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Research on Cloud Resource Section Method for the Multi-layer Ontology
Zhang Hong-lie,Li Xin,LIU Yan-ju,Li Cheng 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.1
To solve the problem of cloud resource discovery in the interconnected environment for multiple providers, a resource selection method for the multi-layer ontology is propose from the view of software developer requirements. The ontology is adopted to describe the user requirements, the resource constraint requirements and the cloud resource attribute firstly. Then, the bidimensional matching algorithm is constructed based on two principles of concept matching and attribute matching. And the resource discovery and resource selection are realized by the algorithm, combine with the ontology mapping. The method not only implements the resource selection among cloud providers, but also eliminates the implementation details in the process of resource selection. It overcomes the technical limitations of the single cloud provider. The simulation results show that the importance of the resource requirements is adopted by bidimensional matching algorithm to carry out element level matching which improves the recall and precision of resources greatly.
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.
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.
Zhong-Xian Lu,Xiao-Ping Yu,Jian-Ming Chen,Xu-Song Zheng,Hong-Xing Xu,Jue-Feng Zhang Zhang,Lie-Zhong Chen 한국응용곤충학회 2004 Journal of Asia-Pacific Entomology Vol.7 No.3
Abundance of the yeast-like symbiote (YLS) in brown planthopper (BPH), Nilaparvata lugens Stl, collected from rice fields in China and obtained from International Rice Research Institute (IRRI), was monitored. The role of YLS in nymph survival rate, development and adult reproduction, and activities of transaminases in BPH on different resistant rice varieties were examined. Also, the relationship between YLS and virulence shifts of BPH to resistant rice varieties was discussed. The results indicated that the virulence of BPH populations to resistant rice varieties was strongly related to the abundance of YLS in 5th instar nymphs and brachypterous females of BPH field populations at Nanning in South China and Hangzhou in East China, showing the more abundance of YLS in BPH, the higher virulence of BPH to resistant rice varieties, while no obvious differences in YLS abundance were monitored between three BPH biotypes. Numbers of YLS reduced significantly in female adult of BPH biotype 1 fed on resistant rice varieties IR26, Mudgo and ASD7, compared with that fed on susceptible rice variety TN1. The lowest YLS abundance of BPH from field population was found in 2nd generation successively fed on resistant varieties, and the number of YLS was resumed at 4th generation when the BPH has adapted the resistant varieties. The markedly lower nymphal survival rate, adult fecundity and activities of alanine and aspartic transminase, and significantly longer nymph duration in the three aposymbiotic biotypes than in the symbiotic ones were recorded on both susceptible and resistant rice varieties. However, the much greater differences between aposymbiotic and symbiotic BPH were found on the inadaptable resistant rice varieties than that on the fitness resistant rice varieties. Those results implied that YLS in BPH should play a crucial role in the virulent shift of BPH populations to resistant rice varieties.
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.