Functionality Evaluation Model for Machine Translation Systems

The principal concepts, models and methods for software quality evaluation are presented. Since the definitions of functionality in the existing standards for software quality evaluation are inconsistent, this concept here is defined as a particular case of the concept of quality in qualimetry as applied to software quality evaluation. A generalized model for software functionality evaluation is proposed. A functionality evaluation model for machine translation systems that was developed based on it and can be a prototype for more detailed models is given. Some ways to use such models to evaluate the functionality of machine translation systems numerically are considered.     

Educational software for electrical engineering: A methodology and some results

In this paper, problems related to the use of the microcomputer as a teaching tool in engineering education are discussed. The objectives and methodological principles of educational software are defined, stressing the need to improve the quality of engineering education. The microcomputer is considered as an engineering tool in the decision-making process, offering possibilities for further deeper analysis of physical phenomena in electrical devices. Examples of applications of the methodological principles developed for the elaboration of educational software packages for electrical engineering are given.     

面向微波组件工艺失效分析的大数据建模技术

快速、准确定位微波组件生产过程中的质量问题,对提升微波组件的质量可靠性、工艺稳定性以及生产效率具有重要作用。在微波组件工艺质量问题传统人工分析逻辑基础上,通过对当前微波组件生产流程各环节的数据特点的挖掘分析,提出了生产大数据与失效分析知识融合的建模方法,并应用于工艺问题的辅助排故中。首先,基于微波组件工艺质量数据特征进行数据清洗得到故障关键数据,作为大数据挖掘建模的基础数据;其次,从微波组件质量特征相似性的角度对不同微波组件进行聚类处理,提升稀疏数据的信息密度;最后,采用大数据挖掘算法融合失效分析先验知识建立用于辅助排故的知识模型,并基于样本数据对提出的建模方法进行了实例分析和模型的软件化部署,验证了在微波组件工艺质量问题分析应用中的可行性。     

用化学计量学方法评定贮存血液细胞品质因素

用自动血液分析仪测定贮存全血的10个化验参数测定,按照主成分分析方法量化处理、计算化验数据,在主成分分析基础上,提出"细胞品质因素"作为综合评定指标的概念.用坐标平面图对贮存全血质量作出准确量化评定.结果说明"细胞品质因素"能较理想的评价贮存血液的质量,表明化学计量学方法在医学化验数据中可发现更多、更有价值的化学规律和生物信息.     

高校计算机实验教学的质量提高

针时当前计算机实验教学中存在的问题，从教育创新、转变教育观念、改革实验教材、优化实验教学内容、在实验教学中实施素质教育等方面，探讨了实验教学改革的思路。     

基于SOA架构的学生测评系统研究

本文追溯教育评价发展历程,分析教育评价同现代计算机技术和网络技术相结合的过程,通过研究基于SOA架构的学生综合能力测评系统,提出利用SOA等先进软件思想实现对教育考核软件的再次梳理和升级的思路。     

基于支持向量机的高校教学水平评估模型的研究

教师教学水平的评估是教育评估的核心问题之一。本研究将支持向量机多分类方法引入教学水平评估任务之中,利用支持向量机将线性模糊不可分的样本映射到高维空间使之具有线性可分特性,从本质上避开了从归纳到演绎的传统过程,简化了非线性问题的分类过程;结构风险最小化理论保证分割的全局最优化,降低期望风险。该方法充分利用支持向量机的小样本学习的高效性,实现了优秀的学习效果,减少了传统评价方法中的分歧误差和主观性因素的影响,更加符合宏观取向的评价结论。该研究成果可与信息熵、模糊数学等研究方法相结合,进一步增强数据拟合的精度,该方法对改进教师的教学水平、促进教学质量的提高具有一定的参考意义。     

Estimate design intent: a multiple genetic programming and multivariate analysis based approach

