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Hybrid Patterns Recognition of Control Chart Based on WA-PCA-PSO-SVM
Liu Yan-zhong,Zhang Hong-lie,Liu Yan-ju,Jiang Jin-gang 보안공학연구지원센터 2014 International Journal of Control and Automation Vol.7 No.10
Based on the analysis of the defect of traditional model, this paper proposes a new control chart pattern recognition model, which includes Wavelet Analysis (WA), Principal Component Analysis (PCA), Particle Swarm Optimization (PSO) and Support Vector Machine (SVM). WA is good to eliminate noise control chart anomaly pattern recognition of the adverse effect. PCA eliminates the redundant information of data between SVM and reduces the input dimension and computational complexity. PSO algorithm optimizes the parameters of SVM and the establishment of the optimal control chart anomaly pattern classifier can solve the problem optimal parameters of SVM. The simulation results show that the model is feasible, the results are reliable. This algorithm improves the control chart abnormal state average recognition accuracy and be used in the machining process real-time monitoring.
A Parallel Fast Sort Algorithm for Mass 3D Point Clouds of Irregular Model
Liu Yan-ju,Zhang Hong-lie,Tao Bai-rui,Li Cheng 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.6
According to mass point clouds without explicit topology relation, a parallel fast sort algorithm is proposed in this paper. Morton order is introduced and used to merge one-dimensional data. The mass point clouds of irregular model are generated corresponding address code named Morton code and these points are stored in the octree structure chain. And then a parallel fast sort algorithm based on Euclidean distance is used to sort by CPU and GPU. The k-Nearest Neighbors of point can be located in the chain. The experiment results show that much time is saved and k-Nearest Neighbors of point can be searched directly. This algorithm is simpler than those complex sort methods used on the whole point clouds.
Fuzzy Classification Strategy for the Hole of Incomplete Mass Point Clouds of Irregular Model
Liu Yan-zhong,LiuYan-ju,Li Cheng,Zhang Hong-lie 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.1
This paper presents fuzzy classification strategy for the hole-filling that can classify the incomplete mass point clouds and improve the precision. The irregular model is complex object that some part is smooth and some parts are irregular including sharp features. Therefore, we put kNN and curvature of mass point clouds to fuzzy inference system to divide the type of the hole of mass point clouds and the output of FIS can determine which part of point clouds belong to. For different kind holes, corresponding algorithm is given. Point clouds in the smooth area are reconstructed by implicit directly and ones in other regions of thin or sharp area are reconstructed by attach points. This method is simpler than those complex methods used on the whole point clouds directly. The experiment results show that classification can save much time and surface reconstruction is very fine.
Liu Yan-ju,Jiang Jin-gang,Miao Feng-juan,Tao Bai-rui,Zhang Hong-lie 보안공학연구지원센터 2014 International Journal of Grid and Distributed Comp Vol.7 No.5
This paper presents a fuzzy normal estimate for mass point clouds of irregular models in reconstruction. The irregular model is complex object that some part is smooth and some parts are irregular including sharp features. Therefore, we put kNN and curvature of mass point clouds to fuzzy inference system to divide the kind of point clouds and the output of FIS can determine which part of tooth point clouds belong to. For different kinds point clouds, corresponding algorithm is given. Point clouds in the smooth area are estimated normal by PCA directly and ones in other regions of thin or sharp area are estimated by checker and attach points. This method is simpler than those complex methods used on the whole point clouds directly. The experiment results show that much time is saved and surface reconstruction is very fine than PCA and WLOP.
Anti-HIV-1 Activity of Lignans from the Fruits of Schisandra rubriflora
Wei-Lie Xiao,Rui-Rui Wang,Wei Zhao,Ren-Rong Tian,Shan-Zhai Shang,Liu-Meng Yang,Jian-Hong Yang,Jian-Xin Pu,Yong-Tang Zheng,Han-Dong Sun 대한약학회 2010 Archives of Pharmacal Research Vol.33 No.5
This study investigated the 70% aqueous acetone extract of the fruits of Schisandra rubriflora which led to the isolation of eight lignans, including a new isolate, rubrisandrin C (1), and seven known lignans (2-8) . The structure of 1 was established by extensive 1D and 2D NMR spectroscopy and its absolute stereochemistry was determined by CD spectrum. Compounds 1-5 and 7-8 were evaluated for their anti-HIV-1 activity that showed inhibitory activity on HIV-1IIIB induced syncytium formation with EC50 values in the range of 2.26~20.4 μg/mL. Compounds 1 and 7 exerted their obvious protection of HIV-1IIIB inducted MT-4 host cells lytic effects with a selectivity index of 15.4 and 24.6, respectively.
A Review of Virtual Anchor Node Technology: Construction and Application
Zhang Hong-lie,Li Cheng,Zhao Xin,Liu Yan-ju 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.4
The localization accuracy of the wireless sensor network node is improved by introducing the virtual anchor node, so the virtual anchor node is constructed and applied by many researchers to optimize the localization algorithm further. This paper presents the broad definition of the virtual anchor node and indicates its significance in the wireless sensor network node localization; the wireless sensor network node localization algorithm based on the virtual anchor node is introduced mainly in two aspects of constructing the virtual anchor node and its application in localization. The scheme for constructing the virtual anchor node includes the random construction method, the geometric constraint method, the node upgrade method, the network training method, etc. And the scheme for its application in localization includes the model reconstruction method, the rank sequence method, etc. By making a concrete analysis of the localization scheme based on the virtual anchor node, its future research prospect and its application development trend are put forward.