基于群体工程实验的Android应用开发课程改革

针对Android应用开发课程教学形式亟须改变,课堂组织形式、评价方式、实践教学模式亟须适应新变化的局面,提出一种教学改革方案,通过"即学即练"授课形式在实验课堂讲授Android应用开发的关键概念和方法,设置单体实验和群体实验环节综合评价学生的最终成绩.     

基于PBL和OBE融合的程序设计实验金课建设研究——以高级语言程序设计实验课程为例

分析高级语言程序设计实验课程教学目前存在的问题,提出基于PBL和OBE融合的程序设计实验金课建设方案,介绍问题导向和成果导向在教学设计中的施行方法,阐述游戏化教学模式、"预习—课堂—复习—创新—评价"五段式教学模式和学生助教全程陪伴的管理模式等具体教学改革措施的具体实践,介绍综合性立体评价方法。     

基于Windows内核的“操作系统”课程实验平台设计与建设

在"操作系统"课程的教学中,实验教学设计的好坏直接影响到学生对操作系统本身的理解与吸收。其中实验平台的设计与建设至关重要。本文提出了一套基于Windows内核的"操作系统"课程实验平台,它架构在大众最为熟悉的Windows操作系统基础上,可供学生对操作系统内核进行扩展、修改、并获得客观评价。此举极大的降低了学习门槛,提高了学生的学习兴趣和主动性。在实际应用中取得了较好的效果。     

强化过程导控和反馈的程序设计基础与实验在线教学实践

为了提高程序设计基础与实验课程的学习成效,提出"MOOC+SPOC+直播互动+PTA+慕课堂"线上混合式教学模式,阐述如何开展案例引导和渐进训练的教学设计、多平台分类资源建设和多维度考核评价,探讨"一引二问三评"的过程导控和反馈机制,强化学习导引、师生互动交流和及时评价督促,介绍教学实践过程并说明初步效果.     

面向物联网的“嵌入式系统”实验改革探索

"嵌入式系统"是物联网专业广泛开设的一门专业核心课,沿用计算机科学与技术专业的实验内容难以满足物联网专业的需求。文章紧密结合嵌入式系统在物联网的最新应用,围绕"嵌入式系统"实验改革方案,提出3项改革:整合Android智能手机,平滑升级原有实验硬件;遵循物联网层次结构,设计分工合作和评价体系;结合"互联网+"创新创业,设计新型实验题目,以加强实验的综合性、设计性和创新性。     

基于FCE的计算机实验课程平时成绩的评定

本文根据医学院校计算机实验课程教学的特点,针对由教师对学生平时实验成绩进行主观评定所引起的系列问题,运用FEC(模糊综合评价)的方法,确立了计算机实验课程平时成绩的教学评价指标体系和模糊评价模型[1]。以医学院校的《计算机基础》实验课为例进行全面、合理的定性定量分析。结果证明该方法避免了传统实验教学考核评价过程中的片面性和形式化的缺点,实现了对其平时成绩考核评定的客观性、可行性和科学合理性。     

遥感图像融合定量评价方法及实验研究

近年来融合技术不断创新,方法多种多样,但是对融合结果缺乏统一的定量评价方法。在分析与总结当前常用的遥感图像融合结果定量评价方法的基础上,给出了亮度信息、空间细节信息和光谱信息等定量评价参数,并且通过程序实现了定量评价。以IHS和PCA两种融合方法对QuickBird图像多光谱波段和全色波段融合作为实验,进行定量评价分析,结果表明所提出的定量评价参数能够较准确地反映图像融合情况,比定性评价有效、全面,可为选择恰当的融合方法提供依据。     

