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We present novel optimizations of the fusion plasmas simulation code, GTC on Tianhe-2 supercomputer. The simulation exhibits excellent weak scalability up to 3072 31S1P Xeon Phi co-processors. An unprecedented up to 5.8× performance improvement is achieved for the GTC on Tianhe-2. An efficient particle exchanging algorithm is developed that simplifies the original iterative scheme to a direct implementation,...
The problem of place recognition is central to robot navigation. The robot needs to be able to recognize or at least to be able to estimate the likelihood that it has been at a place before when it has returned to a previously visited place. We cast the place recognition problem as one of classifying among multiple linear regression models, and argue that new theory from sparse signal representation...
Near infrared spectroscopy with support vector machine (NIR-SVM) to predict the crude protein (CP) in Alfalfa samples. The R2 of the predicted CP versus the experimental CP of the training data set is 0.983. The R2 of the independent test Data Set is 0.9823. The result suggested that it is feasible to rapidly determine the CP of Alfalfa by NIR data based on SVR.
In this paper, a novel feature extraction method is proposed; Genetic Programming (GP) is used to discover features, while the Fisher criterion is employed to provide fitness values. This produces nonlinear features for both two-class and multi-class recognition problems by revealing the discriminating information between classes. The proposed approach is experimentally compared to conventional nonlinear...
Video denoising based on temporal or spatiotemporal filtering is highly effective but computationally expensive due to the requirement of motion estimation. Encoder-integrated denoising is an efficient framework that embeds the filtering process into the encoding pipeline so that motion estimation for denoising can be avoided. State-of-the-arts encoder-integrated methods use Least Minimum Mean Square...
Recently, the Graphic Processor Unit (GPU) has evolved into a highly parallel, multithreaded, many-core processor with tremendous computational horsepower and very high memory bandwidth. To improve the simulation efficiency of complex flow phenomena in the field of computational fluid dynamics, a CUDA-based simulation algorithm of large eddy simulation using multiple GPUs is proposed. Our implementation...
In this paper, depending on the interrelation of condenser's operational parameters, the factors which affect the vacuum of condenser are analyzed. And a soft-sensing model for condenser vacuum is given by using Support Vector Regression (SVR), then the model is verified and parameters are discussed based on the data of the 300MW steam turbine unit, and the prognostication precision is compared with...
Automatic prediction of protein three-dimensional structures from its amino acid sequence has become one of the most important researched fields in bioinformatics. With that increases the importance of determining the quality of these protein models. Protein three-dimensional structure evaluation is a complex problem in computational structure biology. We attempt to solve this problem using SVM and...
Distribution centers site selection has become a popular problem in recent years. Fine distribution centers site selection can ensure the supply and reduce the cost. By studying the methods proposed by other scholars, a mew method, KPCA (kernel principal component analysis) -SVRM (support vector regression machine) is proposed by this paper. The first step of this method is to apply KPCA to SVRM for...
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