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基于单站地基望远镜的空间目标姿态估计方法 被引量:9
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作者 李正炜 王建立 +2 位作者 吴元昊 王国聪 刘帅 《中国光学》 EI CAS CSCD 2016年第3期371-378,共8页
为实现从单站光测图像中估计出已知3D模型的空间目标姿态,利用Vega Prime提出了一种采用仿真图像进行相关度局部最优搜索的姿态估计方法,该方法无需建立2D-3D特征投影关系和大量的模型匹配库。首先,对输入图像进行图像预处理,获得目标... 为实现从单站光测图像中估计出已知3D模型的空间目标姿态,利用Vega Prime提出了一种采用仿真图像进行相关度局部最优搜索的姿态估计方法,该方法无需建立2D-3D特征投影关系和大量的模型匹配库。首先,对输入图像进行图像预处理,获得目标原始图像。然后,利用Vega Prime加载目标3D模型生成仿真匹配图像,并进行图像预处理获得目标匹配图像,计算两幅图像相关度。最后,更新3D目标模型姿态,直至仿真匹配图像与目标原始图像的相关度值取得局部最优,输出目标模型姿态。仿真实验结果表明,采用本文所提方法的观测仿真图像姿态平均估计误差为3.85°,仿真原图可实现姿态准确估计,表明该方法是一种空间目标姿态估计的有效方法。 展开更多
关键词 姿态估计 相关度 空间目标 地基望远镜
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Detection of P2P botnet based on network behavior features and Dezert-Smarandache theory 被引量:1
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作者 Song Yuanzhang Chen Yuan +2 位作者 Wang Junjie Wang Anbang Li Hongyu 《Journal of Southeast University(English Edition)》 EI CAS 2018年第2期191-198,共8页
In order to improve the accuracy of detecting the new P2P(peer-to-peer)botnet,a novel P2P botnet detection method based on the network behavior features and Dezert-Smarandache theory is proposed.It focuses on the netw... In order to improve the accuracy of detecting the new P2P(peer-to-peer)botnet,a novel P2P botnet detection method based on the network behavior features and Dezert-Smarandache theory is proposed.It focuses on the network behavior features,which are the essential abnormal features of the P2P botnet and do not change with the network topology,the network protocol or the network attack type launched by the P2P botnet.First,the network behavior features are accurately described by the local singularity and the information entropy theory.Then,two detection results are acquired by using the Kalman filter to detect the anomalies of the above two features.Finally,the above two detection results are fused with the Dezert-Smarandache theory to obtain the final detection results.The experimental results demonstrate that the proposed method can effectively detect the new P2P botnet and that it considerably outperforms other methods at a lower degree of false negative rate and false positive rate,and the false negative rate and the false positive rate can reach 0.09 and 0.12,respectively. 展开更多
关键词 P2P(peer-to-peer)botnet local singularity ENTROPY Kalman filter Dezert-Smarandache theory
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Highly dispersed few-layer MoS_2 nanosheets on S, N co-doped carbon for electrocatalytic H_2 production 被引量:2
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作者 Shixin Hua Dan Qu +5 位作者 Li An Guangcheng Xi Ge Chen Fan Li Zhijun Zhou Zaicheng Sun 《Chinese Journal of Catalysis》 EI CSCD 北大核心 2017年第6期1028-1037,共10页
Ultrathin small MoS2nanosheets exhibit a higher electrocatalytic activity for the hydrogen evolution reaction.However,strong interactions between MoS2layers may result in aggregation;together with the low conductivity... Ultrathin small MoS2nanosheets exhibit a higher electrocatalytic activity for the hydrogen evolution reaction.However,strong interactions between MoS2layers may result in aggregation;together with the low conductivity of MoS2,this may lower its electrocatalytic activity.In this paper we present a method that we developed to directly produce solid S,N co‐doped carbon(SNC)with a graphite structure and multiple surface groups through a hydrothermal route.When Na2MoO4was added to the reaction,polymolybdate could be anchored into the carbon materials via a chemical interaction that helps polymolybdate disperse uniformly into the SNC.After a high temperature treatment,polymolybdate transformed into MoS2at800°C for6h in a N2atmosphere at a heating rate of5°C/min,owing to S2?being released from the SNC during the treatment(denoted as MoS2/SNC‐800‐6h).The SNC effectively prevents MoS2from aggregating into large particles,and we successfully prepared highly dispersed MoS2in the SNC matrix.Electrochemical characterizations indicate that MoS2/SNC‐900‐12h exhibits a low onset potential of115mV and a low overpotential of237mV at a current density of10mA/cm2.Furthermore,MoS2/SNC‐900‐12h also had an excellent stability with only^2.6%decay at a current density of10mA/cm2after5000test cycles. 展开更多
关键词 MoS2 nanosheet S N co‐doped carbon Electrocatalytic hydrogen production Composite Hydrogen evolution reaction
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