浅析中职院校校园网故障的诊断和排除

随着计算机技术、网络信息技术的快速发展,教育信息化、校园网络化已成为教育发展的,必然趋势.作为我国教育的重要部分的中职教育,其校园网络化程度也在不断的提高,并深入到其各个领域,它为中职院校的老师和学生带来了极大的便利,但与此同时,也常因为自然或人为原因出现故障,影响网络的使用.因此,对校园网故障的诊断与排除、维护网络的正常运行变得越来越重要.     

改变电源监控方式,实现动力设备及环境集中监控

本文介绍了两种电源监控方式的原理、组网方式及特点,并着重介绍了中兴动力设备及环境集中监控方式的组网及网管原理,突出动力设备及环境集中监控方式比以前监控方式的先进性.     

It’s easy to produce chartjunk using MicrosoftExcel 2007 but hard to make good graphs

The purpose of default settings in a graphic tool is to make it easy to produce good graphics that accord with the principles of statistical graphics, e.g., [Tufte, E.R., 1990. Envisioning Information. Graphics Press, Cheshire, Conn, Tufte, E.R., 1997. Visual Explanations: Images and Quantities, Evidence and Narrative, 2nd Edition. Graphics Press, Cheshire, Conn, Cleveland, W.S., 1993. Visualizing Data. Hobart Press, N.J Cleveland, W.S., 1994. The Elements of Graphing Data, rev. edition. AT&T Bell Laboratories, Murray Hill, N.J, Wainer, H., 1997. Visual revelations: Graphical tales of fate and deception from Napoleon to Ross Perot. Copernicus, New York, Spence, R., 2001. Information Visualization. ACM Press & AddisonWesley, New York, and Few, S., 2004. Show Me the Numbers. Analytic Press, Hillsdale, NJ]. If the defaults do not embody these principles, then the only way to produce good graphics is to be sufficiently familiar with the principles of statistical graphics. This paper shows that Excel graphics defaults do not embody the appropriate principles. Users who want to use Excel are advised to know the principles of good graphics well enough so that they can choose the appropriate options to override the defaults. Microsoft^® should overhaul the Excel graphics engine so that its defaults embody the principles of statistical graphics and make it easy for non-experts to produce good graphs.     

一种高性价比CAN总线适配卡的设计与实现

针对传统CAN总线设备存在的系统规模大、功耗高、成本高等问题,提出并实现了一种高性价比CAN适配卡系统。介绍了系统总体结构,阐述了软硬件组成及其功能,并给出硬件具体设计方案及驱动程序的实现方法。经实践证明,该适配卡系统完全可满足实际需要且结构简单、能耗低、稳定性能好。     

An integrated multi-objective immune algorithm for optimizing the wire bonding process of integrated circuits

Optimization of the wire bonding process of an integrated circuit (IC) is a multi-objective optimization problem (MOOP). In this research, an integrated multi-objective immune algorithm (MOIA) that combines an artificial immune algorithm (IA) with an artificial neural network (ANN) and a generalized Pareto-based scale-independent fitness function (GPSIFF) is developed to find the optimal process parameters for the first bond of an IC wire bonding. The back-propagation ANN is used to establish the nonlinear multivariate relationships between the wire boning parameters and the multi-responses, and is applied to generate the multiple response values for each antibody generated by the IA. The GPSIFF is then used to evaluate the affinity for each antibody and to find the non-dominated solutions. The “Error Ratio” is then applied to measure the convergence of the integrated approach. The “Spread Metric” is used to measure the diversity of the proposed approach. Implementation results show that the integrated MOIA approach does generate the Pareto-optimal solutions for the decision maker, and the Pareto-optimal solutions have good convergence and diversity performance.     

一种基于C#的通用软件安装程序的架构设计与实现

可以说每个商业化软件都必须具备安装工具,使用系统软件自带的打包程序有时很难满足实际需求,为此提出了一种基于C#的通用软件安装程序的架构,给出了实现这一架构的设计方法和关键代码.通过该架构,可以非常容易地实现安装程序的功能扩展和代码维护.     

基于DSP的数字图像增强技术

本文采用目前工程中最通用的空域滤波增强法理论,通过DSP实现对数字图像的增强处理,使得图像对比度变大,目标和背景易于分离,对系统的后续操作提供工程的可实现性.     

基于LEADTOOLS的医学影像学习平台的设计与实现

LEADTOOLS是LeadTools公司开发的优秀的医学软件开发包,DICOM是医院PACS系统的标准图像格式,如何将各大医院的医学影像库中的数据作为医学院校学生的学习资料,已成为一个问题.本文基于LEADTOOLS V14.0设计实现了医学影像学习平台,大大加强了医学专业学生们的专业知识的学习.     

区域科技发展状况评价体系的软件实现

区域科技发展状况评价体系包括科技进步贡献率与科技进步速度、科技实力、科技创新能力三部分指标的计算。通过对这些指标的计算结果进行考查可以对区域的科技发展状况有一个定量的研究结果。介绍了区域科技发展状况评价体系软件系统的开发思想,以及此系统的实现方法。     

局部PCA参数约束的Hough多椭圆分层检测算法

针对随机Hough变换(RHT)在复杂图像中检测圆及椭圆时随机采样所造成的大量无效采样、无效累积以及运算时间长等问题,提出基于局部PCA感兴趣参数约束Hough多椭圆分层检测思路。首先利用边缘检测算子获得边缘信息并去除边缘交叉点,在边缘图像中标记并提取出满足一定长度的连续曲线段;其次利用线段PCA方向分析确定是否属于有效曲线段;然后,对所有感兴趣曲线段按照标记顺序依次利用椭圆拟合办法初步得到感兴趣椭圆粗略参数,根据拟合结果进而模糊约束Hough变换参数搜索范围,得到精确椭圆参数;最后利用检测结果更新图像空间,删除已经检测到的椭圆,依次进行,直到所有椭圆检测完毕。实验结果表明,该算法在计算、存储消耗上均大大减少。