Economic Model to Optimize Underground Utility Protection

The need for better protecting our vital infrastructure from being damaged or destroyed has received increased attention since the terrorist attacks on September 11, 2001. The tragedy of having thousands of innocent people die before the eyes of an entire nation awakened people to the reality of “managed” attacks of unthinkable magnitudes. However, tragedies of a smaller scale are a daily occurrence but accepted as “collateral damage” of work in an unsafe environment. This paper presents a cost-benefit analysis to address the question of how much money should be spent in protecting underground utilities from damage. During the study of an actual incident it was found that the total costs of such accidents are vastly underreported because only costs for emergency responses and repair are tallied up. This paper makes the case that a comprehensive approach for assessing the total economic impact of such incidents on the public, business, and government is the critical stepping stone to a mathematical optimization of expenditure for damage prevention. In addition, the reader will quickly realize that the use of the presented optimization model provides theoretical underpinning for the engineering profession in its effort to better protect our critical infrastructure from terrorist attacks.     

我国印制电路板非ODS清洗技术现状引发的思考

我国印制电路板(PCB)的非ODS清洗技术已基本解决。当今需面对的是：(1)新型元器件的组装、(2)无铅焊工艺、(5)小产量生产的清洗技术，以及(4)优化方案的思考。     

An optimization algorithm based on stochastic sensitivity analysis for noisy objective landscapes

A function minimization algorithm that updates solutions based on approximated derivative information is proposed. The algorithm generates sample points with Gaussian white noise, and approximates derivatives based on stochastic sensitivity analysis. Unlike standard trust region methods which calculate gradients with n or more sample points, where n is the number of variables, the proposed algorithm allows the number of sample points M to be less than n. Furthermore, it ignores small amounts of noise within a trust region. This paper addresses the following two questions: how does the derivative approximation become worse when the number of sample points is small? Can the algorithm find good solutions with inexact derivative information when the objective landscape is noisy? Through intensive numerical experiments using quadratic functions, the algorithm is shown to be able to approximate derivatives when M is about n/10 or more. The experiments using a formulation of the traveling salesman problem show that the algorithm can find reasonably good solutions for noisy objective landscapes with inexact derivatives information.     

POWER OPTIMIZATION OF FINITE STATE MACHINE BASED ON GENETIC ALGORITHM

Using state assignment to minimize power dissipation and area for finite state machines is computationally hard.Most of published results show that the reduction of switching activity often trades with area penalty.In this paper,a new approach is proposed.Experimental results show a significant reduction of switching activity without area penalty compared with previous publications.     

轻水堆发展规划的核燃料循环模型及优化

一、前言提高核燃料循环的经济性是增进核动力经济性极为重要的一环。国外有人提出利用动态线性规划方法,依据燃料循环中各环节内在的物理和化工过程,建立起一系列线性方     

基于小波基优化和动态比特分配的数字音频压缩编码方案

提出了一种新颖的基于自适应小波基优化选择和心理声学模型相结合的数字音频信号的透明质量编码方法，保证固定失真水平上使每帧信号的变换系数的动态分配的比特数最少，并且利用动态码本的方法来消除音频信号的统计冗余，进一步压缩比特率，对于抽样率为４４．１ｋＨｚ每样值用１６比特线性码表示的光盘单声道音乐信号可以压缩到６４ｋＢＰＳ左右。     

基于MATLAB的最大误差双圆弧逼近曲线的算法及实现

分析了不同半径的圆弧与曲率连续单调变化的曲线相切的几何关系，讨论了连续相切圆弧以允差逼近曲线的算法，理论上使得圆弧逼近的段数达到最少，并保证了光滑连接。基于Matlab采用一维搜索和优化相结合的方法进行程序的编制求解节点，算法简单，可靠，数控程序段数少，程序运行更快速高效。     

薄板坯表面变形实验分析

对连铸薄板坯的坯壳表面变形的物理模拟实验方法进行了分析,提出一种"铜裹铅双金属"新实验方案,并对坯壳表面弯曲变形进行了分析.     

改进的用于半导体器件综合系统的遗传算法

本文对应用于器件综合系统的遗传算法GENOCOP进行了改进.将实数设计空间根据参数的工艺精度影响转换为整型空间,并加入适应性复合算子利用已经得到的点来扩展和开发准可行空间.使其保持有效搜索到可行解的特性的同时,在同等的算法设置下,提高了对可行空间的覆盖率(约2.87倍),可以帮助设计人员更有效的设计可工作的器件.