Computer Science
This
project is concerned with process automation. Automation theory and Web
interfaces are investigated as possible tools for capturing and automating
processes.
Sponsor: US
Department of Defense (CASI)
PI: KM George
The
project investigates forecasting methods and other tools to support aircraft
maintenance management.
Sponsor: US
Department of Defense (CASI)
PI: KM George
Small Volume Accurate Data Forecasting Models
The objective of the research is to
identify and acquire new data, provide forecasting functionality, and develop
user’s manuals. This project is to develop a new methodology applicable
to other weapon systems by choosing KC-135 as the research target to acquire
new data.
Sponsor: Automated Science Group, Inc.
PI: KM George
Technologies for New Data Acquisition and Forecasting for
the DRAIR Information System (Phase 1)
This work will expand the
capabilities of the G050 Information System. In order to expand the capability
of G050 a three-fold approach will be used: 1) development of methods, 2)
develop and acquire new and state of the art forecasting technologies, and 3)
research and develop interaction components for other systems using a
distributed system architecture based on .NET to plug-in date, programs, and
users.
Sponsor: Altech Services, Inc.
PI: KM George
Oklahoma City Air Logistics
Center (OC-ALC) is one of the major service depots responsible for maintaining
U.S. Air Force weapon systems. Some of the continuous challenges faced by
OC-ALC include reduction of maintenance time, increase in maintenance quality,
increase in safety, and reduction of maintenance cost. Recent developments in
real-time digital photogrammetry, virtual reality and visualization have the
potential to provide a virtual inspection and maintenance environment. In the
virtual environment OC-ALC personnel will be able to visualize and interact
with #D representation developed from photographic images of the current state
of the systems being repaired.
Sponsor: Automated Science Group, Inc.
PI: Douglas Heisterkamp
Tech Orders are documents that
describe the components, parts, repair process, and other important details of
different aircraft components. This project will concentrate on evaluating the
existing tech order formats, defining a versatile common meta-format for tech
orders and will include the necessary conversion programs from the existing
formats to the defined meta files.
Sponsor: University of Oklahoma
PI: Nohpill Park
Toward an Integrated Web-GIS Decision Support System for
Evaluating United States Department of Agriculture Conservation Reserve Program
(CPR)
This project will address some
of the critical aspects by designing a hardware-in-the-loop (HIL) simulation
platform where novel software-enabled control strategies can be tested.
Structure of this project will be along the following thrusts: A simulation and
visualization tool for UAV navigation, robust mode-switching control for
autonomous formation flight, and an experimental platform for
hardware-in-the-loop/Unmanned Aerial Vehicles coordination.
Sponsor: University of Oklahoma, NASA EPSCoR
PIs: Johnson Thomas
Geography: Mahesh Rao
School of Electrical & Computer Engineering: Gouliang Fan