embedding algorithm (WVNEA-TA) is proposed. By analyzing the dynamic topological attributes of the virtual network and...
Subspace selection is widely applied in data classification, clustering, and visualization. The samples projected into subspace can be processed efficiently. In this paper, we research the linear discriminant analysis (LDA) and maximum margin criterion (MMC) algorithms intensively and analyze the effects of scatters to subspace selection. Meanwhile, we point out the boundaries of scatters in LDA and...
Identification of DNA signatures is an important application which has been empowered by the increasing availability of thousands of bacterial and viral genomes through the next-generation sequencing (NGS) technologies. It is computationally challenging. In exploration for the solution, the suffix tree has been proposed as a data structure well suited to analyzing genomic sequences because it enables...
The Non-uniform rational B-spline (NURBS) is widely used in CAD/CAM/CNC. The NURBS interpolation is crucial for an advanced CNC system compatible with NURBS. Classic NURBS interpolation algorithms always do not well consider both the contour precision and feedrate smoothness. This paper proposes a NURBS interpolation algorithm based on the feedrate sensitive points identification. The feedrate sensitive...
The grid method of global path planning is widely used on mobile robots. We introduce a new algorithm of the grid method based on main directions of the gird map to improve the performance of this approach. Specifically, we conduct experiments to demonstrate its positive effect through reducing the number of nodes for test in global path planning. The results obtained from such experiments prove this...
The R*-tree, as a state-of-the-art spatial index, has already been applied in many fields. But in high-dimensional space its performance is not better than sequential scan algorithm. To solve time-series retrieval problem, we introduce a new index structure - Hierarchical Index Tree. Each time-series of database is divided into several segments with same length, each segment of which corresponds to...
The problem of similarity measure for time series has attracted considerable research interest. Most of the recently used algorithms utilize the Dynamic Time Warping (DTW) distance for measuring the similarity of time series, in various areas such as science, medicine, industry, and finance. DTW is a considerably more robust distance measure for time series, which allows similar shapes to match even...
Nowadays, the services on the World Wide Web (WWW) are proliferating dramatically. The relationships of invoking among these services are becoming more and more complicated. The performances of traditional automated service composition methods suffer from the complexity of the service composition problem. Hence it is hardly to apply these automated methods in real cases. Semi-automated service composition...
Previous wrappers of information extraction are mostly set for the web page which has one information block, so they are unable to deal with the multiple information blocks web page. Because of the adapt ability of the above mentioned shortcomings, this paper proposes a multiple wrappers information extraction method based on tree model. It will generate a wrapper for every block using the Tree-Align...
Dimensionality reduction is among the keys in many fields, most of the traditional method can be categorized as local or global ones. In this paper, we consider the dimension reduction problem with prior information is available, namely, semi-supervised dimension reduction. A new dimension reduction method that can explore both the labeled and unlabeled information in the dataset is proposed. The...
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