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

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Towards a knowledge based design assistance system 迈向基于知识的设计辅助系统
Pub Date : 2011-06-23 DOI: 10.1109/INES.2011.5954757
L. Goldhammer, H. Woyand
Information and knowledge have become an important factor in product development. The approach of a CAD assistance system is for many companies a major step towards the future. For a successful integration of knowledge systems, the factors: knowledge management, KBE, object-oriented modeling, CAx-Automation and a multifunctional programming language, play a decisive role. In this paper we present an approach for a CAD assistance system based on the programming language Python. Python can control the CAD system CATIA V5 via Windows COM interface and also edit CAD data. An object-oriented modeling of CAD components facilitates a knowledge-based design. Simultaneously the knowledge of design can be created and formalized in a knowledge base (ontology). This ontology is also based on the programming language Python. Thus, an opportunity in Python has been created in which the CAD system and the knowledge management can be controlled and used in one level. Therefore this approach paves the way for a CAD-Automation or a CAD assistance system.
信息和知识已经成为产品开发的重要因素。CAD辅助系统的方法对许多公司来说是迈向未来的重要一步。对于一个成功的知识系统集成来说,知识管理、KBE、面向对象建模、cax自动化和多功能编程语言等因素起着决定性的作用。本文提出了一种基于Python编程语言的CAD辅助系统的实现方法。Python可以通过Windows COM接口控制CAD系统CATIA V5,也可以编辑CAD数据。面向对象的CAD构件建模有助于基于知识的设计。同时,设计知识可以在知识库(本体)中创建和形式化。该本体也是基于编程语言Python的。因此,在Python中创造了一个机会,可以在一个层次上控制和使用CAD系统和知识管理。因此,这种方法为CAD自动化或CAD辅助系统铺平了道路。
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引用次数: 4
A novel method for disturbance detection, localization and pattern recognition in signal images 一种新的信号图像干扰检测、定位和模式识别方法
Pub Date : 2011-06-23 DOI: 10.1109/INES.2011.5954755
H. G. Zadeh, Siamak Janianpour, J. Haddadnia
A new approach to pattern recognition and classification of non-stationary power signal is presented in this paper. In the proposed work visual localization and detection of non-stationary power signals are achieved using Image processing and its pattern is recognized and classified by MLP neural network algorithm. Also disturbance localization and classification of the signal, is done once with image processing and one more time with neural network and the results are compared with each other. In MLP neural network method we tried to reduce the disturbance localization errors of image processing method. Various non-stationary power signals are processed through image processing stage to generate property charts of the signal for extracting relevant features for pattern classification. The extracted features are clustered using MLP Neural Network algorithm to refine the cluster centers.
提出了一种新的非平稳电力信号的模式识别与分类方法。该方法利用图像处理技术实现非平稳电力信号的视觉定位和检测,并利用MLP神经网络算法对其模式进行识别和分类。利用图像处理和神经网络分别对信号进行了扰动定位和分类,并对结果进行了比较。在MLP神经网络方法中,我们试图减小图像处理方法的干扰定位误差。通过图像处理阶段对各种非平稳电力信号进行处理,生成信号的属性图,提取相关特征进行模式分类。利用MLP神经网络算法对提取的特征进行聚类,以细化聚类中心。
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引用次数: 0
Developing an integrated platform to identify the risk factors in obstetrics department 开发产科危险因素综合识别平台
Pub Date : 2011-06-23 DOI: 10.1109/INES.2011.5954716
M. Vida, L. Stoicu-Tivadar
The paper presents an ICT tool to support the physicians in their clinical activity assessing and monitoring the cases which lead to preterm birth. The basic ICT tool is an open source called Labkey Server which has the ability to make statistics, reports and other important charts which can help the clinicians and the researcher to prevent the preterm birth. The data will be gathered from multiple databases from different departments or laboratories and processed to adapt to situations and supply the appropriate solution to assist the clinician. The communication is based on HL7 CDA (Clinical Document Architecture) standard. The process will be applied to support detection of risk problems related to pregnancy which if are not detected in time can lead to preterm birth. The proposed platform will be used in the future to perform algorithms adaptable to specific situations and patients in order to add a smart component that can alert the clinician in case of higher risk pregnancy situations.
本文提出了一个信息通信技术工具,以支持医生在他们的临床活动评估和监测的情况下,导致早产。基本的信息通信技术工具是一个名为Labkey Server的开源工具,它能够制作统计数据、报告和其他重要的图表,这些图表可以帮助临床医生和研究人员预防早产。数据将从不同部门或实验室的多个数据库中收集,并进行处理,以适应情况并提供适当的解决方案,以协助临床医生。通信基于HL7 CDA(临床文档体系结构)标准。该程序将用于支持发现与怀孕有关的风险问题,如果不及时发现这些问题可能导致早产。该平台将在未来用于执行适应特定情况和患者的算法,以便添加一个智能组件,在高风险妊娠情况下提醒临床医生。
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引用次数: 0
Simulation model of microturbine unit 微型汽轮机组仿真模型
Pub Date : 2011-06-23 DOI: 10.1109/INES.2011.5954786
Z. Kolka, J. Kalous, V. Biolková, D. Biolek
The paper deals with a time-domain (transient) model of a microturbine power unit for the design, optimization, and verification of control equipment. The model includes the starter motor, generator, gearbox, and single-shaft gas microturbine. In addition to the normal operational performance the model allows simulating various faults including failed ignition in the combustion chamber. Explicit formulation of the differential equations of the model allows computationally effective implementations in a hardware emulator.
