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The random distribution of sensors and the irregularity of routing paths lead to unordered sensory data which are difficult to deal with in Wireless Sensor Networks (WSNs). However, for simplicity, most existing researches ignore those characteristics in the designs of Compressive Sensing based Data Aggregation Schemes (CSDAS). Since conventional sparsification bases (e.g., DCT, Wavelets) are inefficient...
In the process of bridge structural health monitoring, the parameters monitored by sensors includes strain, vibration, distortion, cable tension etc.. Classification of each parameter can reflect the change of bridge structural health to some extent. According to feature of parameter data, solving methods, namely, improved single-view cooperative-training semi-supervised learning method and multi-view...
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