ID 原文 译文
22895 该文基于 q-type  假设在标准模型下对方案进行了选择访问结构明文攻击的安全性证明。 Note that, the proposed scheme is proved selectively secure in the standard model under "q-type" assumption.
22896 最后对方案进行了性能分析与实验验证，实验结果表明，与已有相关方案相比，虽然为了实现属性撤销，增加了存储中心的计算负载，但是不需要属性中心的参与，因此降低了属性中心的计算负载，而且用户除了密钥外不需要其它额外参数来实现属性撤销，因此大大节省了存储空间。 Finally, the performance analysis and experimental verification are carried out in this paper, and the experimental results show that, compared with the existing revocation schemes, although the proposed scheme increases the Computational load of Storage service Provider (CSP) in order to achieve the attribute revocation, it does not need the participation of Attribute Authority (AA), which reduces the computational load of AA. Moreover, the user does not need any additional parameters to achieve the attribute revocation except of the private key, thus saving the storage space greatly.
22897 SL0 算法采用最速下降法和梯度投影原理，将选取的平滑函数逼近0l 范数，以求解最优化问题实现信号重建。 Smoothed 0l (SL0) norm algorithm, using the steepest descent method and gradient projection principle, approaches to 0l  norm with selected smooth function, so as to solve the optimization problem and achieve signals reconstruction.
22898 针对平滑函数逼近性能、算法精确度和算法运算量 3 个方面进行研究，该文提出一种高效地实现信号重构的算法 ICTF-SL0 算法。 A reconstruction algorithm Improved Composite Trigonometric Function (ICTF-SL0) is proposed, researching approximation of smooth function, precision and calculation load of the algorithm.
22899 首先，选取复合三角函数作为平滑函数，同时以加权的方式引入全变差(Total Variation, TV)设定约束条件； Firstly, composite trigonometric function is chosen as the smooth one, meanwhile constraint condition is designed by adding Total Variation (TV) as a weight value.
22900 其次，采用 Chaotic 迭代代替矩阵分解实现梯度投影。 And then, matrix decomposition is alternated by using Chaotic iteration to accomplish gradient projection.
22901 仿真结果证明，相比 SL0 及其他改进算法，ICTF-SL0 能够提高成像精度，降低运算负担，实现稀疏阵列 MIMO 雷达单快拍成像。 Finally, by contrast with origin SL0 algorithm and other improved algorithms, simulation results demonstrate that ICTF-SL0 algorithm can availably improve imaging precision, decrease calculation load and achieve signal snapshot imaging under sparse array MIMO radar.
22902 航空磁法勘探是一种高效、便捷的地球物理勘探方法。 Aeromagnetic prospecting is an important method in geophysical prospecting for its high-efficiency and convenience.
22903 该文针对无人机飞行平台设计了一种航磁全轴总场梯度测量系统，并提出使用前馈网络的方法来实现航磁数据的补偿。 In the paper, a new kind of the three axis gradient system based on the unmanned helicopter is designed and an aeromagnetic compensation method based on the neural network is proposed.
22904 系统通过 4 个光泵磁力仪获得全轴总场梯度数据，经过前馈网络实现数据补偿后，全轴总场梯度数据补偿质量的提升比分别为 15.2, 4.7 和 5.9，数据峰值信噪比的提升分别为 17.1 dB, 6.5 dB 和 6.5 dB，交叉标定系数表明前馈网络具有很好的泛化性能。 The system is equipped with four Optically Pumped Magnetometers (OPMs), from which the three axis gradient data can be achieved. In aeromagnetic compensation, the feedforward network is used. The Improvement Ratio (IR) of the three axis gradient data is 15.2, 4.7 and 5.9, respectively. The Peak Signal to Noise Ratio (PSNR) of the three axis gradient data is improved by 17.1 dB, 6.5 dB and 6.5 dB, respectively. Through the result of the Cross Calibration Index (CCI), the generalization ability of the method is good.