Virtual Business Emergency Operations Center:
The overall vision of the V-BEOC is to develop a national-scale effective PPP (Public Private Partnership) information sharing communication and coordination platform between IoT devices, people and legacy IT systems for homeland security and emergency management acommunity. Specifically, V-BEOC Portal provides the ability for the emergency management community to seamlessly work with the private sector to inform businesses of impending events, share operational information, distribute situational awareness reports, and leverage private sector resources. Please refer beta.vbeoc.org, www.labeoc.org and www.greatercincinnatir2r.org/ for more information. People involved: Dr. Michael Dunaway, Mr. Clay Rives, Dr. Ramesh Kolluru, Ms. Tina Mouton, Mr. Marchus Shannon
Visual Analytics Sandbox for handling High Volume Data Streams
This effort funded by NSF will build state-of-the-art visual analytics sandbox to handle extremely fast analytics and facilitate knowledge discovery on data streams arriving from IoT. The system addresses several limitations of existing business intelligence tools in terms of improving the visual analytics performance, through novel data modeling, visualization, graph sampling, and human computer interaction components. This system would be available for use on collaborative research projects related to IoT.
intelligent Levee (iLevee)
iLevee An intelligent levee real-time surveillance dashboard system that presents the health of the levee using data captured from several thousands of sensors. The project is sponsored by the Louisiana’s Office of Coastal Protection and Restoration Authority and Geocomp Corporation (funding $320K).
Evacuation Traffic & Fuel Demand Prediction Model for the State of Louisiana
This is a real-time traffic and fuel prediction system for managing fuel related emergencies for regional evacuation. The system is operational during major evacuations and sponsored by the Department of Energy through the Louisiana’s Department of Natural Resources (funding: $800K). The system uses evacuee behavior data, and data streams from evacuation traffic sensors and fuel monitoring sensors deployed in gas stations along evacuation highways to