Transcript NFSCtoolSuite - Computer Science & Engineering

Prepare for the
Possibility: Response
and Recovery
Steve Goddard
Computer Science & Engineering
University of Nebraska-Lincoln
Outline
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Tool Suite Overview
 Architecture and tool description
 Leveraging prior results
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Reduces cost and time to deliver
Reduces schedule and technology risk
Applying the Technology Suite
 Example Scenario
 Demonstration of GIS technology and related
prototype tools
Risk Communication
Recovery Process
Distributed Architecture
and Tools
Early Alert Tool
Incident Management
Tool
Distribution and Tracking
Tool
Simulation Engines
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The macro-level simulator
provides simulations of the
distribution of
contaminated foods and
support for the QTRIM
model.
The micro-level simulator
modes food
engineering/food
processing operations.
Integrate industry
standard simulators with
models, where possible .
 E.g., SuperPro Designer
 Need to capture the
engine but not
necessarily the GUI
Leveraging Prior Results:
National Agricultural Decision Support System
Presentation (User Interface)
e.g., Web Interface, Java applet
Data cache
Knowledge
Knowledge
Layer Layer
e.g., Data Mining, Exposure Analysis, Risk Assessment
e.g., Exposure Analysis, Risk Assessment
Data cache
Information
Layer
Information
Layer
e.g.,
Drought
Indices,
Regional
Crop
Losses
e.g.,
Drought
Indices,
Regional
Crop
Losses
Data cache
DistributedSpatial
Spatialand
andRelational
RelationalData
Data
Distributed
e.g.,
e.g.,Climatic
ClimaticVariables,
Variables,Agricultural
AgriculturalStatistics
Statistics
HTTP
IIOP
RMI
TCP
Leveraging Prior Results:
National Agricultural Decision Support System
National Agricultural Decision Support System
(NADSS) Tools
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The NADSS tools apply risk
analysis methodologies to
the study of drought and its
impact on crops
 Integration of basic
models with data
generates “information”
for analysis by decision
makers
 Information can be
gathered at any resolution
for which we have data
http://nadss.unl.edu
Building a Risk Assessment
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By combining several domain specific factors from our
“information layer” we are able to create maps displaying
the risk of crop failure for states, regions or counties
The result is a
“spatial” view of risk
An expert adjusts weight
factors for each variable
The risk calculator
combines the variables
Applying the Technology
Suite
 Example
Scenario
 Demonstration of GIS technology
and related prototype tools
Here’s Jeff!!
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Jeff does his demo….
Risk Communication
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Here’s Mario!!
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Mario does his thing….
Recovery
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