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2013 International Conference on Information Science and Cloud Computing Companion最新文献

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A Median Filtering Algorithm Based on Selected Point in Digital Image 数字图像中基于选择点的中值滤波算法
Yan Liang, Yan Gao
In this paper an algorithm of median filtering based on selected point is introduced, and it improved the obscured phenomenon of the median filtering image. The algorithm based on the notion of pixel tags, find the contaminated pixels in the sub-image area. And median filter the pixels only. Experimental results show that the effect of the filtered image is ideal, and it has the advantages of faster processing and little damage on the image.
本文介绍了一种基于选择点的中值滤波算法,改善了中值滤波图像的模糊现象。该算法基于像素标签的概念,在子图像区域中找到被污染的像素。中值只过滤像素。实验结果表明,滤波后的图像效果较理想,具有处理速度快、对图像损伤小等优点。
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引用次数: 0
Research on Web Mapping of Vector Nautical Charts Based on HTML5 基于HTML5的矢量海图Web制图研究
M. Pan, Bobo Pang, C. Li, Deqiang Wang, Donglong Min, De-peng Zhao
According to the issues encountered by traditional web chart technologies, the paper, following the boom of HTML5, did a research into web mapping of vector nautical charts based on HTML5. The research mainly includes: 1) System architecture for the HTML5 based web chart application, in which HTML5, CSS and Javascript are used to build and style the client Web chart pages, and Node. Js is used to construct the server-side to provide both HTTP and Web Socket services, 2) Organization of vector chart data to obtain more efficiency of data network transmission and data procession, for which original S-57 charts are converted into Shape files and a Javascript framework is designed to read and parse the Shape files for the client, 3) Vector nautical charts display on Web page, for which a Javascript display framework and rendering functions for chart points, lines and areas symbols are designed based on HTML5 Canvas. An application of web chart based vessel tracking is tested further to verify the proposed methods. The results showed that HTML5 is suitable to develop web vector chart applications, although there are several problems waiting to be solved such as it can't comply with S-52 display standard completely.
本文针对传统网络海图技术所遇到的问题,在HTML5蓬勃发展的背景下,对基于HTML5的矢量海图网络制图进行了研究。主要研究内容包括:1)基于HTML5的web图表应用系统架构,其中使用HTML5、CSS和Javascript对客户端web图表页面进行构建和样式化;使用Js构建服务器端,提供HTTP和Web Socket服务;2)对矢量海图数据进行组织,提高数据网络传输和数据处理的效率,将S-57原始海图转换为Shape文件,并设计Javascript框架为客户端读取和解析Shape文件;3)将矢量海图显示在Web页面上,实现矢量海图的Javascript显示框架和海图点呈现功能;线条和区域符号是基于HTML5 Canvas设计的。通过一个基于网图的船舶跟踪应用,验证了所提方法的有效性。结果表明,HTML5适合开发web矢量图应用,但仍存在不能完全符合S-52显示标准等问题有待解决。
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引用次数: 2
Survey of Cloud Messaging Push Notification Service 云消息推送通知服务调查
Na Li, Yanhui Du, Guangxuan Chen
Cloud messaging push notification services are key features of pervasive mobile applications where invocations occur asynchronously and it is important that the mobile users are notified in a timely fashion of the available services. This article summarizes Push technology evolution including key techniques, features and architectures. It presents four kinds of push notifications such as Microsoft Push Notification service, Google Cloud Messaging, Blackberry Push service, Apple Push Notification service. It also analyses these four push notification approaches. In addition, it proposes a CPTEM to evaluate and select the most appropriate push mechanisms.
