SAVE

Sensor Anomaly Visualization Engine

 

 

SAVEVisualization.png

 

Image:SAVE user interface visualizing sensor network topology (top-left, bottom-left), high-dimensional sensor measurements and statuses (top-right), dimension correlations (middle of bottom) and the dimension temporal trends (bottom-right). Various visual settings and analytic functionalities can be accessed from the menu.

 

 

OBJECTIVE

1. Develope several novel visualizations based on generic anomaly detection methods, for effective representation of the dynamic high-dimensional sensor data

2. Provide a new way for operators and administrators to identify sensor network data patterns, diagnose potential failures, and locate root causes of these failures in a user-friendly and interactive manner

3. Prototype and evaluate the above techniques

 

PUBLICATION

·        Lei Shi, Qi Liao and Yuan He,“SAVE: Sensor Anomaly Visualization Engine”, IEEE Conference on Visual Analytics Science and Technology (part of IEEE VIS), October 2011. [paper] [code]