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

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ArchDB: Towards Parallelized Recovery in Massive Archived Databases ArchDB:迈向大规模归档数据库的并行恢复
Kai Du, Zhijian Yuan, Shuqiang Yang, Huaimin Wang
Monitoring online transactions or tracking users' behavior will generate large-scale archived streaming data in scientific experiments, inner-network audit logs and so on. These archived systems may scale up to petabytes (1015 Bytes). Storing and analyzing the structural data in such scale calls forth at least three challenging issues: data reliability, data storing and analyzing performance, and tradeoff between high reliability and high performance. Based on analyzing the characteristics of the archived streaming data, we propose a novel high reliable log-free database architecture, ArchDB. In order to meet the three challenges, this paper designs optimized data placement policy, data block size and data archiving occasion, pipelining and parallelizing archiving procedure. The experimental results show ArchDB can double the insertion performance and speed up the recovery process by a factor of the parallel recovery degree.
监控网上交易或跟踪用户行为将在科学实验、内网审计日志等方面产生大规模的存档流数据。这些归档系统可以扩展到pb(1015字节)。如此大规模的结构化数据的存储和分析至少提出了三个具有挑战性的问题:数据可靠性,数据存储和分析性能,以及高可靠性和高性能之间的权衡。在分析归档流数据特点的基础上,提出了一种新的高可靠无日志数据库架构——ArchDB。为了应对这三个挑战,本文设计了优化的数据放置策略、数据块大小和数据归档场合、流水线化和并行化归档过程。实验结果表明,ArchDB可以将插入性能提高一倍,并将并行恢复程度提高一倍。
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引用次数: 0
Clustering Algorithm Using Quoting Relation of Documents 基于文献引用关系的聚类算法
Hyejin Jeong
There is increasing interest in clustering, owing to improvements in computer capacity and expanding accessible information, circa 1990s. This paper aims to increase cohesion of clustering borrowing from techniques of pagerank showing the links among pages by assigning numerical values to the relevance of pages linked in Web pages. There are cases that need to be referenced in other documents because of any index in academic information. The greater the frequency of referenced academic information, the higher the probability that the referenced index of the document is relevant. Relations among documents referencing each other, are calculated via literature citing each document. The method of increasing the cohesion of clustering involves controlling the distance between two documents based on the values.
由于计算机能力的提高和可获取信息的扩大,大约在1990年代,人们对集群的兴趣越来越大。本文旨在借鉴pagerank技术,通过为网页中链接的页面的相关性赋值来显示页面之间的链接,从而提高聚类的内聚性。由于学术信息中的任何索引,都有需要在其他文献中引用的案例。引用学术信息的频率越大,文献的引用索引相关的概率越高。文献之间相互引用的关系,通过文献引用每个文献来计算。提高聚类内聚性的方法是根据值来控制两个文档之间的距离。
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引用次数: 0
Adoption of On-line Banking Service Considering the Moderate Effects of On-line Banking Service Type 考虑网上银行服务类型的适度效应的网上银行服务的采用
Byoungho Jun, Pil-Koo Han, J. Choi, B. Kang
The Purpose of this study is to investigate the factors affecting the adoption of on-line banking service. Based on prior studies, this study identified usefulness, ease of use, innovativeness, social influence, quality, cost as affecting factors of on-line banking service and considered moderating effects of service types between Internet banking service and mobile banking service. Result shows that usefulness, ease of use, innovativeness, social influence, quality, and cost are all significantly related to the adoption of on-line banking service. Social influence and cost were found to have different impact on between Internet banking service and mobile banking service.
本研究的目的是探讨影响网上银行服务采用的因素。在前人研究的基础上,本研究确定了网上银行服务的有用性、易用性、创新性、社会影响力、质量和成本是影响因素,并考虑了服务类型在网上银行服务与手机银行服务之间的调节作用。结果表明,有用性、易用性、创新性、社会影响力、质量和成本都与网上银行服务的采用显著相关。社会影响和成本对网上银行服务和手机银行服务的影响是不同的。
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引用次数: 6
Tracking Distance and Velocity Using a Stereo Vision System 利用立体视觉系统跟踪距离和速度
Y. Lim, Chung-Hee Lee, Soon Kwon, Jong-hun Lee
In this paper, a method to estimate and track the distance and velocity of an obstacle on the road based on a stereo vision system is presented. The distance and velocity can be calculated using the disparity in the stereo vision system. However, the quantization error of the pixels causes a deterioration in accuracy. The sub-pixel interpolation is used to compensate for the error, and then, the distance and velocity are tracked with a strong tracking extended Kalman filter using a constant velocity model (STEKF-CVM). The Monte-Carlo simulation results show that the performance of STEKF-CVM is better than that of other filters.
