信息系统集成与数据集成策略分析

数据集成是信息系统集成的核心,本文分析了信息系统集成的基本概念和数据集成的基本概念,和二者之间的关系,重点介绍了数据集成模型的分类和其中的难点,即数据源异构性及它们之间的转换方法,最后做了前景展望.     

信息系统中的数据集成方法研究与应用

针对数据集成问题,在分析了目前数据集成方法的基础上,结合了Excel的特点,提出了一种适合于中小型企业的异构数据转换体系结构.详细介绍了此集成方法的思路和具体实现模型,并将其应用于实际项目中.     

消防信息系统数据集成的研究与应用

消防信息系统数据应用中存在信息孤岛、数据分散存放、利用率不高等问题,数据集成是解决这些问题的最佳方案。文章对当前三种数据集成方法进行分析,提出基于中间件、数据仓库、元数据管理相结合的消防信息系统数据集成的三层架构,以满足消防信息系统不同的数据需求,对三层架构的内容和重要模块进行详细描述。     

关于办公信息系统集成技术的分析

办公信息系统是公司办公流程的网络化集中体现,针对现阶段存在的各种问题如办公效率低、系统流程复杂等,因此系统提出一种集成技术,结合各种系统流程、系统功能,完成不同应用系统中用户身份集中认证、集中授权,实现一站式管理,促进工作效率的提升。基于此,文章首先对办公信息系统与系统集成进行分析,对系统集成技术进行研究,对办公信息系统集成牵涉的技术进行探讨。     

浅析煤矿监控和调度信息系统信息化集成发展

煤矿的安全生产,是我国一直都很重视的问题。为了确保我国煤矿安全作业,研发了煤矿监控和调度信息系统,这个系统对于提高煤矿的安全和经济效益产生了巨大的影响。本文主要是对黄陵矿业信息化发展的现状进行简要分析,并对黄陵矿业安装了监控和调度信息系统进行相关的对比,并对它的发展进行了相关的探索。     

大型智能信息系统的集成数据质量评估方法

为评价和改进大型智能信息系统的运行质量,需要建立准确有效的智能信息系统集成数据质量评估方法.分析智能信息系统集成数据质量的特征,探讨了基于智能信息系统数据质量评估的基本指标,提出基于质量功能展开(QFD)的数据质量测量元的确立方法,构建了集成数据质量的通用化评估模型,并阐述该模型的构造过程和定量计算方法.     

语音数据集成技术

随着网络技术的迅速发展,电子商务日益繁荣。本文介绍了企业商务的电子化进程,怎样把Internet技术与传统技术信息系统的巨大资源（如S／390,AS／400,SVA和PSTN／PBX系统）相结合,以及语音─数据集成技术在电子商务中的重要作用。     

电力企业异构数据集成研究

整合异构数据源是电力企业提升信息化水平的必由之路,为了能够在企业各系统间实现异构数据的挖掘、分析、交互和共享,提出了一个电力企业异构数据集成平台,实现了企业内部异构数据接入格式、数据存储以及相关服务接口标准化的数据共享和交换服务.实际应用表明,该平台实现了各异构平台数据的共享与交互,为电力企业信息化奠定了坚实的基础.     

信息系统集成与国民经济信息化研究

本文简略阐述了国民经济信息化的内涵,介绍了国民经济信息化视角下的信息系统集成建设现状,在明确信息系统集成项目建设难点、需求和信息系统集成层次的基础上,从信息系统集成设计以及技术和软件开发应用几方面着手,对国民经济信息化视角下的信息系统集成建设进行了详细分析,旨在为相关人员提供参考,切实保障信息系统集成项目的高质量建设,有效适应当前国民经济信息化的发展形势,在促进企业自身不断进步的基础上为社会经济的整体发展奠定坚实的基础。     

XML技术在数据集成与共享中的应用

文中利用XML技术,构建了基于XML的数据集成模型,并根据上述模型,设计并实现了基于XML的数据集成中间件,重点介绍中间件的体系结构、基本原理、构建过程以及组成模块,通过上述中间件的实现,解决校园网不同应用系统中异构数据库之间的数据集成与共享问题,避免了校园网中"信息孤岛"的发生。     

税务数据整合中的数据质量问题

经过二十多年的努力，税收信息化已经取得了重大进展，建立了很多业务系统．在税收工作中发挥了重要作用。但这些系统相互隔离，形成了一个个信息孤岛。为了提高数据的利用率，为税务决策提供有效的数据支持，有必要对数据进行整合，数据整合的关键要素之一就是数据质量问题。本文结合税务数据整合的实际，对数据整合中的数据质量问题做了深入地分析，并提出了相应的解决方法。     

银联数据仓库系统中ETL的设计和实现

针对银联数据的特点，设计实现了银联数据仓库ETL系统。该系统采用模块化的设计方式，增强了系统的可控性和灵活性。元数据模块使ETL系统能够灵活地适应银联业务逻辑的频繁变化；调度模块采用线程池技术．改进了以往多线程技术，提高了数据抽取的效率和系统资源的使用率；日志、监控信息及通知模块解决了系统出错快速恢复的问题。测试表明该ETL系统很好地满足了银联的需求。     

三峡库区地质灾害数据仓库的ETL技术研究

结合三峡库区地质灾害数据仓库框架和库区数据的特点,提出了一套地质灾害数据仓库的ETL解决方案,并针对数据抽取、转换、加载等关键技术进行了研究,最后以单体地质灾害（滑坡）为例,说明了地质灾害数据仓库ETL的具体实现过程。     

