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2009 XXII International Symposium on Information, Communication and Automation Technologies最新文献

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Zigbee network for remote patient monitoring on general hospital wards Zigbee网络用于综合医院病房的远程病人监控
Yuanlong Liu, R. Sahandi
Availability of Zigbee-based sensor network technology with low-power consuming sensors has made their implementation in healthcare possible, particularly for remote patient monitoring. Two alternative approaches for the deployment of Zigbee-based Wireless Personal Area Networks (WPANs) for remote patient monitoring on general wards are discussed and their performances evaluated in a simulation environment. In the first approach, a single WPAN is considered for gathering and transmitting physiological data from the patients on a ward. In the second approach, which is proposed in this paper, multiple WPANs are considered instead. In this approach, a WPAN will be allocated to each patient on the ward. The simulation results show that the multiple WPANs approach out-performed the single one in respect of efficiency and reliability for data transmission for the entire ward.
具有低功耗传感器的基于zigbee的传感器网络技术的可用性使其在医疗保健领域的实现成为可能,特别是在远程患者监控方面。讨论了部署基于zigbee的无线个人区域网络(wpan)用于普通病房远程患者监测的两种替代方法,并在仿真环境中评估了它们的性能。在第一种方法中,单个WPAN被考虑用于收集和传输病房患者的生理数据。在本文提出的第二种方法中,考虑了多个无线局域网。在这种方法中,WPAN将分配给病房的每个病人。仿真结果表明,在整个病房的数据传输效率和可靠性方面,多无线局域网方案优于单无线局域网方案。
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引用次数: 21
An orthogonal ARX network for identification and control of nonlinear systems 一种用于非线性系统辨识与控制的正交ARX网络
S. Beyhan, M. Alci
This paper presents a new orthogonal neural network (ONN) which is utilized successively for online identification and control of nonlinear discrete-time systems. The proposed network is designed with auto regressive with exogenous (ARX) terms of inputs and outputs, and their orthogonal terms by Chebyshev polynomials. The network is a single layer neural network and computationally efficient with less number of parameters. The identification by the network is performed in stable sense by using Lyapunov stability guaranteed learning rate. Hence, the learning rate depends on the current knowledge of the system instead of using constant learning rate. This learning rate provides fine online optimization. In simulation study, one benchmark nonlinear system is identified and results are compared. Then, one nonlinear functioned system is identified and controlled by model reference control. From results, it is seen that the proposed model has good learning capability for identification and control.
本文提出了一种新的正交神经网络(ONN),并将其应用于非线性离散系统的在线辨识与控制。该网络采用输入和输出具有外生项(ARX)的自回归设计,它们的正交项采用切比雪夫多项式。该网络是一个单层神经网络,计算效率高,参数数量少。利用李雅普诺夫稳定保证学习率,实现了网络在稳定意义上的识别。因此,学习率取决于系统的当前知识,而不是使用恒定的学习率。这个学习率提供了良好的在线优化。在仿真研究中,对一个基准非线性系统进行了辨识,并对结果进行了比较。然后,通过模型参考控制对非线性函数系统进行辨识和控制。结果表明,该模型具有良好的识别和控制学习能力。
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引用次数: 4
Mathematical optimization of decrypting algorithm for soft input decryption 软输入解密算法的数学优化
N. Zivic, E. Kadusic, M. Skrbic
In this work, the strategy for correction of bits using Soft Input Decryption is analyzed. Soft Input Decryption is used for correction of cryptographic check values, which are very fragile when they are transmitted over noisy channels: only one wrong bit at input of the decryptor causes about 50% of errors at output of the decryptor. Soft Input Decryption corrects incorrect bits of cryptographic check values in most of cases using combination of SISO channel decoding and decrypting. Soft Input Decryption is an iterative process and therefore it is needed to minimize duration of iterations. This paper suggests an algorithm for optimization of Soft Input Decryption, which enables restriction of needed computing time of the Soft Input Decryption algorithm. Suggested optimization is performed for ECDSA digital signatures.
