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Recently, pathological diagnosis plays a crucial role in many areas of medicine, and some researchers have proposed many models and algorithms for improving classification accuracy by extracting excellent feature or modifying the classifier. They have also achieved excellent results on pathological diagnosis using tongue images. However, pixel values can't express intuitive features of tongue images...
In soft sensor applications, the prediction using only relevant variables significantly improves model accuracy and decreases computational costs. This paper proposed a new method for variable selection based on random vector functional-link (RVFL) neural network model. This method removes input nodes from variable set according to an exclusion criterion by backward selection. Then the remaining weights...
For non-contiguous OFDM (NC-OFDM) based cognitive radio systems, one challenge is to establish the spectrum synchronization before the data transmission over an idle channel. In this paper, we propose two novel detection schemes, i.e., hard-decision-based detection (HDD) and soft-decision-based detection (SDD) schemes, to detect NC-OFDM symbols without the information of out-of-band spectrum synchronization...
For non-contiguous OFDM (NC-OFDM) based cognitive radio (CR) systems, one of huge challenges is to establish spectrum synchronization before data transmissions. In this paper, we propose a novel active subchannel detection scheme for the NC-OFDM receiver without out-of-band spectrum synchronization information. The key idea of the proposed scheme is to employ the received training symbol to calculate...
Abstract-To study the effect of Xiaoyaosan on changes of behaviors (the open field test, elevated plus maze test and Y-maze test) in chronic immobilization stress (CIS) rats. Methods: 28 male Sprague-Dawley rats were randomly divided into control group, model group and Xiaoyaosan group. CIS was used to induce stress in rats of model group and Xiaoyaosan group, 3 h a day for 21 days. Xiaoyaosan was...
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