The goal of this project is to research the area of multi threaded and multi-process parallel rendering on multi-core computers as part of LANL's investigation into using supercomputers for parallel visualization.  We are evaluating the practical feasibility of visualization on large memory, multi-CPU, high bandwidth connected nodes.

Boonthanome Nouanesengsey
OSU Student

Han-Wei Shen
OSU Instructor

James Ahrens
Mentor

John Patchett
Mentor

We are using an active PTZ camera data collection to study patterns and trends in outdoor scenes over long durations. Data is collected in a persistent manner using multiple cameras and locations at different times of day and day of week. The video images are used to track the trajectories of people and extract common pathways and routes by clustering and segmenting the trajectories.

Karthik Sankaranarayanan
OSU Student

Jim Davis
OSU Instructor

Sriram Swaminarayan
Mentor

Lakshman Prasad
Mentor

We are creating a clone of the OSU testbed capability in a long-running outdoor surveillance testbed at LANL.  The project will address energy efficiency concerns, in particular, maximizing efficiencies across routing and MAC.

Wenjie Zeng
OSU Student

Mukudan Sridharan
OSU Student

Anish Arora
OSU Instructor

Stephan Eidenbenz
Mentor

Charles Farrar
Mentor

• From Kansei to KanseiGenie: Architecture of Federated, Programmable Wireless Sensor Fabric paper_Sridharan_Zeng
• Maximizing Energy Efficiency Abstract_Zeng
• Federation in KanseiGenie_Presentation_Sridharan
• KanseiGENI Team: Virtualizing and Federating Next-Generation Wireless Sensor Network Infrastructures_News_Zeng