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Topological relations computation is an important component of spatial analysis and reasoning. In the framework of Euclidean space, topological relations computation is mainly based on computational geometry methods, and it is hard to unify the computation for spatial objects of different dims. But with the birth of conformal geometric algebra (CGA), on one hand, classical geometry can be unified...
In recent years, the finite difference time domain (FDTD) method has been prevailed in the simulation of metamaterials widely. As the FDTD method can be suitable for the parallel computing, we apply this method to the Fermi-architecture Graphic Process Units (GPUs) to calculate the electromagnetic simulation of double negative materials in this paper. Finally, both theory analysis and results of simulated...
In the era of big data, information retrieval becomes even more challenging since the size of data volume is emerging fast and it is difficult to find the right information from the huge amount of heterogeneous datasets. Especially in software engineering domain, it tends to be more difficult to retrieve the right program from projects that are written in different languages and not well-developed...
Genetic algorithm is suitable for the complex and non-linear problem that can not be solved by traditional method, which has been widely used in many areas, and it will become one of main techniques in intelligent computation. This article takes the dynamic series of number of printed books in during several years as example, discussing modeling method of succession forecast model based on GA and...
In this paper, Aiming at the characteristic of simple feature class polygon aggregation in multi-core environment, the improved algorithm divides spatial data for the polygon in simple feature class using STR (Sort-Tile-Recursive) tree index, it reduces the number of reading disk during searching polygons in the spatial database. The algorithm is based on the feature of STR-tree index, first of all...
Based on the theory and function of modular artillery, the overall structure design of the self constructing simulation system for aerial defence is proposed in this paper. The modular design and workflow of the system are introduced in detail. The way in which simulation system construct itself and the workflow in which the system run in nature are the emphases of the paper. The practical operation...
In this work we present a model that uses a Dirichlet process (DP) with a dynamic spatial constraints to approximate a non-homogeneous hidden Markov model (NHMM). The coefficient of the spatial constraint, which is locally dependent on each site, modulates the time-variant transition probability matrix. In our model, we use the DP in combination with variational Bayesian inference to estimate the...
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