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Commit 61fad31f authored by Pamela Dyer's avatar Pamela Dyer
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Update models/Application_examples/Correlation_and_Fusion_Process_Ungoverned.mp

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/* Ungoverned Correlation Model August 2021
created by F Watson 8/20/2021
Purpose:
To model AIS reporting data flows showing existing data path behaviors
Description:
Models the data flow from sensors all the way to the human analyst at a tactical location.
Details
AIS_Sensor: represents an example AIS GPS SENSOR
Aggregation_Service: Represents a local AIS Aggregator like a "Radar" system or local AIS Broadcast
Global_Distribution_Mechanism: Receives data from multiple aggregation services, coalates the data, and rebroadcasts the data globally.
Source A: Represents raw AIS tracks that have not been modified in any way prior to dissemination
Source B: Represents raw AIS tracks grouped into geographic areas for limited broadcast
Source C: Represents Custom filtering and combining of AIS tracks based on unique fields
Correlator functions: Receive_Source_Status
Process_Source_Status
Evaluate_Source_Status
Display_Correlated_Tracks
Analyst functions: View_Correlated_Tracks
Analyze_Tracks_Position_Accuracy
Correct_Track_Positions
/* Model of Correlation and Fusion Process Ungoverned
Created by Frank Watson on the 20th of August, 2021.
Edited by Pamela Dyer in September, 2021.
Purpose: To model AIS reporting data flows showing existing
data path behaviors.
Description: Models the data flow from sensors all the way
to the human analyst at a tactical location.
AIS_Sensor: represents an example AIS GPS SENSOR.
Aggregation_Service: Represents a local AIS Aggregator
like a "Radar" system or local AIS Broadcast.
Global_Distribution_Mechanism: Receives data from
multiple aggregation services, coalates the data,
and rebroadcasts the data globally.
Source A: Represents raw AIS tracks that have not been modified in any way prior to dissemination
Source B: Represents raw AIS tracks grouped into geographic areas for limited broadcast
Source C: Represents Custom filtering and combining of AIS tracks based on unique fields
Correlator functions: Receive_Source_Status
Process_Source_Status
Evaluate_Source_Status
Display_Correlated_Tracks
Analyst functions: View_Correlated_Tracks
Analyze_Tracks_Position_Accuracy
Correct_Track_Positions
The events are representative of actual AIS data report flow to operational analysts in the Fleet today.
References:
Example 49 Histogram showing number of traces with probabilities within certain intervals, from Auguston, M. "Monterey Phoenix
System and Software Architecture and Workflow Modeling Language Manual"
(Version 4). 2020. Available online: https://wiki.nps.edu/display/MP/Documentation
Example 40. A global report is assembled from the set of all available event traces, from Auguston, M. "Monterey Phoenix
System and Software Architecture and Workflow Modeling Language Manual"
(Version 4). 2020. Available online: https://wiki.nps.edu/display/MP/Documentation
References:
Example 49 Histogram showing number of traces with probabilities within certain intervals, from Auguston, M. "Monterey Phoenix
System and Software Architecture and Workflow Modeling Language Manual"
(Version 4). 2020. Available online: https://wiki.nps.edu/display/MP/Documentation
Search terms: behavior, data correlation and fusion; probability, Type 1; data governance
Instructions:
Run for scope 1: 8 traces in < 1 sec
Example 40. A global report is assembled from the set of all available event traces, from Auguston, M. "Monterey Phoenix
System and Software Architecture and Workflow Modeling Language Manual"
(Version 4). 2020. Available online: https://wiki.nps.edu/display/MP/Documentation
Search terms: behavior, data correlation and fusion;
probability, Type 1; data governance
*/
Instructions: Run for scope 1: 8 traces in < 1 sec
==========================================================*/
SCHEMA Correlation_and_Fusion_Process_Ungoverned
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