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Proceedings of the IEEE Symposium on Emerging Technologies, 2005.最新文献

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Kernel based robust object tracking using model updates and Gaussian pyramids 基于模型更新和高斯金字塔的核鲁棒目标跟踪
Pub Date : 2005-12-19 DOI: 10.1109/ICET.2005.1558870
Z. Ali, S. Hussain, I. A. Taj
Visionbasedtracking, being a challenging engineering problem isone ofthehotresearch areas in*nachine vision. Inrecentstuidies Kernel based tracking usinig Bhattacharya similaritv mea.sutre is showntobean eficient techniquie fornon-rigid object tracking through thesequienceofimnages. In this paper we presented a robutst and efficient tracking approach Jbrtargets having larger motions ascompared totheir sizes. Outr tracking approach is based on calculating theGaussian pyramids ofthe imagesandthenapplying mean shift algorithm at eachpyramid level fo6r tracking thetarget. Model based tracking often sq/fkm-s abruipt changes intarget model, which iscompensated bvthemodel updatesof target. Thisleads to a very efficient androbust nonparametric tracking algorithm Thenew method is easily abletotrack thefast moving targetsandis more robulst and environment independent as compared tooriginal kernel based object tracking.
基于视觉的跟踪是一个具有挑战性的工程问题,是机器视觉领域的热门研究领域之一。最近研究了基于核的基于Bhattacharya的跟踪方法。通过这些序列图像,Sutre是一种有效的非刚性目标跟踪技术。在本文中,我们提出了一种鲁棒和高效的目标跟踪方法,该方法适用于运动较大的目标。我们的跟踪方法是基于计算图像的高斯金字塔,然后在每个金字塔水平上应用均值移位算法来跟踪目标。基于模型的跟踪在目标模型中经常发生sq/fkm-s的突变,这种突变被目标模型的更新所补偿。该方法可以很容易地跟踪快速运动的目标,并且与原始的基于核的目标跟踪相比,具有更强的鲁棒性和环境无关性。
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引用次数: 7
Development of a 2 degrees of freedom tracking system. Part II: controller design and implementation 二自由度跟踪系统的研制。第二部分:控制器的设计与实现
Pub Date : 2005-12-19 DOI: 10.1109/ICET.2005.1558928
I. Askari, S. A. Hassan, M.S. Faree, K. Munawar, M. Malik, T. Abbas
Platform stabilization and control problems are a major field of study in control systems. For a long period of time, analog control schemes using op-amps for gain, as differentiators and as integrators were used and are still used but they require complex circuitry even for simple PI controllers. With the advent of the digital era this approach has changed. Now even complex closed loop control schemes are easily achievable using programmable gains and adjustable parameters. Different scenarios require different control schemes that optimize different parameters of the systems closed loop response. Object tracking requires a highly stable platform capable of tracking high speed moving targets. This paper is the continuation of our previous paper in which we discussed the design and construction of a real time target tracker, a 2 DOF platform with emphasis on its stability and balanced weight distribution. In this paper we discuss the digital control scheme for the closed loop control of the designed platform.
平台稳定与控制问题是控制系统研究的一个重要领域。在很长一段时间里,模拟控制方案使用运算放大器作为增益,作为微分器和积分器,但它们需要复杂的电路,即使是简单的PI控制器。随着数字时代的到来,这种方法发生了变化。现在,使用可编程增益和可调参数,即使是复杂的闭环控制方案也很容易实现。不同的场景需要不同的控制方案来优化系统闭环响应的不同参数。目标跟踪需要一个能够跟踪高速运动目标的高度稳定的平台。本文是我们上一篇论文的延续,我们讨论了一个实时目标跟踪器的设计和构造,一个2自由度的平台,重点是它的稳定性和平衡的重量分布。本文讨论了设计平台闭环控制的数字控制方案。
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引用次数: 1
Node failure detection and path repairing scheme in virtual circuit routing algorithm for wireless ad hoc micro sensor networks 无线自组织微传感器网络虚拟电路路由算法中的节点故障检测和路径修复方案
Pub Date : 2005-12-19 DOI: 10.1109/ICET.2005.1558860
A. A. Minhas, C. Steger, R. Weiss, S. Ehsan
Routing algorithms haveshowntheir importance in the power aware wireless micro-sensor networks. In this paper,we presenttheimproved virtuial circulit routingalgorithm (IVCRA)implemented in temperatuire sensorapplication developed bytus. We introduce a method todetect nodefailure andthen to repair thepathtoroutte thedatapack-et safely to basestation. Weverified itbysimulating inTOSSIM andthenimplementing on real motesnetwork. The motes are fromBerkeley USA andare being operated byusingTinyOS-operating systemand nesClanguage. Energy analysis showsthat IVCRAis energy efficient. ForIVCRA,we theninclude the packet sizerecommended byZigbee/IEEE 802.15.4 standard, an emerging standard forwireless sensor networks, alongwithftatures ofitsNetwork Layer. We prove thereliabilitv ofnetwork withIVCRA. Energycfficiencies fbrdifferent packet sizereveal that ourpacket size isoptimal.