本文建立了微型汽轮发电机组的时域(暂态)模型,用于控制设备的设计、优化和验证。该模型包括起动电机、发电机、齿轮箱和单轴微型燃气轮机。除了正常的操作性能外,该模型还可以模拟各种故障,包括燃烧室中的点火失败。该模型的微分方程的显式公式允许在硬件仿真器中进行有效的计算实现。
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引用次数: 4
Application of biomedical metrotomography 生物医学层析成像的应用
Pub Date : 2011-06-23 DOI: 10.1109/INES.2011.5954782
R. Hudák, P. Kat'uch, J. Živčák
Computed tomography scanners (or CT scanners) are very popular medical equipments for tens of years. Its invention initiated a revolution in diagnostic technology by allowing us to look inside a person and obtain a very clear anatomical image without violating the outer surface of his body, in other words, non-invasively [10]. Just few years ago this technology found way to the area of industrial applications and especially to geometrical metrology. Metrotomography is a term that consists of words metrology and tomography. Presented paper describes metrological possibilities of industrial tomography in the area of biomedical engineering in order to hardware limitations and software functions. Specific prosthetic and biomedical experiments were realized by Metrotom 1500 (Carl Zeiss, Germany) at the Technology center of computed tomography, Department of Biomedical Engineering, Automation and Measurement, Technical University in Kosice.
计算机断层扫描仪(或CT扫描仪)是几十年来非常流行的医疗设备。它的发明引发了一场诊断技术的革命,它使我们能够在不侵犯人体外表面的情况下观察人体内部,获得非常清晰的解剖图像,也就是说,是非侵入性的[10]。就在几年前,这项技术进入了工业应用领域,特别是几何计量领域。Metrotomography是一个由metrology和tomography两个词组成的术语。本文描述了工业断层扫描在生物医学工程领域的计量可能性,以克服硬件限制和软件功能。特定的假肢和生物医学实验由德国卡尔蔡司公司的Metrotom 1500在科希策工业大学生物医学工程系、自动化与测量计算机断层扫描技术中心实现。
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引用次数: 2
Previous and Current Cycle Learning approach to a 3D crane system laboratory equipment 以前和当前周期学习方法的三维起重机系统实验室设备
Pub Date : 2011-06-23 DOI: 10.1109/INES.2011.5954744
M. Radac, Florin-Cristian Enache, R. Precup, E. Petriu, S. Preitl, C. Dragos
The paper offers a Previous and Current Cycle Learning (PCCL) approach to the position control of a 3D crane system laboratory equipment in the framework of a new Iterative Learning Control (ILC) structure. The PCCL structure is constructed around a control loop with a frequency domain designed lead-lag controller, and a real PD learning rule is involved. A frequency domain convergence condition is applied to design the learning rule. The design of the ILC structure is illustrated by real-time experimental results related to the position control.
本文提出了一种新的迭代学习控制(ILC)结构框架下的前周期和当前周期学习(PCCL)方法,用于三维起重机系统实验室设备的位置控制。PCCL结构围绕控制环构建,采用频域设计的超前滞后控制器,并涉及一个真实的PD学习规则。采用频域收敛条件设计学习规则。通过与位置控制相关的实时实验结果说明了ILC结构的设计。
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引用次数: 2
Infrared diagnostics of the human hand 手的红外线诊断法
Pub Date : 2011-06-23 DOI: 10.1109/INES.2011.5954783
M. Tkáčová, R. Hudák, J. Živčák
The study deals with thermographic (IRT) diagnosing in neuro-vascular diseases of the human hands such as the Carpal Tunnel Syndrome (CTS). It is considered to be an approach to screening thermal manifestations of the difference between the physiological temperature distribution in the skin of dorsal hands and pathophysiological temperature distribution in hands affected by CTS. We created a database of 178 thermal images of dorsal side of 162 healthy (nRS= 162) and 16 pathological hands (nCTS=16) with clinically diagnosed CTS of 9 patients. Pre-surgical thermograms of the hands with CTS of each subject were taken and stored using IRT (Thermocamera Fluke Ti55/20). We observed the temperature distribution in the entire hand and partial temperatures of the center point of carpals (D1) as well as the area of distal phalanges on middle fingers (D5). The Index of Median Nerve (DMI=(TD1−TD5) was determined based on resulting data. Test results obtained from measurements of the two points on the dorsal side of hands showed that the temperature of CTS hands is typically higher in the phalanges as opposed to the wrist (DMI<0, 62.5%), while the temperature is the lowest in distal phalanges (D5) of healthy hands (DMI≥0, 81.5%). The sensitivity of IRT diagnostic test in our diagnostic process of CTS was calculated to be 0,625. Results will be confirmed by further termal screening of statistically significant group of patients.
