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First Asia International Conference on Modelling & Simulation (AMS'07)最新文献

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Integrating Analytical and Simulation Techniques in Multi-Echelon Cyclic Planning 多梯次循环规划分析与仿真技术的集成
Pub Date : 2007-03-27 DOI: 10.1109/AMS.2007.54
Y. Merkuryev, Galina Merkuryeva, B. Desmet, E. Jacquet-Lagrèze
The ECLIPS project 'Extended collaborative integrated life cycle supply chain planning system' is introduced. The discussed project scope focuses on development of concepts and technologies in the domain of supply chain planning and managing at the product maturity phase. The concerned concepts and technologies are based on integrating analytical and simulation techniques in multi-echelon cyclic planning. Analytical techniques are used under conditions of dynamic and deterministic demand. Simulation techniques provide a test environment for analytical solutions and allow modeling and optimising planning decisions under conditions of demand variability and uncertainty
介绍了ECLIPS项目“扩展协同集成生命周期供应链规划系统”。讨论的项目范围集中在产品成熟阶段供应链规划和管理领域的概念和技术的发展。在多梯次循环规划中,相关的概念和技术是建立在分析和仿真技术相结合的基础上的。分析技术是在动态和确定性需求的条件下使用的。仿真技术为分析解决方案提供了一个测试环境,并允许在需求变化和不确定的条件下建模和优化规划决策
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引用次数: 25
A Conceptual Design of an Adaptive and Collaborative E-Work Environment 自适应协同电子工作环境的概念设计
Pub Date : 2007-03-27 DOI: 10.1109/AMS.2007.1
Obinna Anya, H. Tawfik, A. Nagar
Emerging work models increasingly take the form of loosely structured, often self-organising networks of nimble and virtual knowledge work teams within and between organisations. To model such work patterns requires a different approach from that of traditional workflow management systems. This paper presents the conceptual design of a prototype adaptive and collaborative e-Work environment - e-Workbench, which we are currently developing to enable future collaborative workspaces to adapt to emerging knowledge work models. We argue that with appropriate knowledge of tasks, workspaces will be able to adapt to work, and automatically retrieve contextually relevant knowledge elements from the Web in order to contribute creatively to problem solving and semantically manage shared information among collaborating workers. Our goal is to enable e-Workbench to become, not only a working environment but also, a collaborator and a co-worker as a result of its knowledge of work and creative participation in problem solving
新兴的工作模式越来越多地采用组织内部和组织之间灵活的虚拟知识工作团队的松散结构,通常是自组织网络的形式。要对这样的工作模式建模,需要一种不同于传统工作流管理系统的方法。本文介绍了一个原型自适应和协作电子工作环境的概念设计- e-Workbench,我们目前正在开发它,以使未来的协作工作空间适应新兴的知识工作模型。我们认为,有了适当的任务知识,工作空间将能够适应工作,并自动从网络中检索上下文相关的知识元素,以便创造性地为解决问题做出贡献,并在协作工作者之间对共享信息进行语义管理。我们的目标是使e-Workbench不仅成为一个工作环境,而且成为一个合作者和同事,因为它对工作的了解和创造性地参与解决问题
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引用次数: 12
Integration Soft Computing Approach to Network Security 网络安全的集成软计算方法
Pub Date : 2007-03-27 DOI: 10.1109/AMS.2007.55
Surat Srinoy
Computer security is defined as the protection of computing system against threats to confidentiality, integrity, and availability. Due to increasing incidents of cyber attacks, building effective intrusion detection systems are essential for protecting information systems security. It is an important issue for the security of network to detect new intrusion attack and also to increase the detection rates and reduce false positive rates in this area. Lacking a distinctive boundary definition among normal and abnormal datasets, discriminating the normal and abnormal behaviors seems too much complex. This paper proposes an integrating support vector machine and rough set for recognizing intrusion detection in computer network. Empirical results clearly show that support vector machine and rough set approach could play a major role for intrusion detection systems
