Aiming at the current structured P2P system's locality of physical location and accessing resources, in the context of P4P technology, this paper takes the Pastry and P4P-Pastry algorithms as foundation, proposes ...
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Aiming at the current structured P2P system's locality of physical location and accessing resources, in the context of P4P technology, this paper takes the Pastry and P4P-Pastry algorithms as foundation, proposes a enhanced P4P routing algorithm, in which peers performed clustering to the same resources and the proximity of physical location of nodes. When routing, the node routes to the nodes which are physical adjacent to it and have the lowest cost of communication. Theory analysis and the experimental results show that the algorithm proposed in this paper has realized localization download and greatly raised the data transfer rate, reduced the load in backbone network and enhanced the network performance.
Human facial shapes undergo significant variations from infancy to teenage, while they change limitedly as people age into adulthood. In this paper, facial shapes of males across ages using Euclidean distances are stu...
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This paper introduces a new algorithm for estimating camera pose from point correspondences. Generally, the pose problem is formulated as an optimization problem whose aim is to minimize the reprojection errors. Usual...
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This paper introduces a new algorithm for estimating camera pose from point correspondences. Generally, the pose problem is formulated as an optimization problem whose aim is to minimize the reprojection errors. Usually this kind of problem is non-convex and may get trapped in local minima. For dealing with this difficulty, we combine Branch and Bound with Linear Programming to generate a global optimal solution. We first use a branch-and-bound search over rotation space to find the best rotation and the problem can then be reduced to known fixed-rotation problems for which optimal solutions can be found by Linear Programming. The proposed method can obtain the global optimal solution and is very fast. It has been tested on a real data set and the results demonstrate the accuracy and high speed of this method.
In this paper, a system based on the novel Maximum Variance Projection (MVP) is proposed to improve the performance of protein subcellular localization prediction. Firstly, the protein sequences are quantized into a h...
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This paper proposes a new method for feature extraction and recognition, namely, the fuzzy bidirectional maximum margin criterion (FBMMC) based on the maximum margin criterion and fuzzy set theory. In FBMMC, a members...
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This paper proposes a new method for feature extraction and recognition, namely, the fuzzy bidirectional maximum margin criterion (FBMMC) based on the maximum margin criterion and fuzzy set theory. In FBMMC, a membership grade matrix is calculated by the FKNN algorithm, and then the membership grades are incorporated into the formulation of the scatter matrices to formulate the row and column directional fuzzy scatter matrices. Using the fuzzy scatter matrix, FBMMC performs fuzzy image MMC in the row and column directions simultaneously. Experiments on the ORL and Yale face databases show the effectiveness of the proposed FBMMC based feature extraction method.
Theories of spread spectrum communications, channel coding, capacity analysis techniques have been widely applied in digital watermarking research. In recent years, communication theory has made an important technolog...
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Theories of spread spectrum communications, channel coding, capacity analysis techniques have been widely applied in digital watermarking research. In recent years, communication theory has made an important technological breakthrough. The next generation mobile communication systems (4G) is far exceeding the capacity needs of the traditional Shannon channel capacity limit, and this need promotes the rapid development of multiple-input multiple-output (MIMO) technology. The combination of space-time coding and MIMO technology will breakthrough the capacity limit of single-input single-output (SISO) channel. In this paper, the digital image watermarking system is extended from SISO to MIMO systems based on space-time coding and MIMO communication theory. The new watermarking algorithm is designed in the new framework of space-time coding and MIMO-based communication theory. The watermark capacity and the detection error rate also are further studied under the conditions of different space-time coding. These studies will provide a new idea for the design of new digital watermarking algorithm.
By introducing a novel membership constraint function, a new algorithm called fuzzy c-means switching regression model with generalized improved fuzzy partitions (GIFP-FCRM) is proposed. This algorithm seems less sens...
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Conotoxins show prospects for being potent pharmaceuticals in the treatment of some serious disease. Accurate prediction of conotoxin superfamily would have many important applications in biological research and clini...
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Roadmap methods were widely used in route planning fields, both for robots and unmanned aircrafts. Traditional roadmap is constituted by connecting the vertexes of convex obstacle, which is related to the locations of...
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