装备指挥训练模拟系统可组构性研究

从分析可组构性仿真研究现状入手，结合装备指挥训练模拟特点，分析了装备指挥训练模拟系统（equipment command training simulation system，ECTSS）可组构性的实质，总结了实现装备指挥训练模拟系统可组构性过程中面临的问题；以可组构性仿真理论为指导，提出实现装备指挥训练模拟系统可组构性目标的4种途径：为系统建立一致的军事概念模型，构建柔性的体系结构，建立可重用的仿真资源库和建立通用、标准的数据表示、交换和存储机制。

提高作战模拟软件资源可重用性的思考

软件重用是缩短开发周期、提高产品质量、减少经费和降低风险的有效途径.在分析制约我军作战模拟软件资源重用瓶颈的基础上,结合当前建模与仿真、软件工程等领域的前沿技术,提出了基于可组构性仿真、面向实体、模式、Web服务等技术的解决方案,较好地解决了如何提高作战模拟软件资源重用性的问题.

基于数值分析的装备体系作战能力研究

装备体系的作战能力是部队战斗力的重要组成部分,是分析部队力量编成、评估部队完成任务能力常用的关键性指标。系统采用层次化、可组构、面向实体的数据存储结构对装备体系进行描述,基于"五力"指数指标体系和量化、聚合模型逐层计算装备单元、作战单元和装备体系的作战能力,既保持了数值分析方法使用简单、计算快速的优点,又较好地解决了不同类型武器装备之间的能力聚合和对比分析等问题,可为制定装备发展规划、构建训练模拟系统等提供基础参考数据。

Effects of Different Nitrogen Fertilizer Rates on Soluble Sugar,Starch and Root Tissue Structure of the Peach Trees

[Objective] The research aimed to provide theoretical basis for the cultivation and production of peach.[Method] The three-year-old seedling peach tree was used as the materials,and NH4NO3 was used as the experimental nitrogen fertilizer.Three nitrogen levels,0,3,6 g per pot respectively were set to study the effects of different nitrogen fertilizer on the contents of soluble sugar,starch and internal structure of the root of the peaches.[Result] The contents of soluble sugar of roots and leaves increased with the increase of nitrogen fertilizer level,and the level of 6 g per pot was the highest,which showed extreme differences between the level of 3 g per pot and the control.However,starch contents showed opposite results,which decreased as the level of nitrogen fertilizer increased.Compared with the 3 g per pot level of nitrogen fertilizer and the control,the internal structure of root applied with nitrogen fertilizer of 6 g per pot level had larger fibrovascularcylinder,advanced vascular bundle,small-spaced thin-walled cells,smooth and full cells with smooth cell wall.[Conclusion]Appropriate nitrogen levels can accelerate the accumulation of soluble sugar and the growth of root tissue structure.

A self-organized locator obtaining method driven by local minima

The scalability of routing architectures for large networks is one of the biggest challenges that the Internet faces today.Greedy routing,in which each node is assigned a locator used as a distance metric,recently received increased attention from researchers and is considered as a potential solution for scalable routing.In this paper,LMD—a local minimum driven method is proposed to compute the topology-based locator.To eliminate the negative effect of the " quasi" greedy property—transfer routes longer than the shortest routes,a two-stage routing strategy is introduced,which combines the greedy routing with source routing.The greedy routing path discovered and compressed in the first stage is then used by the following source-routing stage.Through extensive evaluations,based on synthetic topologies as well as on a snapshot of the real Internet AS(autonomous system)topology,it is shown that LMD guarantees 100%delivery rate on large networks with low stretch.

A component-based back-propagation reliability model with low complexity for complex software systems

Since most of the available component-based software reliability models consume high computational cost and suffer from the evaluating complexity for the software system with complex structures,a component-based back-propagation reliability model(CBPRM)with low complexity for the complex software system reliability evaluation is presented in this paper.The proposed model is based on the artificial neural networks and the component reliability sensitivity analyses.These analyses are performed dynamically and assigned to the neurons to optimize the reliability evaluation.CBPRM has a linear increasing complexity and outperforms the state-based and the path-based reliability models.Another advantage of CBPRM over others is its robustness.CBPRM depends on the component reliabilities and the correlative sensitivities,which are independent from the software system structure.Based on the theory analysis and experiment results,it shows that the complexity of CBPRM is evidently lower than the contrast models and the reliability evaluating accuracy is acceptable when the software system structure is complex.

Interval design point method for calculating the reliability of structural systems

The evaluation of reliability for structural system is important in engineering practices.In this paper,by combining the design point method,JC method,interval analysis theory,and increment load method,we propose a new interval design point method for the reliability of structural systems in which the distribution parameters of random variables are described as interval variables.The proposed method may provide exact probabilistic interval reliability of structures whose random variables can have either a normal or abnormal distribution form.At last,we show the feasibility of the proposed approach through a typical example.