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2010 Second International Workshop on Education Technology and Computer Science最新文献

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A Structured Approach for Internalizing Externalities Caused by IT Security Mechanisms IT安全机制引起的外部性内部化的结构化方法
Haider Abbas, Christer Magnusson, L. Yngström, A. Hemani
Organizations relying on Information Technology for their business processes have to employ various Security Mechanisms (Authentication, Authorization, Hashing, Encryption etc) to achieve their organizational security objectives of data confidentiality, integrity and availability. These security mechanisms except from their intended role of increased security level for this organization may also affect other systems outside the organization in a positive or negative manner called externalities. Externalities emerge in several ways i. e. direct cost, direct benefit, indirect cost and indirect benefit. Organizations barely consider positive externalities although they can be beneficial and the negative externalities that could create vulnerabilities are simply ignored. In this paper, we will present an infrastructure to streamline information security externalities that appear dynamically for an organization.
依靠信息技术进行业务流程的组织必须采用各种安全机制(身份验证、授权、散列、加密等)来实现数据机密性、完整性和可用性的组织安全目标。这些安全机制除了增加本组织的安全级别之外,还可能以积极或消极的方式影响组织外部的其他系统,称为外部性。外部性表现为直接成本、直接效益、间接成本和间接效益。组织很少考虑积极的外部性,尽管它们可能是有益的,而可能造成漏洞的消极外部性则被简单地忽略了。在本文中,我们将介绍一个基础设施,以简化动态出现在组织中的信息安全外部性。
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引用次数: 4
Notice of RetractionLearners' Needs Analysis in Task-Based Language Teaching 任务型语言教学中学习者需求分析的启示
Xin-ming Lin
Task-based language teaching, as a learner-centered and humanistic way of teaching, involves the learners in performing tasks. Learners' needs analysis, which acts as the principal part in language teaching, will influence the curriculum design, teaching process, teaching methodology and teaching outcomes and elicit relative pedagogical implications.
任务型语言教学是一种以学习者为中心的、以人为本的教学方式,它使学习者参与到任务的执行中。学习者需求分析作为语言教学的主体,影响着课程设计、教学过程、教学方法和教学效果,并产生相应的教学启示。
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引用次数: 1
Application of Grey-Equal Dimension and New Information Neural Network Model to Deformation Prediction 灰色等维及新型信息神经网络模型在变形预测中的应用
Wu Liangcai, Wei Zhiming, Liu Xiangtong, Z. Shuyuan
According to the deformation trend of the plasmodium, the paper utilizes the concept of equal dimension and new information in grey theory to train BP network, sets up equal-dimension and new information model that can fully reflect the law of deformation, and carries on real deformation prediction with this model. Meanwhile, the text utilizes GM (1,1) model of grey theory to predict the plasmodium. By comparing the prediction of the two methods, it draws the conclusion: the equal dimension and new information model is suitable for long data prediction of array and the precision of GM(1,1) model is relatively high.
根据疟原虫的变形趋势,利用灰色理论中的等维和新信息概念对BP网络进行训练,建立了能充分反映变形规律的等维新信息模型,并用该模型进行真实的变形预测。同时,本文利用灰色理论中的GM(1,1)模型对疟原虫进行预测。通过对两种预测方法的比较,得出结论:等维新信息模型适用于阵列长数据预测,GM(1,1)模型精度较高。
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引用次数: 1
An Authenticated Key Agreement Protocol Using Isogenies Between Elliptic Curves 基于椭圆曲线间等同源的认证密钥协议
Weiwei Han, D. He
All the current public-key cryptosystems will become insecure when size of a quantum register is sufficient. An Authenticated key agreement protocols, which is against the attack of quantum computer, is proposed. The strength of the proposed protocol is based on the problem of searching for an isogeny between elliptic curves. The time complexity for solving this problem is exponential, and the problem seems to be hard for solving with a quantum computer. The proposed protocol can provide the security properties known session key security, forward security, resistance to key-compromise impersonation attack and to unknown key-share attack, key control.
