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关键词： 医学院   中国学术期刊(光盘版)   中文生物医学期刊数据库   学报   包头   数据库系统   中国期刊网   医学光盘数据库  

摘要： 《包头医学院学报》是医学综合性学术期刊(月刊),经国家科委和新闻出版总署批准,国内外公开发行。设有基础医学、预防医学、临床医学、祖国医学、护理医学、技术方法、病例报告、教学与管理、综述等栏目。本刊被评为"北方优秀期刊"、"内蒙古优秀科技期刊",被《中国核心期刊(遴选)数据库》、《中国期刊网》、《中国学术期刊(光盘版)》、《万方数据库系统(ChinaInfo)》全文收录,为《中国学术期刊综合评价数据库》统计源期刊,被《美国化学文摘(CA)》、《中文生物医学期刊数据库(CMCC)》、《中国生物医学光盘数据库(CBMDisc)》等数据库收录。

关键词： GIS   土地利用总体规划   数据库   系统设计  

摘要： 目的基于地理信息系统土地利用总体规划数据库系统设计的思考,对地理信息系统在实现土地利用规划成果的妥善处理以及提高土地的利用率两个方面起到的作用展开研究。方法以某县城土地利用总体规划问题为研究对象,从系统设计的原则、主要目标、模块设置、系统硬件设计和系统模块设计几个方面入手,对基于GIS下土地利用总体规划数据库系统的设计展开分析。结果通过对系统的实际应用进行讨论,对系统关键技术的实现过程做出研究。结论基于GIS下土地利用总体规划数据库系统的理论、方法与技术,在土地适宜性评价、土地人口承载力系统以及土地利用优化配置系统中应用均取得了不错的成效。

关键词： 红外图谱数据库   电力系统   带电设备  

摘要： 红外热成像技术在电力系统设备测温中得到广泛的应用,通过红外图谱数据库系统能实现对电力系统设备状态的科学化管理。与传统方法相比,新设计的系统能减少基层人员的工作量,提升电力系统设备的日常运行效率,节约大量人力、物力。

关键词： 大数据   NoSQL   NewSQL   数据库   课程  

摘要： 针对新一代NoSQL和NewSQL技术,以及软件工程专业本科生数据库课程教学存在授课内容陈旧、学生数据库应用系统分析与设计能力不够、课程讲授与实验一直采用国外数据库产品等现状,重构数据库教学中的讲授内容和课程实验内容.将思政教育元素融入数据库教学中,构建新一代数据库教学课程知识体系.阐述大数据时代的数据库系统课程建设研究与实践,包括教学目标、课程内容、课程结构、教学计划和课程评价方法.实践结果表明,学生们对最新一代的数据库技术很感兴趣,课程效果良好,有效提高了学生数据库系统分析、设计与实现能力.

关键词： Web数据库   应用系统   应用模式  

摘要： 本文主要对数据库应用系统的基本内容以及发展现状进行分析,结合常见的两种网络结构体系分析其中的优点和不足,并为数据库应用系统模式的优化提供了一些参考意见。

关键词： 物联网   Web信息数据库   系统设计   开发  

摘要： 互联网不仅是新时代的科技产物,也是人们生活中不可或缺的一个重要组成。目前,研究人员针对互联网异构数据库难题,研究出一套新的解决方案,即主要简化相关情形下的数据传输难题,建立新的同步系统。当然,研究人员的这样解决方案,不仅工程量较小,也降低了工作人员平时的工作强度。本文通过对互联网相关现状进行分析,旨在为物联网数据库建立新的设计方式提供建议。

关键词： Distributed database systems   large scale linear algebra   vector/matrix  

摘要： As data analytics has become an important application for modern data management systems, a new category of data management system has appeared recently: the scalable linear algebra system. In this paper, we argue that a parallel or distributed database system is actually an excellent platform upon which to build such functionality. Most relational systems already have support for cost-based optimization-which is vital to scaling linear algebra computations-and it is well-known how to make relational systems scale. We show that by making just a few changes to a parallel/distributed relational database system, such a system can be a competitive platform for scalable linear algebra. Taken together, our results should at least raise the possibility that brand new systems designed from the ground up to support scalable linear algebra are not absolutely necessary, and that such systems could instead be built on top of existing relational technology. Our results also suggest that if scalable linear algebra is to be added to a modern dataflow platform such as Spark, they should be added on top of the system's more structured (relational) data abstractions, rather than being constructed directly on top of the system's raw dataflow operators.

关键词： Access Methods   Indexing   Node Overflows   Node Splitting   Parameter Optimisation   PostgreSQL   R-Tree   Spatial   Storage Utilisation  

摘要： Multi-dimensional data is present across multimedia, data mining and other data-driven applications. The R-Tree is a popular index structure that DBMSs are implementing as core for efficient retrieval of such data. The gap between the best and worst-case performance is very wide in an R-tree. Thus, building quality R-trees quickly is desirable. Variations differ in how node overflow are approached during the building process. This article studies the R-Tree technique that the open-source PostgreSQL DBMS uses. Focus is on a specific parameter controlling node overflows as an optimisation target, and improved configurations are proposed. This parameter is hard-wired into the DBMS, and therefore, an implementation is presented to allow this parameter to become accessible through an SQL construct. The access method designer can resort to configuring this parameter when trying to meet specific storage or time-related performance targets. With this study, the reader can gain an insight into the effects of changing the parameter by considering the spatial indexes on well-known workloads.

关键词： Spatial data   Graph database   Spatial index  

摘要： Graphs are widely used to model data in many application domains. Thanks to the wide spread use of GPS-enabled devices, many applications assign spatial attributes to graph vertexes (e.g., geographic knowledge bases, geo-tagged social media). Graph database systems such as Neo4j and Titan are commonly used to manage and query graph data. Even though an off-the-shelf graph database system allows users to define spatial location semantics on vertexes and edges, existing graph query processors are not natively optimized for spatial predicates. The paper proposes GEOEXPAND-a query operator that adds spatial data awareness to a graph database management system. GEOEXPAND allows efficient execution of graph queries that involve spatial predicates. The proposed operator makes use of spatial bitmap entries stored as properties in the graph. GEOEXPAND leverages such bitmap entries to possibly terminate the graph traversal process early and hence reduces the query latency. Since the spatial bitmap entries are represented using a light-weight data structure, they do not add a lot of storage or maintenance overhead. That makes GEOEXPAND a practical solution. Experiments based on implementation inside the core kernel of Neo4j prove that the GEOEXPAND operator exhibits up to two orders of magnitude better query response time than the classic Expand operator used in Neo4j.

标准号: RB/T 020-2019

摘要： 本标准规定了实时数据库管理系统的评价过程、评价内容与评价方法。 本标准适用于实时数据库管理系统安全的测试、评估与认证，也适用于实时数据库管理系统的研散和生产。