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2009 First International Workshop on Education Technology and Computer Science最新文献

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The Research on Experience Teaching of Marketing Based on Constructivist Learning Perspective 基于建构主义学习视角的营销体验教学研究
Bao-shan Lin
Because of much practicality of marketing education, experience teaching can effectively raise teaching efficiency. Based on the constructivist learning theory, which emphasizes active construction, situated construction and social construction of knowledge, this paper brings out the experience teaching pattern, analyses the difference between the experience teaching and the traditional teaching, and explores the specific ways of its application such as role-playing, case discussion, project assignments, entrepreneurship contest, out-of-school training and so on. Finally, this paper points out some matters which need be concerned.
由于市场营销教育具有很强的实践性,体验式教学可以有效地提高教学效率。基于强调知识的主动建构、情境建构和社会建构的建构主义学习理论,提出了体验式教学模式,分析了体验式教学与传统教学的区别,探讨了角色扮演、案例讨论、项目作业、创业竞赛、校外培训等体验式教学的具体应用方式。最后,本文指出了一些需要注意的问题。
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引用次数: 5
Application of Genetic Algorithm in Data Mining 遗传算法在数据挖掘中的应用
Tan Jun-shan, He Wei, Qing Yan
In this paper, the concept of data mining was summarized, and its significance that contributes to commerce was illustrated as well. Based on the characteristic, an important genetic algorithm which is widely used in data mining technology was proposed, whose principle and status were also expatiated. On the other hand, a best employee group of data mining algorithm based on genetic algorithm combining information management system for enterprise employees was proposed, the processes and steps which may solve problem used genetic algorithm as a example. Furthermore, the problems and challenges that data mining technology has to be faced with were discussed.
本文概述了数据挖掘的概念,并阐述了数据挖掘对商业的重要意义。基于遗传算法的特点,提出了一种广泛应用于数据挖掘技术的重要遗传算法,并阐述了其原理和现状。另一方面,结合企业员工信息管理系统,提出了一种基于遗传算法的最佳员工群体数据挖掘算法,并以遗传算法为例给出了解决问题的过程和步骤。在此基础上,讨论了数据挖掘技术面临的问题和挑战。
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引用次数: 20
Application of PCA in Assessing Influential Factors and Characteristics of Modern Distance Education in Rural Area 主成分分析在农村现代远程教育影响因素及特征评价中的应用
Zhiming Qu, Xiaoli Wang
According to mathematical analysis, the primary components analysis (PCA) is used to analyze the effect of influential factors and characteristics on modern distance education (MDE). Based on PCA model and, the results are computed. Through case study, it can be seen that some factors and characteristics play very important role in influencing MDE and all factors and characteristics should be taken into account because the effect depends on the interaction. Through analysis and discussion, it is concluded that, under the premise of minimizing the information loss of data, the application of PCA in analyzing effect on MDE in rural area is approved to be practicable.
通过数学分析,运用主成分分析(PCA)分析了影响因素和特征对现代远程教育的影响。基于主成分分析模型,对结果进行了计算。通过案例研究可以看出,一些因素和特征在影响MDE中起着非常重要的作用,因为效果取决于相互作用,所以应该考虑到所有因素和特征。通过分析和讨论,得出结论,在数据信息损失最小化的前提下,应用主成分分析法分析农村MDE的效果是可行的。
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引用次数: 0
Assessment Strategies for Classroom Teaching in Informationized Environment 信息化环境下课堂教学评价策略研究
Wu Junqi, Yong Zongkai, Hu Zhengbing, Liu Yumei
Assessment is an essential part of classroom teaching, and it plays an important role in teaching. But the traditional assessment is mostly charged by teachers, and there are many shortages. With the development of information technology, it is more efficient to improve teaching by using network technology, especially to assess classroom teaching. This article firstly introduces the assessment of classroom teaching and the situations of traditional assessment and then puts forward several new and practical assessment strategies in the information zed environment, finally it gives a summary of characteristics of assessment strategies of online instructional systems.
