The effects of Ni/Co ratios on A2B7-type La0.7Mg0.3 (Ni1-xCox)3.5 （0≤x≤0.5） alloys were investigated. The results showed that the discharge capacity of the alloys first increased from 245 to 392 mAh·g-1, then...The effects of Ni/Co ratios on A2B7-type La0.7Mg0.3 (Ni1-xCox)3.5 （0≤x≤0.5） alloys were investigated. The results showed that the discharge capacity of the alloys first increased from 245 to 392 mAh·g-1, then decreased to 316 mAh·g-1, corresponding to x=0, 0.2 and 0.5, respectively. While the electrochemical impedance spectra indicated that the reaction resistance had the opposite tendency. When x is equal to 0.2, the reaction resistance has the lowest value. The electrochemical P-C-T results are consistent with the discharge ones of the alloys. When x is equal to 0.2, the dehydriding capacity is 1.34wt.%.展开更多
针对传统漏洞修复策略存在难以确定同一危害等级漏洞修复优先次序的问题,提出了一种基于漏洞类型聚类的层次化漏洞修复(vulnerability remediation based on vulnerability type clustering,VR-VTC)模型。首先,运用PSO-K-means(particle...针对传统漏洞修复策略存在难以确定同一危害等级漏洞修复优先次序的问题,提出了一种基于漏洞类型聚类的层次化漏洞修复(vulnerability remediation based on vulnerability type clustering,VR-VTC)模型。首先,运用PSO-K-means(particle swarm optimization K-means)算法对漏洞信息进行聚类分析,再根据每种漏洞类型高危、中危、低危各个危害等级的百分比,计算每种漏洞类型的威胁因子;然后,将目标主机漏洞划分为主机、漏洞类型威胁等级、漏洞类型和漏洞4个层次,再采用"自下而上、先局部后整体"的漏洞修复策略,提出一种基于漏洞类型的层次化漏洞修复方法。实验结果表明,VR-VTC模型可为用户提供细粒度的漏洞修复策略。展开更多
文摘The effects of Ni/Co ratios on A2B7-type La0.7Mg0.3 (Ni1-xCox)3.5 （0≤x≤0.5） alloys were investigated. The results showed that the discharge capacity of the alloys first increased from 245 to 392 mAh·g-1, then decreased to 316 mAh·g-1, corresponding to x=0, 0.2 and 0.5, respectively. While the electrochemical impedance spectra indicated that the reaction resistance had the opposite tendency. When x is equal to 0.2, the reaction resistance has the lowest value. The electrochemical P-C-T results are consistent with the discharge ones of the alloys. When x is equal to 0.2, the dehydriding capacity is 1.34wt.%.
文摘针对传统漏洞修复策略存在难以确定同一危害等级漏洞修复优先次序的问题,提出了一种基于漏洞类型聚类的层次化漏洞修复(vulnerability remediation based on vulnerability type clustering,VR-VTC)模型。首先,运用PSO-K-means(particle swarm optimization K-means)算法对漏洞信息进行聚类分析,再根据每种漏洞类型高危、中危、低危各个危害等级的百分比,计算每种漏洞类型的威胁因子;然后,将目标主机漏洞划分为主机、漏洞类型威胁等级、漏洞类型和漏洞4个层次,再采用"自下而上、先局部后整体"的漏洞修复策略,提出一种基于漏洞类型的层次化漏洞修复方法。实验结果表明,VR-VTC模型可为用户提供细粒度的漏洞修复策略。
