ID 原文 译文
21415 该天线可以应用于超宽带无线通信系统和卫星通信系统中。 The antenna can be applied to Ultra-WideBand (UWB) wireless communication systems and satellite communication systems.
21416 协议无感知转发支持任意协议的解析和处理，增强了软件定义网络的可编程能力。 Protocol Oblivious Forwarding (POF) supports the arbitrary protocol processing, enhancing the programmability of Software Defined Networking (SDN).
21417 为提高转发性能，该文提出一种应用于协议无感知转发交换机的流缓存方法，通过识别匹配和动作的依赖关系，得到匹配字段的绝对位置，用以预先解析报文。 In order to improve the forwarding performance, a flow caching method is proposed. To parse the packet in advance, absolute positions of matching fields are obtainedby identifying the dependency of matching and actions.
21418 为确保流缓存的加速效果，根据匹配类型与表项数量选择应用流缓存的流表。 To guarantee the acceleration effect of flow caching, flow tables are selected according to their matching types and number of entries.
21419 此外，该文对比了单流表缓存与多流表缓存对转发性能的提升，并提出了根据网络流量实际情况的自适应切换策略。 In addition, the single-flow table cache and multi-flow table cache are compared and an adaptive switching strategy is proposed based on the actual situation of network traffic.
21420 通过扩展POFSwitch实现所提方法，并用实际规则与骨干网流量进行验证，应用流缓存后，交换机报文转发速率提升了220%。 The POFSwitch is extended to implement the proposed method and it is validated under the real rules and backbone traces. The switch packet forwarding rate is increased by 220% after applying flow caching.
21421 流缓存可以为可编程数据平面提供更高的转发性能。 Flow caching can provide higher forwarding performance for programmable data planes.
21422 复杂的水下环境对水声定位系统的容错性及可靠性提出较高要求，对于长基线/超短基线组合水声定位系统，该文提出基于k-means聚类和决策融合的抗异常参量定位方法(KMCDF)。 Complicated underwater environment puts forward high requirements on the fault-tolerant and reliability of underwater acoustic localization systems. An anti-outlier localization method based on K-Means Clustering and Decision Fusion (KMCDF) is proposed for integrated Long baseline/Ultra-Short BaseLine(L/USBL) systems.
21423 该方法首先通过组合定位系统测量的多参量冗余信息对目标位置进行初步测量，再利用k-means聚类对初测值的聚集度进行分析，根据异常参量与正常参量间的不相容性，采用决策融合方法对异常参量进行识别，进而消除异常值对定位结果的影响。 Firstly, the target position is preliminarily estimated by the multi-parameter redundant information measured by the integrated system. Then, the clustering degree of the preliminary coordinates is analyzed by k-means clustering. According to the incompatibility between outliers and normal parameters, the outliers are identified by the decision fusion method. Furthermore, the impact of outliers on positioning is eliminated.
21424 仿真分析表明，与现有的基于时延参量的抗异常值方法相比，提出的抗异常值定位方法充分融合了多参量观测信息，对异常值的容忍度较高。 Simulation analysis shows that the proposed method fully incorporates the multi-parameter information, and the tolerance of outliers is better than the existing anti-outlier positioning methods based on the time-delay parameter.