银行数据仓库系统中ETL的总体设计与实现

从银行数据仓库系统中数据的抽取、转换和上载（Extraction Transformation and Loading,ETL）的总体设计出发,分别阐述了EDW-ETL和OLAP-ETL的设计策略及实现方法,给出了实现完整的银行数据仓库系统的ETL方案。该方案对企业实现数据集中、规划和建设数据仓库系统,具有一定的借鉴意义。     

A Survey of Techniques for Auditing EDP-Based Accounting Information Systems

The primary objective of this paper is to review the extant literature concerning auditing and EDP systems. We trace the flow of EDP-auditing development, note salient points of similarity and difference in techniques and relate these issues to the auditors' professional responsibilities. We hope that this will contribute to efficient consideration of the past literature by those developing an interest in auditing-EDP systems. We also hope that it will encourage efficient progress in the effort to develop new EDP-auditing research. With this in mind, we have included a short section on new approaches to EDP-auditing which presents information on systems design involvement, software standardization and formal system assertions.     

The Role of Artificial Intelligence in the Integration of Remotely Sensed Data with Geographic Information Systems

Although databases for geographic information systems (GIS) have been developed to manage digital map data, the integration of remotely sensed imagery and other collateral non-map information is rarely performed. For the most part, the use of sophisticated intelligent spatial databases, in which the user can query interactively about map, terrain, or associated imagery, is unknown in the GIS and cartographic community. In standard GIS systems, the ability to formulate complex queries requiring dynamic computation of factual and geometric properties is severely limited, often reflecting its origin as collections of thematic map overlays. Spatial database research requires the integration of ideas and techniques from many disciplines such as computer graphics, computational geometry, database methodology, image analysis, photogrammetry, and artificial intelligence. In this paper we discuss some ideas on how the scope of geographic information systems can be expanded by utilizing techniques from the Al community that may remedy deficiencies in user interfaces, spatial data representation, and its utilization. We draw on ongoing research at Carnegie Mellon University for examples of these techniques in the areas of image/map database and knowledge-based image interpretation.     

Big Data in Intelligent Information Systems

Mobile Networks and Applications -     

人体生命信息探测系统中的传感器技术

从生物、物理场论的角度诠释人类生命信息的能量形式;解析了采集生命信息的传感器技术机理与学科基础;给出了生命信息采集与定位系统设计的科学路线与典型应用.对我国救助体系中的生命探测技术作了分析说明.最后对生命探测技术的发展方向进行了展望.     

Data Integration for Medical Information Management

We present a new method for data integration and security by mixing medical waveforms and images with encrypted patient identifiers and unencrypted ancillary information, such as acquisition parameters, diagnostic comments and notes in textual, pictorial, and voice forms. We vary the sampling rate according to the instantaneous frequency of the signal. Redundant samples (or pixels) are eliminated and replaced by associative data which are labeled using a status string encoded based on the Huffman and run-length techniques. This method achieves both data compression and integration simultaneously, allows synchronized presentation of information from different sources by using multimedia technology, and provides data security features. Mingui Sun received a B.S. degree from the Shenyang Chemical Engineering Institute, China, in 1982, and M.S. and Ph. D. degrees in Electrical Engineering from the University of Pittsburgh in 1986 and 1989, respectively. He was a Graduate Student Researcher from 1985 to 1989 working on signal and image processing projects. Currently, he is a Associate Professor and an Associate Director of the Center for Clinical Neurophysiology in the Department of Neurosurgery at the University of Pittsburgh, and a Director of Research at Computational Diagnostics, Inc. His current research and development interests include advanced biomedical electronic devices, biomedical signal and image processing, sensors and transducers, biomedical instruments, artificial neural networks, wavelet transforms, time-frequency analysis, and the inverse problem of neurophysiological signals. He has over 160 publications in these areas. Qiang Liu received his B.S. and M.S. degrees in electrical engineering from Xidian University, Xian, China, in 1996 and 1999 respectively. He is currently a Ph.D. student at the University of Pittsburgh, Pittsburgh, USA. His further research interests include biomedical signal processing, medical imaging, and image/video segmentation, coding and transmission. Robert J. Sclabassi received the B.S.E. degree from Loyola University, Los Angeles, the M.S.E.E., Engineer in Electrical Engineering, and Ph.D. degrees in electrical engineering from the University of Southern California, and the M.D. degree from the University of Pittsburgh. He was employed in the Advanced Systems Laboratory at TRW, Los Angeles, and was a postdoctoral fellow at the Brain Research Institute at the University of California, Los Angeles. He was on the faculties of Department of Neurology and Biomathematics at UCLA until he joined the University of Pittsburgh. Dr. Sclabassi is currently a Professor of Neurological Surgery, Psychiatry, Electrical Engineering, Mechanical Engineering, Psychiatry, and Behavioral Neuroscience at the University of Pittsburgh. Dr. Sclabassi has published over 400 papers, chapters and conference proceedings. Dr. Sclabassi is a Registered Professional Engineer.     

System-Reliability Evaluation Techniques for Complex/Large Systems?A Review

This paper is a review of literature related to system reliability evaluation techniques for small to large complex systems. The literature is classified according to system models and evaluation techniques. The technique(s) we recommend for each system model are indicated.