Collaborative Research: Development of middleware/software to allow visualization and analysis of large and complex 4-D geoscience data sets.

来自这笔赠款的YuenFunding将支持一系列计算、分析和可视化Web服务的开发，这些服务使用基于发布/订阅范例的智能中间件结构与用户客户端交互。Java小程序和基于PHP的界面将作为前端图形用户界面。开发的系统Web-IS将促进协作科学可视化、小波和海量地学集合的统计分析。应用于地球科学研究的大数据集生成技术和技术的例子包括合成孔径雷达(合成孔径雷达)和干涉测量分析(干涉合成孔径雷达)、多光谱遥感、光探测和测距、全球和区域连续运行的地震和全球定位系统网络、使用场发射电子显微镜进行的极高分辨率岩石学研究以及地球动力学中的大规模三维数值模拟。本科生和研究生将获得开发框架艺术的实践经验，并有机会通过与PI直接关联在地球物理应用中使用它们。*

0445392YuenFunding from this grant will support development of a collection of computational, analysis and visualization web services that interact with user clients using an intelligent middleware fabric based on the publish/subscribe paradigm. Java Applets and PhP-based interfaces will serve as front end graphical user interfaces. The developed system, WEB-IS, will facilitate collaborative scientific visualization, wavelet and statistical analysis of massive geoscience sets. Examples of large data set generating technologies and techniques applied in Earth science research include synthetic aperture radar (SAR) and interferometric analysis (InSAR), multispectral remote sensing, light detection and ranging (LIDAR), global and regional continuously operated seismic and GPS networks, very high resolution petrographic studies using field emission electron microscopy, and large-scale 3-D numerical simulations in geodynamics. Undergraduate and graduate students will gain practical experience in the art of developing frameworks and have the opportunity use them in geophysical applications through direct association with the PIs.***