本文提出了一种基于立体视觉系统的道路障碍物距离和速度估计与跟踪方法。利用立体视觉系统中的视差可以计算出距离和速度。然而,像素的量化误差导致了精度的下降。采用亚像素插值补偿误差,然后采用恒速度模型(STEKF-CVM)对距离和速度进行强跟踪扩展卡尔曼滤波跟踪。蒙特卡罗仿真结果表明,STEKF-CVM滤波器的性能优于其他滤波器。
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引用次数: 6
Web Performance Enhancement of E-business System Using the SSD 基于SSD的电子商务系统Web性能提升
Daesik Ko, Seung-Kook Cheong
In this paper, we proposed web performance enhancement of the e-business system using the SSD (Solid State Drive). In the e-business system, transactions must be strictly ordered, should occur at a fixed point time, and not be lost. We approached to solve e-business problem by using software and hardware techniques such as SSD. X-internet has advantage of C/S and Web applications. Since X-internet technique enables to reduce the loading time of web pages, X-internet is useful to enhance performance of the e-business system. SSD is a storage device that uses DRAM or NAND Flash as primary storage media. Since the SSD stores and accesses data directly to memory chips, which results in storage speeds far greater than conventional magnetic storage devices (HDD). Therefore x-internet techniques can be used to solve confused browsing and poor UI, and SSD can be used to solve I/O bottleneck of the e-business system.
本文提出了利用固态硬盘(SSD)对电子商务系统进行web性能提升的方案。在电子商务系统中,交易必须严格有序,必须在固定的时间点发生,并且不能丢失。我们采用固态硬盘等软硬件技术来解决电子商务问题。X-internet具有C/S和Web应用程序的优势。由于X-internet技术可以缩短网页的加载时间,因此X-internet对提高电子商务系统的性能非常有用。SSD是一种使用DRAM或NAND Flash作为主存储介质的存储设备。由于SSD直接将数据存储和访问到内存芯片上,因此其存储速度远远超过传统的磁存储设备(HDD)。因此,可以使用x-internet技术解决浏览混乱和UI差的问题,可以使用SSD解决电子商务系统的I/O瓶颈问题。
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引用次数: 6
Neuro-Cognitive Computational Model of Automatic Lexical Acquisition 自动词汇习得的神经认知计算模型
Kinam Park, WonHee Yu, Heuiseok Lim, Soonyoung Jung
This study is intended to design and implement an automatic lexical acquisition model based on cognitive neuroscience referring to the theory that mental lexicon structure is represented with full-listing and morphemic and that lexical forms accessed to mental lexicon upon word cognition takes a hybrid type. As the result of the study, we could simulate the lexical acquisition process of linguistic input through experiments and studying, and suggest a theoretical foundation for the order of acquitting certain grammatical categories. Also, the model of this study has shown proofs with which we can infer the type of the mental lexicon of the human cerebrum through full-list dictionary and decomposition dictionary which were automatically produced in the study.
本研究旨在借鉴心理词汇结构以全表和语素表示、词汇认知时获取的词汇形式为混合型的理论,设计并实现基于认知神经科学的词汇自动习得模型。通过实验和研究,我们可以模拟语言输入的词汇习得过程,为某些语法范畴的习得顺序提供理论依据。同时,本研究的模型也为我们通过研究中自动生成的全表词典和分解词典来推断人脑心理词汇的类型提供了证据。
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引用次数: 0
The Recording Method of Real Time DMB Encryption for PMP PMP实时DMB加密的记录方法
Seong-Yeon Lee, Gyeong-Yeon Cho, Jong-Nam Kim
At July 2008, the nationwide DMB (digital multimedia broadcasting) has got started. As DMB device's volume of sales has been over 12 million already, the development of rapidly changing network systems has increased the dangers of infringing the copyright of DMB contents. For solving this problem, we suggest that real-time encryption algorithm without additional expenses, and implemented that on PMP. We used the SEED algorithm for encryption. As the experimental result, we confirmed that the real-time encryption and decryption of DMB videos were working well. Also confirmed that recorded contents in PMP were not replayed in other devices, and also the contents recorded by other devices were not played in PMP. Suggested algorithms can be useful in the VOD, IPTV or cable TV.
