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2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications最新文献

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Optimizing Humanoid Motions Using Recursive Dynamics and Lie Groups 利用递归动力学和李群优化类人运动
W. Suleiman, E. Yoshida, J. Laumond, A. Monin
In this paper, we present a recursive method for the optimization of humanoid robot motions. The method is based on an efficient dynamics algorithm, which allows the calculation of the gradient function with respect to the control parameters analytically. The algorithm makes use of the theory of Lie groups and Lie algebra. The main objective of this method is to smooth the pre-calculated humanoid motions by minimizing the efforts, and at the same time improving the stability of the humanoid robot during the execution of the planned tasks. Experimental results using HRP-2 platform are provided to validate the proposed method.
本文提出了一种求解类人机器人运动优化的递归方法。该方法基于一种有效的动力学算法,可以解析地计算关于控制参数的梯度函数。该算法利用了李群理论和李代数理论。该方法的主要目标是使预先计算的类人运动平滑化,同时提高类人机器人在执行计划任务过程中的稳定性。在HRP-2平台上的实验结果验证了该方法的有效性。
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引用次数: 11
Modification of Cosh Window Family Cosh窗口族的修改
K. Avci, A. Nacaroglu
In this study, 2-parameter cosh window is modified to improve its spectral characteristic in terms of the ripple ratio by proposing a new additional parameter. It is observed that an increase in the new parameter results in wider mainlobe width and smaller ripple ratio. By choosing the suitable combinations of the two adjustable parameters for the proposed modified window, the optimum windows that yield the minimum ripple ratio for N=51 and N=101 are found. The simulation results with the comparisons to Kaiser and cosh windows for a wide range of the normalized width demonstrate that with the proposed additional parameter an efficient improvement in the spectral characteristic of cosh window in terms of the ripple ratio is obtained. Also, two specific comparison examples are given to show the performance of the proposed modified window. In the first example, it is concluded that the proposed window performs the same ripple ratio and mainlobe width by using less window coefficients compared to Kaiser and cosh windows. The second example demonstrates that using the suitable adjustable parameters, the proposed modified cosh window can perform good results in terms of the ripple ratio and contrast ratio compared to the windows in the literature.
在本研究中,通过提出一个新的附加参数,对双参数cosh窗口进行了改进,以改善其在纹波比方面的频谱特性。结果表明,新参数的增大使主瓣宽度增大,纹波比减小。通过对所提出的改进窗口选择两个可调参数的合适组合,找到了N=51和N=101时产生最小纹波比的最佳窗口。在较大的归一化宽度范围内,与Kaiser窗和cosh窗的仿真结果进行了比较,结果表明,采用所提出的附加参数可以有效地改善cosh窗在纹波比方面的频谱特性。最后,给出了两个具体的对比算例来说明所提出的改进窗口的性能。在第一个例子中,我们得出结论,与Kaiser和cosh窗口相比,所提出的窗口使用较少的窗口系数,具有相同的纹波比和主瓣宽度。第二个例子表明,使用合适的可调参数,与文献中的窗口相比,所提出的改进cosh窗口在纹波比和对比度方面具有良好的效果。
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引用次数: 14
Harnessing University-Industry Collaboration in Malaysia through Industrial Training 通过工业培训利用马来西亚的大学-工业合作
S. N. Junaini, Seyed Fadzir, J. Sidi, M. Khiri, R.M. Othman
As Malaysia is rapidly growing in terms of the advancement of science and technology, unprecedented demand for better graduates has been created. However, industry often criticizes that existing university curricula fall short to tackle the practical issues in the industry. For instance, the industry expects the university to train their future employees with the latest technology. In this paper, we propose a smart synergy model to overcome the above-mentioned mismatch. Our hypothesis is that there are the needs for well-expressed and smart connectivity between academia and the industry. This paper highlights strategies to abolish the misalignment between university and industry. Our main concept is to blend the academic rigidity with the industrial relevance. First we analyzed the trend of university-industry partnership in Malaysia. We report the success story and issues behind the industrial training program at the Faculty of Computer Science and Information Technology, University Malaysia Sarawak.
