ID	原文	译文
54167	首先，利用随机几何理论推导连接中断概率和安全中断概率的闭合表达式分别表征系统的可靠性和安全性;	Firstly, the closed-form expressions of connection outage probability and security outage probability are derived by using random geometry theory to characterize the reliability and security of the system of respectively.
54168	然后，综合考虑系统的可靠性和安全性，提出最大化安全吞吐量的优化方案;	Next, considering the reliability and security of the system, an optimization scheme is proposed to maximize the security throughput.
54169	最后，仿真结果表明所提方案与其他方案相比提高了系统的安全吞吐量。	Finally, Simulation results show that the proposed scheme improves the system's security throughput compared with other schemes.
54170	为了提高时序行为检测网络的分类精度和时序上的定位精度，本文提出了一种改进的区域3D卷积神经网络(Region Convolutional 3D Network，R-C3D)。	In order to improve the classification accuracy and the temporal positioning accuracy of the temporal action detection network, this paper proposes an improved Region Convolutional 3 D neural network(R-C3 D).
54171	在时序候选子网中，通过逐层空间卷积把特征图的高宽由(H/16，W/16)变为(1，1)，提高行为的分类精度，通过卷积-反卷积网络(Convolutional-De-Convolutional Networks，CDC)里反卷积的思想，使用时域反卷积网络增加特征图长度，提高时域上行为的定位精度。	In the temporal proposal subnet, the height and width of the feature map is changed from(H/16, W/16) to(1, 1) through layer-by-layer spatial convolution. So the classification accuracy is improved. According to the idea of deconvolution in Convolutional-De-Convolutional Networks(CDC), the time domain deconvolution network is used to increase the length of the feature map and improve the temporal positioning accuracy of the behavior.
54172	在THUMOS14数据集的实验结果表明：与R-C3D相比，本文提出的方法在长时序未分割视频上有较高的检测精度。	The experimental results on the THUMOS14 data set show that the proposed method has better detection accuracy than R-C3 D on long-time unsegmented videos.
54173	针对语音通信系统中由于干扰、音频源不稳定等因素导致的接收端语音突变或响度不一致的问题，提出一种变步长最小均方误差自适应增益控制(VSSLMS-AGC，variable step size least mean square-adaptive gain control)新方案。	Aiming at the problem of sudden changes or inconsistent loudness at the receiving end caused by factors such as interference and unstable audio sources in the voice communication system. A new VSSLMS-AGC(variable step size least mean square-adaptive gain control) method is proposed.
54174	该方案首先利用指数加权移动平均记录历史梯度信息，	First the method uses exponentially weighted moving average to record historical gradient information.
54175	以此来调节最小均方误差算法的步长，使算法收敛速度更快，稳态误差更小;	This can adjust the step size of the least mean square algorithm, to make the algorithm converge faster and stabilize the error smaller.
54176	然后将变步长思想运用到自动增益控制中，确保能够自适应地调节语音增益值，使原先幅值不一的音频信号输出范围恒定且不失原有的特性，	Then the variable step size idea is applied to automatic gain control, to ensure that the voice gain value can be adjusted adaptively so that the output range of the original audio signal with different amplitudes is constant without losing the substantial characteristics.