ID 原文 译文
47316 该算法将一种改进的可控响应功率函数作为定位函数，通过计算粒子所在矩形区域的可控响应功率值，改进的可控响应功率函数可以得到更加顽健的声源位置估计；同时，将检测前跟踪技术应用于跟踪算法中，可以免于重复计算处于同一区域的量测值，从而在保证跟踪精度的前提下大幅减少跟踪算法的运算量。 This algorithm used a modified steered response power as localizationfunction which take into account a rectangular region to achieve more robust source location estimation than steeredresponse power function and applied track-before-detect technology to avoid reduplicate calculation of the samerectangular region so that the algorithm could reduce the computation burden without decreasing the accuracy.
47317 经仿真实验验证，改进算法在低信噪比、强混响的环境中能够得到比传统跟踪算法更精确的跟踪结果。 The simulation results verified that the proposed algorithm can achieve more accurate tracking results than traditional trackingalgorithm in a noisy and reverberant environment.
47318 针对传统基于标签传播的重叠社区识别方法存在较强的随机性，以及需要预设相关阈值来辅助完成社区识别等缺陷，提出基于多核心标签传播的重叠社区识别方法(OMKLP)。 In view of the strong randomness and pre-setting the related threshold of traditional overlapping communitydetection method based on label propagation, overlapping community detection in complex networks based on multikernel label propagation (OMKLP) was proposed.
47319 在分析节点度以及节点与邻居节点的局部覆盖密度后提出核心节点评价模型， Evaluation model of kernel nodes was proposed after analyzing thenode’s degree and local covering density of nodes and their neighbor nodes.
47320 并在此基础上给出局部核心节点识别方法； And on this basis, the detection method oflocal kernel nodes was also presented.
47321 基于局部核心节点，提出新的面向重叠社区的异步标签传播策略，该策略能够快速地识别出社区内部节点与边界节点，以获得重叠社区结构； Based on local kernel nodes, a new asynchronous label propagation strategyoriented to overlapping community was proposed, which can rapidly distinguish inner nodes and outer nodes of commun-ities so as to obtain overlapping community structure.
47322 提出重叠节点分析方法，进一步提高识别重叠节点准确度。 The analysis method of overlapping nodes was proposed to in-crease the accuracy of detecting overlapping nodes.
47323 OMKLP 算法无需掌握任何先验知识，仅在掌握网络基本信息(点、边)基础上，便能够准确识别出重叠社区结构， Without any prior knowledge, only on the basis of the basic networkinformation (nodes and links), the algorithm can detect the structure of overlapping communities accurately.
47324 从而有效解决了传统标签传播算法所存在的缺陷。 Therefore, iteffectively solved the defect of the traditional label propagation algorithm.
47325 在基准网络和真实网络上进行测试，并与多个经典算法进行对比分析， The algorithm was tested over benchmarknetworks and real-world networks and also compared with some classic algorithms.