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2008 Electronics, Robotics and Automotive Mechanics Conference (CERMA '08)最新文献

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Visual Characterization of the Dynamics for Network Data Segments (Port 110) with Nonlinear and Computational Techniques 用非线性和计算技术可视化表征网络数据段(端口110)的动态
Pub Date : 2008-09-30 DOI: 10.1109/CERMA.2008.17
O. Garcia-Avilis, E. Bautista-Thompson, C. Cruz-Dorantes
The collective behavior of network data segments corresponding to port 110 (e-mail) was visualized and analyzed with a set of nonlinear and computational parameters such as: Lyapunov exponent, fractal dimension, recurrence, determinism, grammatical rules, and lempel-Ziv complexity. Common methods for network data analysis are based mainly in descriptive statistics, although useful and widely accepted they provide us with a global and partial view of the network dynamics. In this work we applied a series of analytical techniques from nonlinear and computational origin in order to elaborate a more complete view of the network dynamics for data segments from port 110. These techniques preserve information of local and global nature and their combination allows a more complete view about the collective dynamics of this network traffic. The visual representation with visual recurrence analysis and grammatical rules is useful for the detection of changes and events in the network dynamics.
利用Lyapunov指数、分形维数、递归性、决定论、语法规则和lempel-Ziv复杂度等非线性和计算参数,对110端口(e-mail)对应的网络数据段的集体行为进行了可视化分析。网络数据分析的常用方法主要基于描述性统计,尽管它们有用且被广泛接受,但它们为我们提供了网络动态的全局和局部视图。在这项工作中,我们应用了一系列来自非线性和计算起源的分析技术,以详细阐述来自端口110的数据段的网络动力学的更完整视图。这些技术保存了本地和全球性质的信息,它们的结合可以更完整地了解网络流量的集体动态。结合视觉递归分析和语法规则的视觉表示有助于发现网络动态中的变化和事件。
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引用次数: 0
Cooperative Adaptive Behavior Acquisition in Mobile Robot Swarms Using Neural Networks and Genetic Algorithms 基于神经网络和遗传算法的移动机器人群体协同自适应行为获取
Pub Date : 2008-09-30 DOI: 10.1109/CERMA.2008.89
C. Muõz, Nicolás Navarro-Guerrero, T. Arredondo, W. Freund
This paper describes the use of soft computing based techniques toward the acquisition of adaptive behaviors to be used in mobile exploration by cooperating robots. Navigation within unknown environments and the obtaining of dynamic behavior require some method of unsupervised learning given the impossibility of programming strategies to follow for each individual case and for every possible situation the robot may face. In this investigation in particular, it is intended to expose some of the benefits of cooperative learning robots using novel biologically inspired heuristic methods. Experiments were conducted using a Khepera mobile robot simulator which uses a neural network to generate behaviors based on robot sensor measurements. The training of this network was carried out with a genetic algorithm, where each individual is a neural network whose fitness function is the output of a function, proportional to the are a covered by the robot.
本文描述了使用基于软计算的技术来获取自适应行为,用于协作机器人的移动探索。在未知环境中的导航和动态行为的获取需要一些无监督学习的方法,因为不可能对每个单独的情况和机器人可能面临的每一种可能的情况都遵循编程策略。在这项调查中,它的目的是揭示合作学习机器人的一些好处,使用新颖的生物学启发的启发式方法。在Khepera移动机器人模拟器上进行了实验,该模拟器利用神经网络基于机器人传感器测量生成行为。该网络的训练采用遗传算法进行,其中每个个体是一个神经网络,其适应度函数是一个函数的输出,与机器人覆盖的面积成正比。
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引用次数: 1
A Methodology for Implementation of the Execution Phase of Artificial Neural Networks in Digital Hardware Devices 数字硬件设备中人工神经网络执行阶段的实现方法
Pub Date : 2008-09-30 DOI: 10.1109/CERMA.2008.54
Ulises Castro Peñaloza, Jorge E. Ibarra Esquer, Brenda L. Flores Rios
In this paper we describe a methodology for implementing the phase of execution of artificial neural networks (ANN) in hardware devices. First, we show how the elements of a single neuron: multipliers, sum of products and transfer function are separated and constructed as VHDL entities. These entities are then interconnected to form a neuron that can be mapped to a hardware device. Using a similar approach, neurons are grouped in layers, which are then interconnected themselves to construct an artificial neural network. The methodology is intended to lead a neural network designer through the steps required to take the design into a hardware device, starting with the results provided by a neurosimulator, obtaining the network parameters and translating them into a fully synthesizable design. A prototype of a Java-based ANN descriptor to VHDL translator is presented. In addition, the desired characteristics of neurosimulators are discussed and a comparison among different hardware platforms is shown.
