热轧平整工艺专家系统的研究

从几个方面对热轧平整工艺规程专家指导系统的开发进行了阐述。指出专家系统的基本功能和结构、系统开发所采用的技术以及系统的应用模式等。实际应用表明该系统的开发达到了改进平整工艺，提高平整质量的目的。     

Locally linear metric adaptation with application to semi-supervised clustering and image retrieval

Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the conventional clustering problem called semi-supervised clustering, which performs clustering in the presence of some background knowledge or supervisory information expressed as pairwise similarity or dissimilarity constraints. However, existing metric learning methods for semi-supervised clustering mostly perform global metric learning through a linear transformation. In this paper, we propose a new metric learning method that performs nonlinear transformation globally but linear transformation locally. In particular, we formulate the learning problem as an optimization problem and present three methods for solving it. Through some toy data sets, we show empirically that our locally linear metric adaptation (LLMA) method can handle some difficult cases that cannot be handled satisfactorily by previous methods. We also demonstrate the effectiveness of our method on some UCI data sets. Besides applying LLMA to semi-supervised clustering, we have also used it to improve the performance of content-based image retrieval systems through metric learning. Experimental results based on two real-world image databases show that LLMA significantly outperforms other methods in boosting the image retrieval performance.     

含锰铁氧体研发专家系统探讨

从专家系统的概念和求解问题的原理出发,对含锰铁氧体研发专家系统开发的可行性、结构、求解问题的具体过程进行了探讨。在该专家系统的综合数据库、知识库、推理机的设计上提出了一些想法,讨论了在开发该系统的过程中存在的主要困难及可能的解决方法。展望了该系统的应用前景。     

自动性能诊断技术

企业数据库在大小和数量上的不断增长使得系统管理的复杂性也随之增加。该文介绍的Oracle数据库10g新性能诊断技术和监控技术。可以在不受工作负载影响的情况下,简化管理、提高效率以及降低与系统管理相关的成本,该技术大大简化了Oracle数据库的诊断和调整过程。     

A knowledge-based framework for extracting components in agile systems development

Considerable strides have been made in the use of components in software development. Many proprietary enterprise resource planning (ERP) software environments use modular components to develop and customize “best practices” to meet a specific organizational need. In agile application development, many developers and users are asked to design systems in a short period of time. These applications may use components that are embedded in software repositories. The challenge then is how to select the right software components (data and procedures) to meet an application requirement. Although experienced developers may select and customize components to meet the needs of an application, such expertise may not be available to other applications. This paper presents a knowledge-based framework to select and customize software components and demonstrates its value in deriving quality specifications, even when the developers are relatively inexperienced.     

基于语义Web的精品课程资源库本体的建立

资源共享是高校精品课程资源建设的重要目标之一,但是,现有的Web技术很难使精品课程资源得到充分有效的利用。本文将语义Web技术应用于精品课程资源建设中,在分析精品课程资源库的基本功能的基础上,构建精品课程资源库本体,并在Protege3.4.1中实现本体模型,最后对该本体进行评估,从而论证该本体的有效性,为高校精品课程资源建设提供可供参考的建议。     

基于SCORM的学习知识库交换模型的设计

为了提高学科知识库在不同学习管理平台之间的共享和重用,在分析了学科知识库结构和知识点关系的基础上,提出了一种基于知识点的学科知识库交换模型.该模型遵照SCORM的语法结构,并根据学科知识体系表达的需要,扩展了SCORM规范的语义;同时针对SCORM模型的不足,扩展了item元素来适应学科知识库的资源引用方式.最后通过示例表明了该模型的可行性,并讨论了学科知识体系的规范表达机制和符合规范的学科知识库的构建方法.     

A prototype classifier based on gravitational search algorithm

In recent years, heuristic algorithms have been successfully applied to solve clustering and classification problems. In this paper, gravitational search algorithm (GSA) which is one of the newest swarm based heuristic algorithms is used to provide a prototype classifier to face the classification of instances in multi-class data sets. The proposed method employs GSA as a global searcher to find the best positions of the representatives (prototypes). The proposed GSA-based classifier is used for data classification of some of the well-known benchmark sets. Its performance is compared with the artificial bee colony (ABC), the particle swarm optimization (PSO), and nine other classifiers from the literature. The experimental results of twelve data sets from UCI machine learning repository confirm that the GSA can successfully be applied as a classifier to classification problems.     

数据仓库元数据管理研究

元数据管理是数据仓库技术研究的重点，该文首先对于数据仓库元数据管理的前提－元数据组成及分类进行了探讨，其次就数据仓库元数据管理系统应具备的功能进行了深入的研究，基于对元数据管理系统功能的研究，文章提出了一种邦联式的数据仓库元数据管理体系，同时给出了一种元数据库系统结构，指出了数据仓库元数据管理下一步研究工作的重点。