Understanding design intent of designers is important for managing design quality, achieving coherent integration of design solutions, and transferring design knowledge. This paper focuses on automatically estimating design intent, represented as a summation of weighted functions, based on the operational and product-specific information monitored through design processes. This estimated design intent provides a basis for us to identify the evaluation tendency of designers' ways of doing design. To represent and estimate the design intent, we introduced a staged design evaluation model as a general yet powerful model of design decision-making process, and developed a methodology for estimation of design intent (MEDI) as a reasoning method. MEDI is composed of two basic algorithms. One is our newly introduced multiple genetic programming (MGP) and the other is statistical multivariate analysis including principal component analysis and multivariate regression. The characteristics of MEDI are; (1) principal component analysis provides approximate evaluation of how much preferable a specific product model is, assuming the final product model (or design) is the most preferable one; (2) MGP enables us to simultaneously estimate both structure of target performance functions and the approximate values of their weights for a domain of design problems; and (3) multivariate regression readjusts the approximate weights obtained by MGP into more accurate ones for specific design problems within the domain. Our framework and methods have been successfully tested in a case study of designing a double-reduction gear system.     

主成分分析法在网络教学评价系统中的应用

近年来基于网络形式的教学在国内高校中得到迅速的发展，因此对网络教学的评价需求也越来越迫切。如何在网络教学形式下自动进行教学评价，则成为一个全新的课题。从聊城大学网络教学实践出发，给出了利用“主成分分析法”对网络教学进行综合评价的一种思路。     

基于AHP的高职院校教学质量评价指标的分析与研究

教学质量评价是教学质量管理的重要手段,构建科学的、系统的、行之有效的教学质量评价体系和运行机制,对加强和提高教学质量具有重要意义。而教学质量评价指标的设定是教学评价中最基本和最重要的一个环节,本文利用AHP（层次分析法）对现行指标进行分析和改进,最终设定出一个比较公正、合理的教学评价指标,为教学质量评价体系提供了一个评教标准,并为教师提高教学质量水平提供了一定的依据。     

案例式教学在CorelDraw课程中的应用与实践

在CorelDraw平面设计教学过程中,结合素质教育的培养目标与工科专业所具有的特点,采用案例教学法,通过设计具体实例,由浅入深、循序渐进地解决各知识点在传统教学中书本化、程式化的问题,从而完善教育教学内容,拓展教育教学方法、丰富教育教学手段,就培养学生的创新能力及提高教师的自身素质,开辟一条新的途径.     

个人信息安全素养评测手机软件开发

有效的信息安全意识教育方法能够帮助终端用户学习信息安全知识,提高信息安全意识,来应对各类信息安全问题。目前已有的信息安全意识教育方法在实施过程中,面临如何了解学习者的学习需求以及评估教育效果等问题。本文为此设计实现了Android系统上的个人信息安全素养评测手机软件。该软件将信息安全相关问题以问答的形式呈现给用户,检测并记录用户的知识水平和基本技能水平,并能够根据用户的评估结果,确认用户信息安全素养水平的高低,并向用户推荐适合自身安全知识掌握程度的学习内容。该软件采用移动客户端和服务器端架构,借助移动平台的优势,方便用户进行自测和学习。该软件能够为信息安全意识教育的途径普及和手段创新提供借鉴。     

高职计算机教育评价体系与方法探究

一个科学合理的教育评价体系是学生能够端正学习态度、改善学习方法、提高教育质量的基础,所以我们需要不断的完善、改进高职计算机教育评价体系,使之能够更好的服务于同学、老师,通过在现实高职院校的教学过程当中,挖掘存在的问题,结合高职院校本身具有的特点,积极解决,促进学生能够达到自主学习的目的,使老师能够不断的创新教学方法,提高教学质量,加强学生能力。     

Quality prediction and analysis for large-scale processes based on multi-level principal component modeling strategy

This paper proposed a multi-level principal component regression (PCR) modeling strategy for quality prediction and analysis of large-scale processes. Based on decomposition of the large data matrix, the first level PCR model divides the process into different sub-blocks through uncorrelated principal component directions, with a related index defined for determination of variables in each sub-block. In the second level, a PCR model is developed for local quality prediction in each sub-block. Subsequently, the third level PCR model is constructed to combine the local prediction results in different sub-blocks. For process analysis, a sub-block contribution index is defined to identify the critical-to-quality sub-blocks, based on which an inside sub-block contribution index is further defined for determination of the key variables in each sub-block. As a result, correlations between process variables and quality variables can be successfully constructed. A case study on Tennessee Eastman (TE) benchmark process is provided for performance evaluation.     

