In this paper, the fast multipole method (FMM) combined with higher-order basis function method based on the best uniform approximation theory is applied to solve scattering problems of perfectly electrical conduct (P...
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Fall detection is an important problem in the application research of video surveillance. Quick and effective ways of getting the information of the people falling to the ground can help the people get timely assistan...
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Fall detection is an important problem in the application research of video surveillance. Quick and effective ways of getting the information of the people falling to the ground can help the people get timely assistance to reduce further injury. This paper proposes an improved algorithm of automatic fall detection. Three features — human aspect ratio, effective area ratio and center variation rate are used in the proposed algorithm, which can effectively prevent misjudgments and greatly increase the accuracy of detection results. This algorithm has a less computing complexity and is easy to implement. Experimental results show that the algorithm has good robustness.
DNA sequence design has a crucial role in successful DNA computation,which has been proved to be an NP-hard(non-deterministic polynomial-time hard) *** this paper,a membrane evolutionary algorithm is proposed for the ...
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DNA sequence design has a crucial role in successful DNA computation,which has been proved to be an NP-hard(non-deterministic polynomial-time hard) *** this paper,a membrane evolutionary algorithm is proposed for the DNA sequence design *** results of computer experiments are reported,in which the new algorithm is validated and out-performs certain known evolutionary algorithms for the DNA sequence design problem.
Fall detection is an important problem in the application research of video surveillance. Quick and effective ways of getting the information of the people falling to the ground can help the people get timely assistan...
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Fall detection is an important problem in the application research of video surveillance. Quick and effective ways of getting the information of the people falling to the ground can help the people get timely assistance to reduce further injury. This paper proposes an improved algorithm of automatic fall detection. Three features — human aspect ratio, effective area ratio and center variation rate are used in the proposed algorithm, which can effectively prevent misjudgments and greatly increase the accuracy of detection results. This algorithm has a less computing complexity and is easy to implement. Experimental results show that the algorithm has good robustness.
In this paper, we present a novel idea to solve maximum flow problem in the directed networks. Given a directed flow network which we call original network here, we propose a method of Contracting Neighbor-node-set Ap...
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Privacy-Preserving Computational Geometry (PPCG) is a special Secure Multi-party Computation, which is a hot research in information security. This paper presented a special PPCG problem of secure two-party computing ...
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Based on adaptive filtering and retinex method, this paper presents a novel algorithm for Enhancement of hand vein images. First of all, the principle of the near-infrared hand vein image acquisition is introduced. Se...
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Based on adaptive filtering and retinex method, this paper presents a novel algorithm for Enhancement of hand vein images. First of all, the principle of the near-infrared hand vein image acquisition is introduced. Secondly, the retinex method is used to normalize hand vein images, and the adaptive smoothing method is selected to estimate the illumination. Thirdly, Gray cosine transform is used to enhance the discrimination of the skin and the vein in hand vein images. Finally, a determination criterion of hand vein is established to remove the false vein blocks from the segmented hand vein images. We developed a hand vein recognition system in Microsoft VC6.0 and the experimental results demonstrate the high efficiency of the proposed algorithm in runtime and correct recognition rate.
Fuzzy soft set (FSs) is a novel mathematical tool, in order to describe and measure uncertain information of FSs perfectly, granularity analysis based on covering about FSs is originally discussed in this paper. First...
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In this paper, we propose a novel method named Contracting Community Approach (CCA) to get the maximum flow of flow network. Firstly, we contract communities in the original network. Then, we apply classic algorithms ...
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In this paper, we propose a novel method named Contracting Community Approach (CCA) to get the maximum flow of flow network. Firstly, we contract communities in the original network. Then, we apply classic algorithms on the contracted network to approximately solve the maximum flow problem. Experimental results show that the efficiency of the proposed algorithm. For sparse networks, the size of network is reduced to 58.38% averagely and the correctness of maximum flow is over 95%. For middle dense networks, the size of network is reduced to 65.77% averagely. For dense networks, the size of network is reduced to 64.84% averagely. And the correctness of maximum flow even reach 100% both in many middle dense and dense cases in our experiments.
In allusion to the phenomenon of stagnation and precocity during evolution in ant colony optimization (ACO) algorithm, this paper proposed a dual population parallel ant colony optimization (DPPACO) algorithm, which w...
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In allusion to the phenomenon of stagnation and precocity during evolution in ant colony optimization (ACO) algorithm, this paper proposed a dual population parallel ant colony optimization (DPPACO) algorithm, which was applied to the traveling salesman problem. The DPPACO algorithm separated the ants into soldier ant population and worker ant population which evolve separately by parallel method and exchanges information timely. The dynamic equilibrium between solution diversity and convergence speed is achieved by using the effect of the soldier ant's distribution to worker ants' movement choice. The DPPACO algorithm can enlarge searching range and avoid local minimum, prevent local convergence caused by misbalance of the pheromone and can improve the searching performance of the algorithm effectively. The proposed algorithm is applied in the traveling salesman problem by using the 17 data sets obtained from the TSPLIB. We compare the experimental results of the proposed DPPACO method with the traditional methods. The experimental results demonstrate that the proposed algorithm has a better global searching ability, higher convergence speed and solution diversity.
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