| ID | 原文 | 译文 |
| 5094 | 最后通过对所有算法的综合分析和对比，指出了在未来的研究中，特别是 IPv6 别名解析中，在别名目标集合筛选、指纹选择及推断方法中应注意的问题。 | Finally, through the comprehensive analysis and comparison of all the algorithms, the researchdirections in the future especially in IPv6 alias resolution were pointed out in three folds such as alias target set selection,fingerprint selection and inference methods. |
| 5095 | 为了提高异构携能通信网络能效和顽健性，研究了能效最大的顽健联合发射功率和功率分流资源分配问题。 | To improve energy efficiency and robustness of heterogeneous wireless networks with wireless informationand power transfer, the robust joint transmit power and power splitting resource allocation problem was studied. |
| 5096 | 基于最小最大概率机和 Dinkelbach 理论，将原 NP-hard 问题转换为凸优化形式，提出了分布式对偶资源分配算法，并分析了算法的计算复杂度和顽健灵敏度。 | Based onmini-max probability machine and Dinkelbach method, the original NP-hard problem was transformed into a solvableconvex optimization form, meanwhile a distributed dual resource allocation algorithm was proposed. Additionally, bothcomputational complexity and robust sensitivity were analyzed. |
| 5097 | 仿真结果表明，所提算法在信道不确定性下能同时保障宏蜂窝用户和飞蜂窝用户的服务质量。 | Simulation results show that the proposed algorithm canguarantee the quality of service requirements of macro cellular users and femtocell users under channel uncertainties. |
| 5098 | 针对无线传感器网络中基于 RSS 的多目标定位具有天然稀疏性的问题，提出了基于自适应网格的多目标定位算法，将多目标定位问题分解为大尺度网格定位和自适应网格定位 2 个阶段。 | The RSS-based multi-target localization has the natural property of the sparsity in wireless sensor networks. Amulti-target localization algorithm based on adaptive grid in wireless sensor networks was proposed, which divided themulti-target localization problem into two phases: |
| 5099 | 大尺度网格定位阶段根据序贯压缩感知原理确定最优观测次数，再利用 (0 1)pl p 最优化重构出存在目标的初始网格； | large-scale grid-based localization and adaptive grid-based localization.In the large-scale grid-based localization phase, the optimal number of measurements was determined due to the sequen-tial compressed sensing theory, and then the locations of the initial candidate grids were reconstructed by applying(0 1)pl p optimization. |
| 5100 | 自适应网格定位阶段根据压缩感知原理自适应划分初始网格，再利用pl 最优化重构出目标的精确位置。 | In the adaptive grid-based localization phase, the initial candidate grids were adaptively par-titioned according to the compressed sensing theory, and then the locations of the targets were precisely estimated by ap-plying l p optimization once again. |
| 5101 | 仿真结果表明，相较于传统的基于压缩感知的多目标定位算法，所提算法在目标个数未知的场景下具有更高的定位精度和更低的定位时延，且更适合大规模无线传感器网络的多目标定位问题。 | Compared with the traditional multi-target localization algorithm based on compressed sensing, the simulation results show that the proposed algorithm has higher localization accuracy and lower localizationdelay without foreknowing the number of targets. Therefore, it is more appropriate for the multi-target localization prob-lem in the large-scale wireless sensor networks. |
| 5102 | 面向文本的自动化众包攻击具有攻击成本低、隐蔽性强等特点，这种攻击可以自动生成大量虚假评论，影响用户评论社区的健康发展。 | The text-oriented automated crowdturfing attack has a series of features such as low attack cost and strong con-cealment. This kind of attack can automatically generate a large number of fake reviews, with harmful effect on the healthydevelopment of the user review community. |
| 5103 | 近些年来，有学者研究面向英文评论社区的文本自动化众包攻击，但是鲜有针对中文评论社区的自动化众包攻击的研究， | In recent years, researchers have found that text-oriented crowdturfing attacksfor the English review community, but there was few research work on automated crowdsourcing attacks in the Chinese re-view community. |