The findings indicate that nursing professionals should provide child-focused and family-centred care that will assist parents of children with asthma to adjust to school life.
General fractal interpolation cannot deal with data concerning the features of closed curves, and the production or reconstruction of similar natural formations usually consumes a lot of resources and time, herein we propose Clustering Segmentation Fractal Interpolation (CSFI) to enhance the efficiency of data interpolation, especially for closed curves. Furthermore, we propose Affine-Distance Function Selection (ADFS) to reduce the iterations in order to achieve faster interpolation. Our series of experiments has demonstrated that the combination of the two methods increases the efficiency of CSFI by 57-97% and that of ADFS by 62-84%. The higher efficiency enhances the entire process with obvious effects.
Abstract-Aimed on the massive computation burden, lack of precise fault mathematic model and uncertainty of analysis method on subsystem parasitic parameters, a novel distributed fault diagnosis Method based on causal Model has been proposed. By the way of splitting entire system into several causal independent subsystems, the fault diagnosis can be divided, thus proper diagnosis method can be applied to each subsystem individually, without consideration of system frame and parameters. This Method lowers the complexity of diagnosis so as to enhance the reliability. By using this method, different diagnosis technology can be used on each subsystem; the accuracy of diagnosis has also been improved. In addition, this method can diagnosis pseudo-fault phenomenon caused by the coupling relationship between subsystems. The prototype has been applied to electrical locomotive HXD30132I .
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