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2006 Seventh Mexican International Conference on Computer Science最新文献

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Invited Talk Abstracts 特邀演讲摘要
Pub Date : 2011-03-21 DOI: 10.1109/enc.2006.20
T. Landauer, Rosalind W. Picard, D. Touretzky, R. Baker, R. Holte, Amanda Stent, D. Vanderveken
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引用次数: 0
Instantiation Semantics for Message Sequence Charts 消息序列图的实例化语义
Pub Date : 2006-09-18 DOI: 10.1109/ENC.2006.19
G. Padilla, F. Bastani, C. M. D. Oca, Miguel A. Serrano
Message Sequence Charts (MSCs) is a standardized visual notation for expressing requirements in communicating systems. MSCs are commonly used to specify scenarios describing message exchange among entities such as objects, components, systems, etc. A multiplicity is a modeling construct that is used to define constraints in the existential relationships between entities and it is frequently found in static models, such as class or entity diagrams. This paper describes a formal approach for formalizing the combination of MSCs with multiplicities. The formalization is achieved by defining an instantiation partial function that provides a clear interpretation of how to instantiate MSCs with multiplicities. The formalization uses composition operators that are used to formalize inline expressions (a well-known MSCs modeling construct). This formalization is designed to allow integration with the current formal semantics proposed for MSCs
消息序列图(MSCs)是一种标准化的可视化符号,用于表达通信系统中的需求。MSCs通常用于指定描述实体(如对象、组件、系统等)之间消息交换的场景。多重性是一种建模构造,用于定义实体之间存在关系中的约束,它经常出现在静态模型中,例如类或实体图。本文描述了一种形式化MSCs与多样性组合的形式化方法。形式化是通过定义一个实例化部分函数来实现的,该函数提供了如何实例化具有多样性的msc的清晰解释。形式化使用用于形式化内联表达式(一种众所周知的msc建模构造)的组合操作符。这种形式化的目的是允许与当前为msc提出的形式化语义集成
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引用次数: 0
IMO.Net Artificial Neural Networks: an object-oriented reusable software component library to integrate Matlab Neural Networks functionality 国际海事组织。Net人工神经网络:一个面向对象的可重用软件组件库,用于集成Matlab神经网络功能
Pub Date : 2006-09-18 DOI: 10.1109/ENC.2006.18
A. Méndez, Emilio García Roselló, M. Lado, J. G. Dacosta, David Martinez Torres, M. P. Cota
We describe a reusable software component library which encapsulates the functionality of the Matlab Neural Networks Toolbox (MNNT). Our library allows the integration of the neural networks toolbox in the software applications development, independently of the platform and development tools used to build it. This library offers two different sets of classes: 1) an API (application program interface) similar to the Matlab toolbox; and 2) a fully object-oriented designed AP. The benefits of using this software component are: 1) to build reusable applications; and 2) to take advantage of the MNNT functionality, power, and robustness
我们描述了一个可重用的软件组件库,它封装了Matlab神经网络工具箱(MNNT)的功能。我们的库允许将神经网络工具箱集成到软件应用程序开发中,独立于用于构建它的平台和开发工具。这个库提供了两组不同的类:1)类似于Matlab工具箱的API(应用程序接口);2)一个完全面向对象设计的AP。使用这个软件组件的好处是:1)构建可重用的应用程序;2)利用MNNT的功能、功能和健壮性
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引用次数: 2
Service Composition Modeling: A Case Study 服务组合建模:一个案例研究
Pub Date : 2006-09-18 DOI: 10.1109/ENC.2006.28
Valeria de Castro, E. Marcos, M. Sanz
In the last years the innovation in technologies such as XML, Web services and component-based development has motivated the interest in business processes. For this reason various languages for design and implementation of business processes such as Business Process Execution Language for Web services (BPEL) have arisen. However, a weakness of these languages is the difficulty to be used by business analysts in the early stages of the development process. In this work we present, through a case study, a model-driven process for the service composition modeling. The process begins with the identification of the services that will be offered to the user, taken into account the system requirements; and allows to obtain a service composition model. From this model it is possible the mapping to a specific Web services composition language
