In the grid environment, there are a large number of grid resources scheduling algorithms. According to the existing Min-Min scheduling algorithm in uneven load, and low resource utilization rate, we put forward LoBa-...
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On the basis of the introduction to basic methods of the geometry modeling based on virtual reality modeling language (VRML) and the concepts of Minkowski sum computation of polyhedra, we present a method of Minkowski...
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Geometric algebra is the promotion of real, complex, quaternion, and has been successfully applied in physics, computer graphics, and other fields. The support vector machine (SVM) has been successfully used in the fi...
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Recently, the grid-density based clustering has become one of the major issues among all of the clustering approaches, it has special advantages over other clustering algorithms, such as less computation and the abili...
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Recently, the grid-density based clustering has become one of the major issues among all of the clustering approaches, it has special advantages over other clustering algorithms, such as less computation and the ability of clustering with arbitrarily shape, which are particularly useful for the data stream clustering. This paper defines a spatial directed graph named Grid-Based Graph (GBG) to store the non-empty grids in data space, and proposes a data stream clustering algorithm based on spatial directed graph GBGSClu (Grid-Based Graph Stream Clustering). GBG graph composes of vertices and directed edges, if a vertex A has a neighboring dense vertex B, and then there is a directed edge from vertex B to A in GBG. The algorithm maps the data stream into the non-empty vertices online, updates the vertices' feature vectors with the arriving of data stream, deletes the sparse vertices every gap time, generates GBG graph when the clustering quest coming and finally clusters on the current structure. The eventual clustering results can be obtained by only checking the vertices' in-degree which can reduce the computation needed in clustering. The validity and efficiency of GBGSClu algorithm have been tested and verified by clustering on real and synthetic datasets.
To solve the problems such as unreal effects, incomplete details in the rain scene, an algorithm to simulate water surface after rain hitting by combining Meatball with mass-spring water surface was presented. First, ...
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To solve the problems such as unreal effects, incomplete details in the rain scene, an algorithm to simulate water surface after rain hitting by combining Meatball with mass-spring water surface was presented. First, the raindrops model was estabished with particle system combining textures, and the water surface model was established with the mass-spring model. Secondly, the algorithm animated half globular bubbles after rain hitting with Meatball. Thirdly, water splash was simulated by means of the particle system and a gradual thinning and syncretizing technique. Finally, with the help of Cg language, the reflection and the refraction effect on the water surface, globular bubbles and water splash were simulated. The experiment shows that this approach can be used to simulate rain scenes efficiently and realistically.
According to the classical rough set, the attribute reduction set may be far from satisfactory due to the non-existence of core in the attribute reduction process of decision table. Aiming at this issue, this paper pu...
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Aiming at the difficulty of achieving interactive simulation between soft tissue and suture, a method to simulate suturing procedure in virtual surgery was proposed. Firstly, mass-spring model was used as the physical...
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Aiming at the difficulty of achieving interactive simulation between soft tissue and suture, a method to simulate suturing procedure in virtual surgery was proposed. Firstly, mass-spring model was used as the physical model for soft tissue. In order to perform the relative motion between two masses of soft tissue realistically, an internal friction coefficient was introduced first. Secondly, the interaction of suture and soft tissue was aralyzed. A simple linear mass-spring model with following the leader algorithm was used to model the suture. A stress aralysis was carried out, when the suture touch the soft tissue, so the interaction process was close to physical reality. The movement of the whole suture computed by following the leader algorithm gave good performance in suture's rigidity characteristics. Finally, the interaction of the two deformable objects in a continuous pattern suture was considered, for each node of the soft tissue model, the node that attached to it was stored. This information can be used to compute the soft tissue deformation well. Experiment shows that it is realistical to simulate the soft tissue deformation and suture. meanwhile, the simulation is in real time.
In order to fully utilize the minimum support threshold to prune the rowset search space and avoid scanning the whole dataset in close-checking, we proposed two new data structure, Rowset-Itemset-Hybrid-Search-Tree (R...
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In order to fully utilize the minimum support threshold to prune the rowset search space and avoid scanning the whole dataset in close-checking, we proposed two new data structure, Rowset-Itemset-Hybrid-Search-Tree (RIHS-Tree) and Frequent-Closed-Itemset-Rowset-Tree (FCIR-Tree). The former stores the rowsets which share common rowid prefixes, according to some predefined order of rowids. Each path from the root node to the leaf node represents a rowset in which the rowids increase. The later also stores the large rowsets which also share common rowid prefixes. The corresponding closed itemsets are stored in the nodes carrying the last rowids in rowsets. Moreover, a new algorithm, RIHS-Tree-based algorithm for mining frequent closed patterns (FCIM-RIHS), is proposed. We translate the whole dataset into a transposed table, construct RIHS-Tree according to the rowsets in the transposed table and use a bottom-up search strategy to traverse RIHS-Tree. In the process of mining, we use the rowsets-inclusion strategy to implement pattern growth and then obtain large rowsets with their corresponding frequent closed itemsets. In FCIR-Tree, if the nodes in the subtree rooted by the nodes carrying the last rowid in the rowsets do not contain the found itemsets, the found itemsets are frequent closed itemsets. The experiment results with dataset demonstrate that FCIM-RIHS has highly efficiency.
As regard to improve the efficiency of grouping aggregation calculation, the data is compressed by using binary encoding, and the dimension hierarchical grouping attribute set encodings of each dimension table are cal...
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During the process of real-time multi-resolution terrain rendering, avoiding cracks between LOD (Level of Detail) has always been a tedious task that requires extra complicated handling. In this paper, we propose a no...
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