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2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI)最新文献

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Performance enhancement of galvanometer scanners using extended control structures 使用扩展控制结构的振镜扫描仪的性能增强
C. Mnerie, S. Preitl, Virgil-Florin Duma
The galvanometer-based scanners (GS) are optomechatronic devices with a wide range of applications, from industrial to biomedical imaging. They are driven with periodical and time variable signals - especially sawtooth, triangular, sine wave or signals with special variations. We approach in this paper the rejection of the effect of disturbances in order to improve the tracking performances of the GS. The control solution proposed in the paper is based on the extension of the existing control structure with an additional loop, with an additional controller PID-Ll type, which will ensure better speed response and good immunity to constant disturbances which can affect the servo system.
基于振镜的扫描仪(GS)是光机电设备,具有广泛的应用,从工业到生物医学成像。它们由周期性和时变信号驱动,特别是锯齿波、三角波、正弦波或具有特殊变化的信号。本文研究了抑制干扰影响的方法,以提高系统的跟踪性能。本文提出的控制方案是在原有控制结构的基础上,在原有控制结构的基础上,增加一个额外的环路,增加一个pid - l型控制器,以保证更好的速度响应和对影响伺服系统的恒定扰动的良好免疫力。
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引用次数: 13
Cloud-based clustering of text documents using the GHSOM algorithm on the GridGain platform GridGain平台上使用GHSOM算法的文本文档云聚类
M. Sarnovský, Z. Ulbrik
This paper provides an overview of our research activities aimed on efficient use of distributed computing concepts for text-mining tasks. Work presented within this paper describes the GHSOM (Growing Hierarchical Self-Organizing Maps) algorithm for clustering of text documents and proposes the design and implementation of distributed version of this approach. Proposed implementation is based on JBOWL framework as a base for text mining. For distribution we used MapReduce paradigm implemented within the GridGain framework, which was used as a cloud application platform. Experiments were performed on standard Reuters dataset and for testing purposes we decided to use a simple private cloud infrastructure.
本文概述了我们的研究活动,旨在有效地使用分布式计算概念进行文本挖掘任务。本文介绍的工作描述了用于文本文档聚类的GHSOM(增长层次自组织地图)算法,并提出了该方法的分布式版本的设计和实现。建议的实现是基于JBOWL框架作为文本挖掘的基础。对于分发,我们使用了在GridGain框架内实现的MapReduce范式,该框架被用作云应用平台。实验是在标准的路透社数据集上进行的,出于测试目的,我们决定使用一个简单的私有云基础设施。
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引用次数: 20
A stability approach for reaction-diffusion problems 反应扩散问题的一种稳定性方法
I. Fekete, I. Faragó
In this paper we investigate the N-stability notion in an abstract Banach space setting. The main result is that we verify the N-stability of the implicit difference method for the periodic initial-value reaction-diffusion problem.
本文研究了抽象巴拿赫空间中n -稳定性的概念。主要结果是验证了周期初值反应扩散问题隐式差分法的n-稳定性。
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引用次数: 2
Emulation of a highway bottleneck using leader-follower formation control 基于leader-follower群体控制的高速公路瓶颈仿真
Amélie Chevalier, C. Copot, S. Cristescu, C. Ionescu, R. Keyser
A bottleneck on a highway is a daily occurring phenomenon. Everyday car accidents, long queues and stop-and-go waves are introduced by the driver's behavior. In this work, an effective control algorithm for emulating a bottleneck situation on a highway is presented using a set of mobile robots that can be used to educate young control engineers. We use a combination of i) an in-line leader-follower formation and ii) a formation with two followers for one leader i.e. a triangular formation. Both formations are implemented using distance and angle measurements from image processing algorithms and speed measurements from optical encoders. A cascade PI-P controller is used to stabilize the system. The challenge of the current implementation stands in the fact that there is no communication between the robots.
高速公路上的瓶颈是每天都会发生的现象。日常的交通事故、排长队和走走停停都是由司机的行为引起的。在这项工作中,提出了一种有效的控制算法,用于模拟高速公路上的瓶颈情况,使用一组可用于教育年轻控制工程师的移动机器人。我们使用的组合是i)直线领导-追随者阵型和ii)一个领导者有两个追随者的阵型,即三角形阵型。这两种地层都是通过图像处理算法测量距离和角度,以及光学编码器测量速度来实现的。采用级联PI-P控制器实现系统稳定。当前实现的挑战在于机器人之间没有通信。
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引用次数: 10
Artificial intelligence based TNEP. Part 2: Case studies 基于人工智能的TNEP。第2部分:案例研究
F. Solomonesc, C. Barbulescu, S. Kilyeni, O. Pop, Petru Dan Cristian
The paper is focusing on transmission network expansion planning (TNEP) problem solved using artificial intelligence techniques. It is divided into two parts. The 1st part is dedicated to the particle swarm optimization (PSO) and genetic algorithm (GA) concepts and mechanisms. The mathematical models and the associated software tool are also presented. Practical considerations are discussed. The 2nd part is focusing on case studies. 13 buses test power system, developed by the authors and IEEE 24 RTS have been used. The research work is going to be used in case of the Romanian power system (over 1000 buses).
本文主要研究利用人工智能技术解决输电网扩容规划问题。它分为两部分。第一部分主要介绍了粒子群算法和遗传算法的概念和原理。给出了相应的数学模型和软件工具。讨论了实际考虑。第二部分侧重于案例研究。采用作者自行开发的13总线测试电源系统和ieee24rts。该研究工作将用于罗马尼亚电力系统(超过1000辆公交车)。
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引用次数: 0
New approximations for DQPSK transmission bit error rate DQPSK传输误码率的新近似
Á. Baricz, S. András, J. Fodor
In this paper our aim is to use some tight lower and upper bounds for the differential quaternary phase shift keying transmission bit error rate in order to deduce accurate approximations for the bit error rate by improving the known results in the literature. The computation of our new approximate expressions are significantly simpler than that of the exact expression.
在本文中,我们的目的是使用一些严格的下限和上界的微分四元相移键控传输误码率,以便通过改进文献中的已知结果,推导出准确的误码率近似值。我们新的近似表达式的计算比精确表达式的计算要简单得多。
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引用次数: 4
期刊
2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI)
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