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。     

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。     

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。     

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。     

基于Oracle的GML空间数据存储研究

随着GML规范的不断完善及GIS软件供应商的广泛支持，GML已经成为事实上的空间数据编码、传输、存储、发布的国际标准，越来越多的空间数据开始以GML格式存储。如何有效地存储管理GML空间数据，已经成为GIS研究的热点问题。首次尝试利用Oracle数据库对GML数据进行存储管理，采用Oracle XML DB提供的3种存储方式，分别对其进行存储，并分析比较。利用Oracle数据库存储GML空间数据的研究，将有利于推动GIS之间的数据共享及Web GIS的发展。     

Web数据库访问技术的探讨研究

WEB数据库访问技术越来越受到人们的关注,文章介绍了几种WEB数据库访问的实现方法:CGI,API,JSP,ASP以及ASP.NET,论述了各自的优缺点。并且详细介绍了ADO.NET。ADO.NET是微软最新的WEB数据库访问技术,文章通过一个具体的实例来操作SQLServer2000数据库,其方法和技巧对指导WEB数据库应用系统上有一定的实用价值。     

Development of a Composite Knowledge Manipulation Tool: K-Expert

A goal of this study is to develop a Composite Knowledge Manipulation Tool (CKMT). Some of traditional medical activities are rely heavily on the oral transfer of knowledge, with the risk of losing important knowledge. Moreover, the activities differ according to the regions, traditions, experts’ experiences, etc. Therefore, it is necessary to develop an integrated and consistent knowledge manipulation tool. By using the tool, it will be possible to extract the tacit knowledge consistently, transform different types of knowledge into a composite knowledge base (KB), integrate disseminated and complex knowledge, and complement the lack of knowledge. For the reason above, I have developed the CKMT called as K-Expert and it has four advanced functionalities as follows. Firstly, it can extract/import logical rules from data mining (DM) with the minimum of effort. I expect that the function can complement the oral transfer of traditional knowledge. Secondly, it transforms the various types of logical rules into database (DB) tables after the syntax checking and/or transformation. In this situation, knowledge managers can refine, evaluate, and manage the huge-sized composite KB consistently with the support of the DB management systems (DBMS). Thirdly, it visualizes the transformed knowledge in the shape of decision tree (DT). With the function, the knowledge workers can evaluate the completeness of the KB and complement the lack of knowledge. Finally, it gives SQL-based backward chaining function to the knowledge users. It could reduce the inference time effectively since it is based on SQL query and searching not the sentence-by-sentence translation used in the traditional inference systems. The function will give the young researchers and their fellows in the field of knowledge management (KM) and expert systems (ES) more opportunities to follow up and validate their knowledge. Finally, I expect that the approach can present the advantages of mitigating knowledge loss and the burdens of knowledge transformation and complementation.     

一个自动确定聚类数目的微粒群算法

提出了一个微粒群优化算法（autoPSO）自动聚类高维数据。autoPSO优化了Davies-Bouldin（DB）有效性函数,并将聚类问题转化为一个界约束的连续函数的优化问题。用一个实数矩阵和一个二进制向量来表示微粒,使得同一迭代中能够表示具有不同聚类数目的划分;并且,在二进制向量的控制下指导相关联的实数矩阵交叉操作,保持算法良好的种群多样性,避免算法早熟收敛。通过高维模拟数据集的实验结果表明,本文算法不需要预设聚类数目k,能够自动正确识别高维数据的聚类。