ID 原文 译文
39306 实验结果表明，在不同量化参数的重压缩编码攻击、基于帧及重压缩编码混合攻击和信号处理及重压缩编码混合攻击下，本文算法具有良好的鲁棒性。 The experimental results show that the proposed algorithm has excellent robustness under different quantization parameters which can resist recompression coding attack, hybrid attacks of frame-based and recompression coding and hybrid attacks of signal processing and recompression coding.
39307 无人车通常无法探测到人类司机的分心行为，这将导致无人车延迟地采取紧急制动来避免追尾。 It's commonly difficult for autonomous vehicles(AVs) to detect human driver distraction behaviors, which would lead to probable late preparation for AVs to take brakes in time to avoid rear-end collisions.
39308 因此，本文致力于构建无人车控制与人类司机分心监测之间的桥梁，来辅助无人车预测潜在风险并像有经验的人类司机一样避让处于分心的司机，提高无人车的智能化水平和交通系统的安全性。 Hence, in this paper, we aimed to build a connection between AV control and human driver distraction detection, to aid AVs to predict potential risk and avoid distracted drivers like experienced human drivers.
39309 首先，本文提出了一种整合了司机分心监测、车对车信息交换和无人车速度控制的可行系统框架。 First, a practical system framework integrating driver distraction detection, vehicle-to-vehicle communication and AV velocity control was proposed.
39310 然后，基于卷积神经网络，本文提供了一种司机分心监测实现。 Then, an implementation of driver distraction detection based on convolutional neural networks was put forward.
39311 最后，基于模型预测控制策略，本文提出了一种考虑了司机分心行为的无人车纵向速度控制方法，并给出持续可行性分析。 Finally, a longitudinal velocity control method considering driver distraction behavior based on model predictive control was posed with persistent feasibility analysis.
39312 仿真结果验证了本文工作的有效性。 Simulation results validated the effectiveness of the work in this paper.
39313 相干声与环境声的提取有助于实现灵活的空间声重放。 The primary-ambient extraction is helpful to realize flexible spatial sound playback.
39314 不同方法的提取效果需要通过主观测听评估，但是主观测听耗时长、效率低，不利于实时调整算法。 The effects of different extraction methods need to be verified by subjective evaluation, which is time-consuming, inefficient and not conducive to adjust while operating.
39315 客观评价与主观测听相关联，通过客观指标反映主观评价，有利于优化算法、提高效率并保证算法评估的可靠性。 If objective comparison is correlated with subjective evaluation, using objective comparison rather than subjective evaluation can improve the efficiency of algorithms and ensure the reliability of the algorithm evaluation.