查询词典 statistical data analysis

Data and bss define the section to be a data section, analogously to code. Data sections are marked as readable and writable, but not executable. data declares an initialised data section, whereas bss declares an uninitialised data section.

data和bss定义一个数据段，类似code，数据段被标识为可读可写，但不可执行，data定义一个被初始化过的数据段，bss定义一个未初始化的数据段。

Base on the systematically geological investigation and study, we choose to use aremote sensing data source,the geography control data source(1:50,000relief map of Qiaojia and measured GPS ) as the data source of this research, adopt"Digital Landslide"processing image data, and carry on time-space analysiscombining geological investigation and related data. Application aerodynamicist theories, some important conclusions that obtained from the wind-tunnel experiment,and according to the time –space analysis result, we analyzed the landslide dammingmovement mechanism, presumed the movement format of this high-speed landslide,studied the formation mechanism and the movement characteristic of this landslide ,calculated it's movement equation, applied VC language to write calculationprocedure of each stage of the landslide, computed movement speed and displacement,and made sure its possible stop district.

本文在前人研究的基础上，选用遥感数据源、地理控制数据源(1：5万巧家幅地形图及实测GPS点)为本研究的数据源，采用"数字滑坡"技术处理图像数据，结合野外实地考察及相关资料对石膏地滑坡进行了时空分析；运用空气动力学理论，采用胡厚田等人在风洞实验中得出的许多重要结论，根据时空分析结果分析滑坡的运动机理，推测高速滑坡的运动模式；研究石膏地滑坡的形成机理、运动特征及运动方程，并用C++语言在VC开发环境中编写滑坡各阶段的计算程序，计算滑坡的流动速度及运动位移，确定其可能的停止区域。

To design a basic evaluation model of attribute data in GIS, using various theory of data quality, this paper makes a deep analysis of quality control and evaluation of attribute data and brings forward a effective measure against error in attribute data. A good method is presented to improve precision of attribute data in this paper.

为了给出一个GIS属性数据质量评价的基本模型，结合已有的数据质量理论，本文对属性数据的质量控制与评价进行了深入分析与研究，给出了GIS属性数据质量控制的有效措施，并提出了提高属性数据存储、操作精度的方法。

In GIS, data quality is one of the key aspects.The Recent studies of data quality in GIS most focus in the error of spatial data. The error study on attribute data is very weak. Most studies centralize in precision analysis of attribute data from remote sensing and introduction of new method. The studies of attribute information quality stored in RDB are very weak.

近年来，GIS数据质量的研究集中在位置数据的误差上，而对属性数据误差的研究较少，多年来的研究主要集中在遥感分类属性数据的精度分析和一些新方法的引入上，而关系数据库存储的属性信息质量方面的研究相对比较薄弱。

This invention provides an on-line analysis method and system for combined gas and steam cycle power station's efficiency, which comprises an on-site data-collecting unit, used to check the sub-devices state parameter in power station; a data base server linked to on-site data-collecting unit to stored the state parameter provided by data-collecting unit; modular arithmetic server used to calculate the gross operation efficiency of power station based on the data base state parameter and the influence degree caused by sub-devices property to the gross operation efficiency; client device to receive command input by clients and output the calculating result by modular arithmetic server.

本发明提供一种燃气―蒸汽联合循环发电站运行效率的在线解析方法和系统，在线解析系统包括：现场数据采集单元，用于测量电站各分设备的状态参数；与现场数据采集单元相连的数据库服务器，用于存储现场数据采集单元测量得到的状态参数；模型运算服务器，其根据从数据库提取的状态参数并计算电站的总运行效率和当前状态下电站各分设备性能对电站总运行效率的影响程度；客户机，其接收用户输入的命令并输出模型运算服务器的计算结果；网络，其将数据库、模型运算服务器和客户机连接在一起。

There used to be two primary methods to optimize program data locality: the first is to analyze cache behavior of program data, then basing on cache behavior model, build a program analysis tool which shows the bottlenecks of data cache performance and hence directs programmer to tune performance of data cache; the second is program transformation by an optimizing compiler or an optimizing tool, and data cache performance is optimized in the transformation.

过去在这方面的工作有两个重要的思路：一是针对程序运行时的访问数据，利用相关的Cache行为模型，建立一些程序分析工具，从源代码级给出程序Cache性能的瓶颈，指导程序员通过程序变换来优化程序的局部性，从而提高Cache性能；二是在编译器上开发编译优化过程，或者开发专门的程序优化工具，通过对程序进行分析，在此基础上自动进行程序变换，包括代码变换和数据变换两种，优化程序的局部性，从而提高 Cache性能。

The data capture mainly gathers the data from the network. Protocol analysis can analyse every segment of the data packet according to protocol standard. Data recover can recover all the data of the application layer of the TCP connection. IP spoofing can construct all kinds of packets and realize the network attack. Real-time interruption can interrupt the TCP connection of Both sides of communication as the third party. Fire wall can realize network access control. Then the system can protect the network information safety from many aspects.

