ID 原文 译文
513 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.
514 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.
515 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，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，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。 The proposed method first use long shortterm memory network to realize traffic forecasting. Then combining with the forecasting result, a forwardneural network-based approach is designed to predict resource demand of requested virtualized networkfunction. Finally, according to the result of resource demand prediction, a dynamic encoding genetic algorithmis proposed to realize dynamic deployment of virtualized network function instances.
516 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 resultsshow that compared with existing scaling methods, the proposed scaling method can reduce the negative impactof inaccurate traffic forecasting, decrease the relative error of resource demand prediction as well as the totalnumber of servers occupied by requested virtualized network function instances.
517 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 andstability of zero-day virus are studied.
518 首先，分析了零日病毒传播机理，在易感-感染-移除-易感(SIRS)病毒传播模型基础上，重新定义了感染状态节点，引入执行状态节点和毁损状态节点，建立了零日病毒传播的易感-初始感染-零日-毁损-移除(SIZDR)病毒传播动力学模型；其次，运用劳斯稳定性判据，分析了系统平衡点的局部稳定性，基本再生数及其对病毒传播规模的影响。 Firstly, the mechanism of zero-day virus transmission is analyzed. Basedon the Susceptible-Infected-Removed-Susceptible(SIRS) virus transmission model, the node of infection state isredefined, the node of execution state and the node of damage state are introduced, and the zero-day virustransmission Susceptible - Initial-state-of infection- Zero-day - Damaged – Recovery (SIZDR) dynamic model isestablished. Secondly, the local stability of the system equilibrium point, the basic regeneration number and itsinfluence on the scale of virus transmission are analyzed by using Rous stability criterion.
519 最后，仿真验证了模型局部稳定性，分析了节点感染率、节点度和节点毁损率等因素对零日病毒传播的影响。 Finally, the localstability of the model is verified by simulation, and the influence of node infection rate, node degree and nodedamage rate on zero-day virus transmission is analyzed.
520 理论分析与仿真结果表明，该模型能客观反映零日病毒传播规律，零日病毒扩散规模与节点度、节点感染率正相关，与节点毁损率负相关，对已知病毒的针对性防控可有效提升对零日病毒的防御效果。 Theoretical analysis and simulation results show thatthe proposed model can objectively reflect the law of zero-day virus transmission, and the magnitude of zero-day virus spread is positively correlated with node degree and node infection rate, and negatively correlatedwith node damage rate. Targeted prevention and control of known viruses can effectively improve the defenseeffect against zero-day viruses.
521 在基于云计算的存储与删除服务中，由于外包数据所有权和管理分离，现有的逻辑删除机制使云上的数据很容易暴露给未经授权的用户，甚至云服务器可能未遵循用户要求删除相应数据。 In the storage and deletion service provided by cloud computing, due to the separation of outsourceddata ownership and management, the cloud server may not follow the user’s request to delete the correspondingdata, and the outsourced data can be easily exposed to unauthorized users due to the widely-adopted logicaldeletion.
522 为此，该文提出一种细粒度的安全云端数据存储与删除方案。 Therefore, an efficient and secure cloud data storage and deletion scheme is proposed.