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2008 Second International Conference on Future Generation Communication and Networking Symposia最新文献

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A Linear Discriminant Analysis for Low Resolution Face Recognition 低分辨率人脸识别的线性判别分析
S. Yeom
This invited paper discusses low resolution face recognition using photon-counting linear discriminant analysis (LDA). The photon-counting LDA asymptotically realizes the Fisher criterion without dimensionality reduction. Linear boundaries are determined in high dimensional space to classify unknown objects. It will be shown that the proposed method provides better results than eigen face and Fisher face in terms of accuracy and false alarm rates.
本文讨论了光子计数线性判别分析(LDA)在低分辨率人脸识别中的应用。光子计数LDA在不降维的情况下渐近地实现Fisher准则。在高维空间中确定线性边界,对未知物体进行分类。结果表明,该方法在准确率和虚警率方面都优于特征脸和费雪脸。
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引用次数: 5
FLD Based Unconstrained Handwritten Kannada Character Recognition 基于FLD的无约束手写卡纳达语字符识别
Niranjan S. Ka, Vijaya Kumarb, Hemantha Kumar, Manjunath Aradhya
In this paper, we propose unconstrained handwritten Kannada character recognition based on Fisher linear discriminant analysis (FLD). The proposed system extracts features from well known FLD, Two dimensional FLD (2D-FLD) and diagonal FLD. In order to classify the characters, we explore different distance measure techniques and compare their results. The proposed system is tested on unconstrained handwritten Kannada characters with pertaining to large number of character classes. The system showed effectiveness and feasibility of the proposed method.
本文提出了一种基于Fisher线性判别分析(FLD)的无约束手写卡纳达语字符识别方法。该系统从已知的FLD、二维FLD和对角线FLD中提取特征。为了对这些特征进行分类,我们探索了不同的距离测量技术,并比较了它们的结果。该系统在大量字符类的无约束手写卡纳达汉字上进行了测试。系统验证了该方法的有效性和可行性。
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引用次数: 31
Post Ranking Algorithms in Blog Environment 博客环境下的文章排名算法
Won-Seok Hwang, Sang-Wook Kim, Duck-Ho Bae, Young-Joo Do
A blog is a personal web site, usually maintained by an individual, with posts that contain private thoughts. Existing algorithms for web-page ranking are not directly applicable to post ranking in blog environment since posts have their unique features different from those of web-pages. In this paper, we first model the relationships between bloggers and posts as a bipartite graph referred to as a post-blogger graph. Next, we propose new post ranking algorithms by modifying prior web-page ranking algorithms to be suitable for the post-blogger graph. Then, we evaluate the accuracy of post ranking algorithms by performing experiments using real-world blog data.
博客是一种个人网站,通常由个人维护,上面的帖子包含私人想法。现有的网页排名算法并不直接适用于博客环境下的文章排名,因为文章具有不同于网页的独特特性。在本文中,我们首先将博客和帖子之间的关系建模为一个二部图,称为post-blogger图。接下来,我们通过修改先前的网页排名算法来提出新的帖子排名算法,使其适合post-blogger图。然后,我们通过使用真实博客数据进行实验来评估帖子排名算法的准确性。
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引用次数: 3
Multivariable Integrated Model Predictive Control of Nuclear Power Plant 核电厂多变量综合模型预测控制
G. Xia, J. Su, Wei Zhang
This paper presents the method of multivariable integrated model predictive control for the nuclear power plant, including designing controller and building the modeling of turbine and once-through steam generator. The simulation results show that the rotate speed of turbine and outlet pressure of steam generator under the multivariable integrated model predictive control is faster steady and smaller overshoot than under the PID control, when the power load of nuclear power plant is changed. Simulation test indicates that the multivariable integrated model predictive control can obtain better control performance for nuclear power plant.
本文介绍了核电站多变量综合模型预测控制的方法,包括控制器的设计、水轮机和直通蒸汽发生器的建模。仿真结果表明,当核电站负荷发生变化时,采用多变量综合模型预测控制的汽轮机转速和蒸汽发生器出口压力比采用PID控制的汽轮机转速和蒸汽发生器出口压力更快、更稳定、超调量更小。仿真试验表明,多变量综合模型预测控制能获得较好的控制性能。
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引用次数: 6
Development of Kalman Filters for WLAN Based Tracking 基于WLAN跟踪的卡尔曼滤波器的研制
J. Yim, Seunghwan Jeong, Jaehun Joo, Chansik Park
Location based service (LBS) cannot be realized unless the location of the user is available. For indoor LBS, indoor positioning must be utilized and many researchers have been working on indoor positioning and tracking. For example, extended Kalman filter (EKF) was exploited in Bluetooth based indoor positioning. Nowadays, WLAN (wireless local area network) is available virtually everywhere. Thus, WLAN based indoor positioning and tracking is more economical than Bluetooth based ones. The main purpose of this paper is to propose a new WLAN based EKF indoor tracking method by extending existing Bluetooth based EKF positioning method. Experimental results comparing our method with other previous methods are discussed.
