ID	原文	译文
5014	当前的研究工作针对如何保证时延敏感流的传输时间进行了大量研究，但普遍存在时效性不够强的问题。	Previous work had studied how to ensure the transmission time of delay-sensitive flows, but falled short in itseffectiveness for a given period.
5015	基于 SDN/OpenFlow 架构，提出了数据源端控制算法 SSRC。	Motivated by that and based on SDN/OpenFlow framework, a SDN-based source ratecontrol (SSRC) algorithm was proposed.
5016	该算法依据网络的全局视图，快速定位拥塞可能发生的节点，并及时对目标流的源端速率进行调节，可以缩短算法的响应时间。	With a global view of network, SSRC can quickly locate the potential conges-tion node, adjust the transmission rate of source and reduce the response time of SSRC.
5017	实验结果表明，与DCTCP 等算法相比，所提算法的流完成时间平均缩短了 75%，且能够保证时延敏感流的传输时间，很好地解决 Incast 问题。	The experiment results show thatcompared with DCTCP and other algorithms, SSRC can shorten the completion time of flows by 75% in average, whichcan ensure the transmission time of delay-sensitive and solve the problem of Incast well.
5018	提出了面向广域信息管理系统（SWIM）的多 QoS 约束条件的蚁群优化任务调度算法（QoS-ACO）。	An ant colony optimization task scheduling algorithm based on multiple quality of service constraint(QoS-ACO) for SWIM was proposed.
5019	针对 SWIM 中用户对任务请求完成服务质量（QoS）的要求，综合考虑任务完成时间、执行安全性和可靠性因素，构造了新的用户综合满意度评价函数和系统任务调度模型，使用 SWIM 中业务调度 QoS 总效用评价函数来更新蚁群算法中的信息素。	Focusing on the multiple quality of service (QoS) requirements for task requestscompleted in system-wide information management (SWIM), considering the task execution time, security and reliabilityfactors, a new evaluate user satisfaction utility function and system task scheduling model were constructed.
5020	仿真实验结果表明，同等条件下 QoS-ACO 算法在任务完成时间、安全性、可靠性和 QoS总效用值方面都优于传统 Min-Min 算法和粒子群优化算法，满足用户的任务调度服务质量要求，较好地完成了SWIM 调度任务。	Using theQoS total utility evaluation function of SWIM service scheduling to update the pheromone of the ant colony algorithm.The simulation results show that under the same conditions, the QoS-ACO algorithm is better than the traditional Min-Min algorithm and particle swarm optimization (PSO) algorithm in terms of task completion time, security, reliabil-ity and quality of service total utility evaluation value, and it can ensure that the user's task scheduling quality of service requirements are met, and can better complete the scheduling tasks of the SWIM.
5021	利用压缩感知实现运动目标的稀疏成像时，运动引起的多普勒频移会增加模型维度，改变回波的中心频率，并影响测量矩阵的互相干特性。	When compressive sensing (CS) was used to achieve sparse imaging of moving targets, the Doppler frequencycaused by motion will increase the processing dimension, change the center frequency of echo and worsen the mutual coherence property of measurement matrix.
5022	为了改善 MIMO 雷达对运动目标的三维成像性能，提出了一种高效的成像方法，在各维分别搜索目标的分布信息，并由该信息作为索引重构新的低维测量矩阵，借此缩小目标区域范围，	In order to improve the three-dimensional (3D) imaging performance ofMIMO radar for moving targets, an efficient method was proposed. In each dimension, the distribution information oftargets was searched respectively and a new low-dimensional measurement matrix was reconstructed accordingly, so thetargets' area was narrowed down.
5023	同时基于测量矩阵的互相干性，应用贝叶斯方法实现多普勒维度投影矩阵的优化，降低多普勒频率采样带来的强相干性，实现高效稀疏成像。	At the same time, in order to optimize the mutual coherence property of measurement matrix, Bayesian method was used to optimize the velocity-dimensional projection matrix to reduce the strong mutual coherence brought by sampling of Doppler frequency, then the efficient sparse imaging could be achieved.