灰色层次分析方法在军用航空器需求论证中的应用

从军机的总体效能出发,综合考虑多种因素,建立起军机装备需求论证决策指标体系,运用灰色系统的相关理论和结合层次分析法,构建了基于灰色层次理论的新一代军机需求论证决策模型,通过实例计算表明这种模型的有效性和实用价值.     

基于随机减量的运行模态频域分析方法

以高层建筑、大跨桥梁等难以进行人工激励的大型复杂结构为对象,提出并实现了一种基于随机减量技术和复模态指示因子函数法的新型频域运行状态模态参数识别方法.由随机运行响应估计随机减量函数,然后通过时频域变换得到频域的半功率谱密度函数,并用复模态指示因子函数法从半功率谱密度函数中识别结构模态参数.最后对1个三维空间结构模型进行算法验证,得到相应的各阶模态参数,证明了将随机减量技术和复模态指示因子函数法相结合的方法识别大型结构模态参数的有效性和合理性.     

海上动态条件下静电陀螺监控器启动技术

静电陀螺监控器在航天测量船列装是该设备在国内首次被应用于大型水面舰艇。在此之前其设计方案以及启动策略全部针对于水下舰艇,对于航天测量船而言没有任何经验可以借鉴。因此,探索静电陀螺监控器在海上动态条件下的高精度启动技术成为了当前该设备在航天测量船应用中的主要问题。针对该问题,通过分析静电陀螺监控器启动的关键过程,结合设备工作原理,重点对海上动态条件下静电陀螺监控器的启动技术和相关参数进行了研究,实现了静电陀螺监控器在海上动态条件下的高精度启动。该技术目前已经成熟并且成功应用于测量船测控任务。     

集成运算放大器的噪声及其简化计算

介绍了运算放大器产生的机构，运放的Ｅｎ－Ｉｎ噪声等效电路模型，在等效电路的基础上求出了运放的噪声系数及最佳噪声电阻的估算公式。     

攻击型航空综合体作战效能分析的基本问题

以作战过程最为复杂的攻击型航空综合体为例，给出了与攻击型航空综合体作战效能分析相关的基本概念，简述了攻击机机群的基本作战过程，对其在完成作战任务的整个战斗机飞行过程中进行战效评估时所涉及到的基本问题－作战“剧本”的描述和所需要建立的数学模型等进行了较详细的介绍，阐述了各数学模型间的关系及各自应具有主要功能，为从系统工程观战来研究对地攻击机的作战效能，建立战效评估的顶层数学模型提供参考。     

三维工序模型的演进式构建方法

为实现以三维工序模型为核心的三维工艺构建,基于从毛坯模型到最终产品模型的演进过程,对三维工序模型的生成方法进行研究.在制造特征信息模型的基础上,结合基准信息建立了面向工序模型生成的工序信息模型.提出制造特征信息在工序模型中的映射机制,解决该模式下工序模型信息缺失的问题.以工序信息模型为模板,首先定义加工特征基元,然后通过实例化实现工序模型的变换.最后,通过集成工艺决策系统,构建三维工序模型生成系统,为后续工艺尺寸标注和工艺展示提供模型支持.     

Three-axis attitude determination using incomplete vector observations

Attitude determination refers to determining the orientation of a vehicle relative to its reference coordinate system. This paper presents a new algorithm for three-axis attitude determination using measurement vectors composed of incomplete vector components. The attitude determination performance of the proposed algorithm is compared with those of the TRIAD and QUEST algorithms in a simulation.     

矢量喷管数学模型研究

采用计算流体力学的有限体积法和神经网络方法,对矢量喷管的统一数学模型进行了研究,并得到了一种以神经网络描述形式的数学模型。该模型为矢量喷管控制规律和带有推力矢量的飞行／推进系统综合控制的研究提供了一定基础。     

Classification of hyperspectral remote-sensing data with primal SVM for small-sized training dataset problem

With recent technological advances in remote sensing, very high-dimensional (hyperspectral) data are available for a better discrimination among different complex land-cover classes having similar spectral signatures. However, this large number of bands makes very complex the task of automatic data analysis. In the real application, it is difficult and expensive for the expert to acquire enough training samples to learn a classifier. This results in a classification problem with small-size training sample set. Recently, a regularization-based algorithm is usually proposed to handle such problem, such as Support Vector Machine (SVM), which usually are implemented in the dual form with Lagrange theory. However, it can be solved directly in primal formulation. In this paper, we introduces an alternative implementation technique for SVM to address the classification problem with small-size training sample set. It has been empirically proven that the effectiveness of the introduced implementation technique which has been evaluated by benchmark datasets.     

Correlation between solar flare productivity and photospheric vector magnetic fields

Studying the statistical correlation between the solar flare productivity and photospheric magnetic fields is very important and necessary. It is helpful to set up a practical flare forecast model based on magnetic properties and improve the physical understanding of solar flare eruptions. In the previous study ([Cui, Y.M., Li, R., Zhang, L.Y., He, Y.L., Wang, H.N. Correlation between solar flare productivity and photospheric magnetic field properties 1. Maximum horizontal gradient, length of neutral line, number of singular points. Sol. Phys. 237, 45–59, 2006]; from now on we refer to this paper as ‘Paper I’), three measures of the maximum horizontal gradient, the length of the neutral line, and the number of singular points are computed from 23990 SOHO/MDI longitudinal magnetograms. The statistical relationship between the solar flare productivity and these three measures is well fitted with sigmoid functions. In the current work, the three measures of the length of strong-shear neutral line, total unsigned current, and total unsigned current helicity are computed from 1353 vector magnetograms observed at Huairou Solar Observing Station. The relationship between the solar flare productivity and the current three measures can also be well fitted with sigmoid functions. These results are expected to be beneficial to future operational flare forecasting models.