云消息推送通知服务是普遍的移动应用程序的关键特性,其中调用异步发生,及时通知移动用户可用的服务是很重要的。本文总结了Push技术的发展,包括关键技术、特性和体系结构。它提供了四种推送通知服务,如微软推送通知服务,谷歌云消息,黑莓推送服务,苹果推送通知服务。本文还分析了这四种推送通知方法。此外,还提出了一个CPTEM来评估和选择最合适的推送机制。
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引用次数: 15
The Asymptotic Properties of Quasi-maximum Likelihood Estimator for Spatial Error Panel Data Model 空间误差面板数据模型拟极大似然估计的渐近性质
Chunhong Li, Li-Min Wen
The spatial panel data model is commonly used in practice. In order to explore the property of the parameter estimator for the spatial error panel data model with fixed effects, the quasi-maximum likelihood estimator for the model is provided in this paper. And two theorems on the asymptotic properties of the estimator are proposed and proved. For illustration, the associated simulation is employed to verify the effectiveness of the proposed strategies. Empirical results show that when the number of the spatial units is large and the number of the time series is finite, the estimator is consistent and asymptotically normal. In conclusion, it is an estimator with good performance.
空间面板数据模型是实践中常用的数据模型。为了探讨具有固定效应的空间误差面板数据模型参数估计量的性质,本文给出了该模型的拟极大似然估计量。提出并证明了关于估计量渐近性质的两个定理。为了说明问题,通过相关仿真验证了所提策略的有效性。实验结果表明,当空间单元数目较大,时间序列数目有限时,估计量是一致的,渐近正态的。总之,它是一个性能良好的估计器。
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引用次数: 0
A Research of Massive Distributed High Voltage Electrical Online Monitoring Data Management Platform Based on Cloud Storage 基于云存储的海量分布式高压电气在线监测数据管理平台研究
Wen Du, Lina Zhao
High voltage electrical online monitoring such that we can easy to get the operation of data related to the high-voltage electrical equipment in real time. In order to learn the healthy status of employed devices, the obtained monitoring data is analyzed. In this paper, the characteristics of the monitoring data are analyzed f such that the cloud storage platform is useful for the massive distributed line monitoring data management. Three tier architectures include the bottom is the substation level which is used to storage the substation data, and the middle is the regional level which is used to storage all region data, the top is the grid level, which is used to manage all monitoring data consist of the cloud store platform.
高压电气在线监测,使我们可以方便地实时获取与高压电气设备相关的运行数据。为了了解所使用设备的健康状态,对获得的监测数据进行了分析。本文分析了监控数据的特点,提出了云存储平台在海量分布式线路监控数据管理中的应用。三层体系结构:底层是变电站层,用于存储变电站数据;中层是区域层,用于存储所有区域数据;顶层是网格层,用于管理由云存储平台组成的所有监控数据。
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引用次数: 0
Musical Instrument Recognition Based on the Bionic Auditory Model 基于仿生听觉模型的乐器识别
Lin Zhang, Shan Wang, Lianming Wang, Yiyuan Zhang
We present a bionic auditory system for musical instrument recognition. This system is designed based on the physiological structures of the human auditory system that are essential to sound source recognition, such as the basilar membrane and inner hair cells in the cochlea of the inner ear, cochlear nucleus, and the auditory cortex. A large solo database consisting of 243 acoustic and synthetic solo tones over the full pitch ranges of seven different instruments (guitar, harp, horn, piano, saxophone, trumpet, and violin) is used to encompass different sound possibilities of each instrument. The gamma tone model, the Meddis model, and poster ventral cochlear nucleus (PVCN) model are constructed to imitate the basilar membrane, the inner hair cells, and the cochlear nucleus, respectively. By using 33%/67% splits between training and test data, a self-organizing mapping neural network (SOMNN) based on the function of auditory cortex is established to classify the instruments. The instruments are recognized with an overall success rate of over 75%. This bionic auditory system indicates high efficiency and high accuracy in musical instrument recognition.
