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The efficiency of current aero-engine remaining life prediction methods has room for improvement. This paper focuses on analysis of aero-engine exhaust gas temperature margin (EGTM) time-series data and introduces a pattern mining method of aero-engine performance degradation based on Empirical Mode Decomposition (EMD) and k-nearest neighbors optimized clustering by fast search and find of density...
This paper reviews the first challenge on single image super-resolution (restoration of rich details in an low resolution image) with focus on proposed solutions and results. A new DIVerse 2K resolution image dataset (DIV2K) was employed. The challenge had 6 competitions divided into 2 tracks with 3 magnification factors each. Track 1 employed the standard bicubic downscaling setup, while Track 2...
In this paper, we present a novel self-learning single image super-resolution (SR) method, which restores a highresolution (HR) image from self-examples extracted from the low-resolution (LR) input image itself without relying on extra external training images. In the proposed method, we directly use sampled image patches as the anchor points, and then learn multiple linear mapping functions based...
In this paper, we present a novel single-image superresolution (SR) algorithm that utilizes clustering-based global regression to generate desired high-resolution (HR) patch with its low-resolution (LR) counterpart. Propagation filtering can achieve smoothing over image while preserving image context like edges or textural regions. Furthermore, to preserve the edge structures of super-resolved image...
A multi-extrapolation algorithm of transient FDTD method is proposed in this paper. Then, the parallel algorithm of transient multi-extrapolation based on MPI library is also given to improvement of calculation efficiency. Numerical results show that our algorithm can greatly improve the computational efficiency.
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