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2009 Ninth International Conference on Hybrid Intelligent Systems最新文献

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Backing up Truck Control Automatically Based on LOS 基于LOS的后备卡车自动控制
Pub Date : 2009-09-22 DOI: 10.1109/HIS.2009.134
Jing Wang, Yong Zhang
The Truck backer-upper problem is a typical problem in the domain of fuzzy control and being a highly nonlinear control problem .This paper present control strategy of fuzzy control based on the Line of Sight (LOS) ,and according to the experience of driver ,and simulation experiment for the problem of backing up truck, simply the fuzzy control rule ,the control of this fuzzy controller is successful to achieve the specified point control problem of backing up truck, control sensitively and without overshoot .The simulation experiment results show that the designed fuzzy controller based on LOS is very useful in backing up truck.
货车倒车问题是模糊控制领域的一个典型问题,是一个高度非线性的控制问题。本文提出了基于视线的模糊控制策略,并根据驾驶员的经验,对倒车问题进行了仿真实验,简单地采用模糊控制规则,该模糊控制器的控制成功地实现了倒车的指定点控制问题。仿真实验结果表明,所设计的基于LOS的模糊控制器在汽车倒车过程中具有良好的控制效果。
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引用次数: 2
A New Intelligent Authorization Agent Model in Grid 网格中的智能授权代理模型
Pub Date : 2009-09-22 DOI: 10.1109/HIS.2009.83
Zhi-Hui Wang, Mingchu Li, Mao-Hua Chen, Chinchen Chang
Authorization takes a significant role in grid security, and the function of the agent is more and more obvious in the grid environment. However, some popular grid toolkits (e.g., Globus) do not support agent technology. In order to enhance the real-time validity of the authorization process, lighten the users’ burden, reduce the cost of management and apply intelligent authorization, this paper introduces intelligent agent technology to Grid authorization. This paper also proposes a framework for a new intelligent authorization agent model, which composed of five modules: a communication module, an analysis module, a task scheduler module, a reaction module and an authorization database module. In addition, the paper describes the agent structure and the new authorization policy. Finally, the paper presents a comparison between the proposed model and the Globus model.
授权在网格安全中占有重要地位,在网格环境中,代理的作用越来越明显。然而,一些流行的网格工具包(例如Globus)不支持代理技术。为了提高授权过程的实时性,减轻用户负担,降低管理成本,实现智能授权,本文将智能代理技术引入网格授权。本文还提出了一种新的智能授权代理模型框架,该模型由五个模块组成:通信模块、分析模块、任务调度模块、响应模块和授权数据库模块。此外,本文还描述了代理结构和新的授权策略。最后,将本文提出的模型与Globus模型进行了比较。
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引用次数: 1
A P2P Network Topology Optimized Algorithm Based on Minimum Maximum K-Means Principle 基于最小最大k均值原理的P2P网络拓扑优化算法
Pub Date : 2009-08-12 DOI: 10.1109/HIS.2009.193
Y. Ma, Zhenhua Tan, G. Chang, Xiaoxing Gao
The most popular routing algorithm in p2p network is that every node keeps a route table which records a certain number of other nodes. Such algorithm selects neighbor nodes at random, and this reduces routing efficiency. In this paper a new algorithm of optimizing p2p overlay network topology is proposed, which is based on minimum maximum k-means principle. According to the communication history, the division presents a steady network topology with k clusters and k cluster center nodes. This optimized p2p network topology presents a high performance of routing efficiency. The minimum maximum principle makes the division more appropriate, so that there will be less probability of being unsteady for the p2p network. The conclusions show that this algorithm is an efficient p2p network topology optimized algorithm.
p2p网络中最流行的路由算法是每个节点保留一个路由表,该路由表记录了一定数量的其他节点。该算法随机选择邻居节点,降低了路由效率。本文提出了一种基于最小最大k均值原理的p2p覆盖网络拓扑优化算法。根据通信历史,划分出具有k个集群和k个集群中心节点的稳定网络拓扑。优化后的p2p网络拓扑具有较高的路由效率。最小最大值原则使得划分更合适,使得p2p网络不稳定的概率更小。实验结果表明,该算法是一种高效的p2p网络拓扑优化算法。
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引用次数: 3
Mining Topology Characteristics and Evolution of Large-Scale Software from Core-Shell Structure 从核壳结构挖掘大型软件拓扑特征及演化
Pub Date : 2009-08-12 DOI: 10.1109/HIS.2009.140
Zhang Haohua, Deng Yufu, Qi Weiyi, Feng Wenjiang, Zhang Liqing
The networks of interdependencies in large-scale software systems are complex, understand and measurement become a key problem for developer. we propose that OO design structure can be quantitative analyzed and better understood via Core-shell decomposition based on complex networks. The k-core analysis allows to characterize networks beyond the degree distribution and uncover structural hierarchies , centrality and evolution due to the specific architecture of the system. we analyze the Core-shell structure of some popular open source software and discuss the differences and similarities, get some noticeable properties, the result show the k-core analysis provides an interesting characterization helping to understand the underlying structure and improve development.