提出了一种用于乐器识别的仿生听觉系统。该系统是根据人类听觉系统中对声源识别至关重要的生理结构,如内耳耳蜗的基底膜和内毛细胞、耳蜗核、听觉皮层等进行设计的。一个大型独奏数据库由243个声学和合成独奏音调组成,涵盖七种不同乐器(吉他、竖琴、圆号、钢琴、萨克斯、小号和小提琴)的全音高范围,用于涵盖每种乐器的不同声音可能性。分别模拟基底膜、内毛细胞和耳蜗核,构建耳蜗γ音模型、Meddis模型和后腹侧耳蜗核(PVCN)模型。利用训练数据和测试数据之间33%/67%的分割,建立了基于听觉皮层功能的自组织映射神经网络(SOMNN)对乐器进行分类。这些仪器的总体成功率超过75%。该仿生听觉系统在乐器识别方面具有较高的效率和准确性。
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引用次数: 6
A Case of Chip Multithreading Architecture with Resource Unit Manager 基于资源单元管理器的芯片多线程架构实例
Juan Fang, Zhenxi Pan, Lu Yu, Sitong Liu
In order to improve the overall throughput of processors, to increase thread-level parallelism (TLP) and instruction-level parallelism (ILP) intra and inter cores, and ensure the scalability of multi-core systems, can a novel mechanism chip multithreading with resource unit manager (RUM-CMT) be used, which is presented in this paper. By introducing the efficiency difference of resource utilization among threads, such as, the condition of dynamically resource allocation to CMT architecture and add an absorption barrier for all threads to make their reserved resources far away from hidden hunger. For verify the applicability of RUM-CMT, a 4 cores with 2 threads processor and a 4 cores with 4 threads processor are simulated based on GEMS & Simics simulator. And this limited study shows RUM-CMT can increase performance by 29.79%, and an improve success committed instructions per squash instructions by 31.15% and fairness attains 6.25% improvements over static partition on 4 cores with 4 threads processor. The 4 cores with 2 threads also attains passable enhance. So RUM-CMT can accurately and concise reallocate resource according to phase turning in the running of applications, improve resource utilization, mining the ILP and TLP in applications. In other words, RUM-CMT improves the controllability of threads, reduces invalid losses and improves system efficiency, and it is a suitable solution for multicore, multithreaded architecture.
为了提高处理器的整体吞吐量,提高内核内和内核间的线程级并行性(TLP)和指令级并行性(ILP),保证多核系统的可扩展性,本文提出了一种基于资源单元管理器(RUM-CMT)的芯片多线程机制。通过在CMT体系结构中引入线程间资源利用效率差异,如动态资源分配条件,并为所有线程添加吸收屏障,使其保留的资源远离隐性饥饿。为了验证RUM-CMT的适用性,在GEMS和Simics模拟器上分别对4核2线程处理器和4核4线程处理器进行了仿真。这项有限的研究表明,与4核4线程处理器上的静态分区相比,ram - cmt可以将性能提高29.79%,将每个压缩指令的成功率提高31.15%,公平性提高6.25%。4核2线程也获得了尚可的增强。因此,RUM-CMT可以在应用程序运行过程中根据阶段转换准确、简洁地重新分配资源,提高资源利用率,挖掘应用程序中的ILP和TLP。也就是说,ram - cmt提高了线程的可控性,减少了无效损耗,提高了系统效率,是一种适合多核、多线程架构的解决方案。
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引用次数: 0
Realization of Multi-port SDRAM Controller in LXI Data Acquisition System LXI数据采集系统中多端口SDRAM控制器的实现
Jianmin Wang, Yanqin Zhang, Jinhu Zhou, Peng Jia, Xunjun He
Currently, the LXI data acquisition system often requires high speed, large capacity memory, but the internal storage resource of FPGA is not sufficient to meet the requirements. In order to solve above problems, a SDRAM controller is proposed in this paper, where the Multiple FIFO based on the on-chip resources of FPGA serves as the read and write cache to realize the multiple functional modules performing the read/write operation in LXI acquisition system by the design of priority algorithm and reasonable controlling the access of SDRAM from external device. At the same time, the SDRAM can still communicate at high frequency by the suitable time limitation. The simulation results show that the proposed SDRAM controller can not only realize reading and writing data, but also its operating frequency is able to meet the requirements of functional modules.
