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Partial shading conditions are inevitable especially in building-integrated photovoltaic (PV) systems. Detection of partial shading is vital for monitoring and supervising purposes as well as invoking global maximum power point tracking (MPPT) algorithms. Normally, a sudden big change in output power is used as a partial shading occurrence indicator. However, it cannot ensure detection accuracy. Utilizing...
There is an urgent need to discover or predict DDIs, which would cause serious adverse drug reactions. However, preclinical detection of DDIs bear high cost. Similarity-based computational approaches can be the assistance of experimental approaches. Utilizing pre-market drug similarities, they are able to predict DDIs on a large scale. However, they neglect the topological structure among DDIs and...
It is an urgent need to understand the structure-function relationship in proteomic era. One of the important techniques to meet this demand is to analyze and represent the spatial structure of domain which is the functional unit of the whole protein, and perform fast domain classification. In this paper, we introduce a novel method of rapid domain classification. Instead of analyzing directly protein...
Biomarker identification and cancer classification are two closely related problems. In gene expression data sets, the correlation between genes can be high when they share the same biological pathway. Moreover, the gene expression data sets may contain outliers due to either chemical or electrical reasons. A good gene selection method should take group effects into account and be robust to outliers...
According to the off-line handwritten Chinese characters, a classification and recognition method which is combined by pruning FSVM coarse classification and SVM fine classification is proposed in this text. First cut no value minor to reduce the number of support vector machines, and then determine the coarse classification through fuzzy membership when the coarse classification is done. In fine...
Aiming at nonlinear control system on-line modeling, the effects of training data distribution to the performance of SVR are analyzed, and a new modeling method based on modified support vector regression (SVR) is proposed. The analyzed results indicate that the data near to the new added sample should be preserved when training data are updated, which can improve the performance; the fixed parameters...
In order to extract compact and effective feature to characterize protein structure, this paper presents a feature extraction of protein fold by mapping into 2-D distance matrix which is regarded as gray level image and further analyzed by image processing techniques. Firstly, gray level co-occurrence matrix (CoM) of distance matrix image (DMI) is calculated and its singular values are taken as the...
One of the most important research aims is to understand the relationship between structure and function of protein. Inspired by this motivation, automatic classification of protein structure becomes one of major research approaches. However, how to extract compact and effective feature to characterize protein structure is still a challenge to it. In this paper, 3-D tertiary structure of protein fold...
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