ScienceWord+PagePlayer模式电子教案设计与实现——《多面体和棱柱》课题教案制作

随着教学办公自动化的发展,针对"Word+PowerPoint模式"电子教案模式中的一些不足,应用ScienceWord和PagePlayer设计制作的电子教案不仅能够方便制作出各种几何图形,还能快速制作出各种教学需要的特效文字,实现更简便高效的电子教案制作。     

论文科院校计算机类课程机房授课势在必行

针对文科院校计算机类课程操作性强的特点,对比分析了传统的多媒体+机房的授课模式与机房授课模式的优缺点,提出了计算机类课程机房授课模式的改革思路,介绍了该模式应具备的条件和具体的实施过程。     

高频电子线路教学浅析

高频电子线路是电子通信专业学生的一门重要的专业基础课,其实践性和理论性都很强。本文结合高频电子线路的教学实践,分析了高频电子线路课程在教学时的特点及困难之处,并从教学内容、方法及手段等方面提出了相应的建议。     

论研究性学习在使用精品课程建设中的效能

研究性学习是促进大学生学习能力发展的重要学习方式,建立"以学生为主体、以教师为主导"的基于探索和研究的教学模式,激发每个学生的特长和潜能,在精品课程的建设中要更好地推行研究性学习,必须有效整合各项资源,为大学生提供良好的学习环境。     

工学结合在高职计算机专业教学改革中的研究

"工学结合,校企合作"是中国这几年来职业教育发展进程中最具特色、最突出的办学经验,笔者结合自己实际教学,从教学面临的问题、解决方案、取得的成效等方面提出了一些具体的改进措施和建议,以促进和加强计算机专业学生的职业能力和职业素质的培养。     

网页制作课程教学方法探讨

在网络技术高速发展的今天,上网成了人们日常生活中不可或缺的一部分。而网络环境下网页是信息的载体,所以网页的设计与制作就成了计算机教学的一项主要内容。那么作为教师如何引导学生们对网页制作感兴趣、如何提高学生网页制作的技能就成了我们需要探讨的问题。     

旋风预热器教研平台的设计与实现

本文介绍了一种新型的旋风预热器教研平台系统,它源于水泥回转窑实际系统并同时结合教研的需求做了诸多改进。该系统由旋风预热筒设备、单片机控制系统、调速风机及电加热等执行装置及其上位机管理系统组成的一个完整系统。文章对各个组成部分的软硬件设计实现进行了阐述,对其技术特点做了详细说明,该系统涵盖知识面广,被控对象复杂,非常适合开展综合性试验及控制策略研究,经实践教研检验该教研平台较常规试验平台有更好的效果。     

Controllability of second-order infinite-dimensional systems

In the paper, the approximate controllability of linear abstract second-order infinite-dimensional dynamical systems is considered. It is proved using the frequency-domain method, that approximate controllability of second-order system can be verified by the approximate controllability conditions for the corresponding simplified first-order system. General results are then applied for approximate controllability investigation of a vibratory dynamical system modeling flexible mechanical structure. Some special cases are also considered. Moreover, remarks and comments on the relationships between different concepts of controllability are given. The paper extends earlier results on approximate controllability of second-order abstract dynamical systems.     

Sequence-based clustering for Web usage mining: A new experimental framework and ANN-enhanced K-means algorithm

We develop a general sequence-based clustering method by proposing new sequence representation schemes in association with Markov models. The resulting sequence representations allow for calculation of vector-based distances (dissimilarities) between Web user sessions and thus can be used as inputs of various clustering algorithms. We develop an evaluation framework in which the performances of the algorithms are compared in terms of whether the clusters (groups of Web users who follow the same Markov process) are correctly identified using a replicated clustering approach. A series of experiments is conducted to investigate whether clustering performance is affected by different sequence representations and different distance measures as well as by other factors such as number of actual Web user clusters, number of Web pages, similarity between clusters, minimum session length, number of user sessions, and number of clusters to form. A new, fuzzy ART-enhanced K-means algorithm is also developed and its superior performance is demonstrated.     

Signal‐to‐noise ratios for measuring saliency of features extracted by eigenvector methods from ophthalmic arterial Doppler signals

Abstract: Features are used to represent patterns with minimal loss of important information. The feature vector, which is composed of the set of all features used to describe a pattern, is a reduced‐dimensional representation of that pattern. Medical diagnostic accuracies can be improved when the pattern is simplified through representation by important features. By identifying a set of salient features, the noise in a classification model can be reduced, resulting in more accurate classification. In this study, a signal‐to‐noise ratio saliency measure was employed to determine the saliency of input features of recurrent neural networks (RNNs) used in classification of ophthalmic arterial Doppler signals. Eigenvector methods were used to extract features representing the ophthalmic arterial Doppler signals. The RNNs used in the ophthalmic arterial Doppler signal classification were trained for the signal‐to‐noise ratio screening method. The application results of the signal‐to‐noise ratio screening method to the ophthalmic arterial Doppler signals demonstrated that classification accuracies of RNNs with salient input features are higher than those of RNNs with salient and non‐salient input features.