仿真模型中复杂三维实体集的选择与交互技术研究

鉴于目前商用图形软件包对于复杂模型中三维实体集显示与选择的局限性，本文提出了一种新的判断点与面域从属关系的方法，此方法借鉴计算机图形学中扫描转换填充算法的射线法，并在此基础上对射线法进行扩充和完善，文章同时对三维复杂实体群的交互手段和技术进行了研究，在解决实际问题中取得了良好的效果。     

解决二维合理下料问题的一种新方法

为解决二维合理下料问题,本文提出了一种新的下料方法,给出相应的数学模型及计算方法。此方法具有简单、计算量小等特点。实例计算表明,它对节省板材效果显著。     

面向对象的系统活动描述方法

通过实例介绍了系统活动作为一个对象／类的概念，给出了对系统活动进行分析和建模的一般步骤，提出了系统活动描述的形式化方法。     

铝电解过程控制信号的滤波与噪声解析模型的研究

将快速傅里叶变换技术和数字滤波器设计技术应用于铝电解过程控制信号的滤波与噪声解析模型中,在160kA中间点式下料预焙槽上的试验结果表明了模型的有效性。     

Estimation and testing of time-varying coefficient regression models in the presence of linear restrictions

A linear regression model with random walk coefficients is extended to allow for linear restrictions between the coefficients to be satisfied at each point in time. Estimation in this model is shown to be no more involved than estimation in the standard model. It is also demonstrated how, after a slight modification to the testing problem, classical test procedures may be applied to the problem of testing for such restrictions. The performance of the Lagrange Multiplier test for a variety of different restrictions is then investigated via simulation. An empirical application involving testing for homogeneity in a random walk coefficient version of the AIDS model is given.     

三种饲料添加剂对幼兔增重及饲料转化率的对比试验

对新球虫灵,喹乙醇,免健宝Ⅰ号,Ⅱ号配套复合饲料添加剂进行的幼兔饲养对比试验结果表明:以免健宝Ⅰ、Ⅱ号配套复合饲料添加剂联合效果为最佳,其它依次为单用兔健宝Ⅱ号、兔健宝Ⅰ号、喹乙醇,新球虫灵。而且兔健宝Ⅰ、Ⅱ号配套复合饲料添加剂有易混匀,简化配合饲料工序、节省饲料及增重快等优点。     

溶剂化缔合物模型与溶解度

提出了一种适合于研究非理想溶液的溶剂化缔合物模型.借助该模型,对物质的溶解度在定量和半定量的水平上进行了研究,并获得了满意的结果。     

中能区反质子与原子核散射的极化度

在已获得的中能区反质子与核的中心势的光学势基础上,把光学势扩大到包含自旋轨道耦合势.在反质子能量为179.8,294.8和508MeV各情况下,分别计算和分析与~(12)C靶核的微分截面(dσ)/(dΩ),极化度P(θ)和自旋转动函数Q(θ).在与极化度的实验比较中,得到中能区普遍形式的反质子光学势.     

jj耦合g因子

本文从矢量模型出发，导出纯ｊｊ耦合下ｇ因子表达式，并证明了当近似取ｇｓ＝２时，该式等价于量子力学的ｇ因子矩阵略去非对角元的结果，说明了矢量模型的近似程度。     

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.