计算机安全被定义为保护计算系统免受机密性、完整性和可用性威胁。随着网络攻击事件的不断增加,建立有效的入侵检测系统对于保护信息系统的安全至关重要。如何检测新的入侵攻击,提高检测率,降低误报率,是网络安全的重要课题。由于正常和异常数据集之间缺乏明确的边界定义,区分正常和异常行为显得过于复杂。提出了一种集成支持向量机和粗糙集的计算机网络入侵检测识别方法。实验结果清楚地表明,支持向量机和粗糙集方法可以在入侵检测系统中发挥重要作用
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引用次数: 2
Bluetooth Based Sensor Networks Issues and Techniques 基于蓝牙的传感器网络问题与技术
Pub Date : 2007-03-27 DOI: 10.1109/AMS.2007.23
C. Dethe, D. Wakde, Chandrakant Jaybhaye
Wireless sensor networks consist of a number of small processors, nodes, which communicate by using ad hoc techniques. Bluetooth can be a good candidate for communications in short range sensor networks. There has been little interest in Bluetooth sensor networks though the idea is not new. In this paper, we describe an experimental Bluetooth sensor network and related implementation issues
无线传感器网络由许多小型处理器、节点组成,它们通过自组织技术进行通信。蓝牙可以成为短距离传感器网络通信的一个很好的候选。人们对蓝牙传感器网络的兴趣不大,尽管这个想法并不新鲜。在本文中,我们描述了一个实验性的蓝牙传感器网络和相关的实现问题
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引用次数: 6
Simplified Modeling, Simulation and Performance Analysis Using Circuit Model for a Corporate Feed Microstrip Patch Array 基于电路模型的企业馈电微带贴片阵列简化建模、仿真与性能分析
Pub Date : 2007-03-27 DOI: 10.1109/AMS.2007.91
P. Soh, A. Azremi, R. A. Rahim, H. Dayang, M. Jusoh
This work is an effort in investigating and modeling an accurate circuit model derived from the transmission line method (CM/TLM) by simulating a rectangular microstrip patch array using two different simulation techniques, the transmission line method (TLM) and method of moments (MoM). Each array contains two element units of rectangular patches. This basic rectangular patch is very accurately modeled in a previous work. The array, which is a combination of several unit of this basic structure, is designed to resonate at 3G/UMTS frequency of 2 GHz. A standard software platform is chosen to simulate both techniques and Microwave Officetrade software is utilized. Both simulation sets (using CM/TLM and MoM) are compared and to determine their level of variation in terms of bandwidth, resonant frequency (fres) and S11. MoM-simulated structure is then fabricated and measured to determine the degree of distinction between hardware and the two simulation sets. Fabrication is done on an FR-4 board with a relative permittivity (epsivr) of 4.7. Antennas designed and simulated for each feeding technique achieved the best return losses at the desired frequency, which is 2 GHz, with S11 values lower than -10 dB. At the same time, both produced relatively sufficient bandwidth for its kind which is about 3.2% CM presented in this work has been found out to have less than 5% difference compared to its MoM counterpart in terms of S11 and resonant frequency (ffres), and slightly higher variation of 6.4% in terms of bandwidth
本文采用传输线法(传输线法)和矩量法(矩量法)两种不同的仿真技术,通过对矩形微带贴片阵列进行仿真,研究并建立了基于传输线法的精确电路模型。每个数组包含两个矩形块的元素单元。这个基本的矩形补丁在以前的工作中非常精确地建模。该阵列是这种基本结构的几个单元的组合,设计用于在3G/UMTS的2 GHz频率上共振。选择一个标准的软件平台来模拟这两种技术,并利用微波办公软件。两个模拟集(使用CM/TLM和MoM)进行比较,并确定其在带宽,谐振频率(fres)和S11方面的变化水平。然后制作和测量mom模拟结构,以确定硬件和两个模拟集之间的区别程度。制造是在相对介电常数(epsivr)为4.7的FR-4板上完成的。针对每种馈电技术设计和仿真的天线在期望频率(2ghz)下获得了最佳回波损耗,S11值低于-10 dB。同时,两者都产生了相对足够的带宽,约为3.2%,本文中提出的CM与MoM相比,在S11和谐振频率(ffres)方面的差异小于5%,在带宽方面的差异略高,为6.4%
