Transcript Fundamental Research Project: Interactive Situational

Fundamental Research Project
Collaborative Research: An Interactive Situational
Awareness Simulation – A View from the Clouds.
Sheldon Brown, UCSD, Site Director
Milton Halem, UMBC Director
Yelena Yesha, UMBC Site Director
Tom Conte, Georgia Tech Site Director
Summary.
We will create a virtual world simulation, distributed across a heterogeneous
compute infrastructure, to facilitate dynamic analysis of complex situations.
The virtual world will be built from a variety of data sources; including high
fidelity, well correlated data sources to data mining of internet feeds and
many-user updates with commodity devices such as cell phones and digital
cameras.
Integrating heterogeneous computing resources to enable applications that
can provide robust representations of dynamic situations, including those
with tragic human and environmental impact, with data derived from a
multitude of sources in a timely manner for decision makers and for citizens
at large.
The virtual world simulation has five interrelated operations:
1) It provides the scheme to correlate the various pieces of data
2) A collaborative tool in which data elements are improved and verified
3) An experiential tool to enable understanding of how the different
components of a complicated scenario unfold
4) Facilitates short term planning activities at the real site
5) A platform to simulate scenario forecasting for purposes such as longterm planning or future incident mitigation.
Distributed computation
User participation,
extensibility and
coherency Distributed
Multi-Media Data Base
Management
Network Analysis
Asset Analysis, Integration
and Computation
Mobile Devices
Currently undertaking:
Quarter 1: Establish an Ad Hoc CHMPR member industry planning and evaluation team.
Quarter 1: Implement a Distributed Heterogeneous Cloud Computing system based on the open Apache
provided Hadoop system consisting of their File system, H base system for large image data base
querrying and the MapReduce algorithm for content search and query.
Quarter 1 Milestone: Import large volumes of Haiti earthquake data for storage in the H base system
Quarter 2 – 3: Extend the virtual scalable city world with real world data.
Quarter 2 Milestone: Visualize Haitian data static data from distributed cloud
Next steps:
Quarter 3 Milestone: Distribute visualization to simultaneous multiple users.
Quarter 4: Demonstration scenario with advanced GPS equipped multi-media mobile devices
Quarter 4 Milestone: Test quality control features on human acquired event data.
Quarter 4: Test uploading of streaming data from variety of devices
Quarter 4: Implement user data refinement annotations within virtual world
Quarter 4 Milestone: Compare user refined and unrefined models through external analysis. Quarter 4:
Run simulation extraction scenarios for initial demonstration of proof of concept. Road redevlopment as initial test case.
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Geo-located media
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Initial example of using location based media from the web, with little or no
post processing, into the interactive virtual environment
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Haiti
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Spill data integration
• Spilled oil location data mined by UMBC
integrated into virtual enviroment
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Spill data integration
GNOME: General NOAA
Oil Modeling Environment
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Improved Elevation Data
• NOAA Global Land One-km Elevation Project
– 1 km sample resolution and meter height resolution
– Big improvement over ArcGIS
• No longer confined to image based data
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Not limited to 0 – 255 grayscale range
Height data in actual meters
Negative numbers for water below sea level
No need to stitch image tiles together
No compression artifacts
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• Link to movie:
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http://xnor.ucsd.edu/frp/SitA_gulf_down_in_the_oil_hiRes.wmv
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This movie is a capture of someone interacting with the virtual world in
which these elements are combined – geo located and temporally.
This shows just a few of the multiple models that are being integrated into
the virtual world, with the capabilities of users to annotate, improve and
upload new data to improve the model.
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Disaster in Japan
• Streamlined process for importing world elevation data
• Markers for locations of interest
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Disaster in Japan
• Media streams from youtube, etc.
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• Link to movie:
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http://xnor.ucsd.edu/frp/SitAClient%202011-05-10%2016-47-10-47_japan.wmv
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Scalable City Virtual World Engine
• Massively multiplayer continuous world
• Hundreds of thousands of interactive objects in dynamics systems
• Data fusion of assets from variety of sources
• High fidelity models, sensor data, social media, algorithmic simulations
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Demonstration of Scalable
City Virtual World System
• Links to movies:
• http://xnor.ucsd.edu/IBMvideo_v17_lq_720.wmv
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http://crca.ucsd.edu/sheldon/downloads/intel_trailer2.wmv
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FRP: Future Work for
virtual environment
• Incorporate wind & water current data
mined by UMBC
• Dynamic landscape geometry resolution
– Controlled by areas of interest
• Highly detailed landscape in locations with a lot of
data streams
• Low detail in areas with little to no data streams
• Multi-user interaction
• Downloadable client
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