随着马来西亚在科技进步方面的快速发展,对优秀毕业生的需求前所未有。然而,业界经常批评现有的大学课程不足以解决该行业的实际问题。例如,该行业希望大学用最新技术培训他们未来的员工。在本文中,我们提出了一个智能协同模型来克服上述不匹配。我们的假设是,学术界和产业界之间需要良好表达和智能连接。本文着重提出了消除校企错位的对策。我们的主要理念是将学术刚性与工业相关性相结合。首先,我们分析了马来西亚校企合作的发展趋势。我们报告了马来西亚沙捞越大学计算机科学与信息技术学院工业培训计划的成功故事和背后的问题。
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引用次数: 10
Evaluation of Multi-Agent Systems: The case of Interaction 多智能体系统的评价:以交互为例
H. Joumaa, Y. Demazeau, Jean-Marc Vincent LIG-IMAG
This paper deals with the evaluation of Multi-Agent Systems (MAS) at the level of their interaction. Two problems that may be a bias in the evaluation and measurement of interaction are discussed. The first one is the difference between the quantities of information carried by a unit of interaction in two systems having different architectures. The second one concerns the interaction units that are received and cannot be exploited by the agent. In this work, an evaluation based on the weight of the information brought by an interaction is suggested. In order to achieve this, a MAS model, on which the evaluation is based, is defined. Then, the different problems and solutions which will help to evaluate the interaction are studied. Finally, the approach is applied on two different implementations that solve the same problem.
本文讨论了多智能体系统(MAS)在交互层面的评价问题。讨论了在评价和测量相互作用时可能存在偏差的两个问题。第一个是具有不同体系结构的两个系统中一个交互单元所携带的信息量之间的差异。第二个问题涉及代理接收到的且不能被利用的交互单元。在这项工作中,提出了一种基于交互带来的信息权重的评估方法。为了实现这一点,定义了评估所基于的MAS模型。然后,研究了有助于评估相互作用的不同问题和解决方案。最后,将该方法应用于解决相同问题的两个不同实现。
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引用次数: 17
MRI Segmentation Using Fuzzy C-means Clustering Algorithm Basis Neural Network 基于神经网络的模糊c均值聚类算法的MRI分割
P. M. Birgani, M. Ashtiyani, S. Asadi
The advantages of magnetic resonance imaging (MRI) over other diagnostic image modalities are its high spatial resolution and excellent discrimination of soft tissues. Many neurological conditions alter the shape, volume, and distribution of brain tissue; MRI is the preferred imaging modality for examining these conditions which requires segmentation into different intensity classes which are regarded as the best available representations for biological tissues. There is a need for computer analysis of MRI such as precise delineation of tumors and reliable, reproducible segmentation of images. The aim of this work is to propose a FCM clustering algorithm basis neural network for MRI segmentation.
磁共振成像(MRI)相对于其他诊断图像方式的优点是其高空间分辨率和对软组织的良好识别。许多神经系统疾病会改变脑组织的形状、体积和分布;MRI是检查这些条件的首选成像方式,这些条件需要分割成不同的强度类别,这些强度类别被认为是生物组织的最佳可用表示。有必要对MRI进行计算机分析,如肿瘤的精确描绘和可靠的,可重复的图像分割。本文的目的是提出一种基于神经网络的FCM聚类算法用于MRI分割。
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引用次数: 46
Learning Contents integrity verification on E-Learning Systems Using Digital Watermarking Technique 基于数字水印技术的电子学习系统学习内容完整性验证
Z. Sajjadi, A.A. Khodami, N. Modiri
One of important issues in e-learning world is content integrity. The ability to detect changes in learning contents has been very important for many applications. Content authentication has therefore been one of the most important issues in the e-learning world.
电子学习领域的一个重要问题是内容完整性。对于许多应用程序来说,检测学习内容变化的能力非常重要。因此,内容认证已成为电子学习领域中最重要的问题之一。
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引用次数: 4
Machine Vision System for Automatic Weeding Strategy in Oil Palm Plantation using Image Filtering Technique 基于图像滤波技术的油棕种植园自动除草机器视觉系统
K. Ghazali, S. Razali, M. Mustafa, A. Hussain
Machine vision is an application of computer vision to automate conventional work in industry, manufacturing or any other field. Nowadays, people in agriculture industry have embarked into research on implementation of engineering technology in their farming activities. One of the precision farming activities that involve machine vision system is automatic weeding strategy. Automatic weeding strategy in oil palm plantation could minimize the volume of herbicides that is sprayed to the fields. This paper discusses an automatic weeding strategy in oil palm plantation using machine vision system for the detection and differential spraying of weeds. The implementation of vision system involved the used of image processing technique to analyze weed images in order to recognized and distinguished its types. Image filtering technique has been used to process the images as well as a feature extraction method to classify the type of weed images. As a result, the image processing technique contributes a promising result of classification to be implemented in machine vision system for automated weeding strategy.
