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2009 Ninth International Conference on Hybrid Intelligent Systems最新文献

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Analysis of E-learning Influencing Factors Based on ISM 基于ISM的网络学习影响因素分析
Pub Date : 2009-08-12 DOI: 10.1109/HIS.2009.254
Xinghui Wang
E-learning has become an important way and practice content of higher education and teaching reform. By applying the ISM method of information science, this paper analyzes some e-learning influencing factors, forms the hierarchical structure diagram of the influencing factors, discusses the relationships and meanings of the factors in the hierarchical structure diagram, and reveals the essence of e-learning through inherent logic of factors in the hierarchical structure system.
网络学习已成为高等教育教学改革的重要方式和实践内容。运用信息科学的ISM方法,分析了影响电子学习的一些因素,形成了影响因素的层次结构图,讨论了层次结构图中各因素之间的关系和意义,并通过层次结构体系中因素的内在逻辑揭示了电子学习的本质。
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引用次数: 1
A Study on the Construction of Quality Courses Network Based on HPT 基于HPT的优质课程网络建设研究
Pub Date : 2009-08-12 DOI: 10.1109/HIS.2009.257
Zhenggang Wan, Hailian Kou
With the development of educational technology, Human Performance Technology (HPT), a theory and systematic method formed in the process of improving enterprise performance, is beginning to gain increasing attention in educational technology. In this paper, it analyzed the connotation of the HPT and the current condition and the acquirement of development of Quality Course network construction. It also summed up some problems at this stage such as it focused on the re-building rather than performance during the construction of Quality Course network construction. Based on the concept of HPT, the present paper offers some thoughts and suggestions on the construction of Quality Course network, and applies the model of HPT to the construction of Quality Course network in order to product a model of the construction of Quality Course network, so that some valuable ideas that can promote the development of the construction of Quality Course network can be provided.
随着教育技术的发展,人力绩效技术(Human Performance technology, HPT)作为一种在提高企业绩效的过程中形成的理论和系统方法,在教育技术领域开始受到越来越多的关注。本文分析了精品课程网络建设的内涵以及精品课程网络建设的现状和发展需要。并总结了现阶段精品课程网络建设中存在的重建设轻绩效等问题。本文基于HPT的概念,对优质课程网络的建设提出了一些思考和建议,并将HPT模式应用于优质课程网络的建设,以期形成优质课程网络的建设模式,为促进优质课程网络建设的发展提供一些有价值的思路。
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引用次数: 0
3D Digital Patching Using Height-Map of Broken Surface 利用破碎表面的高度图进行三维数字修补
Pub Date : 2009-08-12 DOI: 10.1109/HIS.2009.69
Meng Li, P. Fu, Shenghe Sun
Considering the facts that all the current 3D patching algorithms use curves of fragment as match features and there is no algorithm takes full advantage of 3D shape features, this paper proposes 3D digital patching method based on height-map of fragment’s broken surface. The 3D data of fragment’s surface is segmented based on region dilation strategy firstly. Then the broken regions are determined via surface coarseness. The global-best patching scheme is achieved by employing height-map as matching feature and complementariness between height-map as matching performance functional. The performance of proposed method is finally verified by simulation tests.
针对目前三维修补算法均以碎片的曲线作为匹配特征,没有一种算法能充分利用三维形状特征的问题,提出了基于碎片破碎面高度图的三维数字修补方法。首先基于区域扩张策略对碎片表面的三维数据进行分割;然后通过表面粗糙度确定破碎区域。采用高度图作为匹配特征,高度图之间的互补性作为匹配性能函数,实现了全局最优拼接方案。最后通过仿真试验验证了该方法的有效性。
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引用次数: 0
Fuzzy Mamdani Inference System Skin Detection 模糊Mamdani推理系统皮肤检测
Pub Date : 2009-08-12 DOI: 10.1109/HIS.2009.224
A. Selamat, M. A. Maarof, Tey Yi Chin
Skin detection is well known to detect the appearance of human and human parts within an image. However, there are several limitations exist in skin detection when using skin colour as cue to detect skin appearance. These limitations include problems such as illumination, skin-like pixels and camera characteristic. In this paper, a set of modified fuzzy rules has been introduced to deal with the skin-lie pixels problem. These modified fuzzy rules were integrated with skin modelling method in order to discriminate skin pixel and non-skin pixel. The experiment conducted in this paper is classification of human skin image and animal images. The experimental result is then compared with explicitly defined skin region and fuzzy sugeno classification method. From the experiments, we have found that the proposed fuzzy rules are applicable if the RGB value of pixel does not close to low value.