评价是课堂教学的重要组成部分,在教学中起着重要的作用。但传统的评估主要由教师负责,存在许多不足。随着信息技术的发展,利用网络技术提高教学效率,尤其是对课堂教学进行评估。本文首先介绍了课堂教学评估和传统评估的情况,然后提出了信息化环境下几种新的实用的评估策略,最后总结了在线教学系统评估策略的特点。
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引用次数: 1
The Comparison of Landscape Metrics Derived from Remote Sensing Data before and after Wenchuan Earthquake 汶川地震前后遥感景观指标的对比研究
Xingping Wen, Xiaofeng Yang
Satellite remote sensing images monitoring before and after the Wenchuan earthquake were becoming of great significance in the field of disaster control and mitigation. This paper compared the landscape metrics derived from remote sensing data before and after Wenchuan earthquake. Firstly, two ASTER imageries acquired before and after earthquake were geo-referenced. Then, the two imageries were segmented and converted into vector files. Finally, six landscape metrics were computed using multi-resolution segmentation vector derived from the two imageries and the computation results before and after earthquake were compared. Comparing results, it concluded that the landscape metrics before and after earthquake are significantly different. After earthquake, the fine surface structure was destroyed due to numerous landslides and rockslides, so Perimeter Area Fractal Dimension and Splitting Index which represents shape complexity decreased. Perimeter Area Fractal Dimension and Splitting Index are more effective indexes to detect the land cover change before and after earthquake.
汶川地震前后的卫星遥感影像监测在防灾减灾领域具有重要意义。本文对汶川地震前后的遥感景观指标进行了比较。首先,对地震前后获得的两幅ASTER图像进行地理参考。然后,对两幅图像进行分割并转换成矢量文件。最后,利用两幅影像的多分辨率分割向量计算了6个景观指标,并对地震前后的计算结果进行了比较。结果表明,地震前后的景观指标存在显著差异。地震发生后,由于大量的滑坡和滑坡,精细的地表结构遭到破坏,使得代表形状复杂性的周长面积分形维数和分裂指数下降。周界面积分形维数和分裂指数是检测地震前后土地覆盖变化的较有效指标。
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引用次数: 0
Application of Multi-Wavelet Transform in Multi-Focus Image Fusion 多小波变换在多焦点图像融合中的应用
Y. Sa
According to the characteristics of multi-focus images, a new image fusion algorithm based on multi-wavelet transform is proposed in this paper. Firstly, in order to obtain the sub-band multi-wavelet coefficients, two multi-focus images are transformed by multi-wavelet. Then, the regional gradients of high-frequency sub-bands at the largest scale are calculated. Finally, the high-frequency multi-wavelet coefficients and low-frequency multi-wavelet coefficients of the fusion image are determined simultaneously by the principle which is called the direction consistency of regional gradients. This algorithm can avoid the inconsistency that the fusion multi-wavelet coefficients at the same point are extracted from the source image in the horizontal direction, and from the source image in the vertical direction. Experiments illustrated here indicate that the new algorithm not only retains the details and edge characteristics of the source images, but also enhances visibility and clarity of the fusion image.
针对多聚焦图像的特点,提出了一种基于多小波变换的图像融合算法。首先,对两幅多聚焦图像进行多小波变换,得到子带多小波系数;然后,计算最大尺度下高频子带的区域梯度。最后,利用区域梯度方向一致性原理同时确定融合图像的高频多小波系数和低频多小波系数。该算法可以避免在水平方向上从源图像提取融合多小波系数与在垂直方向上从源图像提取融合多小波系数不一致的问题。实验表明,新算法不仅保留了源图像的细节和边缘特征,而且增强了融合图像的可视性和清晰度。
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引用次数: 6
AutoLEP: An Automated Learning and Examination System for Programming and its Application in Programming Course AutoLEP:程序设计自动学习考试系统及其在程序设计课程中的应用
Wang Tiantian, Su Xiaohong, Ma Peijun, W. Yuying, Wang Kuanquan
AutoLEP, an automated learning and examination environment for programming is introduced. It differs from the other existing systems mainly in that it adopts a novel marking mechanism. It combines static analysis with dynamic testing to analyze students’ programs. So it can evaluate not only the testing results but also the constructs of the programs. It can give reasonable marks to programs with syntactical or logical errors. AutoLEP has been used in the C programming course since 2004 at Harbin Institute of Technology. The advantages of using AutoLEP are that the students are assessed on what they have to do in practice, rather than on their theoretical knowledge, and that the marking load on the examiner is drastically reduced.