机器视觉是计算机视觉在工业、制造业或任何其他领域实现传统工作自动化的一种应用。目前,农业界已经开始着手研究工程技术在农业生产中的应用。自动除草是涉及机器视觉系统的精准农业活动之一。油棕种植园的自动除草策略可以最大限度地减少喷洒到田地的除草剂量。本文讨论了一种利用机器视觉系统对油棕种植园的杂草进行检测和鉴别喷洒的自动除草策略。视觉系统的实现涉及到利用图像处理技术对杂草图像进行分析,以识别和区分杂草的类型。采用图像滤波技术对图像进行处理,并采用特征提取方法对杂草图像进行分类。因此,图像处理技术为实现自动除草策略的机器视觉系统分类提供了良好的结果。
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引用次数: 28
FPFQ: A Low Complexity Fair Queueing Algorithm for Broadband Networks FPFQ:一种用于宽带网络的低复杂度公平排队算法
H. Halabian, H. Saidi
A traffic scheduling algorithm based on the RPS model called FPFQ is proposed. In FPFQ, the result of finishing potentials sorting algorithm is used for recalibration of the system potential function. This reduces the system potential function complexity to O(l) while its fairness index is still comparable to that of SFPQ and WFQ. Analytical methods are invoked to show the effectiveness of FPFQ in terms of Delay bound and fairness index.
提出了一种基于RPS模型的交通调度算法FPFQ。在FPFQ中,利用精加工电位排序算法的结果对系统电位函数进行重新标定。这将系统的潜在函数复杂度降低到0 (l),而其公平性指数仍可与SFPQ和WFQ相媲美。利用分析方法从延迟界和公平性指标两方面证明了FPFQ的有效性。
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引用次数: 8
The Architecture and the Design of a Pilgrim Tracking System 朝圣者跟踪系统的结构与设计
A. Touir, A. Al-Owaisheg, H. Mathkour
In this paper, we describe a Pilgrim tracking system. It is a distributed system that is composed of several components. The system is divided into two parts: The network infrastructure part and the application part. The focus of this paper is on the application part where the design and the architecture are highlighted. The proposed system is intended to make it possible: to collect the exact statistics of the pilgrims and the manner they are dispersed, to provide for locating lost or disoriented pilgrims, to help perform quick re-location of pilgrims, and to assist the pilgrims to locate their family members and helping units. It maintains various databases that dynamically interact to keep track of the desired data. The system has been fully implemented supporting a universal interface to make it possible to communicate with other pertinent systems that respect standard communication protocol.
本文描述了一种朝圣者跟踪系统。它是一个由几个组件组成的分布式系统。系统分为两部分:网络基础设施部分和应用部分。本文的重点是应用部分,重点是设计和体系结构。拟议的系统旨在使以下工作成为可能:收集朝圣者的确切统计数字和他们分散的方式,为找到迷路或迷失方向的朝圣者提供帮助,帮助快速重新定位朝圣者,并协助朝圣者找到他们的家人和帮助单位。它维护各种动态交互的数据库,以跟踪所需的数据。该系统已完全实现,支持通用接口,使其能够与尊重标准通信协议的其他相关系统进行通信。
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引用次数: 5
A Novel Content Image Retrieval Method Based on Contourlet 一种基于Contourlet的内容图像检索方法
R. Romdhane, H. Mahersia, K. Hamrouni
Content-based image retrieval is an active and fast advancing research area since the 1990s as a result of advances in the Internet and new digital image sensor technologies. However, many challenging research problems continue to attract researchers from multiple disciplines. Content-based image retrieval uses the visual contents of an image as features to represent and index the image to be searched from large scale image databases. The quality of the selected features relies mainly on the degree of the invariance property that is ensured under acceptable manipulations. This paper proposes an efficient method for compactly representing color and texture features and combining them for image retrieval. The performance of retrieval based on these compact descriptors obtained by the proposed techniques is analyzed and tested on wang database images yielding satisfactory accuracy rates. A comparative study demonstrated that the developed feature extraction scheme outperformed the other schemes being compared with.
基于内容的图像检索是自20世纪90年代以来随着互联网和新型数字图像传感器技术的发展而活跃和快速发展的研究领域。然而,许多具有挑战性的研究问题继续吸引着来自多个学科的研究人员。基于内容的图像检索使用图像的视觉内容作为特征来表示和索引要从大型图像数据库中搜索的图像。所选特征的质量主要依赖于在可接受的操作下确保的不变性的程度。本文提出了一种紧凑地表示颜色和纹理特征并将它们结合起来进行图像检索的有效方法。在wang数据库图像上对基于这些紧凑描述符的检索性能进行了分析和测试,获得了令人满意的准确率。对比研究表明,所提出的特征提取方案优于其他方案。
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引用次数: 7
期刊
2008 3rd International Conference on Information and Communication Technologies: From Theory to Applications
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