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In the SAR image, the road recognition is conducive to the SAR image interpretation using in traffic monitoring, GIS information, and Geographical mapping, but the road is difficult to extract for blurring by speckles. Based on mathematical morphology, a new road extraction method is proposed in this paper. After the pre-processing to reduce the influence of the speckles, the binary image information...
Existing algorithms of mining preferred browsing paths just consider the influence of user visiting times, but ignore the accuracy influenced by other factors. In order to solve the problem, an improved algorithm which imports page similarity and support-preference concepts is proposed. Firstly a Web-log-based user access matrix is set up. Then by calculating the angel cosine similarity and support-preference,...
SaaS (Software as a Service) is becoming a popular research field for its feature of novel schema in software development. In this schema, service providers are in charge of constructing, managing and maintaining the necessary IT supporting infrastructure and the platform for operating services, while tenants take use of the customization functions to cement their own individual applications on the...
DC power distribution network is widely used in long-distance and large-capacity transmission, undersea transmission, and interconnection system for its small system loss and high controlled characteristic. The fault current limiter (FCL) takes a very important part in the DC distribution system. Since there is no natural zero crossing point of the current in DC system, it is more difficult to limit...
This paper proposes an efficient shape reconstruction method from sectional data in 3-axis Numerical Control (NC) machining. A merge-divide algorithm is proposed to construct triangle meshes for machined surfaces with arbitrary shape and genus. The algorithm is of linear complexity due to the special property of the NC data. The method is used to interference detection and space cutter compensation...
In this paper, a new clustering algorithm is proposed for blog data clustering. Considering the structure information of text blocks in blog data, we group the features of blog data into three groups and extend the k-means clustering algorithm to automatically calculate a weight for each feature group in the clustering process. We introduce a new objective function with group weight variables and...
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