数据捕获主要完成从网络采集数据的功能；分析还原包括协议分析和数据还原两部分内容，协议分析可以对捕获到的数据包按照网络协议规范分别进行各协议字段分析，数据还原功能可以将每条TCP连接中传输的所有应用数据进行重新组合，还原出原来数据的内容；IP欺骗指构造各种功能的数据包，实现网络攻击；实时阻断指第三方实时阻断通信双方的TCP连接，禁止他们进行数据通信；防火墙主要实现网络访问控制，保护内部子网的功能。

The major achievement of this paper is: Based on characteristics of the traffic data distribution, execute pattern recognition operations on traffic condition on two dimensions by clustering, then use BP neural network to describe and forecast traffic flow aiming at each pattern. Making use of classic flow-occupancy inverse "V" model, implement polynomial fitting using least-squares algorithm and statistics method on flow curves to detect outliers which are proved to be not accord with practice through the actual implement, then use the moving average model to recorrect the outliers and absent. Make correlation analysis on muti-direction flow queues of the intersection and ones of upriver intersections, choose flow queue with high correlation as assistant one to improve the error tolerance of the prediction system, at the same time we can use the method to give an estimation of flow in intersection with out sensors. We design and implement an SOA(Service-Oriented Architecture)-based UTDD(urban traffic data mining development) with high expansibility and performance, which implement unified management and call of the data-mining application though defining a XML-based description of data-mining process and a common interface to call data-mining process, finally we build traffic flow prediction application model on UTDD.

根据交通流量数据分布的特征，提出基于k-means的二次聚类方法，对交通流量在流量大小和时间上进行模式划分，进而对各个交通流模式进行基于BP神经网络的描述和预测，从而提高模型对流量预测的精度； 2）根据流量/时间占有率倒&V&字形曲线分布模型，提出基于最小二乘法的三次多项式曲线拟合和统计方法的异常检测方法，实际应用表明该方法能够有效识别异常数据，然后根据移动平均算法对异常数据进行修正； 3）基于序列相关性分析，分别对预测方向的交通流量数据序列、上游路口相关序列以及预测路口其它各个方向上的交通流量序列进行分析，选择相似性流量序列，作为辅助序列提供其他没有检测器路口的流量估计； 4）设计和实现了基于SOA（Service-Oriented Achitecture）的高性能、可扩展的智能交通数据挖掘系统UTDD，该系统通过定义基于XML的数据挖掘过程描述和通用的过程模型接口，实现数据挖掘应用的统一管理和调用，最后在UTDD上建立了基于路口流量预测的应用模型。

ABSTRACT With the rapid development of computer and data warehouse techniques, large amount of data is stored. The rapid growth demand for extracting, understanding and assimilating useful knowledge from the growing mountains of data outpaces the traditional methods of data analysis, which leads to the emerging field of knowledge discovery in databases and data mining.

随着计算机技术和数据仓库技术的快速发展，存储的数据急剧增长，而传统的数据分析和查询方法已经不能满足人们对隐含在数据中的知识的渴求，数据库知识发现和数据挖掘应运而生，并得到迅速发展。

The data acquisition system of this system adopts configuration software MCGS (Monitor and Control Generated System), the establishment of the database , the display of real-time data and historical data , design of the interface, connection of the cartoon and the realization of different curves such as course curve of noise and temperature , course curve of pressure fluctuation and course curve of work efficiency , etc. are finished in development and design of the data acquisition system. Having made comparatively deep research on the vibration theory and combining this theory with the practical pumping station pectrum analysis to data of this pumping station is carried through and the preliminary diagnosis result is received.

本系统的数据采集系统采用组态软件MCGS，在数据采集系统的开发与设计中，完成数据库的建立，实时数据与历史数据的显示、界面的设计，动画的连接，各种曲线的实现，如噪音与温度过程曲线、压力脉动过程曲线和工作效率过程曲线等；对振动理论做了较为深入的研究，并将理论与实际泵站结合，对该泵站的数据进行频谱分析，并得到初步的诊断结果。

The French are not suggesting a new EU treaty, but they have plenty of other wheezes.

法国人并不是在建议签署一个新的欧盟条约，但他们有许多其他的阴谋。

This letter was written by my brother.

这封信是我弟弟写的。