| ID | 原文 | 译文 |
| 18575 | 该文使用极坐标正弦变换(PST)特征对图像进行Copy-move篡改检测，将待检测图像转换成灰度图并进行PST特征提取， | Polar Sine Transform (PST) is used to detect Copy-move forgeries in the paper，and the image to be detected is transformed into gray scale image and feature extraction is carried out by PST. |
| 18576 | 并采用改进的快速近似最近邻搜索算法PatchMatch对特征描述符进行匹配，以克服匹配全局描述符带来的处理时间较长的缺点。 | Improved PatchMatch, a fast approximate nearest neighbor search algorithm, is used to match feature descriptors to overcome the problem of long time consuming caused by matching global descriptors. |
| 18577 | 实验分析表明，该文所提方法不仅对图像的线性Copy-move篡改和旋转干扰篡改有很好的效果，而且对噪声和JPEG压缩干扰篡改也具有一定的鲁棒性。 | Experiments show thatthe proposed method is not only effective for linear Copy-move forgeries and rotation interference forgeries, butalso robust to noise and JPEG compression interference forgeries. |
| 18578 | 最后对综合干扰篡改实验测试发现，在综合篡改幅度较小的情况下，准确率可以达到98.0%。 | Finally, the experimental results of synthetic interference forgeries show that the accuracy can reach 98.0% when the synthetic forgeries range is small. |
| 18579 | 该文针对双层非正交多址系统(NOMA)中基于能量效率的资源优化问题，该文提出基于双边匹配的子信道匹配方法和基于斯坦科尔伯格(Stackelberg)博弈的功率分配算法。 | A subchannel matching method based on bilateral matching and a power allocation algorithm basedon Stackelberg game are proposed for two-tier Non-Orthogonal Multiple Access (NOMA) network. |
| 18580 | 首先将资源优化问题分解成子信道匹配与功率分配两个子问题， | Firstly, the resource optimization problem is decomposed into two subproblems—sub-channel matching and power allocation. |
| 18581 | 在功率分配问题中，将宏基站与小型基站层视作斯坦科尔伯格博弈中的领导者与追随者。 | In the power allocation, the macro base station layer and small base station layer are regarded asthe leader and followers in the Stackelberg game. |
| 18582 | 然后将非凸优化问题转换成易于求解的方式，分别得到宏基站和小型基站层的功率分配。 | Then, the non-convex optimization problem is converted intoa way to be easily solved, and the power allocation of the both layers are obtained respectively. |
| 18583 | 最后通过斯坦科尔伯格博弈，得到系统的全局功率分配方案。 | Finally, theglobal power allocation scheme of the system is obtained by using Stackelberg game. |
| 18584 | 仿真结果表明，该资源优化算法能有效地提升双层NOMA系统的能量效率。 | The simulation results show that the proposed resource optimization algorithms can effectively improve the energy efficiency of the two-tier NOMA system. |