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

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Automated Pepper Berries Classification with Edge Detection and Template Matching 具有边缘检测和模板匹配的自动胡椒浆果分类
B. Lau, T.K. Low
Pepper berries classification has been performed manually by human vision. Hence the procedure consumes a lot of manpower and time. This research discusses an application of computer vision to classify the peppercorn samples. We propose the use of edge detection and template matching from the real time gray scale images taken from the peppercorn samples. Color images and color detection is applied in this research as they consume large volume of CPU memory and reduce the classification speed in real time (Reece et al. 1998, Zou et al. 2007). The paper discusses the background of peppercorn feature classifications, followed by the peppercorn recognition algorithm, evaluation and results of the recognition.
胡椒浆果的分类一直是由人类视觉手动完成的。因此,该过程消耗了大量的人力和时间。本研究探讨了计算机视觉在胡椒样品分类中的应用。我们提出使用边缘检测和模板匹配的实时灰度图像从胡椒样品。本研究采用彩色图像和颜色检测,因为它们消耗大量CPU内存,降低了实时分类速度(Reece et al. 1998, Zou et al. 2007)。本文讨论了胡椒特征分类的背景,然后介绍了胡椒特征识别算法、评价和识别结果。
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引用次数: 3
Image Registration Method Based on Physical Forces for Color Images 基于物理力的彩色图像配准方法
Ali Ghayoor, Amin Sadri, A. Shirazi
A new method for image registration has been previously proposed by the authors, which the registration is based on physical forces. The registration parameters are translation and rotation. This method assumes images like charged materials that attract each other. In this case, one of the images moves in the same direction as the applied force while the other one is still. The movement of the image continues until the resultant force becomes zero. This approach estimates the registration parameters simultaneously and leading to a better optimized set of registration parameters. The previous work is presented for grayscale images, and in this paper we aim to develop this method for color images. The comparison of the results shows that the excess information which exists in color images can accelerate the registration process. Also, we find the optimum set of the parameters to improve the accuracy of the algorithm.
作者提出了一种基于物理力的图像配准方法。配准参数为平移和旋转。这种方法假设图像像带电材料一样相互吸引。在这种情况下,其中一个图像移动的方向与施加的力相同,而另一个是静止的。图像的运动一直持续到合力变为零。该方法可以同时估计配准参数,从而得到一组更好的优化配准参数。先前的工作是针对灰度图像提出的,而在本文中,我们的目标是将这种方法发展到彩色图像。结果表明,彩色图像中存在的多余信息可以加速配准过程。同时,我们找到了最优的参数集,以提高算法的精度。
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引用次数: 3
A New Intelligent Remote Control System for Home Automation and Reduce Energy Consumption 一种新型智能远程控制系统,实现家庭自动化,降低能耗
M. G. Golzar, HamidReza Tajozzakerin
This paper presents the design and implementation of an internet-based smart remote control system for home automation, dedicated to power management that adapts power consumption to available power resources according to user comfort and cost criteria. Sensors and home appliances are connected to the designed and implemented control panel and then they are monitored and controlled from every corner of the world through the Internet cloud. The system is scalable and allows additional appliances to be added to it with no major changes to its core. New communication format is proposed to enable communication between the control panel and the server as well. To verify the principle operation of the design, some home applications are experimentally tested. Experimental results show the efficiency and accuracy of proposed intelligent control system in terms of energy saving and being user friendly.
本文介绍了一种基于互联网的家庭自动化智能远程控制系统的设计和实现,该系统致力于电源管理,根据用户的舒适度和成本标准,根据可用的电源资源调整功耗。传感器和家用电器连接到设计和实现的控制面板上,然后通过互联网云从世界各个角落对其进行监控和控制。该系统是可扩展的,并且允许在不对其核心进行重大更改的情况下向其添加其他设备。提出了新的通信格式,以实现控制面板和服务器之间的通信。为了验证设计的原理和工作原理,对一些家庭应用进行了实验测试。实验结果表明,所提出的智能控制系统在节能和用户友好性方面具有较高的效率和准确性。
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引用次数: 52
Empirical Study for Communication Cost of Parallel Conjugate Gradient on a Star-Based Network 星型网络中并行共轭梯度通信代价的实证研究
L. Ismail, K. Shuaib
Conjugate Gradient is an iterative linear solver that is used in many scientific and engineering applications to solve a system of linear equations. However, Conjugate Gradient generates a heavy load of computation and therefore it slows the performance of the applications using it. In this paper, we conduct an empirical cost study of a parallel CG on our star-based network. We evaluate the communication overhead involved by a parallel CG. In particular, we derive network parameters; the Maximum Transfer Unit (MTU), that can contribute to the optimization of communication cost and to the reduction of the waiting overhead of the parallel algorithm.
