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2011 15th IEEE International Conference on Intelligent Engineering Systems最新文献

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Low-cost, short-term electric load prediction using the α-β-γfilter 利用α-β-γ滤波器进行低成本、短期电力负荷预测
Pub Date : 2011-06-23 DOI: 10.1109/INES.2011.5954769
I. Stanciu, C. Șorândaru
As the society evolves and the population grows, the demand for electrical energy increases. Search for new energy resources, increase the efficiency of the existing power plants, and cost minimization are actions to be taken. One way to reduce the cost is predicting the need for electricity. This problem is not new. This paper presents a low-cost method for short-term electric load prediction. After studying his stability, the algorithm is implemented in LabVIEW and a week of power data is used to test it and assess its performance.
随着社会的发展和人口的增长,对电能的需求也在增加。寻找新能源,提高现有电厂的效率,降低成本是必须采取的行动。降低成本的一种方法是预测电力需求。这个问题并不新鲜。本文提出了一种低成本的短期电力负荷预测方法。在研究了该算法的稳定性后,在LabVIEW中实现了该算法,并利用一周的功率数据对其进行了测试和性能评估。
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引用次数: 3
Graph-based clustering based on cutting sets 基于割集的图聚类
Pub Date : 2011-06-23 DOI: 10.1109/INES.2011.5954735
Krisztián Búza, P. B. Kis, A. Buza
One of the most prominent challenges in data mining is the clustering of databases containing many categorical attributes. Representation of such data in continuous, Euclidean space usually does not reflect the true segments of data. As a crucial consequence, clustering algorithms working in continuous, Euclidean space may produce segmentations of poor quality. An alternative direction explores graph-based representation of data. In this paper, we show that graph-based data representation is well suitable for the case of categorical attributes. In particular, we offer the following contributions: i) we propose and analyze a flexible graph-based genetic clustering algorithm, where the ideal clusters can be characterized using external cluster quality functions, called kernels, ii) we study kernels, and define the crucial property of effective kernels, iii) we introduce a framework for distributed data-oriented graph clustering computations. In contrast of the complexity of our problem, which turns out to be NP-hard in our analysis, experiments show that in case of well clusterable data, our algorithm has attractive scalability properties. We also perform experiments on real medical data that provides us with further evidence about the practical applicability of our approach.
数据挖掘中最突出的挑战之一是包含许多分类属性的数据库的聚类。在连续的欧几里得空间中表示这些数据通常不能反映数据的真实片段。作为一个关键的结果,聚类算法在连续的欧几里得空间中工作可能会产生质量较差的分割。另一个方向是探索基于图的数据表示。在本文中,我们证明了基于图的数据表示非常适合于分类属性的情况。特别是,我们提供了以下贡献:i)我们提出并分析了一种灵活的基于图的遗传聚类算法,其中理想的聚类可以使用外部聚类质量函数(称为核)来表征;ii)我们研究了核,并定义了有效核的关键属性;iii)我们引入了一个面向分布式数据的图聚类计算框架。与我们的问题的复杂性(在我们的分析中被证明是np困难的)相反,实验表明,在可聚类数据良好的情况下,我们的算法具有吸引人的可扩展性。我们还对真实的医疗数据进行了实验,为我们的方法的实际适用性提供了进一步的证据。
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引用次数: 1
Minnesota code: A neuro-fuzzy-based decision tuning 明尼苏达代码:基于神经模糊的决策调整
Pub Date : 2011-06-23 DOI: 10.1109/INES.2011.5954743
N. Sram, M. Takács
The Minnesota Code is the evaluation method of reference ECG signals. The experimental studies compare the effectiveness of the computer based Minnesota Code applications to human usage of the code system, and the results showed that computers are as effective in the evaluation of ECG signal with the Minnesota Code as humans are with visual analysis. A fuzzy-based approach can be used to bypass known imperfections and imprecision of the existing Minnesota Code rules. A fuzzy-based approach also has issues with corner case inputs, which can lead to incorrect partial results and incorrect diagnostics outputs. The fuzzy environment provides more information for the medical expert or for the further levels of the whole hierarchically organized diagnostic structure. The authors of the paper present a possible solution for fine-tuning the diagnostic rules using neural networks. In this paper, the standard fuzzy-based approach is extended to a neuro-fuzzy solution.
