用DDM实现分布式三维虚拟环境

介绍了HLA中数据分发管理(DDM)的过滤原理;研究分析了目前几种实现DDM过滤机制的方法及其存在的问题,并提出一种简单易行的DDM实现策略,以实现三维虚拟环境的分布式,来提高它的响应速度.     

惯性导航系统水平阻尼网络的自适应控制

当海况变化较大时，惯性导航系统(INS)的误差振荡幅度较大．为了减小系统误差的振荡幅度，提出了一种新的设计思想，采用自适应控制方法，根据实际的海况变化情况，实时校正阻尼参数，使由舰船的机动性造成的系统误差最小．结果表明，与传统方法相比，水平误差角振荡幅度减小了约50％，速度误差振荡幅度减小了约30％．经度、纬度和航向误差振荡幅度也有明显改善；水平阻尼网络的自适应控制有效地改善了INS的动态性能．     

多元统计在运动训练水平中的应用

评价、分析运动训练水平是训练过程中的重要组成部分 ,是教练员控制训练过程的理论和实践依据 .利用多元统计的方法 ,对高校排球运动员的心理、生理、技术等重要指标进行研究 ,提出了运动训练水平的评价方法 .评价方法简单易行 ,具有一定的实用价值 .     

探针式水位跟踪仪的设计与应用

介绍了水位跟踪原理,分析了一种新型的探针式水位跟踪仪及其构成。     

正交拉丁矩阵的上下界

引进了一般形式的拉丁矩阵,并讨论了相互正交的拉丁矩阵个数的上下界。     

系统聚类分析在农村消费水平划分中的应用

中国的经济发展主要存在着“东部”与“西部”的差距，文章利用聚类分析对我国部分省、市、自治区共28个样本进行分类，并加以分析．     

抽水引起岩土体内应力变化分析

针对开采地下水这一特定问题,以在抽水实践中地下水水位面是一以井心为顶点的旋转抛物面为出发点,研究了地下水开采过程中岩土体应力变化的时空规律。通过分析影响内部应力变化的宏观物理量—开采影响半径、井心水位下降和空间位置,可以方便的得到随着时间变化岩土体内部应力变化的全程规律。同时,分析了影响边界、下沉位置等因素对计算结果的影响。     

Which survey indicators are useful for monitoring consumption? Evidence from European countries

This paper assesses the information content of two survey indicators for consumption developments in the near future for eight European countries in the period 1985–1998. Empirical work on this topic typically focuses on consumer confidence, the perceptions of buyers of consumption goods. This paper examines whether perceptions of sellers of consumption goods, measured by retail trade surveys, may also improve short‐term monitoring of consumption. We find that both consumer confidence and retailer confidence embody valuable information, when analysed in isolation. For France, Italy and Spain we conclude that adding retail confidence does not improve the indicator model once consumer confidence has been included. For the UK the reverse case is obtained. For the remaining four countries we show that combining consumer sentiment and retail trade confidence into a composite indicator leads to optimal results. Our results suggest that incorporating information from retail trade surveys may offer significant benefits for the analysis of short‐term prospects of consumption. Copyright © 2004 John Wiley & Sons, Ltd.     

A ground‐level ozone forecasting model for Santiago,Chile

A physically based model for ground‐level ozone forecasting is evaluated for Santiago, Chile. The model predicts the daily peak ozone concentration, with the daily rise of air temperature as input variable; weekends and rainy days appear as interventions. This model was used to analyse historical data, using the Linear Transfer Function/Finite Impulse Response (LTF/FIR) formalism; the Simultaneous Transfer Function (STF) method was used to analyse several monitoring stations together. Model evaluation showed a good forecasting performance across stations—for low and high ozone impacts—with power of detection (POD) values between 70 and 100%, Heidke's Skill Scores between 40% and 70% and low false alarm rates (FAR). The model consistently outperforms a pure persistence forecast. Model performance was not sensitive to different implementation options. The model performance degrades for two‐ and three‐days ahead forecast, but is still acceptable for the purpose of developing an environmental warning system at Santiago. Copyright © 2002 John Wiley & Sons, Ltd.