共轭梯度是一种迭代线性求解器,在许多科学和工程应用中用于求解线性方程组。然而,共轭梯度产生了沉重的计算负荷,因此它降低了应用程序的性能。在本文中,我们对基于星型网络的并行CG的成本进行了实证研究。我们评估了并行CG所涉及的通信开销。特别地,我们推导了网络参数;最大传输单元(Maximum Transfer Unit, MTU),这有助于优化通信成本,减少并行算法的等待开销。
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引用次数: 5
Protocols for Getting Maximum Value for Multi-Party Computations 多方计算的最大值获取协议
Rashid Sheikh, D. Mishra
In today’s distributed computing environment multiple parties compute some function of their private inputs. In such a scenario privacy preservation of such inputs is a matter of great concern because each party is also worried about the privacy of their inputs. This subject is evolved as Secure Multiparty Computation (SMC). The protocols proposed in this paper allow multiple parties to get maximum of their inputs without disclosing individual inputs to one another or even to any third party. We use a third party for computation that may not be trusted. The protocol uses binary countdown approach. In one of the protocols anonymizers are used to hide the identity of the party. The probabilistic analysis of the protocols is presented.
在当今的分布式计算环境中,多方计算其私有输入的某些函数。在这种情况下,这些输入的隐私保护是一个非常值得关注的问题,因为每一方也担心他们输入的隐私。这门学科后来发展为安全多方计算(SMC)。本文提出的协议允许多方在不向彼此甚至任何第三方披露个人输入的情况下获得最大的输入。我们使用可能不可信的第三方进行计算。协议采用二进制倒计时方式。在其中一个协议中,匿名器被用来隐藏当事人的身份。给出了协议的概率分析。
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引用次数: 10
PID Control of Knee Extension for FES-Assisted Walking with Spring Brake Orthosis 弹簧制动矫形器辅助fes行走膝关节伸展的PID控制
R. Jailani, M. Tokhi, S. Gharooni, Z. Hussain
This paper presents a simulation of bipedal locomotion to control the stimulation pulses of functional electrical stimulation (FES) for activating muscles for paraplegic walking with spring brake orthosis (SBO). The work is a first effort towards restoring natural like swing phase in paraplegic gait through a new hybrid orthosis, referred to as spring brake orthosis (SBO). This mechanism simplifies the control task and results in smooth motion and more-natural like trajectory produced by the flexion reflex for gait in spinal cord injured subjects. The study is carried out with a model of humanoid with wheel walker using the Visual Nastran (Vn4D) dynamic simulation software. Stimulated muscle model of quadriceps is developed for knee extension. Proportional integral derivative (PID) control is developed in Matlab/Simulink to regulate the muscle stimulation pulse-width required to drive FES-assisted walking gait and the computed motion is visualised in graphic animation from Vn4D. The results show that SBO can reduce torque and stimulation pulses required for FES-assisted paraplegic walking with wheel walker and PID control is found to be appropriate controller for the leg extension.
为控制功能电刺激(FES)的刺激脉冲,模拟两足运动,以激活瘫痪行走用弹簧制动矫形器(SBO)的肌肉。这项工作是通过一种新的混合矫形器,即弹簧制动矫形器(SBO),首次尝试恢复截瘫患者步态的自然摆动阶段。该机制简化了脊髓损伤受试者的控制任务,使其步态弯曲反射产生的运动更平滑,轨迹更自然。采用visualnastran (Vn4D)动态仿真软件对带轮式步行器的仿人机器人模型进行了研究。建立了股四头肌受刺激的膝关节伸展肌肉模型。比例积分导数(PID)控制在Matlab/Simulink中开发,以调节驱动fes辅助步行步态所需的肌肉刺激脉宽,计算的运动在Vn4D的图形动画中可视化。结果表明,SBO能有效降低fes辅助下肢行走所需的转矩和刺激脉冲,PID控制是理想的伸腿控制器。
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引用次数: 4
Simultaneous Input Selection and Hidden Nodes Optimization for Sunspot Time Series Prediction 太阳黑子时间序列预测的同步输入选择和隐节点优化
F. Ahmad, N. A. Mat-Isa, Z. Hussain
Artificial Neural Network (ANN) is a popular computational intelligence technique in many applications. However, the performance depends on appropriate structure design and considered as a difficult task. Until now, there is no standard procedure in designing an optimal ANN. Two important issues in designing ANN are the selection of significant input subset and hidden nodes size. In this paper, binary coded Genetic Algorithm (GA) has been used to simultaneously select the significant input to ANN and automatically determine the optimal number of hidden nodes. The goal is to obtain optimal ANN design in term of prediction accuracy and complexity. The performances with and without input selection are compared. The proposed method is applied on the prediction of benchmark sunspot time series.
