Yanfei Kang

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A method for extracting and classifying shapes from noisy time series is proposed. The method consists of two steps. The first step is to perform a noise test on each subsequence extracted from the series using a sliding window. All the subsequences recognised as noise are removed from further analysis, and the shapes are extracted from the remaining(More)
  • Yanfei Kang
  • The 2012 International Joint Conference on Neural…
  • 2012
An unsupervised time series change detection method based on an extension of Vector Quantization (VQ) clustering is proposed. The method clusters the subsequences extracted with a sliding window in feature space. Changes can be defined as transition of subsequences from one cluster to another. The method can be used to achieve real time detection of the(More)
Various definitions of coherent structures exist in turbulence research, but a common assumption is that coherent structures have correlated spectral phases. As a result, randomization of phases is believed, generally, to remove coherent structures from the measured data. Here, we reexamine these assumptions using atmospheric turbulence measurements.(More)
Klebsiella pneumoniae is of great attractiveness because it naturally produces a series of bulk chemicals such as 1,3-propanediol, 2,3-butanediol and 3-hydroxypropionic acid. Although this species has been fueled in recent years, its pathogenicity is considered an obstacle hindering industrial applications. Here we portray a picture of the virulence(More)
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