基于WinPcap网络流量实时统计程序的设计

用VC 实现了一个基于WinPcap库的网络流量实时统计程序,并对其工作原理进行了探讨.     

基于光流法和行人面积特征的人数统计方法研究

为了提高视频监控领域中出入口的人数统计的准确率,提出构建一种近似 俯视运动行人面积作为人数统计的特征。使用垂直悬挂的单目摄像头对出入口进行拍摄,设 置一条虚拟计数线,利用Lucas-Kanade 光流算法计算计数线上像素的速度矢量,并构建近 似俯视运动行人面积作为特征对过线人数进行估计并计数。实验结果表明,使用该方法可以 降低光照原因产生的阴影以及图像预处理对人数统计的干扰,比较准确地对出入口进行人数 统计。     

基于Web的统计电子地图发布系统设计

为解决传统桌面统计电子地图向网络统计电子地图的转换问题,提出一种基于Web的统计电子地图发布系统设计方案,对其系统框架和主要功能模块的实现原理进行了介绍。根据该设计方案开发了基于Web的统计电子地图发布系统,并对2005年出版的中国人口、环境与可持续发展电子地图集进行了网络发布实验。该实验系统在国家统计局相关部门进行安装调试,取得较好的效果,实现了传统桌面统计电子地图向网络统计电子地图的快速、平滑转换。     

基于数据仓库的银行卡统计系统

分析了数据仓库的特点,并根据银行卡统计系统的业务需求给出了其系统结构和数据仓库模型,最后指出了其关键技术及实现方法。     

地面气候资料查询与分析系统的设计与实现

为定性、定量和可视化地研究分析气候要素的变化特征,设计和开发一个基于Java Web和WebGIS的地面气候资料查询与分析系统。整合Struts、Spring和Hibernate （SSH）框架技术实现易维护和易扩展的目的,使用ArcGIS for Ser-ver作为GIS服务器提供完善的空间分析功能,使用Oracle数据库存储空间和非空间数据保障数据的安全,重采样服务器的响应结果实现在浏览器端的快速可视化,采用表格、图形和空间地图3种方式来显示查询和分析的结果以满足用户的不同需求。实例测试结果表明,该系统可以快速地响应用户的请求,准确高效地返回处理结果。     

基于GIS的农村社会经济统计信息系统技术

将GIS技术应用于农村统计领域,通过制定统计行业空间信息化建设标准与规范,实现了系统与现有统计政务系统的数据共享。提出并研究了统计数据空间化处理、空间统计分析和多维可视化表达的技术方法体系,从农村统计业务流的角度进行系统数据库设计、框架搭建以及功能模块设计,在此基础上构建了系统原型并在国家统计局进行示范应用。实践证明,建立时空一体化的信息支撑平台,对于推动我国农村统计部门的政务信息化建设起到了积极作用。     

基于数据挖掘的可视化生物统计软件的研制

在研究了国内外优秀统计软件架构方式的基础上,结合生物统计界的实际需求,研建了基于数据挖掘的可视化生物统计软件。     

基于多摄像头的会场上座率实时统计方法

会场中座位分布密集,摄像头采集的画面中座位经常受到遮挡,严重影响了上座率统计的准确性.针对这种情况,提出了一种基于多摄像头的会场上座率统计方法.在座位区域的正面和顶部安装摄像头,在两种视角的画面中运用背景差分算法筛选出发生状态变化的座位,有效减低算法复杂度,做到实时计算,然后对座位图像提取HOG特征,利用支持向量机（SVM）进行分类,最后融合两种视角的分类结果,减少遮挡带来的影响,统计得出会场上座率.实际应用结果表明,该方法在保证会场上座率统计实时性基础上,具有很好的鲁棒性和准确性.     

基于可视交互理念的概率统计教学App设计研究

概率论与数理统计是高等院校理工类、经营类的重要课程之一,在考研数学中占有一席之地。互联网技术的快速发展加剧了高校课程教学重理论轻实践等问题的产生。为打破现状,充分发挥概率统计广泛应用性和内容特色,结合可视交互理念,设计开发了作为教师、课程、学生3者沟通桥梁的教学软件平台,并通过对比传统和可视化教学对贝叶斯公式教学的区别得出了可视化教学的可行性与优势。     

试验评估系统中快速实时数据统计方法的实现

试验评估系统中,快速完成数据统计是关键。试验设备运行源源不断产生的数据,以及试验评估数据库中存在日积月累的大量数据,给数据统计带来了极大的困难。传统数据统计方法以人为操作为触发,需要一次性遍历所需的所有数据,完成统计特征值的计算。该方法容易造成计算速度缓慢、计算资源不足等现象。文章研究并实现了一种快速实时数据统计的方法,提高了试验评估数据库千万条及以上量级数据统计特征值的计算效率,且占用资源少,模块运行可靠、稳定,同时能够灵活适应不同装备指标数据的统计分析处理。     

BEIRA: An Area-based User Interface for Map Services

This paper introduces BEIRA, an area-based map user interface for location-based contents. Recently, various web map services are widely used to search for location-based contents. However, browsing a large number of contents that are arranged on a map as points may be troublesome. We tackle this issue by using area-based representations instead of points. AOI (Area of Interest), which is core concept of BEIRA, is an arbitrary shaped area boundary with text summary information. With AOI, users can instantly grasp area characteristics without examining each point. AOI is deduced by performing geo-semantic co-clustering of location-based contents. Geo-semantic co-clustering takes both geographic and semantic features of contents into account. We confirm that the ratio of the geo-semantic blend is the key to deducing an appropriate boundary. We further propose and evaluate location-aware term weighting to obtain an informative summary.     

