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2015 10th International Conference on Computer Science & Education (ICCSE)最新文献

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A distributed search engine based on a re-ranking algorithm model 一种基于重新排序算法模型的分布式搜索引擎
Pub Date : 2015-07-22 DOI: 10.1109/ICCSE.2015.7250325
Jingyong Wan, Beizhan Wang, W. Guo, Kang Chen, Jiajun Wang
With the rapid increase of websites and the explosive growth of Internet information, the centralized search engine will face great challenge in mass data processing and mass data storage. However, the distributed search engine can solve the problem effectively. In this paper, we describe the design and implementation of a distributed search engine that is based on Apache Nutch, Solr and Hadoop. Considering users click logs, we propose a re-ranking algorithm based on Lucene scoring. Our experimental results show that our approaches significantly satisfy users' massive data searching demand while maintaining high reliability and scalability.
随着网站的快速增加和互联网信息的爆炸式增长,集中式搜索引擎在海量数据处理和海量数据存储方面将面临巨大的挑战。而分布式搜索引擎可以有效地解决这一问题。本文描述了一个基于Apache Nutch、Solr和Hadoop的分布式搜索引擎的设计与实现。考虑到用户的点击记录,我们提出了一种基于Lucene评分的重新排名算法。实验结果表明,我们的方法在保持高可靠性和可扩展性的同时,显著地满足了用户的海量数据搜索需求。
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引用次数: 0
Portfolio assessment on computer assisted audiovisual course: An effect study 计算机辅助视听课程档案袋评估的效果研究
Pub Date : 2015-07-22 DOI: 10.1109/ICCSE.2015.7250350
Jing Wu
This study investigates students' and teachers' perception of the impact of portfolio assessment on computer assisted audiovisual course in an EFL classroom. This is an action study, where participants (N=101) were students majors English completing their Audiovisual course at Yiwu Industrial and Commercial College, as partial fulfillment for their 3-year degree program. Drawing upon students' questionnaires and interview data, the result shows students hold positive attitude toward their learning and teachers' teaching procedure in classes. They evaluate higher on the students' learning behavior, among which the cooperation awareness rated the first. However, the positive effect does not cover all the students. An assumption was proposed for further research: An inappropriate portfolio assessment might lead to a polarization in students' class participation.
本研究旨在探讨学生和教师对电脑辅助视听课程中档案袋评估的看法。这是一项行动研究,参与者(N=101)是义乌工商学院英语专业的学生,他们在义乌工商学院完成了视听课程,作为他们三年制学位课程的一部分。根据学生的问卷调查和访谈数据,结果显示学生对自己的学习和教师在课堂上的教学过程持积极态度。他们对学生的学习行为评价较高,其中合作意识排名第一。然而,积极的影响并不是覆盖所有的学生。为进一步研究提出假设:不恰当的档案评估可能导致学生课堂参与的两极分化。
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引用次数: 0
Research and implementation of mobile internet services identification system 移动互联网业务识别系统的研究与实现
Pub Date : 2015-07-22 DOI: 10.1109/ICCSE.2015.7250278
Y. Lan, Yuliang Tang, Sai Zou
The QoS management is studied to enhance the performance of mobile internet services and user experience. Therefore the various mobile internet services transferred in the network need be distinguished for providing QoS guarantees to them. This paper analyzes several Services Identification technologies, such as DPI(Deep Packet Inspection) and DFI(Deep Flow Inspection). A comprehensive design of integrating port detection, DPI and DFI are investigated to overcome the problems of low level keywords automatic acquisition in existing DPI and limited categories of identifiable services in current systems. In this paper, a Mobile Internet Services Identification System (MISIS) is proposed, and the automatic generation of string signatures techniques are used in MISIS for the extracted features from data of mobile internet services. The practical testing results demonstrate that MISIS is characterized as higher automation and accuracy in the services identification.
为了提高移动互联网服务的性能和用户体验,研究了QoS管理。因此,需要对网络中传输的各种移动互联网业务进行区分,为其提供QoS保障。本文分析了几种业务识别技术,如深度包检测(DPI)和深度流检测(DFI)。为了克服现有DPI中低层次关键词自动获取和现有系统中可识别服务类别有限的问题,研究了一种集成端口检测、DPI和DFI的综合设计。本文提出了一种移动互联网服务识别系统(MISIS),该系统采用字符串签名自动生成技术对移动互联网服务数据进行特征提取。实际测试结果表明,MISIS在服务识别方面具有较高的自动化程度和准确性。
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引用次数: 1
Virtual blended learning enriched by gamification and social aspects in programming education 虚拟混合学习丰富了游戏化和社会方面的编程教育
Pub Date : 2015-07-22 DOI: 10.1109/ICCSE.2015.7250286
Gero Luckemeyer
Virtual blended learning as the use of virtual 3D environments in education has already delivered utility in a number of cases. This article presents a concept and a prototype of a 3D environment used in the current semester to employ the new medium in programming education at universities. The concept brings gamification aspects as well as interaction mechanisms from social media to the virtual 3D environment. It thereby aims to reduce the large number of student dropouts due to failing the programming modules by motivating more and less capable students alike to an increased participation in the practical exercises. It is concluded that the concept is applicable in a much broader spectrum of exercise and tutorial settings.
