ID	原文	译文
9184	针对以上问题,本文设计一个随机性感知的调度框架;	‭⁣⁣⁣⁣To solve above problems, this paper design a stochastic scheduling framework of perception;
9185	提出一个启发式调度算法集成前摄性和反应式策略(proactive and reactive strategy,PRS)来对任务进行调度,以提高云系统保障实时任务时效性的能力;	A heuristic scheduling algorithm integrated proactive and reactive strategies (proactive and reactive strategy, PRS) to scheduling tasks, in order to improve the timeliness of cloud system security real-time tasks ability;
9186	并提出3个计算资源伸缩策略来动态调整计算资源,以减少能量消耗。	And put forward three expansion strategy to dynamically adjust the computing resources, computing resources in order to reduce energy consumption. ‭⁣⁣⁣⁣
9187	最后,通过实验将算法PRS的性能与其他4个算法进行比较。	Finally, the algorithm through the experiment of PRS performance comparing with other four algorithms.
9188	实验结果表明,在任务完成率和能耗方面,算法PRS的性能比已有算法提高13.‭⁣⁣⁣⁣85%和17.‭⁣⁣⁣⁣23%。	‭⁣⁣⁣⁣The experimental results show that the task completion rate and energy consumption, algorithm performance than the existing algorithm of PRS increased by 13. ‭⁣⁣⁣⁣85% and 17. ‭⁣⁣⁣⁣23%.
9189	针对现行航空四站保障效能评估方法单一、评估偏差较大的问题,提出基于组合权重方法的组合评估模型。	In view of the current aviation four security effectiveness evaluation method of the single, evaluation of the deflection problem, put forward the combination evaluation model based on combination weighting method.
9190	详细介绍了航空四站保障效能组合评估模型的建立过程,分别运用6种综合评价方法对该问题进行了评估分析,在对各评价结果进行事前一致性检验之后通过一定的组合算法实施组合评估。	And introduces in detail the four stations to ensure efficiency of the combination of the process of establishing evaluation model, respectively by using 6 kinds of comprehensive evaluation method on the analysis of the problems were evaluated after the consistency check in advance of the evaluation results by the combination of algorithm implementation of portfolio assessment.
9191	经过事后一致性检验发现该组合评估方法有效,可以对现行的效能评估工作进行组合评估改进。	And through the consistency check later found that the combination evaluation method is effective and can work effectiveness evaluation of the existing portfolio assessment.
9192	为了提高分布式多输入多输出(multiple input multiple output,MIMO)雷达的目标定位精度,分析了阵元、发射功率和信号带宽对定位精度的影响,进而提出一种将三者联合优化的资源分配算法。	In order to improve the distributed multiple input multiple output (multiple input multiple output, MIMO) of radar target positioning accuracy, analyzes the emitting power and signal bandwidth, influence on positioning accuracy, and then puts forward a combined optimization of resource allocation algorithm.
9193	首先,以最小化目标的平方位置误差下限(squared position error bound,SPEB)为目标函数,建立了包含阵元、功率和带宽3个变量的优化模型;‭	‭First of all, to minimize the square of the target position error threshold (squared position error bound, SPEB) as objective function, contains the array is built, power and bandwidth optimization model of the three variables;