Designing a FORTRAN based system for meteorological statistics

The problems of achieving efficiency in middle weight computation are discussed with reference to experience in the Meteorological Office with the operational and research computations which support work on long range weather forecasting. An account is given of the reasoning behind the latest form of the METOCODE system, and of the objectives it is intended to fulfil.     

On the evaluation of the joint distribution of order statistics

Dunnett and Tamhane [Dunnett, C.W., Tamhane, A.C., 1992. A step-up multiple test procedure. J. Amer. Statist. Assoc. 87, 162-170.] proposed a step-up procedure for comparing k treatments with a control and showed that the step-up procedure is more powerful than its counterpart single step and step-down procedures. Since then, several modified step-up procedures have been suggested to deal with different testing environments. In order to establish those step-up procedures, it is necessary to derive approaches for evaluating the joint distribution of the order statistics. In some cases, experimenters may have difficulty in applying those step-up procedures in multiple hypothesis testing because of the computational limitation of existing algorithms in evaluating the critical values for a large number of multiple comparisons. As a result, most procedures are only workable when the design of the experiment is balanced with k≤20 or unbalanced with k≤8. In this paper, new algorithms are proposed in order to effectively compute the joint distribution of order statistics in various situations. An extensive numerical study shows that the proposed algorithms can easily handle the testing situations with a much larger k. Examples of applying the proposed algorithms to evaluate the critical values of two existing step-up procedures are also presented.     

A fire risk simulation system for multi-purpose building based fire statistics

Statistical data over the past 24 years detailing the number of fires and building floor areas published by the Taiwan government was employed to determine the fire probability, frequency, and cycle for each building category. By applying a matrix calculation, the fire probability, frequency, cycle, and risk ratio for each functional area within a multi-purpose building were obtained. With assistance from the Taiwan government, the fire case investigation and statistical data for building fires were established. By adopting the risk ratio concept, the weight values for 20 fire safety assessment criteria and 4 fire safety strategies for a multi-purpose building were acquired to indicate the possible causes of fires and the quantitative extent of fire influence.     

新的AdaBoost算法评价体系

工程实际中,往往通过对比两个AdaBoost算法在相同弱分类器数量条件下的错分率来比较算法性能,这样就忽略了在弱分类器数量增加时,错分率的波动会造成对比不准确的问题。为此,分别针对分类器性能的分类准确率、收敛速度和稳定性,提出了稳态错分率、调节规模、振荡度三个量化指标,构成了一个相对完备的评价体系。实验表明,该评价体系能更全面反映AdaBoost的分类效果。     

The Malawi foreign trade statistics information system

The Malawi Government first computerized its foreign trade statistics system in 1966. The paper traces the history of the development of the system since then and describes its current state, a disc‐based COBOL system running on ICL ME29 machines.     

Mission evaluation: expert evaluation system for large-scale combat tasks of the weapon system of systems

Mission evaluation is a new requirement for capability evaluation of the weapon system of systems (WSOS) in the era of big data, and is based on evaluating large-scale tasks with similar attributes. The use of traditional methods by military experts to evaluate large scale tasks incurs significant time cost and results in low accuracy, and is caused by a variety of factors that cause confusion. Therefore, we developed a system to assist military personnel in improving the efficiency of mission evaluation; the main innovations of our work include the qualitative and quantitative visualization of complex information is realized in a three-pane interface. We also realize the iterative and interactive evaluation modes of large-scale tasks by using the active learning method; moreover, the overall display of large-scale task evaluation results is realized using statistical graphics. In practical application, the system not only improves the users’ efficiency and accuracy scores, but also helps to achieve the recognition evaluation for the overall scoring results.     

仿真排队系统的统计计算研究

通过C 语言来仿真排队系统，该系统的数学模型为M／M／m/模型。然后用统计计算的方法来分析和研究仿真得到的数据，从而得出该系统的统计分布规律。     

航天器热试验查询统计系统的设计与实现

针对航天器真空热试验数据量大、数据利用率不高的特点,提出了一种基于数据库的试验数据查询统计方法方法,以改善现有的以文件系统为主的数据存储模式;通过对试验数据格式的分析和现有工作流程的优化,将试验数据查询系统分为系统管理、试验管理、策略管理和统计分析等四个大的功能模块,利用过滤算法自动生成试验工况点信息,并通过试验工况点自动生成单次试验的统计报告,进而实现对所有试验数据的综合查询统计功能;目前系统已应用于航天器热试验任务中,经过测试,系统功能和性能指标满足试验需求,解决了实际问题。