基于复杂网络的车载自组织网络脆弱性分析

车载自组织网络(VANET)作为智能交通的重要基础应用，其安全稳定地运行是交通系统乃至社会经济可持续发展的需要。以最大连通度、连通分支平均规模、全局网络效率等参数为脆弱性测度指标，基于复杂网络理论，应用车辆仿真软件(VanetMobiSim)建立了VANET网络拓扑模型，详细研究了在随机攻击和蓄意攻击模式下脆弱性量化指标随节点移除比例的变化关系；通过仿真实验分析了节点密度、信号辐射半径及不同攻击策略对VANET脆弱性的影响。仿真结果表明:VANET在蓄意攻击下比较脆弱，基于节点介数的蓄意攻击效能最强；节点密度、信号辐射半径越小，VANET连通性越差，网络越脆弱。所提方法和结果为VANET拓扑控制优化和网络管理决策提供了理论依据。      

飞轮微振动的组合隔振装置设计及实验研究

针对光学遥感卫星飞轮微振动引起的成像质量下降问题，设计了一种组合隔振装置，并采用仿真分析与实验测试相结合的方法对隔振方案设计的合理性进行验证。首先，将测量的飞轮扰振数据引入光学卫星的有限元模型中，计算出飞轮扰振对光学相机的像素偏移影响；其次，设计了组合隔振方案并基于有限元方法对其隔振效果进行验证；最后，搭建了光学成像微振动实验测试平台，对不同转速下飞轮微振动造成的像素偏移影响进行精确测量。实验结果表明，组合隔振装置对300 Hz以上高频段飞轮扰振有较大衰减作用，最大像素偏移降到0.01个像素以下，隔振效率达到80%以上；通过对比可知，实验测试与仿真计算得到的像素偏移结果在低频段一次谐波响应及模态响应表现出较好一致性，但在高频段二者存在一定偏差。     

Simulation and Analysis of Electromagnetic Force in Laser Melting Deposition by Electromagnetic Impact

Magnetic field was introduced in laser melting deposition to reduce the pores in workpieces.Finite 3-D model of the coil-deposition layer-substrate was established.Simulation results show that the electromagnetic force in deposition layer mainly concentrates in the projection area of the coil.Axial electromagnetic force shows repulsion in one cycle.The experimental results indicate that the magnetic field is beneficial for grain refinement,microhardness increasement and decline of quantities and average sizes of pores.     

上市公司财务会计信息披露问题的研究

分析了我国上市公司财务会计信息披露不规范的成因 ,在此基础上 ,提出了规范上市公司财务会计信息披露的有效对策。     

热处理作业系统中安全性评价的AHP方法

本给出了系统安全性评价的AHP方法，叙述了该方法的基本步骤，并以沈阳某集团公司热处理弹簧厂评价的实例说明了该方法的有效性。     

基于ADAMS/Aircraft的起落架滑跑模型仿真

以小车式起落架为例,利用ADAMS/Airc- raft建立了起落架滑跑试验仿真模型.给出了起落架滑跑运动方程,并进行了滑跑试验仿真分析。仿真结果与理论要求对比具有较好的一致性。     

Performance evaluation for MAP state estimate fusion

This paper presents a quantitative performance evaluation method for the maximum a posteriori (MAP) state estimate fusion algorithm. Under ideal conditions where data association is assumed to be perfect, it has been shown that the MAP or best linear unbiased estimate (BLUE) fusion formula provides the best linear minimum mean squared estimate (LMMSE) given local estimates under the linear Gaussian assumption for a static system. However, for a dynamic system where fusion is recursively performed by the fusion center on local estimates generated from local measurements, it is not obvious how the MAP algorithm will perform. In the past, several performance evaluation methods have been proposed for various fusion algorithms, including simple convex combination, cross-covariance combination, information matrix, and MAP fusion. However, not much has been done to quantify the steady state behavior of these fusion methods for a dynamic system. The goal of this work is to present analytical fusion performance results for MAP state estimate fusion without extensive Monte Carlo simulations, using an approach developed for steady state performance evaluation for track fusion. Two different communication strategies are considered: fusion with and without feedback to the sensors. Analytic curves for the steady state performance of the fusion algorithm for various communication patterns are presented under different operating conditions.     

在二元柔壁自适应风洞中利用面元法进行三元模型实验

简要叙述了在西北工业大学二元柔壁自适应风洞中利用面元法进行二元半机翼模型试验的研究情况，分析了面元法的基本思想和部分试验结果。     

平面形状误差分离方法的比较分析

就十种典型的精密平面形状误差测量－分离方法的权函数及其零点，作了分析比较。按形状误差谐波抑制最小准则，论证了五点式正交逐次三点法、九点式正交逐次三点法、复合三点法、不对称二维混合法和不对称四点法优于其他方法，不对称四点法则较为理想。     

On adaptive spatial-temporal processing for airborne surveillanceradar systems

Implementing the optimum spatial-temporal (angle-Doppler) processor involves two crucial issues: the selection of processing configurations, and the development of adaptive algorithms which can efficiently approach the performance potential of the selected configuration. Among the three available configurations, the joint-domain, the cascade space-time, and the cascade time-space, this work shows that, in contrast to a popular belief, the detection performance potentials of both cascade configurations can fall far below that of the joint-domain optimum. In addition, this work presents a new adaptive algorithm, called the Joint-Domain Localized Generalized Likelihood Ratio detection (JDL-GLR), which is data efficient i.e., with fast convergence to the joint-domain optimum, as well as computationally efficient, together with such desirable features as the embedded constant false-alarm rate (CFAR) and robustness in non-Gaussian interference