ID 原文 译文
26115 最后，分层图像合成、灰度数值延展和微分算子强化，实现合成图像的灰度延展与细节加强，确保增强图像的颜色均匀、细节突出。 Finally, to ensure the uniform color and the out-standing detail of the composite image, layered image fusion, gray value extension and differential operator detail enhancement are implemented, realizing the grayscale extension and detail enhancement of the composite image．
26116 实验表明，本文算法提高图像对比度和抑制噪声的性能优于其他九种算法。 Experiments show that the performance of the proposed algorithm is better than other nine algorithms in improving image contrast and suppressing noise．
26117 为使三相桥式整流器实现节能运行，提出了一种节能型三相桥式零电流开关整流器拓扑结构，在各相桥臂上的辅助谐振电路处于工作状态时，整流器的开关器件能完成零电流软关断。 In order to achieve energy-saving operation of three-phase bridge rectifier, the topology of an energy-saving three-phase bridge zero-current switching rectifier is proposed. The switching devices of the rectifier can achieve zero-currentturn off when the auxiliary resonant circuit on the bridge arm of each phase is in the working state．
26118 三相桥式整流器通常以绝缘栅双极型晶体管(Insulated Gate Bipolar Transistor，IGBT)作为开关器件，实现零电流软关断能消除 IGBT 拖尾电流产生的关断损耗。 Three-phase bridge rectifier usually uses insulated gate bipolar transistor (IGBT) as switching devices and the realization of zero-current turn off can eliminate the switching loss caused by tail current of IGBT．
26119 分析了电路工作过程，在三相 3kW 样机上的实验结果表明开关器件实现了零电流软切换。 The working process of the circuit is analyzed． The experimental results on a three-phase 3kW prototype show that the switching devices achieve zero-current soft-switching．
26120 因此，该拓扑结构可实现以 IGBT 作为开关器件的三相桥式整流器的节能运行。 Therefore，thistopology can achieve the energy-saving operation of three-phase bridge rectifier which uses IGBT as switching devices．
26121 针对复杂场景下群组行为特征的多样性以及交互关系难以建模的问题，提出一种全新的分层网络架构。 For the diversity of group behavior characteristics in complex scenes and the problem of difficult interaction modeling, this paper proposes a new two-layered network architecture．
26122 第一层网络，利用伪 3D 残差网络与图卷积网络相结合捕获交互关系特征; The first layer of network combines a pseudo 3D residual network with a graph convolution network to capture the interaction characteristics．
26123 第二层网络，利用伪 3D 残差网络捕获群组全局场景时空特征。 The second layer of network, uses the pseudo 3D residual network to capture the group global scene spatio-temporal characteristics．
26124 根据上述特征之间的互补作用对它们的群组行为决策输出，提出一种权重自适应调整决策融合算法，对上面两层网络的群组行为类别自适应计算重要性权重，实现决策融合。 Based on the complementary role of the above features, their group behavior decisions are fused with a weight adaptive adjustment algorithm, which adaptively calculates importance weights for the group behavior categories predicted by the above two channels，and realizes decision fusion of the different prediction results．