| ID | 原文 | 译文 |
| 5494 | 在明文环境下根据用户的兴趣模型以及查询关键词能够获得用户个性化的搜索结果会导致敏感数据和用户隐私信息的泄露，不利于含有敏感数据的云搜索服务的推广，鉴于此，数据通常以密文的形式存储在云服务器中。 | In the plain text environment, users' personalized search results can be obtained through users' interest modeland query keywords. However, it may possibly result in the disclosure of sensitive data and privacy, which prevents usingsensitive data in cloud search. Therefore, data is generally stored in the form of ciphertext in the cloud server. |
| 5495 | 用户在使用云搜索服务时，希望在海量的密文中快速地获得自己想要的搜索结果。 | In the process of cloud search service, users intend to quickly obtain the desired search results from the vast amount of cipher-text. |
| 5496 | 为了解决这一问题，在个性化搜索中提出了一种基于多边缘服务器的隐私保护方法， | In order to solve the problem, it was proposed that a method of privacy protection based on multiple edge servers inpersonalized search shall be used. |
| 5497 | 该方法通过引入多个边缘服务器，并通过切割索引与查询矩阵，实现了在边缘服务器上计算部分用户查询与部分文件索引之间的相关性得分， | By introducing multiple edge servers and cutting the index as well as the query matrix,the computing relevance scores of partial query and partial file index are achieved on the edge server. |
| 5498 | 云服务器只需要将边缘服务器上得到的相关性得分做简单处理即能返回与用户查询最相关的前 K 个文件，使其特别适用于大量用户在海量密文中的个性化搜索。 | The cloud serveronly needs to get the relevance score on the edge server and make a simple processing that can return to the most relevantTop K files by user query, so as to make it particularly suitable for a large number of users in the massive personalized ciphertext search. |
| 5499 | 安全分析和实验结果表明，该方法能很好地保护用户的隐私以及数据的机密性，并具有高效的搜索效率，能为用户提供了更好的个性化搜索体验。 | Security analysis and experimental results show that this method can effectively protect users' privacyand data confidentiality. In addition, it can guarantee high efficiency in search to provide better personalized search expe-rience. |
| 5500 | 针对基于软件定义网络（SDN）的复杂结构中不同资源效用目标共存、资源选择策略相互影响的问题，提出了一种基于 SDN 的网络资源选择多目标优化算法。 | For the problem of coexistence of different resource utility objectives and mutual influence of resource selec-tion strategies in the complex structure of software-defined network (SDN), an SDN based network resource selectionmulti-objective optimization algorithm was proposed. |
| 5501 | 该算法综合考虑资源供给方和客户方对资源效用的不同优化目标，构建资源选择多目标优化模型，并采用基于参考矢量的多目标优化算法对模型求解。 | The optimization goals of resource providers and clients were tak-en into account in the algorithm, and a resource selection multi-objective optimization model was constructed. The modelwas further solved by the reference vector based multi-objective optimization algorithm. |
| 5502 | 仿真结果表明，与其他资源优化算法相比，所提算法能够快速收敛得到均匀分布的非劣解集，均衡基于 SDN 资源接入管理时多方的优化目标。 | Simulation results show thatcompared with other algorithms, the proposed algorithm could quickly converge to the uniformly distributed non-inferiorsolution set, and balance the optimization objects of multi-party in SDN based resource access management. |
| 5503 | 提出了一种基于海杂波中目标幅度信息的稳健多伯努利滤波器，利用海杂波和目标的幅度信息改进量测似然，当目标与杂波相距较近时，能够更好地区分目标和杂波，提升对海探测环境下雷达的多目标跟踪性能。 | A robust multi-Bernoulli filter based on the amplitude information of the target in sea clutter was proposed, inwhich the amplitude information of the target and sea clutter was exploited to improve the measurement likelihood.Therefore, the proposed approach could distinguish targets from clutter better when they were spatially close, which fur-ther enhanced the ability to track targets in marine radar detection applications. |