ID 原文 译文
17425 该方法利用原模图外信息转移(P-EXIT)算法理论分析基础矩阵的译码门限，引入差分进化思想搜索一定条件下最优的边扩展方式。 In the proposed method, the differential evolution algorithm is introduced to search the best edgespreading mode based on the decoding threshold calculated by Protograph-based EXtrinsic InformationTransfer (P-EXIT) analysis.
17426 理论分析与系统仿真结果均表明所提边扩展优化方法比现有的方法具有更好的性能。 Both P-EXIT analysis and simulation results indicate that the proposed edgespreading optimization method can achieve better performance.
17427 针对传统基于属性关键字搜索(ABKS)方案存在访问结构泄密、用户侧计算量高及缺乏完整性验证问题，该文提出具有隐私保护和完整性可验证的基于属性的关键字搜索方案。 To address the problems of the leakage of access structure, high computation of user side and lack of integrity verification in current Attribute-Based Keyword Search (ABKS) scheme, a verifiable attribute-based keyword search scheme with privacy preservation is proposed.
17428 该方案提出了有序多值属性访问结构和有序多值属性集，固定每个属性的位置，减少参数及相关计算，提高了方案的效率，而在密钥生成时计算具体属性取值的哈希值，从而达到区别多值属性取值的不同。 The scheme adopts the ordered multi-valuedattribute access structure and ordered multi-valued attribute set, and fixes the position of each attribute toreduce the parameters and related computation cost and to improve the efficiency of the scheme, while in keygeneration, the Hash values of specific attributes are calculated to distinguish the different values of multi-valued attributes.
17429 同时，采用Hash和对运算实现对访问结构的隐藏，防止访问结构泄密； At the same time, Hash and pair operation are used to hide the access structure and preventthe disclosure of the access structure.
17430 采用倒序索引结构和Merkle树建立数据认证树，可验证云服务器返回文档和外包解密结果的正确性。 The inverted index structure and Merkle tree are used to establish thedata authentication tree, which can verify the correctness of the document returned by the cloud serverprovider and the result of outsourced decryption.
17431 此外，支持外包解密以降低用户侧的计算量。 In addition, outsourced decryption is used to reduce thecomputation cost on the user side.
17432 安全分析和实验表明所提方案实现云中共享数据的可验证性、关键字不可区分性和关键字不可链接性，且是高效的。 Finally, formal proofs and experimental results show that the scheme achieveverifiability of shared data in the cloud, keyword undistinguishable and keyword unlinkable, and is efficient.
17433 针对传统模糊C-均值聚类(FCM)算法难以对噪声图像进行分割的问题，该文提出一种快速自适应非局部空间加权与隶属度连接的模糊FCM抗噪图像分割算法。 Considering the problem of the low anti-noise performance when Fuzzy C-Means clustering (FCM)algorithm is applied to image segmentation, a FCM clustering algorithm with fast and adaptive non-local spatialconstraint and membership linking is proposed in this paper.
17434 首先，利用一种非局部空间信息快速计算方法，将以图像所有像素为循环的原始非局部信息计算方法，改为以搜索窗口尺寸为循环，利用空间位移图像与递归高斯滤波的计算方法，克服非局部空间信息计算复杂的问题； Firstly, in order to increase the computing speedof non-local spatial term, a fast method is proposed by modifying the loop based on all pixels in an image into a loopbased on search window and by utilising spatial shift image and recursive Gaussian filter.