摘要：随着我国电力网络规模的扩大,电力网络安全隐患日益突出。为解决电网中存在的网络安全问题,本文提出了一种用于在电力网络环境中寻找网络杀伤链及挖掘关联规则的方法。该方法首先基于生成树模式构建能用于描述网络攻击生命周期的网络杀伤链,然后采用optics算法和并行FP-Growth算法消除原始报警中的冗余信息,进而挖掘出网络报警关联规则。最后,我们设计了一个链规则分析模块,用来准确生成能够进一步预测网络攻击的关联规则。为了证明所提出方法的有效性和准确性,我们通过在某电力公司部署的全场景态势感知平台上采集的报警日志进行实验与分析,结果证明本文提出的方法能够有效发现报警日志中的网络杀伤链和关联规则。与此同时,我们在测试数据集中评估了这些关联规则,发现它们都有较高的性能。

摘要：Monitoring the ecology and physiology of corals,sediments,planktons,and microplastic at a suitable spatial resolution is of great importance in oceanic scientific *** meet this requirement,an underwater microscope with an electrically controlled variable lens was designed and *** captured microscopic images of corals,sediments,planktons,and microplastic revealed their physical,biological,and morphological *** studies of the images also revealed the growth,degradation,and bleaching patterns of corals;the presence of plankton communities;and the types of *** imaging performance is majorly influenced by the choice of lenses,camera selection,and lighting *** dehazing,global saturation masks,and image histograms were used to extract the image *** experimental proof was obtained with micro-scale images of corals,sediments,planktons,and microplastic at different *** designed underwater microscope can provide relevant new insights into the observation and detection of the future conditions of aquatic ecosystems.

摘要：针对工业信息采集后,经常出现漏报、乱报等问题,文章设计了一种基于聚类算法的企业设备状态智能监控系统。该系统以optics算法为基础,将多测点融合依据欧氏距离来设计新型聚类算法,对正常工况下测点的大量历史数据通过设计算法训练生成一个专家系统,并对实时采集的数据与“专家系统”的预期进行欧氏距离比较,将实时数据与利用聚类得到的结果进行比对匹配,识别设备运行状态是否异常,对不属于正常状态设备的数据进行报警。实验结果表明这种方法能够有效解决状态漏报,充分利用历史数据,并分析测点间的相关性,满足数据增长需求。