本文分析了使用软输入解密进行比特校正的策略。软输入解密用于加密校验值的校正,这些校验值在有噪声的信道上传输时非常脆弱:解密器输入时的一个错误比特就会导致解密器输出时50%的错误。软输入解密在大多数情况下使用SISO信道解码和解密的组合来纠正不正确的加密检查值位。软输入解密是一个迭代过程,因此需要最小化迭代的持续时间。本文提出了一种优化软输入解密算法,可以限制软输入解密算法所需的计算时间。对ECDSA数字签名进行了建议的优化。
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引用次数: 0
Evaluation of Persian text based on Huffman data compression 基于Huffman数据压缩的波斯语文本评价
O. Jalilian, A. Haghighat, Alireza Rezvanian
According to the growth of information sources in recent years along the web, many of web servers have been dedicated to the information sources storage. Until yet many methods are presented for storing and transforming information on the web in the case of paralleling or processing. But one of the researcher's challenges in derivation and restoring data in data mining and information retrievals are to face to this huge amount of information for storing. One of the solutions of this problem is compression of information resources. Notice that the published statistics, Persian language is one of the oldest and the most diffused languages all around the world and web and also according to its kind of alphabets and variety along the Persian texts, an evaluation on compression for Persian texts will be useful. First of all in this paper variety difficulties and huge amount of information on the web, general aspects of Huffman compression methods are introduced, and also some features of Persian language. The state of choosing Persian texts collections has been investigated and the result of tests in compare with some experimental datasets form Persian, English and Arabic were shown. The experimental results are given at the end of paper.
随着近年来信息源沿web的增长,许多web服务器都被专门用于信息源的存储。到目前为止,在并行或处理的情况下,已经提出了许多方法来存储和转换网络上的信息。但数据挖掘和信息检索中数据的派生和恢复是研究人员面临的挑战之一。解决这一问题的方法之一是压缩信息资源。请注意,根据已公布的统计数据,波斯语是世界上最古老、传播最广的语言之一,而且根据它的字母类型和波斯语文本的多样性,对波斯语文本压缩的评估将是有用的。本文首先介绍了网络上各种困难和海量信息的霍夫曼压缩方法的一般方面,以及波斯语的一些特点。对波斯语文本集的选择现状进行了调查,并与波斯语、英语和阿拉伯语的实验数据集进行了比较。最后给出了实验结果。
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引用次数: 8
Implementation of indirect vector control to induction motor with zero current transition inverter 用零电流转换逆变器实现异步电动机的间接矢量控制
G. Bal, Nihat Öztürk, E. Bekiroglu
In this study, the speed control of the vector controlled induction motor was implemented by using hard switching and soft switching inverters. A TMS320F243 digital signal processor was used to implement control algorithm during practical implementation. With the use of the vector control, complex structure of the controller is simplified, and dependence to variations of the motor parameters is reduced. In order to reduce switching losses arising mainly from hard switching method a soft switching method was designed and implemented. Switching signals of the auxiliary switches are independent from main switching signals in the proposed method. The method can be applied to the puls width modulation (PWM) inverter by setting up proper switching strategies.
