To investigate search ranking method for providing good service to users, the original PageRank algorithm model was studied to describe the hyperlink relationship based on Web pages. It was computed with a single vect...
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As an important aspect in video content analysis, event detection is still an open problem. In particular, the study on detecting interactive events in crowd scenes is still limited. In this paper, we investigate dete...
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Non invasion estimating of Central Aortic blood Pressure (CAP) is still a hard problem. Through tenyears clinical research plan (CAFE, Conduit Artery Functional Endpoint) on CAP, CAP is a vital sign to evaluate human&...
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Geometric constraint problem is equivalent to the problem of solving a set of nonlinear equations substantially. The constraint problem can be transformed to an optimization n problem. We can solve the problem with Ge...
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Computation of the optical flow from a sequence of images remains open in the community of computer vision. Two classical models for this problem are the global smoothness algorithm proposed by Horn- Schunck and the o...
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Spike sorting is the essential step in analyzing recording spike signals for studying information processing mechanisms within the nervous system. Overlapping is one of the most serious problems in the spike sorting f...
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In order to solve how to enhance the discovery efficiency and coverage, based on DHT (Distributed Hash Table) and Small World Theory, we put forward a new algorithm of service discovery for mobile application. In trad...
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To improve the mobile applications under the banner of the Internet of Things, we propose and design a new kind of Web-based method of seamless migration. The method can ensure the media seamless migration fast, smoot...
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To improve the mobile applications under the banner of the Internet of Things, we propose and design a new kind of Web-based method of seamless migration. The method can ensure the media seamless migration fast, smoothly and correctly. Implemented method will better solve the migration of media on the application layer of mobile application. Tests have shown our suggested seamless migration strategies are effective. This method will serve universal Web-based mobile application.
Computation of the optical flow from a sequence of images remains open in the community of computer vision. Two classical models for this problem are the global smoothness algorithm proposed by Horn-Schunck and the or...
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Computation of the optical flow from a sequence of images remains open in the community of computer vision. Two classical models for this problem are the global smoothness algorithm proposed by Horn-Schunck and the oriented smoothness algorithm by Nagel and Enkelmann. In order to increase the accuracy of motion discontinuity, we propose a new optical flow model which incorporates the harmonic smoothness constraint borrowed from the harmonic gradient vector flow (HGVF) model into the oriented smoothness constraint. In particular, we combine the curl term of the harmonic constraint with the oriented smoothness to control the direction of the displacement vectors together and introduce two spatially varying weighting functions to control the above-mentioned two terms. The benefit of the suggested strategies is illustrated qualitatively on the synthetical image and quantitatively on the Middlebury optical flow benchmark. Compared with the classical Horn-Schunck and Nagel-Enkelmann methods, this method can provide more accurate estimation of optical flow around motion discontinuities.
The control of network congestion has become a hot spot in the study of Internet of Things transmission service. Considering the complicated and integrated network environment that the Internet of Things to face in th...
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The control of network congestion has become a hot spot in the study of Internet of Things transmission service. Considering the complicated and integrated network environment that the Internet of Things to face in the future, the paper comes up with control algorithm of self-adapting congestion based on semi-normal distribution, this algorithm has improved the original packet loss rate function, and conduct corresponding control over network situation categorized according to the length of queue. The result of experiment shows that the algorithm of self-adapting congestion control based on semi-normal distribution is adapt to the complicated changing congestion situation in Internet of Things.
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