众所周知,皮肤检测是检测图像中人体和人体部位的外观。然而,当使用皮肤颜色作为线索来检测皮肤外观时,存在一些局限性。这些限制包括诸如照明、皮肤样像素和相机特性等问题。本文引入了一套改进的模糊规则来处理皮肤-lie像素问题。将这些改进的模糊规则与皮肤建模方法相结合,以区分皮肤像素和非皮肤像素。本文所做的实验是对人体皮肤图像和动物图像进行分类。将实验结果与明确定义的皮肤区域和模糊糖基诺分类方法进行了比较。通过实验,我们发现所提出的模糊规则在像素的RGB值不接近低值时是适用的。
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引用次数: 5
Honey Bee Mating Optimization Scheme for Active Contour Model 主动轮廓模型的蜜蜂交配优化方案
Pub Date : 2009-08-12 DOI: 10.1109/HIS.2009.42
M. Horng, Jin-Yi Chen, Ren-Jean Liou
In this paper, the honey bee mating optimization (HBMO) algorithm is used to improve the detection of the concave region connected with the control points of active contour. In the traditional active contour model (ACM) method, the updating of control point is based on its local energy within a small searching window. As a result, it always results in the failure of precisely searching the boundary concavities. In order to vanquish these drawbacks, the HBMO-based snake scheme is adopted in this paper to search for the optimal position in a lager searching window around each control point. In this proposed scheme, to each active contour there is a chromosome that includes several genes as well as the control points of active contour. These control points are moved iteratively by minimizing the total energy of the active contour. Experimental results reveal that the proposed HBMO-based snake scheme can locate the object boundary of concavity more precisely without requiring large of computational time.
本文采用蜜蜂交配优化(HBMO)算法改进活动轮廓控制点连接凹区域的检测。在传统的主动轮廓模型(ACM)方法中,控制点的更新是基于其在小搜索窗口内的局部能量。因此,它总是导致无法精确搜索边界凹点。为了克服这些缺点,本文采用基于hbmo的蛇形方案,在每个控制点周围的更大搜索窗口中搜索最优位置。在该方案中,每条活动轮廓有一条包含多个基因的染色体以及活动轮廓的控制点。通过最小化活动轮廓的总能量来迭代地移动这些控制点。实验结果表明,基于hbmo的蛇形算法可以在不需要大量计算时间的情况下,更精确地定位出凹凸目标的边界。
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引用次数: 3
Application of Reinforcement Learning in Autonomous Navigation for Virtual Vehicles 强化学习在虚拟车辆自主导航中的应用
Pub Date : 2009-08-12 DOI: 10.1109/HIS.2009.118
Lianqiang Niu, Ling Li
To solve the basic problem in the autonomous navigation for the virtual vehicles, the application of reinforcement learning is discussed, combined with artificial neural network, a model is proposed to realize the autonomous navigation for virtual vehicles. The autonomous navigation for the virtual vehicles is accomplished by reinforcement learning, the generalization problem for the action selection is solved by neural network, the model is tested by virtual environment, and the experiments show that the model is available and feasible.
为了解决虚拟车辆自主导航中的基本问题,讨论了强化学习的应用,结合人工神经网络,提出了实现虚拟车辆自主导航的模型。采用强化学习方法实现了虚拟车辆的自主导航,利用神经网络解决了动作选择的泛化问题,并通过虚拟环境对模型进行了验证,实验表明该模型是有效可行的。
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引用次数: 1
Dynamic Execution Strategy of Web Service Composition Based on e_SPDL and Service Container 基于e_SPDL和服务容器的Web服务组合动态执行策略
Pub Date : 2009-08-12 DOI: 10.1109/HIS.2009.263
Dan Yang, Hong Wang, Yang Liu
Web service composition makes it possible for Web service reused, assembled, providing value-added service. The key problem of web service composition is to find an effective modeling language and to describe it with composition definition language.BPEL4WS is a newly process definition language which is relatively complex and difficult to use. And BPEL4WS only supports static binding of existing services, and put binding of process and services as a known condition. But most of time dynamic service composition is needed to cater to the high dynamic environment. In this paper, firstly a process modeling language e_SPDL based on XML is proposed by simplifying and extending BPEL4WS.e_SPDL is used in the prototype system (e_Scope4WS) which supporting web service composition. The basic structure and control structure of e_SPDL are presented in detail, and a composite service instance described in e_SPDL is given. Then the concept of service container is introduced in e_SPDL which provides the basis for dynamic service execution strategy.And the structure of service container is given. Finally the dynamic execution strategy of the process (i.e. composite service) based on e_SPDL and service container is given.