除非用户的位置可用,否则无法实现基于位置的服务(LBS)。对于室内LBS,必须利用室内定位技术,许多研究人员都在进行室内定位与跟踪的研究。例如,将扩展卡尔曼滤波(EKF)应用于基于蓝牙的室内定位。如今,无线局域网(WLAN)几乎无处不在。因此,基于WLAN的室内定位和跟踪比基于蓝牙的更经济。本文的主要目的是通过扩展现有的基于蓝牙的EKF定位方法,提出一种新的基于WLAN的EKF室内跟踪方法。讨论了本文方法与其他方法的实验结果。
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引用次数: 2
Ontology-Driven Extraction of Enterprise Competitive Intelligence in the Internet 互联网环境下企业竞争情报的本体驱动抽取
Yan Chen, Peiquan Jin, Lihua Yue
With the rapid development of knowledge-based economy and Web technology, more and more enterprisers realize the importance of extracting Competitive Intelligence (CI) from Web. Unfortunately, current technologies fail to directly generate enterprise competitive intelligence from Web information. Towards this situation, in this paper we present a framework of ontology-driven extraction of enterprise competitive intelligence from the Internet. After a short review on related work, we first present the ontological foundation of enterprise competitive intelligence in the Internet. And then the ontology-driven extracting process for enterprise competitive intelligence from Web is discussed.
随着知识经济和Web技术的飞速发展,越来越多的企业意识到从Web中提取竞争情报的重要性。遗憾的是,目前的技术无法直接从Web信息中生成企业竞争情报。针对这种情况,本文提出了一种基于本体驱动的互联网企业竞争情报提取框架。在简要回顾相关工作的基础上,首先提出了互联网环境下企业竞争情报的本体论基础。然后讨论了基于本体驱动的Web企业竞争情报提取过程。
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引用次数: 4
Kinematics Modeling of Multi-legged Robots walking on Rough Terrain 多足机器人在崎岖地形行走的运动学建模
M. Tarokh, M. Lee
The paper develops a systematic method for kinematics modeling of multi-legged robots for walking on rough terrain. An extended D-H table is proposed for characterizing the robot joints and linkages parameters. The equations of motions are set up using this table for different frames starting from the robot reference frame, going through individual legs and finally reaching feet-terrain contact frames. The composite equation of motion is formed from those of individual legs.The formulation allows determining actuations to various joints for achieving a desired robot motion, while optimizing a performance index such as a stability measure for illustration, the method is applied to SILO4, an articulated quadruped.
提出了一种系统的多足机器人在崎岖地形上行走的运动学建模方法。提出了一种扩展的D-H表来表征机器人关节和机构参数。利用此表建立了不同坐标系下的运动方程,从机器人参考系开始,经过单个腿,最后到达脚-地形接触坐标系。复合运动方程由单个腿的运动方程组成。该配方允许确定各种关节的驱动,以实现所需的机器人运动,同时优化性能指标,例如稳定性措施,该方法应用于铰接四足机器人SILO4。
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引用次数: 9
A Novel POS-Based Approach to Chinese News Topic Extraction from Internet 一种基于poss的网络中文新闻话题提取方法
Xujian Zhao, Peiquan Jin, Lihua Yue
News topic extraction is very important for news search engine. The traditional methods are based on pattern matching and linguistic analysis, which mainly depend on the measurement of feature similarity. But due to two reasons, those methods are basically inefficient to process Chinese news topic extraction from Internet. The first reason is the difficulty of Natural Language Processing (NLP) for Chinese, and the other is the diversity and fast update speed of Internet news. At the present, some works utilizing news special structure (e.g. title) for Chinese news topic are presented. However, two problems still remain unsolved so far, which are (1) missing of some news topic and (2) irregular topic words produced. Aiming to solve these two problems, we propose a POS-based approach to news topic extraction. We first segment words and tag POS for news title, and then eliminate segmentation errors according to POS information and position relation. After that, topic words are associated and combined into bigger ones, and different topic weights are assigned to those bigger words. We conduct an experiment on 600 Chinese news Web pages to demonstrate our new approach. The experimental results show that our approach has a higher recall and precision rate of news topic extraction and reduces irregular topic words obviously.
