基于NSCT的图像消噪研究

针对CT变换缺少平移不变性会在图像消噪时产生伪Gibbs现象,提出了非下采样CT变换与自适应阈值法相结合的图像消噪法。实验结果表明,采用非下采样CT变换方法能有效地消除图像噪声,保存图像的纹理细节,提升图像信噪比,消噪效果优于传统小波及CT消噪效果。     

永磁同步电机调速控制系统研究

为了改善永磁同步电机调速系统的调速性能,提高系统的鲁棒性,设计一个基于矢量控制的永磁同步电动机双闭环调速系统。运用模糊算法对PI控制器参数进行自动调节,克服了传统PI控制器鲁棒性差的缺点,使速度控制达到较为理想的性能要求。在电流环控制中,采用空间矢量脉宽调制技术替代传统的正弦脉宽调制技术,以减小奇次谐波损耗,提高电能的利用率,达到良好的电流追踪效果。通过在线测试,设计系统的各项性能指标均优于传统控制系统,能够满足现场设备的精准控制要求。     

基于协同过滤的个性化推荐选课系统研究

针对高等学校学生选课系统中存在的缺乏个性化课程推荐、选课效率不高的问题,通过对个性化推荐技术的分析研究,提出了基于项目、用户及属性值矩阵的协同过滤算法,并把该算法应用到选课系统中,数据表明,算法解决了个性化推荐技术中的冷启动问题,相关指标有明显提高,实现了课程的个性化推荐和新课程的推荐。     

聚合反应釜温度控制系统算法简介

本文总结了近20年来国内外关于聚合反应釜温控系统研究的进展情况,其中主要叙述了自适应控制、人工智能控制、模糊控制、预测控制等在聚合反应釜温控系统中的应用。     

一种新型集成智能传感器的容错控制方法

提出了一种传感器容错控制新方案。该方案融合了神经网络、模糊逻辑、自适应预测、系统结构分析与容错控制技术 ,解决了传统容借控制系统不能对复杂系统进行有效控制的问题。采用该方法对一传统容错控制系统进行了仿真 ,证明了具有比原系统更加优越的性能     

普通高校健美操课运用适应性教学法的实验研究

把适应性教学法的理论及方法应用在健美操教学中，旨在提高健美操的教学效果。通过实验表明，适应性教学法可以满足不同能力不同能力的学生的要求，有利于调动学生学习兴趣，加快技术动作掌握。     

STEM教育的本土化困境及其适应性超越

针对STEM教育游离于中国教育实践土壤之外的现实,"STEM教育本土化"的呼吁由来已久.当前STEM教育在本土的三维演化以异域理念奠定本土认知基础,以课程实践探索本土方法策略,以体系建设深化本土路径架构.中国STEM教育发展至今,面临观念偏离使本土化逻辑自茧、理论缺位使本土化创新受阻、实践无序使本土化探索失范的三重困境...     

An approach to web-based Personal Health Records filtering using fuzzy prototypes and data quality criteria

Nowadays, new ways of managing and accessing to health-care information are continuously appearing. Web-based Personal Health Records (web PHRs) have the potential to make data about health-care available to clinicians, researchers and students in different medical contexts and applications. Therefore, the amount of web PHRs accessible through Internet has grown enormously and as a result health-care professionals are currently burdened with more and more data. It’s probable that these data, unfortunately, have not always the adequate levels of quality, making that their work cannot always be as successful as expected. As a way of alleviating this fact, the present work is focused on improving the document filtering results in the context of web PHRs management. To achieve this goal, a new kind of document filtering model is proposed. This model is based on fuzzy prototypes which are defined by means of conceptual prototypes. These prototypes are obtained by using a data quality analysis of documents. This analysis guarantees that filtered information will be relevant enough for the information user. The complete model provides an efficient strategy of document filtering that can be very useful when it is necessary to deal with a constant flow of new information.     

A collaborative filtering similarity measure based on singularities

Recommender systems play an important role in reducing the negative impact of information overload on those websites where users have the possibility of voting for their preferences on items. The most normal technique for dealing with the recommendation mechanism is to use collaborative filtering, in which it is essential to discover the most similar users to whom you desire to make recommendations. The hypothesis of this paper is that the results obtained by applying traditional similarities measures can be improved by taking contextual information, drawn from the entire body of users, and using it to calculate the singularity which exists, for each item, in the votes cast by each pair of users that you wish to compare. As such, the greater the measure of singularity result between the votes cast by two given users, the greater the impact this will have on the similarity. The results, tested on the Movielens, Netflix and FilmAffinity databases, corroborate the excellent behaviour of the singularity measure proposed.