ID 原文 译文
45566 由于没有使用公钥密码技术，而是利用 XOR 同态函数和散列函数生成认证信息，从而有效降低了智能卡和云服务器的计算费用。 Because there was no public key cryptography, the authentication messages was generated by using XOR homomorphic function and Hash function, thus the computational cost of the smart card and the cloud servers was reduced effectively.
45567 此外，所提方案也不需要在多云端存储任何用户的信息，降低了云服务器的存储和管理费用。 Moreover, the proposed scheme also didn’t need to store any user’s information on the cloud servers,thereby reducing the storage and management costs of the cloud servers.
45568 安全性分析和性能分析表明，所提方案能抵御多种攻击，是一个安全、高效的方案。 The security analysis and the performance analysis show that the proposed scheme is able to resist multiple attacks, which is secure and efficient.
45569 为提高交通场景的语义分割精度，提出一种基于 RGB-D 图像和卷积神经网络的分割方法。 In order to improve the semantic segmentation accuracy of traffic scene, a segmentation method was proposed based on RGB-D image and convolutional neural network.
45570 首先，基于半全局立体匹配算法获取视差图 D，并将其与 RGB 图像融合成四通道 RGB-D 图像，以建立样本库； Firstly, on the basis of semi-global stereo matching algorithm,the disparity map was obtained, and the sample library was established by fusing the disparity map D and RGB image in-to the four-channel RGB-D image.
45571 其次，对于2 种不同结构的卷积神经网络，分别采用 2 种不同的学习率调整策略对网络进行训练； Then, with two different structures, the networks were trained by using two different learning rate adjustment strategy respectively.
45572 最后，对训练得到的网络进行测试及对比分析。 Finally, the traffic scene semantic segmentation test was carried out with RGB-D image as the input, and the results were compared with the segmentation method based on RGB image.
45573 实验结果表明，基于 RGB-D 图像的交通场景语义分割算法得到的分割精度高于基于 RGB图像的分割算法。 The experimental results show that the proposed traffic scene segmentation algorithm based on RGB-D image can achieve high-er semantic segmentation accuracy than that based on RGB image.
45574 时空标签轨迹在传统的时空轨迹数据基础之上融入了具有语义含义的标签信息，丰富了移动对象数据。针对该数据提出 k 近邻模式匹配查询，即在给定时间区间内匹配相应的模式且距离查询轨迹最近的 k 条轨迹。 Spatio-temporal label trajectories extended traditional spatio-temporal trajectories with semantic labels knearest neighbor pattern match was proposed to return the k nearest trajectories that fulfilled the temporal pattern condition.
45575 设计并实现标签 R 树（LR-Tree），即增加标签表并在 R 树每项中添加标签位图，及基于 LR-Tree 的 k 近邻模式匹配查询算法。 The Label R-Tree (LR-Tree for short) was proposed, which appending a label table and adding label bitmap in each entry, and k nearest neighbor pattern match query algorithm based on LR-Tree was designed.