空袭目标威胁程度的综合评估与排序模型

提出了空袭目标威胁程度判断的基本准则,针对实战中地空导弹武器系统进行威胁评估时,有不少因素不可能完全明确、带有一定模糊的特点,利用层次分析法和模糊评判法(analytical hierarchy process and fuzzyevaluation,AHP-Fuzzy),建立了空袭目标威胁评估与排序模型。通过实例验证了该模型的合理性和有效性。     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

对数学软件包Maple中存在Bug的剖析

本文阐述了在计算定积分时，所求的原函数存在有限间断点情况下，应以这些间断点作为分点分段应用Ｎｅｗｔｏｎ－Ｌｅｉｂｎｉｚ公式计算定积分再相加的原则，在正确使用数学软件包方面的重要性．     

C3I网络链路可靠性计算的一种方法

在将C3I网络系统简化看成通信网络系统的基础上,提出C3I网络系统的可靠性定义,介绍了网络链路简化技术。在分析多种网络支撑树的计算方法后,提出运用改进的毕内-柯西法计算C3I网络的支撑树,进而计算网络链路的可靠性,并结合算例,运用改进的毕内-柯西法对所构建的反空袭C3I网络系统的链路可靠性进行计算,最后对毕内-柯西法的运用进行了总结。     

基于DEA方法的供应链效能评估

针对目前对供应链的投入产出效能只能进行定性分析和简单定量计算的情况,把供应链看作一个具有输入输出的系统,以供应链不同阶段的投入为输入指标,以客户对供应链的满意度为输出指标,利用数据包络分析(DEA)方法,建立了供应链投入产出效能评估的数学模型.以企业内部供应链为例,通过MATLAB进行了仿真计算,根据计算结果给出了改进供应链效能的相关建议.     

桥结构振动特性分析诊断平台的设计与实现

动态时程分析可以考虑众多的复杂实际问题[1-5],有关专业院校和研究单位曾对桥梁结构振动特性进行了研究、分析和计算,并取得了一定的进展,但仍处于研究探讨阶段.在实际应用中采用动态信号分析方法,测量过程复杂,测量参数局限性大,系统配置多,造价高,且需要专业人员操作,离全国     

一类广义积分计算技巧和应用

针对用于确定横载同宿条件的Ｎｅｌｎｉｋｏｖ函数中广义积分计算的困难，给出了一种计算技巧，应用这种技巧建立了非对称Ｄｕｆｆｉｎｇ振子参数激励存在Ｓｍａｌｅ马蹄的条件。     

基于灰色预测模型的公路运输量预测

为了准确预测公路运输量,提高公路运输行业的管理水平,在运输业近年运量统计数据的基础上,利用灰色预测理论的GM(1,1)模型,给出了运用GM(1,1)模型进行预测的详细步骤,并以浙江省公路运输量预测为例进行了实际应用,对预测结果进行误差检验,表明预测结果具有较高的精度.     

学生田径技术成绩综合评定初探

本文运用了二阶模糊综合评分模型对学生的田径技术成绩进行了综合评判,以模糊定量形式给学生掌握标枪投掷技术水平的高低评判提供了客观标准,较好地解决了长期以来不能很好解决的由定性评定转化为定量分值的问题。     

一个规划AGV行走方案的新算法

针对AGVS(自动导引小车系统)柔性问题的研究现状,提出了一个AGV行走方案规划的新算法,处理因生产任务临时调整而引起的AGV路线调整,给出了该方法可行性的严格证明。该算法在路线调整操作中简单易行便于实施。