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Incorporating MPI programming model into data-intensive file system for big data application is significant in performance research for optimization purpose. In this paper we ported an MPI-SVM solver, originally developed for HPC environment to the Hadoop distributed file system (HDFS). We analyzed the performance bottlenecks with which the SVM solver will be confronted on the HDFS. It is known the...
Drift compensation is an important issue for electronic nose systems. Traditional methods are costly and laborious because they need to frequently recalibrate referred gases or continually provide data labeling. In this paper, a new drift compensation method is proposed. The inspiration of our method is originated from semi-supervised domain adaption that can effectively tackle the mismatches between...
This paper presents a method for constructing flow fields with proper orthogonal decomposition (POD) basis functions or modes with great reduction on the computational cost. Using this approach, it is possible to construct the entire aerodynamic flow fields from the knowledge of computed aerodynamic data or measured flow data specified on the aerodynamic surfaces, demonstrating a way to effectively...
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