| ID | 原文 | 译文 |
| 57578 | 利用时空相关参数获取对应阈值，对轨迹进行分段，进而实现行程识别. | Last，execute trajectory segmentation process with spatial-temporal threshold to get the precise travel recognition result. |
| 57579 | 基于真实的城市交通卡口数据的实验结果表明，使用时空相关的动态阈值方法对定点轨迹数据进行行程识别在准确率和覆盖率上都要优于传统基于固定和单一阈值的方法. | Experiment based on fixed-point trajectory data from real world city shows that using spatial-temporal dynamic threshold method to recognize travel in fixed point trajectory data is supe- rior to the traditional stable and single threshold method on accuracy and coverage. |
| 57580 | 针对离散尘土颗粒与温度、湿度、电场强度交互作用的复杂条件下，难以有效建立电路板电化学迁移的失效物理模型的问题，通过温湿偏置加速实验，模拟不同积尘密度下电路板的电化学迁移失效，分析颗粒分布密度对电路板绝缘失效时间的作用特性. | Facing the complex conditions that the discrete dust particles interact with the temperature， the humidity，and the electric field intensity，it is difficult to effectively establish the life model of elec- trochemical migration ( ECM) of printed circuit board ( PCB) based on failure physics. Through the tem- perature humidity bias tests，the ECM process under different dust density is simulated. |
| 57581 | 采用正交实验获取不同尘土颗粒密度、温度、湿度、电场条件下电路板绝缘失效的寿命数据.基于数据驱动的方法，探讨电路板在尘土颗粒污染下的电化学迁移失效寿命建模. | The effect of par- ticle distribution density on time to failure ( TTF) of PCB is analyzed. |
| 57582 | 对比了多项式回归、机器学习中的梯度提升回归树和随机森林 3 种方法在尘土分布密度的高低区间内的寿命预测效果. | The TTF data of PCB under differ- ent particle distribution density，temperature，relative humidity and electric field intensity are obtained by an orthogonal experiment. |
| 57583 | 讨论了尘土颗粒污染下利用机器学习建立电路板电化学迁移失效寿命模型的有效性. | Based on the data driven method，the ECM life modeling of PCB under dust particle pollution is discussed. The life prediction effects of polynomial regression，gradient boosting re- gression tree and random forest in machine learning for high and low dust distribution density are com- pared. The effectiveness of machine learning to establish ECM life model of PCB under dust particle con- tamination is discussed. |
| 57584 | 针对超可靠低时延通信的收发设备能量受限和超可靠性要求的特点，将多天线技术应用于无线能量捕获的短包传输系统，研究了多用户多天线无线能量传输( MIMO-WET) 系统中短包传输的块错误概率性能. | Aiming at the characteristics of ultra-reliable low-latency communication transceiver equipmentwith limited energy and ultra-reliability requirements，the multi-antenna technology is applied to theshort-packet transmission system of wireless energy harvesting and the packet error probability ( PEP)performance of multiuser multi-antenna-wireless energy transmission ( MIMO-WET) system with short?packet transmission is studied accordingly. |
| 57585 | 首先利用每个用户的信噪比累积分布函数和高斯函数近似的方法，推导出块错误概率的近似闭合表达式; | Firstly，an approximate closed-form expression of the packeterror probability is obtained by utilizing the cumulative distribution function of the signal-to-noise ratio foreach user and the Gaussian function approximation method. |
| 57586 | 然后对无线能量传输阶段中的时隙数和无线信息传输( WIT) 阶段中的功率分配系数因子进行联合优化，实现总块错误概率的最小化. | Then the number of channel uses in the wire?less energy transmission phase and the power allocation factors in the wireless information transmission( WIT) phase are jointly optimized for minimizing the sum-PEP of all users. |
| 57587 | 仿真结果验证了所推导的块错误概率闭合表达式的正确性，并根据仿真数据得到: | Simulations validate the cor?rectness of the closed expression of the packet error probability. |