利用VB设计动态模拟MCS51中断系统的仿真平台

用VB编程软件设计——仿真单片机8051中断系统的响应过程，采用动态教学方法，实验演示和动手相结合，使教学变得活灵活现，栩栩如生。     

Optimal guidance against active defense ballistic missiles via differential game strategies

The optimal guidance problem for an interceptor against a ballistic missile with active defense is investigated in this paper. A class of optimal guidance schemes are proposed based on linear quadratic differential game method and numerical solution of Riccati differential equation. By choosing proper parameters, the proposed guidance schemes are able to drive the interceptor to the target and away from the defender simultaneously. Additionally, fuel cost, control saturation, chattering phenomenon and parameters selection were taken into account. Satisfaction of the proposed guidance schemes of the saddle point condition is proven theoretically. Finally, nonlinear numerical examples are included to demonstrate the effectiveness and performance of the developed guidance approaches. Comparison of control performance between different guidance schemes are presented and analysis.     

考虑机翼尾流影响的运输类飞机后体气动外形优化设计（英文）

在某典型运输机翼身组合体的构型上,进行了考虑机翼尾流影响的机身后体气动外形优化设计研究。基于翼身组合体构型建立了考虑尾流影响和部分工程约束的优化设计系统,并对后体构型在巡航状态下进行了优化设计。以比较适合描述后体变形的NURBS样条基函数为空间控制体属性引入FFD自由变形技术,通过在FFD控制框架对该运输机后体进行了空间属性构建。采用无限差值动网格技术提高空间网格的更新效率并保证网格质量。利用改进Kriging代理模型、量子粒子群优化算法提高优化效率和全局寻优能力。为减小巡航阻力,对某运输机后体的上翘角、截面形状等参数进行了优化设计,优化结果显示,设计后的机身气动特性明显提高。     

从王国维谈人文素质

撷王国维博大深沉学术之一粟,试对王国维所蕴含和阐发的人文素质做一个简约的梳理,以期窥其特质,集心香一瓣,并引为今人启迪。     

Perception,object kind,and object naming

Spatial Cognition and Computation - We investigated whether certain perceptual properties of objects could support children's and adults' judgments of the range of shape changes permissible...     

Initial design of laboratories for sustainable habitation

An effective and self-sustainable artificial habitat design is essential for human spaceflight and expansion of mankind into orbit or towards other celestial bodies. There are two approaches that need to be implemented in future sustainable habitats: the use of re-cycling technologies in order to gain experience in closed-loop processes and the primary production of resource materials using In Situ Resource Utilisation (ISRU) principles. Various products will be provided and, where applicable, recycled in such a system taking into account basic human factors requirements such as crew work load capacity, safety and well-being, namely:     

Age differences in adults' spatial abilities,learning environmental layout,and wayfinding behavior

Empirical relations among age, general spatialability as assessed by psychometric tests,wayfinding-related skills as assessed byexperimental tasks in the laboratory,environmental layout learning as assessed in afield experiment, and wayfinding behavior asobserved in a field experiment were modeled ina study involving 120 younger and 120 olderadults. The best-fitting model showed thatage-related differences in learningenvironmental layout were significantly, butnot exclusively, mediated by a single abilityfactor defined by psychometric tests. Knowledge of environmental layout was theexclusive mediator between general spatialability and wayfinding behavior. Thus, agedifferences in psychometric test performancewere found to be a major factor in accountingfor aging-related decline in learningenvironmental layout, but other variables notassessed in this study also play a significantrole.     

在大学综合英语课堂教学中提升学生学习自主性的行动研究

通过采用行动研究的方法,揭示大学生英语学习中自主性问题的现状,并试图在教学实践中探索出有效的提升大学生英语学习自主性的方法。通过问卷、访谈、课堂观察等方式展开调查,并在分析和实践中发现,只有教师不断地激励,并在课堂上创设能够让学生发挥学习自主性的情境,开展多样的课堂活动,学生的英语学习自主性才会不断地提升,英语学习才会呈现出良性发展的态势。     

Measuring air traffic complexity based on small samples

Air traffic complexity is an objective metric for evaluating the operational condition of the airspace.It has several applications,such as airspace design and traffic flow management.Therefore,identifying a reliable method to accurately measure traffic complexity is important.Considering that many factors correlate with traffic complexity in complicated nonlinear ways,researchers have proposed several complexity evaluation methods based on machine learning models which were trained with large samples.However,the high cost of sample collection usually results in limited training set.In this paper,an ensemble learning model is proposed for measuring air traffic complexity within a sector based on small samples.To exploit the classification information within each factor,multiple diverse factor subsets (FSSs) are generated under guidance from factor noise and independence analysis.Then,a base complexity evaluator is built corresponding to each FSS.The final complexity evaluation result is obtained by integrating all results from the base evaluators.Experimental studies using real-world air traffic operation data demonstrate the advantages of our model for small-sample-based traffic complexity evaluation over other stateof-the-art methods.     

基于深度学习的ADS-B异常数据检测模型

广播式自动相关监视（ADS-B）是下一代空中交通运输系统的重要组成部分，是新航行系统中非常重要的通信和监视技术，但其协议没有提供相关的信息认证和数据加密，因此极其容易受到欺骗干扰的影响。针对ADS-B报文数据特点，采用深度学习的seq2seq模型对ADS-B报文数据进行重构，通过重构误差来检测异常，并对数据进行特征扩展，使模型能更好的捕捉数据的时间依赖性。实验结果表明，所采用的方法优于传统的机器学习方法，且在数据特征扩展后，模型检测效果提升。相比于现有的欺骗干扰检测方法，该方法不需要改变ADS-B系统的协议，也不需要额外的节点或传感器参与，具有一定的适应性和灵活性。