面向多星观测调度的分层迭代算法

提出一种基于分治策略的多星观测分层调度框架,在该框架下,用蚁群优化算法把任务分配至各轨道圈次上,并利用自适应模拟退火算法求解各轨道圈次的调度问题。根据各轨道圈次调度结果的反馈情况,再调整任务分配方案,重复上述过程直到达到算法终止条件。为了提高算法的性能,在设计蚁群算法的启发式信息模型时,应充分考虑卫星调度问题的领域知识;在模拟退火算法中设计两个邻域结构,采用动态选择策略在优化过程中确定最佳邻域搜索结构。仿真实验表明,该方法有效地降低了问题求解的复杂度,尤其在求解大规模多星观测调度问题时表现出优异的性能。     

星箭分离相对位姿摄影测量方法

提出一种基于视觉的星箭分离相对位姿测量方法。在相机内参数已知的情况下,将相机安装于运载火箭,并在卫星上固连不少于6个合作标志,利用相机对合作标志实时成像;基于单目位姿估计的基本原理,采用高效n点渗透与正交迭代结合的方式解算卫星与火箭之间的相对位姿关系。仿真实验结果、半实物仿真实验结果证明了所提测量方法的可行性和准确性。     

军民融合产业内涵及范畴

发展军民融合产业是各级政府落实军民融合发展国家战略的重要抓手之一。针对军民融合产业界定不清等问题,从理论研究和实践工作层面梳理既有观点及演变趋势,形成对军民融合产业的客观认识。在此基础上,剖析军民融合产业的属性特征,从指导实践工作角度出发提出三种界定军民融合产业范畴及相关统计工作的合理化思路,并提出建立两级联动工作机制、开展国家工业基础中国防科研生产能力普查工作、试点开展军民融合产业分类标准及指标体系建设工作、加强军民融合产业统计数据质量监测等政策建议。     

国防科技助力“一带一路”建设

国防科技能够为"一带一路"沿线国家的经济、政治、安全、科技、文明等方面的发展进步做出重要贡献,我国可以将核能、航空、航天、船舶等国防科技领域作为重点先导领域推进实施。要着眼面临的机遇与挑战,着重从促进战略对接、打造品牌优势、推进军民融合、加强人才培养和关注人文交流等方面搞好战略应对。     

The Illusion of Afghanistan’s Electoral Representative Democracy: The Cases of Afghan Presidential and National Legislative Elections

This article is the latest in a series of published articles systematically examining Afghan Presidential and legislative elections. Structural problems including fraud, ethno-linguistic block voting, and the Single Non-Transferable Vote have had significant impacts on the development of Afghan democratic elections. The challenge now facing the current Afghan government and future elections is the daunting task of uniting the Afghan people while not repeating the electoral mistakes of the past. The tricky balancing act of fostering an overarching national identity without being perceived as privileging particular identities requires strong leadership and a willingness to challenge traditional ethnic, linguistic, and religious norms when need be. Karzai and Ghani Administrations have seriously failed relative to this dynamic.     

The Organization of the Defense Support System: An Economic Geography Perspective

In the context of restricted budgetary resources and the growing cost of maintenance, repair, and overhaul (MRO) activities, a major issue for modern armed forces is to sustain defense platforms. A possible method consists of realizing economies of scale through the concentration of maintenance activities, which involves the spatial reorganization of existing industrial sites dedicated to MRO. This article provides a formalized framework to discuss the optimal organization for the MRO of defense platforms in space. The public planner organizes the maintenance of defense platforms with only two possible spatial configurations. In the dispersed configuration, two industrial production units in charge of the maintenance optimally cover space, whereas in the concentrated configuration, a unique industrial unit covers space. Focusing on the tipping point between the two configurations, the balance of forces between agglomeration and dispersion in defense support activities is described and discussed. On the one hand, economies of scale provide an opportunity to optimize defense support costs, favoring concentration in a unique industrial unit. On the other hand, space causes dispersion to reduce both transport costs and operational social costs. This trade-off illustrates a general principle in spatial economics with an application to MRO production in the French case.     

Humanitarians at sea: Selective emulation across migrant rescue NGOs in the Mediterranean sea

Between 2014 and 2017, no less than 10 different non-governmental organizations (NGOs) conducted maritime Search and Rescue (SAR) operations off the coast of Libya. By rescuing over 100,000 migrants in three years, these NGOs became the largest provider of SAR in the Mediterranean. The theory of institutionalism suggests that organizations conducting similar activities are likely to converge in a process of mimetic isomorphism, deliberately imitating one another to increase their effectiveness and cope with uncertainty. These 10 SAR NGOs, however, developed two different rescue models: While some rescued migrants and disembarked them in Italian ports, others only simply assisted those in distress until the arrival of another ship transporting them to land. They also cooperated with Italian and European authorities to different degrees. Why did SAR NGOs imitated many elements of existing non-governmental rescue models, but discarded some others? This article argues that differences in material capabilities and organizational role conceptions are crucial to explain why newer SAR NGOs have imitated most but not all of their predecessors’ policies, engaging in a process of “selective emulation.”     

Geopolitical Risks and Movements in Islamic Bond and Equity Markets: A Note

This study applies a non-parametric causality-in-quantiles test to examine the causal effect of geopolitical risks on return and volatility dynamics of Islamic equity and bond markets. Geopolitical risks are generally found to impact Islamic equity market volatility measures, rather than returns. However, geopolitical risks tend to predict both returns and volatility measures of Islamic bonds. Interestingly, causality, when it exists for returns and/or volatility of Islamic equities and bonds, is found to hold over entire conditional distributions of returns and volatilities, barring the extreme ends of the same.     

新体制导航信号下I/Q幅相不一致对接收机测距零值的影响分析

随着现代化导航信号带宽的增大,由于可以大幅降低采样率,复信号采样的优势日趋明显。由于存在I/Q幅相误差,复信号采样对导航接收机伪距测量造成了一定影响。改进了信道非理想与I/Q幅相误差共同影响BPSK/QPSK信号零值测量的分析模型;在该模型基础上,推导得到了任意I/Q误差和信道非理想特性影响BOC信号伪距零值的模型;探讨了二者在频域抗干扰应用场景下引起的零值变化;理论分析与软件接收机仿真结果高度吻合,误差在1.5×10^-4码片内,证明了分析模型的精确性。该分析方法可用于对高性能导航接收机信道特性进行事先约束及筛选,以确保干扰场景下的零值变化满足要求。     

基于卷积神经网络的卫星网络协调态势评估方法

为充分发掘利用海量卫星网络数据,提高决策效率,加强空间频轨资源获取与储备的分析手段,尤其是对地球静止轨道资源的协调获取问题,提出基于机器学习算法的卫星网络态势评估策略。通过对卫星网络协调因素进行特征分析,选择卷积神经网络(Convolution Neural Network, CNN)为目标算法模型,并建立算法模型的训练数据集及Label规则,采用分裂信息增益度量方法对数据进行降维处理,建立CNN评估模型,并进行了验证分析。结果表明,CNN模型对卫星网络协调态势评估问题测试的正确率高达80%以上,具有较高的评估效能。随着数据量的增多,CNN评估效果逐步提升,是一种在卫星网络协调态势分析、资源储备的有效评估方法。