运用LaSRS^ 框架进行的F／A—18E／F坠落模型的模拟

采用C^ (LaSRS^ )框架（一种C语言服务软件——译者注)在兰利标准模拟的情况下，22％动力相似的F／A—F坠落模型的模拟已经成功地进行了开发。采用LsSRS^ 框架的开发是利用面向对象的分析、设计以及编程技术进行的。同时还使用通用软件设计。运用LaSRS^ 框架的开发工作促进了本身具有的可维护、可扩展、可靠的以及计算效率高的模拟的开发。     

门限自回归模型参数的局部正交设计寻优法

在采用点值图确定门限区间个数的基础上，对门自回归模型中门限值、滞后步长、各门限区间模型阶数，利用正交设计方法寻优，计算工作量锐减，却可得到精度较高的预报模型。     

RFID技术在物流配送中的应用模型研究

文章阐述RFID物流配送系统的构成及其信息处理过程,探讨RFID电子标签在物流配送全过程中的信息识别作用,提出了RFID技术在现代物流配送中的一种新型应用模型和方法。     

构建一种新型人为因素分析模型

全面研究了典型人为因素分析模型的特点和局限性，综合了其优点，从而提出了逆向网络链式反应模型的新理论。     

METHOD FOR DETECTING AND REPAIRING CYCLE SLIPS IN GPS NAVIGATION

A new method is proposed for detecting and repairing cycle slips in GPS navigation based on the dual frequency observations. It can be implemented through the following three steps: (1) The integer ambiguities of the current epoch are substituted by that of the previous epoch, so the ambiguity parameters are removed from the observation equations. (2) The abnormal observations are detected using the quasi accurate detection (QUAD) method and the satellite pairs of these abnormal observations are determined. Then the coefficient matrix of these satellite pairs is recovered. (3) The cycle slips of these satellite pairs are calculated using the LAMBDA method and integer ambiguities of the current epoch can be determined by adding the cycle slips into the integer ambiguities of the previous epoch. The key of this method is that the abnormal observations must accurately he detected, i.e. , the satellites having cycle slips must correctly be judged. Finally, compared with other methods the feasibility of the method is verified.     

三维模型中关键特性标注和提取的实现

关键特性作为"少数重要"的产品信息,是保证产品质量和顾客满意度的重要因素,其指定和标识需要与三维模型相结合才具有更直观的意义,同时也方便对其进行更有效的管理.本文给出了关键特性的定义和分类,提出了三维模型中关键特性的标注方法,通过对UG进行二次开发,实现了关键特性的属性添加和信息提取,并通过某型导弹弹头舱段壳体零件进行了验证.