数据

System computes combined navigation system of GPS/IMU, VECTOR and ascendable geometry stable platform, proceeds in space registration and time synchronization, calculates the system??s accurate space, time, stance and course. Planar laser scanning data was filtered, registered space-wisely and time synchronously and fuse computered with other sensor??s data, extracted to 3D solid model of characteristic information of the road and outside of street, continuously extracted to point, line and plane, reconstructed combined with CCD camera data and visualized to 3D model true scene, finally implement acquisition and process of 3D space data timely, initiatively and integrally.

该套系统通过对GPS/IMU组合系统导航解算、VECTOR和升降几何平台进行空间配准、时间同步处理，计算出系统精确可靠的空间时间和姿态航向信息，二维激光扫描仪数据经过滤波去噪、和其他传感器数据融合、三维空间计算，解算出道路和两侧街景的三维空间数据模型，对空间激光数据模型提取点线面特征值，结合CCD相机数据进行立体重建和可视化，实现了实时、主动、完整地获取和处理三维空间数据信息。

Because the data categoricalness rules of architecture products are embodied in theCADM described by IDEF1X, the data categoricalness rules are directly established according to the relationship, which is described by the IDEF1X, among the data entity of CADM described by the IDEF1X. Then every item of data which is in the form of CADM criterion and stored in the database is checked according to the categoricalness rules, so that the data categoricalness of C~4ISR system architecture is executed.3. The verification methods of system accessibility based on CADM are studied.

2研究了基于CADM的数据完备性验证方法由于体系结构产品中数据元素的完备性规则已经完全表现在用IDEF1X描述的CADM模型中，所以论文根据IDEF1X对CADM数据实体之间关系的描述，直接建立了数据元素的完备性规则，然后根据完备性规则对以CADM规范存放在数据库中的每条数据进行检查，以此对C~4ISR系统体系结构数据进行完备性验证。

Sixthly, it also introduces knowledge management technology to resolve the analysis of custom checking center operating flow, innovation research of Customs Business and consumer relationship management. It is a long-term worthy project to continue this study on the establishment of custom risk management by data mining. There are still many further works to do, such as more effective optimizing arithmetic, text data mining, super-huge data warehouse based on UNIX and Oracle, data mining application on web, building and application of cosmical database, custom knowledge management system, and so on.

基于数据挖掘的海关风险管理体系建设，是一个长期的、内容广泛的、需要进一步深入研究的庞大课题，本人希望在很多方面继续进行研究，例如：在海关引入效率更高的数据挖掘优化算法，探讨基于海关文档资料的文本数据挖掘，探讨基于Web的数据挖掘技术在海关的应用，探讨基于UNIX和Oracle基础之上的超大规模数据仓库建设和应用，探索建立基于数据挖掘的海关知识管理体系等。

To analyze and compare the characters of Fuzzy c-Means clustering and artificial immune network aiNet clustering, conclude that Fuzzy c-Means clustering does not work well if the underlying classes or clusters deviate strongly from hyperspherical structures, aiNet is capable of reducing redundancy, describing data structure, including the shape of clusters by experiments on relatively gathering data set, scattering data set, annular data set and corkscrew data set.

分析比较了模糊C 均值聚类算法FCM 和人工免疫网络aiNet 聚类算法的特性，通过它们对相对集中数据、稀疏分散数据、环状和螺旋分布数据聚类来进行比较，得到当遇到潜在的类或簇背离超球面结构时，FCM 算法表现不佳，而aiNet 可以很好的发现数据的内在特征，减少数据中的冗余、描述数据结构和聚类形状，表现良好的适应性。

Facing the rapid incensement of large data collection, enterprises should have potent data analysis tools to transform the "fluent data" into "valuable knowledge", otherwise, large data will become "fluent data without useful information", what we call "data grave".

面对快速增长的海量数据收集，企业必须要有有力的数据分析工具将&丰富的数据&转换成&有价值的知识&，否则大量的数据将成为&数据丰富，但信息贫乏&的&数据坟墓&。

Data collected in site can be eventually be converted to knowledged data which is required in practical application i.e information only after they have been processed organized and maintained.

