“自动控制理论”课程教学改革与实践

随着2006年教学计划的实施,“自动控制理论”课程教学中的诸多矛盾就显现的特别突出。结合教学实践,就教学手段与方法、教学内容的增加与取舍以及相关课程的同步改革、实验设置等方面,提出了改进措施,有效地提高了教学效果。     

冯契的逻辑范畴学说及其方法论意义

作为当代著名的哲学家、逻辑学家,冯契对逻辑范畴作了开拓性的探索：阐明了逻辑范畴的辩证本性和特点;考察了逻辑范畴体系与认识的辩证运动;建构了以“类”、“故”、“理”为骨架的逻辑范畴体系;探讨了以“类”、“故”、“理”为骨架的逻辑范畴体系的方法论意义。     

遗传算法在入侵检测中的应用

介绍了基于模型推理和基于模型两种入侵检测系统,提出了一种新的基于智能体技术的入侵检测系统体系结构,解决了传统集中式入侵检测系统的弊病,将任务处理和数据分布到网络各个结点上,充分利用网络资源协同完成入侵检测任务;介绍了遗传算法在该系统中的应用,因系统安全的先验知识体现在对原始数据中有价值特征属性变量集的选择上,故利用遗传算法对特征属性变量子集的选择进行优化,找到相对最优的由特征向量表示的特征属性变量集,以降低入侵检测系统的负荷。     

基于二阶段嵌套锡尔系数的人口分布的差异研究

文章首先提出了人口分布锡尔系数的概念及其一阶、二阶分解方法,接着以江苏省为研究区域,基于三大地带（苏南、苏中和苏北）、13个地级市、106个县（县级市、市辖区）三级结构的地域行政单元,分别运用一次、二次分解对全省的人口分布的区域差异进行细分测度．将江苏省人口分布的差异性分解为苏南、苏中、苏北三大地带闯的差异、三大地带内地级市之间的差异以及各地级市的内部差异三部分。其主要结论为：以地级市为计算单元的一阶段分解结果显示．苏南、苏中和苏北三个地带间人口分布的差异性是造成一阶段分解的全省人口分布差异的主要原因;以县级行政单元的二阶段分解结果表明．地级市内部的差异是江苏省人口分布的整体差异的主要构成部分;通过运用局部G统计量对各县级单元人口分布的热点探测发现,“热点”地区的人口分布差异性大．“冷点”地区的差异性小．     

加强大学生生命教育的几点思考

目前,我国高校学生出现了各种各样的问题,自杀现象非常严重,可见,此类问题的出现和生命教育的空白有直接的关系。本文从加强大学生生命教育的必要性与紧迫性,我国高校目前进行生命教育的现状,生命教育的主要内容和目前高校生命教育的对策几个方面来进行探讨。     

平面热源法瞬态测量材料热物性的研究

简述了平面热源法瞬态测量材料热物理性质的基本原理,分析了快速法、脉冲法测量存在的问题。在此基础上,研究了材料热物性瞬态自动测量技术。测量实践表明:瞬态自动测量仪测量准确可靠,与用防护热板法测量的结果也符合得很好。     

Evaluating Probabilistic Forecasts with Bayesian Signal Detection Models

We propose the use of signal detection theory (SDT) to evaluate the performance of both probabilistic forecasting systems and individual forecasters. The main advantage of SDT is that it provides a principled way to distinguish the response from system diagnosticity, which is defined as the ability to distinguish events that occur from those that do not. There are two challenges in applying SDT to probabilistic forecasts. First, the SDT model must handle judged probabilities rather than the conventional binary decisions. Second, the model must be able to operate in the presence of sparse data generated within the context of human forecasting systems. Our approach is to specify a model of how individual forecasts are generated from underlying representations and use Bayesian inference to estimate the underlying latent parameters. Given our estimate of the underlying representations, features of the classic SDT model, such as the receiver operating characteristic (ROC) curve and the area under the ROC curve (AUC), follow immediately. We show how our approach allows ROC curves and AUCs to be applied to individuals within a group of forecasters, estimated as a function of time, and extended to measure differences in forecastability across different domains. Among the advantages of this method is that it depends only on the ordinal properties of the probabilistic forecasts. We conclude with a brief discussion of how this approach might facilitate decision making.     

Notes on authors

Social network analysis (SNA), a method which can be used to explore networks in various contexts, has received increasing attention. Drawing on the development of European smoke-free policy, this paper explores how a mixed-method approach to SNA can be utilised to investigate a complex policy network. Textual data from public documents, consultation submissions and websites were extracted, converted and analysed using plagiarism detection software and quantitative network analysis and qualitative data from public documents and 35 interviews were thematically analysed. While the quantitative analysis enabled understanding of the network’s structure and components, the qualitative analysis provided in-depth information about specific actors’ positions, relationships and interactions. The paper establishes that SNA is suited to empirically testing and analysing networks in EU policy-making. It contributes to methodological debates about the antagonism between qualitative and quantitative approaches and demonstrates that qualitative and quantitative network analysis can offer a powerful tool for policy analysis.     

A comparison of test statistics for the recovery of rapid growth‐based enumeration tests

This paper considers five test statistics for comparing the recovery of a rapid growth‐based enumeration test with respect to the compendial microbiological method using a specific nonserial dilution experiment. The finite sample distributions of these test statistics are unknown, because they are functions of correlated count data. A simulation study is conducted to investigate the type I and type II error rates. For a balanced experimental design, the likelihood ratio test and the main effects analysis of variance (ANOVA) test for microbiological methods demonstrated nominal values for the type I error rate and provided the highest power compared with a test on weighted averages and two other ANOVA tests. The likelihood ratio test is preferred because it can also be used for unbalanced designs. It is demonstrated that an increase in power can only be achieved by an increase in the spiked number of organisms used in the experiment. The power is surprisingly not affected by the number of dilutions or the number of test samples. A real case study is provided to illustrate the theory. Copyright © 2013 John Wiley & Sons, Ltd.