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An improved image denoising method based on Curvelet transform is proposed in this article. Considering characteristic of Wavelet transform and traditional Curvelet transform, this method divides image up via window neighbourhood processing. It fuses two denoising images based Wavelet and Curvelet transform according to segmentation information and obtains(More)
Predicting student learning outcomes is one of the prominent themes in Learning Analytics research. These studies varied to a significant extent in terms of the techniques being used, the contexts in which they were situated, and the consequent effectiveness of the prediction. This paper presented the preliminary results of a systematic review of studies in(More)
5-Aminolevulinic acid (ALA), the first committed intermediate for natural biosynthesis of tetrapyrrole compounds, has recently drawn intensive attention due to its broad potential applications. In this study, we describe the construction of recombinant Escherichia coli strains for ALA production from glucose via the C4 pathway. The hemA gene from(More)
In recent years, there has been renewed interest in developing methods for skeleton-based human action recognition. A skeleton sequence can be naturally represented as a high-order tensor time series. In this paper, we model and analyze tensor time series with Linear Dynamical System (LDS) which is the most common for encoding spatio-temporal time-series(More)
As multi-rope friction hoist works under the conditions of heavy-load, impact and frequent starting-braking, the structural vibration of shaft tower is induced, also the hoisting capacity of mine and production safety are seriously affected. Taking the multi-rope friction hoist and shaft tower of a specific mine as engineering background, by vibration(More)