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November 27 2007
Geoffrey FoxCommunity Grids Lab
Indiana University
Net-Centric Sensor Grids
Data Centric EnterprisesDistributed Science or eScience is modern research
methodology linking electronically scientists, computers and data (instruments and sensors) Uses Grid technology that is similar to that used for Web 2.0
systems like Flickr, YouTubeWe use Cloud Computing from Amazon and soon IBM and
GoogleGoogle maps extensively used
DoD Anything Anywhere Anytime vision requires similar technologies needs similar distributed software systems for Command and ControlRequirements documented in Air Force FLTC (for example)Approach defined by DoD Net Centric architecture Implemented on Global Information Grid
Corporate Enterprise software uses service oriented architecture with similar requirements and goals
The TeamIndiana University Information Technology
Translational Institutes (IT)2 has three instituteseScience (led by Community Grids Laboratory CGL)Data SystemsSecurity
POLIS at IUPUI works on GIS with StateAnabas is a small company that has won three
SBIR/STTR small business awards with DoD and DoE in collaboration with CGL
Ball Aerospace in Ohio provides DoD application expertise allowing Indiana University to focus on core (dual use) technology and civilian applications
Bill McQuay in sensor directorate of AFRL at WPAFB is current Anabas Phase II SBIR program monitor
Several civilian application partners
Project Goal and DeliverablesDeliver a library of Grid Software modules supporting
distributed data intensive systems forNet Centric DoD Command and Control ApplicationsAnd related civilian applicationsEarthquake and Weather Prediction and Emergency
Response GridsPolarGrid deploying Polar sensors and distributed analysis
of melting of ice sheetsNavajo Nation Grid supporting education and healthcare in
remote rural areasPhysics data analysis from accelerator in GenevaCivilian applications leverage federal funding. Initial DoD
work funded by SBIR Phase II involving Anabas, CGL and Ball Aerospace
This project will enhance civilian technology/applications and deliver DoD modules
Slide courtesy of Dr. Yehuda Bock: http://sopac.ucsd.edu/input/realtime/CRTN_NGGPSUG.ppt
GPS Sensors and their Grid Analysis
Station Monitor Filter records real-time positions for 10 minutes and calculates position changes
Graph Plotter Application creates visual representation of the positions.
RDAHMM Filter records real-time positions for 10 minutes and invokes RDAHMM application which determines state changes in the XYZ signal.
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RDAHMM: GPS Time Series Segmentation
Complex data with subtle signals is difficult for humans to analyze, leading to gaps in analysis
HMM segmentation provides an automatic way to focus attention on the most interesting parts of the time
GPS displacement (3D) length two years.
Divided automaticallyby HMM into 7 classes.
Features:• Dip due to aquifer
drainage (days 120-250)
• Hector Mine earthquake (day 626)
• Noisy period at end of time series
Grid Workflow Data Assimilation in Earth Science Grid services triggered by abnormal events and controlled by workflow process real
time data from radar and high resolution simulations for tornado forecasts
DoD Grid Management Center
RFID Sensors being added
Navajo Nation Wireless Grid
Internet to Hogan dedicated January 29 2007 at Navajo Technical College Crownpoint NM
Data Analysis of Large Hadron Collider
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MetaDataFilter Service
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