A new non-destructive and rapid method was developed to discriminate the coating process of Rukuaixiao tablets mainly based the support vector machine (SVM) with the near-infrared spectroscopy (NIRs). After the samples that differ in the sugar-coat were acquired, the sample set partitioning based on joint x-y distance (SPXY) method was used to select the training sets and internal principal component analysis (internal PCA) was to select the optimal wavelength. The discrimination model was developed based on support vector machine (SVM), and varieties of pre-processing methods were compared. The results showed that the accuracy of the prediction set was 98.81%. It is concluded that the accuracy of the method is high to use for the quality evaluation of tablet's coating process.
We study collective behavior of Brodmann regions of human cerebral cortex
Using functional Magnetic Resonance Imaging (fMRI) and Random Matrix Theory
(RMT). The raw fMRI data is mapped onto the cortex regions corresponding to the
Brodmann areas with the aid of the Talairach coordinates. Principal Co...
In the paper different roles of users in social media, taking into
consideration their strength of influence and different degrees of
cooperativeness, are introduced. Such identified roles are used for the
analysis of characteristics of groups of strongly connected entities. The
different classes o...
We design a Copula-based generic randomized truthful mechanism for scheduling
On two unrelated machines with approximation ratio within $[1.5852, 1.58606]$,
Offering an improved upper bound for the two-machine case. Moreover, we provide
An upper bound 1.5067711 for the two-machine two-task case, whi...
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