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2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation最新文献

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Neuro Modelling of Flexible Plate Structure Rig for Development of Active Vibration Control Algorithm 柔性板结构钻机的神经建模及振动主动控制算法研究
I. Darus, A. Al-Khafaji, M. F. Jamid
This paper presents an investigation into the performance of system identification using Backpropagation Multi-layer Perceptron Neural Networks algorithm for identification of a flexible plate system. Details of the implementation and the experimental studies are given and analyzed in the paper. The input-output data of the system were first acquired through the experimental studies using National Instrumentation (NI) data acquisition system. A sinusoidal force was then applied to excite the flexible plate and the dynamic response of the system was investigated. A linear parametric model of the system is developed using Recursive Least Square (RLS). Furthermore, a non-parametric model of the system is developed using Multi-layer Perceptron Neural Networks (MLP-NN). Later a comparative performance of the approaches used is presented and discussed. Finally, the validity of the obtained model was investigated using correlation tests.
本文研究了用反向传播多层感知器神经网络算法对柔性板系统进行辨识的性能。文中给出了具体的实现过程和实验研究,并进行了分析。首先利用NI数据采集系统进行实验研究,获取系统的输入输出数据。利用正弦力对柔性板进行激励,研究了系统的动态响应。利用递推最小二乘法建立了系统的线性参数化模型。此外,利用多层感知器神经网络(MLP-NN)建立了系统的非参数模型。随后,提出并讨论了所使用方法的比较性能。最后,利用相关检验对所得模型的有效性进行了检验。
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引用次数: 5
Classification of Rubber Tree Leaf Disease Using Spectrometer 橡胶树叶片病害分类学研究
H. Hashim, M. A. Haron, F. N. Osman, S. Junid
In this paper, the classification of five types of rubber leaf disease by using the spectrometer and SPSS are presented. There are five of leaf disease that have been used as samples which are Oidium secondary leaf fall, Fusicoccum Leaf Blight, Bird eye’s spot and Anthracnose. The reflectance of the infected leaves sample is measured by using MCS600 Carl Zeiss spectrometer. Besides, Aspect Plus, a universal spectroscopy program from Zeiss manages to measure the spectral regions of the leaves sample. Further analysis and justification are completed by using approximate statistical tools from SPSS. The results obtained show that there are strong evidences that these diseases can be discriminated from each other using a spectrometer.
本文介绍了利用分光仪和SPSS软件对5种橡胶叶病进行分类的方法。作为样本的叶病有五种,分别是黄叶次生落叶病、镰刀菌叶枯病、鸟眼病和炭疽病。利用MCS600卡尔蔡司光谱仪测量了染病叶片样品的反射率。此外,来自蔡司的通用光谱程序Aspect Plus能够测量叶片样品的光谱区域。进一步的分析和论证是通过使用SPSS的近似统计工具完成的。结果表明,有强有力的证据表明,这些疾病可以用光谱仪区分开来。
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引用次数: 22
Optimization of DNA Sequences Data to Accelerate DNA Sequence Alignment on FPGA 基于FPGA的DNA序列数据优化加速DNA序列比对
S. Junid, M. A. Haron, Z. Majid, F. N. Osman, H. Hashim, M. Idros, M.R. Dohad
This paper presents the design and development of high performance accelerating and optimization technique for accelerate the process of DNA sequences alignment. The scope of the paper focuses on memory and speed optimization by optimizing and mapping the DNA sequences data before alignment. This optimization technique is designed based on novel data compression technique in optimizing the numbers of data transmitted from computer to DNA sequences alignment accelerator. Consequently, the numbers of data per serial data transmission for alignment can be optimize and accelerate up to 400% greater than conventional DNA sequences alignment accelerator system. This technique has been design and implemented on hardware based acceleration device and targeted to Altera Cyclone II 2C70 FPGA and using 50MHz oscillator for clock source. The code is written in verilog HDL syntax using Quartus 2 version 7.2 and the simulation is verified using Quartus 2 version 7.2 simulator tools. As a result, the theoretical analysis, simulation and implementation result based on development and implementation of the proposed design on FPGA are presented and well organized in this paper. The comparative study based on theoretical, simulation and implementation results of this technique has been made to accomplish result of analysis.
