Scientific Database Research for Polymers and Materials Engineering Needs

9224660 Ozsoyoglu SDB：聚合物和材料工程的科学数据库研究这是为期四年的持续奖项的第一年资助。本研究项目开发了一个用于管理聚合物和材料工程中断裂研究实验产生的数据的系统。材料工程师产生的实验数据很大，有几种数据类型，包括汇总数据、图像数据、空间数据和时间数据，这些数据是通过在不同时间对材料施加不同量的多轴应力而获得的。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。该项目涉及整合来自空间和面向对象的数据库、计算几何和图像处理的技术。设计了能够有效存储和检索数据的新的数据结构、数据模型、查询语言和查询处理技术。并开发了一个原型科学数据库管理系统并进行了测试。这种集成的数据管理环境将使聚合物和材料工程学科的研究人员受益。此外，本项目中抽象的基本原则也可以用于其他学科的数据管理。***

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. ***