关于图书配套出版物的人性化管理实践的探讨

本文针对目前出现的图书的配套出版物,结合我馆的实际及人性化管理实践做了简单的论述和探讨.     

一种基于关键词的大规模DeepWeb信息检索系统

针对传统web数据集成系统实用性、伸缩性和适应性差的问题,提出了一种新的web 数据集成系统体系结构,实现web规模的数据集成。系统支持用户提交关键词查询、提取用户查询模式、映射相关领域、选择web数据库、执行查询排序查询结果。介绍了组成系统的关键组件,及创建Deep Web索引、领域映射和用户模式匹配等处理大规模异构web数据的关键技术。     

一种改进的多关系半连接数据库查询算法研究

由于普通多关系半连接优化算法,分布式数据库系统的缓冲区不能作为查询的中间结果的最后装配站点,提出了改进普通多关系半连接的数据库查询优化算法,实验结果表明改进的多关系半连接的查询优化算法明显地减少了中间结果数据量,有效地降低了网络通信总代价。     

THE DEVELOPMENT OF SIMUPRO SERIES OPERATOR TRAINING SYSTEMS FOR COMPLICATED INDUSTRIAL PROCESSES

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一种基于局部匹配的图像放大算法

本文给出了一种基于局部匹配的图像放大算法.它的主要优点就在于能够较好地保持图像的纹理特征,在主观和客观上都取得了很好的效果.,This paper gives a new algorithm to enlarge images based on local matching. Its main advantage is capable of preserving the edge of the enlarged image and improving both the subjective effect and the objective effect.     

分布式情报检索系统的拓扑模型

本文建立了分布式情报检索系统的三种拓扑模型———检索拓扑 ,伪度量拓扑和相似性拓扑 ,并证明了检索拓扑与相似性拓扑具有一定的分布式特征 ,从而说明了这两种拓扑模型在分布式意义下的合理性。     

基于现场总线的现代化实验室监控系统研究

LonWorks是新一代控制网络技术 ,以其开放、灵活等特点成为楼宇自控系统的最佳选择。笔者以现场总线的现代化实验室监控系统研究为实例 ,阐述了LonWorks控制网技术在实验室监控系统中的典型应用及设计时应注意的几个问题     

Matching Index Expressions for Information Retrieval

The INN system is a dynamic hypertext tool for searching and exploring the WWW. It uses a dynamically built ancillary layer to support easy interaction. This layer features the subexpressions of index expressions that are extracted from rendered documents. Currently, the INN system uses keyword based matching. The effectiveness of the INN system may be increased by using matching functions for index expressions. In the design of such functions, several constraints stemming from the INN must be taken into account. Important constraints are a limited response time and storage space, a focus on discriminating (different notions of) subexpressions for index expressions, and domain independency. With these contextual constraints in mind, several matching functions are designed and both theoretically and practically evaluated.     

Improved Query Matching Using kd-Trees: A Latent Semantic Indexing Enhancement

Efficient information searching and retrieval methods are needed to navigate the ever increasing volumes of digital information. Traditional lexical information retrieval methods can be inefficient and often return inaccurate results. To overcome problems such as polysemy and synonymy, concept-based retrieval methods have been developed. One such method is Latent Semantic Indexing (LSI), a vector-space model, which uses the singular value decomposition (SVD) of a term-by-document matrix to represent terms and documents in k-dimensional space. As with other vector-space models, LSI is an attempt to exploit the underlying semantic structure of word usage in documents. During the query matching phase of LSI, a user's query is first projected into the term-document space, and then compared to all terms and documents represented in the vector space. Using some similarity measure, the nearest (most relevant) terms and documents are identified and returned to the user. The current LSI query matching method requires that the similarity measure be computed between the query and every term and document in the vector space. In this paper, the kd-tree searching algorithm is used within a recent LSI implementation to reduce the time and computational complexity of query matching. The kd-tree data structure stores the term and document vectors in such a way that only those terms and documents that are most likely to qualify as nearest neighbors to the query will be examined and retrieved.     

海上丝绸之路沿线港口体系的空间布局演化

为研究海上丝绸之路沿线港口体系空间布局的演化机理,基于集散性分析理论和可视化分析软件深入分析长时间序列下海上丝绸之路沿线港口体系集散趋势变化。结果表明:1979—2015年沿线港口体系经历了"分散—集聚—分散"的集散趋势演化过程和"两极主导—东亚-东南亚主导—中国主导"的空间布局演化过程,并合理地预测未来一段时间内将维持"分散"趋势和"中国主导"的空间布局。