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引用次数: 4
A Simulation-Based Approach to Congestion Problem in Cafeteria 基于仿真的自助餐厅拥挤问题研究
Pub Date : 2007-03-27 DOI: 10.1109/AMS.2007.7
Teruaki Ito
Congestion problem is a critical issue at the cafeteria of the University of Tokushima. To cope with this problem, several solutions are under consideration, including layout design, payment method, facilities, etc. In order to examine these solutions, field studies at the cafeteria are required. However, it is neither always possible nor realistic to do so in actual situations. This study applied a simulation-based approach to this problem from the view point of saving time, saving cost, and avoidance of risks. This paper presents the simulation model designed in this research, clarifies how it was implemented for simulation, and the results of simulation to review the feasibility of the proposed solutions
德岛大学食堂的拥挤问题是一个关键问题。为了解决这个问题,我们正在考虑几个解决方案,包括布局设计、付款方式、设施等。为了检验这些解决办法,需要在食堂进行实地研究。然而,在实际情况中这样做既不可能也不现实。本研究从节省时间、节约成本和避免风险的角度出发,采用基于仿真的方法来解决这一问题。本文介绍了本研究设计的仿真模型,阐明了如何实现仿真,并通过仿真结果来验证所提出解决方案的可行性
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引用次数: 5
Modeling of a Two-Wheeled Vehicle Compensated for Exact Contact of the Wheel to the Ground Plane and Simulation 车轮与地平面精确接触补偿的两轮车辆建模与仿真
Pub Date : 2007-03-27 DOI: 10.1109/AMS.2007.62
H. Kanoh, T. Uchida
This research proposes a kinematics and a dynamics models of a two-wheeled vehicle, such as a bicycle or a motorcycle. The modeling of the two-wheeled vehicle has been studied extensively for many years, this paper derives a more exact kinematic model by adding a holonomic condition which compensates exact contact of the front wheel to the ground plane against the handle operation. Using the Lagrange equation subject to the holonomic condition and five non-holonomic conditions for the rear and front wheels, a dynamic model of the two-wheeled vehicle is also derived. Simulation results are given for the kinematic motion and dynamic motion
本研究提出了自行车或摩托车等两轮车辆的运动学和动力学模型。对两轮车辆的建模已经进行了多年的广泛研究,本文通过增加前轮与地平面精确接触补偿手柄操作的完整条件,推导出更精确的运动学模型。利用满足完整条件的拉格朗日方程以及后轮和前轮的五种非完整条件,推导了两轮车辆的动力学模型。给出了运动学运动和动力学运动的仿真结果
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引用次数: 3
Face Verification with Gabor Representation and Support Vector Machines 基于Gabor表示和支持向量机的人脸验证
Pub Date : 2007-03-27 DOI: 10.1109/AMS.2007.39
Yap Wooi Hen, M. Khalid, R. Yusof
This paper investigates the intrinsic ability of Gabor representation and support vector machines (SVM) in capturing discriminatory content for face verification task. The idea is to decompose a face image into different spatial frequencies (scales) and orientations where salient discriminant features may appear. Dimensionality reduction is adopted to create low dimensional feature vectors for more convenient processing. SVM is used to extract relevant information from this low dimensional training data in order to construct a robust client-specific classifier. This method has been tested with publicly available AT&T and BANCA datasets. In the BANCA experiments, it was observed that method consistently yields the lowest error rates in comparison with other methods for all seven test configurations. An equal error rate (EER) of 6.19% on the G configuration of BANCA dataset has been achieved
本文研究了Gabor表示和支持向量机(SVM)在人脸验证任务中捕捉歧视性内容的内在能力。其思想是将人脸图像分解成不同的空间频率(尺度)和方向,其中可能出现显著的判别特征。采用降维方法生成低维特征向量,便于处理。使用支持向量机从这些低维训练数据中提取相关信息,以构建鲁棒的客户端特定分类器。这种方法已经用公开可用的AT&T和BANCA数据集进行了测试。在BANCA实验中,可以观察到,在所有七种测试配置中,该方法与其他方法相比始终产生最低的错误率。在BANCA数据集的G配置上实现了6.19%的等错误率(EER)
