| ID | 原文 | 译文 |
| 18935 | 资源传输过程是网络演化连边产生的重要内在动力，通过分析节点间资源传输路径周围拓扑的有效性，该文提出一种基于资源传输路径有效性的链路预测方法。 | The resource transmission process is an important internal driving force for the evolution of the network. By analyzing theeffectiveness of the topology around the resource transmission path between nodes, a link prediction methodbased on topological effectiveness of resource transmission paths is proposed. |
| 18936 | 该方法首先分析了节点间潜在的资源传输路径对资源传输量的影响，提出资源传输路径有效性的量化方法。 | Firstly, the influence of potential resource transmission paths between nodes on resource transmission is analyzed, and a quantitative method for resource transmission path effectiveness is proposed. |
| 18937 | 然后，基于资源传输路径的有效性，通过对双向资源传输量进行刻画，提出了节点间传输路径的有效性指标。 | Then, based on the effectiveness of the resource transmission path, after studying the two-way resource transmission amount between two nodes, the transmission path effectiveness index is proposed. |
| 18938 | 在12个实际网络数据集上的实验测试表明，相比其他基于相似性的链路预测方法，该方法在AUC和Precision衡量标准下能够取得更好的效果。 | The experimental results of 12 real networks show thatcompared with other link prediction methods, the proposed method can achieve higher prediction accuracy under the AUC and Precision metrics. |
| 18939 | 在异构无线网络中，针对综合考虑网络端和用户端参数的垂直切换算法，参数权重难以确定，同时基于模糊逻辑的垂直切换算法存在复杂度高的问题，该文提出一种基于模糊逻辑的分级垂直切换算法。 | In the heterogeneous wireless networks, the parameter weight is difficult to determine for the vertical handover algorithm considering the parameters of the network and the user, at the same time, the vertical handover algorithm based on fuzzy logic has high complexity. Considering this problem, a hierarchical verticalhandover algorithm based on fuzzy logic is proposed. |
| 18940 | 首先，将接收信号强度(RSS)、带宽、时延输入到1级模糊逻辑系统，结合规则自适应匹配，推理出QoS模糊值，并通过QoS模糊值对网络进行初步筛选得到候选网络集； | Firstly, the Received Signal Strength (RSS), bandwidthand delay are input into the first-level fuzzy logic system. Combining with the rule adaptive matching, the QoS fuzzy value is inferred, and the network is initially filtered by the QoS fuzzy value to obtain the candidate network set; |
| 18941 | 然后通过触发机制触发2级模糊逻辑系统，并将候选网络的QoS模糊值、网络负载率、用户接入费用输入2级模糊逻辑系统，同时结合规则自适应匹配，得到输出判决值，从而选择最佳接入网络。 | Then, the second-level fuzzy logic system is triggered by the trigger mechanism, and the QoS fuzzy value, network load rate and user access cost of the candidate network are input into the second-level fuzzy logic system. At the same time, the output decision value is obtained by combining the adaptive rule matching,so as to select the best access network. |
| 18942 | 最后，实验结果表明，该算法能保证网络性能的同时，降低系统的时间开销。 | Finally, the experimental results show that the algorithm can guaranteethe network performance while reducing the time cost of the system. |
| 18943 | 针对现有脑机接口(BCI)分类器与大脑认知过程结合不够紧密的问题，该文提出一种基于Chernoff加权的分类器集成框架方法，并用于同步运动想象脑机接口中。 | For the problem that the classifier is less considered to be combined with the brain's cognitive processin the Brain-Computer Interface (BCI) system, a Chernoff-weighted based classifier integrated frame method isproposed and used in synchronous motor imagery BCI. |
| 18944 | 通过对训练数据进行统计分析，获得各时刻脑电信号(EEG)的统计特性，并建立基于大脑认知过程的高斯概率模型。 | In the method, the statistic characteristics of ElectroEncephaloGraphy (EEG) are obtained by analyzing in each time point of synchronous BCI, |