A level set method based on the Bayesian risk for medical image segmentation

This paper proposes an alternative criterion derived from the Bayesian risk classification error for image segmentation. The proposed model introduces a region-based force determined through the difference of the posterior image densities for the different classes, a term based on the prior probability derived from Kullback-Leibler information number, and a regularity term adopted to avoid the generation of excessively irregular and small segmented regions. Compared with other level set methods, the proposed approach relies on the optimum decision of pixel classification and the estimates of prior probabilities; thus the approach has more reliability in theory and practice. Experiments show that the proposed approach is able to extract the complicated shapes of targets and robust for various types of medical images. Moreover, the algorithm can be easily extendable for multiphase segmentation.     

基于远程冰蓄冷空调机房的自动控制设计

为了解决"电力告急,电量有余的状态",争取将用电低谷时期电力填补到高峰时的电力不足。而"移峰填谷"式的蓄冰空调逐渐成为中央空调发展的一个趋势。实现冰蓄冷机房的控制是用WebAccess组态软件完成设定、监控和故障报警等,对冰蓄冷机房进行各种水温、水压、流量和空气温度、湿度、风量、压力、风阀开度等参数进行监控,并且通过通讯实现预测空调负荷从而确定系统工作模式、改变控制策略,这样可提高冰蓄冷空调的运行水平。     

浅议以太网基本性能测试指标及相应的测试方法

本文就目前国际上对以太网基本性能测量的指标进行整理和分析并给出了相应的测试方法。     

基于TD SCDMA的虚拟外场测试平台

目前在TD外场测试过程中,存在着设备操作不便、无线环境复杂、测试情景不能再现等诸多难题。为解决这些问题,通过对2G及3G相关理论的研究,给出适合TD网络的业务模型和传输模型。在此基础上提出一种利用软硬件仿真TD网络外场测试环境,在实验室环境中构建虚拟外场测试平台的方法。对该平台的结构和工作原理进行分析论述,利用该平台可使大部分外场测试能方便地在实验室中进行,提高了测试效率。     

弹性资源下的测试系统资源配置方法

提出采用赋时有色Petri网对测试流程进行建模,用来优化自动测试系统的资源配置。给出了测试流程TCP-net模型的构建步骤;基于模型,给出了寻求测试流程最短测试用时的方法;给出了弹性资源的定义以及在弹性资源条件下最小资源集求解算法和资源分配策略;通过给出一个应用实例,证明了上述方法的有效性和实用性。     

Confidence intervals for dependent data: Equating non-overlap with statistical significance

We revisit the problem of determining confidence interval widths for the comparison of means. For the independent two-sample (two-sided) case, Goldstein and Healy (1995) draw attention to the fact that comparisons based on 95% error bars are not very effective in assessing the statistical significance of the difference in means and derive the correct confidence interval for such a comparison. We provide an extension to Goldstein and Healy (1995) to account for the correlation structure and unequal variances. We use the results to develop rules of thumb for evaluating differences, in an exploratory manner, like Moses (1987) and Cumming (2009), from the independent case. We illustrate the method for the simple comparison of two means in a real data set, provide R code that may be easily implemented in practice, and discuss the extension of the method to other applied problems.     

微机原理与应用课程改革与实践

为适应新技术对信息化人才培养要求,在分析微机原理与应用课程特点及教学状况的基础上,从教学目标、教学内容入手,阐述微机原理与应用课程改革思路和方法,从适应科技发展的角度,提出调整课程教学内容,构建微机原理与应用多媒体及网络教学平台系统,改革课程考试方式。     

一种可行的可用性测试过程

文章综述用户模型法、用户调查法、专家评审法和观察法4类可用性测试方法,根据可用性测试的经验,总结出一套合理实用的可用性测试过程,使得可用性测试的效率高、代价低,尽可能发现更多的可用性问题;提出在程序设计类课程的教学中,应适当向学生介绍可用性测试的方法和过程,以培养学生对自己开发的软件系统进行可用性测试的能力。     

Models to predict the deformation modulus and the coefficient of subgrade reaction for earth filling structures

Determination of deformation modulus and coefficient of subgrade reaction of soils have major importance, whether the projects are in design, and construction or compaction assessment stage of earth filling structures. Plate load test is one of the frequently used method to directly determine the parameters but the method is both costly and time consuming. For this reason, this paper is concerned with the applications of artificial neural networks (ANN) and simple-multiple regression analysis to predict deformation modulus and coefficient of subgrade reaction of compacted soils from compaction parameters (such as maximum dry density (MDD) and optimum moisture content (OMC), field dry density (FDD), and field moisture content (FMC)). Regression analysis and artificial neural network estimation indicated that there are acceptable correlations between deformation modulus and coefficient of subgrade reaction and these parameters. Artificial neural networks model exhibits higher performance than traditional statistical model for predicting deformation modulus and coefficient of subgrade reaction.     

基于Python的实时嵌入式软件测试脚本

基于Python语言设计一种实时测试脚本,开发扩展模块,实现测试脚本与嵌入式软件仿真测试环境（ESSTE）的接口。该测试脚本使用简便,实时性高、描述能力强、具有良好的可复用性,目前已成功应用到ESSTE中。对多个实时嵌入式软件进行测试,结果验证了该测试脚本的正确性和实时性。