CineCubes: Aiding data workers gain insights from OLAP queries

In this paper we demonstrate that it is possible to enrich query answering with a short data movie that gives insights to the original results of an OLAP query. Our method, implemented in an actual system, CineCubes, includes the following steps. The user submits a query over an underlying star schema. Taking this query as input, the system comes up with a set of queries complementing the information content of the original query, and executes them. For each of the query results, we execute a set of highlight extraction algorithms that identify interesting patterns and values in the data of the results. Then, the system visualizes the query results and accompanies this presentation with a text commenting on the result highlights. Moreover, via a text-to-speech conversion the system automatically produces audio for the constructed text. Each combination of visualization, text and audio practically constitutes a movie, which is wrapped as a PowerPoint presentation and returned to the user.     

DB18C6/SiO2复合材料对Zr(IV)和Hf(IV)吸附性能研究

通过溶液p H值、吸附动力学、吸附等温线、吸附热力学试验,考察了DB18C6/SiO2复合材料对水溶液中Zr(Ⅳ)和Hf(Ⅳ)的吸附行为。结果表明,25℃下,溶液p H值为1.5时该吸附材料对Zr(Ⅳ)和Hf(Ⅳ)的吸附量最大,且吸附过程符合准二级动力学方程;DB18C6/SiO2对Zr(Ⅳ)的吸附行为属于放热自发过程,吸附等温线符合Langmuir等温吸附模型;而对Hf(Ⅳ)的吸附行为属于吸热自发过程,吸附过程更符合Freundlich等温吸附模型。此外,文中还通过元素分析和N2吸附分析确定了该复合材料的冠醚键合量和比表面积。     

还原黑DB合成工艺研究

以还原深蓝BO(紫蒽酮)为原料,浓硝酸为介质和硝化剂,合成了还原黑DB(硝化紫蒽酮),并对合成工艺进行了研究。合成条件为:反应温度为(70±2)℃,保温3 h,m(硝酸)∶m(除铜BO滤饼折干算)=4.2∶1,在此条件下,目标产物收率达到90%,色光强度与标准样接近。此工艺条件简单,流程短,成本低,三废污染少,实现了清洁生产。     

OLAP在连锁超市中的应用研究

在OLAP技术的基础上,针对我国大、中型连锁超市的特点,提出了数据仓库多维分析模型设计方法,并用多维立方体查询语言进行数据的查询与操作,为数据仓库的数据分析提供了必要的基础。     

基于Microblaze的SPI数据存储

为了使数据能够得到快速存储和读取,文中采用Xilinx FPGA内带的32位嵌入式软核处理器Microblaze及其外设IP核,实现了对四线spi接口flash At45db321d的读写操作,并成功运用到了大字符喷印设备的研发中,其性能稳定可靠。     

基于数据仓库的煤炭企业报表系统的设计与实现

将数据仓库技术应用于报表系统,从大量的运营数据中提取出关键数据,同时发现有用的信息,对于帮助企业管理人员制定正确的决策,提高企业整体竟争力有着重要的意义。针对某煤炭企业对制作报表所提出的需求,设计并开发了基于数据仓库技术的出帐分析报表系统,其核心部分就是构造数据仓库。     

Exergoeconomic and exergoenvironmental evaluation of power plants including CO2 capture

CO₂ capture from power plants, combined with CO₂ storage, is a potential means for limiting the impact of fossil fuel use on the climate. In this paper, three oxy-fuel plants with incorporated CO₂ capture are evaluated from an economic and environmental perspective. The oxy-fuel plants, a plant with chemical looping combustion with near 100% CO₂ capture and two advanced zero emission plants with 100% and 85% CO₂ capture are evaluated and compared to a similarly structured reference plant without CO₂ capture. To complete the comparison, the reference plant is also considered with CO₂ capture incorporating chemical absorption with monoethanolamine. Two exergy-based methods, the exergoeconomic and the exergoenvironmental analyses, are used to determine the cost-related and the environmental impacts of the plants, respectively, and to reveal options for improving their overall effectiveness.For the considered oxy-fuel plants, the investment cost is estimated to be almost double that of the reference plant, mainly due to the equipment used for oxygen production and CO₂ compression. Furthermore, the exergoeconomic analysis reveals an increase in the cost of electricity with respect to the reference plant by more than 20%, with the advanced zero emission plant with 85% CO₂ capture being the most economical choice. On the other hand, a life cycle assessment reveals a decrease in the environmental impact of the plants with CO₂ capture, due to the CO₂ and NO_x emission control. This leads to a reduction in the overall environmental impact of the plants by more than 20% with respect to the reference plant. The most environmentally friendly concept is the plant with chemical looping combustion.     

基于BDB的XML检索引擎算法设计与实现

XML作为互联网数据交换及数据表现的标准,其重要性日益凸显,如何从大量的XML中挖掘有效信息已成为目前亟待解决的问题。设计并实现一个基于BDB的XML检索引擎算法XObject,通过构造关键词结构查询路径、进行结构聚类,并最终在BDBXML执行Xquery查询实现本地XML的关键字检索,从而解决XML信息挖掘中的关键技术课题——xML信息检索。     

数据仓库及数据挖掘技术在超市中的应用

数据仓库技术是信息领域一门新兴的技术。对数据仓库,以及基于数据仓库的联机分析处理和数据挖掘技术进行了简单概述,并详细介绍了数据仓库在超市销售系统的应用。在建立数据仓库的基础上,实施数据挖掘技术,得到信息的分析和预测,制定决策支持的过程。     

OLE DB/ADO数据访问对象和接口

从整体上介绍了LOD DB和ADO的组成结构以及相互关系，提供了使用它们编写数据访问时应用程序的编写模型。