ID 原文 译文
4803 实验结果表明，所提算法不仅有效降低了信号中的噪声分量，而且在时域和频域上均达到了较好的恢复效果。 The experimental results show that the algorithm not only effectively reduces the noisecomponent in the signal, but also achieves better recovery effect in both time and frequency domains.
4804 兼顾能量节省与匿名用户的服务质量，结合免费云服务与注册云服务，提出了一种基于休眠模式的新型云架构。 In order to balance the energy conservation and the service quality for anonymous users, a novel sleep-modebased architecture with the free cloud service and the registration cloud service was proposed.
4805 将免费云服务抽象为第一次服务，注册云服务抽象为第二次服务，休眠抽象为休假，建立了一个带有二次可选服务且部分虚拟机异步多重休假的排队模型。 Regarding the free cloud service as the first service, the registration cloud service as the second service and the sleep sate as the vacation, a partialasynchronous multiple vacation queueing model with a second optional service was built.
4806 运用矩阵几何解方法求解排队模型的稳态分布，研究了系统节能率与匿名用户平均响应时间等性能指标。 Applying the method of a ma-trix-geometric solution, the steady-state distribution of the queueing model was derived, and then the energy saving rate of system as well as the average response time of anonymous users were estimated.
4807 综合匿名用户的服务收益与等待服务所消耗的时间成本，建立了收益函数。 By considering the benefits from ac-cessing the cloud service and the time cost on waiting for the cloud service, benefit functions were constructed.
4808 利用数值结果揭示了匿名用户纳什均衡到达率与社会最优到达率之间的关系。 Numeri-cal results were carried out to reveal the relationship between Nash equilibrium arrival rate and social optimal arrival rate of anonymous users.
4809 为实现新型云架构下的社会最优提供理论依据。 The proposed cloud architecture provides a theoretical basis for social optimization.
4810 为有效降低空分复用弹性光网络（SDM-EON）中的能耗、阻塞率及多芯光纤中相邻纤芯间串扰，提出了一种考虑空闲光路预测的节能算法。 To effectively reduce the energy consumption, blocking rate and crosstalk between adjacent cores in a mul-ti-core fiber for space division multiplexing elastic optical network (SDM-EON), an energy-saving algorithm considering idle light-path prediction was proposed.
4811 首先，使用极限学习机模型预测网络中各光路的业务量，得出空闲光路集合与各空闲光路的维持时刻阈值； The extreme learning machine model was used to predict the traffic volume ofeach light-path in the network. Thus the idle light-path set and the maintenance time threshold of each idle light-path were obtained.
4812 然后，通过预测算法感知空闲光路的实际维持时刻； Then, the actual maintenance time of the idle light-path was perceived by the prediction algorithm.