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2009 Second International Symposium on Knowledge Acquisition and Modeling最新文献

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Personalized Recommendation Based on Similarity of Cloud Model 基于云模型相似度的个性化推荐
Pub Date : 2009-11-30 DOI: 10.1109/KAM.2009.190
Rong Luo, Yu-Xi Gong
Analyzing the present situation of personalized recommendation system. Point out the limitation of similarity based on voting, and the disadvantage of the strict matching in calculating similarity. Put forward a new personalized recommendation method based on the statistics of item. Adopt the cloud model to calculate the similarity instead of traditional strict matching of cosine method. The experiments show that the system has better performance.
分析了个性化推荐系统的现状。指出了基于投票的相似度的局限性,以及严格匹配在相似度计算中的缺点。提出了一种基于项目统计的个性化推荐方法。采用云模型计算相似度,取代传统的严格匹配余弦法。实验表明,该系统具有较好的性能。
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引用次数: 1
Logic Animation and Logic Animation Platform 逻辑动画与逻辑动画平台
Pub Date : 2009-11-30 DOI: 10.1109/KAM.2009.164
Mao Chen, Q. Ge, Qingtang Liu, Zhiguo Si
Logic animation, a new style of animation, was first proposed in the application of dynamic geometry software. The concept, features, and possible application prospects of logic animation are further introduced in details in this paper, compared with the traditional style of animation—time-sequential animation. Based on the design ideas of dynamic geometry software, Flash and game engine, the design of a logic animation-making software is also proposed, and finally the resulting software is illustrated with several examples, demonstrating its merits.
逻辑动画是在动态几何软件的应用中首次提出的一种新的动画形式。本文进一步详细介绍了逻辑动画的概念、特点和可能的应用前景,并与传统的动画风格——时序动画进行了比较。基于动态几何软件、Flash和游戏引擎的设计思想,提出了一个逻辑动画制作软件的设计方案,最后通过实例说明了该软件的优点。
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引用次数: 0
Research on the Knowledge Transfer among Enterprise Network: A Perspective from Social Capital 企业网络间知识转移研究:社会资本视角
Pub Date : 2009-11-30 DOI: 10.1109/KAM.2009.200
Yang Zhao, Ying Wang
Firms need to transfer and acquire new knowledge as they seek to opportunities for mutual learning and contributes to organizational members' ability to innovate in and finally contributes to enhance performance. In attempting to understand the antecedents and consequences of organizational knowledge transfer (KT), scholars have increasingly focused on how social capital fosters KT because it is a socializing mechanism. On the other hand, enterprise network offers a platform for KT. So understanding the process of KT in network context accurately and improve the efficiency is very important issues. This paper examines the barriers to KT among enterprise network. These barriers are exactly the study scope of social capital. So using a social capital framework, this article try to analyze the concrete effects of social capital to KT among enterprise networks from three dimensions which are structural, relational and cognitive ones. From the analysis, we conclude that the degree of structural dimension of social capital is positively with the opportunity, motivation and ability of KT and the degree of relational dimension and cognitive dimension of social capital is positively with the effect of KT.
企业需要转移和获取新知识,因为他们寻求相互学习的机会,并有助于组织成员的创新能力,最终有助于提高绩效。在试图理解组织知识转移(KT)的前因和后果时,学者们越来越关注社会资本如何促进KT,因为它是一种社会化机制。另一方面,企业网络为KT提供了一个平台。因此,准确理解网络环境下的KT过程,提高效率是一个非常重要的问题。本文考察了企业网络中KT的障碍。这些障碍正是社会资本的研究范围。因此,本文试图运用社会资本的框架,从结构、关系和认知三个维度来分析社会资本对企业网络中KT的具体影响。通过分析发现,社会资本的结构维度与机会、动机和能力呈正相关,社会资本的关系维度和认知维度与KT的效应呈正相关。
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引用次数: 1
Car-Following Models Study Progress 汽车跟随模型研究进展
Pub Date : 2009-11-30 DOI: 10.1109/KAM.2009.83
B. Cao, Zhaosheng Yang
Car-following model is the vital portion of traffic flow theory which is the foundation for simulation, capacity, control, safety, and ITS. A scientific traffic flow model can properly deal with the severe conflicts between traffic application and demand , efficiently analyse and solve some actual traffic matters. Since the last decade of 20th century , researchers on various fields have recognized the complexity of traffic flow which has attracted many traffic scientists, mathematicians, physicists and economists into this area. The paper reviews the recent discoveries on and development of car-following model theories, and analyzes the main differences between the researchers from the Micro-Modeling. In the light of research practices and investigating the differences and relations of these research methods, we put forward some new views for further study of car following models.
