基于多级计分题目的分步功能差异检验

对分步功能差异如何在项目功能差异的检测和解释中发挥作用进行阐述:(i)从国外分步功能差异的模型、方法原理、分类模式、应用和结果解释等方面对这一方法的进展和应用情况进行概括和综述,旨在对国内测验公平性的研究提供借鉴;(ii)通过实际测验的数据,采用DSF分析的方法对测验中题目及不同等级分数的DIF进行了检验,进而对产生DIF的原因进行更深入的分析,以对测验内容的审核和题目的修订提供更具体和具操作性的依据.     

冬季DSF不同运行模式节能研究

介绍了冬季双层皮幕墙( Double skin facades,DSF)的两种运行模式,用能量平衡法模拟了这两种模式幕墙的热性能,然后介绍了通过DSF的得热量的计算方法,并用冷辐射系数法将得热量转化为室内负荷,以长沙地区某DSF为算例对其在冬季工况下的累计负荷进行了模拟,提出了一种优化的DSF冬季运行模式,计算结果表明该模式比封闭的DSF节能10%。     

A new satellite to satellite tracking algorithm from Doppler-shifted frequency measurements

A new satellite to satellite tracking (SST) algorithm from Doppler-shifted frequency measurements is proposed. The estimation principle is demonstrated and the mathematic model of SST is established. The state estimation methods for a user (the cooperative case) and target satellites (the non-cooperative case) are presented based on particle swarm optimization (PSO). The Cramer-Rao lower bounds (CRLB) are deduced as well. Performance of the new algorithm is validated through computer simulations, which proved that the proposed method is effective in terms of the estimation quality compared with CRLB and superior in accuracy to the Bearings-Only (BO) method in almost all simulation cases except for the case that an enough long tracking arc-length is obtained for a user satellite.     

CO2深部盐水层地质封存成本研究

 为进一步完善CCS经济可行性研究以及封存场地优选,从全生命周期的角度建立了深部盐水层（DSF）封存成本的工程经济模型。该模型在前人研究成果基础上,将注入前场地检查成本、注入后监测及设备处置成本纳入考虑范围。以典型DSF封存场地为例,计算得出CO₂均化封存成本为4.89 $/t,其中注入成本占80.43%,监测成本、场地勘察及检查成本分别占10.46%和9.12%。在此基础上,探讨了年注入量、储层渗透率、储层压力、储层孔隙度、储层厚度及储层深度6个因素变动对均化封存成本的影响,总结了其变化规律,并从注入井数量和封存场地面积两个方面进行了解释。通过敏感性分析得出,储层深度和储层压力对均化封存成本的影响最大,储层厚度和储层孔隙度次之。     

双层皮幕墙内置遮阳百叶倾角评价方法

为了更加科学合理地动态调整双层皮幕墙(DSF)内置遮阳百叶的角度,满足自然采光和节能的双重需求,建立了受遮阳百叶倾角影响的室内综合得热量与平均采光系数的数学模型,通过对模拟结果的标准化处理和线性加权求和方法,建立了DSF内置遮阳百叶倾角评价模型.以长沙地区某建筑南向DSF为例,详细介绍了自然通风工况下,8:00至18:00时间段内,晴天及阴天典型日该双层皮幕墙百叶倾角评价模型的构建过程.通过模拟分析发现,长沙夏季晴天DSF遮阳百叶最佳倾角为82°,最佳倾角范围为73°~90°;长沙夏季阴天DSF系统遮阳百叶最佳倾角为0°,最佳倾角范围为0°~36°.     

A new satellite to satellite tracking algorithm from Doppler-shifted frequency measurements

A new satellite to satellite tracking (SST) algorithm from Doppler-shifted frequency measurements is proposed. The estimation principle is demonstrated and the mathematic model of SST is established. The state estimation methods for a user (the cooperative case) and target satellites (the non-cooperative case) are presented based on particle swarm optimization (PSO). The Cramer-Rao lower bounds (CRLB) are deduced as well. Performance of the new algorithm is validated through computer simulations, which proved that the proposed method is effective in terms of the estimation quality compared with CRLB and superior in accuracy to the Bearings-Only (BO) method in almost all simulation cases except for the case that an enough long tracking arc-length is obtained for a user satellite.