在本研究中,采用硬开关和软开关逆变器实现矢量控制异步电动机的速度控制。在实际实现中,采用TMS320F243数字信号处理器实现控制算法。利用矢量控制,简化了控制器的复杂结构,降低了对电机参数变化的依赖性。为了降低主要由硬开关法引起的开关损耗,设计并实现了软开关法。在该方法中,辅助开关的开关信号独立于主开关信号。通过设置适当的开关策略,该方法可应用于脉宽调制(PWM)逆变器。
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引用次数: 2
Reliable software development methodology for safety related applications: From simulation to reliable source code 安全相关应用的可靠软件开发方法:从模拟到可靠的源代码
M. Schwarz, H. Sheng, B. Batchuluun, Oleksandr Sheleh, W. Chaaban, J. Börcsök
Reliable software development and methods to validate programming code and source code gain nowadays more importance and will be even more significant in the future. It is not enough that the developer has understood the task, but it has to be validated that from simulation to the actual desired hardware the developed code is functioning correctly. This research and development area increases rapidly and tools are required and demanded from researchers and industries. Our developed tools use Matlabreg / Simulinkreg as a platform to simulate and analyse the functionality of the model and then to verify the functionality of the created meta-programme, which is in this case converted to C. Finally, the functionality has to be verified of the binary source-code downloaded onto the actual operating hardware. This paper describes the necessary steps and tools which have been developed and uses a simple example to illustrate different stages and methods necessary to validate the functionality of the developed programme.
可靠的软件开发和验证程序代码和源代码的方法现在变得更加重要,并且在未来将更加重要。开发人员理解任务是不够的,但必须验证从模拟到实际所需硬件所开发的代码是否正确运行。该研究和开发领域迅速增加,研究人员和行业需要工具。我们开发的工具使用Matlabreg / Simulinkreg作为平台来模拟和分析模型的功能,然后验证所创建的元程序的功能,在这种情况下转换为c语言。最后,必须验证下载到实际操作硬件上的二进制源代码的功能。本文描述了已开发的必要步骤和工具,并使用一个简单的示例来说明验证已开发程序的功能所需的不同阶段和方法。
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引用次数: 4
Traffic performances improvement using DiffServ and MPLS networks 使用DiffServ和MPLS网络提高流量性能
Sabina Baraković, J. Barakovic
Service providers have been in the process of evaluating and evolving their multiple networks to a single converged Internet Protocol (IP)-based infrastructure upon which they will deploy existing and future services. Although many approaches have been proposed, provisioning of Quality of Service (QoS) in the IP-based networks is still a challenging task. From the evolution of QoS solutions, Differentiated Services (DiffServ) appears to become the mainstream QoS solution. Using service differentiation principle, DiffServ approach for providing QoS omits the integration with other traffic control mechanisms. Multi-Protocol Label Switching (MPLS) complements DiffServ providing mechanisms to choose and reserve resources on the best available path for a given traffic. This paper discusses the MPLS DiffServ integration to achieve QoS in IP-based networks and to illustrate its effectiveness by performing a simulation using Network Simulator (ns-2).
服务提供商一直在评估并将其多个网络演进为基于单一融合互联网协议(IP)的基础设施,他们将在此基础上部署现有和未来的服务。尽管已经提出了许多方法,但在基于ip的网络中提供服务质量(QoS)仍然是一项具有挑战性的任务。从QoS解决方案的演变来看,差异化服务(DiffServ)似乎成为了主流的QoS解决方案。DiffServ提供QoS的方法利用服务差异化原理,避免了与其他流量控制机制的集成。多协议标签交换(MPLS)是对DiffServ的补充,提供了为给定流量选择和保留最佳可用路径上的资源的机制。本文讨论了在基于ip的网络中集成MPLS DiffServ以实现QoS,并通过使用Network Simulator (ns-2)进行仿真来说明其有效性。
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引用次数: 3
Intelligent product-driven manufacturing control: A mixed genetic algorithms and machine learning approach to product intelligence synthesis 智能产品驱动制造控制:混合遗传算法和机器学习方法的产品智能合成
M. Gaham, B. Bouzouia
As a specialisation of Holonic agent-based distributed manufacturing control, intelligent product-driven manufacturing control paradigm has recently emerged as one of the most promising paradigms for the development of next generation manufacturing intelligent control systems. But major issue to be solved to make this paradigm effective in real world industrial environment is related to the lack of efficiency of agent-based local decision-making approaches employed. The research work presented in this paper focuses on this pending issue and proposes and formalizes the combination of main capabilities of agent-based intelligent product-driven manufacturing control paradigm and computational intelligence genetic algorithm optimisation tool for the development of effective and efficient intelligent product driven agent-based distributed dynamic scheduling and control strategy. This challenging combination is achieved by neural network-based machine learning technique and enables enhancing manufacturing system reactivity, flexibility and fault tolerance, as well as maintaining behavioural stability and optimality.