最近几年,XML、Web服务和基于组件的开发等技术的创新激发了人们对业务流程的兴趣。因此,出现了各种用于设计和实现业务流程的语言,例如用于Web服务的业务流程执行语言(BPEL)。然而,这些语言的一个弱点是业务分析人员在开发过程的早期阶段难以使用。在这项工作中,我们通过一个案例研究,为服务组合建模提供了一个模型驱动的过程。这一过程首先确定将向用户提供的服务,同时考虑到系统的要求;并允许获得服务组合模型。从这个模型可以映射到特定的Web服务组合语言
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引用次数: 14
Using a new Discretization of the Fourier Transform to Discriminate Voiced From Unvoiced Speech 利用一种新的离散化傅立叶变换来区分浊音和浊音
Pub Date : 2006-09-18 DOI: 10.1109/ENC.2006.36
José Antonio Camarena Ibarrola, Edgar Chávez
In automatic speech recognition, voice synthesis, speaker identification and identifying laringeal diseases, it is critical to classify speech segments as voiced or unvoiced. Several techniques have been proposed for this issue during the last twenty years, unfortunately, they either have especial cases where the result is unreliable or need to use not only the present segment of speech but the next one as well, this fact limits its applications (i.e continuous speech recognition). In this paper we present an alternative to voiced/unvoiced classification using a discretization of the continuous Fourier transform
在语音自动识别、语音合成、说话人识别、口腔疾病识别等领域,语音片段的清、不清分类是至关重要的。在过去的二十年里,已经提出了几种技术来解决这个问题,不幸的是,它们要么有特殊情况,结果是不可靠的,要么不仅需要使用当前的语音片段,还需要使用下一个语音片段,这一事实限制了它的应用(即连续语音识别)。在本文中,我们提出了一种替代浊音/浊音分类使用连续傅里叶变换的离散化
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引用次数: 1
Discovery, Dissemination and Integration of Knowledge in a CSCL System CSCL系统中知识的发现、传播和整合
Pub Date : 2006-09-18 DOI: 10.1109/ENC.2006.11
H. D. Rodriguez, J. O. Olmedo-Aguirre
Along with the increase of the educational materials deployed on the Web, an increase in the needs and expectations also exists towards the adoption of Web-based learning systems. In this respect, CSCL provides the technological infrastructure to conduct effective learning methodologies, since it allows the definition of new scenarios of learning as a social endeavor along with the means for their evaluation. In this paper, it is proposed the design of a methodology for the constructivist approach of collaborative learning based on the scientific method and the implementation of a Web-based framework for a course of logic circuits that support this model. The main contributions consist in (i) using the scientific method as a fundamental model for the acquisition of new knowledge derived from using software artifacts discovered and contributed by a community of students, and (ii) developing a computer-based framework that instruments this model in a new generation of CSCL frameworks
随着在网络上部署的教育材料的增加,对采用基于网络的学习系统的需求和期望也在增加。在这方面,CSCL提供了实施有效学习方法的技术基础设施,因为它允许将学习的新场景定义为一种社会努力,并提供了对其进行评估的手段。本文提出了一种基于科学方法的建构主义协作学习方法的设计,并为支持该模型的逻辑电路课程实现了一个基于web的框架。主要贡献包括:(i)使用科学方法作为获取新知识的基本模型,这些知识来源于使用由学生社区发现和贡献的软件工件,以及(ii)开发基于计算机的框架,将该模型用于新一代CSCL框架
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引用次数: 1
An Approach based on New Coordination Mechanisms to Improve the Teamwork of Cooperative Intelligent Agents 基于新型协调机制的协作智能体团队协作改进方法
Pub Date : 2006-09-18 DOI: 10.1109/ENC.2006.5
Salvador Ibarra-Martínez, M. ChristianG.Quintero, J. L. D. L. R. Esteva, J. Castán
This paper present a novel mechanism based on a characteristic of physical agent named "degrees of situation" that aids to improve the coordination among heterogeneous intelligent agents. These systems can be represented by means of the "physical agent" paradigm. One typical implementation of physical agents is autonomous mobile cooperative robots. In our approach the physical agents have different automatic controllers to generate dynamical diversity in the team-work. Here, dynamic means dynamic temporal evolution of continuous variables of the controlled system. Therefore, the multi-agent systems can be considered as a team of heterogeneous intelligent agents with different capabilities that work together to fulfil some cooperative tasks. In particular, this paper is related to studies about how the team-work improves by the "degrees of situation" management. Result and conclusions are shown, emphasizing contributions of the approach in the improvement of the cooperative team-work
