反重力充型的动力学特性

根据动量原理，提出了反重力充型的数学模型；用高速摄影观察了充型的动态过程，结果表明，反重力充型可用二阶非线性方程描述，具有衰减振荡的动力学特性。     

卫星介质深层充电中的主要物理问题

卫星介质深层充电效应是诱发地球同步轨道卫星运行故障和异常的重要因素之一，通过计算机模拟对介质深层充电的时间常数、电场特征、以及屏蔽、介质厚度和接地方式对充电所致最大电场的影响等主要物理问题进行了详细的分析，并给出了初步的防护措施．     

中继卫星系统地面云存储架构设计

针对中继卫星系统日益增长的海量数据存储需求,探索将云技术应用于中继卫星地面存储系统中,研究并设计了适用于中继卫星系统的分布式云存储的体系架构.该架构通过分布式存储和存储虚拟化技术,对存储资源进行了整合,将分布在不同地理位置上的存储网络,集合成一个大规模广域云存储系统,可提供整体存储和访问的功能,并实现对数据的高效“存”、“取”、“管”.与传统NAS(Network Attached Storage,网络附加存储)架构分析比较,该架构从系统扩展性、可靠性和服务性等多个方面均更加具有优势,能够适应日益增长的中继卫星系统海量数据存储需求,解决中继卫星系统中大容量数据存储的瓶颈.     

大型民机进近着陆段异常能量风险判据研究

根据大型民机事故统计，进近着陆阶段事故率最高，而其中大部分事故首先表现出异常能量状态，并演变成失控、重着陆、擦尾、冲出跑道等事故类型，或者呈现复飞失败。在归纳上述五类终端事故类型作为重点关注对象基础上，建立典型大型民机飞行数值仿真平台，使用随机模拟和相关性分析方法研究能量状态参数偏离导致进近着陆风险的影响规律。在此基础上，根据仿真结果给出了由关键能量参数确定的能量状态安全边界，可建立不同风场条件及可能的复飞油门下由空速-下滑角参数构成的异常能量预警判据，对于异常能量导致的进近着陆风险预警具有准确性和非保守性。研究结果可为大型民机进近着陆过程的风险预警以及相关飞行控制功能设计提供方法基础。     

基于能量优化的无人机机动轨迹生成方法

基于能量优化的无人机机动能够使无人机在不失去决定性位置优势的情况下获取相对于对手的能量优势，足够的能量优势可转换为有效的位置优势，有利于无人机在空战中随时改出当前机动并投入下一机动动作，对于无人机获取空战胜利至关重要。开展了基于能量优化的无人机机动轨迹生成方法研究，通过在无人机机动飞行包线内设计合适的机动指令，使得无人机能量性能指标最优。以上升转弯机动为例进行了机动轨迹生成的详细设计，并与常规上升转弯机动轨迹生成结果进行对比，仿真结果显示所设计的机动动作完成时间缩短了28.6%~83.8%，总能量变化减少了64.7%~70.1%，实现了无人机机动飞行的能量优化。     

不定积分的分部积分法探究

分部积分法是求不定积分的重要方法之一，也是求不定积分中的一个难点。在教学中，采用简单可行的方法准确的确定哪个函数为 u ，哪个函数为 dv ，再用简便的运算方法和技巧，可以快速求出 v。     

某光电检测仪典型问题分析及解决

某光电检测仪器用于实时精确检测设备的动态安装方位准确度。就该仪器使用过程中出现的光能量分布不均、二次像点现象严重及测角零位漂移等几个典型问题进行分析,提出并采取了相应的解决措施,为以后解决类似的问题提供了技术途径。     

ELGR: An Energy-efficiency and Load-balanced Geographic Routing Algorithm for Lossy Mobile Ad Hoc Networks

Geographic routing is a highly active area of research in mobile ad hoc networks (MANETs) owing to its efficiency and scalability. However, the use of simple greedy forwarding decreases the packet reception rate (PRR) dramatically in unreliable wireless environments; this also depresses the network lifetime. Therefore, it is important to improve delivery performance and prolong MANET lifetime simultaneously. In this article, a novel geographic routing algorithm, named energy-efficiency and load-loalanced geographic routing (ELGR), is presented for lossy MANETs. ELGR combines energy efficiency and load balance to make routing decisions. First, a link estimation scheme for the PRR is presented that increases the network energy efficiency level. Second, a learning method is proposed to adaptively sense local network loads, allowing enhanced whole network load balance. The results of a simulation show that ELGR performs better than several other geographic routing algorithms; in particular it extends network lifetime by about 20%, with a higher delivery ratio.     

Role of scalar fields in cosmological models

Recent astronomical observations of supernovae and cosmic microwave background indicate that the universe is accelerating. Scalar–tensor theories of gravity give rise to suitable cosmological models where a late-time accelerated expansion is naturally realized. In an alternative proposal the cosmic acceleration is generated by means of a scalar field (quintessence), in a way similar to the early-time inflation. In this paper, we consider two classes of cosmological models with scalar fields. The first one corresponds to the Jordan–Brans–Dicke tensor–scalar theory with a cosmological scalar and the second one contains a conformally coupled scalar field with quartic potential. In both type of models the cosmological dynamics is described and the deceleration parameter is evaluated. The values of the parameters are specified for which a late-time accelerated expansion is realized.     

Operant responding following exposure to HZE particles and its relationship to particle energy and linear energy transfer

On exploratory class missions astronauts will be exposed to a variety of heavy particles (HZE particles) which differ in terms of particle energy and particle linear energy transfer. The present experiments were designed to evaluate how these physical characteristics of different particles affect cognitive performance, specifically operant responding. Following exposure to ²⁸Si, ⁴⁸Ti, ¹²C and ¹⁶O particles at the NASA Space Radiation Laboratory rats were tested for their ability to respond appropriately to changes in reinforcement schedules using an operant task. The results showed that the effectiveness of different particles in disrupting cognitive performance, defined as the lowest dose that produced a performance decrement, varied as a function of the energy of the specific particle: for comparisons between different energies of the same particle (e.g., ⁵⁶Fe) the effectiveness of the particle was directly proportional to particle linear energy transfer, whereas for comparisons between different particles (e.g., ⁵⁶Fe and ¹⁶O) effectiveness was inversely proportional to particle linear energy transfer. The results are discussed in terms of the mechanisms that influence the effectiveness of different particles and energies and in terms of their implications for analyzing the possible risks to astronauts of decrements in cognitive performance following exposure to HZE particles on long-duration exploratory class missions.