本文介绍了一种用于加速DNA序列比对过程的高性能加速与优化技术的设计与开发。本文的范围侧重于内存和速度优化,通过优化和绘制DNA序列数据比对前。该优化技术是基于一种新的数据压缩技术来优化从计算机传输到DNA序列比对加速器的数据量。因此,用于比对的每个串行数据传输的数据数量可以优化和加速高达400%大于传统的DNA序列比对加速器系统。针对Altera Cyclone II 2C70 FPGA,采用50MHz振荡器作为时钟源,在硬件加速器件上设计并实现了该技术。该代码使用Quartus 2 version 7.2以verilog HDL语法编写,并使用Quartus 2 version 7.2模拟器工具进行仿真验证。因此,本文给出了基于FPGA开发和实现的理论分析、仿真和实现结果。对该技术的理论、仿真和实现结果进行了对比研究,得出了分析结果。
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引用次数: 11
Incidence of Market Crisis on Decision Makers' Strategies: An Analysis at the Managerial Level 市场危机对决策者战略的影响:管理层的分析
M. Remondino, M. Pironti, R. Schiesari
In environmental crisis enterprises’ propensity to collaborate plays a crucial role. To understand the adoption of collaborative systems, it is of great importance to know about economical effects of collaboration itself. Decision makers should be able to evaluate potential drawbacks and advantages of collaboration: strategies may be seen as a mixture of cost reduction, product differentiation and improvement of decision making and/or planning. In this context information technology may help a firm to create sustaining competitive advantages over competitors. The most important factors affecting benefits of collaboration are market structure, kind and degree of uncertainty faced by the firms, their risk preferences and the collaboration propensity. We present a microeconomic model and use techniques from game theory for the analysis. A new paradigm is formally introduced, taking into account human factor, to see how biased agents can influence the aggregate behaviour within an economic environment.
在环境危机中,企业的合作倾向起着至关重要的作用。为了理解协作系统的采用,了解协作本身的经济效应是非常重要的。决策者应该能够评估协作的潜在缺点和优点:战略可以被视为降低成本、产品差异化和改进决策制定和/或计划的混合。在这种情况下,信息技术可以帮助企业创造相对于竞争对手的持续竞争优势。市场结构、企业所面临的不确定性种类和程度、企业的风险偏好和企业的合作倾向是影响企业合作收益的最重要因素。我们提出了一个微观经济模型,并使用博弈论的技术进行分析。正式引入了一种新的范式,考虑到人为因素,以了解有偏见的主体如何影响经济环境中的总体行为。
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引用次数: 0
Categorization of Human Movement Based on Rule-Based Classifier 基于规则分类器的人体运动分类
Behnam Hosseini, Saeed Vahabi Mashak, S. Abu-Bakar
Human activity recognition is an active research field in computer vision and image processing. This paper has been concentrated on the recognition between different cyclic motion activities such as running and walking. The proposed system consists of three major steps. Initially by using a single camera, in a variety of angles, the movement of the object is detected, and object silhouette is generated in each frame. Then, our proposed method for generating a skeleton of silhouette is presented. The skeleton is used to determine human activities such as running and walking. In the last stage, a rule-based classifier is used to classify the action.
人体活动识别是计算机视觉和图像处理领域的一个活跃研究领域。本文主要研究跑步和步行等不同循环运动的识别问题。拟议的系统包括三个主要步骤。最初通过使用单个摄像机,在各种角度检测物体的运动,并在每帧中生成物体轮廓。然后,提出了生成轮廓骨架的方法。骨骼被用来确定人类的活动,比如跑步和走路。在最后阶段,使用基于规则的分类器对动作进行分类。
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引用次数: 7
A Review on Data Envelopment Analysis (DEA) 数据包络分析(DEA)综述
Chuen Tse Kuah, K. Wong, Farzad Behrouzi
This paper is a review paper focusing on the methodological development of Data Envelopment Analysis (DEA), a multi-factor performance measurement and improvement tool. Since its introduction in 1978, vast studies have been done on DEA, causing significant growth in its methodology and applications in the real world. The purpose of this paper is to provide a general introduction to DEA. The basic DEA models and some important methodological extensions of DEA, such as multilevel DEA models, stochastic DEA models, and fuzzy DEA models, are discussed in the paper. In addition, some current and future research trends are highlighted.
本文是一篇关于数据包络分析(DEA)方法发展的综述性论文,DEA是一种多因素绩效测量和改进工具。自1978年引入DEA以来,对其进行了大量的研究,使其方法论和在现实世界中的应用得到了显著的发展。本文的目的是提供一个DEA的一般介绍。本文讨论了DEA的基本模型及其在方法上的一些重要扩展,如多层DEA模型、随机DEA模型和模糊DEA模型。并对当前和未来的研究趋势进行了展望。
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引用次数: 32
Identification and Modeling of Environmental Climates Inside Naturally Ventilated Tropical Greenhouse 热带自然通风温室内环境气候的识别与模拟
Saiful Farhan M. Samsuri, R. Ahmad, Mohamed Hussein, A. Rahim
This paper focuses on modeling and identification of environmental climates inside naturally ventilated tropical greenhouse (NVTG). The NVTG climate model is an essential tool for developing the climate control system. A real-time wireless monitoring system for measuring prototyped NVTG environmental climates for chili plantation was developed. The variables to estimate the NVTG outputs variables namely internal relative humidity and internal temperature are external temperature, external humidity, irradiance, and wind speed. Modeling based on mathematical equation as well as using system identification (SI) technique is outlined. The paper also highlights on SI procedure namely data acquisition, identified model structure that represents NVTG using NARX and ARX model structures, parameter estimation technique, and model validation. Simulation studies reveal that linear and nonlinear polynomial models are able to model and simulate the NVTG performance.