本文提出了一种基于物理智能体的“情境度”特性来提高异构智能体间协调的机制。这些系统可以通过“物理代理”范式来表示。物理代理的一个典型实现是自主移动协作机器人。在我们的方法中,物理代理具有不同的自动控制器,以在团队工作中产生动态多样性。这里的动态是指被控系统连续变量的动态时间演化。因此,多智能体系统可以看作是由具有不同能力的异构智能体组成的团队,这些智能体共同完成一些协同任务。特别是,本文涉及到如何通过“情境度”管理来提高团队合作的研究。最后给出了实验结果和结论,强调了该方法在提高团队合作能力方面的贡献
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引用次数: 2
Comparison of Active Structure Lighting Mono and Stereo Camera Systems: Application to 3D Face Acquisition 主动结构照明单声道和立体相机系统的比较:在三维人脸采集中的应用
Pub Date : 2006-09-18 DOI: 10.1109/ENC.2006.8
Da An, A. Woodward, P. Delmas, G. Gimel'farb, John Morris
In this paper, we compare three structured lighting techniques (gray code, gray code shift and stripe boundary) using mono or stereo camera systems to assess 3D reconstruction for human faces. The calibration technique specific to each system is described. The different algorithms were assessed quantitatively and qualitatively with respect to benchmark data obtained from a high precision 3D scanner. We demonstrate that although a mono camera system coupled to a LCD projector runs faster and at lower cost, the stereo camera system aided by structure lighting generates more accurate results
在本文中,我们比较了三种结构化照明技术(灰色编码,灰色编码移位和条纹边界)使用单声道或立体相机系统来评估人脸的3D重建。描述了每个系统特有的校准技术。根据高精度3D扫描仪获得的基准数据,对不同的算法进行了定量和定性评估。我们证明,虽然与LCD投影仪耦合的单声道摄像系统运行速度更快,成本更低,但由结构照明辅助的立体摄像系统产生的结果更准确
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引用次数: 15
Filtering by Sparsely Connected Networks Under the Presence of Strong Additive Noise 强加性噪声下稀疏连接网络的滤波
Pub Date : 2006-09-18 DOI: 10.1109/ENC.2006.15
A. Berrones
A new approach to the problem of noise reduction in signals composed by superpositions of basis functions is proposed. The method is based on interpreting the components of signal models as nodes in a sparsely connected network of overlaps (scalar products). Every point in the data sample expresses an overlap. Networks of this kind, in which nodes carry information by means of vectors, define a knowledge network, a recently introduced concept in the field of statistical physics. Previous results on the statistical properties of knowledge networks are generalized to noise reduction and its shown that is possible to extract important hidden quantities. In particular, an algorithm capable to give estimates of the unknown number of degrees of freedom in signal models is constructed and tested
提出了一种新的基函数叠加信号降噪方法。该方法基于将信号模型的组成部分解释为重叠(标量积)稀疏连接网络中的节点。数据样本中的每个点表示一个重叠。这种网络,其中的节点通过向量传递信息,定义了一个知识网络,这是统计物理领域最近引入的一个概念。将以往关于知识网络统计特性的研究成果推广到降噪领域,表明提取重要的隐藏量是可能的。特别地,构建并测试了一种能够给出信号模型中未知自由度数估计的算法
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引用次数: 1
The Crescent Lab: A smart home lab for students 新月实验室:为学生提供的智能家居实验室
Pub Date : 2006-09-18 DOI: 10.1109/ENC.2006.33
L. Burnell, Antonio Sánchez, J. Priest, C. Hannon
Active learning comes from experiencing phenomena; computing and computer technology requires a place for these experiences to occur. A "Smart Home" is a type of intelligent environment that can provide such a place for this experiential learning. Smart Homes continue to entice us with their promise of anticipating and meeting our needs as they unobtrusively adapt to our changing preferences and goals. The delivery of this promise, however, has met with limited success in terms of functionality and user acceptance. Many commercial and academic efforts are in progress to create true smart home systems. Taking these premises into consideration, students should have lab experiences that relate to both commercial technology as well as state-of-the-art research in computer science. The TCU Crescent Smart Home Lab has been defined to fill this need
主动学习源于体验现象;计算机和计算机技术需要一个场所来实现这些体验。“智能家居”是一种智能环境,可以为这种体验式学习提供这样的场所。智能家居以其预测和满足我们需求的承诺不断吸引着我们,因为它们会悄悄地适应我们不断变化的偏好和目标。然而,就功能和用户接受程度而言,这一承诺的实现取得了有限的成功。许多商业和学术界正在努力创造真正的智能家居系统。考虑到这些前提,学生应该有与商业技术和计算机科学最新研究相关的实验室经验。TCU的Crescent智能家居实验室已经被定义为满足这一需求
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引用次数: 9
期刊
2006 Seventh Mexican International Conference on Computer Science
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