Acquisition of Networked Imaging Cluster for Characterization, Analysis, and Visualization of Materials, Processes, and Engineering Structures

获取网络成像集群，用于材料、工艺和工程结构的表征、分析和可视化

基本信息

批准号：
9512547
负责人：
Kenneth Ebeling
金额：
$ 28.86万
依托单位：
North Dakota State University Fargo
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
1995
资助国家：
美国
起止时间：
1995-09-01 至 2000-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=9512547&HistoricalAwards=false
关键词：
Acquisition Networked Imaging Cluster Characterization

项目摘要

9512547 Ebeling The acquisition of a networked infrastructure of imaging equipment will enhance the potential and cohesiveness of interdisciplinary research activities being conducted in the College of Engineering and Architecture at North Dakota State University. The scope of the research includes materials, processes, engineered structures, and is aligned with and embodied in the mission of the College. Specific activities include material quantification and analysis, flow and combustion imaging, visualization and animation of dynamic systems, real- time imaging, and infrared imaging. The faculty group in the college is a distinctly multidisciplinary body engaged in interdisciplinary research. The equipment will be used to enhance interdisciplinary connectivity between researchers and projects, creating technological channels for sharing image data and processing routines relevant to visualization, characterization, and analysis. Through this imaging network, the convergence of traditional civil, mechanical, electrical, agricultural, industrial, construction, and architectural engineering research expertise will yield new findings in surface image evaluation, pictorial integration of design and analysis, motion, estimation, interferometry, intelligent processing, visualization of sound, displacement, thermal flow, and robotic control. ***

9512547 Ebeling 收购成像设备网络基础设施将增强北达科他州立大学工程与建筑学院正在进行的跨学科研究活动的潜力和凝聚力。研究范围包括材料、工艺、工程结构，并与学院的使命相一致并体现在其中。具体活动包括材料量化和分析、流动和燃烧成像、动态系统的可视化和动画、实时成像和红外成像。学院的教师队伍是一个从事跨学科研究的独特的多学科团体。该设备将用于增强研究人员和项目之间的跨学科联系，为共享图像数据和与可视化、表征和分析相关的处理例程创建技术渠道。通过这个成像网络，传统土木、机械、电气、农业、工业、建筑和建筑工程研究专业知识的融合将在表面图像评估、设计和分析的图形集成、运动、估计、干涉测量、智能处理等方面产生新的发现、声音、位移、热流和机器人控制的可视化。 ***