动态飞行求解双35标准值方法

通过顺解法,利用录取的目标现在点数据,已知的射表数据及对有关偏差量的修正,可求解出斜距离４５００ｍ,高低角０°至８４°范围内的标准值     

切比雪夫多项式降阶技术在设计数字滤波器中的应用

论述一个以切比雪夫多项式为基础,能够使Ｎ阶多项式降阶而误差精度高的技术方法和此技术在设计数字滤波器中的应用。     

网络入侵检测系统中的数据缩减技术

在进行事件分析之前,网络入侵检测系统首先要面对数据缩减的问题。以ANIDS为背景,分析了两种重要的数据缩减技术:相关特征子集选择和特征再构造。提出了一种基于Wrapper方法的最优特征子集选取算法SRRW。在考虑学习算法偏置的情况下,通过识别强相关特征并引入约束,能够更快地搜索并获得最优的相关特征子集。从特征再构造角度出发实现数据缩减,并通过因子负荷量矩阵分析了原始特征之间的相关性。     

基于神经网络的机动多目标数据关联算法

虽然JPDA被公认为是杂波多目标环境下跟踪效果最理想的数据关联算法之一,但在密集回波情况下其计算量易出现组合爆炸现象,难于实时处理。通过对Hopfield网络解决TSP问题的研究,探讨用神经网络解决联合概率数据关联(JPDA)中数据运算的组合爆炸问题的办法     

PETRI网理论在航空电子综合化系统中的应用

提出航空电子综合化系统与PETRI网理论之间的关系,给出航空电子综合化系统组网元素的PETRI网表达方法,以及航空电子综合化系统中指令消息格式的PETRI网模型,并以某型飞机航空电子综合化系统为实例,进行了建模、分析和优化的仿真.     

凹槽构型对平板气层减阻影响试验分析

通过平板凹槽喷气减阻模型试验,研究了航速和气流量等因素对平板气层减阻规律的影响,并利用水下摄像系统对不同凹槽构型内的气层形态进行了观测。试验结果表明:不喷气时凹槽的存在会使平板的阻力增加;喷气可以有效减小平板阻力,存在饱和气流量;饱和气流量随着槽深的增加而减小,饱和气流量下平板的绝对减阻率随航速的增加而降低;设置凹槽构型是保持平板下表面气层稳定性的有效措施,合适的凹槽构型可以明显改善平板底部喷气流场,提高平板喷气减阻效果;在Fr为0.119时,饱和气流量下平板的绝对减阻率可以达到40%以上。     

多阶段任务系统可靠性分析的二元决策图模型

为了实现计算机自动生成多阶段任务系统的二元决策图可靠性模型,提出了二元决策图可靠性建模的通用方法。定义了嵌套的二元决策图数据结构BDD_Element,给出了二元决策图模型的描述和存储方法,提出了与门、或门和k/n表决门向二元决策图模型的自动转化算法。给出了建立多阶段任务系统二元决策图可靠性模型的2个步骤:基于逻辑门转化算法,将部件逻辑关系结构函数转化为阶段二元决策图模型;基于二元决策图布尔操作规则整合阶段二元决策图模型。卫星姿态调整任务的可靠性分析表明:该方法可以有效应用于多阶段任务系统的可靠性分析。     

Combined variance reduction techniques in fully sequential selection procedures

In the past several decades, many ranking‐and‐selection (R&S) procedures have been developed to select the best simulated system with the largest (or smallest) mean performance measure from a finite number of alternatives. A major issue to address in these R&S problems is to balance the trade‐off between the effectiveness (ie, making a correct selection with a high probability) and the efficiency (ie, using a small total number of observations). In this paper, we take a frequentist's point of view by setting a predetermined probability of correct selection while trying to reduce the total sample size, that is, to improve the efficiency but also maintain the effectiveness. In particular, in order to achieve this goal, we investigate combining various variance reduction techniques into the fully sequential framework, resulting in different R&S procedures with either finite‐time or asymptotic statistical validity. Extensive numerical experiments show great improvement in the efficiency of our proposed procedures as compared with several existing procedures.     

Comparison of rank aggregation methods based on inherent ability

Ranking is a common task for selecting and evaluating alternatives. In the past few decades, combining rankings results from various sources into a consensus ranking has become an increasingly active research topic. In this study, we focus on the evaluation of rank aggregation methods. We first develop an experimental data generation method, which can provide ground truth ranking for alternatives based on their “inherent ability.” This experimental data generation method can generate the required individual synthetic rankings with adjustable accuracy and length. We propose characterizing the effectiveness of rank aggregation methods by calculating the Kendall tau distance between the aggregated ranking and the ground truth ranking. We then compare four classical rank aggregation methods and present some useful findings on the relative performances of the four methods. The results reveal that both the accuracy and length of individual rankings have a remarkable effect on the comparison results between rank aggregation methods. Our methods and results may be helpful to both researchers and decision‐makers.     

属性约简方法在威胁因素选择中的应用

分析了影响对空威胁判断的威胁因素,确定了各属性值离散化的处理标准,构建了基于粗糙集理论的对空威胁判断决策信息表;通过基于属性重要性的约简方法和基于正区域的约简方法对威胁因素进行了约简,确定了水面舰艇对空威胁判断的威胁因素,最后用Matlab仿真技术验证结论的正确性。