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This study aims to estimate the spatial distribution patterns of three typical meteorological factors: maximum temperature, minimum temperature and precipitation in JiTai basin. Forty-seven-year monthly mean meteorological data were interpolated using Inverse distance weight (IDW), Ordinary kriging (OK) and Tension spline function (TPF). Cross-validation was applied to evaluate the accuracy of the...
Most traditional epidemiological studies are based on the statistical analysis rather than spatial information. Therefore, the study combining spatial analysis with epidemiology is a promising and perspective field. This paper, based on the technology of GIS, the method of disease mapping and traditional statistics, is focus on the spatial data of influenza A virus subtype H1N1. A spatial database...
We propose an approach to computing two-dimensional unstable and stable manifolds of three-dimensional vector fields. The main idea is to estimate normal direction on each point around the boundary of current loop of manifold and normalize the normal growth rate during a settled time step to counter the disequilibrium in different directions. In order to enhance the reliability of our approach, linear...
The channel estimation result of non-pilot subcarriers mainly depends on adjacent pilot subcarriers. A linear interpolation algorithm has been applied to the channel estimation of non-pilot subcarriers. The performance of interpolation algorithm has been simulated in a 10Gb/s direct-detection optical orthgonal frequency division multiplexing(DDO-OFDM) communication system. Constellation convergence...
This paper proposes an improved frame interpolation algorithm. The forward motion vectors between the previous and the next key frame is gained at first by traditional block matching algorithm. Then we get the backward motion vectors by using the dynamic search range based on the already known forward motion vector. After smoothing the bidirectional motion vectors, we can get more accurate motion...
Finding a solution to the scalable partially observable Markov decision process (POMDP) has received considerable attention, since the POMDP framework represents an important tool to model a rich variety of real world sequential decision processes. Due to the intractability of computing exact solutions for POMDPs the researchers in the literature are seeking approximation solutions. The approximation...
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