立足新课程改革,创新初中化学实验课教学

伴随着新课程改革的不断推进,新课程理念逐渐渗透到课堂教学中。"一切为了学生、为了学生一切",已成为教师教学设计和教学评价的指导思想。与传统的初中化学课程相比,新课程在课程目标、内容体系、学习活动和评价方式等方面发生了很大变化。广大初中化学教师也将面临着新课程对旧理念、旧教学方式的冲击。新课程怎么教,新教材如何用,如何上好初中化学,已经成为教师所关注的,同时也是迫切需要探索的重要课题。     

以Flash为载体的实验案例设计

针对传统计算机程序设计课程的实验教学环节存在的问题,提出将Flash技术融入计算机程序设计课程的实验教学中,以"学习研究、对比分析、实现调试、总结、验收"的模式进行实验教学案例设计,并以"排序算法比较"内容为例进行案例说明。     

关于“军队院校教学工作评价管理系统”的质量控制

结合"军队院校教学工作评价管理系统"开发,从质量控制的角度出发,在指标体系构建、评价项目设置、评价数据提取、评价时限要求四个方面采取了一些控制措施,针对每一方面的特点和实际需要,就具体做法进行了介绍。     

计算机硬件课程新型实验教学体系改革初探

对目前计算机硬件实验课程教学的现状展开分析与研究,针对所存在的问题,从如何建立科学合理的实验体系、实验平台以及考核方式等方面对计算机专业硬件实验教学进行了探索。     

Assessment of gradient-based iterative learning controllers using a multivariable test facility with varying interaction

A multiple input, multiple output (MIMO) experimental test facility has been developed for the evaluation, benchmarking and comparison of iterative learning control (ILC) strategies. The system addresses the distinct lack of experimental studies for the multivariable case and enables controller performance and robustness to be rigorously investigated over a broad range of operating conditions. The electromechanical facility is multi-configurable with up to 3 inputs and permits both exogenous disturbance injection and a variable level of coupling to be applied between input and output pairs. To confirm its suitability for evaluation and comparison of ILC, theoretical results are derived for two popular forms of gradient-type ILC algorithm, linking interaction with fundamental performance limitations. The test facility is then used to establish how well theoretical predictions match experimental results. The analysis is then extended to provide solutions to address this performance degradation, and these are again confirmed using the test facility.     

Efficient mapping and implementation of matrix algorithms on a hypercube

It is well known that parallelism by itself does not lead to higher speeds. This study shows how to put parallelism to best use, that is, how to find an optimal balance between communication and computation overheads for two parallel matrix algorithms. The problem graph for matrix algorithms analyzed in this paper is a two-dimensional grid (toroidal mesh) which is mapped onto a hypercube topology. To perform matrix operations on a hypercube, a matrix is partitioned into several submatrices which are stored and manipulated in the nodes. We seek to find an optimal matrix partitioning to minimize overall execution time. The NCUBE parallel machine is used for experimental performance evaluation. For matrix multiplication, we derive an exact analytical model to determine the optimal partitioning size and perform its experimental verification on the NCUBE parallel processor. For a parallel Gaussian elimination known as the balanced algorithm, we present performance measurements and an approximate analytical model for performance evaluation. Our analyses show that the optimal submatrix size is typically small and does not depend on the original matrix size.     

基于实验教学的高校《办公自动化》课程建设研究

在信息时代,如何提升大学生的信息驾驭能力一直是各类高校不断探索的方向,文章对基于实验教学的课程教学方法、师资建设、课程考核等做了介绍,提出《办公自动化》课程建设一些设想和初步的方案。     

通用标准CC的研究与实现

随着计算机技术及Internet的不断发展，如何保证信息系统安全成为一个重要课题．针对这个问题，设计实现了基于信息技术安全性评估准则(通用标准)的系统评估方法和软件．首先在分析通用标准结构的基础上，设计了安全功能和保证要求的体系结构；接着针对保护轮廓和安全目标这两个通用标准的核心文档进行了分析与设计，并指出了文档结构中的内在联系；然后提出了针对标准结构和其内在关联应完成的评估要素；最后给出了评估系统的设计和实现．通过实际保护轮廓和软件产品的安全目标实例分析表明本文所提出的评估方法和系统能够指导信息系统的评估和实践．     

