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ICDCS
2010
IEEE
15 years 5 months ago
Sifting through Network Data to Cull Activity Patterns with HEAPs
—Today’s large campus and enterprise networks are characterized by their complexity, i.e. containing thousands of hosts, and diversity, i.e. with various applications and usage...
Esam Sharafuddin, Yu Jin, Nan Jiang, Zhi-Li Zhang
JFR
2007
103views more  JFR 2007»
15 years 1 months ago
Evolving interface design for robot search tasks
This paper describes two steps in the evolution of human-robot interaction designs developed by the University of Massachusetts Lowell (UML) and the Idaho National Laboratory (INL...
Holly A. Yanco, Brenden Keyes, Jill L. Drury, Curt...
GLOBECOM
2010
IEEE
14 years 12 months ago
Know Your Enemy, Know Yourself: Block-Level Network Behavior Profiling and Tracking
Abstract. Gaining a better knowledge of one's own network is crucial to effectively manage and secure today's large, diverse campus and enterprise networks. Because of th...
Esam Sharafuddin, Nan Jiang, Yu Jin, Zhi-Li Zhang
AEI
2006
101views more  AEI 2006»
15 years 2 months ago
Design issues for assistive robotics for the elderly
The worldwide population of elderly people is growing rapidly and in the coming decades the proportion of older people in the developed countries will change significantly. This d...
Qinggang Meng, Mark H. Lee
ICDM
2006
IEEE
91views Data Mining» more  ICDM 2006»
15 years 8 months ago
Entropy-based Concept Shift Detection
When monitoring sensory data (e.g., from a wearable device) the context oftentimes changes abruptly: people move from one situation (e.g., working quietly in their office) to ano...
Peter Vorburger, Abraham Bernstein