明尼苏达码是参考心电信号的评估方法。实验研究比较了基于计算机的明尼苏达码应用与人类使用编码系统的有效性,结果表明,计算机在使用明尼苏达码评估心电信号方面与人类使用视觉分析一样有效。基于模糊的方法可以用来绕过现有明尼苏达州法规的已知缺陷和不精确性。基于模糊的方法也存在极端情况输入的问题,这可能导致不正确的部分结果和不正确的诊断输出。模糊环境为医学专家或整个分层组织的诊断结构的进一步层次提供了更多的信息。本文作者提出了一种利用神经网络对诊断规则进行微调的可能解决方案。本文将标准的基于模糊的方法扩展为神经模糊解。
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引用次数: 2
Intrusion detection with early recognition of encrypted application 入侵检测与早期识别的加密应用程序
Pub Date : 2011-06-23 DOI: 10.1109/INES.2011.5954752
M. Augustín, A. Baláz
The growing number of threats and attacks, that are also present in encrypted communication, give a great importance to Intrusion Detection and Prevention Systems (IDPS). Some of these attacks have a great impact on service availability. This paper presents a way of detecting these attacks and threats by correctly classifying the early recognized encrypted applications. The proposed architecture uses anomaly detection in comparison with early recognized encrypted applications to determine intrusive and non-intrusive behavior.
越来越多的威胁和攻击也存在于加密通信中,这使得入侵检测和防御系统(IDPS)变得非常重要。其中一些攻击对服务可用性有很大影响。本文提出了一种通过对早期识别的加密应用程序进行正确分类来检测这些攻击和威胁的方法。提出的体系结构使用异常检测与早期识别的加密应用程序进行比较,以确定侵入性和非侵入性行为。
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引用次数: 10
Trend objects in supervisory control 监控中的趋势对象
Pub Date : 2011-06-23 DOI: 10.1109/INES.2011.5954767
I. Zolotová, R. Mihal, R. Hosák
Supervisory control application forms a core for comprehensive control of industrial processes. Industrial application of this character consists of many components providing the whole supervisory control system functionality. The most important issues in supervisory control are data acquisition from technological process level, visualization of process together with control function, alarm situations indication, display trend of process variables and other components. This article presents graphical objects used in visualization screens to show what is happening at technological level of controlled process with trend objects as an important part of supervisory control application, using software products from Wonderware Corp.
监控应用是工业过程综合控制的核心。这种特性的工业应用由许多组件组成,提供整个监控系统的功能。监控中最重要的问题是工艺过程层面的数据采集、过程的可视化及控制功能、报警情况指示、过程变量趋势显示等组件。本文采用Wonderware公司的软件产品,将趋势对象作为监控应用的重要组成部分,在可视化屏幕中使用图形对象来显示受控过程的技术层面发生的情况。
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引用次数: 2
Optimization model of maintenance of engineering structures 工程结构维修优化模型
Pub Date : 2011-06-23 DOI: 10.1109/INES.2011.5954722
K. Ambrus-Somogyi, A. Bakó
In the PhD dissertation [6] optimization models were developed for the pavement management system, which could help planning the optimal maintenance work. This model can be generalized for those engineering structures, where there are several types of structures and for each structure there are many components with many different types of deterioration options and duty uses. The condition of application is: the deterioration of certain components not only depends on time, but on the extent of use. In this paper we would like to present the development of Engineering Structures Management System, the different models, and furthermore a practical application — the deterioration model of car parts and the planning of their maintenance.
