基于无线传感网络的机器人竞赛裁判系统设计

设计了一种基于无线传感网络的机器人竞赛裁判系统。开发了机器人击打感应道具、全场定位系统、WiFi无线数传网络。实现了比赛中各机器人和比赛道具状态通过无线方式与裁判系统实时通信,显示比分和自动判罚的功能。能够实时感知场上所有机器人的状态、位置信息,并记录、统计、显示双方机器人的得分情况,减少人工裁判的误判、漏判现象,有效提高比赛的公平性与观赏性。     

基于移动通信行为的个体友谊圈的含权网络分析

利用移动电话记录为依据研究了个体友谊圈,利用个体跟周围的人群之间使用移动电话联系的频率来刻画个体之间友谊的深厚程度,并以这种频率的高低来定义友谊的权重。通过计算发现,对于每个个体,他们的不同权重的朋友的数目服从指数为1的幂率分布,为建立个体友谊圈的含权网络提供了一种可能的模式。     

The networked instructor: The quality of networks in different stages of professional development

This article focuses on the quality of instructional networks in different stages of professional development. Drawing theoretically from social capital theory and literature on teacher interaction, we conducted in-depth interviews with 30 instructors at the university level. Using qualitative social network analysis to capture and analyze networks, we found that the quality of instructors’ interactions varied across developmental stages (novice, experienced non-expert, and expert instructors), both in terms of interdependence and opportunities for value creation. These findings offer valuable leverage for shaping educators’ everyday professional development and increasing teaching capacity through quality interaction.     

基于神经网络的转换GPS高程的新方法

GPS高程是相对于WGS-84椭球体的大地高,因此,在工程应用中,GPS高程需要转换为正常高.转换GPS高程通常采用二次曲面拟合法(CFM)和神经网络方法(NNM),但这2种方法各有优缺点.在研究了这2种方法之后,提出了一种转换GPS高程的新方法,该方法综合了上述2种方法的优点,故取名为“CF&NNM”方法.介绍了CF&NNM方法的思路和计算过程.通过一个工程实例,列出了上述3种方法的数据处理结果,新方法效果最好.对CF&NNM方法进行了理论分析.     

School effectiveness or the horizon of the world as a laboratory

The present paper aims to provide an account of the genesis and development of a collection of scientific work that has received strong international recognition – the paradigm of school effectiveness. It shows how this theory, based on the design of measurement tools, has gradually influenced educational management and policies in promoting the effectiveness and quality of educational systems. In mobilising allies, setting up laboratories and extending its networks into major international organisations, school effectiveness research has contributed to the emergence of a new form of governance of education systems at a European level and to the promotion of new assessment methods of research in education.     

计算机网络实验教学改革

针对目前高校计算机网络实验教学的现状及计算机网络实验教学的特点,并结合学院的实际情况,从实验教学内容及形式方法等方面进行了探讨,提出了关于计算机网络实验教学的改革方法。     

一种新的计算混合先验中继承因子的方法

研究了在成败型试验中,历史样本与现场样本异总体对可靠性评定的影响,分析了使用混合先验分布的合理性,给出了用Kullback信息量确定混合先验分布中继承因子的方法,并在算例中对该方法与其他方法进行了比较,说明了该方法的有效性．     

基于校园网的入侵检测系统设计

针对校园网中存在的安全问题,提出基于校园网的入侵检测系统模型．此方法不但可以有效地减少误报,还可以对不同情况下的无关报警进行滤除和标记操作;能处理验证过程中的各种不确定因素,所得的报警参数有利于制定细致、灵活的报警处理策略,从而对报警进行更深入的自动化处理．     

地方政府跨区域合作制度实施的障碍及出路

区域一体化已经成为我国地方政府发展的现实选择,区域合作制度是区域公共利益实现的有效保障。但是,地方政府跨区域合作制度实施中存在诸多障碍,主要表现在制度实施异化和制度监督两方面;新制度经济学中的相关理论为地方政府区域合作制度实施提供了理论分析基础。要减少区域合作制度实施的障碍,需要从地方政府思想观念、组织层面、制度层面出发寻求解决路径。     

Incorporating Uncertainty Into Parallel Analysis for Choosing the Number of Factors via Bayesian Methods

A number of psychometricians have suggested that parallel analysis (PA) tends to yield more accurate results in determining the number of factors in comparison with other statistical methods. Nevertheless, all too often PA can suggest an incorrect number of factors, particularly in statistically unfavorable conditions (e.g., small sample sizes and low factor loadings). Because of this, researchers have recommended using multiple methods to make judgments about the number of factors to extract. Implicit in this recommendation is that, when the number of factors is chosen based on PA, uncertainty nevertheless exists. We propose a Bayesian parallel analysis (B-PA) method to incorporate the uncertainty with decisions about the number of factors. B-PA yields a probability distribution for the various possible numbers of factors. We implement and compare B-PA with a frequentist approach, revised parallel analysis (R-PA), in the contexts of real and simulated data. Results show that B-PA provides relevant information regarding the uncertainty in determining the number of factors, particularly under conditions with small sample sizes, low factor loadings, and less distinguishable factors. Even if the indicated number of factors with the highest probability is incorrect, B-PA can show a sizable probability of retaining the correct number of factors. Interestingly, when the mode of the distribution of the probabilities associated with different numbers of factors was treated as the number of factors to retain, B-PA was somewhat more accurate than R-PA in a majority of the conditions.