Web服务组合使得Web服务的重用、组装、提供增值服务成为可能。web服务组合的关键问题是寻找一种有效的建模语言,并用组合定义语言对其进行描述。BPEL4WS是一种较新的过程定义语言,它比较复杂,使用起来比较困难。而且BPEL4WS只支持现有服务的静态绑定,并将流程和服务的绑定作为已知条件。但是很多时候,为了适应高动态性的环境,需要进行动态的服务组合。本文首先通过对BPEL4WS的简化和扩展,提出了一种基于XML的过程建模语言e_SPDL。e_SPDL用于支持web服务组合的原型系统(e_Scope4WS)。详细介绍了e_SPDL的基本结构和控制结构,并给出了e_SPDL中描述的一个复合服务实例。然后在e_SPDL中引入了服务容器的概念,为动态服务执行策略提供了依据。并给出了服务容器的结构。最后给出了基于e_SPDL和服务容器的过程(即复合服务)的动态执行策略。
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引用次数: 1
Inertia Weight Selection Strategy Based on Lyapunov Stability Analysis 基于Lyapunov稳定性分析的惯性权值选择策略
Pub Date : 2009-08-12 DOI: 10.1109/HIS.2009.316
Weibing Fan, Z. Cui, J. Zeng
In this paper, the Lyapunov stability theory is employed to analyze the stability of standard version of particle swarm optimization, and a random inertia weight selection strategy is obtained from the analyzed results. Simulation results show this random strategy may provide an efficient performance.
本文利用Lyapunov稳定性理论对标准版粒子群优化的稳定性进行了分析,并从分析结果中得到了随机惯性权值选择策略。仿真结果表明,这种随机策略可以提供有效的性能。
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引用次数: 2
Fault Prediction Model Based on Phase Space Reconstruction and Least Squares Support Vector Machines 基于相空间重构和最小二乘支持向量机的故障预测模型
Pub Date : 2009-08-12 DOI: 10.1109/HIS.2009.307
Yunhong Gao, Yibo Li
Combining phase space reconstruction theory and least squares support vector machines (LSSVM) method, a novel fault prediction model is proposed in this paper. The model reconstructs phase space for fault characteristics time series of the system and fit the nonlinear relationship of phase point evolution by use of least squares support vector machines according to the laws of phase space evolution. Fault prediction model based on gyroscope drift time series is established for single-step and multi-steps prediction compared with RBF neural network prediction results. The results show that phase space reconstruction method can effectively determine the input and output vectors of prediction model, and in the case of limited samples, the fault prediction model established by the least squares support vector machine has better accuracy and stronger generalization ability.
将相空间重构理论与最小二乘支持向量机(LSSVM)方法相结合,提出了一种新的故障预测模型。该模型对系统的故障特征时间序列进行相空间重构,并根据相空间演化规律,利用最小二乘支持向量机拟合相点演化的非线性关系。建立了基于陀螺仪漂移时间序列的单步和多步故障预测模型,并与RBF神经网络预测结果进行了比较。结果表明,相空间重构方法可以有效地确定预测模型的输入和输出向量,在样本有限的情况下,采用最小二乘支持向量机建立的故障预测模型具有更好的精度和更强的泛化能力。
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引用次数: 5
The Strategy of Data Integration for Manufacturing Enterprises Based on Component Software Development 基于组件软件开发的制造企业数据集成策略
Pub Date : 2009-08-12 DOI: 10.1109/HIS.2009.247
Wenjing Tang, Haiying Xie, Cairong Wang
On the basis of analyzing the integration requirements and understanding the relationship between different management data in enterprise, this paper presents the data management models in business. Research into decentralized engineering data, process planning data and scheduling data has been made. According to the existing data management sharing and their corresponding emulated data integration model, the strategy of data integration management puts forward in the paper which supports component software development.
本文在分析集成需求和理解企业中不同管理数据之间关系的基础上,提出了企业数据管理模型。对分散的工程数据、工艺规划数据和调度数据进行了研究。根据现有的数据管理共享及其相应的仿真数据集成模型,提出了支持组件软件开发的数据集成管理策略。
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2009 Ninth International Conference on Hybrid Intelligent Systems
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