在博士论文[6]中,针对路面管理系统建立了优化模型,可以帮助规划最优养护工作。该模型可以推广到那些工程结构,其中有几种类型的结构,每个结构都有许多部件,具有许多不同类型的劣化选择和任务用途。应用的条件是:某些部件的劣化不仅取决于时间,而且取决于使用的程度。在本文中,我们将介绍工程结构管理系统的发展,不同的模型,并进一步介绍一个实际应用-汽车零件的劣化模型和维修计划。
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引用次数: 3
XML and Petri Nets in specification and generation of mobile HCI XML和Petri网在移动HCI规范和生成中的应用
Pub Date : 2011-06-23 DOI: 10.1109/INES.2011.5954751
Ines Riahi, Meriem Riahi, Faouzi Moussa
We propose, in this paper, a global approach, based on a formal modeling of the mobile Human-Computer Interaction. It aims to analyze an ubiquitous environment using ontology, described in OWL; and modeling the environment by using a combination of Petri Nets and XML as the Petri Net Markup Language (PNML). In our research, we are interested particularly in the integration of OWL with PNML. How to ensure data exchange between the analyzing and modeling phases of a Human-Computer System? And how can the OWL data feed our Petri Nets?
在本文中,我们提出了一种基于移动人机交互形式化建模的全局方法。它旨在使用OWL描述的本体来分析泛在环境;并通过使用Petri网和XML的组合作为Petri网标记语言(PNML)对环境进行建模。在我们的研究中,我们对OWL与PNML的集成特别感兴趣。如何确保人机系统的分析和建模阶段之间的数据交换?OWL的数据如何提供给我们的Petri网?
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引用次数: 3
Linear parameter varying approach to robust control of a permanent magnet synchronous motor 永磁同步电机的线性变参数鲁棒控制方法
Pub Date : 2011-06-23 DOI: 10.1109/INES.2011.5954760
L. Pohl, P. Blaha
This paper deals with robust control of linear parameter varying (LPV) system (synchronous motor) by a LPV controller. State space equations of asynchronous motor in d-q rotating frame are nonlinear with respect to rotor speed. Nonlinear equations are rewritten to parameter form describing dependency on rotor speed which is assumed to be known by measurement or by estimation. LPV controller is designed using H∞ theory to govern stator currents of synchronous motor. Simulation results presented in this paper show that current controller provides good current tracking over whole range of rotor speeds.
研究了线性变参数系统(同步电机)的鲁棒控制问题。d-q旋转体异步电动机的状态空间方程与转子转速有关,是非线性的。非线性方程被改写为参数形式,描述了转子转速的依赖关系,假设转子转速是通过测量或估计已知的。采用H∞理论设计LPV控制器来控制同步电机定子电流。仿真结果表明,该电流控制器在整个转速范围内具有良好的电流跟踪性能。
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引用次数: 8
Image segmentation methods use on alloy images processing 图像分割方法在合金图像处理中的应用
Pub Date : 2011-06-23 DOI: 10.1109/INES.2011.5954753
P. Slavíková, M. Mudrová, A. Procházka
Presented paper is devoted to application of selected thresholding algorithms and it compares obtained results. Studied methods were verified on a set of microscopic images of aluminum alloy. The goal of this project is satisfying image segmentation as a part of a preprocessing algorithm. This procedure is necessary for the following images processing based on application of Hough Transform.
本文讨论了所选阈值算法的应用,并对所得结果进行了比较。在一组铝合金显微图像上验证了所研究的方法。这个项目的目标是满足图像分割作为预处理算法的一部分。这个程序对于下面基于霍夫变换的图像处理是必要的。
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引用次数: 0
Modeling of the measurement channel of outlet gases of the aviation engine using neural networks 航空发动机排气测量通道的神经网络建模
Pub Date : 2011-06-23 DOI: 10.1109/INES.2011.5954756
F. Adamčík, R. Andoga, P. Krajňák, L. Madarász
The article is focused on diagnostics in the field of aviation turbo-jet engines. Evaluation of their technical status, and potential failures and pre-failure processes can be improved by monitoring their thermally loaded components. Part of the research in the given area also involves mathematical modeling of the channel measuring the exhaust gases temperature, using neural networks to compensate for dynamic errors of slow thermocouples used in such measurements.
本文主要研究航空涡轮喷气发动机的诊断问题。通过监测其热负载组件,可以改进对其技术状态、潜在故障和故障前过程的评估。给定领域的部分研究还涉及测量废气温度的通道的数学建模,使用神经网络来补偿在此类测量中使用的慢速热电偶的动态误差。
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2011 15th IEEE International Conference on Intelligent Engineering Systems
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