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

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Design and Development of Air Traffic Management Safety Database Analysis System 空中交通管理安全数据库分析系统的设计与开发
Lixin Wang, Yi Liu, Mingjun Li
With the rapid development of civil aviation, air traffic management system plays a more important role in ensuring aviation safety, and hence there is an urgent need to use information technology to improve analysis level and efficiency of aviation safety information. In this paper, an air traffic management safety database analysis system is developed. It can not only store basic information of safety events by entering data directly or acquiring data from other sources, but also quantify and classify the incidents according to human factor analysis, defense failure analysis and organization factor analysis of SHELL model so as to achieve in-depth analysis of the safety information. In the development of the system, B/S mode, MySQL database, Java language and Struts 2 + Spring + Hibernate framework are adopted. Via flexible user role and permission mechanism it could ensure a safe and ordered access to safety data. Moreover, considering importance and complexity of data acquisition, this module is deployed on cloud computing platform as a service, which could improve data acquiring efficiency and also lay a foundation for follow-up data mining of ATC safety data. The system could provide a quantitative decision support for ATC safety information management.
随着民航的快速发展,空中交通管理系统在保障航空安全方面发挥着越来越重要的作用,因此迫切需要利用信息技术来提高航空安全信息的分析水平和效率。本文开发了一个空中交通管理安全数据库分析系统。它不仅可以通过直接输入数据或从其他来源获取数据来存储安全事件的基本信息,还可以根据SHELL模型的人因分析、防御失效分析和组织因素分析对事件进行量化和分类,从而实现对安全信息的深度分析。在系统的开发中,采用了B/S模式,MySQL数据库,Java语言,Struts 2 + Spring + Hibernate框架。通过灵活的用户角色和权限机制,确保安全数据的安全有序访问。此外,考虑到数据采集的重要性和复杂性,将该模块作为服务部署在云计算平台上,可以提高数据采集效率,也为后续空管安全数据的数据挖掘奠定基础。该系统可为空管安全信息管理提供定量决策支持。
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引用次数: 0
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
Quality Evaluation for Anxi Tieguanyin Tea Based on Electronic Nose and PCALDA Method 基于电子鼻和PCALDA法的安溪铁观音茶叶质量评价
Hongxiu Liu, Dehan Luo, Fufang Li, G. Xie
Tea conventionally is tested by human sensory panel called Tea Tasters, which assign quality scores to different tea samples. This paper reports a method of the reliable measurement and correct classification of Anxi Tieguanyin tea in Fujian province based on a kind of electronic nose (E-nose): PEN3(Portable Electronic Nose Version 3.0). With the help of the E-nose, we analyze various grades of different kinds of tea samples by using the popular method of separation, like PCA and LDA. Experiments show that the method proposed in this paper has outstanding performance and high efficiency.
传统上,茶叶是由被称为茶品尝师的人类感官小组来测试的,他们会给不同的茶叶样品打分。本文报道了一种基于PEN3(Portable electronic nose Version 3.0)电子鼻(E-nose)的福建省安溪铁观音茶的可靠测量和正确分类方法。在电子鼻的帮助下,我们使用常用的分离方法,如PCA和LDA,来分析不同等级的不同种类的茶叶样品。实验表明,本文提出的方法性能突出,效率高。
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引用次数: 1
A New Method of Optimization Based on Arc Search 一种新的基于弧搜索的优化方法
Xin Pan, Weikun Sun
In order to efficiently solve the unconstrained optimization problem in which the objective function is very nonlinear, an innovative framework of optimization which is different from line search framework is proposed in this paper. This new method determines the step-length first with nonmonotone line search technique, and generates a two dimensional subspace spanned by the steepest-descent direction and an auxiliary vector. In this subspace, a circle with the current point as its center and with step-length as it radius is constructed. On this circle, the minimizer of the objective function as the next iterative point can be calculated with arc search, and the search direction can be generated with the minimizer and the current point. The variation of gradient of the objective function in the search direction is used for determining the step-length of the next step. The global convergence of this new algorithm is proved in this paper under some mild assumptions. Numerical tests illustrate that this new algorithm is more efficient than conjugate gradient direction. The arc search improves the efficiency of the iterative process. This new algorithm requires only the storage of three vectors such that it is suitable for large scale problems.
为了有效地解决目标函数高度非线性的无约束优化问题,本文提出了一种不同于直线搜索框架的创新优化框架。该方法首先利用非单调线搜索技术确定步长,然后生成由最陡下降方向和辅助向量组成的二维子空间。在此子空间中,以当前点为圆心,以步长为半径构造一个圆。在这个圆上,可以用圆弧搜索计算目标函数作为下一个迭代点的最小值,并利用最小值和当前点生成搜索方向。目标函数在搜索方向上的梯度变化用于确定下一步的步长。在一些温和的假设条件下,证明了该算法的全局收敛性。数值试验表明,该算法比共轭梯度方向算法更有效。弧搜索提高了迭代过程的效率。该算法只需要存储三个向量,适用于大规模问题。
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引用次数: 1
Application of 3D Sampling Trajectory in EVDRS Algorithm 三维采样轨迹在EVDRS算法中的应用
Zhongyuan Mou, Jie Yang, Jieru Chi
In order to solve the reconstructed image problem with poor image quality and long data scan time, 3D-EVDRS algorithm is proposed in this paper. By using 3D sampling trajectory in EVDRS algorithm, 3D-EVDRS algorithm can rationally solve the reconstructed image problem with poor image quality and long data scan time. For illustration, the medical diagnosis spine data is utilized to show the feasibility of the 3D-EVDRS algorithm in solving the reconstructed image problem with poor image quality and long data scan time. Experiments show that 3D-EVDRS algorithm will be used as an efficient algorithm in solving the reconstructed image problem with poor image quality and long data scan time. 3D-EVDRS algorithm can effectively solve the problem with image quality and imaging speed and thus a class of the reconstructed image problem with poor image quality and long data scan time are solved.
为了解决重建图像质量差、数据扫描时间长的问题,本文提出了3D-EVDRS算法。通过在EVDRS算法中使用三维采样轨迹,3D-EVDRS算法可以合理地解决重建图像质量差、数据扫描时间长的问题。以医学诊断脊柱数据为例,说明3D-EVDRS算法在解决图像质量差、数据扫描时间长的重构图像问题上的可行性。实验表明,3D-EVDRS算法是解决图像质量差、数据扫描时间长的重构图像问题的有效算法。3D-EVDRS算法有效地解决了图像质量和成像速度问题,从而解决了一类图像质量差、数据扫描时间长的重构图像问题。
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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
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
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
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
期刊
2013 International Conference on Information Science and Cloud Computing Companion
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