美国数字电影倡导组织(DCI)制定的《数字电影系统规范》(DCSS-Digital Cinema System Specification)已成为全球数字电影行业发展的奠基石。从2003年至2009年DCSS从草案发展到V1.2正式版,并经过了三次修订。DCSS中安全部分定义的安全处...美国数字电影倡导组织(DCI)制定的《数字电影系统规范》(DCSS-Digital Cinema System Specification)已成为全球数字电影行业发展的奠基石。从2003年至2009年DCSS从草案发展到V1.2正式版,并经过了三次修订。DCSS中安全部分定义的安全处理模块类型1(SPB1)的安全处理功能应经过FIPS140-2Level3的认证,作为顺应DCSS的首要条件。由于美国国家标准技术研究院(NIST)正在将FIPS140-2向FIPS140-3转变,受其影响,DCI在2011年4月对DCSS正式版V1.2进行了第四次修订,对其安全部分的加密算法和数字证书的使用做了修订,变直接描述明确的加密算法或方法为引用FIPS140要求,以保持和FIPS标准的通用性和一致性。展开更多
In this paper,snow and ice thickness products derived from an updated Fast Ice Prediction System Version 2.0(FIPS V2.0)in Prydz Bay,East Antarctica,are introduced and compared with in-situ obser-vations.FIPS V2.0 is c...In this paper,snow and ice thickness products derived from an updated Fast Ice Prediction System Version 2.0(FIPS V2.0)in Prydz Bay,East Antarctica,are introduced and compared with in-situ obser-vations.FIPS V2.0 is comprised of a newly-developed snowdrift parameterization compared to the original FIPS V1.0.The simulation domain covers the entire fast ice region in Prydz Bay and is config-ured to 720 grid cells,with a spatial resolution of 0.125°.The ERAInterim reanalysis from the European Centre for Medium-Range Weather Forecasting(ECMWF)were used as the atmospheric forcing.The in-situ observations were obtained near Zhongshan Station by the wintering team,and the measurement frequency of the snow and ice thicknesses was around one week.Both the FIPS V2.0 pro-ducts and in-situ observations introduced in this paper cover the time periods from 2012 to 2016.The primary assessments based on the in-situ observations show that FIPS V2.0 has mean biases of 0.01±0.07 m and 0.23±0.09 m for snow and ice thickness simula-tions,respectively.The results indicate that the updated FIPS V2.0 produces a reasonable snow thickness due to the newly-developed snowdrift parameterization,but it overestimates the ice thickness due to the cold bias in the air temperature forcing.These 2-D snow and ice thickness distributions provide important references for sea ice thermodynamic studies,remote sensing validations,and ice-breaker navigation assessments in this region.The dataset is avail-able at http://www.doi.org/10.11922/sciencedb.j00076.00066.展开更多
目的构建基于特定Intel芯片组中random number generator(RNG)单元的真随机数生成器。方法在Intel 815E 芯片组的个人电脑上安装Intel Security Driver(ISD)后,使用Microsoft Visual C++ 6编程,通过寄存器读取的方式获取RNG中的随机数...目的构建基于特定Intel芯片组中random number generator(RNG)单元的真随机数生成器。方法在Intel 815E 芯片组的个人电脑上安装Intel Security Driver(ISD)后,使用Microsoft Visual C++ 6编程,通过寄存器读取的方式获取RNG中的随机数。结果生成的500个随机数通过的NIST FIPS 140-1和χ2拟合优度检验(α=0.05 ),表明本方法所生成的随机数满足独立性和分布均匀性的要求。生成7500个随机数经域值变换后与随机数表中的同等数目的随机数进行了统计学比较,结果显示前者的均值偏移、SD, SE和CV均小于后者。结论基于Intel RNG的真随机数生成器可以生成满足独立性和分布均匀性的真随机数,生成的随机数效果与随机数表中的随机数没有显著性区别。但是基于Intel RNG的真随机数生成器能解决使用随机数表获取随机数中可能存在的问题,具有较好的普遍性和实用性。展开更多
文摘美国数字电影倡导组织(DCI)制定的《数字电影系统规范》(DCSS-Digital Cinema System Specification)已成为全球数字电影行业发展的奠基石。从2003年至2009年DCSS从草案发展到V1.2正式版,并经过了三次修订。DCSS中安全部分定义的安全处理模块类型1(SPB1)的安全处理功能应经过FIPS140-2Level3的认证,作为顺应DCSS的首要条件。由于美国国家标准技术研究院(NIST)正在将FIPS140-2向FIPS140-3转变,受其影响,DCI在2011年4月对DCSS正式版V1.2进行了第四次修订,对其安全部分的加密算法和数字证书的使用做了修订,变直接描述明确的加密算法或方法为引用FIPS140要求,以保持和FIPS标准的通用性和一致性。
基金supported by the National Natural Science Foundation of China(41876212,41911530769).
文摘In this paper,snow and ice thickness products derived from an updated Fast Ice Prediction System Version 2.0(FIPS V2.0)in Prydz Bay,East Antarctica,are introduced and compared with in-situ obser-vations.FIPS V2.0 is comprised of a newly-developed snowdrift parameterization compared to the original FIPS V1.0.The simulation domain covers the entire fast ice region in Prydz Bay and is config-ured to 720 grid cells,with a spatial resolution of 0.125°.The ERAInterim reanalysis from the European Centre for Medium-Range Weather Forecasting(ECMWF)were used as the atmospheric forcing.The in-situ observations were obtained near Zhongshan Station by the wintering team,and the measurement frequency of the snow and ice thicknesses was around one week.Both the FIPS V2.0 pro-ducts and in-situ observations introduced in this paper cover the time periods from 2012 to 2016.The primary assessments based on the in-situ observations show that FIPS V2.0 has mean biases of 0.01±0.07 m and 0.23±0.09 m for snow and ice thickness simula-tions,respectively.The results indicate that the updated FIPS V2.0 produces a reasonable snow thickness due to the newly-developed snowdrift parameterization,but it overestimates the ice thickness due to the cold bias in the air temperature forcing.These 2-D snow and ice thickness distributions provide important references for sea ice thermodynamic studies,remote sensing validations,and ice-breaker navigation assessments in this region.The dataset is avail-able at http://www.doi.org/10.11922/sciencedb.j00076.00066.