本文描述了一种在硬件设备中实现人工神经网络(ANN)执行阶段的方法。首先,我们展示了单个神经元的元素:乘数、乘积和传递函数如何被分离并构建为VHDL实体。然后,这些实体相互连接,形成一个神经元,可以映射到硬件设备。使用类似的方法,神经元分层分组,然后相互连接以构建人工神经网络。该方法旨在引导神经网络设计师完成将设计转化为硬件设备所需的步骤,从神经模拟器提供的结果开始,获得网络参数并将其转化为完全可合成的设计。提出了一种基于java的人工神经网络描述符到VHDL转换器的原型。此外,还讨论了神经模拟器所需的特性,并对不同硬件平台进行了比较。
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引用次数: 3
Development and Application of an Intelligent System to Predict and Optimize the Surface Roughness of 1018 and 4140 Steel 1018和4140钢表面粗糙度智能预测优化系统的开发与应用
Pub Date : 2008-09-30 DOI: 10.1109/CERMA.2008.68
I. Escamilla, P. Perez, L. Torres, Patricia Zambrano
The aim of this research is to present a new methodology for predicting and optimizing the surface roughness during machining of 1018 and 4140 Steel. There is particular interest in finding the best machining value parameters that should be used to achieve good surface roughness. These parameter values can be found by this neural intelligent approach. This methodology analyzes and identifies the parameters involved in the machining process; with this information the model is able to predict the surface roughness value in different conditions and then optimize the results with different intelligent heuristics. The experimental results show that we may conclude that this intelligent system is a suitable methodology for predicting and optimizing surface roughness during the machining of 1018 and 4140 Steel.
本研究的目的是提出一种预测和优化1018和4140钢加工过程中表面粗糙度的新方法。在寻找最佳的加工值参数,应用于实现良好的表面粗糙度特别感兴趣。这种神经智能方法可以找到这些参数值。该方法分析和识别加工过程中涉及的参数;利用这些信息,该模型能够预测不同条件下的表面粗糙度值,然后利用不同的智能启发式方法对结果进行优化。实验结果表明,该智能系统是一种适用于1018和4140钢加工过程中表面粗糙度预测和优化的方法。
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引用次数: 1
Fault Detection and Isolation Problem: Sliding Mode Fuzzy Observers and Linear Integer Programming 故障检测与隔离问题:滑模模糊观测器与线性整数规划
Pub Date : 2008-09-30 DOI: 10.1109/CERMA.2008.80
J. Anzurez-Marín, B. C. Toledo, E.E. Juarez
In this paper, we present some results obtained from the application of a class of sliding mode observers to the model-based fault diagnosis problem in non-linear dynamic systems. A Takagi-Sugeno fuzzy model is used to describe the system and then sliding mode observers are designed to estimate the system state vector, from this the diagnostic signal-residual, is generated by the comparison of measured and estimated output. The linear integer programming technique is proposed to solve the fault isolation problem based in signal-residual. The proposed technique allows determinating the faulted component corresponding to the active signal-residual. This paper shows an application of the fault diagnosis technique which was tested satisfactorily in a two-tank hydraulic system.