车辆跟随模型是交通流理论的重要组成部分,是交通流仿真、容量、控制、安全、智能交通的基础。科学的交通流模型可以很好地处理交通应用与需求之间的严重冲突,有效地分析和解决一些实际交通问题。自20世纪最后十年以来,各个领域的研究人员都认识到交通流的复杂性,吸引了许多交通科学家、数学家、物理学家和经济学家进入这一领域。本文综述了汽车跟随模型理论的最新发现和发展,并从微观模型的角度分析了研究者之间的主要差异。结合研究实践,考察了这些研究方法的差异和联系,对汽车跟随模型的进一步研究提出了一些新的观点。
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引用次数: 14
The Artificial Intelligence in Personal Knowledge Management 个人知识管理中的人工智能
Pub Date : 2009-11-30 DOI: 10.1109/KAM.2009.269
Lixin Diao, Mingzhang Zuo, Qiang Liu
With the development of the society, it is necessary to apply artificial intelligence to personal knowledge management. This paper researches on it. At first, this paper introduces the meaning of personal knowledge management and the meaning of artificial intelligence. And then introduce the problems in personal knowledge management at present. There are three problems:(1) The problem of information overload. (2) The problem of unstructured information. (3) The problem of tacit knowledge. At third, in order to solve these problems, introduce the application of artificial intelligence in personal knowledge management. The applications are: (1)The intelligent search of knowledge. (2) The automatic classification of knowledge. (3) The conversion of tacit knowledge. This paper explains the application detailed. Finally, summarize that the application of artificial intelligence in personal knowledge management is still at the initial stage, but it has a beautiful future.
随着社会的发展,将人工智能应用到个人知识管理中是十分必要的。本文对此进行了研究。本文首先介绍了个人知识管理的含义和人工智能的含义。然后介绍了目前个人知识管理中存在的问题。主要有三个问题:(1)信息过载问题。(2)非结构化信息问题。(3)隐性知识问题。第三,为了解决这些问题,介绍了人工智能在个人知识管理中的应用。其应用包括:(1)知识的智能搜索。(2)知识的自动分类。(3)隐性知识的转化。本文对其应用进行了详细的说明。最后总结了人工智能在个人知识管理方面的应用尚处于起步阶段,但有着美好的未来。
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引用次数: 9
The Model Research of FAQ Answering System Based on Concept 基于概念的常见问题解答系统模型研究
Pub Date : 2009-11-30 DOI: 10.1109/KAM.2009.288
Maoyuan Zhang, Tingting He, Fuquan Yang
At present, the FAQ (Frequently-Asked Question) answering system cannot understand the user's questions at the concept level, so its efficiency needs to be improved. In this paper, a model of FAQ answering system based on concept is proposed. The system model consists of three components, which are concept-based preprocessing, extraction of question-answer pairs, and concept-based matching of sentences. On the one hand, the model proposes an index-based extracting method of question-answering pairs, to combine the extraction with the index mechanism for improving the speed of extraction. On the other hand, the model expands the user's question at the concept level, and proposes a concept based matching method between sentences, to match the user's question with the question-answering pairs. The concept based matching method concerns the synonymous meanings between sentences at the concept level. In addition, the experimental result shows the matching method is an efficient method.
目前常见问题解答系统在概念层面无法理解用户的问题,效率有待提高。提出了一种基于概念的常见问题问答系统模型。该系统模型由基于概念的预处理、基于概念的问答对提取和基于概念的句子匹配三个部分组成。一方面,该模型提出了一种基于索引的问答对抽取方法,将抽取与索引机制相结合,提高了抽取速度;另一方面,该模型在概念层面对用户提出的问题进行扩展,提出了基于概念的句子间匹配方法,将用户提出的问题与问答对进行匹配。基于概念的匹配方法在概念层面关注句子之间的同义。实验结果表明,该匹配方法是一种有效的方法。
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引用次数: 2
Study and Design of Intelligent Authentication System Based on Fingerprint Identification 基于指纹识别的智能认证系统研究与设计
Pub Date : 2009-11-30 DOI: 10.1109/KAM.2009.247
Fengling Wang, Yuanyi Zhang
The traditional authentication system used certificates, magnetic cards, or passwords to identify a person. It can easily cause forgery, missing or stealing. For this reason, this paper analyzed the merits of fingerprint which is unique, invariability, and uneasy forge. Then designed an intelligent authentication system used embedded technology and a new fingerprint sensor FPC1011C. The system has many advantages, such as small volume, lower power consumption, lower cost, safety and reliability, easy to install and to maintain, good practicality and so on. The validity and efficiency of the system was validated via test-experiment. The results show that this system has the superiority that traditional authentication system unable to realize. It can open a wide development and application space for fingerprint identification technology. Thus provide an ideal solution for personal identification and information security problems, which the current society has faced.