当量子寄存器的大小足够大时,现有的所有公钥密码系统都将变得不安全。提出了一种针对量子计算机攻击的身份验证密钥协议。提出的协议的强度是基于寻找椭圆曲线之间的等根问题。解决这个问题的时间复杂度是指数级的,而且这个问题似乎很难用量子计算机来解决。该协议能够提供已知会话密钥安全、转发安全、抗密钥泄露冒充攻击、抗未知密钥共享攻击、密钥控制等安全特性。
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引用次数: 9
An Active Queue Management Algorithm Based on DiffServ Model 基于DiffServ模型的主动队列管理算法
Yu-bao Cui, Yan Cui, Z. Hou, Ya-nan Kang, Qiang Fu
DiffServ model is a main model that guarantees QoS in modern-Large-scale network., On the basis of RIO-C, the paper introduces an Active Queue Management algorithm -- PFRIO that is suitable for DiffServ model. The algorithm increases the fair for bandwidth allocation and the network’s capacity to hand of sudden data flow, and improves the overall performance of DiffServ model effectively.
DiffServ模型是现代大规模网络中保证QoS的主要模型。在io - c的基础上,介绍了一种适用于DiffServ模型的主动队列管理算法——PFRIO。该算法提高了带宽分配的公平性和网络处理突发数据流的能力,有效地提高了DiffServ模型的整体性能。
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引用次数: 2
Notice of RetractionResearch on Reform of Computer Elementary Education in University 《关于高校计算机基础教育改革研究的通知》
Ming Xiao, Guan Hu
CEEU (computer elementary education in university) is to develop students adapt to the new era, to master new technical means of education, whose main goal is to foster a high level, complex, multi-skilled and innovative professional talented persons. The current characteristics of CEEU are analyzed and the reform on modularization of teaching contents is realized. Also, the digital teaching system is established after the research on the teaching pattern of CEEU. What's more, a training system for talented persons is established after the investigation to the problems in the process of CEEU. In addition, a reasonable mechanism of the examinations is proposed for the request of the selection of qualified personnel in modern education system. In comparison with the teaching effects of CEEU, the solution of the reform of CEEU offers a certain reference value to the education reform on other disciplines.
高校计算机基础教育是培养适应新时代、掌握新的教育技术手段的学生,其主要目标是培养高层次、复合型、多技能、创新型的专业人才。分析了高职高专目前的特点,实现了教学内容模块化的改革。通过对高职高专教学模式的研究,建立了高职高专数字化教学系统。并通过对中小企业人才培养过程中存在问题的调查,建立了中小企业人才培养体系。此外,针对现代教育系统对人才选拔的要求,提出了合理的考试机制。对比中欧高等教育的教学效果,中欧高等教育改革的解决方案对其他学科的教育改革具有一定的参考价值。
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引用次数: 4
Diseases Association Discovery Based on XML EMR 基于XML EMR的疾病关联发现
Xu Yabin, Peng Hongyu
First, the meaning of data mining from EMR with a view to discover valuable knowledge, as well as current problems is introduced. Then, several possible storage methods for EMR are deeply analyzed and studied. On this basis, the solution of storage XML EMR with DB2/9.5 hybrid database is presented. The XQ-Apriori algorithm based on classic Apriori algorithm and XML query language XQuery, as well as an application case for association rules mining directly from XML EMR and other kinds of XML documents is introduced in detail. It is proved the association between diseases can be discovered in effect by using this algorithm. Finally, the application circs and the application scope of the algorithm are summarized and illuminated, and further developed research work by author are recommended.
