ID 原文 译文
823 本文首先从 QCA 器件的功耗角度出发，对影响半径为 41nm 的 QCA 共面系统中元胞的耦合度进行建模， Based on the power consumption model inQCA technology, the coupling strength between cells in coplanar systems is modeled for radius of 41nm.
824 根据元胞之间的位置关系构造 QCA 门结构模型，据此对现有的共面五输入择多门进行分类，通过性能分析总结其结构特点，以此设计出一个新的低功耗五输入择多门， The QCA gatestructure model is then constructed according to the locations of cells to classify existing coplanar five-input majority gates. By characterizing their performances, a new low-power five-input majority gate is proposed.
825 测试结果表明该结构功耗最低且其他性能也相对较优。 Simulation results demonstratethat the proposed gate has lowest power consumption and performs better than other gates.
826 另外，为验证所提出五输入择多门在电路中的性能，本文选择 MR Azghadi 全加器设计了一款共面 QCA 全加器，与同类加法器相比性能也最优。 To verify its properties in practi-cal applications, a new coplanar QCA full adder is designed by means of MR Azghadi full adder, which has the best perform-ance among similar adders.
827 针对弹性光网络的多链路故障影响虚拟光网络映射性能问题，提出一种链路可靠性感知的差异保护虚拟光网络映射(RA-DPVONE)方法。 Aiming at the problem that multi-link faults in elastic optical networks affect the performance of virtual op-tical network mapping, a method of link Reliability-Aware Protection-differentiated Virtual Optical Network Embedding(RA-PVONE)is proposed in the paper.
828 根据光节点的资源特性与相邻链路故障概率，该方法设计了光节点重要性评估准则和优先映射方法。 In the RA-PVONE, an importance evaluation criteria and priority mapping method of optical nodes are designed.
829 根据候选光路上的可用频谱资源和链路故障概率，设计虚拟链路映射的工作光路和保护光路的链路代价更新公式，仅为不满足可靠性需求的虚拟链路映射资源共享保护光路。 According to the available spectrum resources and link failure probability of candidate opticalpaths, the link cost updating formulas for working and protecting optical paths are designed to map the virtual link. Protection optical paths sharing spectrum resource is only configured for working optical path that do not meet the virtual link's relia-bility requirements.
830 仿真结果表明，所提方法能降低网络的带宽阻塞率，提高虚拟网络请求接受率和弹性光网络的频谱资源利用率。 The simulation results show that the proposed method can reduce the network bandwidth blocking proba-bility, improve virtual network acceptance ratio and the spectrum resource utilization.
831 针对无人驾驶汽车快速准确识别交警指挥手势的需求，本文在分析交警指挥手势的关节铰接特征基础上，建立基于关节点和骨架的交警指挥手势模型; According to the need for driver assistance systems and intelligent vehicles to quickly and accurately identi-fy traffic police command gestures, the articulated features of traffic police gesture is firstly analyzed, and a model based onthe key points and skeletons of the police gesture is established.
832 其次，引入卷积姿势机(Convolutional Pose Machine，CPM)提取交警指挥手势的关键节点， Secondly, the convolutional posture machine (CPM)is in-troduced to extract the key points of the traffic police gesture.