大型软件系统中相互依赖的网络是复杂的,理解和度量成为开发人员面临的一个关键问题。我们提出通过基于复杂网络的核壳分解可以定量分析和更好地理解面向对象设计结构。k-core分析允许描述超出程度分布的网络,并揭示由于系统的特定架构而产生的结构层次、中心性和进化。我们分析了一些流行的开源软件的核-壳结构,并讨论了它们的异同,得到了一些值得注意的特性,结果表明k-核分析提供了一个有趣的特征,有助于理解底层结构和改进开发。
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引用次数: 1
Study on Decision Classification Fusion Model 决策分类融合模型研究
Pub Date : 2009-08-12 DOI: 10.1109/HIS.2009.234
Xiao-dan Zhang, Zhendong Niu
In this paper, a general decision layer classificationfusion model, based on information fusion for improving classification precision, is proposed, that is, different multi -classification algorithms as the feature layer doing respective classification, and the results of classification algorithms are input into decision level, the last classification result is output.This model is applied into improving precision of text classification. And the model is used to the Computer Center of some department. Through the experiment, the text classification fusion model can improve the classification precision effectively
为了提高分类精度,本文提出了一种基于信息融合的通用决策层分类融合模型,即不同的多分类算法作为特征层分别进行分类,将分类算法的结果输入到决策层,最后输出分类结果。将该模型应用于提高文本分类精度。该模型已应用于某部门的计算机中心。通过实验,该文本分类融合模型可以有效地提高分类精度
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引用次数: 0
News Summarization Based on Semantic Similarity Measure 基于语义相似度度量的新闻摘要
Pub Date : 2009-08-12 DOI: 10.1109/HIS.2009.43
Hui Yu
This paper proposed a new method of news summarization based on semantic similarity measure. It used Latent semantic indexing (LSI) to measure sentence similarity, then it used Singular Value Decomposition (SVD) to reduce the dimension of the word-sentence matrix, it used new clustering algorithm to cluster all the sentences. It ordered all the sentences according to their relevant positions in the original document. Experimental result shows that the proposed method can improve the performance of summary.
提出了一种基于语义相似度度量的新闻摘要方法。该方法首先利用潜在语义索引(LSI)度量句子的相似度,然后利用奇异值分解(SVD)对词-句矩阵进行降维,最后利用新的聚类算法对所有句子进行聚类。它将所有的句子按照它们在原文件中的相关位置排列。实验结果表明,该方法可以提高摘要的性能。
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引用次数: 2
A Distributed Security MIPv6 Model Based on Dynamic Policies 基于动态策略的分布式安全MIPv6模型
Pub Date : 2009-08-12 DOI: 10.1109/HIS.2009.200
Tianhan Gao, Nan Guo, Zhiliang Zhu
A distributed security MIPv6 model based on dynamic policies is presented to solve the security compatible problem between MIPv6 nodes and the access network. We combine the distributed defensive structure and MIPv6 to build a distributed secure MIPv6 structure based on policies, and implement the dynamic transference of secure policies during mobile nodes’ movement, thus to make the model has appreciable and self-adapting defensive capability against the change of network structure and enhance the security of access network as well as the mobile nodes’ availability.
为了解决MIPv6节点与接入网之间的安全兼容问题,提出了一种基于动态策略的分布式安全MIPv6模型。我们将分布式防御结构与MIPv6相结合,构建了一种基于策略的分布式安全MIPv6结构,并在移动节点移动过程中实现安全策略的动态迁移,使模型对网络结构的变化具有明显的自适应防御能力,提高了接入网的安全性和移动节点的可用性。
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引用次数: 0
A Cold-Start Recommendation Algorithm Based on New User's Implicit Information and Multi-attribute Rating Matrix 基于新用户隐式信息和多属性评价矩阵的冷启动推荐算法
Pub Date : 2009-08-12 DOI: 10.1109/HIS.2009.184
Hang Yin, G. Chang, Xingwei Wang
Traditional collaborative filtering recommendation algorithms face the cold-start problem. A collaborative filtering recommendation algorithm based on the implicit information of the new users and multi-attribute rating matrix is proposed to solve the problem. The implicit information of the new users is collected as the first-hand interest information. It is combined with other rating information to create a User-Item Rating Matrix (UIRM). Singular Value Decomposition is used to reduce the dimensionality of the UIRM, resulting in the initial neighbor set for target users and a new user-item rating matrix. The user ratings are mapped to the relevant item attributes and the user attributes respectively to generate a User-Item Attribute Rating Matrix and a User Attribute-Item Attribute Rating Matrix (UAIARM). The attributes of new items and UAIARM are matched to find the N users with the highest match degrees as the target of the new items. The attributes of the new users are matched with UAIARM to find the N items with the highest match degrees as the recommended items. Experiment results validate the feasibility of the algorithm.
