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Washington University in St. Louis News & Information > News Topics > Culture & Living > War / Terrorism > Homeland and International Security >

Anomaly Detection

Anomaly detection is the process of using videos and/or computers to examine scenes and find information or objects that are out of place, and thus suspicious.

Faculty Experts:

Showing 1 Anomaly Detection Experts.
Ronald S. Indeck

DAS Family Distinguished Professor of Electrical Engineering

Ron Indeck
Ron Indeck
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Indeck earned his doctorate from the University of Minnesota. His research involves magnetic and optical components and systems, especially in the areas of information technology and security. He is working with extremely high density magnetic recording systems, fast searching of massive databases, ...


Expertise: object verification, public surveillance, magnetic information storage systems, magnetism

Media assistance: (314) 935-5272 / tony_fitzpatrick@wustl.edu



Showing 1 Anomaly Detection Experts.

News Stories & Tip Sheets:

Showing 2 Anomaly Detection Stories.
First test

Study: Wireless sensors limit earthquake damage

April 16, 2007 --
Shirley Dyke (left) and Pengcheng Wang  adjust wireless sensors onto a model laboratory building in Dyke's laboratory.
Shirley Dyke (left) and Pengcheng Wang adjust wireless sensors onto a model laboratory building in Dyke's laboratory.
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An earthquake engineer at Washington University in St. Louis has successfully performed the first test of wireless sensors in the simulated structural control of a model laboratory building. Shirley J. Dyke, Ph.D., the Edward C. Dicke Professor of Civil Engineering and director of the Washington University Structural Control and Earthquake Engineering Laboratory, combined the wireless sensors with special controls called magnetorheological dampers to limit damage from a simulated earthquake load. More...


Reading electronic 'fingerprints'

Washington University technology earns its stripes

Nov. 11, 2004 --
Fingerprint
Washington University in St. Louis has licensed a system developed by Washington University engineers that is meant to detect counterfeit credit cards by reading a unique magnetic "fingerprint" on the stripes of credit cards and other objects that carry magnetic information. The system -- called Magneprint -- was invented by Ronald Indeck, Ph.D., Das Family Distinguished Professor of Electrical Engineering at Washington University.



Showing 2 Anomaly Detection Stories.


Related Information
Media Assistance:

Tony Fitzpatrick
Senior Science Editor
tony_fitzpatrick@wustl.edu

(314) 935-5272
Related Links:
Indeck's Record profile
Technique provides ultra-fast searching of massive data sets

Related Groups:

Schools:
School of Engineering
School of Law

Departments:
Computer Science and Engineering
Electrical and Systems Engineering
Mathematics
Physics

Programs:
Center for Optimization and Semantic Control

- View All Groups

Related Topics:
Alertness / Deceit / Intent Detection
American Politics
Biometrics
Bioterrorism
Borders
Campaign Tactics & Strategy
Civil Justice / Criminal Law
Computer Technology
Corporate, Business and Commercial Law
Critical Infrastructure
Cybersecurity
Economics
Homeland and International Security
Homeland Security Law and Policy
International Law
International Politics
Law & Legal Issues
Middle East / Islamic Issues
Physics
Privacy
Psychology
Public Policy & Politics
Science & Technology
Sensors
Social Policy / Issues
Software / Network Security
Surveillance
War / Terrorism
Workplace / Labor Issues

- View All Topics

Revised:

Wednesday, Dec. 1, 2004


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