路由算法在功率感知无线微传感器网络中已经显示出其重要性。在本文中,我们提出了一种改进的虚拟回路路由算法(IVCRA),实现在温度传感器应用中。我们介绍了一种检测节点故障并修复路径的方法,从而将数据包安全地传输到基站。通过仿真inTOSSIM,并在实际网络上进行了验证。这些笔记来自美国伯克利,正在使用ios操作系统和neslanguage进行操作。能源分析表明,ivcris是节能的。对于ivcra,我们将包括zigbee /IEEE 802.15.4标准推荐的数据包大小,这是一种新兴的无线传感器网络标准,以及其网络层的特征。我们用ivcra证明了网络的可靠性。不同数据包大小的能量效率表明我们的数据包大小不是最优的。
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引用次数: 5
Semantic integration of learning objects for UREKA navigation & integration toolkit - UNIT 用于UREKA导航和集成工具包- UNIT的学习对象的语义集成
Pub Date : 2005-12-19 DOI: 10.1109/ICET.2005.1558936
M. Ahmed, Mohib-ur-Rehman, Imran Ihsan, M. Qadir, N. Iftikhar
Now a day, education is getting more expensive, relative to other fields. The reason for such increasingly expensive field is due to less investment and efforts to involve information technology. There is a need to develop new and effective models for learning through information technology. The key component for such learning models is learning object, which includes different types of media i.e. audio, video, image. text etc. A lecture is a combination of one or more learning objects. Thus efficient and effective integration of learning objects becomes the key part of this activity. UNIT (UREKA navigation and integration toolkit) is emerging model for such type of integration. It defines CMF (common media framework) that has a predefined schema for integration of learning objects, and also the capability of handling spatial und temporal behavior for learning activity separately. Furthermore, it allows users to modify these behaviors and to attach presentational templates of their own comfort that provide reusability of both the integrated information and templates. The integration information in CMF file will be combined with loosely hounded presentational templates, dynamically to generate presentation for learning activity (A Lecture).
如今,相对于其他领域,教育正变得越来越昂贵。如此昂贵的领域的原因是由于较少的投资和努力涉及信息技术。有必要开发利用信息技术进行学习的新的有效模式。这种学习模式的关键组成部分是学习对象,它包括不同类型的媒体,如音频、视频、图像。文本等。讲座是一个或多个学习对象的组合。因此,高效、有效地整合学习对象成为该活动的关键部分。UNIT (UREKA导航和集成工具包)是这种类型集成的新兴模型。它定义了CMF(公共媒体框架),该框架具有用于集成学习对象的预定义模式,以及分别处理学习活动的空间和时间行为的能力。此外,它允许用户修改这些行为,并附加他们自己喜欢的表示模板,这些模板提供了集成信息和模板的可重用性。CMF文件中的集成信息将与松散的表示模板结合,动态地生成学习活动的表示(A Lecture)。
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引用次数: 2
Speech enabled algorithm for multilingual educational game 多语种教育游戏的语音启用算法
Pub Date : 2005-12-19 DOI: 10.1109/ICET.2005.1558880
A. Shah, A. W. Ansari, I. A. Ismaili
In this paper we propose an algorithmii that utilizes the Artificial Intelligence bcased techniques including Heuristic Search and natural language processing to enable tlhe single user to plaiy the game at any time with the coimputer withoutt waiting far the availability of other player. As well as we propose to acldd tlhe support of the vocabularv oJ other regional languages such as Urdu / Sindhi/ Paslhto witha the speech synthesis based pronunciation facility. Thae tools and tlhe technologies that are to be used for the implemtientation of the algorithm include: Microsoft VB and AI Techniques along with mttultilingual dictioncaries. The imtplemlentation of this algoritlhm wouldfacilitate any one in general and studcents in particulair to butild a strong ivocabulary of acny language with just the fun of playing. Thlis wouild provide a direct contriburtion to thze educcation an1d literacyaclong with entertainment.
