ID 原文 译文
16265 通过分析差分传输管预充电逻辑(DP2L)的电路结构，发现该电路还无法达到完全的功耗恒定特性，仍然存在被功耗攻击的风险。 By analyzing the circuit structure of Differential Pass-transistor Precharge Logic (DP2L), it is foundthat the circuit can not achieve the complete constant power consumption, and there is still a risk of beingattacked by power attack.
16266 针对该问题，该文对DP2L的电路结构进行改进，并用Hspice对改进前后的电路进行模拟仿真测试。 To solve this problem, the circuit structure of DP2L is improved by this paper, andthe circuits before and after the improvement are simulated using Hspice.
16267 实验表明：改进后的DP2L电路结构具有更好的功耗恒定特性，更能满足该逻辑电路的设计要求。 The experimental results show thatthe improved DP2L circuit structure has better characteristics of constant power consumption and can bettermeet the design requirements of the logic circuit.
16268 为了实现网络功能虚拟化平台中物理资源的动态按需分配，该文提出一种虚拟网络功能资源容量自适应调整方法。 In order to realize on-demand physical resource allocation in network function virtualization platform, an adaptive virtualized network function scaling method is proposed.
16269 该方法首先利用长短期记忆网络预测平台流量的变化趋势， The proposed method first use long shortterm memory network to realize traffic forecasting.
16270 然后结合流量预测结果设计了一种基于多层前馈神经网络的虚拟网络功能资源需求预测方法， Then combining with the forecasting result, a forwardneural network-based approach is designed to predict resource demand of requested virtualized networkfunction.
16271 最后根据资源需求预测结果，设计了一种基于动态编码遗传算法的虚拟网络功能动态部署方法，实现虚拟网络功能资源容量的自适应调整。 Finally, according to the result of resource demand prediction, a dynamic encoding genetic algorithmis proposed to realize dynamic deployment of virtualized network function instances.
16272 实验结果表明，与现有的资源容量调整方法相比，该文提出的资源容量自适应调整方法能够降低流量预测误差对资源需求预测结果的影响，降低资源需求预测的相对误差，减少虚拟网络功能实例占用的服务器数量。 The experiment results show that compared with existing scaling methods, the proposed scaling method can reduce the negative impact of inaccurate traffic forecasting, decrease the relative error of resource demand prediction as well as the total number of servers occupied by requested virtualized network function instances.
16273 针对零日病毒特点和传播规律，该文研究了零日病毒传播模型及稳定性。 According to the characteristics and propagation law of zero-day virus, the propagation model and stability of zero-day virus are studied.
16274 首先，分析了零日病毒传播机理。 Firstly, the mechanism of zero-day virus transmission is analyzed.