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Transformer fault diagnosis based on relevance vector machine (RVM) is proposed. The advantages of the RVM over the support vector machine (SVM) are probabilistic predictions, automatic estimations of parameters, and the possibility of choosing arbitrary kernel functions. Most importantly, RVM is capable of comparable classification accuracy to SVM, but with fewer relevance vectors (RVs) and higher...
This paper proposes a large-scale three dimensionals(3D) shape acquiring and digitizing system for cultural heritage documentation by combining close range photogrammetry and structured light scan techniques. A close range photogrammetry software package named `XJTUDP' was developed to capture the global reference points, a structured light scan device named `XJTUOM' was constructed to sample and...
Combine the stratified and regional thinking, we proposed a stratified and regional classification method that based on the spatial resolution fusion and NDVI, and utilized in the classification research of land-use and land-cover in Shangrila. The method first used ETM+453 synthesized image, fused the panchromatic band to promote the spatial resolution, calculated NDVI after the extraction of related...
The characteristics of the chaos theory are analyzed in this paper. The urban daily water demand short-term forecasts model, which is for the scientific forecast of the urban daily water demand, is built based on the chaos theory. The time-series of urban daily water demand is analyzed on the basis of phase space reconstruction and the historical data of water demand is used. The saturated embedding...
We use high resolution image of ASTER to extract glacier, during the extraction, based on the methods of glacier extraction before, we make up a set of glacier extraction work flow combined with the research area and research data. As a result, it is proved that the accuracy of the glacier extraction is high, and achieve the need of the research, on the other hand, we research the debris classification...
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