本文给出了将一类滑模观测器应用于非线性动态系统基于模型的故障诊断问题的一些结果。采用Takagi-Sugeno模糊模型对系统进行描述,设计滑模观测器对系统状态向量进行估计,并通过测量输出与估计输出的比较产生诊断信号残差。针对基于信号残差的故障隔离问题,提出了线性整数规划技术。该方法可以确定与有源信号残差相对应的故障分量。本文介绍了故障诊断技术在双油箱液压系统中的应用,并取得了满意的结果。
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引用次数: 1
SUMA: A Semantic Business Process Management Architecture SUMA:语义业务流程管理体系结构
Pub Date : 2008-09-30 DOI: 10.1109/CERMA.2008.13
Ismael Rivera, M. Mencke, J. Chamizo, J. Gómez, G. Alor-Hernández, R. Posada-Gómez, Francisco Garcia Sanchez
Business process management (BPM) is the management of IT-supported business operations from a business expert's process view rather than from a technical perspective. The application of SW technologies to BPM has gained interest in both the academic and corporate sector. The most significant issue facing BPM is the integration of business processes in a dynamic environment with an IT system in order to adequately represent business operations and needs. In this paper, we describe how semantic Web technologies and business processes have been combined in order to construct an architecture for business process management, and we present a new framework for increasing exibility and adaptively of business processes, annotating semantic business process artifacts on all modeling levels, and advancing BPM towards knowledge-intensive processes.
业务流程管理(BPM)是从业务专家的流程视图(而不是从技术角度)对it支持的业务操作进行管理。将软件技术应用于BPM已经引起了学术界和企业界的兴趣。BPM面临的最重要的问题是将动态环境中的业务流程与IT系统集成,以便充分表示业务操作和需求。在本文中,我们描述了如何将语义Web技术和业务流程结合起来,以构建业务流程管理的体系结构,并提出了一个新的框架,用于增加业务流程的灵活性和自适应性,在所有建模级别上注释语义业务流程工件,并将BPM推进到知识密集型流程。
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引用次数: 2
Multiperiod Energy Market Competition 多时期能源市场竞争
Pub Date : 2008-09-30 DOI: 10.1109/CERMA.2008.81
C. Tovar-Ramirez, G. Gutiérrez-Alcaraz
Traditionally, business among electric utilities, fuel suppliers and consumers were conducted through bilateral contracts or multiple interchange transactions. These changes in the energy sector in terms of trade between participants, seller and buyers, needs for energy modeling, either as a stand-alone or within the context of a complete system. Market forces will dictate the equilibrium price-quantity, subject to operational constraints in each one of the industries. This paper develops an energy market model that includes generating unitspsila operational and temporal constraints. We assume the existence of hourly spot electricity and fuel markets in where few producers compete to supply markets demand. Numerical examples are provided.
传统上,电力公司、燃料供应商和消费者之间的业务是通过双边合同或多次交换交易进行的。能源部门在参与者、卖方和买方之间的贸易方面的这些变化需要能源建模,无论是作为一个独立的还是在一个完整系统的背景下。市场力量将决定均衡价格-数量,受制于每个行业的操作限制。本文建立了一个包括发电机组、运行约束和时间约束的能源市场模型。我们假设存在每小时现货电力和燃料市场,其中很少有生产商竞争供应市场需求。给出了数值算例。
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引用次数: 3
An Approach for Component-Based Software Composition 一种基于组件的软件组合方法
Pub Date : 2008-09-30 DOI: 10.1109/CERMA.2008.14
J.M. Gomez, G. Alor-Hernández, R. Posada-Gómez, I. Rivera, M. Mencke, J. Chamizo, F. G. Sánchez, I. Toma
Presently, not only a large amount of information resources are available on the Web, but also a complete lattice of dynamic applications, namely, software components and Web Services. Hence, an increasing demand of a proper model and architecture for composition of software components has triggered a huge amount of integration efforts. However, most of them are partially ignoring operational and knowledge-oriented aspects which can hinge on semantics. In this paper, we present a semantically enhanced framework for software composition focusing on component-based systems.
