What stimulates teachers to integrate ICT in their pedagogical practices? The use of digital learning materials in education

The question ‘What stimulates teachers to integrate Information and Communication Technologies (ICTs) in their pedagogical practices?’ was addressed in the context of teachers’ usage of digital learning materials (DLMs). We adopted Fishbein’s Integrative Model of Behavior Prediction (IMBP), to investigate the various relationships between distal and proximal variables and intention. Mediation analysis revealed that the proximal variables attitude, subjective norm, and self-efficacy towards DLMs were significant predictors of teachers’ intention to use DLMs. The contribution of subjective norm, however, was modest. Attitude, subjective norm and self-efficacy mediated the effects of the following three distal variables on intention: previous use of DLMs, perceived knowledge and skills to use DLMs, and colleagues’ usage of DLMs. Persuasive communication and skills based training seem, therefore, appropriate interventions to promote a positive attitude towards DLMs and improve self-efficacy in using DLMs.     

EM算法的研究及其在文本处理中的应用

引入EM这一个经典的迭代算法,对EM算法进行具体的推导,并对算法的具体执行步聚做进一步的描述;接着对如今常用的几种文本分类的方法做了概括,重点分析Bayes分类方法,并将EM与Bayes分类方法进行结合,提高Bayes的分类精度,并在综述里对未来海量数据时代怎样来弥补EM算法的不足做简要的介绍.     

Strategies for simultaneous multiple autonomous underwater vehicle operation and control

Under sampling of the coastal oceans remains a persistent problem for standard oceano-graphic measurement practice wherein an instrument package is tethered to a research vessel. The overhead costs associated with operating a large research vessel impose a strict minimum on the cost of data collected. Owing to the overheads, significant improvements in sampling technology on the tethered platform can only produce modest gains in the cost effectiveness. In contrast, untethered vehicles if operated simultaneously have the potential to increase cost effectiveness significantly by distributing the overhead costs over several sampling platforms. Furthermore, synoptic and pseudosynoptic data can be collected with multiple autonomous underwater vehicles (AUVs), thereby providing the type of information critical to dynamic process modeling unattainable with non-synoptic data. While the goal of simultaneous multiple-vehicle operation has been espoused over the last few years, AUV technology and practice have until recently been too immature to realize that potential. Recently, Florida Atlantic University (FAU) has developed a new series of modular AUVs with the express purpose of supporting multiple sensors and multiple-vehicle operation. This series of vehicle is called the Ocean Explorer of which three have been produced so far. This paper will explore some of the associated navigation, tracking, control and deployment problems associated with multiple-vehicle operation in coastal applications. In addition, the characteristics of the component level intelligent distributed control system, integrated data logger and vehicle control system will be discussed. In particular this paper will discuss how FAU has applied the concepts of elastic constraint propagation and the symmetric fuzzy decision-making model to AUV control systems. Some results of early experiments in synoptic data collection with a conductivity, temperature and depth (CTD) sensor using multiple AUVs for the determination of horizontal structure will be described.     

关于征收集体土地补偿费标准问题的探讨

目前水利水电工程建设征收集体土地补偿标准存在差异,各地采用的方法不一致。在探讨了各种计算方法利弊的基础上,根据征地补偿费用计算中存在的问题及原因,提出了改进方法,以利于移民工作的开展和社会稳定。     

字符识别中毛刺的去除方法

在字符识别中提取字符特征前经常需要将图像细化，但细化过程会受到照明系统和字符本身质量的影响而产生毛刺。毛刺会使特征提取发生错误，进而影响最终的字符识别结果。针对此问题提出一种基于搜索毛刺生长点的毛刺去除方法，利用此方法可以将毛刺剔除并且保证图像的其它有用信息不被破坏。     

基于多结构形态学的港口船舶检测方法

针对港口监控摄像机与船舶目标距离远,船舶目标成像小,海面噪声干扰大等特点,采用一种基于多结构元素形态学滤波的背景抑制算法.根据船舶的几何特征,采用多组结构元素的加权形态学滤波,将船舶目标与海面背景分离,然后利用基于邻域的自适应快速中值滤波滤除脉冲噪声,最后根据海面杂波在帧间运动不连续且面积较小等特点,利用连通域计算建立船舶的形态特征模型,来排除海面杂波对船舶检测的干扰.实验结果证明,该检测方法在实际港口获取的视频中,可以有效的抑制背景噪声和海面杂波,快速的检测出船舶目标.     

Immunogenic potential of glanders and melioidosis agents

Unlike the glanders agent, the superficial structures of the melioidosis agent were demonstrated to be responsible for marked was immunosuppressive activity. Some antigenic fractions suppressing the blast transformation of lymphocytes, reducing the count of T helpers and profoundly potentiating the infection in vivo were isolated from P. pseudomallei cells. The immunogenic and immunosuppressive activities of both agents' superficial structures were studied by high performance chromatography. Antigenic complexes that were able to protect immunized laboratory animals against fatal infections and to prevent bacterial carriage due to the activation of T cells and to the bacterial activity of macrophages were identified. A composition comprising several immunogens was found to provide an additive protective action against both causative agents. Therefore, the composition may be considered to be a prototype of a molecular antipseudomonadic vaccine.     

金属液中定硫传感器的稳定性

采用高温化学电池固体电解质的方法来测定碳饱和铁液中的硫含量。用ZrO2(Y2O3)作为定硫传感器的固体电解质，将Y2O3＋Y2O2S作为其辅助电极组成A型定硫传感器；或用ZrO2（Y2O3）＋Y2O2S直接作为固体电解质组成B型定硫传感器。其电池形式分别为：Mo,Cr2O3＋Cr|ZrO2(Y2O3)|Y2O3 Y2O2S|[S]Fe,Mo,Mo;Mo,Cr2O3 Cr|ZrO2(Y2O3) Y2O2S|[S]Fe,Mo。定硫实验结果表明，该定硫传感器所测电动势信号稳定，响应快，重现性好，持续时间长，准确度较高，是一种比较成功的定硫传感器。此外，还得到了在1583K下电动势与铁液中硫含量的关系。     

旋转输入型并联机器人位置逆解分析的轨迹圆法

本文分析了几种典型旋转输入型并联机器人的机构形式和特点，提出了适用于各种旋转输入型并联机器人位置逆解分析的轨迹圆法，利用该方法可方便地进行位置逆解建模与求解、逆解情况（有无解及多解性）判断等，简化了位置控制算法     

分导式多弹头的毁伤评估研究

分导式多弹头毁伤效果的评估结果,是作战运用的依据.针对目前国内缺乏用于多弹头毁伤评估的手段和方法,提出了理论计算和Monte-Carlo仿真进行多弹头导弹毁伤效果综合评估的思想.推导了导弹落点系统偏差、落点散布椭圆度和弹头威力对毁伤概率影响的数学表达式,并给出了采用Monte-Carlo方法的具体步骤;两种毁伤效果评估手段相互验证,取得了很好的效果;在各弹头落点散布参数差异较大或威力半径不尽相同的复杂情况下,采用Monte-Carlo仿真进行毁伤效果的评估是一个有效而实用的技术途径.