In this paper, the synoptic process of convective heavy rain in Pingxiang and heavy rain in some areas from July 9 to 10, 2020 is analyzed by using high-altitude weather maps, automatic regional station data, sounding...In this paper, the synoptic process of convective heavy rain in Pingxiang and heavy rain in some areas from July 9 to 10, 2020 is analyzed by using high-altitude weather maps, automatic regional station data, sounding data maps and satellite cloud pictures. The results show that (1) The high pressure in the upper atmosphere is maintained, the circulation situation of "two troughs and one ridge" in the middle and high latitudes is stable, the large trough in East Asia is stable and less moving, and the low trough in Lake Baikal is deepening southward to guide cold air southward;The subtropical high at low latitudes strengthened westward and remained stable with little movement. The warm and humid air flow at the northwest side provided continuous water vapor transportation for Pingxiang. The strong convergence of the southward dry and cold air and the southward warm and humid air, combined with the favorable conditions of convergence in the lower level and divergence in the upper level, constituted the basic circulation situation of the rainstorm. (2) The warm and humid air flow in the middle and low levels transports a large amount of unstable energy and abundant water vapor, and the convergence line on the ground triggers the release of unstable energy, which, in combination with the uplift of the shear system in the lower level, results in obvious convective precipitation in Pingxiang. (3) Convective monomer is continuously generated and developed near the shear line, and moves and merges along the system direction. The region matching degree between the highlight area and the short-term strong precipitation on the cloud image is very high. The highlight area and the system development direction have good reference function for the short-term and imminent forecast of the precipitation process that is occurring.展开更多
The research of high-brightness organic light-emitting diodes, as an important branch of organic light-emitting diodes （OLEDs）, makes it possible for achieving high-brightness lighting source and lasing. Heat dissip...The research of high-brightness organic light-emitting diodes, as an important branch of organic light-emitting diodes （OLEDs）, makes it possible for achieving high-brightness lighting source and lasing. Heat dissipation and efficiency roll off, as two main factors, affect the brightness of the OLEDs heavily. In this paper, high-brightness OLEDs are obtained by utilizing pulse voltage, small areas and micro-cavity structure to minimize the effect of the two factors. The major advances, ongoing challenges and future perspectives of this research frontier are also critically discussed.展开更多
针对目前去雾方法对于明亮区域的处理效果及抗噪性能较差的问题,提出基于透射率多重引导与锐化补偿的图像去雾算法(Image Defogging Algorithm Based on Transmittance Multiple Guidance and Sharpening Compensation,DTGSC)。该算法...针对目前去雾方法对于明亮区域的处理效果及抗噪性能较差的问题,提出基于透射率多重引导与锐化补偿的图像去雾算法(Image Defogging Algorithm Based on Transmittance Multiple Guidance and Sharpening Compensation,DTGSC)。该算法首先运用阈值分割的方法求解大气光值,通过对原图中白色区域进行定义分割,提升了大气光值的取值精度;其次为保证所提模型能够有效处理图像中的不同区域,设计了多重引导的方法进行透射率取值,将明亮区域的失真问题转换为缩减透射率取值误差问题。此外,将高斯滤波引入到图像三通道中进行降噪处理,在实现去雾的同时并提升模型的抗噪性能;最后使用图像锐化的方法对去雾结果进行增强,并通过设定目标调整亮度,完成当前亮度向目标亮度的深度补偿,实现去雾后图像边缘细节与可视化效果的联合优化。实验结果表明,所提算法在四种数据集下得到的图像MSE平均值为11.07,PSNR平均值为39.78 dB,SSIM平均值为87.83%,在薄雾数据集上的平均去雾时间达到0.63 s。相对于DCMPNet算法而言,MSE值平均缩减20.54 dB,PSNR值平均提升5.57 dB,SSIM值平均提升2.52%,去雾效率平均提升0.08s。以上实验结果验证了所提算法的有效性与优越性。展开更多
