The priority queue model divides CR (cognitive radio) system users into primary user and secondary user. The primary user has preemptive priority over secondary user, while the same priority level users are FIFO serve...
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ISBN:
(纸本)9781424423019
The priority queue model divides CR (cognitive radio) system users into primary user and secondary user. The primary user has preemptive priority over secondary user, while the same priority level users are FIFO served. This paper models the CR system based on scheduling technology. The secondary users are further divided into different priority levels. A hybrid priority dynamic policy, which indicates primary user's preemptive priority and secondary user's nonpreemptive priority, is developed to reduce spectrum switch overhead during spectrum leasing process. Theoretical analyzing shows that hybrid priority reduces the spectrum switch overhead and the hybrid priority improvement is a non-negative mono-increasing function of priority level. Based on the proposed policy, CR scheduling model is built and CR scheduling rule is provided and proved. Experimental comparison between CR scheduling and priority queue shows that CR scheduling gets a smaller weighted staying time sum than priority queue and the improvement increases as system becomes more congested.
A hierarchical MAS (multi-agent system) based on a multi-level discrete space and microscopic agent model for signal transduction network modeling and simulation was proposed. The space can effectively represent the h...
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A hierarchical MAS (multi-agent system) based on a multi-level discrete space and microscopic agent model for signal transduction network modeling and simulation was proposed. The space can effectively represent the heterogeneous cellular space, and is adaptable for systemic expansion. Moreover, the different deformations of one molecular species are packed in one mesoscopic molecule-agent, so that the global complexity is handled by the local state-space, reducing the external communications and computational complexity. The results from simulating two feedback models of MAPK (Mitogen-Activated Protein Kinase) pathway are similar to those of chemical kinetic model, showing the validity of this method.
Object migration is the movement of objects from one machine to another during execution. It can be used to enhance the *** and the reliability of grid systems, such as to balance load distribution, to enable fault re...
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ISBN:
(纸本)9781424432806
Object migration is the movement of objects from one machine to another during execution. It can be used to enhance the *** and the reliability of grid systems, such as to balance load distribution, to enable fault resilience, to improve system administration, and to minimize communication overhead. Most existing schemes apply .xed object migration strategies, which are unadaptable to changing requirements of applications. In this paper, we address the issue of object migration for large scale grid system with multiple object levels. First, we devise a probabilistic object tree model and formulate the object migration problem as an optimization problem. Then we proposed an adaptive object migration algorithm called ADOM to solve the problem. the ADOM algorithm applies the breadth .rst search scheme to traversal the object tree and migrates object adaptively according to their access probability. Finally we evaluate the performance of different object migration algorithms in our grid platform, which show that the ADOM algorithm outperforms other algorithms under large object tree size.
B-spline surface skinning is a commonly used tool in surface modeling. Huge amounts of control points will be introduced in the skinned surface by traditional skinning approach. This paper proposes an efficient approx...
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B-spline surface skinning is a commonly used tool in surface modeling. Huge amounts of control points will be introduced in the skinned surface by traditional skinning approach. This paper proposes an efficient approximating skinning algorithm for constructing B-spline surface based on Piegl's approach. By a more precise estimation of maximum value of a B-spline basis function and utilizing of the local support property of B-spline basis function, the control points of a set of compatible B-spline curves are reduced, which makes the skinning algorithm more effective. Under the same error bound, experimental results showed that our algorithm can reduce more control points than Piegl's.
Fuzzy biclustering analysis Is a useful tool for identifying relevant subsets of microarray data. This paper proposes a fuzzy biclustering clustering method for microarray data analysis. The method employs a combinati...
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This paper presents a novel approach for replacing textures of specified regions in the input image and video using stretch-based mesh optimization. The retexturing results have the similar distortion and shading effe...
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A new evolutionary algorithm based on quantum statistical mechanics (QSEA) is raised in this paper. In the algorithm, the whole evolutionary system is treated as a quantum statistical system, where quantum coding is a...
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A new evolutionary algorithm based on quantum statistical mechanics (QSEA) is raised in this paper. In the algorithm, the whole evolutionary system is treated as a quantum statistical system, where quantum coding is adopted to express chromosomes, and superposition of quantum bits is used to simulate the linear superposition state of the system. Quantum system entropy and statistical energy have been defined by analogy with corresponding concepts in quantum statistical mechanics. And the competition between quantum statistical energy and entropy of the system is used to simulate the conflict between dasiaselection pressurepsila and dasiadiversity of populationpsila, which helps the algorithm to keep a delicate balance between these two issues, and obtain optimal solution rapidly. Numerical experiments show that this new algorithm has high efficiency and strong ability to get global optimal solution.
A novel self-adaption strategy for the parameter epsiv in epsiv-MOEA is proposed in this paper based on the analyses of the relationship between the value of epsiv and the maximum number of non-dominated solutions. Th...
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A novel self-adaption strategy for the parameter epsiv in epsiv-MOEA is proposed in this paper based on the analyses of the relationship between the value of epsiv and the maximum number of non-dominated solutions. Then this novel strategy is applied in epsiv-MOEA and tested on 10 common benchmark functions. The experimental results demonstrate that even if without the good initial value for the parameter s, epsiv-MOEA with this self-adaption strategy (named Algorithm 1) is able to approximately obtain the expected number of non-dominated solutions, which are very close to and uniformly distributed on the Pareto-optimal front. Furthermore, the genetic drift phenomenon in Algorithm 1 is discussed Two cases of genetic drift are pointed out, and one case can be fixed up by a simple approach proposed in this paper.
High-precision localization is one of the important applications in the field of computer vision. In this paper a high-precision template localization algorithm based on SIFT (scale invariant feature transform) is pre...
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High-precision localization is one of the important applications in the field of computer vision. In this paper a high-precision template localization algorithm based on SIFT (scale invariant feature transform) is presented. The proposed method is composed of three main steps. In the initial step the SIFT features are extracted. With these features the basic matching strategy and clustering method similar distance threshold (SDT) are investigated to match the keypoints between template and test images and eliminate the possibility of mismatch. Then iterative least square method (ILSM) is adopted to locate the template and improve the accuracy. Compared with the traditional template matching methods, the proposed method could enhance the robustness effectively, which ensures to give correct results, no matter the test image changes its scale, rotates itself or is covered partly. The localization accuracy reaches 0.1 pixels.
Caching technique has been widely used to accelerate data access for Location Dependent Information Services (LDISs) in mobile environments. Many existing LDISs focuse primarily on finding the nearest object. However,...
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ISBN:
(纸本)9781424431755
Caching technique has been widely used to accelerate data access for Location Dependent Information Services (LDISs) in mobile environments. Many existing LDISs focuse primarily on finding the nearest object. However, for some applications, closest location information is not strictly necessary. In this paper, we study caching invalidation strategies for 'weak' location dependent queries which require only loosen location constraints. First, we introduce a weak location dependent caching scheme to handle such queries. Then, we propose an efficient strategy based on weak valid scope to facilitate cache invalidation. Finally, we evaluate our strategies by simulations. Experimental results show that better cache hit ratios and lower communication cost can be achieved using this scheme..
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