Scientific Database Research for Polymers and Materials Engineering Needs

满足聚合物和材料工程需求的科学数据库研究

• 批准号: 9224660
• 负责人: Gultekin Ozsoyoglu
• 金额: $ 59万
• 依托单位: Case Western Reserve University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-08-15 至 1997-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9224660&HistoricalAwards=false
• 关键词: Scientific; Database; Research; Polymers; Materials

9224660 Ozsoyoglu SDB: Scientific Database Research for Polymers and Materials Engineering Needs This is the first year funding of a four-year continuing award. This research project develops a system for managing data generated by fracture study experiments in Polymers and Materials Engineering. The experiment data produced by materials engineers is large and has several data types that include summary data, image data, spatial data, and temporal data obtained by applying differing amounts of multiaxial stresses to materials at different times. The types of queries on the experiment data include statistical queries, matching queries, mapping queries, and temporal queries. The project involves integrating technologies from spatial and object-oriented databases, computational geometry, and image processing. New data structures, data models, query languages and query processing techniques that enable efficient storage and retrieval of data are designed. And a prototype scientific database management system is developed and tested. Such an integrated data management environment will benefit the researchers in polymers and materials engineering disciplines. Furthermore, the essential principles abstracted in this project can be used for data management in other disciplines. ***

9224660 Ozsoyoglu SDB：聚合物和材料工程需求的科学数据库研究这是一个为期四年的持续奖的第一年资助。本研究项目开发了一个系统，用于管理聚合物与材料工程中断裂研究实验产生的数据。材料工程师产生的实验数据很大，有几种数据类型，包括摘要数据、图像数据、空间数据和通过在不同时间对材料施加不同量的多轴应力而获得的时间数据。对实验数据的查询类型包括统计查询、匹配查询、映射查询和时态查询。该项目涉及整合空间和面向对象数据库、计算几何和图像处理技术。设计了新的数据结构、数据模型、查询语言和查询处理技术，以实现有效的数据存储和检索。开发并测试了一个科学数据库管理系统的原型。这种集成的数据管理环境将有利于聚合物和材料工程学科的研究人员。此外，本项目中抽象的基本原则可以用于其他学科的数据管理。＊＊＊