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- 저자 : Chunying Huang (검색결과 3 건)
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Fuxian Huang,Chunying Liu,Yuwen Huang,Jijiang Yu 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.6
Due to its importance in many applications, the incomplete data mining has received increasing attention in recent years, but there has been little study of the cost-sensitive classification on incomplete data. Therefore this paper proposes the dynamic cost-sensitive extreme learning machine for classification of incomplete data based on the deep imputation network (DCELMIDC). Firstly, we propose an approach for incomplete data imputation based on the deep imputation network model, and offer the cost-sensitive extreme learning machine. Secondly, this paper introduces dynamic misclassification and test cost, and gives the chromosome coding and an evaluation method of the optimal cost. At last, on the basis of the genetic algorithm, the dynamic cost-sensitive extreme learning machine classification algorithm for mining incomplete data is given, which can search the optimal misclassification and test cost in cost spaces. The experiment results show that DCELMIDC is effective and feasible for classification of incomplete data, and can reduce the total cost.
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Adaptive Label Propagation Algorithm to Detect Overlapping Community in Complex Networks
Chunying Li,Yonghang Huang,Zhikang Tang,Yong Tang,Jiandong Zhao 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.8
According to the defects that community detection algorithm in unknown complex networks has a pre-parameter. We propose Adaptive Label Propagation Algorithm (ALPA) to detect community structures in complex networks. The ALPA algorithm find out all disjoint Maximal Clique (MC) and let each MC share the identical weight and unique label so as to reduce the redundant labels and uncontrollable factors. The stability of ALPA algorithm is enhanced by synchronous update during iterations. Meanwhile it will converge easily due to the termination condition that all of the vertexes have the label. During iterations we use the adaptive threshold method to overcome the pre-parameter limitation. Compared with other community detection algorithms in synthetic networks and real networks, our experiments show that ALPA algorithm not only improves the tolerance of mixing parameter, but also enhances its robustness.
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Caiyun Li,Jixia Li,Yaxian Shang,Yao Wang,Jingru Gao,Nan Xue,Chunying Huang,Farong Li,Jia Li 한국식품영양과학회 2021 Journal of medicinal food Vol.24 No.7
Polygonatum sibiricum (PS) has been used as herbal medicine to treat type 2 diabetes mellitus (T2DM). However, how lactic acid fermentation of PS influences glucose and lipid metabolism remains unclear. The current study was undertaken to evaluate the hypoglycemic and hypolipidemic effects of PS fermented with Lactobacillus brevis YM 1301 (YM 1301) in streptozotocin and high-fat diet-induced T2DM mice. Biochemical analysis revealed that supplementation with metformin, PS, or fermented Polygonatum sibiricum (FPS) lowered the fasting blood glucose, insulin, total cholesterol, triglyceride, and low-density lipoprotein cholesterol of diabetic mice. FPS showed relatively more potency to reduce the homeostasis model assessment-insulin resistance and glycated hemoglobin than PS. Moreover, a high dosage of FPS protected against glucose intolerance and insulin resistance by increasing the ratio of phosphor-AKT/AKT. Histological examination and quantitative polymerase chain reaction results showed that dietary FPS ameliorated the lipid accumulation in liver and white adipose tissue (WAT) by inhibiting lipogenesis, enhancing lipolysis, and fatty acid oxidation. FPS exhibited greater efficacy than PS on improving the transcriptional expression of adipose triacylglyceride lipase, carnitine palmitoyltransferase 1, and uncoupling protein 1. In addition, FPS exerted a striking anti-inflammatory effect by suppressing the expression of interleukin 6, interleukin 1β, tumor necrosis factor-α, and transforming growth factor-β in WAT of diabetic C57BL/6 mice. Finally, FPS supplementation enhanced the activation of AMPK. In conclusion, these results suggest that the FPS may be more promising than PS as a potential therapeutic agent for diabetes and obesity.
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