人工神经网络(ANN)是一种广泛应用的计算智能技术。然而,性能取决于适当的结构设计,被认为是一项艰巨的任务。到目前为止,设计最优人工神经网络还没有标准的程序。人工神经网络设计中的两个重要问题是有效输入子集的选择和隐藏节点的大小。本文采用二进制编码遗传算法(GA),在选择神经网络有效输入的同时,自动确定最优隐藏节点数。目标是在预测精度和复杂度方面获得最优的人工神经网络设计。比较了有输入选择和无输入选择的性能。将该方法应用于基准太阳黑子时间序列的预测。
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引用次数: 1
Flow Time Analysis of an Early Arrival System Using Discrete-Time Hypogeometrical Distribution 基于离散时间拟几何分布的早到系统流时间分析
A. Shah, W. Shah, S. Soomro, A. Memon, A. Bouk, Mushtaque Ahmed Korai
Evaluation of flow time and service process of a queuing systems is a very special and powerful concept to analyze the flow time of any arriving data packet at any point of the system. In this paper, we construct and demonstrate the flow process and service process transition diagram to determine the flow time of a data packet in an early arrival finite discrete-time queueing system where arriving data packets are hypogeometrically distributed. We compute the probabilities of all starting states where a data packet can possibly enters and its flow process begins. We validated the obtained analytical results, for probability mass function of each starting state and total probability mass function, with simulation results.
排队系统的流时间和服务过程的评估是一个非常特殊和强大的概念,用于分析任何到达系统任何点的数据包的流时间。本文构造并论证了在到达的数据包呈次几何分布的有限离散时间排队系统中,确定数据包流时间的流过程和业务过程转换图。我们计算了数据包可能进入的所有起始状态的概率,以及它的流过程开始的概率。我们用仿真结果验证了得到的分析结果,对各个启动状态的概率质量函数和总概率质量函数进行了验证。
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引用次数: 2
A Generic Model, and its Validation, for the Translational Systematic Errors in Synchronous Drive Robots 同步驱动机器人平移系统误差的通用模型及其验证
Munir Zaman, I. Liao
Abstract—Synchronous Drive Robots (SDR) are seeing increasing use as service robots in dynamic environments. Due to the changing scenery in dynamic environments, the accuracy of proprioceptive sensors such as odometry is of greater importance. This paper proposes a generic kinematic model for the translational systematic odometry error in an n-wheeled SDR (n¸3). An unexpected behaviour of SDR is the curved path when commanded to translate, which varies with wheel orientation (which changes when commanded to rotate.) This is caused by the traction force of each wheel around the centre of mass of the robot acting as a moment. There is a further odometry error due to wheel misalignment, which does not affect the path curvature, but creates a yaw. Compared to existing works, the proposed model is explicitly validated in the instance of a 3-wheeled SDR.
同步驱动机器人(SDR)作为服务机器人在动态环境中的应用越来越广泛。由于动态环境中的景物不断变化,本体感觉传感器(如里程计)的准确性变得更加重要。本文提出了n轮SDR平动系统里程误差的一般运动学模型(n, 3)。SDR的一个意想不到的行为是当命令平移时弯曲的路径,它随车轮方向而变化(当命令旋转时改变)。这是由每个轮子围绕机器人质心的牵引力引起的。还有一个进一步的里程计误差由于车轮不对准,这并不影响路径曲率,但产生偏航。与已有的研究成果相比,本文提出的模型在三轮SDR的实例中得到了明确的验证。
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引用次数: 2
A Novel Approach for Fingerprint Matching Using Minutiae 一种基于细节的指纹匹配新方法
Ashwini R. Patil, M. Zaveri
Fingerprint recognition is one of the most important challenging tasks of the biometrics identification due to the fact that they are easy to obtain and most importantly they are reliable. A number of pattern recognition methods have been used to perform fingerprint matching. Among such methods fingerprint matching based on minutia features is one of the researched problems. So we proposed effective fingerprint matching algorithm based on feature extraction. Also we have presented a novel fingerprint recognition technique for minutia extraction and a minutia matching. For minutia marking we considered one special false minutiae removal method and for minutiae matching we considered alignment based method. Experimental results show that this method achieves a much better matching performance.
指纹识别是生物特征识别中最具挑战性的任务之一,因为指纹容易获取,最重要的是指纹的可靠性。许多模式识别方法已被用于执行指纹匹配。其中,基于细节特征的指纹匹配是目前研究的问题之一。为此,提出了一种有效的基于特征提取的指纹匹配算法。提出了一种新的指纹特征提取和特征匹配技术。对于细节标记,我们考虑了一种特殊的伪细节去除方法,对于细节匹配,我们考虑了基于对齐的方法。实验结果表明,该方法具有较好的匹配性能。
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引用次数: 16
期刊
2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation
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