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MASTER OF SCIENCE THESIS DEFENSE BY: Tamunoala Charles-Ogan

When: Friday, June 3, 2016
2:00 PM - 4:00 PM
Where: Science & Engineering Building, Lester W. Cory Conference Room: Room 213A
Cost: free
Description: TOPIC: A RISK BASED DESIGN FRAMEWORK FOR MAGNETIC ANOMALY DETECTION VIA A DISTRIBUTED NETTED SENSOR SYSTEM

LOCATION: Lester W. Cory Conference Room, Science & Engineering Building (Group II), Room 213A

ABSTRACT:
Large paramagnetic objects superimpose an induced dipole field onto the Earth's ambient magnetic field, thereby enabling detection of the object from a suitable configuration of magnetic sensors. The object's motion across an array of sensors permits the coherent combining of sensor measurements for improved detection of the mobile object. Neyman-Pearson based thresholding is optimal for establishing a surveillance system's operating point to meet a fixed false alarm rate however Neyman-Pearson does not incorporate useful information that is often readily available to system designers and mission planners. Such information is often available in form of various costs associated with system build and deployment as well as costs associated with false alarms and missed detections. These costs can vary across missions and fundamentally drive the operating point of a magnetic anomaly system. System and mission cost profiles can be employed with the physical signal model associated with the null and alternate hypotheses to provide the mission planner with insights into the best system operating point. In this thesis, the average cost or risk is minimized in order to not only optimize the operating detection threshold, but to choose the most suitable configuration of sensors. Thus, this thesis explores the relationship between threshold, sensor number and placement in the design of a detection system for mobile magnetic dipoles. A range of sensor fields, target ranges and cost profiles associated with various mission scenarios are considered in order to expose the fundamental relationships between profile cost and design parameters. Operating points to obtain maximal benefit from the detection system are obtained. The sensitivity of average risk as a function of the operating point is further illuminated.

NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.

Advisor: Dr. Paul J. Gendron
Committee Members: Dr. John R. Buck, Department of Electrical & Computer Engineering and Dr. Alfa Heryudono, Department of Mathematics

*For further information, please contact Dr. Paul J. Gendron at 508.999.8510, or via email at pgendron@umassd.edu.
Topical Areas: General Public, University Community, College of Engineering, Electrical and Computer Engineering