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The study is mainly about the simulation of the hydrodynamic effect of the fluid around the semi-submerged body in the three-dimensional open channel flow. In the case of Reynolds number 36200 and Froude number 0.17, the simulation is carried out by unsteady Reynolds Average Navier-Stokes method for semi-submerged body. There are four different draft ratios simulation by volume of fluid. The researches...
We propose a nuclear-norm regularized two-dimensional neighborhood preserving projection (2DNPP) for extracting representative 2D image features. Note that 2DNPP extracts neighborhood preserving features through minimizing the reconstruction error, but the Frobenius norm based metric is sensitive to noise and outliers. To make the distance metric more reliable and model the neighborhood reconstruction...
In this paper, we propose a L1-Norm driven Semi-Supervised Local Discriminant Projection (S2LDP-L1) for robust dimensionality reduction and image representation. For feature learning, our S2LDP-L1 approach aims at compacting local within-class divergence and separating local betweenclass divergence at the same time in addition to possessing the locality preserving power over all training data. To...
Microblogs, a mixture of new media and social networks, is a hotbed of lurking users. It is meaningful to capture profiles for a lurking user in customized applications because a lurking user can receive all messages except for sending few messages in microblogs. However, it is difficult to capture profiles for a lurking user because of lacking its user-generated contents. In this paper, we propose...
The un-modeled systematic errors are inevitable in the process of GPS baseline solution. A single epoch algorithm based on the Empirical Mode Decomposition (EMD) is presented, which has the advantage of mitigating the error effects outside the mathematic model. EMD provides a new method for analyzing signals from a nonlinear viewpoint, and decomposes a time series into a finite and often small number...
Inspired by natural immune systems, Artificial Immune System (AIS) is an emerging kind of computational intelligence paradigm. The traditional immune algorithm and Ai-net for clustering still have the problems of training time-consumption and accuracy. In this paper, AIS Algorithm is improved with Quantum Mechanics theory and the Schro??dinger equation to add the idea of the energy level into the...
The objection of the standard support vector machine (SVM) is to achieve the maximum margin and control the generalization capability of SVM classifier. It only considers the punishment constraints, but does not introduce the within-class and between-class constraint projections. A novel robust discriminative support vector machines algorithm with pairwise constraint projections called CPSVM is discussed...
Self-determination is considered being the most autonomous form of motivation that should predict optimal study and social functioning, even among Chinese students. 280 Chinese students from three different universities participated in this investigation. A hypothesized structural equation model was applied to test the relations between domain-specific self-determination, academic achievement (including...
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