ID 原文 译文
58058 基于 DIKW资源概念将现有知识图谱概念扩展为数据图谱、信息图谱和知识图谱，进而提出了一种基于相同内容的不同资源表达处理效率差异和转换代价差异的可自动抽象调整的隐私保护解决架构.根据要保护隐私目标的以计算代价衡量的保护程度，制定将目标资源转换为何种类型资源. Based on the DIKW resource concept，the existing knowledge map concept is extended to data graph，information graph and knowledge graph. An automatic abstract adjustment privacy protection solution is presented based on the difference of the processingefficiency of the same content expressed in different types of resources.
58059 通过对目标资源保护者的投入保护代价和攻击者的攻击代价的差异进行衡量，选择最优的转换程度. Protection is specified as whattypes of resources to be converted and how much the conversions to be performed towards an optimal solution balancing the comprehensive value of both the investment of the protection side and the cost of attackers.
58060 针对终端用户开发与部署网络服务的问题，提出了一个基于网络功能虚拟化技术的网络服务编排环境. We propose a network service orchestration environment based on network function virtualization ( NFV) technology to help end users develop and deploy network services.
58061 该环境主要包含 3 部分: The environment includes:
58062 虚拟网络功能数据模型用于适配异构的网络功能，将网络功能以可视化的形式呈献给用户; a virtual network function data model for adapting heterogeneous network functions; a development environment to assist users in the design of network service processes; and a deployment environment to assist users in the deployment and execution of network services.
58063 服务编排环境用于协助用户完成网络服务流程的设计;服务执行环境用于协助用户完成网络服务的部署与运行. Finally，user-oriented experiments and system performance experiments were conducted to evaluate the network service generation environment.
58064 3部分构成了轻量级虚拟网络功能编排工具( LVO) .将该工具引入相应的开发方法，用户可以在网页浏览器上通过易用的图形化界面“设计即开发”的方式开发网络服务.通过面向用户的实验和系统性能实验，评估了该网络服务生成环境.评估结果表明，LVO 可有效降低普通用户的工具学习时间，提高网络服务开发的正确率. Our evaluation shows that lightweight virtualization orchestrator can effectively reduce the toollearning time of ordinary users and improve the development accuracy of network services.
58065 针对低信噪比( SNＲ) 和复杂电磁环境条件下跳频参数估计精度低及算法复杂度高的问题，提出了一种短时傅里叶变换( STFT) 和平滑伪魏格纳分布( SPWVD) 的组合时频分析方法. To solve low accuracy of parameter estimation and high complexity of algorithms in frequencyhopping signal under low signal-to-noise ratio ( SNＲ) and complex electromagnetic environment，a newalgorithm combined short-time Fourier transform ( STFT) with smoothed pseudo Winger-Ville distribution( SPWVD) is proposed.
58066 该算法首先利用 STFT 将天线接收信号变换到时频域，并对时频信号进行自适应降噪处理; Firstly，the received signals are converted to time-frequency domain by usingSTFT，and then adaptive noise reduction is used in time-frequency domain.
58067 通过自适应聚类算法进行频率的精估计; Secondly，the accurate frequency is estimated by adaptive clustering algorithm.