ID 原文 译文
52567 然后，建立一种角度余弦的相似性测度，以频谱实部分量与虚部分量之间的角度阈值来判别数据点所归属的信源; Then, a similarity measure of angle cosine is established, and the angle threshold between the real part and imaginary part of the spectrum is used to determine the source of the data points.
52568 最后，把该角度阈值应用于单源点(SSP)检测中，剔除造成干扰的多源点(MSP)数据，凸显稀疏信源的线性聚类特性。 Finally, the angle threshold is applied to single-sourcepoint(SSP) detection to eliminate the multiple-source-point(MSP) that causes interference and highlights the linear clustering characteristics of sparse sources.
52569 实验结果表明，本文方法可以有效地增强数据的线性聚类特性，实现对信源数量直观地估计。 The experimental results show that the proposed method can effectively enhance the linear clustering characteristics of the observed data and realize the intuitive estimate the number of sources.
52570 云系统中的任务卸载是一种将密集的移动应用程序迁移到云端计算的机制。 Task offloading in cloud computing is a mechanism for migrating intensive mobile applications to cloud environment.
52571 考虑云用户服务质量和云系统能耗水平，在云端引入周期性同步半休眠模式，提出一种云计算任务卸载策略。 By considering the service quality of cloud users and the energy consumption level of cloud system, a periodic synchronous semi-sleep mode is introduced in the cloud and a task offloading strategy is proposed.
52572 针对不同负载情况下的虚拟机服务速率，构建多服务台同步多重工作休假排队模型。 According to the service rates of virtual machine under different loads, a multi-server queueing model with synchronous multiple working vacation is constructed.
52573 基于拟生灭过程和矩阵几何解方法，得到云用户的平均响应时间与云系统的能源消耗。 Using the quasi-birth-and-death process and matrix-geometric solution method, the average response time of cloud users and the energy consumption of cloud system are derived.
52574 进行系统实验，评估卸载策略的系统性能，并验证其有效性。 System experiments are carried out to evaluate the system performance and verify the validity of the offloading strategy.
52575 基于权重分配构建系统成本函数， With the weight factors of different performance measures, a system cost function is constructed.
52576 改进海鸥优化算法，给出云计算任务卸载策略的智能优化方案，实现系统成本的最小化。 By improving a seagull optimization algorithm, the proposed task offloading strategy in cloud computing is optimized with the minimum system cost.