首先介绍了从电子病历中挖掘有价值知识的意义,以及目前存在的问题。然后对几种可能的EMR存储方法进行了深入的分析和研究。在此基础上,提出了使用DB2/9.5混合数据库存储XML EMR的解决方案。详细介绍了基于经典Apriori算法和XML查询语言XQuery的XQ-Apriori算法,以及直接从XML EMR和其他类型XML文档中挖掘关联规则的应用实例。实验证明,该算法可以有效地发现疾病之间的关联。最后对该算法的应用环境和适用范围进行了总结和说明,并对作者进一步开展的研究工作提出了建议。
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引用次数: 2
Research on Mining Recycling Economy Spatial Decision Support System Based on Prototyping 基于原型的矿山循环经济空间决策支持系统研究
De-hua Wu, Song-ling Chen, Wen-Yu Liu, Jiang-long Liu
The prototyping is to realize an original model quickly according to the communication between users and developers to improve the model quality and decrease the faults. According to analyzing the basic characteristics of the mining recycling economy, a spatial decision support system (SDSS) development strategy by using the prototyping is proposed to integrate the technologies of the rapid prototyping, ComGIS skills and DSS. A SDSS of mining recycling economy in Qiandongnan is designed as an example using prototyping as its main method, the basic frame has been finished, and the design of its function models and model base also defined.
原型是根据用户和开发人员之间的沟通,快速实现一个原始模型,以提高模型质量,减少错误。在分析矿山循环经济基本特征的基础上,提出了基于原型技术的矿山循环经济空间决策支持系统(SDSS)开发策略,将快速原型技术、ComGIS技术和决策支持系统技术相结合。以黔东南地区矿山循环经济SDSS为例,以原型设计为主要方法,完成了SDSS的基本框架,确定了SDSS的功能模型和模型库的设计。
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引用次数: 0
Hybrid Filtering Recommendation in E-Learning Environment 电子学习环境下的混合过滤推荐
Lianhong Ding, Bingwu Liu, Qi Tao
Personalized recommendation in an e-learning system can actively introduce useful learning resources for learners. It is a “push” mechanism in contrast to the “pull” way like Web searching. At the same time it is also a very efficient way especially when users can not describe their needs exactly. This paper put forward an approach to recommend right learning resources for users with different learning needs by hybrid filtering method. Learning resources are organized by learning topics through text analysis. Users with similar learning interests are found out to form different common interest groups by user behavior tracing and recording. Then, two-level user profiles are built based on common interest group detection and text analysis. At last, learning resources are introduced to users according to user profiles by collaborative filtering and content-based filtering respectively. A time factor is also introduced into the building of user profiles, which makes user profiles adapt to user’s interest shifting.
电子学习系统中的个性化推荐可以主动为学习者介绍有用的学习资源。它是一种“推”机制,而不是像Web搜索那样的“拉”方式。同时,它也是一种非常有效的方法,特别是当用户不能准确地描述他们的需求时。本文提出了一种采用混合过滤方法为不同学习需求的用户推荐合适的学习资源的方法。通过文本分析,将学习资源按学习主题组织起来。通过对用户行为的追踪和记录,找出具有相似学习兴趣的用户,形成不同的共同兴趣群体。然后,基于共同兴趣组检测和文本分析,构建两级用户配置文件。最后,分别采用协同过滤和基于内容过滤的方法,根据用户档案向用户介绍学习资源。在用户档案的构建中引入了时间因素,使用户档案能够适应用户兴趣的变化。
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引用次数: 10
A Watershed Based Segmentation Method for Overlapping Chromosome Images 基于分水岭的重叠染色体图像分割方法
Yan Wenzhong, Feng Xiaohui
Chromosome segmentation affects the performance of the chromosome automatic analysis systems. Watershed algorithm is a widely used segmentation method. Applying it to segment chromosome images can overcome the difficulty caused by overlapping chromosomes. But the vice of the algorithm is its over-segmentation results. An algorithm based on watershed was presented in this paper. The overlapping chromosome images were obtained by a series of pretreatments. Then the distance transform was used to treat these images. The results of the transformation were used as input images for the watershed algorithm. The experiment proved that this algorithm can segment the overlapping chromosomes successfully.
染色体分割影响着染色体自动分析系统的性能。分水岭算法是一种应用广泛的分割方法。将其应用于染色体图像分割,可以克服染色体重叠带来的困难。但该算法的缺点是分割过度。提出了一种基于分水岭的算法。通过一系列预处理得到重叠的染色体图像。然后用距离变换对图像进行处理。将变换结果作为分水岭算法的输入图像。实验证明,该算法能够成功地分割重叠染色体。
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引用次数: 9
期刊
2010 Second International Workshop on Education Technology and Computer Science
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