新闻主题提取是新闻搜索引擎的重要组成部分。传统的方法是基于模式匹配和语言分析,主要依赖于特征相似度的度量。但由于两个原因,这些方法在处理网络中文新闻话题提取时基本上是低效的。究其原因,一是中文自然语言处理(NLP)的难度大,二是网络新闻的多样性和更新速度快。目前,本文介绍了一些利用新闻特殊结构(如标题)进行中文新闻专题的作品。然而,目前还没有解决的问题是:(1)一些新闻主题缺失;(2)产生的主题词不规范。针对这两个问题,我们提出了一种基于pos的新闻主题抽取方法。首先对新闻标题进行分词和词性标注,然后根据词性信息和位置关系消除分词错误。然后,将主题词关联并组合成更大的主题词,并为这些更大的主题词赋予不同的主题权重。我们对600个中文新闻网页进行了实验,以证明我们的新方法。实验结果表明,该方法具有较高的新闻主题提取查全率和查准率,并明显减少了不规则主题词。
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引用次数: 5
A Hybrid Task Scheduling for Multi-Core Platform 多核平台的混合任务调度
Liang-Teh Lee, Huang-Yuan Chang, Shu-Wei Chao
With the advancement of technology, various services can be combined in a single computer system, such as Mobile Computing, and Digital Home, etc. With the properties of compact size, low power consumption, and full computing power, multi-core processor systems can be used to fulfill these kind of applications. For a set of hybrid tasks which comprise large real-time and non-real-time applications, however, currently, the operating system does not have any scheduling policy to improve the performance on multi-core platforms effectively. The task scheduling of operating system for general purpose applications can not satisfy the working demand of hybrid tasks, especially with large amount of real-time tasks. In this paper, we proposed a hybrid task scheduling scheme for multi-core platforms. In the proposed scheme, a two-level hierarchical scheduling is applied to adjust real-time and non-real-time tasks. It can not only maintain the response time of general tasks, but also support the real-time requirements for other tasks. The experimental results show that a higher efficiency can be obtained by applying the proposed scheme on multi-core architectures.
随着技术的进步,各种服务可以在单个计算机系统中组合,如移动计算、数字家庭等。多核处理器系统具有体积小、功耗低、计算能力强等特点,可用于实现此类应用。然而,对于一组由大型实时和非实时应用程序组成的混合任务,目前操作系统没有任何调度策略来有效地提高多核平台上的性能。通用应用操作系统的任务调度不能满足混合任务的工作需求,特别是实时任务量大的情况下。本文提出了一种多核平台的混合任务调度方案。在该方案中,采用两级分级调度来调整实时和非实时任务。它既能维护一般任务的响应时间,又能支持其他任务的实时性要求。实验结果表明,将该方法应用于多核体系结构,可以获得更高的效率。
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引用次数: 12
A Brief Introduction of Biometrics and Fingerprint Payment Technology 生物识别和指纹支付技术简介
D. Kumar, Yeonseung Ryu
In this paper we have survey on biometric payment system. Biometric payment system is used for various kinds of payment system instead of the tension of cards to put with them and to memorize their difficult passwords and pin numbers. Biometric payment system is much safe and secure and very easy to use and even without using any password or secret codes to remember as compared with previous system like creditcard payment system, wireless system and mobile system etc. Biometric payment system is reliable, economical and it has more advantages as compared with others. In daily life the usage of credit cards, check card for shopping, bus card, subway card for traveling, student card for library and department, and many kinds of cards for unlimited purposes and so on. So problem is that a person has to take many cards and has to remember their passwords or secret codes and to keep secure to take with him all time. So the biometric payment system will solve this problem. Greater adoption of biometric payment system will drive down the cost of biometric readers and thus making it more affordable to small business owners. We really need alternate payment systems. This "perpetual toll" to credit card companies has to stop.
本文调查了生物识别支付系统。生物识别支付系统被用于各种支付系统,而不再需要随身携带卡片,也不再需要记住密码和密码。与以前的系统(如信用卡支付系统、无线系统和移动系统等)相比,生物识别支付系统更加安全可靠,使用非常方便,甚至不需要记住任何密码或暗码。生物识别支付系统可靠、经济,与其他系统相比具有更多优势。在日常生活中,人们经常使用信用卡、购物卡、公交卡、地铁卡、学生证、图书馆和系里的借书证等各种卡。因此,问题在于一个人必须携带许多卡,而且必须记住它们的密码或暗码,并确保安全,以便随时携带。因此,生物识别支付系统将解决这一问题。生物识别支付系统的广泛采用将降低生物识别读卡器的成本,从而使小企业主更能负担得起。我们确实需要替代支付系统。信用卡公司的 "永久收费 "必须停止。
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引用次数: 79
期刊
2008 Second International Conference on Future Generation Communication and Networking Symposia
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