智能产品驱动制造控制范式作为基于Holonic agent的分布式制造控制的一种专门化,近年来已成为下一代制造智能控制系统发展最有前途的范式之一。但是,要使这种模式在现实工业环境中有效,需要解决的主要问题是所采用的基于agent的局部决策方法缺乏效率。本文的研究工作围绕这一悬而未决的问题,提出并形式化了基于agent的智能产品驱动制造控制范式的主要功能与计算智能遗传算法优化工具的结合,以开发有效、高效的基于agent的智能产品驱动分布式动态调度与控制策略。这种具有挑战性的组合是通过基于神经网络的机器学习技术实现的,能够增强制造系统的反应性、灵活性和容错性,并保持行为的稳定性和最优性。
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引用次数: 6
Traffic simulation using agent-based models 基于代理模型的交通仿真
Vedran Ljubovic
In this paper we will build a computer traffic model simulating movement of each individual vehicle through the traffic network and the interactions of that vehicle with other vehicles and semaphores (an agent-based model). It will model a simple traffic network (a two-way coordinated semaphore system a.k.a. "green wave") to test certain hypotheses on different kinds of semaphore systems. We will show that, with certain limitations, such a model can run on an average PC computer at speed up to ten times the real-time. In order to validate this model, a two-way coordinated semaphore system will be statistically compared to a non-coordinated system, hopefully proving the advantage of semaphore coordination.
在本文中,我们将建立一个计算机交通模型,模拟每辆车通过交通网络的运动,以及该车与其他车辆和信号量的相互作用(基于智能体的模型)。它将模拟一个简单的交通网络(一个双向协调信号系统,又名。“绿波”)来测试不同类型信号量系统的某些假设。我们将证明,在一定的限制下,这样的模型可以在一台普通的个人电脑上以高达实时速度十倍的速度运行。为了验证该模型,将双向协调信号量系统与非协调系统进行统计比较,希望能证明信号量协调的优势。
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引用次数: 5
Robust model predictive control for constrained distributed delay systems 约束分布式延迟系统的鲁棒模型预测控制
R. M. Esfanjani, S. Nikravesh
A robust model predictive controller is proposed for input constrained linear systems with discrete and distributed delay in the states, where uncertainty is described by an additive bounded disturbance. The method is an extension of recently developed, tube based model predictive control to time-delay systems. A robust local controller maintains the disturbed trajectory of the controlled system in a tube whose center is the nominal trajectory and whose cross section is a robust control invariant set. Asymptotic stability of the invariant set centered on the origin is proved. Moreover, structured procedures are presented to determine offline controller parameters to guarantee closed loop stability and robustness. Online computational burden is reduced compared with the existent min-max and worst case robust predictive controllers.
针对具有离散和分布时滞的输入约束线性系统,提出了一种鲁棒模型预测控制器,其中不确定性由加性有界扰动描述。该方法是最近发展起来的基于管的模型预测控制在时滞系统中的推广。鲁棒局部控制器将被控系统的扰动轨迹保持在一个中心为标称轨迹,截面为鲁棒控制不变量集的管中。证明了以原点为中心的不变量集的渐近稳定性。此外,给出了确定离线控制器参数的结构化过程,以保证闭环稳定性和鲁棒性。与已有的最小最大鲁棒预测控制器和最坏情况鲁棒预测控制器相比,减少了在线计算量。
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引用次数: 3
期刊
2009 XXII International Symposium on Information, Communication and Automation Technologies
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