| ID | 原文 | 译文 |
| 41416 | 该传感器使用陶瓷基片作为内层结构，以304不锈钢管作为保护外层，采用飞秒激光刻写的纯石英光纤光栅作为测温敏感元件。 | It uses a ceramic substrate as the inner structure, a 304 stainless steel tube as the outer protection, and a pure silica fiber grating written by a femtosecond laser as the temperature sensing element. |
| 41417 | 搭建了恒温油浴光纤传感测试系统，采用循环升降温的方法对其进行了温度特性研究， | An optical fiber sensing test system of constant temperature oil bath was built, and the temperature characteristics of the sensor were studied by the method of cycling temperature rise and fall. |
| 41418 | 结果表明该传感器测温性能良好，升降温实验的线性相关系数均为0.999 9， | Test results show that the sensor presents good temperature measurement performance, and the linear correlation coefficient of the temperature rise and fall experiment is 0.999 9. |
| 41419 | 在长期的循环实验中波长重复性为±2pm，迟滞误差小于5pm， | In the long-term cycle experiment, the wavelength repeatability reaches±2 pm, and the hysteresis error is less than 5 pm. |
| 41420 | 有较高的可靠性，可用于电机内部的温度监测。 | It has high reliability and can be used for temperature monitoring inside the motor. |
| 41421 | 单幅图像去雾技术虽然已经取得较大的进展，但是算法较为复杂，运行时间较长。 | Single image dehazing technology has made great progress, but the algorithm is complicated and the running time is long. |
| 41422 | 为了实现视频实时去雾，以硬件实现为目的，对暗通道先验算法进行改进，降低其时间复杂度。 | For the purpose of hardware implementation, the dark channel priori algorithm is improved to reduce its time complexity and realize real-time dehazing. |
| 41423 | 提出了一种暗通道图优化方法，保留了图像的边缘信息，消除了光晕效应，省去了透射率细化的复杂操作; | A dark channel map optimization method is proposed, which retains the edge information of the image, and eliminates the halo effect and the complicated operation of transmittance refinement. |
| 41424 | 提出了适应于硬件实现的大气光值估计和调节及透射率补偿方法，解决了视频帧间闪烁及天空等明亮区域的色彩失真问题。 | The method for estimating and adjusting atmospheric light, and a transmittance compensation method suitable for hardware implementation are proposed, which solves the problem of flicker between video frames and color distortion in bright areas such as the sky. |
| 41425 | 基于现场可编程门阵列(FPGA)对所提出算法进行了硬件实现。结果表明，该算法可以实时处理帧速为60f/s、分辨率为1 920×1 080的视频图像，相比传统去雾算法速度更快，去雾质量更高。 | The hardware implementation of the proposed algorithm is based on FPGA, and the results show that it can process video images with the resolution of 1 920×1 080 at the frame rate of 60 f/s in real time, which is much better than that of the traditional dehazing algorithm. |