基于网络教学质量综合评价系统的设计与实现

现在的教学质量评价系统中尚存在着一些问题,其中主要的问题是评价材料一般都由评价人员将评价表分发给评价人,然后收回评价表进行统计,评价结果基本上以书面通知发给系部,所以评价工作量大,费用高,耗时长、浪费人力资源,导致评价效率低。另外评价工作难以经常化,评价指标权重的确定缺乏科学性等等,研究的目的,就是要力图改变这种现状,实现教学质量评估的高效化、网络化、智能化。     

Integration of Adaptive Neuro Fuzzy Inference Systems and principal component analysis for the control of tertiary scale formation on tinplate at a hot mill

Scale is highly detrimental to surface quality for tinplate products. There are a large number of process variables at a typical hot mill and principal component analysis is a well-known technique for reducing the number of process variables. This paper estimates the principal components associated with the hot mill process variables and puts these through an Adaptive Neuro Fuzzy Inference System (ANFIS) to find those hot mill running conditions that will minimise the amount of scale observed on the bottom of the rolled strip. It was found that the variation observed in all the hot mill process variables could be captured through the use of just six principal components, and that using just three of these in an ANFIS was sufficient to identify those operating conditions leading to coils being produced with a consistently low scale count. Specifically, it was found that the best operating conditions for the hot mill were when the first component was lower than −0.098 the second lower than 0.8058 and the third higher than −0.482. These ranges in turn corresponded to certain hot mill temperatures that depended to some extent on the base chemistry of the incoming slab.     

高校动漫专业教学改革的探讨研究

在当前高校动漫教育蓬勃发展的态势中,如何把握好动漫的教学与实践,使动漫教育成为动漫产业链上坚固的一环,是高校动漫专业面临的最根本出路。本文通过对动画教学过程中的高校动画教育特点和问题的分析,从教育模式、课程设置角度,对高校动漫专业教学提出几点教改方案。     

基于Sanger算法的小波网络结构优化方法

为了解决离散小波神经网络(DWNN)节点过多、鲁棒性差的问题，基于主成份分析(PCA)的思想提出了一种规模小、抗干性强的广义小波神经网络(EWNN)，并利用Sanger算法对其结构进行了优化。该算法在引出了消冗变换后，可提取出多个主成份。仿真结果表明了EWNN的非线性逼近能力及稳定性都明显优于DWNN。     

Application of entropy measurement technique in grey based Taguchi method for solution of correlated multiple response optimization problems: A case study in welding

In the present work, an attempt has been made to apply an efficient technique, in order to solve correlated multiple response optimization problems, in the field of submerged arc welding. The traditional grey based Taguchi approach has been extended to tackle correlated multi-objective optimization problems. The Taguchi optimization technique is based on the assumption that the quality indices (i.e. responses) are independent or uncorrelated. But, in practical cases, the assumption may not be valid always. However, the common trend in the solution of multi-objective optimization problems is to initially convert these multi-objectives into an equivalent single objective function. While deriving this equivalent objective function, different priority weights are assigned to different responses, according to their relative importance. But, there is no specific guideline for assigning these response weights. In this context, the present study aims to apply the entropy measurement technique in order to calculate the relative response weights from the analysis of entropy of the entire process. Principal Component Analysis (PCA) has been adopted to eliminate correlation that exists among the responses and to convert correlated responses into uncorrelated and independent quality indices, called principal components. These have been accumulated to calculate the overall grey relational grade, using the theory of grey relational analysis. Finally, the grey based Taguchi method has been used to derive an optimal process environment capable of producing the desired weld quality. The previously mentioned method has been applied to optimize bead geometry parameters of submerged arc bead-on-plate weldment. The paper highlights a detailed methodology of the proposed technique and its effectiveness.     

Web挖掘在虚拟教育中的应用

教育环境有两种形式,分别是传统和虚拟教育环境。在这两种环境中,重要的问题是习惯分析和评价。介绍了在传统的教育体系中,习惯分析通过观察技术来实现;而在虚拟教育环境的分析中,学生的态度和习惯则是一个非常重要的问题。讨论了Web挖掘应用是如何应用在虚拟教育环境中的,根据描述性研究方法形成的规则,给出了在教育环境中使用Web挖掘,可以从毫无相关性的习惯和网络环境中提取有意义的信息,从而克服这个问题。