虚拟混合学习作为在教育中使用虚拟3D环境已经在许多情况下提供了实用性。本文介绍了一个3D环境的概念和原型,该环境在本学期用于在大学编程教育中使用这种新媒体。这一概念将游戏化和互动机制从社交媒体带到虚拟3D环境中。因此,它旨在通过激励更多和不太有能力的学生增加参与实践练习来减少由于编程模块失败而导致的大量学生退学。结论是,这个概念适用于更广泛的练习和教程设置。
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引用次数: 9
Research on the system of aid services based on queuing theory 基于排队论的救助服务系统研究
Pub Date : 2015-07-22 DOI: 10.1109/ICCSE.2015.7250256
Chunzhi Wang, Chengcheng Ding, Hui Xu
In our country, there are many disabled people that accounting for about 6.34% of the whole population. It is the unavoidable and can not be ignored problem. Between the volunteers and the disabled users in the interactive process, the quality of the request service has not satisfied the disabled users, and the requirements of the speed and convenience of service are getting higher. Therefore, there may exist the phenomenon of queuing in the interactive process. It is composed of two basic aspects: on the one hand, the disabled users need to get service; on the other hand, the volunteers tried to give users service that they need. In this paper, the improved model is proposed by combining with the actual situation. The queuing system will be applied in the aid service system and shown below. It is not only convenient for the disabled, but also appeal to public to join the aid service.
在我国,有许多残疾人,约占总人口的6.34%。这是一个不可避免的不容忽视的问题。在志愿者与残障用户的交互过程中,请求服务的质量已经不能满足残障用户的需求,对服务的快速性和便利性的要求越来越高。因此,在互动过程中可能存在排队现象。它由两个基本方面组成:一方面,残疾用户需要得到服务;另一方面,志愿者试图为用户提供他们需要的服务。本文结合实际情况,提出了改进的模型。排队系统将应用于援助服务系统,如下所示。这不仅方便了残疾人,而且也吸引了公众加入救助服务。
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引用次数: 0
Research and practice on teaching of software engineering professional English 软件工程专业英语教学的研究与实践
Pub Date : 2015-07-22 DOI: 10.1109/ICCSE.2015.7250362
Hui Wang, Shuling Di, Jianmin Wang, Tongrang Fan
Software engineering professional English plays an important role for training international professional exchange skills. However, the current teaching and learning of software engineering professional English for undergraduate exist some urgent problems needed to be solved, such as, one-sided and outmoded teaching contents, single and monotonous teaching mode, and low learning interest of students. Based on the teaching practices, in this paper we do some researches to resolve the above existed problems to some extent. First, the teaching contents are overall to cover the reading, writing, speaking, and listening four parts. Some teaching contents are carefully selected from the up-to-date and standard knowledge of software engineering and state-of-art academic papers. Second, various and interesting teaching modes are used to enhance the studying enthusiasm of students. The teaching and learning practices testify the effectiveness of our innovations on the course of software engineering professional English.
软件工程专业英语对培养国际专业交流技能起着重要的作用。但是,目前软件工程本科专业英语的教学存在着教学内容片面过时、教学模式单一单调、学生学习兴趣不高等亟待解决的问题。本文结合教学实践,在一定程度上解决了上述问题。首先,教学内容总体上要涵盖读、写、说、听四部分。部分教学内容从软件工程的最新、标准知识和最新的学术论文中精心挑选。第二,采用多种有趣的教学模式,提高学生的学习热情。教学实践证明了软件工程专业英语课程改革的有效性。
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引用次数: 1
A medical support treatment model based on data mining 基于数据挖掘的医疗保障救治模型
Pub Date : 2015-07-22 DOI: 10.1109/ICCSE.2015.7250311
Huan Wang, Jing Ma, Zhengyan Wu, Chen Xiao
Chronic hepatitis B is a stubborn disease afflicting mankind. Interferon alpha treatment is one of available antiviral options of treating chronic hepatitis B at present. However, the expensive treatment costs and side effects greatly hindered its application. It is useful in practice to patients suffering from hepatitis B that giving the analysis before treatment and predicting the possible effect of treatment according to the physiological mechanism and pathological condition of the patients themselves. This research focus on setting a hepatitis B auxiliary treatment model based on data mining technique which exploits the relationship between the treatment results and the characteristic of different patients. The experiment results on real data sets show that our method is effective and practicable.