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引用次数: 21
Neuro Fuzzy Classification and Detection Technique for Bioinformatics Problems 生物信息学问题的神经模糊分类与检测技术
Pub Date : 2007-03-27 DOI: 10.1109/AMS.2007.70
M. Othman, Thomas Moh Shan Yau
Bioinformatics is an emerging science and technology which has lots of research potential in the future. It involves multi-interdisciplinary approaches such as mathematics, physics, computer science and engineering, biology, and behavioral science. Computers are used to gather, store, analyze as well as integration of patterns and biological data information which can then be applied to discover new useful diagnosis or information. In this study, the focus was directed to the classification or clustering techniques which can be applied in the bioinformatics fields based on the Sugeno type neuro fuzzy model or ANFIS (adaptive neuro fuzzy inference system). It is very important to identify new integration of classification or clustering algorithm especially in neuro fuzzy domain as compared to conventional or traditional method. This paper explores the suitability and performance of recurrent classification technique, fuzzy c means (FCM) act as classifier in neuro fuzzy system compared to subclustering method. A package of software based on neuro fuzzy model (ANFIS) has been developed using MATLAB software and optimization were done with the help from WEKA. A set diabetes data based on real diagnosis of patient was used
生物信息学是一门新兴的科学技术,具有广阔的研究前景。它涉及多学科交叉的方法,如数学、物理、计算机科学与工程、生物学和行为科学。计算机被用来收集、存储、分析以及整合模式和生物数据信息,然后可以应用于发现新的有用的诊断或信息。本研究的重点是基于Sugeno型神经模糊模型或自适应神经模糊推理系统(ANFIS)的分类或聚类技术,这些技术可以应用于生物信息学领域。与传统或传统的方法相比,识别新的分类或聚类集成算法,特别是在神经模糊领域,显得尤为重要。本文探讨了递归分类技术的适用性和性能,与子聚类方法相比,模糊c均值(FCM)作为神经模糊系统的分类器。利用MATLAB软件开发了一套基于神经模糊模型(ANFIS)的软件,并利用WEKA软件进行了优化。采用一组基于患者真实诊断的糖尿病数据
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引用次数: 18
Text Mining in Radiological Data Records: An Unsupervised Neural Network Approach 放射数据记录中的文本挖掘:一种无监督神经网络方法
Pub Date : 2007-03-27 DOI: 10.1109/AMS.2007.101
W. Claster, S. Shanmuganathan, N. Ghotbi
The rapid growth in digitalized medical records presents new opportunities for coalescing terra bytes of data into information that could provide us with new knowledge. The knowledge discovered as such could assist medical practitioners in a myriad of ways, for example in selecting the optimal diagnostic tool from among many possible choices. We analyzed the radiology department records of children who had undergone a CT scanning procedure at Nagasaki University Hospital in the year 2004. We employed self organizing maps (SOM), an unsupervised neural network based text-mining technique for the analysis. This approach led to the identification of keywords within the narratives accompanying the medical records that could contribute to reduction of unnecessary CT requests by clinicians. This is important because overuse of medical radiation poses significant health risks to children in spite of the invaluable diagnostic capacity of such procedures
数字化医疗记录的快速增长为将100字节的数据合并为可以为我们提供新知识的信息提供了新的机会。这样发现的知识可以在许多方面帮助医疗从业者,例如从许多可能的选择中选择最佳的诊断工具。我们分析了2004年在长崎大学医院接受CT扫描的儿童的放射科记录。我们使用自组织地图(SOM),一种基于无监督神经网络的文本挖掘技术进行分析。这种方法可以识别病历叙述中的关键词,从而有助于减少临床医生提出的不必要的CT请求。这一点很重要,因为尽管医疗放射程序具有宝贵的诊断能力,但过度使用这种程序对儿童的健康构成重大风险
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引用次数: 4
期刊
First Asia International Conference on Modelling & Simulation (AMS'07)
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