目前,Web上不仅有大量的信息资源,而且有一个完整的动态应用程序,即软件组件和Web服务。因此,对软件组件组合的适当模型和体系结构的日益增长的需求引发了大量的集成工作。然而,它们中的大多数都部分地忽略了可操作性和面向知识的方面,这些方面可能取决于语义。在本文中,我们提出了一个语义增强的软件组合框架,重点关注基于组件的系统。
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引用次数: 3
FPGA Specification of a Personal Digital Assistant 个人数字助理的FPGA规范
Pub Date : 2008-09-30 DOI: 10.1109/CERMA.2008.82
D. Antonio-Torres, J. A. Alonso, C.E. Olarte, S.A. Cravioto-Correa, M.A. Perez-Castillo, C. Minor-Castillo, J.A. Fabre-Freeman, A. Meza-Ramirez
Tools and techniques for high-level design of digital systems have been recently incorporated into some courses of Electronics and Mechatronics Engineering programs at ITESM. This paper reports the design, implementation and verification of a personal digital assistant (PDA) as a final project of the VLSI Design course at ITESM Campus Puebla. The PDA has been specified as being composed of five modules: notepad, clock/calendar, translator, hangman game and calculator. The design approach that has been used consists in using VHDL as the hardware description language and FPGA demonstration boards for physical prototyping. Details of the specification, implementation and verification of each component of the PDA are reported.
数字系统高级设计的工具和技术最近被纳入了ITESM电子与机电工程专业的一些课程。本文报告了一个个人数字助理(PDA)的设计、实现和验证,作为ITESM Puebla校区VLSI设计课程的最终项目。掌上电脑被指定为由五个模块组成:记事本、时钟/日历、翻译、绞刑游戏和计算器。所采用的设计方法是使用VHDL作为硬件描述语言,使用FPGA演示板进行物理原型设计。报告了PDA每个组件的规格、实现和验证的详细信息。
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引用次数: 1
Trajectory Tracking Control for Robotics Manipulators Based on Passivity 基于被动的机器人机械臂轨迹跟踪控制
Pub Date : 2008-09-30 DOI: 10.1109/CERMA.2008.105
J. Oliver, O. Dominguez-Ramirez, E. Quezada
This paper present a synthesized design for asymptotic stable feedback control approach based in Euler-Lagrange passivity properties, hyperbolic trigonometric functions, and the Lyapunov theory (specially second method) for a robot manipulator. Control systems of robot manipulators (tracking trajectory set point) offer many challenges in education where the students must learn robot dynamics and control structures, the solution of regulation and tracking control problem of Euler-Lagrange systems has been known for many years, for a literature review. The classic control systems that are used in robotics manipulators as a mechanical system, don't allow to compensate the no linear dynamics performance, for example, inertia, Coriolis, gravity and tribology forces. To this end, we propose a nonlinear control design, based on the Euler-Lagrange formulation andits dynamics properties, the passivity injection, and the Lyapunov stability theory (second method). To this goal, we present the tracking set point, the stability proof and an illustrative example.
本文提出了一种基于欧拉-拉格朗日无源性、双曲三角函数和李亚普诺夫理论(特别是第二方法)的机器人机械臂渐近稳定反馈控制方法的综合设计。机器人操纵器的控制系统(跟踪轨迹设定点)在教育中提出了许多挑战,学生必须学习机器人动力学和控制结构,欧拉-拉格朗日系统的调节和跟踪控制问题的解决方法已经存在多年,本文对文献进行了综述。机器人机械臂的经典控制系统作为一个机械系统,不允许补偿非线性动力学性能,例如惯性,科里奥利力,重力和摩擦学力。为此,我们提出了一种基于欧拉-拉格朗日公式及其动力学特性、无源注入和李亚普诺夫稳定性理论(第二种方法)的非线性控制设计。为此,给出了跟踪设定点、稳定性证明和一个实例。
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引用次数: 5
期刊
2008 Electronics, Robotics and Automotive Mechanics Conference (CERMA '08)
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