浅谈汽车炸弹的特点和防范手段

简述了汽车炸弹的特点及其实施战术，提出防范汽车炸弹的几种方法。一是研究爆炸物探测原理，配备先进的爆炸物探测装备；二是部署拦截装置；三是通过各种工程措施加强对重要目标的防护。     

光学仪器故障诊断系统的数学模型

在本文提出的一种光学仪器故障诊断系统数学模型中,将一个故障及其原因,分别用m、n维矢量表示。借助光学调整理论,导出相应的判断方程,在对原因进行适当筛选后,应用拉格朗日乘子法,求出它们的解。这个模型可以用于一类新型智能化的检测设备中,也可以用于编制通用的故障分析程序。     

The effect of nonnormality on variables sampling plans

Acceptance sampling plans based on variables have been in use for many years. Recently, there has been a renewal of interest in these plans, because of the relative efficiencies that they offer with respect to attributes sampling regarding sample size. Furthermore, in situations where acceptable quality levels are very small, and a high level of protection is desired, variables sampling is often much more efficient than attributes sampling. An important disadvantage of variables sampling is that the distribution of the parameter being inspected must be known. Most standard variables sampling plans assume that the distribution of this parameter is normal. This article examines the effect of the normality assumption in variables sampling. Methods to detect departures from normality are reviewed.     

Aggregating assignment constraints

This article shows how simple systems of linear equations with {0,1} variables can be aggregated into a single linear equation whose {0,1} solutions are identical to the solutions of the original system. Structures of the original systems are exploited to keep the aggregator's integer coefficients from becoming unnecessarily large. The results have potential application in integer programming and information theory, especially for problems that contain assignment-type constraints along with other constraints. Several unresolved questions of a number-theoretic nature are mentioned at the conclusion of the article.