An EEG signal detection ensemble system to solve the low rate of vision detection is developed when analysis so many EEG signals. A novel FastICA method is presented, in which the independent component analysis approa...
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Color features are important to pictures and they are easy to ***, the features are widely used in content-based image retrieval (CBIR)[4][7].In the meantime, it lacks space *** this paper, color spaces are analyzed a...
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Color features are important to pictures and they are easy to ***, the features are widely used in content-based image retrieval (CBIR)[4][7].In the meantime, it lacks space *** this paper, color spaces are analyzed and YUV color space is *** and texture features are extracted in segmentation block, so there are space *** color, major segmentation block, a new kind of color quantization and a new Gray scale co-existing matrix's method are *** approach is described in detail and compared with other methods presented in the literature to deal with the same *** experiments are finished and show that the method in this paper is effective and efficient.
Geographical Information System (GIS) integrates operation and synthesis analysis of multi-factor information, satisfying the demand of high efficiency and visual performance in human computer Interaction, whereas Pee...
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The difficulties of modeling complex knowledge system lie in a large quantity of knowledge rules and the difficulty in organizing rules and grasping their mutual logical relationships. This article proposed a concept ...
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The difficulties of modeling complex knowledge system lie in a large quantity of knowledge rules and the difficulty in organizing rules and grasping their mutual logical relationships. This article proposed a concept of hierarchical fuzzy Petri nets (HFPN), which is more suitable for modeling complex knowledge system than other fuzzy Petri net models. In addition, the concepts of abstract place and abstract transition in HFPN are allowed to describe and analyze the knowledge system at diverse abstract levels. Therefore, using HFPN, the iterative and incremental methods can be applied to modeling complex knowledge system. In addition, structured approach can be naturally applied to the process of modeling knowledge system.
A new optimization method-organizational evolutionary algorithm (OEA) is proposed. Using OEA, a colony is composed of organizations, and the colony's evolution is lead by three organizational evolutionary operator...
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A new optimization method-organizational evolutionary algorithm (OEA) is proposed. Using OEA, a colony is composed of organizations, and the colony's evolution is lead by three organizational evolutionary operators: split operator, merge operator, and coordinate operator. Split operator limits the scale of the organization and makes a part of the organization goes into the next generation directly, which maintains the variety of the generation. Merge operator fully makes use of the leader's information and acts as a local search function. Coordinate operator increases the degree of adaptability by interactions between organizations. OEA is successfully applied to solve the nonlinear parameterization design problems. Experiments show that OEA performs better than original generic algorithm (GA) in this application of parameterization design.
Gene expression is the transformational procedure from genetic information of genome to proteome which affect the life activities of cells. The Regulation of gene expression determines the structure, quantity and func...
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For the problem of multimedia applications not obtain assuring service immediately after mobile IP handoff we propose dynamic policy and design the dynamic policy scheme of resource management in mobile IP. Based on t...
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For the problem of multimedia applications not obtain assuring service immediately after mobile IP handoff we propose dynamic policy and design the dynamic policy scheme of resource management in mobile IP. Based on the prediction information of the mobile node, the mechanism automatically produces dynamic policies to do admission control and to prepare resources before handoff occurs. And then it uses core policies existed as reference and applies product space conditional event algebra to trigger enforcement of dynamic policy. When the resources in access domain fell short of mobile nodes' requisition, it adopts "step back" arithmetic to update dynamic policies to further adjust resource possession according to the priority to assure the services credibility. By analysis, it is shown that this scheme can guarantee QoS of applications with higher priority and significantly improve the success rate of handoff. Also this management model is much more flexible than traditional methods.
Aiming at the larger search space of learning clause in Inductive Logic Programming, we put forward the definitions of the predicate template and the clause template to reduce search *** suggest IMPI algorithm, which ...
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Aiming at the larger search space of learning clause in Inductive Logic Programming, we put forward the definitions of the predicate template and the clause template to reduce search *** suggest IMPI algorithm, which is a genetic algorithm combining immune mechanism and uses the clause template as genetic code to learn the clause template of required *** uses immune mechanism to invent new predicates, which can extend the hypothesis language, find better *** we design when to invent *** obtaining the clause template, we use a general method based on generalization and information gain sampling to convert clause template to *** design the corresponding fitness function and genetic *** indicates that this algorithm can reduce the search space, improve the efficiency of search algorithm and can learn recursion clause by theoretical analysis and experiment *** is an effective clause learning algorithm.
Concurrent search is an efficient technique for solving distributed constraint satisfaction problems (DisCSPs). dynamic variable ordering (DVO) impacts performance of search greatly. In this paper, we present a distri...
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Concurrent search is an efficient technique for solving distributed constraint satisfaction problems (DisCSPs). dynamic variable ordering (DVO) impacts performance of search greatly. In this paper, we present a distributed dynamic variable ordering based concurrent search algorithm, in which domain sizes of variables are calculated approximately during search. Experiments on randomly generated DisCSPs demonstrate that the proposed algorithm improves concurrent search drastically.
In this paper a new technique for ray tracing point-based models is *** approach offers a higher ray tracing speed in comparison with previous *** pre-process, we add an important attribute to each point for the purpo...
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In this paper a new technique for ray tracing point-based models is *** approach offers a higher ray tracing speed in comparison with previous *** pre-process, we add an important attribute to each point for the purpose of ray *** rendering, an algorithm of intersecting a ray with point geometry is demonstrated to get satisfied *** approach makes it possible to render high quality ray traced images with global *** performs well especially in the way of boundary *** have tested our idea for shadows, reflection and refraction.
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