2005 May 04
A paper co-written by UW Computer Science professor Shai Ben-David and his former student Ting He of Cornell University has just won a Best Student Paper Award at the 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP). ICASSP is the world's largest conference on signal processing and its applications.
The paper, "Nonparametric Change Detection in 2D Random Sensor Field" concerns the question of efficiently detecting change in an environment through sensor networks. Sensor networks are groups of small, inexpensive sensors that can be deployed over large areas and wirelessly networked to measure parameters of interest, such as chemical emissions, forest fires, or enemy troop movements. Of key importance is the ability to query such networks to determine whether there have been significant changes in the underlying field of measurement. A change-detection system must distinguish between random measurement fluctuations and significant overall field changes. The paper proposed a new notion of distance between probability distributions that emphasizes differences that are geometrically focused. This in turn will enable the development of efficient algorithms to detect changes. Given the high degree of current interest in this area, it is expected that many useful applications will result from this novel approach.
The abstract of the paper is available here.
David R. Cheriton School of Computer Science
University of Waterloo
Waterloo, Ontario, Canada N2L 3G1
Tel: 519-888-4567 x33293
Fax: 519-885-1208
Contact | Feedback: newseditor@cs.uwaterloo.ca | David R. Cheriton School of Computer Science | Faculty of Mathematics
Last modified: Thursday, 06-Oct-2005 14:30:26 EDT
