基于关系数据库理论的面向对象数据库系统

提出了基于关系数据库理论的面向对象数据库系统,论述了基于关系数据库理论的面向对象数据库系统的具体架构和实现方法,实验结果表明基于关系数据库理论的面向对象数据库系统更加优秀.     

A relational database for semiconductor device parametric data

Semiconductor device parametric test data collected by lot, wafer, and die form a hierarchical data structure that lends itself to two relational models reflecting two data views. The two models may be integrated by carefully considering relationships, and the resultant structure is applicable to in-process data collection. Semiconductor device parametric data models are discussed from the two viewpoints, and a practical database based on the set-theoretic relational data model is developed. Application of the developed model to semiconductor in-process and functional test data is also discussed     

关系型数据库与NoSQL数据库的性能对比

本文针对传统的关系型数据库和新兴的NoSQL数据库进行性能测试比对.选取关系型数据库的代表MySQL和NoSQL数据库的代表Redis.通过建立模型和搭建测试环境,同时进行20000次数据的插入操作和查询操作,然后对比MySQL数据库和Re-dis数据库的总耗时和平均耗时,得出Redis数据库的存储和查询效率高的结论.     

Integrating expert systems with a relational database insemiconductor manufacturing

The design and implementation of two expert systems for semiconductor manufacturing are described and compared. The first expert system is used for parametric test analysis in a CMOS wafer facility. It is designed as a user-interactive system, with all the expert's knowledge included in one knowledge base. This expert system tightly controls the flow of information between the knowledge base and the wafer data stored in a relational database. This expert system was implemented using the knowledge engineering environment shell with interface programs to INGRES. The second expert system is used for parametric test analysis in an analog wafer facility. This system is partitioned into several independent C programs running online and continuously communicating their results through the relational database. The interactive system is more flexible in representing expert knowledge and in explaining results, while the online system is faster, more open to new module integration, and better able to classify and diagnose large volumes of wafer data     

A dynamic clinical dental relational database

The traditional approach to relational database design is based on the logical organization of data into a number of related normalized tables. One assumption is that the nature and structure of the data is known at the design stage. In the case of designing a relational database to store historical dental epidemiological data from individual clinical surveys, the structure of the data is not known until the data is presented for inclusion into the database. This paper addresses the issues concerned with the theoretical design of a clinical dynamic database capable of adapting the internal table structure to accommodate clinical survey data, and presents a prototype database application capable of processing, displaying, and querying the dental data.     

图形数据库NEO4J与关系据库的比较研究

为了更为全面地揭示图形数据库与关系数据库在内部机理与应用场景方面的不同,采用理论分析与实例验证相结合的方法,从模型成熟度、安全性、可扩展性3个方面进行分析对比,结果显示图形数据库更新非常方便,更新复杂度仅为关系数据库的1/4。由此可知,图形数据库在成熟度、安全性等方面劣于关系数据库,但在处理复杂数据关联方面远优于关系数据库,适合存储关联关系复杂、关系动态变化等社交性数据。     

关系数据库的模式抽取

网络信息集成涉及多种不同类型的异构信息源.其目标是设计出一种高度灵活而综合的集成方法,来对这些异构信息源进行分析和整合,最终形成一致的单一数据集合,这无论是对提高基于知识的决策能力,还是提高信息的再利用率,都具有直接的现实意义.为了有效解决这种异构信息源的集成问题,将整个网络信息集成过程划分为三个阶段:数据抽取、数据集成和数据输出.在数据抽取阶段,研究了关系数据库的模式抽取问题.     

An extended relational database for remotely sensed image datamanagement within GIS

A conceptual database structure that can serve as a basis for storing and retrieving multitemporal remote sensing images within a geographical information system (GIS) is presented. The concept of time representation is described. The characteristics of a relational database structure are discussed. Then a time domain is introduced into the database management system (DBMS) for handling the image historical information and analyzing the remote sensing data through time. To overcome the weakness of current databases, a multitemporal database structure is presented by extending relational algebra into a GIS remote sensing image-management system     

基于遗传算法的关系数据库水印技术研究

目前关系数据库中的水印算法已经无法满足其基本数据管理需求,而传统的遗传算法由于在水印嵌入中的元组个数远远无法满足数据库中的元组数量也没有得到实际的应用。笔者将通过对现有水印技术进行分析和探究,并基于遗传算法的基础之上来对关系数据库水印技术进行改进,该技术能够利用遗传算法在关系数据库中选择最优元组进行比对,极大缩短了关系数据库的水印嵌入时间,提高了水印嵌入效率,真正实现了关系数据库水印的优化,为关系数据库的发展做出了一定的贡献。     

Design of an integrated database for a multiplant cablemanufacturer

The need to manage business operations effectively on an international scale is becoming critically important. Around the world firms are mobilizing to meet increasing global competition rapidly by redirecting, reorganizing, expanding, and relocating operations, or through joint ventures with other companies. One area that faces these challenges is the cables industry, wherein the need for integrated information systems covering various platforms of operations and adequate communication, is necessary for survival in the global market. An integrated information systems network has been designed for a large cable manufacturing facility, consisting of four plants, namely power cables plant, telecommunication cables plant, metal and plastics plant, and reel plant. This network covers the manufacturing, material management, customer orders, marketing and finance processes for each of the above named plants. Various processes have been integrated employing computer-aided systems engineering (CASE) tools and ORACLE relational database. The unified integrated information systems network has been realized employing optical rings, local area networks, and client-server architectures distributed across the various plants     

