Collaborative Research: Information Integration for Locating and Querying Geospatial Data (University of Illinois at Chicago)
Collaborative Research: Information Integration for Locating and Querying Geospatial Data (University of Wisconsin-Madison)
NSF-funded researchers have developed a groundbreaking new framework for integrating data from multiple sources and responding to highly dynamic real-world scenarios, including those arising in homeland security or emergency situations.
This research plays a vital role in development of an emergency data system and models that provide real-time information to emergency workers and planners.
Part of a collaboration between researchers at the University of Illinois at Chicago and the University of Wisconsin-Madison, systems developed will effectively pair patients with hospital beds, ambulances with patients and police with emergency situations by combining databases and real-time information from multiple sources.
Focusing on very fluid situations, the model must consider multiple issues, including:
Uniting local, state and federal data, the system will provide a way for multiple users to more efficiently search across multiple platforms and information sources.
Human face retrieval now incorporates grins and other unusual facial featuresResearch Areas: Computing Locations: Wisconsin
Blue Waters system offers calculation speeds of at least one petaflopResearch Areas: Computing, Education Locations: Illinois