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Mobile Ad-hoc networks (MANETs) are increasingly popular with recent advancements in computer and communications technologies. A mobility-based clustering (MBC) protocol for wireless ad hoc network with mobile nodes works well in an energy constrained network environment, where a node elects itself as a cluster-head based on its residual energy and(More)
An improved variational level set method is proposed and applied to road extraction of high-resolution remote sensing images. The new model is a variational level set method which is adapted to extract objects of interest from complex background and is achieved by introducing three terms into GACV (Geodesic-Aided C-V) model The three terms are the target(More)
Anti-Xprobe2 defenses OS fingerprinting detection of Xprobe2 by camouflaging response packets. In this paper, aiming at that the separation of the detection data is achieved using a static data set in the original event separation module, which results in higher false alarm rate, the enhanced An-ti-Xprobe2 is proposed. Event separation module is improved,(More)
In the era of big data, Content-Based Image Retrieval combined with deep learning technology gradually becomes the mainstream. This method can overcome some drawbacks of traditional CBIR, but at the same time there are still some problems to be solved, such as: The extracted feature dimension (generally more than 2000) is higher, which is not beneficial for(More)
– In this paper, we discussed CNF-SAT problem (NP-Complete problem) and analysis two solutions that can solve the problem, the PL-Resolution algorithm and the WalkSAT algorithm. PL-Resolution is a sound and complete algorithm that can be used to determine satisfiability and unsatisfiability with certainty. WalkSAT can determine satisfiability if it finds a(More)
This paper proposes an algorithm for road extraction in high resolution remote sensing images based on mathematic morphology and snake model, which can divide up the area of objective directly from an image and combine with snake model to extract the road. Accordingly, the first step consists in extracting the road area from the high resolution remote(More)
In this paper, we proposed AS<sup>3</sup>C-N algorithm, a method of adaptive semi-supervised spectral clustering based on Nystr&#x00F6;m approximation, and apply it to color image classification. Firstly, Introduction and analysis of spectral grouping using the Nystr&#x00F6;m method are given. compared with NJW spectral clustering, Nystr&#x00F6;m(More)
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