分布式计算环境下的栅格数据存储策略

针对传统的栅格数据存储策略不能满足分布式计算环境下粗粒度数据访问需求,应对海量栅格数据计算时效率低下的问题,结合分布式文件系统的存储特点,同时考虑地图代数算子在Map/Reduce阶段以栅格瓦片为单位的计算特点,提出一种基于Hadoop分布式文件系统的栅格瓦片存储策略。围绕栅格数据瓦片分割、压缩瓦片数据组织与存储、分布式文件输入输出接口改进等方面对该存储策略加以实现,并使用基于该存储策略的地图代数局部算子的分布式计算流程加以验证。理论分析与实验结果表明,该策略能够显著提高分布式计算环境下空间分析算子的运算速度。     

基于多源冲突数据聚类的态势估计方法

传统调和式态势估计方法在面对多源冲突数据时融合效果不佳。为此,提出一种基于冲突数据聚类的非调和式态势估计方法。首先利用迭代自组织数据聚类方法(ISODATA)对多源冲突数据进行聚类,然后利用频度和可信度对数据簇的重要性进行评估,最后得到态势估计结果。仿真结果表明,与传统态势估计方法相比,所提方法在融合多源冲突数据时能够得到可信度较高的态势估计结果。     

一种改进的AVL系统中车位显示修正算法

AVL系统就是GIS与GPS技术集成的成功应用。AVL系统中GPS信号在GIS地图上显示时,由于各种因素的影响,存在很大的偏差。对这种偏差的校正是十分必要的。为了解决这个问题,对以前提出的误差校正算法———"线性抽象算法"进行了改进,提出了另一种误差校正方法———"缓冲区线性抽象算法",实验结果表明这种方法能在很大程度上校正偏差,不但具有较高的精度,而且还提高了算法效率。     

基于XML的武器装备作战需求核心数据管理方法

武器装备作战需求核心数据管理是作战需求分析的基础。针对目前作战需求缺乏统一的底层数据管理标准的现状,制定了基于XML的核心数据存储、抽取和一致性检验策略,实现了作战需求核心数据的管理。实践应用表明,该方法能够为需求论证工程化提供有效的底层数据支撑。     

抗差最小二乘估计在惯组外场标定中的应用

惯组在外场进行标定时常常会受到环境的振动干扰,从而会对惯组的标定精度造成极大的影响.为解决这一问题,在分析了粗差对惯组标定精度影响的前提下,建立了一种改进的辨识惯组误差系数的数学模型,使其能够分辨出那些受到振动干扰影响的惯组误差系数.最后利用抗差最小二乘估计对惯组误差系数进行处理,通过等价权函数的连续降权和连续减弱影响处理,抵制了异常数据对惯组标定精度的影响.仿真结果表明,抗差最小二乘估计具有很强的抗差能力,能有效减弱异常干扰对参数估计的影响,提高惯组外场标定的精度和数据的可靠性.     

外科手术影像资料在《外科护理学》课堂教学中的应用研究

目的将直观的外科手术影像资料应用于护理本科生的《外科护理学》课堂教学中,探讨其对学生掌握相关理论知识程度的影响,探寻一种新的、更有效的外科护理专业授课模式。方法将同一年级的131名护本生按班级随机分为对照组（1班,4班,共65例）和实验组（2班,3班,共66例）,对照组按照传统教授为主的教学模式实施课堂教学;实验组将外科手术影像资料结合教科书内容运用于课堂教学。结果实验组学生的理论授课后当堂测试成绩高于对照组;理论授课三个月后,试验组理论测试成绩明显高于对照组,实验组与对照组成绩之间的差异有统计学意义（P〈0．05）。结论将直观的外科手术影像资料运用于《外科护理学》课堂教学的授课模式,对护理本科生掌握相关理论知识程度的影响优于传统的教学模式。     

Book review

La Conversion économique du secteur militaire, J. FONTANEL, Economica, Paris, 1994, pp. 112. Paperback. ISBN 2–7178–2650–5.     

The impact of defense and non‐defense public spending on growth in Asia and Latin America∗

For a three‐sector Feder‐Ram framework, we present time‐series, cross‐sectional estimates for two cohorts, consisting of Asian and Latin American countries. The estimates indicate that private investment, and defense and non‐defense public spending are growth promoting for alternative error components representations. For the best error components representation, greater growth enhancement is associated with the two forms of public spending in Asia than in Latin America, while the opposite comparison characterizes private investment. Although defense is growth promoting, an opportunity cost exists insofar as non‐defense spending, financed by defense spending, appears to give a small net boost to growth in Latin America.     

MILITARY EXPENDITURE AND ECONOMIC GROWTH IN MIDDLE EASTERN COUNTRIES: A DYNAMIC PANEL DATA ANALYSIS

Defence expenditures have both costs and benefits to the economy. The costs of defence expenditures are mainly emphasized as opportunity costs. On the other hand, defence spending may have growth‐promoting potential benefits: a rise in defence spending may result in a higher aggregate demand, production and employment. This paper examines empirically the effects of military expenditures on economic growth for Middle Eastern countries and Turkey, for the time‐period 1989–1999. The relationship between military expenditure and economic growth is investigated by using cross‐section and dynamic panel estimation techniques. Empirical analysis indicates that military expenditure enhances economic growth in the Middle Eastern countries and Turkey as a whole.     

Determinants of military expenditure and the role of globalisation in a cross-country analysis

Abstract

Anecdotal evidence offers conflicting views on the impact of globalisation on military expenditure. We contribute to the existing literature by investigating the effect of globalisation on military expenditure in 82 countries for the period, 1989–2012. After introducing economic and strategic variables into the model, we utilise the dynamic panel generalised method of moments system to estimate the relationship in the variables. The empirical findings reveal that globalisation reduces both military burden and real military expenditure. The findings are consistent, irrespective of the globalisation indicator adopted. The policy implications of the results are explained.