文摘In this paper, the synoptic process of convective heavy rain in Pingxiang and heavy rain in some areas from July 9 to 10, 2020 is analyzed by using high-altitude weather maps, automatic regional station data, sounding data maps and satellite cloud pictures. The results show that (1) The high pressure in the upper atmosphere is maintained, the circulation situation of "two troughs and one ridge" in the middle and high latitudes is stable, the large trough in East Asia is stable and less moving, and the low trough in Lake Baikal is deepening southward to guide cold air southward;The subtropical high at low latitudes strengthened westward and remained stable with little movement. The warm and humid air flow at the northwest side provided continuous water vapor transportation for Pingxiang. The strong convergence of the southward dry and cold air and the southward warm and humid air, combined with the favorable conditions of convergence in the lower level and divergence in the upper level, constituted the basic circulation situation of the rainstorm. (2) The warm and humid air flow in the middle and low levels transports a large amount of unstable energy and abundant water vapor, and the convergence line on the ground triggers the release of unstable energy, which, in combination with the uplift of the shear system in the lower level, results in obvious convective precipitation in Pingxiang. (3) Convective monomer is continuously generated and developed near the shear line, and moves and merges along the system direction. The region matching degree between the highlight area and the short-term strong precipitation on the cloud image is very high. The highlight area and the system development direction have good reference function for the short-term and imminent forecast of the precipitation process that is occurring.
基金supported by the Development Foundation for Electronic and Information Industry(2010),the Science and Technology Commission of Shanghai Municipality(Grant No.10DZ1140502)the Mechatronics Engineering Innovation Group Project from the Education Commission of Shanghai Municipality
文摘The research of high-brightness organic light-emitting diodes, as an important branch of organic light-emitting diodes （OLEDs）, makes it possible for achieving high-brightness lighting source and lasing. Heat dissipation and efficiency roll off, as two main factors, affect the brightness of the OLEDs heavily. In this paper, high-brightness OLEDs are obtained by utilizing pulse voltage, small areas and micro-cavity structure to minimize the effect of the two factors. The major advances, ongoing challenges and future perspectives of this research frontier are also critically discussed.
文摘针对目前去雾方法对于明亮区域的处理效果及抗噪性能较差的问题,提出基于透射率多重引导与锐化补偿的图像去雾算法(Image Defogging Algorithm Based on Transmittance Multiple Guidance and Sharpening Compensation,DTGSC)。该算法首先运用阈值分割的方法求解大气光值,通过对原图中白色区域进行定义分割,提升了大气光值的取值精度;其次为保证所提模型能够有效处理图像中的不同区域,设计了多重引导的方法进行透射率取值,将明亮区域的失真问题转换为缩减透射率取值误差问题。此外,将高斯滤波引入到图像三通道中进行降噪处理,在实现去雾的同时并提升模型的抗噪性能;最后使用图像锐化的方法对去雾结果进行增强,并通过设定目标调整亮度,完成当前亮度向目标亮度的深度补偿,实现去雾后图像边缘细节与可视化效果的联合优化。实验结果表明,所提算法在四种数据集下得到的图像MSE平均值为11.07,PSNR平均值为39.78 dB,SSIM平均值为87.83%,在薄雾数据集上的平均去雾时间达到0.63 s。相对于DCMPNet算法而言,MSE值平均缩减20.54 dB,PSNR值平均提升5.57 dB,SSIM值平均提升2.52%,去雾效率平均提升0.08s。以上实验结果验证了所提算法的有效性与优越性。
基金Supported by National Natural Science Foundation of China(41501361,41401385,30871965)Open Fund of Fujian Provincial Key Laboratory of Resources and Environment Monitoring&Sustainable Management and Utilization(ZD1403)+1 种基金Fujian Natural Science Foundation(2016J01188)Scientific Research Foundation of Fuzhou University(XRC1345)