惠煜 ，刘世英，马秦晋现场采集的数据只有在经过了数据整理、数据组织、数据处理、数据维护等过程后，才能最终转换成实际应用所需要的知识化数据，即信息。

In general, there are three kinds of data source types, i.e., demographic data, in-dividual behavioral data and the psychographic or attitudinal data.

一般来说，数据挖掘算法中涉及数据可以归为三种基本的数据类型：人口统计学数据、个体行为数据、心理或态度数据。

The method of prediction on stochastical simulating 3D parameter field of rock mechanics is brought forward in this paper. Namely, rock mechanics parameters- curve obtained by known and limited conventional log materials is took as inputs of hard data;and seismic attribute data body, hydrating of mud shale and rock environmental parameters data is took as constraint of soft data. By simulating stochastically through optimizing algorithm of Sequential Gauss Simulation,dynamical data field of rock mechanics parameter of three-dimensional space are gotten, then log response of rock mechanics parameters in position of any point in space is predicted.

提出三维岩石力学参数场随机模拟预测的方法，即以已知有限的常规测井资料计算出来的岩石力学参数曲线作为硬数据输入，以已知地震属性数据体及泥页岩水化和岩石环境参数数据作为软数据约束，选择序贯高斯模拟方法，随机模拟得到动态规律变化的岩石力学参数的三维空间数据场，然后由岩石力学参数的三维空间数据场预测空间任一位置的岩石力学参数在井上的测井响应，并把该反映动态规律变化的测井响应按照油田勘探开发的要求输出成特定格式，供生产和工程上使用。

On the PC of the Windows Operation system, the system of 3D reconstruction has been designed by Visual C++ programming language. It includes 3D data import, display of the original and pre-process CT images, acquirement of the data showed vividly on the screen by the improved algorithms about MC and Ray Casting and mutual observation through magnification or demagnification and circumvolving.

论文以此为基础，在PC 上，基于Windows 操作系统，利用Visual C++开发工具，运用计算机图形学和图像处理技术，实现了三维体数据的输入；二维CT 图像数据的显示和预处理；通过阈值对CT 数据进行了分割；运用改进后的算法分别对分割后的数据进行了面绘制和体绘制；对绘制后的数据在屏幕上形象逼真地进行了显示；对显示的数据进行交互式的观察，如旋转、放大、缩小。

This thesis keens on the DM utilizing research in coal mine gas forecasting. It is explained about domestic and outboard researching present conditions of time series data mining, time series analysis, formalized expression and model establishment of time series. Through analysising the features of coal mine gas observing data and several species of model. This thesis declares a suitable data and model ARMA.

本文的主要研究方向是时间序列数据建模及其在煤矿瓦斯预测中的应用研究，文中就时间序列数据建模的国内外研究现状、时间序列分析、形式化表示和时间序列的建模等进行了详细的论述，在分析了煤矿瓦斯监测数据的特点和多种模型的特征基础上，提出了本文所适用的数据模型为ARMA，同时，对特定的数据进行了数据建模，并对结果进行了分析和验证。

The absorption and distribution of chromium were studied in ryeusing nutrient culture technique and pot experiment.

采用不同浓度K2CrO4(0，0.4，0.8和1.2 mmol/L)的Hoagland营养液处理黑麦幼苗，测定铬在黑麦体内的亚细胞分布、铬化学形态及不同部位的积累。

By analyzing theory foundation of mathematical morphology in the digital image processing, researching morphology arithmetic of the binary Image, discussing two basic forms for the least structure element: dilation and erosion.

通过分析数学形态学在图像中的理论基础，研究二值图像的形态分析算法，探讨最小结构元素的两种基本形态：膨胀和腐蚀；分析了数学形态学复杂算法的基本原理，把数学形态学的部分并行处理理念引入到家实际应用中。