一个面向服务的DCPS信息库的设计与实现

DDS是对象管理组织（OMG）针对实时数据分发系统制定的一个规范。DCPS信息库节点是DDS系统的核心服务节点，保存了系统内所有节点的状态信息。从面向服务的角度，提出了一个DCPS信息库的设计方案，定义了一个全局数据空间，并通过对全局数据空间的维护实现了分布式系统空间解耦合、动态扩展的特性。基于DCPS信息库搭建了一个发布订阅系统，分析了系统运行的实时性。结果表明，设计方案可以保证节点间高效、快速的进行数据分发。     

Variation of rain drop size distribution with rain rate at a few coastal and high altitude stations in southern peninsular India

Rain drop size distribution (DSD) was measured at four places in Southern India {Thiruvananthapuram, Kochi, Munnar and Sriharikota (SHAR)} using a Joss–Waldvogel (JW) impact type disdrometer. The data for each minute were corrected for dead time errors and rain rate was computed from the corrected data. The data for a whole month were then sorted according to rain rate (R) into several classes ranging from 0.1 to >100 mm/h. The average DSD in each class was computed, and the lognormal distribution function was fitted to the average. In all the cases, the function fitted the data very well. The fit parameters were found to have dependence on rain rate. The total number of drops (N_T), the geometric mean diameter (D_g) and the standard geometric deviation (σ) were also computed from the fit parameters. The standard geometric deviation (σ) was found to be more or less constant with rain rate at all the sites and in all months. The other two parameters (N_T and D_g) were found to vary exponentially with rain rate except in Munnar, a high altitude station. At Thiruvananthapuram, in most of the months, N_T increased exponentially with rain rate up to some value of R, which was different in different months, and then remained more or less constant or decrease slightly. In all cases, the variation of N_T and D_g was such that N_TD_g³ increased linearly with rain rate.     

拓扑优化在机载计算机结构设计中的应用

为了解决机载计算机零件结构设计过程中出现的材料分布不合理及重量要求苛刻等问题，在设计过程中引入拓扑优化。介绍了基于变密度法的拓扑优化理论，以Hyperworks／Optistruct为拓扑优化分析平台，对某机载计算机零件进行了拓扑优化，确定了零件的最佳材料分布。结果表明：通过优化设计可以在保持零件基本结构性能的基础上减轻其重量。     

An adaptive sequential experiment design method for model validation

Efficient experiment design is of great significance for the validation of simulation model with high nonlinearity and large input space. Excessive validation experiment raises the cost while insufficient test increases the risks of accepting an invalid model. In this paper, an adaptive sequential experiment design method combining global exploration criterion and local exploitation criterion is proposed. The exploration criterion utilizes discrepancy metric to improve the space-filling property of the design points while the exploitation criterion employs the leave one out error to discover informative points. To avoid the clustering of samples in the local region, an adaptive weight updating approach is provided to maintain the balance between exploration and exploitation. Besides, the credibility distribution function characterizing the relationship between the input and result credibility is introduced to support the model validation experiment design. Finally, six benchmark problems and an engineering case are applied to examine the performance of the proposed method. The experiments indicate that the proposed method achieves satisfactory performance for function approximation in accuracy and convergence.     

基于可靠性分析的立方星网络维护架构优化

立方星编队或星座构成分布式空间传感器网络，可提高立方星执行复杂空间任务的能力。然而立方星易发生故障，其故障时间不确定性也导致了传感器网络性能的不稳定，这凸显了对立方星网络进行在轨维护的重要性。考虑立方星传感器网络的功能维持问题，描述了一种网络维护架构，通过定期发射、在轨备份立方星以及时更换故障立方星，从而提高网络对单星随机失效事件的快速响应与恢复能力。建立了该架构的运行成本模型，包括固定成本、储存成本和短缺成本。收集整理了真实的立方星寿命数据，并使用最大化拟合优度参数估计方法得到最优立方星寿命的随机模型。采用基于蒙特卡罗仿真的遗传算法优化备用立方星的补给时刻和补给数量，在备份成本与系统性能下降所带来的损失之间进行权衡，使得系统的综合收益最优。     

An optimal selection of probability distribution functions for unsupervised land cover classification of PALSAR-2 data

Different types of classification techniques are available in the literature for the classification of Synthetic Aperture Radar (SAR) data into various land cover classes. Various SAR images are available for land cover classification such as ALOS PALSAR (PALSAR-1, PALSAR-2), RADARSAT and ENVISAT. In this paper, we have attempted to explore probability distribution function (pdf) based land cover classification using PALSAR-2 data. Over 20 different statistical distribution functions are analyzed for different classes based on statistical parameters. Probability distribution functions are selected based on Chi-squared goodness of fit test for each individual class. A decision tree based classifier is developed for classification based on the selected pdf functions and its statistical parameters. The proposed classification approach has an accuracy of 83.93%.     

基于多步裁定法评估编队超视距空战效能

提出了评估编队歼击机超视距空战效能的多步裁定法。用损失交换比和剩余飞机数量作为效能指标,将最优火力分配与空空反导弹引入到多步裁定模型中。考虑了电子对抗与飞机生存力,计算了歼击机领先发射概率、空空导弹击毁概率和发射次数。算例表明,领先发射一方超视距空战效能通常较高,滞后发射一方若采用最优火力分配、空空反导弹、电子对抗及提高飞机生存力等措施也可提高超视距空战效能。此模型计算简便,合理有效。     

指数分布的预测问题

对指数分布的单样、双样预测问题，进行了详细的讨论，这对寿命服从指数分布的产品的寿命试验有指导意义．     

Study on dependence of hydrodynamic characteristics on gravity in a vertical upward channel bubbly flow

Since the bubbly flow has extensive applications in the space field, it is very necessary to comprehend the dependence of hydrodynamic characteristics on gravity. In this paper, the dependence of the microbubble distribution and the liquid turbulence modulation by the microbubbles on gravity was investigated in detail with the Euler–Lagrange method. The liquid Navier–Stokes equation was solved using direct numerical simulations (DNS), and the microbubble motion was tracked with Newtonian motion equation considering drag force, shear lift force, added mass force, pressure gradient force, and wall lift force. The coupling between the gas and the liquid phases regarded the interphase force as a momentum source term in the momentum equation of the liquid. The results showed that the phase profile and the turbulence modulation by the microbubbles strongly depend on the magnitude of gravity. When the influence of gravity is relatively weak, the microbubbles approximately uniformly disperse in the wide central region of the channel, and the average statistics of the liquid turbulence are almost not influenced due to the addition of the microbubbles. However, when the influence of gravity is comparatively important, the majority of the microbubbles accumulate near the wall of the channel, and the injection of the microbubbles modifies the profiles of the liquid average statistics.     

基于Poisson圆盘分布的河流仿真技术

针对目前河流仿真所存在的计算效率低,渲染效果不够真实的问题, 介绍了一种基于物理规律的河流实时仿真的方法.提出了一种Poisson圆盘分布的算法,可实现屏幕空间的优秀的分布样式,该算法产生的分布粒子用于表达河流的速度场,进而重构河流表面; 采用一种纹理精灵的技术,通过纹理的动态访问和纹理混合,有效地实现河流表面的渲染.仿真实验证明:该方法可以产生渲染效果非常逼真的河流视景,并能够满足实时仿真的要求.