介绍了一种编程自动学习与考试环境AutoLEP。它与现有的其他制度的不同之处在于它采用了一种新的标记机制。它结合了静态分析和动态测试来分析学生的程序。因此,它不仅可以对测试结果进行评估,还可以对程序的结构进行评估。它可以对有语法或逻辑错误的程序给出合理的分数。自2004年起,哈尔滨工业大学的C语言编程课程就开始使用AutoLEP。使用AutoLEP的好处是,学生的评估是根据他们在实践中所做的事情,而不是他们的理论知识,而且考官的阅卷负担大大减少。
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引用次数: 13
A Data Fusion Based Intrusion Detection Model 基于数据融合的入侵检测模型
Xiaofeng Zhao, Hua Jiang, Liyan Jiao
The diversification and intelligent of hackers’ attacks makes it hard for single intrusion detection measure to attain favorable detection result. Therefore, it becomes one of the new hot spots in current research that how to combine multiple security measures to provide the network system more effective protection. A new computer information security protection system based on data fusion theory is proposed in this paper. Multiple detection measures are “fused” in this system, so that it has lower false negatives rate and false positive rate as well as better scalabilities and robust.
黑客攻击的多样化和智能化使得单一的入侵检测手段难以获得良好的检测效果。因此,如何结合多种安全措施,为网络系统提供更有效的保护,成为当前研究的新热点之一。提出了一种基于数据融合理论的计算机信息安全保护系统。该系统将多种检测手段“融合”在一起,具有较低的误报率和误报率,具有较好的可扩展性和鲁棒性。
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引用次数: 12
Research on Numerical Implementation and Errors Analysis of Cylindrical Broadband Acoustic Holography 圆柱宽带声全息的数值实现及误差分析研究
Hu Bo, Yang De-sen, Sun-quan Yu, Jiang Zhi-Chao
Broadband acoustic holography based on intensity measurement (BAHIM) is a new technique which is developed for the reconstruction of sources using near-field acoustic holography (NAH). With the sound intensity distribution on a measurement surface, the complex sound pressure phase on the measurement cylinder can be obtained and the complex sound pressure predicted. Appling this method to identify the noise source in underwater cylindrical objects, the principle of the cylindrical interior BAHIM and numerical implementation are presented. In addition, the numerical simulations have been conducted. The influences of the change of parameters are discussed in detail. The merits of the underwater cylindrical interior BAHIM in the reconstruction of sound field, identification and localization of the noise sources are shown clearly in the results.
基于强度测量的宽带声全息(BAHIM)技术是一种利用近场声全息(NAH)重建声源的新技术。利用测量表面上的声强分布,可以得到测量缸上的复声压相,并预测复声压。将该方法应用于水下圆柱形目标噪声源的识别,给出了圆柱形内BAHIM的原理和数值实现。此外,还进行了数值模拟。详细讨论了参数变化的影响。结果表明,水下圆柱形内部BAHIM在声场重建、噪声源识别和定位等方面的优越性。
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引用次数: 2
Empirical Analysis of Technical Efficiency of Chinese Coal Industry on Frontier Production Function 基于前沿生产函数的中国煤炭工业技术效率实证分析
Yi Tong
The technical efficiency for the coal industry of China has been estimated in this paper. A stochastic frontier production function on Frontier Production Function has been used for the purpose. Panel data from the coal industries for the year 2006 have been used for empirical estimations. Making use of the software package Eviews 5.0, the model has been estimated by the least squares method. The overall average technical efficiency is estimated to be 0.51 for the coal industry of China. The empirical results suggest the average efficiency is low. Thus improving the efficiency of coal industry is one of the current important problems.
本文对中国煤炭工业的技术效率进行了估算。本文采用边界生产函数上的随机边界生产函数。2006年煤炭行业的面板数据已用于经验估计。利用Eviews 5.0软件包对模型进行最小二乘法估计。中国煤炭工业的总体平均技术效率估计为0.51。实证结果表明,平均效率较低。因此,提高煤炭工业的效率是当前的重要问题之一。
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2009 First International Workshop on Education Technology and Computer Science
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