An empirical evaluation of XQuery processors

This paper presents an extensive and detailed experimental evaluation of XQuery processors. The study consists of running five publicly available XQuery benchmarks—the Michigan benchmark (MBench), XBench, XMach-1, XMark and X007—on six XQuery processors, three stand-alone (file-based) XQuery processors (Galax, Qizx/Open, Saxon-B) and three XML/XQuery database systems (BerkeleyDB/XML, MonetDB/XQuery, X-Hive/DB). Next to assessing and comparing the functionality, performance and scalability for the various systems, the major focus of this work is to report in detail about the experiences made while performing such an exhaustive study, to discuss all the problems that we encountered and how we solved them, and hence to hopefully provide some guidelines (or even a recipe) for performing reproducible large-scale experimental research and system evaluation.     

Designing and evaluating business process models: an experimental approach

This paper presents an experimental approach to compare the performance of alternative business process designs. We use an example case of an electronic group buying setting to demonstrate how our approach can be applied in practice. More specifically, we chose a standard business process, the sales process as implemented on a group buying platform, to illustrate how a business process may be redesigned in order to better meet the needs of customers. For that purpose, we introduce a social technology feature to support cooperation among buyers in the sales process and then analyze the performance impact of the proposed business process redesign. We combine principles from design science and experimental economics to aid the business redesign process. To allow for an experimental evaluation in a controlled laboratory setting, we implement a simplified prototype model and an experimental electronic group-buying platform in the laboratory. We then employ the methods of experimental economics to generate process performance data and evaluate the effectiveness of the new process model design in the lab that can provide valuable insights to platform managers for redesigning the real-world system. We posit that combining the principles of design science and experimental economics offers researchers a useful and cost-effective method to systematically evaluate theoretical predictions about process model design.     

Quality metric for approximating subjective evaluation of 3-D objects

Many factors, such as the number of vertices and the resolution of texture, can affect the display quality of three-dimensional (3-D) objects. When the resources of a graphics system are not sufficient to render the ideal image, degradation is inevitable. It is, therefore, important to study how individual factors will affect the overall quality, and how the degradation can be controlled given limited resources. In this paper, the essential factors determining the display quality are reviewed. We then integrate two important ones, resolution of texture and resolution of wireframe, and use them in our model as a perceptual metric. We assess this metric using statistical data collected from a 3-D quality evaluation experiment. The statistical model and the methodology to assess the display quality metric are discussed. A preliminary study of the reliability of the estimates is also described. The contribution of this paper lies in: 1) determining the relative importance of wireframe versus texture resolution in perceptual quality evaluation and 2) proposing an experimental strategy for verifying and fitting a quantitative model that estimates 3-D perceptual quality. The proposed quantitative method is found to fit closely to subjective ratings by human observers based on preliminary experimental results.     

基于交互信息的投机并行化方法*

针对投机并行化中如何权衡策略并确定合适的执行模型来获取理想性能的问题,提出了一种基于交互信息的投机并行化方法,利用交互信息来确定投机并行化的执行模型,建立相关评价模型,并着重从线程抽取创建角度提出了相应的策略及对应的性能评价。通过实验表明,基于交互信息进行“按需”并行化,可以达到所需的性能要求。     

A hierarchy-based similarity measure for intuitionistic fuzzy sets

Due to some unreasonable results obtained from most current similarity measures for intuitionistic fuzzy sets (IFSs), we introduce a necessary condition to obtain a stronger definition of similarity measures for IFSs, and present a new similarity measure derived from a general idea of similarity measures for concepts on a lattice. In experiments, we focus our attention on two basic directions of performance evaluation: one is how much the proposed measure is reasonable and the other is how much accuracy the measure produces when it is applied to classification problems. The experimental results show that the proposed measure is reasonable and achieves a satisfactory performance on classification problems.