可变摆长的单摆运动的MATLAB仿真

文章对可变摆长的单摆运动进行了详细的理论分析和推导,并根据不同的摆长将运动分成八种情况。     

冲蚀磨损与冲蚀、空蚀交互磨损的对比研究

基于计算流体力学(computational fluid dynamics,CFD)方法,数值对比研究了在模拟水轮机工况中不同转速时,冲蚀与冲蚀、空蚀交互作用时,转盘表面的流场(压力场、流体浓度分布),然后在转盘式磨损装置上,进行了汽液固三相冲蚀与空蚀交互磨损试验.结果表明:对于冲蚀磨损来说,随着转速增加,压力增大,在冲蚀作用下加入空蚀磨损,压力增高,磨损加剧;而对于交互磨损来说,随着转速增加,转盘表面的空蚀磨损区域从空化孔附近开始沿着转盘旋转的反方向偏移,并且磨损程度加剧;数值计算的气泡较多且压力梯度较高区域和试验转盘磨损区域基本一致,数值计算结果和试验结果吻合得较好.     

计算机技术对多媒体互动设计过程中图像学的有效应用进行探讨

自21世纪以来,人类文明就进入了信息时代,而网络则成为信息时代的主要信息传播工具,信息技术不仅对于社会的生产活动有着相应的影响,在人们生活当中也有着比较广泛的运用,多媒体互动设计技术就是信息时代所产生的新型科技,而其中的图像学运用则是多媒体互动设计过程当中一种针对视觉元素的功能研究.本文从多媒体互动设计当中图像学的运用原则进行分析,探讨其具体的运用方法.     

基于特征的CAD／CAPP／CAM一体化系统

介绍某单位CMIS系统中工程设计分系统（EDS）系统的组成,功能,信息关系以及关键技术的实现方法：经过在支撑软件EUCLID3上的二次开发,增加特征建模模块,CAPP系统和专用NC后置处理程序,EDS成为一个基于特征的CAD／CAPP／CAM一体化系统,分系统通过Oracle数据库转换接程序,实现与其它分系统的数据通讯和共享。     

排序支持的交互数据分类算法及其应用

交互分类是解决数据复杂分类问题的主要手段之一。在现有的大多交互分类系统中,用户能准确识别数据类别,但在有些分类场景中,类别之间的顺序关系更容易被识别,为此,提出一种排序支持的交互数据分类算法。为提升交互分类精度,引入数据的顺序信息,为降低标记难度,提出候选样本推荐策略。另外,提出一种评估分类算法性能的可视化方法,用包含基本车况、交通违法记录、交通事故记录等信息的车辆数据集进行实验验证,将相关车辆分为高危车辆、中危车辆、低危车辆3类,算法的分类结果模型一致度达近98%,验证了方法的有效性。     

基于多个VLAN子网环境下互动电视平台DHCP服务的实现

简单论述了VLAN的概念和结构以及DHCP的工作原理,以舟山市互动电视平台为例,着重讨论了基于多个VLAN子网环境下互动电视平台DHCP服务的实现过程。     

刍议网络英语教学中的现存问题及对策

网络英语教学模式的出现是现代信息技术和网络技术为英语教学带来的巨大突破,尤其是远程教育模式和继续教育模式,更是为广大英语学习者提供了最佳的学习途径。在网络英语教学过程当中,最为核心的部分就是高质量教学课件的制作和视频点播中心的建设,这样两个部分直接决定了学习者的学习体验,为整个网络英语教学的实现提供了必要的支撑条件。但与此同时值得注意的是,网络英语教学发展到目前为止仍然存在着较多方面的问题,需要我们在客观认识的基础之上尽可能采取措施妥善处理之。     

Interactive quantum chemistry: a divide-and-conquer ASED-MO method

We present interactive quantum chemistry simulation at the atom superposition and electron delocalization molecular orbital (ASED-MO) level of theory. Our method is based on the divide-and-conquer (D&C) approach, which we show is accurate and efficient for this non-self-consistent semiempirical theory. The method has a linear complexity in the number of atoms, scales well with the number of cores, and has a small prefactor. The time cost is completely controllable, as all steps are performed with direct algorithms, i.e., no iterative schemes are used. We discuss the errors induced by the D&C approach, first empirically on a few examples, and then via a theoretical study of two toy models that can be analytically solved for any number of atoms. Thanks to the precision and speed of the D&C approach, we are able to demonstrate interactive quantum chemistry simulations for systems up to a few hundred atoms on a current multicore desktop computer. When drawing and editing molecular systems, interactive simulations provide immediate, intuitive feedback on chemical structures. As the number of cores on personal computers increases, and larger and larger systems can be dealt with, we believe such interactive simulations-even at lower levels of theory-should thus prove most useful to effectively understand, design and prototype molecules, devices and materials.     

现代远程教育及其关键技术

分析了发展远程教育的必要性 ,远程教育的现状及发展趋势 ,并对远程教育的关键技术及其实际系统进行讨论。     

Cartographic visualization of human trajectory data: overview and analysis

With the prevalence of mobile computing systems and location based services, large amounts of spatio-temporal data are nowadays being collected, representing the mobility of people performing various activities. However, despite the increasing interest in the exploration of these data, there are still open challenges in various application contexts, e.g. related to visualisation and human–computer interaction. In order to support the extraction of useful and relevant information from the spatio-temporal and the thematic properties associated with human trajectories, it is crucial to develop and study adequate interactive visualisation techniques. In addition to the properties of the visualisations themselves, it is important to take into consideration the types of information present within the data and, more importantly, the types of tasks that a user might need to consider in order to achieve a given goal. The understanding of these factors may, in turn, simplify the development and the assessment of a given interactive visualisation. In this paper, we present and analyse the most relevant concepts associated to these topics. In particular, our analysis addresses the main properties associated with (human) trajectory data, the main types of visualisation tasks/objectives that the users may require in order to analyse that data and the high-level classes of techniques for visualising trajectory data. In addition, this paper also presents an overview on a user study, conducted in function of this analysis, to compare two classes of visualisation techniques, namely static maps and space-time cubes, regarding their adequacy in helping users completing basic visualisation tasks.