Chuanzhi Zang

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This paper presents an unsupervised structural damage pattern recognition approach based on the fuzzy clustering and the artificial immune pattern recognition (AIPR). The fuzzy clustering technique is used to initialize the pattern representative (memory cell) for each data pattern and cluster training data into a specified number of patterns. To improve(More)
This paper presents an unsupervised structure damage classification algorithm based on the data clustering technique and the artificial immune pattern recognition. The presented method uses time series measurement of a structure's dynamic response to extract damage-sensitive features for the structure damage classification. The Data Clustering (DC)(More)
The distinctive characteristic of target tracking sensor networks is that the delay of data transmission is constrained, which poses a difficult problem for predicting the application lifetime for such sensor networks. In this paper, we first map the delay constraints to the hop bound in routing. By analysing the energy consumption in recurring bounded hop(More)
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