传统的协同过滤推荐算法面临冷启动问题。针对这一问题,提出了一种基于新用户隐式信息和多属性评价矩阵的协同过滤推荐算法。收集新用户的隐性信息作为第一手兴趣信息。它与其他评级信息相结合以创建用户-项目评级矩阵(UIRM)。使用奇异值分解对UIRM进行降维,得到目标用户的初始邻居集和新的用户-物品评级矩阵。将用户评分分别映射到相关的物品属性和用户属性,生成用户-物品属性评分矩阵和用户属性-物品属性评分矩阵(UAIARM)。将新项目的属性与UAIARM进行匹配,找出匹配度最高的N个用户作为新项目的目标。将新用户的属性与UAIARM进行匹配,找出匹配度最高的N个项目作为推荐项目。实验结果验证了该算法的可行性。
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引用次数: 18
Developing an IDML-Based Embodied Pedagogical Agent System for Multimedia Learning 基于idml的多媒体学习具体化教学代理系统的开发
Pub Date : 2009-08-12 DOI: 10.1109/HIS.2009.15
Kai-Yi Chin, Jim-Min Lin, Zeng-Wei Hong, K. Lin, Wei-Tsong Lee
A number of researches have explored the effect of embodied pedagogical agents in multimedia learning environments. Embodied pedagogical agents have been regarded as practical and powerful tools for instructions in these researches. However, it is hard to find a development kits that support the instructor or teacher to create interactive learning applications together with animated pedagogical agents. Therefore, in order to facilitate the instructor or teacher to generate the content materials of digital learning, we proposed an IDML-based embodied pedagogical agent system(IDML-based EPAS). The system provides the opportunity for teachers to integrate their teaching contents into multimedia presentations and to create embodied pedagogical agents for attracting learners' attention. Moreover, learners can interact with digital learning materials for facilitating the knowledge acquirement. Finally, we utilized the instruction of traffic safety as the interactive learning materials in the IDML-based EPAS for assisting learners to gain more positive attitudes and better achievement.
许多研究探讨了多媒体学习环境中具身教学主体的作用。在这些研究中,具身教学主体被视为实用而有力的教学工具。然而,很难找到一个开发工具包来支持讲师或教师创建交互式学习应用程序以及动画教学代理。因此,为了方便指导者或教师生成数字化学习的内容材料,我们提出了一种基于idml的具体化教学代理系统(embodied pedagogical agent system,简称EPAS)。该系统为教师提供了将其教学内容整合到多媒体演示中的机会,并创造了具体化的教学代理,以吸引学习者的注意力。此外,学习者可以与数字学习材料进行交互,以促进知识的获取。最后,在基于idml的EPAS中,我们利用交通安全教学作为互动学习材料,帮助学习者获得更积极的态度和更好的成绩。
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引用次数: 2
The DCS of Waste Heat Power Generation of Cement Plant Based on Fuzzy Control 基于模糊控制的水泥厂余热发电DCS
Pub Date : 2009-08-12 DOI: 10.1109/HIS.2009.265
Shaoyun Wang, Qingjin Meng, Jingjian Wu
The heat source of waste heat power generation of cement plant is the waste heat gas of cement rotary kiln. Influenced by the impact of cement production, the control system is complex, so the existing control scheme cannot make the satisfactory effect. Based on a thorough analysis of the existing control scheme and the reference to manual operation experience of on-site skilled operator, the paper puts forward an improved fuzzy three impulses control scheme that comes from the drum level control of waste heat boiler. The scheme reflects the smoke temperature of the interference change in the heat source side and the exhaust fan’s rotational speed in the kiln inlet. According to the waste heat power generation technology and control characteristics, we design a set of advanced DCS with the redundancy controllers. The practice shows that the scheme has a satisfactory effect.
水泥厂余热发电的热源是水泥回转窑的余热废气。受水泥生产的影响,控制系统复杂,现有的控制方案不能达到满意的效果。在深入分析现有控制方案的基础上,借鉴现场熟练操作人员的手动操作经验,提出了一种改进的模糊三脉冲控制方案,该方案来源于余热锅炉汽包液位控制。该方案反映了热源侧干扰变化的烟温和窑口排风机转速。根据余热发电技术和控制特点,设计了一套具有冗余控制器的先进DCS系统。实践表明,该方案取得了满意的效果。
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引用次数: 3
期刊
2009 Ninth International Conference on Hybrid Intelligent Systems
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