谈英语词汇学习的语义因素

词汇学习和记忆是学习语言的最基本的手段,也是运用语言的先决条件。学习英语词汇除了从词汇的语音、拼写和一般定义入手外,还应特别注意词汇的语义。本文尝试从词汇的语义关系这个角度论述语义在英语词汇学习中的重要性。     

新时期高校学生社团活动的特点和作用

高校学生社团活动在校园内蓬勃兴起,根据学生社团活动在新时期的新特点和对学生工作及跨世纪教育工程的特殊影响和作用,相关部门应给予积极的扶持,实施有效的管理,进行正面的引导,为最终实现高校教育目标将起到正面的。积极的作用     

基于模糊集理论和D-S证据推理的空袭目标识别

目标识别是防空作战指挥过程中信息处理的一个重要环节。在基于模糊理论目标识别基础上,引入D-S证据理论,通过对模糊隶属度进行重新分配,较好地克服了随机因素的影响,可望进一步提高对空中目标的正确识别率。     

航迹关联算法在飞行计划管理中的应用

针对传统飞行计划管理中的缺限,基于MK－NN航迹关联算法思想,提出了一种利用方向因子、速度因子、偏航因子、时差因子和区域因子对综合航迹和计划航迹进行比较关联的方法,实现对飞行计划实施的动态监控,从而提高了飞行计划管理的准确性与科学性。     

一种模糊自适应INS/GPS组合导航方法

提出了一种基于模糊逻辑的自适应卡尔曼滤波新算法,即基于滤波数据残差构造一种模糊算法,以自适应控制卡尔曼滤波器的增益系数。从而可以消除异常的测量数据带来的影响,使滤波器的残差始终保持零均值,且使估计误差的协方差阵收敛,最终实现最优估计。通过对INS/GPS组合导航系统的计算机仿真结果表明,该算法具有比常规卡尔曼滤波算法更高的导航精度。     

一种雷达类型识别方法

针对目前雷达辐射源识别中存在的,对于数据库中未存储的雷达类型识别能力较差的情况,提出了一个雷达辐射源识别系统,在系统中将雷达的识别分为已知雷达识别和未知雷达识别两个部分分别进行,并给出了系统各个组成部分的实现原理。试验证明,本系统对于未知的雷达类型有着较强的识别能力。     

防空兵C3I系统C3CM能力的模糊综合评判模型

通过对防空兵C3I系统C3CM(C3I对抗)的分析,建立了防空兵C3I系统C3CM能力评价指标,应用模糊综合评判方法建立了相应的评估模型,介绍了用层次分析法确定各因素权重的方法,并给出了具体实例证明其模型的可行性.     

改进的拉格朗日松弛数据关联算法

在多传感器多目标跟踪领域中,当传感器为被动式的,传统的多维分配算法利用拉格朗日松弛算法求解.拉格朗日乘子更新一般用次梯度方法,但每次迭代都要进行多次极小化运算来求对偶解,导致实时性差.针对这个问题,提出了一种改进的基于拉格朗日松弛的数据关联算法,通过代理修正次梯度方法更新拉格朗日乘子,并在允许时间内获得近似解.仿真实验...     

Fuzzy recognition of missile borne multi-line array infrared detection based on size calculating

In order to improve the infrared detection and discrimination ability of the smart munition to the dy-namic armor target under the complex background, the multi-line array infrared detection system is established based on the combination of the single unit infrared detector. The surface dimension features of ground armored targets are identified by size calculating solution algorithm. The signal response value and the value of size calculating are identified by the method of fuzzy recognition to make the fuzzy classification judgment for armored target. According to the characteristics of the target signal, a custom threshold de-noising function is proposed to solve the problem of signal preprocessing. The multi-line array infrared detection can complete the scanning detection in a large area in a short time with the characteristics of smart munition in the steady-state scanning stage. The method solves the disadvan-tages of wide scanning interval and low detection probability of single unit infrared detection. By reducing the scanning interval, the number of random rendezvous in the infrared feature area of the upper surface is increased, the accuracy of the size calculating is guaranteed. The experiments results show that in the fuzzy recognition method, the size calculating is introduced as the feature operator, which can improve the recognition ability of the ground armor target with different shape size.     

Decision support model for effects estimation and proportionality assessment for targeting in cyber operations

Cyber operations are relatively a new phenomenon of the last two decades.During that period,they have increased in number,complexity,and agility,while their design and development have been processes well kept under secrecy.As a consequence,limited data(sets)regarding these incidents are available.Although various academic and practitioner public communities addressed some of the key points and dilemmas that surround cyber operations(such as attack,target identification and selection,and collateral damage),still methodologies and models are needed in order to plan,execute,and assess them in a responsibly and legally compliant way.Based on these facts,it is the aim of this article to propose a model that i))estimates and classifies the effects of cyber operations,and ii)assesses proportionality in order to support targeting decisions in cyber operations.In order to do that,a multi-layered fuzzy model was designed and implemented by analysing real and virtual realistic cyber operations combined with interviews and focus groups with technical-military experts.The proposed model was evaluated on two cyber operations use cases in a focus group with four technical-military experts.Both the design and the results of the evaluation are revealed in this article.