目前,LXI数据采集系统往往需要高速、大容量的内存,但FPGA的内部存储资源不足以满足要求。为了解决上述问题,本文提出了一种SDRAM控制器,该控制器利用FPGA片上资源的Multiple FIFO作为读写缓存,通过优先级算法的设计,合理控制外部设备对SDRAM的访问,实现LXI采集系统中执行读写操作的多个功能模块。同时,在适当的时间限制下,SDRAM仍然可以进行高频通信。仿真结果表明,所提出的SDRAM控制器不仅能够实现数据的读写,而且其工作频率能够满足功能模块的要求。
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引用次数: 3
Research of the Anti-phishing Technology Based on E-mail Extraction and Analysis 基于电子邮件提取与分析的反网络钓鱼技术研究
Yanhui Du, Fu Xue
In this paper, an anti-phishing technique based on e-mail extraction and analysis is proposed. The technique approached with phishing email, the channel phishing attack transmits, distinguish phishing emails and extract the suspicious URL from the e-mail for further analysis. Upon arrival, a protected list is built according to those third parties which are the most vulnerable to phishers in order to filter those confusing advertising spams in China and a neural network based model is proposed in order to detecting phishing messages from an e-mail stream. In this anti-phishing technique, email stream captured by our honey pot subsystem from the Internet is parsed into a MIME email firstly, various feathers are extracted from the email and outputted into feather vectors. The feature vectors will be self-organized by ART2 neural network one by one and classified into corresponding categories. Link URLs in the suspected emails' messages will be extracted for further detection in phishing site subsystem. Experiment using collected emails shows a good performance aiming at detecting phishing emails in China while foreign method performs badly in distinguishing phishing emails from spam.
本文提出了一种基于电子邮件提取和分析的反网络钓鱼技术。该技术以网络钓鱼邮件为突破口,通道式网络钓鱼攻击传输、识别网络钓鱼邮件,并从邮件中提取可疑URL进行进一步分析。在到达后,根据最容易受到网络钓鱼者攻击的第三方建立保护列表,以过滤中国境内令人困惑的广告垃圾邮件,并提出了基于神经网络的模型来检测电子邮件流中的网络钓鱼信息。在这种反网络钓鱼技术中,蜜罐子系统首先将从互联网上捕获的电子邮件流解析为MIME电子邮件,从电子邮件中提取各种羽毛并输出到羽毛向量中。特征向量将被ART2神经网络逐个自组织并分类到相应的类别中。可疑邮件消息中的链接url将被提取出来,供钓鱼网站子系统进一步检测。通过收集到的邮件进行的实验表明,该方法在检测国内网络钓鱼邮件方面表现良好,而国外的方法在区分网络钓鱼邮件和垃圾邮件方面表现不佳。
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引用次数: 5
Hand Tracking Algorithm Based on SuperPixels Feature 基于超像素特征的手部跟踪算法
Zhiqin Zhang, Fei Huang
There have been considerable research efforts to use the hand as an input device for HCI in recent years. Hand tracking is the most important procedure for HCI, it is essential of tracking stability and efficiency for hand manipulation. This paper proposed a novel hand tracking algorithm which can track a hand stable and is real time, and the proposed algorithm can work on normal CCD cameral. Our algorithm is based on mean-shift and we improved it to fit for robust hand tracking by using super pixel cluster, integrated GIH and skin color mask, the skin color mask was extracted using online learning. The proposed improved algorithm can track hand reliably even in clutter environments comparing to the existing traditional algorithms.
近年来,已经有相当多的研究努力将手作为HCI的输入设备。手部跟踪是人机交互中最重要的环节,对手部操作的跟踪稳定性和效率至关重要。本文提出了一种新颖的手部跟踪算法,该算法能够稳定、实时地跟踪手部,并能在普通CCD摄像机上工作。该算法以mean-shift为基础,通过超像素聚类、融合GIH和肤色掩模对算法进行改进,使其适应鲁棒手部跟踪,肤色掩模通过在线学习提取。与现有的传统算法相比,改进算法在杂波环境下也能可靠地跟踪手部。
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引用次数: 10
期刊
2013 International Conference on Information Science and Cloud Computing Companion
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