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- 저자 : ( Chaoqun Wei ) (검색결과 4 건)
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A Double-Layer Heartbeat Detection Algorithm Orienting to Embedded Heterogeneous Cluster
Zhu Wei,Zhuang Yi,Xu Chaoqun 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.3
The heartbeat detection is an important technology to detect faults of cluster nodes. This paper proposes a Double-layer Heartbeat Detection Model and a Double-layer Heartbeat Detection Algorithm (DLHB) orienting to embedded heterogeneous clusters to obtain high availability of embedded heterogeneous clusters. This algorithm divides the nodes in the embedded heterogeneous cluster into different areas by their physical positions. In each node area, a node is selected as the master control node. The inter-area detection uses heartbeat ring mechanism. The intra-area detection can only be made among master control nodes. The experiment results show that, DLHB is more accurate in prediction compared with DHB, and can detect faults concurrently occurring on multiple nodes with less time compared with the heartbeat ring algorithm.
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Cases and Inspirations of Pipeline Damages Due to Geohazard in China in Recent Years
( Qinglu Deng ),( Xueping Wang ),( Chaoqun Wei ) 대한지질공학회 2019 대한지질공학회 학술발표회논문집 Vol.2019 No.2
In past few years, a number of serious pipelines failures occurred in China due to the geological disasters. Five geological disasters induced pipeline events are presented, including the explosion accident of Sino-Myanmar gas pipeline in Qinglong county of Guizhou province in June 10, 2018. This paper briefly introduces the characteristics, forming conditions and inducing factors of geological hazards in each accident sites, analyzes the causes of pipeline damage, and summarizes the understanding and lessons, with a view to providing some enlightenment for pipeline geological hazard management in the future. The main understandings include that the human activities are the main factors leading to geological disasters, and four of the five cases related to landfills. Therefore, in the daily management of pipelines, it is necessary to pay much attention to and prevent large-scale engineering activities near the pipeline. The case that the landslide led to a pipeline failure in new Guangming district, Shenzhen, is a reminder that the pipeline in the path of landslide movement is also needed appropriate protection. The identification of geological disasters in the early stage is both important and feasible. In these cases, at least three disaster sites in Shenzhen, Pingxiang and Qinshui have obvious signs of early deformation. The conception of risk acceptability should be advocated in pipeline safety management. The risk of pipeline geological disasters cannot be completely eliminated, but the risk loss can be minimized by improving the emergency plans and other measures.
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Lei Wang,Shangjun Zhu,Chuang Jiang,Jingyu Li,Kegui Jiang,Chaoqun Teng,Tao Wei,Qing-biao Guo 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.11
When 3D laser scanning technology is used to monitor the surface deformation of mining subsidence in mining area, the surface of the working face is covered with a large number of vegetation, and the surface water accumulates above the working face, which makes the point cloud data obtained by the 3D laser scanning difficult to denoise, or even missing. At this time, the conventional 3D laser scanning technology can not obtain the surface deformation field of mining subsidence. Aiming at the above problems, the 3D laser scanning monitoring method for mining subsidence based on the auxiliary for PIM proposed (3DLS-PIM). Firstly, this paper introduces the PIM prediction model. Secondly, the mining subsidence observation equation based on 3DLS-PIM is constructed, and then the prediction parameters of PIM are solved based on quantum particle swarm optimization (QPSO). Finally, according to the PIM and its parameters, the mining subsidence surface deformation basin is predicted and obtain the surface deformation field of mining subsidence. Robust experiments show that QPSO has a certain ability to resist random errors and gross errors. The results of engineering application show that the mining area 3D deformation monitoring method proposed in this paper has certain engineering application value.
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