http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
A Partial Discharge Fault Identification Algorithm based on SGWT Neural Network
Wei Zhang,Qiuli Wu,Yurong Deng 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.5
Based on the second generation wavelet and information entropy, in this paper, we recognize the partial discharge pattern using the second generation wavelet (SGWT) and adaptive BP. Firstly, feature extraction of discharge signals are obtained using the SGWT and information entropy. Then, the extracted features are feed into the training BP network. The learning algorithm employed the conjugate gradient methods and the adaptive adjustment to train the error for BP network. Finally, we get the optimum training network, and the simulation results verified the feasibility of the algorithm.
Zuoguang Wang,Ya Liu,Jieling Liu,Qiuli Niu,Jie Wen,Shaojun Wen,Zhaosu Wu 연세대학교의과대학 2013 Yonsei medical journal Vol.54 No.3
Purpose: Mitofusin2 gene (Mfn2, also named Hyperplasia suppressive gene, HSG) is very important in the origin and development of hypertension. However, the mechanism of Mfn2/HSG expression regulation was not uncovered. This study was designed to explore the association of a novel 5’-uncoding region (UCR) -1248 A>G variation of HSG/Mfn2 gene and hypertension. Materials and Methods: 472 healthy, normotensive subjects [normotension (NT) group], 454 prehypertensive subjects [prehypertension (PH) group] and 978 hypertensive patients [essential hypertension (EH) group] were screened for an association study between 5’-UCR -1248 A>G of Mfn2/HSG and hypertension by polymerase chain reaction and DNA sequencing after venous blood was drawn and DNA was extracted. Results: When comparing the A and G frequency in EH, PH and NT groups, in total, NT group significantly had higher A frequency than in PH group [odds ratio (OR)=1.605, confidence interval (CI) 95%=1.063-2.242, p=0.025] and EH group (OR=5.395, CI 95%=3.783-7.695, p<0.01). When subgrouped by gender, A frequency in NT group was still significantly higher than in EH group (male: OR= 4.264, CI 95%=2.780-6.543, p<0.01; female: OR=8.897, CI 95%=4.686-16.891, p<0.01), but not from PH group, either in male group or in female group. Ordinal Logistic Regression analysis showed that A>G variation was significantly related with blood pressure level (B=-1.271, Wald=40.914, CI 95%=-1.660 - -0.881, p<0.01). Conclusion: 5’-UCR -1248 A>G variation of Mfn2/HSG gene was a novel variation and may be associated with hypertension in Chinese.