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网络病毒的求源问题
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作者 韩兰胜 韩淑霞 Varney Washington 《计算机科学》 CSCD 北大核心 2006年第9期8-11,82,共5页
现有的网络病毒方面的文章大都强调网络病毒与生物病毒的相似性,而生物病毒的寻源具有很多不确定因素,因此很少有人提出网络病毒寻源的理论。本文强调网络病毒的传播不同于生物病毒的传播,它的传播信息是可以通过网络获取的;病毒的求... 现有的网络病毒方面的文章大都强调网络病毒与生物病毒的相似性,而生物病毒的寻源具有很多不确定因素,因此很少有人提出网络病毒寻源的理论。本文强调网络病毒的传播不同于生物病毒的传播,它的传播信息是可以通过网络获取的;病毒的求源虽然是病毒传播的逆过程,但它也不同于严格意义上的反问题。文章提出子网内病毒传播路径的始点即为子网的病毒源。指出病毒的传播引起的计算机结点的状态变迁是获取病毒实际传播路径的主要依据,而计算机感染病毒的诊断和清毒是获取该依据的重要手段。由此,文章建立了子网的状态变迁方程。结合实际的网络因素和实践,文章给出了一套求解的方法和步骤,反复求解子网的状态变迁方程即可求得病毒实际传播的路径,传播路径的始点即为病毒的一个源点。最后,文章对模型及其解法给出了模拟实验,实验证明了理论模型的正确性和求解方法的有效性。文章为建立网络病毒的求源理论打开了一定的思路。 展开更多
关键词 网络病毒 网络安全 病毒求源
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An Upper Limit for Iterative Learning Control Initial Input Construction Using Singular Values 被引量:1
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作者 Naser Alajmi Ali Alobaidly +2 位作者 Mubarak Alhajri Salem Salamah Muhammad Alsubaie 《Intelligent Control and Automation》 2017年第3期154-163,共10页
Selecting a proper initial input for Iterative Learning Control (ILC) algorithms has been shown to offer faster learning speed compared to the same theories if a system starts from blind. Iterative Learning Control is... Selecting a proper initial input for Iterative Learning Control (ILC) algorithms has been shown to offer faster learning speed compared to the same theories if a system starts from blind. Iterative Learning Control is a control technique that uses previous successive projections to update the following execution/trial input such that a reference is followed to a high precision. In ILC, convergence of the error is generally highly dependent on the initial choice of input applied to the plant, thus a good choice of initial start would make learning faster and as a consequence the error tends to zero faster as well. Here in this paper, an upper limit to the initial choice construction for the input signal for trial 1 is set such that the system would not tend to respond aggressively due to the uncertainty that lies in high frequencies. The provided limit is found in term of singular values and simulation results obtained illustrate the theory behind. 展开更多
关键词 ITERATIVE Learning Control INITIAL INPUT Selection SINGULAR VALUES
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The Impact of Filler Content on Mechanical and Micro-Structural Characterization of Graphite-Epoxy Composites
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作者 Abdullah Shalwan Fahad Mohammad Alajmi Naser Alajmi 《Journal of Materials Science and Chemical Engineering》 2022年第6期19-29,共11页
In this study, the characteristics of Graphite/Epoxy Composites (GECs) are evaluated from mechanical perspectives. Different weight percentages of graphite were used (0 - 7 wt%) for tensile and hardness experiments. T... In this study, the characteristics of Graphite/Epoxy Composites (GECs) are evaluated from mechanical perspectives. Different weight percentages of graphite were used (0 - 7 wt%) for tensile and hardness experiments. Then the findings were discussed to ascertain the optimum mixing ratio of the graphite with the epoxy. The primary finding of this study is that the graphite weight fraction has a substantial impact on the composites’ mechanical performance. At a low percentage (1 wt%), the graphite has little influence on the tensile behaviour. An intermediate weight percentage of the graphite is considered optimum for mechanical performance in the epoxy composites as it slightly reduces the tensile properties and significantly improves the hardness. Micrographs of the fractured surface of specimens showed many signs that clearly explained why fractures had occurred. For instance, when graphite/epoxy composite contained a low proportion of graphite, the cleavage failure was very easy to observe because there was no sign of aggregation or the detachment of fillers. 展开更多
关键词 GRAPHITE Epoxy Composites MICROSTRUCTURAL MECHANICAL TENSILE Hardness
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