In ground-based observations of the Sun,solar images are often affected by appearance of thin clouds,which contaminate the images and affect the scientific results from data analysis.In this paper,the improved Pixel t...In ground-based observations of the Sun,solar images are often affected by appearance of thin clouds,which contaminate the images and affect the scientific results from data analysis.In this paper,the improved Pixel to Pixel Network(Pix2Pix)network is used to convert polluted images to clear images to remove the cloud shadow in the solar images.By adding attention module to the model,the hidden layer of Pix2Pix model can infer the attention map of the input feature vector according to the input feature vector.And then,the attention map is multiplied by the input feature map to give different weights to the hidden features in the feature map,adaptively refine the input feature map to make the model pay attention to important feature information and achieve better recovery effect.In order to further enhance the model’s ability to recover detailed features,perceptual loss is added to the loss function.The model was tested on the full disk H-alpha images datasets provided by Huairou Solar Observing Station,National Astronomical Observatories.The experimental results show that the model can effectively remove the influence of thin clouds on the picture and restore the details of solar activity.The peak signal-to-noise ratio(PSNR)reaches 27.3012 and the learned perceptual image patch similarity(LPIPS)reaches 0.330,which is superior to the existed dehaze algorithms.展开更多
基于可信计算技术中的可信根、信任链和可信存储的概念,设计并实现了一种基于TCM(trusted cryptographymodule)的全盘加密系统(full disk encryption system,FDES)。FDES系统具有加密和认证功能,利用device-mapper(DM)提供的从逻辑设备...基于可信计算技术中的可信根、信任链和可信存储的概念,设计并实现了一种基于TCM(trusted cryptographymodule)的全盘加密系统(full disk encryption system,FDES)。FDES系统具有加密和认证功能,利用device-mapper(DM)提供的从逻辑设备到物理设备的映射框架机制,嵌入在Linux内核中,利用TCM芯片提供的加密、认证和存储等功能,实现对全部硬盘的透明加解密功能,从而确保了安全机制的不可旁路性和可靠性。展开更多
基金Funding for this study was received fromthe open project of CASKey Laboratory of Solar Activity(Grant No:KLSA202114)the crossdiscipline research project of Minzu University of China(2020MDJC08).
文摘In ground-based observations of the Sun,solar images are often affected by appearance of thin clouds,which contaminate the images and affect the scientific results from data analysis.In this paper,the improved Pixel to Pixel Network(Pix2Pix)network is used to convert polluted images to clear images to remove the cloud shadow in the solar images.By adding attention module to the model,the hidden layer of Pix2Pix model can infer the attention map of the input feature vector according to the input feature vector.And then,the attention map is multiplied by the input feature map to give different weights to the hidden features in the feature map,adaptively refine the input feature map to make the model pay attention to important feature information and achieve better recovery effect.In order to further enhance the model’s ability to recover detailed features,perceptual loss is added to the loss function.The model was tested on the full disk H-alpha images datasets provided by Huairou Solar Observing Station,National Astronomical Observatories.The experimental results show that the model can effectively remove the influence of thin clouds on the picture and restore the details of solar activity.The peak signal-to-noise ratio(PSNR)reaches 27.3012 and the learned perceptual image patch similarity(LPIPS)reaches 0.330,which is superior to the existed dehaze algorithms.
文摘基于可信计算技术中的可信根、信任链和可信存储的概念,设计并实现了一种基于TCM(trusted cryptographymodule)的全盘加密系统(full disk encryption system,FDES)。FDES系统具有加密和认证功能,利用device-mapper(DM)提供的从逻辑设备到物理设备的映射框架机制,嵌入在Linux内核中,利用TCM芯片提供的加密、认证和存储等功能,实现对全部硬盘的透明加解密功能,从而确保了安全机制的不可旁路性和可靠性。