慢性乙型肝炎是困扰人类的顽疾。干扰素治疗是目前治疗慢性乙型肝炎的有效抗病毒选择之一。然而,昂贵的治疗费用和副作用极大地阻碍了其应用。根据患者自身的生理机制和病理情况,在治疗前进行分析,预测可能的治疗效果,对乙型肝炎患者有实际意义。本研究的重点是建立一个基于数据挖掘技术的乙肝辅助治疗模型,利用治疗结果与不同患者特征之间的关系。在实际数据集上的实验结果表明了该方法的有效性和实用性。
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引用次数: 1
Analysing graduation project rubrics using machine learning techniques 使用机器学习技术分析毕业设计大纲
Pub Date : 2015-07-22 DOI: 10.1109/ICCSE.2015.7250211
Goksu Tuysuzoglu, Nazanin Moarref, Z. Cataltepe, Ayse Tosun Misirli, Y. Yaslan
When grading a student's performance, determining the assessment factors is a substantial step in course evaluation. The aim of this paper is to improve the quality of the assessment criteria for our Computer Engineering Department's graduation reports. We employ machine learning methods to identify the most important evaluation rubrics that affect the overall grade given to graduation projects. First, we eliminate the redundant factors by computing the correlations between them. Second, we apply K-Means & Hierarchical Clustering methods and third, we analyze the proportion of variance values to find the sufficient amount of eigen values to explain the data. Our results show that Overall Performance is the most important, whereas References is the least important evaluation rubric affecting the graduation project grades. The techniques we use can be used to analyze the graduation rubric grading practices and also to come up with an equivalent rubric with smaller set of questions.
在对学生成绩进行评分时,确定评估因素是课程评估的重要步骤。本文旨在提高我校计算机工程系毕业报告评审标准的质量。我们使用机器学习方法来识别影响毕业设计总体成绩的最重要的评估标准。首先,我们通过计算冗余因素之间的相关性来消除冗余因素。其次,我们应用K-Means和分层聚类方法;第三,我们分析方差值的比例,以找到足够数量的特征值来解释数据。我们的研究结果表明,综合表现是最重要的,而参考文献是影响毕业设计成绩的最不重要的评价指标。我们使用的技术可以用来分析毕业题目的评分实践,也可以用更小的问题集来提出一个等效的题目。
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引用次数: 1
E-comics in teaching: Evaluating and using comic strip creator tools for educational purposes 教学中的电子漫画:评估和使用用于教育目的的漫画创作工具
Pub Date : 2015-07-22 DOI: 10.1109/ICCSE.2015.7250261
F. Lazarinis, Ageliki Mazaraki, Vassilios S. Verykios, C. Panagiotakopoulos
In this paper we research the suitability of comic strip creator tools for developing teaching material. A list of criteria is formed based on the findings of previous research and on the characteristics of comics which have been used effectively in teaching in past works. The results of the evaluation of a number of comic strip creator tools are presented and two cases of developing e-comics with the use of these tools are discussed. The main finding, is that despite some limitations, the tools can be successfully utilized to create alternative and more appealing representations of the teaching materials from teachers with no specialized knowledge on painting or comic designing.
本文对漫画创作工具在教材开发中的适用性进行了研究。根据前人的研究成果,结合以往作品中漫画在教学中被有效运用的特点,形成了一份标准清单。本文介绍了一些漫画创作者工具的评估结果,并讨论了使用这些工具开发电子漫画的两个案例。主要的发现是,尽管有一些局限性,这些工具可以成功地用于从没有绘画或漫画设计专业知识的教师那里创建替代的和更吸引人的教材表示。
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引用次数: 30
Multilayer concept factorization for data representation 数据表示的多层概念分解
Pub Date : 2015-07-22 DOI: 10.1109/ICCSE.2015.7250295
Xue Li, Chunxia Zhao, Zhenqiu Shu, Qiong Wang
Previous studies have demonstrated that Concept Factorization (CF) have yielded impressive results for dimensionality reduction and data representation. However, it is difficult to get a desired result by using single layer concept factorization for some complex data, especially for ill-conditioned and badly scaled data. To improve the performance of the existing CF algorithms, in this paper, we proposed a novel clustering approach, called Multilayer Concept Factorization (MCF), for data representation. MCF is a cascade connection of L mixing subsystems to decompose the observation matrix iteratively in a number of layers. Meanwhile, we explore the corresponding update solutions of the MCF method to reduce the risk of getting stuck in local minima in non-convex alternating computations. Experimental results on document and face dataset demonstrate that our proposed method achieves better clustering performance in terms of accuracy and normalized mutual information in clustering.
以前的研究表明,概念分解(CF)在降维和数据表示方面取得了令人印象深刻的结果。然而,对于一些复杂的数据,特别是对于条件恶劣和尺度严重的数据,单层概念分解很难得到理想的结果。为了提高现有CF算法的性能,在本文中,我们提出了一种新的聚类方法,称为多层概念分解(MCF),用于数据表示。MCF是L个混合子系统的级联连接,将观测矩阵逐层迭代分解。同时,我们探索了MCF方法的相应更新解,以降低在非凸交替计算中陷入局部极小值的风险。在文档和人脸数据集上的实验结果表明,本文方法在聚类的准确率和归一化互信息方面都取得了较好的聚类性能。
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引用次数: 6
期刊
2015 10th International Conference on Computer Science & Education (ICCSE)
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