2008年7月,全国范围的DMB(数字多媒体广播)已经启动。随着DMB设备的销售量已经超过1200万台,快速变化的网络系统的发展增加了DMB内容版权侵权的危险。为了解决这个问题,我们提出了一种无需额外费用的实时加密算法,并在PMP上实现了该算法。我们使用SEED算法进行加密。实验结果表明,该算法对DMB视频的实时加解密效果良好。同时确认PMP中记录的内容没有在其他设备中重播,其他设备记录的内容也没有在PMP中播放。建议的算法可用于VOD, IPTV或有线电视。
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引用次数: 1
Synchronization of Delayed Chaotic Neural Networks by LMI 基于LMI的延迟混沌神经网络同步
R. Wu, Weiwei Zhang
In the current paper, exponential synchronization is discussed for chaotic neural networks with time-varying delays. Based on Lyapunov stability theory and linear matrix inequality (LMI), a nonlinear feedback control scheme is designed to synchronize the drive system and the response one. The obtained sufficient conditions are in the forms of LMI, so much easier to verify. Moreover, numerical simulation shows the effectiveness of this nonlinear control scheme.
本文讨论了具有时变时滞的混沌神经网络的指数同步问题。基于李雅普诺夫稳定性理论和线性矩阵不等式(LMI),设计了驱动系统与响应系统同步的非线性反馈控制方案。所得到的充分条件是LMI形式的,因此更容易验证。通过数值仿真验证了该非线性控制方案的有效性。
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引用次数: 0
A Model for Value-Added e-Market Provisioning: Case Study from Alibaba.com 增值电子市场配置模式:以阿里巴巴为例
Honghong Qing
Alibaba.com is one of the leading B2B e-Commerce companies in China. It provides an e-Marketplace connecting small and medium-sized buyers and suppliers both in China and around the world. Alibaba.com has grown admirably from its initial beginning as a general e-Market to a giant e-Marketplace. During its rapid growth, it has incurred challenges and becomes more expose to a greater competition. Currently the quality of its services and achieving profitability remain Alibaba's greatest challenges. In this paper we examine the key factors of Alibabapsilas success, including strong brand, providing customers with outstanding value and a superior shopping experience, massive sales volume and realizing economies of scale.
阿里巴巴是中国领先的B2B电子商务公司之一。它提供了一个连接中国和世界各地中小型买家和供应商的电子市场。阿里巴巴从最初的一个普通电子市场发展成为一个巨大的电子市场,令人钦佩。在快速发展的过程中,它也面临着挑战,面临着更大的竞争。目前,服务质量和盈利能力仍然是阿里巴巴面临的最大挑战。在本文中,我们研究了阿里巴巴商城成功的关键因素,包括强大的品牌,为顾客提供卓越的价值和卓越的购物体验,庞大的销售额和实现规模经济。
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引用次数: 14
Image Edge Detection Using Hidden Markov Chain Model Based on the Non-Decimated Wavelet 基于非抽取小波的隐马尔可夫链模型图像边缘检测
Renqi Zhang, Wanli Ouyang, W. Cham
Edge detection plays an important role in digital image processing. Based on the non-decimated wavelet which is shift invariant, in this paper, we develop a new edge detecting technique using hidden Markov chain (HMC) model. With this proposed model (NWHMC), each wavelet coefficient contains a hidden state, herein, we adopt Laplacian model and Gaussian model to represent the information of the state ldquobigrdquo and the state ldquosmall.rdquo The model can be trained by EM algorithm, and then we employ Viterbi algorithm to reveal the hidden state of each coefficient according to MAP estimation. The detecting results of several images are provided to evaluate the algorithm. In addition, the algorithm can be applied to noisy images efficiently.
边缘检测在数字图像处理中起着重要的作用。基于平移不变的非抽取小波,提出了一种基于隐马尔可夫链(HMC)模型的边缘检测方法。在该模型(NWHMC)中,每个小波系数包含一个隐藏状态,其中,我们采用拉普拉斯模型和高斯模型来表示状态ldquobigrdquo和状态ldquosmall的信息。利用EM算法对模型进行训练,然后利用Viterbi算法根据MAP估计揭示各系数的隐藏状态。最后给出了多幅图像的检测结果来评价该算法。此外,该算法可以有效地应用于噪声图像。
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引用次数: 17
期刊
2008 Second International Conference on Future Generation Communication and Networking Symposia
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