本研究涉及人手神经血管疾病如腕管综合征(CTS)的热成像(IRT)诊断。这被认为是筛选手背皮肤生理温度分布与手部病理生理温度分布差异的热表现的一种方法。我们建立了一个数据库,包括162例健康手(nRS= 162)和16例病理手(nCTS=16)的178张背侧热图像,其中9例临床诊断为CTS。使用IRT (Fluke Ti55/20热像仪)对每位受试者的手进行术前热成像并保存。观察全手温度分布、腕骨中心点局部温度分布(D1)、中指远端指骨区温度分布(D5)。根据数据测定正中神经指数(DMI=(TD1−TD5))。测量手背侧两个点的测试结果显示,CTS手的指骨温度通常高于腕关节(DMI< 0.62.5%),而健康手的远端指骨温度最低(DMI≥0.81.5%)。在我们的CTS诊断过程中,IRT诊断试验的灵敏度计算为0.625。结果将通过对具有统计学意义的患者组进行进一步的后期筛查来证实。
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引用次数: 3
Video based urban traffic analysis in signalized intersections 基于视频的信号交叉口城市交通分析
Pub Date : 2011-06-23 DOI: 10.1109/INES.2011.5954766
J. Homlok, K. Kovács, B. Benyó
Nowadays it is a frequent problem that, the infrastructure-development of land transportation comes up against space limits in many cases, moreover the growth of traffic doesn't slack up. This is particularly typical for urban traffic, effecting traffic jams, lags; not to mention the problem of air pollution. In this case the requirements of sustainable development can be satisfied by the optimization of the existing infrastructure. This procedure always begins by observing, collecting and processing information, followed by model creation. In the next step the identified model will help us to analyze even the most extreme situations through different simulation environments and to prepare different traffic analyses.
如今,陆上交通的基础设施建设遇到空间限制是一个经常出现的问题,而且交通的增长也没有放缓。这在城市交通中尤为典型,造成交通堵塞、滞后;更不用说空气污染问题了。在这种情况下,可持续发展的要求可以通过优化现有的基础设施来满足。这个过程总是从观察、收集和处理信息开始,然后是模型创建。在下一步中,确定的模型将帮助我们通过不同的模拟环境来分析最极端的情况,并准备不同的流量分析。
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引用次数: 0
Functional analysis approach to the nonlinear stochastic dynamical systems 非线性随机动力系统的泛函分析方法
Pub Date : 2011-06-23 DOI: 10.1109/INES.2011.5954738
A. Krumov
In the paper general case of nonlinear stochastic dynamical system is considered. The sufficient conditions for robust application of the suggested method are proven with a theorem, applying the theory of nonlinear operators of the functional analysis. As a special case a model of a class of dynamical systems with nonlinear stochastic perturbation is also considered and the sufficient conditions for robust application of the suggested method are proven with the same theorem. An example for the latter case, comparing the numerical computer solution of the original system and the analytical solution of the approximate robust model are given. The method can be applied for analytical and computer modelling of nonlinear stochastic dynamical systems, optimization, synthesis of computer control and for investigation of the stochastic perturbation.
本文考虑了非线性随机动力系统的一般情况。应用泛函分析的非线性算子理论,用一个定理证明了该方法鲁棒应用的充分条件。作为一种特殊情况,本文还考虑了一类具有非线性随机扰动的动力系统模型,并用相同的定理证明了该方法鲁棒应用的充分条件。以后一种情况为例,比较了原系统的数值解和近似鲁棒模型的解析解。该方法可用于非线性随机动力系统的分析和计算机建模、优化、计算机控制的综合以及随机扰动的研究。
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引用次数: 0
Combining different off-line handwritten character recognizers 结合不同的离线手写字符识别器
Pub Date : 2011-06-23 DOI: 10.1109/INES.2011.5954765
C. Travieso, J. B. Alonso, Miguel A. Ferrer
This present work presents a recognizer based on the combination of three Support Vector Machine (SVM) classifiers whose inputs have different parameters from characters. The three approaches of feature extraction for handwritten off-line digits, capital letters and lower case letters, have been chosen for improving the combination using database NIST-SD19. We have applied pre-processing in order to achieve greater inter-class discrimination and similarity. These three feature extractions are based on Kirsch masks with and without slant correction and Fourier elliptic descriptors.
本文提出了一种基于三个支持向量机(SVM)分类器组合的识别器,这些分类器的输入具有不同的字符参数。采用NIST-SD19数据库对手写离线数字(大写字母和小写字母)的三种特征提取方法进行组合改进。为了实现更大的类间区分和相似性,我们应用了预处理。这三种特征提取分别基于Kirsch掩模和傅里叶椭圆描述子。
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引用次数: 2
期刊
2011 15th IEEE International Conference on Intelligent Engineering Systems
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