一种类图转化为关系数据库的自适应算法研究

提出了一种将类图转化为关系数据库RDBS的算法,首先使用Rational Rose工具创建类图,并使用Java语言对其进行描述;其次,将源代码文本作为算法执行,通过特定算法比较“ClaSS”,“attribute”和“relation”等关键字,区分出类、属性和关系;在完成数据库表的名称、属性字段的类型及大小等设置描述后,在MYSQL数据库中执行该算法,生成SQL命令创建数据库和表。这种算法能减少类图与关系数据库之间转化的出错概率和时间。     

数据集成中XML文档和关系数据库映射方法研究

在数据集成中为了有效保证数据信息的完整性,基于XML Schema在数据集成中的优势,提出一种以节点生成树作为中间桥梁的XML Schema和关系数据库模式相互映射的算法,建立了XML文档和关系型数据库之间双向转换的映射模型,并给出了这一模型的具体实现方法。     

Implementing an error-locating code

A binary code which locates the position of a single subblock containing errors in a code word is described briefly, and a decoding technique employing feedback shift registers is discussed.     

B/S结构下基于关系数据库的OLAP的研究与应用

伴随信息化的发展,数据库的规模日益扩大。企业管理者更注重的是如何从海量数据中挖掘出对企业发展有价值的信息,从而指导企业实践。鉴于此,OLAP技术应运而生。引入Mondrain作为OLAP服务器引擎,打破了传统OLAP对数据库限制的壁垒,使得基于关系数据库的OLAP技术具有更广泛的适用性。     

Toward a relational politics of representation

Rhetorical theories of representation, caught in the logics of transcendence/immanence, have struggled to reconcile the need to move beyond representation with the political importance of critiquing representational effects. I argue that this tension can—and must—be addressed through a relational politics of representation that draws from antiracist and decolonial theory. Tracing poststructural critiques of representational ontology, epistemology, and politics, I demonstrate their dependence on racializing and colonial processes. I then describe how rethinking our theories of representation relationally figures both ontology and epistemology as inherently political, and opens the possibility for theorizing the human beyond Man. I argue that a relational politics of representation is an impossible necessity that must be continually (re)attempted though it will never be fully achieved.     

基于混沌寻优的CDMA最佳多用户检测方法

混沌运动广泛存在于非线性系统中,它具有遍历性与随机性等优良性质,且在某个域内不可重复的走向每个状态.本文利用混沌的这些优良品质提出了实现码分多址(CDMA)系统上最佳多用户检测的一种混沌寻优方法.计算机模拟表明我们提出的算法具有能克服多址干扰,能寻优到全局极小点,以及能抑制噪声干扰等优点,这为研究CDMA系统上的最佳多用户检测器开辟了一条新的途径.     

Architecture of a mediator for a bioinformatics database federation

Developments in our ability to integrate and analyze data held in existing heterogeneous data resources can lead to an increase in our understanding of biological function at all levels. However, supporting ad hoc queries across multiple data resources and correlating data retrieved from these is still difficult. To address this, we are building a mediator based on the functional data model database, P/FDM, which integrates access to heterogeneous distributed biological databases. Our architecture makes use of the existing search capabilities and indexes of the underlying databases, without infringing on their autonomy. Central to our design philosophy is the use of schemas. We have adopted a federated architecture with a five-level schema, arising from the use of the ANSI-SPARC three-level schema to describe both the existing autonomous data resources and the mediator itself. We describe the use of mapping functions and list comprehensions in query splitting, producing execution plans, code generation, and result fusion. We give an example of cross-database querying involving data held locally in P/FDM systems and external data in SRS     

用C8051FXXX系列芯片实现实时时钟功能

当系统时钟使用高频内置振荡器时,辅助振荡器可用来驱动石英作实时时钟（RTC）。系统时钟信号可取自内置和辅助振荡器,改变RTC信号源时不会降低其精度,RTC使用定时器2,它是为给辅助输入信号下降沿计数而设置的。CPO用来把石英振荡波形转换成方波。     

Graph-based relational reasoning in a latent space for skeleton-based action recognition

Motivated by the powerful capability of deep neural networks in feature learning, a new graph-based neural network is proposed to learn local and global relational information on skeleton sequences represented as spatio-temporal graphs (STGs). The pipeline of our network architecture consists of three main stages. As the first stage, spatial–temporal sub-graphs (sub-STGs) are projected into a latent space in which every point is represented as a linear subspace. The second stage is based on message passing to acquire the localized correlated features of the nodes in the latent space. The third stage relies on graph convolutional networks (GCNs) to reason the long-range spatio-temporal dependencies through a graph representation of the latent space. Finally, the average pooling layer and the softmax classifier are then employed to predict the action categories based on the extracted local and global correlations. We validate our model in terms of action recognition using three challenging datasets: the NTU RGB+D, Kinetics Motion, and SBU Kinect Interaction datasets. The experimental results demonstrate the effectiveness of our approach and show that our proposed model outperforms the state-of-the-art methods.