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There are a large quantity of non-certain and non-structure contents in the Web text at the present time. It is difficult to cluster the text by some normal classification methods. An algorithm of Web text clustering analysis based on fuzzy set is proposed in this paper, and the algorithm has been described in detail by example. The technique can improve the algorithm complexity of time and space,...
This paper presents a Kalman-filter-based method, to track the direction-of-arrival (DOA) of a moving target using antenna array in mobile communications. There are two major new features about the proposed scheme. Firstly, traditional Kalman filter needs measurement transformed. However, it is difficult and costly to be obtained. And our method could work without this message. Secondly, the traditional...
It is a well known result that network coding may achieve better network throughput in certain multicast topologies. However, the practicality of network coding has been questioned, due to its high computational complexity. This paper represents an attempt towards a high performance implementation of network coding. We first propose to implement progressive decoding with Gauss-Jordan elimination,...
This paper presents an efficient method to reduce the circuit scale of cell-based logic block for hierarchical transient analysis of VLSI power ground network. The method built logic block circuit model with considering inductance characteristics of power ground network in low metal layers and statistical distribution of active logic cells. It transformed circuit model into a simple one with only...
This article had a formalizing description to the structure of logic compound sentences (LCS) in the course of decompilation. It applied the Logic diagram to the recognition of LCS which belongs to graph theory. The recognition arithmetic overcame the shortcomings of some typical current approaches. Furthermore, this article introduced logical correlation matrices in the solution to the Logic diagrams,...
Superposition principle of quantum theory is introduced in this paper. The genetic algorithm has been described by quantum superposition theory. It implies genetic algorithm is essentially a kind of quantum algorithm in the classical computer on the reduced order to achieve. It through genetic manipulation to input superposition states data into classical computer. In the evolutionary process, a lot...
When studying attribute reduction, we need to enumerate all the minimal reductions to prove the correctness of the attribute reduction algorithm. The explosion of attributes combination makes time complexity of the enumeration algorithm pretty high. An algorithm derived from grouping the rows of decision table is put forward to validate if an attribute set is reduction. Based on this algorithm, a...
Aiming at the limitation of the fuzzy neural network method for image enhancement presented by Dr. Russo, whose parameter was fixed and not flexible, a novel method of adaptive parameter selection was proposed in this paper. By calculating the difference between the gray value of each pixel and the median of its neighborhood, select adaptively smooth and sharp parameters. Compared with the method...
Two aspects of the superresolution reconstruction algorithm proposed by Fryer and McIntosh (FM algorithm) are considered in this paper. One is the sensitivity to the noise existed in low resolution images, and the other is the high computational complexity in the superresolution reconstruction process. The QM-SRR algorithm, presented in this paper, reconstructs the observation model using matrix form...
An improved ant colony optimization (ACO) was developed based on the characteristics of resource-constrained project scheduling problem (RCPSP). In the algorithm, a new permutation of priorities-based encoding scheme is employed, and the summation evaluation is applied to direct the moving of ants. The priority rule pool, in which lots of priority rules can be managed, is presented to strengthen the...
Based on the statistical analysis of relation between CBP (Coded Block Pattern), MVD (Motion Vector Difference) and each coding mode, a fast mode selection algorithm based on macroblock-adaptive is proposed. In this algorithm, adaptive judgment strategies are adopted to filter partial coding mode quickly. The residual CBP, MVD information is used adequately to identify the relativity of intra and...
This paper utilizes Stern-Brocot tree to produce secret key and designs an encryption schemes, which achieve one-time padding. Then, the security and compute complexity analysis for the scheme is finished.
Energy analysis method of computational complexity is proposed. Entropy and quantum superposition theory are used to calculate the problem??s lower bound of energy consumption. Energy consumption and computational complexity are direct ratio. The computational complexity is decided only by initial state and final state of problem. The algorithm??s details are needless in this method. Energy analysis...
Skin color model is an important method in skin color detection. This paper introduced the process of building skin color model based on ellipse clustering and detection to image with this skin color model. Before the skin color model building, we analysed color space and chose lighten-unrelated YCbCr space. Because of the effect of environment when get the image, we compensated illumination with...
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