传统的认证系统使用证书、磁卡或密码来识别一个人。它很容易造成伪造、丢失或被盗。为此,本文分析了指纹的唯一性、不变性、不易伪造等优点。然后采用嵌入式技术和新型指纹传感器FPC1011C设计了智能认证系统。该系统具有体积小、功耗低、成本低、安全可靠、安装维护方便、实用性好等优点。通过测试实验验证了该系统的有效性和高效性。结果表明,该系统具有传统认证系统无法实现的优越性。为指纹识别技术的发展和应用开辟了广阔的空间。从而为当前社会所面临的个人身份识别和信息安全问题提供了理想的解决方案。
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引用次数: 8
An Efficient Algorithm for Association Mining 一种高效的关联挖掘算法
Pub Date : 2009-11-30 DOI: 10.1109/KAM.2009.55
Kan Jin
Association rule discovery plays an important role in knowledge discovery and data mining, and efficiency is especially crucial for an algorithm to find frequent patterns from a large database. In this paper, a new algorithm called LogApriori algorithm is proposed by the idea of reducing unnecessary scanning of database in Apriori algorithm. The correctness of LogApriori algorithm is proved in this paper, and the performance of LogApriori algorithm is better than Apriori algorithm theoretically and practically. The success of LogApriori algorithm indicates that the strategy of producing itemsets with different number of items in one scanning can indeed find frequent patterns correctly and effectively.
关联规则发现在知识发现和数据挖掘中起着重要的作用,对于从大型数据库中发现频繁模式的算法来说,效率尤为重要。本文从减少Apriori算法中不必要的数据库扫描的思想出发,提出了一种新的算法LogApriori算法。本文证明了LogApriori算法的正确性,LogApriori算法的性能在理论和实践上都优于Apriori算法。LogApriori算法的成功表明,在一次扫描中产生不同项目数量的项目集策略确实可以正确有效地发现频繁模式。
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引用次数: 3
Chaotic Immune Clonal Selection Algorithm and Its Application 混沌免疫克隆选择算法及其应用
Pub Date : 2009-11-30 DOI: 10.1109/KAM.2009.85
Hongwei Dai, Cunhua Li
Immune Clonal Selection Algorithm (ICSA), based on the clonal selection theory proposed by Burnet, has gained much attention in the last decade. ICSA can exploit and explore the solution space in parallel and effectively. However, antibody random initialization and premature convergence are two problems of ICSA. To solve these problems, chaotic initialization mechanism and quantum interference mechanism are introduced into ICSA. Simulation results based on the traveling salesman problems have demonstrated the efficiency and robustness of the novel Clonal Selection Algorithm.
基于Burnet提出的克隆选择理论的免疫克隆选择算法(Immune Clonal Selection Algorithm, ICSA)在近十年来得到了广泛的关注。ICSA可以并行有效地开发和探索解决方案空间。然而,抗体随机初始化和过早收敛是ICSA存在的两个问题。为了解决这些问题,引入了混沌初始化机制和量子干涉机制。基于旅行商问题的仿真结果证明了该算法的有效性和鲁棒性。
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引用次数: 3
Study of Document Security Management in Cooperative Learning System 合作学习系统中文献安全管理的研究
Pub Date : 2009-11-30 DOI: 10.1109/KAM.2009.248
Xin Yu, Yu Bai, Hongyu Sheng
With the rapid development of multimedia network technology, the traditional teaching modes and learning styles have undergone profound changes. Collaborative learning is just a new teaching mode that comes into being under contemporary teaching circumstance. It is important to train students' cooperative spirit and innovative consciousness. But current collaborative learning system faces with some issues such as security of document. In this paper, we present a model of document security management in cooperative learning system. This scheme provides joint-mode authentication. It can choose authentication mode according to the need of documents' security level and simultaneously provide learning resource authentication.
随着多媒体网络技术的飞速发展,传统的教学模式和学习方式发生了深刻的变化。协作学习是在当代教学环境下产生的一种新的教学模式。培养学生的合作精神和创新意识十分重要。但当前的协同学习系统面临着文件安全等问题。本文提出了一种合作学习系统中文件安全管理的模型。该方案提供联合模式认证。它可以根据文档安全级别的需要选择认证方式,同时提供学习资源认证。
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2009 Second International Symposium on Knowledge Acquisition and Modeling
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