美国对其GPS采取的国策

从兼顾美国经济利益和国家安全目标、GPS及其增强系统的管理、国家安全及对外政策四个方面综合考察了美国对其GPS所采取的最新国策。     

复合材料层板低速冲击剩余强度的研究

 针对复合材料层板受低速冲击后的剩余压缩强度问题进行分析计算,把冲击破坏区看作一个含有随机分布裂纹的圆形不均匀体,采用有限元建模分析,结合冲击后层板的试验所得的载荷/ 位移关系,计算得到冲击破坏区的剩余模量。再采用有限元建模分析含圆形冲击损伤区的矩形复合材料层板,求解应力及最大位移,并依据最大应力破坏准则,预测复合材料层板的冲击后压缩强度,计算结果与试验数据的比较表明分析结果可靠。     

Relevant experience learning: A deep reinforcement learning method for UAV autonomous motion planning in complex unknown environments

Unmanned Aerial Vehicles (UAVs) play a vital role in military warfare. In a variety of battlefield mission scenarios, UAVs are required to safely fly to designated locations without human intervention. Therefore, finding a suitable method to solve the UAV Autonomous Motion Planning (AMP) problem can improve the success rate of UAV missions to a certain extent. In recent years, many studies have used Deep Reinforcement Learning (DRL) methods to address the AMP problem and have achieved good results. From the perspective of sampling, this paper designs a sampling method with double-screening, combines it with the Deep Deterministic Policy Gradient (DDPG) algorithm, and proposes the Relevant Experience Learning-DDPG (REL-DDPG) algorithm. The REL-DDPG algorithm uses a Prioritized Experience Replay (PER) mechanism to break the correlation of continuous experiences in the experience pool, finds the experiences most similar to the current state to learn according to the theory in human education, and expands the influence of the learning process on action selection at the current state. All experiments are applied in a complex unknown simulation environment constructed based on the parameters of a real UAV. The training experiments show that REL-DDPG improves the convergence speed and the convergence result compared to the state-of-the-art DDPG algorithm, while the testing experiments show the applicability of the algorithm and investigate the performance under different parameter conditions.     

高职形势与政策课程教学策略改革的路径

针对目前高职＂形势与政策＂课教学中存在的主要问题,提出了＂形势与政策＂课课堂教学策略、管理策略、学习策略、考核策略的思考。     

Extraterrestrial environmental impact assessments – A foreseeable prerequisite for wise decisions regarding outer space exploration,research and development

Although existing international instruments such as the Outer Space Treaty and Moon Agreement generally express sentiments for minimizing missions' extraterrestrial environmental impacts, they tend to be limited in scope, vague and generally unenforceable. There is no formal structure for assessing how and to what extent we affect those environments, no opportunity for public participation, no uniform protocol for documenting and registering the effects of our actions and no requirement to mitigate adverse impacts or take them into consideration in the decision-making process. Except for precautions limiting forward biological contamination and issues related to Earth satellites, environmental impact analysis, when done at all, remains focused on how missions affect the Earth and near-Earth environments, not how our actions affect the Moon, Mars, Europa, comets and other potential destinations. Extraterrestrial environmental impacts are potentially counterproductive to future space exploration, exploitation and scientific investigations. Clear, consistent and effective international protocols guiding a process for assessing such impacts are warranted. While instruments such as the US National Environmental Policy Act provide legally tested and efficient regulatory models that can guide impact assessment here on Earth, statutory legal frameworks may not work as well in the international environment of outer space. A proposal for industry-driven standards and an environmental code of conduct based, in part, on best management practices are offered for consideration.     

美国导航战新进展与启示

针对卫星导航系统的脆弱性,美国首先提出了导航战的概念。近几年来,美国密集制定了多项有关导航战的政策文件,不断丰富和发展导航战理论与技术,同时将导航战加入到作战演习和部分实战中。从梳理导航战技术现状入手,进而阐述了美国导航战条令与政策的最新进展,分析了近年来美国导航战演习与作战应用实践,最后总结并提出了美国导航战发展启示。     

针对超临界翼型气动修型策略的强化学习

强化学习是一类用于学习策略的机器学习方法,通过模拟人的学习过程,与所处环境不断交互来学习动作策略,用以获得最大累积回报。以设计师在翼型气动设计中的增量修型过程为例,给出强化学习在气动优化设计中的要素定义和具体算法的实现。研究了预训练中选择不同示例对预训练和强化学习结果的影响,并将强化学习得到的策略模型在其他环境中进行了迁移测试验证。结果表明,合理的预训练能够有效提高强化学习的效率和最终策略的鲁棒性,且所形成的策略模型具有较好的迁移能力。     

基于卫星图像数据的服务器负载策略

文章介绍了卫星数据图像的存储,论述几种集群服务器的负载策略,提出一种自适应的负载均衡策略,并对以往策略进行了对比。对分布式分包路由(DPR)技术作了深入的分析,作者在测试评估的过程中,给出一种新的集群服务器方案。     

History of UK contribution to astronautics: Politics and government

In all developed countries, once it emerged from the amateur era, Space (and especially rocketry) moved on the public agenda because of its potential significance for both the civil and military policies of governments (coupled with its appetite for new money). In the UK the policy treatment of Space broadly paralleled that in other countries until the post-Empire trauma, the burn-out of the White-Hot Technological revolution of Harold Wilson, and the financial crises of the 1970s exhausted the public appetite for large scale publicly funded projects in high technology. The culmination for Space of these pressures came in 1986–1987 when the UK rejected the emerging international consensus and, almost alone, stayed outside the manned space commitments which developed into the International Space Station. In this paper, Colin Hicks will review the UK political developments which led up to the 1986–1987 decision and how the politics and organisation of UK space activity have developed since then to the point where in 2008 a major government review of the UK involvement in manned space was commissioned.