面向业务分析与预测的企业决策支持系统设计

为了提高企业决策自动化管理水平，运用先进的数据仓库和数据挖掘技术，采用请求响应方式以及规范化的接口结构，提出一个企业信息分析及决策系统的设计和解决方案。根据完善的智能化分析手段，有效的保证决策者的经验与决策支持系统的分析和预测能力相结合，并对企业管理者提供科学准确的分析预测和决策支持。系统可实时地为用户提供有效详细的分析数据，从而大大加快决策进程并有效提高准确性。     

基于VB6．0的灰色建模系统开发及其应用

灰色系统理论是应用广泛的、用于不确定问题建模和不确定信息系统数据挖掘的一门新兴横断学科。基于VB6.0的灰色建模系统的开发填补了灰色系统理论及其应用的空白。文中阐述了该系统的开发思想、应用流程及几个关键技术,并以2002～2005年上海市上网户数预测为例,介绍了其子程序GM(1,1)的用法。该建模系统的开发有利于广大学者应用灰色系统进行建模和数据分析,促进其在应用领域的发展。     

SABUL: A Transport Protocol for Grid Computing

This paper describes SABUL, an application-level data transfer protocol for data-intensive applications over high bandwidth-delay product networks. SABUL is designed for reliability, high performance, fairness and stability. It uses UDP to transfer data and TCP to return control messages. A rate-based congestion control that tunes the inter-packet transmission time helps achieve both efficiency and fairness. In order to remove the fairness bias between flows with different network delays, SABUL adjusts its sending rate at uniform intervals, instead of at intervals determined by round trip time. This protocol has demonstrated its efficiency and fairness in both experimental and practical applications. SABUL has been implemented as an open source C++ library, which has been successfully used in several Grid computing applications.     

Mapping of Sahelian vegetation parameters from ERS scatterometer data with an evolution strategies algorithm

The West African Sahel rainfall regime is known for its spatio-temporal variability at different scales which has a strong impact on vegetation development. This study presents results of the combined use of a simple water balance model, a radiative transfer model and ERS scatterometer data to produce map of vegetation biomass and thus vegetation cover at a spatial resolution of 25 km. The backscattering coefficient measured by spaceborne wind scatterometers over Sahel shows a marked seasonality linked to the drastic changes of both soil and vegetation dielectric properties associated to the alternating dry and wet seasons. For lack of a direct observation, METEOSAT rainfall estimates are used to calculate temporal series of soil moisture with the help of a water balance model. This a priori information is used as input of the radiative transfer model that simulates the interaction between the radar wave and the surface components (soil and vegetation). Then, an inversion algorithm is applied to retrieve vegetation aerial mass from the ERS scatterometer data. Because of the nonlinear feature of the inverse problem to be solved, the inversion is performed using a global stochastic nonlinear inversion method. A good agreement is obtained between the inverse solutions and independent field measurements with mean and standard deviation of −54 and 130 kg of dry matter by hectare (kg DM/ha), respectively. The algorithm is then applied to a 350,000 km² area including the Malian Gourma and Seno region and a Sahelian part of Burkina Faso during two contrasted seasons (1999 and 2000). At the considered resolution, the obtained herbaceous mass maps show a global qualitative consistency (r²=0.71) with NDVI images acquired by the VEGETATION instrument.     

一种新型数据仓库体系的实现

针对当前流行数据仓库体系DB-DW存在的不足，引入ODS，构建起DB-ODS-DW数据仓库三层体系结构；并在分析当前通用数据仓库逻辑建模方法不足的基础上，提出将第三范式(Third Normal Form，3NF)和星型模式(Star-Schema)两种建模方法相结合来设计和实现DB-ODS-DW体系。     

基于中间件技术的GIS中并发控制

当前GIS大都采用了关系数据库作为空间数据的存储媒介，但关系数据库支持的并发控制并不完全适用于空间数据，提出了一个在GIS应用层运用中间件技术实现对二维空间数据并发控制的方法，在封锁粒度方面，采用了面向四叉树封锁，在封锁类型和封锁协议中，扩充了原有的锁，增加了强弱意向锁，使其更加协调各种不同级别的封负的并发控制，在封锁协议中，由于采用了中间件技术，只需利用一级封锁协议。     

VB与C51之间浮点类型数据的传输和转换

针对VB与C51在通信时存在的类型转换问题，本文比较并分析了它们的数据类型与通信特点，提出了几种传输浮点类数据的方法，并给出了应用实例。     

小波分析在三维地形数据简化中的应用研究

研究了小波分析在三维地形数据简化中的应用。在分析了小波多分辨率分析理论的基础上,重点探讨了小波多分辨率分析理论在三维地形简化中的应用,提出了实现三维地形数据简化的一种新的方法。     

大量空间数据可视化的算法

在大量应用中，空间数据的采集和使用都是通过其空间位置进行的。在大小有限的屏幕上显示大量的空间数据常会因为邻结点的高度重叠而导致较差的视觉效果。该文提出一种可视化大量空间数据的新方法。其主要思想就是用未被使用的像素点巧妙地代替重叠的数据点。介绍了两种解决方法：(I)将重叠的数据点放置在最近的未被占用的像素点上；(2)将数据点沿着屏幕填充曲线移动。接着，发展了一个更为成熟的方法叫栅格划分算法。最后，提出了一种有待进一步研究的新方法;基于最近邻接方法的聚类方法，并指出了今后研究的方向。     

基于蚁群聚类算法的离群挖掘方法

离群挖掘是数据挖掘研究的重要内容,在实际生活中获得广泛应用。该文首先给出了离群数据的量化定义,并用基于蚁群的聚类学习方法,产生了状态空间的整体特征。然后结合具体的设备对象,提出了离群数据的挖掘方法。最后进行了实验验证,结果表明该文提出的方法是有效的。