本文主要研究了热带自然通风温室(NVTG)内环境气候的建模与识别。NVTG气候模式是开发气候控制系统的重要工具。研制了一种用于辣椒种植NVTG环境气候测量的实时无线监测系统。估算NVTG输出变量即内部相对湿度和内部温度的变量是外部温度、外部湿度、辐照度和风速。概述了基于数学方程和系统识别(SI)技术的建模。本文还重点介绍了SI过程,即数据采集,使用NARX和ARX模型结构识别代表NVTG的模型结构,参数估计技术和模型验证。仿真研究表明,线性和非线性多项式模型都可以对NVTG的性能进行建模和仿真。
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引用次数: 1
Designing Switching System for AC Powered Appliances Using Microcontroller 用单片机设计交流电器开关系统
R. Singh, B. Singh, A. F. T. Ibrahim, L. Chuan
This paper describes the first phase of the development process of this project. There are two phases involve in this research work. In the first phase, PROTUES simulation tools were used to design, study and analyze the proposed research work. Results from the simulation will be use as reference to re-design and develop the real-time hardware-based system. In the second phase, the hardware will be developed based on the study and analysis carried out in the first phase. The developed hardware will be integrated to a stand-alone source powered via photovoltaic technology. This will be an added advantage to this system because it will be able to operate without having to connect to the electrical network system. Furthermore, the system is integrated to light dependent resistance and negative temperature coefficient sensors to automatically operate the system based on the sensors characteristics.
本文描述了该项目的第一阶段开发过程。本研究工作分为两个阶段。第一阶段,利用PROTUES仿真工具对拟开展的研究工作进行设计、研究和分析。仿真结果将为重新设计和开发基于硬件的实时系统提供参考。在第二阶段,硬件将基于第一阶段的研究和分析进行开发。开发的硬件将集成到通过光伏技术供电的独立电源中。这将是该系统的一个额外优势,因为它可以在不连接到电网系统的情况下运行。此外,该系统集成了光相关电阻和负温度系数传感器,根据传感器的特性自动运行系统。
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引用次数: 0
Practical Physics Applications - Web Service for Simulating 实用物理应用-用于模拟的Web服务
E. Isbasoiu, Madalin Preotesescu
It is essential the contribution of the physics for the society development. People always try to make things which help them have a better life. The great discoveries were realized with empirical methods, but nowadays the technology of the information, which seems to be one of the most efficient methods, is used not only in physics, but also in other research fields. The created web service connects the informatics technology with the physics. The simulation bases on the numerical calculation. Its purpose is to present some specific cases and practical applications for a collection of less frequent phenomena, by using the Java language.
物理学对社会发展的贡献是必不可少的。人们总是试图做一些能帮助他们过上更好生活的事情。伟大的发现是用经验方法实现的,但如今,信息技术似乎是最有效的方法之一,不仅用于物理学,而且用于其他研究领域。所创建的web服务将信息学技术与物理学联系起来。仿真是在数值计算的基础上进行的。其目的是通过使用Java语言,为一组不太常见的现象提供一些特定的案例和实际应用程序。
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引用次数: 0
Ensemble Dual Recursive Learning Algorithms for Identifying Custom Tanks Flow with Leakage 集成双递归学习算法用于识别带有泄漏的定制罐流
A. bin Md Akib, N. bin Saad, V. Asirvadam
In industrial process, pipes and tank may leak and sensors may have biased since corrosion, measuring noise and instrument faults exist. In order to maintain production and to prevent accident from happen it is crucial to develop reliable method of analyses of flammable gas release and dispersion. Relative mass release of the leakage is introduced as the input for the simulation model and the data from the simulation model is taken at real time (on-line) to feed into the recursive algorithms. The objective of this paper is to introduce a combination of advantages of different algorithm scheme into one learning algorithm. For this purpose, three models is developed, first using recursive least square algorithm (RLS), second using recursive instrument variable (RIV) algorithm and lastly using combination of this two algorithms. This paper proposed that, combination of two algorithms into one learning algorithm for predicting mass flow rate of a flow with leakage resulting in a better mass prediction error as compared to a model with single learning algorithm.
在工业生产过程中,由于腐蚀、测量噪声和仪表故障等原因,管道和储罐可能发生泄漏,传感器可能出现偏差。为了维持生产,防止事故的发生,建立可靠的可燃气体释放和扩散分析方法至关重要。将泄漏的相对质量释放量作为仿真模型的输入,实时(在线)获取仿真模型的数据,并将其输入递归算法。本文的目的是将不同算法方案的优点结合到一个学习算法中。为此,建立了三种模型,一种是递归最小二乘算法(RLS),第二种是递归工具变量(RIV)算法,最后是这两种算法的结合。本文提出将两种算法结合为一种学习算法来预测泄漏流的质量流量,与单一学习算法的模型相比,质量预测误差更大。
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引用次数: 2
期刊
2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation
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