ATHENS, Ohio (Oct. 7, 2005) -- Jeffery P. Hansen, research associate professor at Carnegie Mellon University's Institute for Complex Engineered Systems, will present a free, public lecture Wednesday, Oct. 12, at 2 p.m. in Stocker Center 103 on Ohio University's Athens campus.
Hansen's lecture, "Resource Management for Radar Tracking," will discuss the need for computer service managers that can react to changes in a radar tracking environment, adjusting the level of service and reallocating computer resources efficiently in order to find a target.
In radar systems, a fixed amount of radar bandwidth and computing resources must be divided among multiple tasks. These include tracking tasks that track known targets, search tasks that discover new targets and confirmation tasks that confirm that a radar return is really a target.
Environmental factors such as noise, or the distance of a tracked target, can dynamically affect resource requirements -- as a target moves from one to 10 miles away, it will require 16 times as much radar resource to maintain the same tracking quality.
Radar-tracking tasks are highly configurable, meaning they have a large number of qualities of service or operational dimensions, or a large number of quality levels on those dimensions. Optimizing resources in systems with highly configurable tasks can be extremely difficult because of the many ways tasks can be combined.
Hansen's current radar tracking work is for the U.S. Navy Aegis fleet. The heart of the fleet's combat system is an advanced, automatic detect-and-track, multi-function radar that can perform search, track and missile guidance functions simultaneously for more than 100 targets. Its computer interface also enables it to simultaneously operate in anti-air, anti-surface and anti-submarine warfare modes.
Hansen, a former research scientist for Toshiba Corporation, researches quality of service for distributed systems, dynamic resource allocation, soft real-time systems, real-time networking and intrusion detection. He holds a B.S. in electrical engineering, computer engineering and mathematics from Carnegie Mellon University, and an M.S. and Ph. D. in electrical and computer engineering from Carnegie Mellon University.
The lecture is part of the Center for Intelligent, Distributed and Dependable Systems' Colloquium Series.
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