在本文中,我们提出了一种算法,该算法利用了基于人工智能的技术,包括启发式搜索和自然语言处理,使单个用户能够随时与计算机一起玩游戏,而无需等待其他玩家的可用性。此外,我们还建议在基于语音合成的发音设施中增加对其他地区语言(如乌尔都语/信德语/帕什图语)的词汇库的支持。用于实现该算法的工具和技术包括:Microsoft VB和AI技术以及多语言词典。这个算法的实现将有助于任何一个人,特别是学生,建立一个强大的任何语言词汇,只是玩的乐趣。这将为教育和识字以及娱乐提供直接的贡献。
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引用次数: 0
Evaluation of VoIP quality over the pakistan internet exchange (PIE) backbone 巴基斯坦互联网交换(PIE)骨干网VoIP质量评价
Pub Date : 2005-12-19 DOI: 10.1109/ICET.2005.1558891
M. Mehmood, T.M. Jadoon, N. Sheikh
This paper assesses VoIP quality over the Pakistan Internet Exchange (PIE) backbone between major cities of Pakistan. Passive measurements for voice calls in the presence of background Internet data traffic for different speech codecs such as the ITU-T G.711, G.723.1 and G.729 were carried out. Interpacket delay and jitter were measured over the PIE IP/ATM backbone and the corresponding inter-packet delay densities were calculated for evaluating the perceptual quality of computer telephony calls using the ITU-T G.107 E-model. The transmission quality (R-factor) and resultant Mean Opinion Scores (MOS) were calculated for both backbone and access links of ISPs. The study highlights the growth of VoIP as a significant component of the PIE backbone traffic in Pakistan as well as reconfirms the presence of congestion hot spots in the access links.
本文评估了巴基斯坦主要城市之间的巴基斯坦互联网交换(PIE)骨干网的VoIP质量。对不同语音编解码器(如ITU-T G.711、G.723.1和G.729)在背景互联网数据流量存在下的语音通话进行了无源测量。在PIE IP/ATM骨干网上测量了包间延迟和抖动,并计算了相应的包间延迟密度,以使用ITU-T G.107 e模型评估计算机电话呼叫的感知质量。计算了isp骨干网和接入链路的传输质量(r因子)和平均意见评分(MOS)。该研究强调了VoIP作为巴基斯坦PIE主干流量的重要组成部分的增长,并再次确认了接入链路中拥塞热点的存在。
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引用次数: 3
PCA based image classification of single-layered cloud types 基于PCA的单层云类型图像分类
Pub Date : 2005-12-19 DOI: 10.1109/ICET.2005.1558909
ImranSarwar Bajwa, S. Hyder
The paper presents an automatic classification system, which discriminates the different types of single-layered clouds using principal component analysis (PCA) with enhanced accuracy as compared to other techniques. PCA is an image classification technique typically used for face recognition. Principal components are the distinctive or peculiar features of an image. The approach described in this paper uses this PCA capability for enhancing the accuracy of cloud image analysis. To demonstrate this enhancement, a software classifier system has been developed that incorporates PCA capability for better discrimination of cloud images. The system is first trained using cloud images. In training phase, system reads major principal features of the different cloud images to produce an image space. In testing phase, a new cloud image can be classified by comparing it with the specified image space using the PCA algorithm.
本文提出了一种自动分类系统,该系统利用主成分分析(PCA)对不同类型的单层云进行区分,与其他技术相比,准确率更高。PCA是一种图像分类技术,通常用于人脸识别。主成分是图像的独特或独特的特征。本文描述的方法利用这种PCA能力来提高云图像分析的准确性。为了证明这种增强,开发了一个软件分类器系统,该系统结合了PCA功能,可以更好地识别云图像。该系统首先使用云图像进行训练。在训练阶段,系统读取不同云图像的主要特征,生成图像空间。在测试阶段,使用PCA算法将新的云图像与指定的图像空间进行比较,从而对新的云图像进行分类。
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引用次数: 16
Power optimized logic circuit design with a novel synthesis technique 基于新型合成技术的功率优化逻辑电路设计
Pub Date : 2005-12-19 DOI: 10.1109/ICET.2005.1558899
P. Balasubramanian, M. Narayana, R. Chinnadurai
The purpose of this paper is to propose a systematic methodology for non-regenerative logic circuit design at the gate level. The tr-aditional logic synthesis methods [5f, [6] become inetfective in ccase of Non-Adjacent Jfnctions. In this paper, we address the redutction problem for this case by evolving a set of minimization lemmas based on the Hamming distance between the terms. Though our main emphasis has been on the satisfiabilitv of the circuiit functionality with minimum number of active gates, the approach presented here takes a viewpoint, in which all critical design metrics are investigated with the primary goal of reducing the dynamic power consunmption of the circuit. The SPICE simulation results obtained on the basis of 3.3V, 0.5,um CMOS technology are very encouraging, as they report minimization in average power consumption by about 36 %for the examples cited, along with a substantial improvement in the Figure oj Merit (FoM) of the circuit, in comparison with that obtainable using conventional approaches.
