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- 저자 : Peiyu Ren (검색결과 3 건)
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An Improved Kernel Clustering Algorithm for Mixed-Type Data in Network Forensic
Min Ren,Peiyu Liu,Zhihao Wang,Lin Lü 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.1
Clustering algorithm is a common analysis technology for network forensics, which, lacking of any prior knowledge, can effectively find out the invasions by analyzing the collected real-time communication data flowing through the network. This paper proposed an improved dynamic kernel clustering algorithm for mixed numeric and categorical network communication data. First, centroid prototype based on the mean and distribution centroid was put forward to represent the cluster center. Then by using Gaussian kernel function, the paper introduced a new dissimilarity measure between the data object and the centroid prototype in combination with the significance of different categorical values. On this basis, the objective function was defined, which took into account both the compact degree in a cluster and the discrete degree among the clusters. After that an improved kernel clustering algorithm was designed. In the process of clustering, centroid prototype and the value of the clustering parameter dynamically updated for a better description of the characteristics of clusters’ change. Finally, in order to verify the feasibility and effectiveness of the algorithm, the paper further applied it to network forensics, and the experimental results showed that the method could mine the intrusion behavior more accurately.
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Influence of Real-Information to Change Tourists' Travel Route
Qingyun Chen,Ruimin Ma,Maozhu Jin,Peiyu Ren 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.11
The tourism system as a whole is becoming less sustainable, both because of its overall rapid growth and the unwillingness to change travel behavior (tourists). In the field of the tourism, the tourists' activities have influences on the protection and development of the natural scenic. In order to understand the tourist' intention to change travel route based on real-time information, this paper adds trust to the model of theory of planned behavior (TPB). Exploratory and confirmatory factor analysis are used to identify and confirm the constructs. In addition, structural equation modeling was established to test the measure model. Results indicate that the attitude, subjective norm and perceived behavioral control have positive effect on the behavioral intention of changing travel route according to real-time information. Moreover, trust also has positive influence on behavioral intention via three antecedents of intention. The findings have implications for predicting the tourist's intention of travel route change.
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Shuai He,Lin Wang,Hao Dong,Pei Liu,Peiyu Shi,Xuemin Li,Xingchen Ren,Ning Lv,Yanan Liu,Changhu Xue,Hong Lin,Xiangzhao Mao 한국식품과학회 2014 Food Science and Biotechnology Vol.23 No.3
A new production bioprocess for sea cucumberrice wine (SCRW) was established. The traditional productiontechnology of Chinese rice wine was combined with additionof sea cucumber hydrosylates. The optimal enzymaticconditions of sea cucumber and the fermentation process ofSCRW were determined. The weight of sea cucumberenzymatic hydrolysates was 2.5% of millet while cookingthe millet. SCRW contained abundant free amino acids (30total at 1,681.216 mg/L), oligosaccharides (4 total at10,999.380 mg/L), total phenols (658.850 mg/L), andmineral elements (9 total at 1,911.353 mg/kg), and anantioxidant activity, all of which were higher than forcontrol rice wine (CRW). Galactosamine and glucuronicacid, both sea cucumber polysaccharides, were present inSCRW, but not in CRW.
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