高亚声速喷流近场的流-声关联

针对马赫数为0.9的圆口喷流,采用大涡模拟计算流场与声场,在与直接数值模拟(DNS)和实验数据比对验证的基础上,分析了中心线和剪切层湍流脉动信号与声信号的相关性,并进一步对中心线上温度信号进行相关性研究。结果表明:相关系数在中心线上势流核末端附近出现峰值,说明该处的湍流脉动信号对声压信号有重要贡献,而这一区域的流动的间歇性与对流速度均较高。同时,声压与中心线上的温度脉动和温度梯度径向分量的脉动也有较高相关性,但与温度梯度轴向分量的脉动相关性较低,表明在模拟的温度比下轴向温度梯度对近场声压贡献较小。     

Non-linear methods in remotely sensed multispectral data classification

The aim of this research is to develop an effective approach being able to deal with the stochastic nature of remote sensing data. In order to achieve this objective it is necessary to structure the methodological knowledge in the area of data mining and reveal the most suitable methods for the prediction and decision support based on large amounts of multispectral data. The idea is to establish a framework by decomposing the task into functionality objectives and to allow the end-user to experiment with a set of classification methods and select the best methods for specific applications. As a first step, we compare our results from Bayesian classification based on non-parametric probability density estimates of the data to the results obtained from other classification methods. Tree scenarios are considered, making use of a small benchmark dataset, a larger dataset from Corine land cover project for Bulgaria and analyzing different features and feature selection methods. We show that the theoretically optimal Bayesian classification can also achieve optimal classification in practice and provides a realistic interpretation of the world where land cover classes intergrade gradually.     

管制战术核心系统信息整合的实践与思考

日益增长的空中流量，对管制信息系统的信息整合提出了更高的要求。本文总结了成都管制中心的数据整合实践经验，提出整合管制信息系统的思路和建议，为未来的项目建设提供有意义的参考。     

高温热源羽流流场及伴生粉尘控制特性

采用CFD数值模拟软件对高温热源上部接受罩的羽流温度场和速度场进行分析,比较不同工况下上部伞形接受罩对高温烟气的控制特性,同时提出合理设置排风罩位置和风量的措施。     

民用飞机外翼与中央翼下壁板对接形式

飞机外翼与中央翼的对接结构承担着传递外翼载荷到中机身和中央翼的重任。本文首先梳理了先进民用客机的下壁板对接形式,然后给出了不同下壁板对接结构的设计要点,最后分析了典型机型下壁板对接结构的传力特性,指出下壁板结构的材料类型会影响对接结构的设计。     

Development and testing of a statistical texture model for land cover classification of the Black Sea region with MODIS imagery

A statistical model is proposed for analysis of the texture of land cover types for global and regional land cover classification by using texture features extracted by multiresolution image analysis techniques. It consists of four novel indices representing second-order texture, which are calculated after wavelet decomposition of an image and after texture extraction by a new approach that makes use of a four-pixel texture unit. The model was applied to four satellite images of the Black Sea region, obtained by Terra/MODIS and Aqua/MODIS at different spatial resolution. In single texture classification experiments, we used 15 subimages (50 × 50 pixels) of the selected classes of land covers that are present in the satellite images studied. These subimages were subjected to one-level and two-level decompositions by using orthonormal spline and Gabor-like spline wavelets. The texture indices were calculated and used as feature vectors in the supervised classification system with neural networks. The testing of the model was based on the use of two kinds of widely accepted statistical texture quantities: five texture features determined by the co-occurrence matrix (angular second moment, contrast, correlation, inverse difference moment, entropy), and four statistical texture features determined after the wavelet transformation (mean, standard deviation, energy, entropy). The supervised neural network classification was performed and the discrimination ability of the proposed texture indices was found comparable with that for the sets of five GLCM texture features and four wavelet-based texture features. The results obtained from the neural network classifier showed that the proposed texture model yielded an accuracy of 92.86% on average after orthonormal wavelet decomposition and 100% after Gabor-like wavelet decomposition for texture classification of the examined land cover types on satellite images.     

复合材料易碎盖薄弱区结构设计分析

 针对复合材料易碎盖关键部位薄弱区结构进行设计,并采用数值模拟方法对其力学性能进行了研究。首先对易碎盖整体进行数值模拟,为薄弱区结构局部模型分析提供了边界条件与载荷。其次通过局部数值模拟结果结合相应的强度准则,预测了相应的易碎盖冲破压力,并通过对易碎盖实验件进行冲破实验验证了设计方案与理论方法的准确性。最后讨论了薄弱区参数对易碎盖冲破压力的影响。     

一种解决经验模态分解端点效应的边界延拓法

用于电子设备或系统辐射发射趋势预测的数据大多呈现非线性、样本量小的特点,这大大增加了预测建模的难度,而经验模态分解(EMD)可以将非线性、非平稳的数据分解成若干个呈现一定周期性的本征模态函数(IMF),并且EMD具有完备性和正交性,可通过分别对分解得到的IMF分量建模,从而完成对原始数据的建模。但EMD被端点效应问题所困扰,为了提高EMD的分解精度,针对分解过程中的端点效应问题,以及辐射发射趋势预测的时间序列数据样本量小的特点,利用建立灰色均值GM(1,1)预测模型所需数据量小的优点,提出了一种基于灰色均值GM(1,1)预测模型的边界延拓方法,在原始数据两端各拓展一个极大值和一个极小值,对原始数据进行边界延拓,从而抑制EMD的端点效应。仿真对比结果表明:该方法在分解层数和平均相对误差方面均优于未经延拓处理的EMD,且对数据样本量要求不高。     

深度确定性策略梯度算法用于无人飞行器控制

对深度确定性策略梯度算法训练智能体学习小型无人飞行器的飞行控制策略进行了探索研究。以多数据帧的速度、位置和姿态角等信息作为智能体的观察状态,舵摆角和发动机推力指令作为智能体的输出动作,飞行器的非线性模型和飞行环境作为智能体的学习环境。智能体在与环境交互过程中除了获得包含误差信息的密集惩罚外,也有达成一定目标的稀疏奖励,该设计有效提高了飞行数据的样本多样性,增强了智能体的学习效率。最后智能体实现了从位置、速度和姿态角等信息到控制量的端到端飞行控制,并进行了变航迹点、模型参数拉偏、注入扰动和故障条件下的飞行控制仿真,结果表明智能体除了能有效完成训练任务外,还能应对多种训练时未学习的飞行任务,具有优秀的泛化能力和鲁棒性,该方法具有一定的研究价值和工程参考价值。     

AFDX端系统发送单元的研究与实现

AFDX网络已成为客机、运输机综合化航空电子系统的主干网络,AFDX端系统(ES)是其重要的组成部分。介绍了ARINC664标准对ES设计关键的虚拟链路、子虚拟链路、带宽和抖动要求,论述了ES发送单元的结构、组成和流程分析,重点描述了虚拟链路和子虚拟链路的发送调度机制和实现方法。采用FPGA实现了AFDX端系统发送单元的功能目标,为研制自主化的ES产品奠定了基础。