本文的目的是提出一种系统的方法来设计门级的非再生逻辑电路。其他的逻辑综合方法[5f,[6]]在函数不相邻的情况下是无效的。在本文中,我们通过基于项之间的汉明距离进化一组最小化引理来解决这种情况下的约简问题。虽然我们的主要重点是在最小有源门数量下电路功能的满意度,但这里提出的方法采取了一种观点,其中所有关键设计指标都以降低电路的动态功耗为主要目标进行研究。基于3.3V, 0.5 um CMOS技术获得的SPICE模拟结果非常令人鼓舞,因为它们报告了所引用示例的平均功耗降低约36%,并且与使用传统方法获得的电路相比,电路的图oj性能(FoM)有了显着改善。
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引用次数: 5
Temporal classification for fault-prediction in a real-world telecommunications network 实时通信网络故障预测的时间分类
Pub Date : 2005-12-19 DOI: 10.1109/ICET.2005.1558882
M. Jaudet, N. lqbal, A. Hussain, K. Sharif
This paper presents a new temporal classification approach for fjldt-prediction in a Telecommutnications Network. The countrvwide data network of Pakistan Telecom (PTCL) has been selected as a basis for the investigation of classification algor-ithms to predict flults beJbre they stop a large numnber of users' circuits from normal operation. The main problenms addressed are the evalluation of alarms and clevelopment of newi, machine learning tools to help overcome the interoperabilitv issues. The motivation behind this work is to assist humian operators and nminimize the cost of the alarm evalulation
提出了一种新的电信网络fjldt预测时间分类方法。选取巴基斯坦电信(Pakistan Telecom, PTCL)的全国数据网络作为研究分类算法的基础,以预测故障是否会导致大量用户电路无法正常运行。解决的主要问题是评估警报和开发新的机器学习工具,以帮助克服互操作性问题。这项工作背后的动机是协助人类操作员并最大限度地减少警报评估的成本
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引用次数: 11
Two layered behaviour based navigation of a mobile robot in an unstructured environment using fuzzy logic 基于模糊逻辑的非结构化环境中移动机器人两层行为导航
Pub Date : 2005-12-19 DOI: 10.1109/ICET.2005.1558886
N. Rahman, A. R. Jafri
This paper proposes a fuzzy behaviour based controls for the navigation of a differential drive mobile robot in an unstructured environment. Behaviours are implemented by incorporating the information of the current location of mobile robot, location of target and distance of the obstacles from the ultrasonic range finders. This behaviour based controls architecture is composed of two layers, the first layer selects a group of behaviours and second implements controller actions for the selected group. The layered architecture reduces the rule base as well as allows further decomposition of behaviours. The behaviour conflict management is done by using inhibition at first layer and suppression at second layer. Simulation results verify the effectiveness of proposed method by implementing obstacle avoidance, wall following, corridor following, target steering and emergency behaviours successfully
提出了一种基于模糊行为的差分驱动移动机器人在非结构化环境中的导航控制方法。利用超声波测距仪获得的移动机器人当前位置、目标位置和障碍物距离信息来实现行为。这种基于行为的控制体系结构由两层组成,第一层选择一组行为,第二层为所选组实现控制器动作。分层体系结构减少了规则库,并允许进一步分解行为。行为冲突管理是通过第一层抑制和第二层抑制来实现的。仿真结果验证了该方法的有效性,成功实现了避障、墙壁跟踪、走廊跟踪、目标转向和应急行为
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引用次数: 11
期刊
Proceedings of the IEEE Symposium on Emerging Technologies, 2005.
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