/* Model of Correlation and Fusion Process with Data Governance Framework
created by F Watson 8/20/2021
Created by Frank Watson on the 20th of August, 2021.
Purpose:
Edited by Pamela Dyer in September, 2021.
To model AIS reporting data flows showing updated data path behaviors with the application of a data governance framework
Purpose: To model AIS reporting data flows showing updated
Description:
data path behaviors with the application of a data
Models the data flow from sensors all the way to the human analyst at a tactical location incorporating a data governance framework.
governance framework.
Details
Description: Models the data flow from sensors all the way
AIS_Sensor: represents an example AIS GPS SENSOR
to the human analyst at a tactical location incorporating
Aggregation_Service: Represents a local AIS Aggregator like a "Radar" system or local AIS Broadcast
a data governance framework.
Global_Distribution_Mechanism: Receives data from multiple aggregation services, coalates the data, and rebroadcasts the data globally.
Details
Source A: Represents raw AIS tracks that have not been modified in any way prior to dissemination
AIS_Sensor: represents an example AIS GPS SENSOR
Source B: Represents raw AIS tracks grouped into geographic areas for limited broadcast
Aggregation_Service: Represents a local AIS Aggregator
Source C: Represents Custom filtering and combining of AIS tracks based on unique fields
like a "Radar" system or local AIS Broadcast
Global_Distribution_Mechanism: Receives data from
Data Governance Framework applies evaluation rubric to data sources and only allows sources that are uncorrupted to be transmitted to the correlator.
multiple aggregation services, coalates the data,
The Data_Governance_Framework receivees sources, evaluates source corruption levels, applies a rubric evaluation, and transmits approved sources to the correlator function
and rebroadcasts the data globally.
Source A: Represents raw AIS tracks that have not been
Correlator functions: Receive_Source_Status
modified in any way prior to dissemination
Process_Source_Status
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
Data Governance Framework applies evaluation rubric
to data sources and only allows sources that are
uncorrupted to be transmitted to the correlator.
The Data_Governance_Framework receives sources,
evaluates source corruption levels, applies a rubric
evaluation, and transmits approved sources to the
correlator function.
Correlator functions: Receive_Source_Status
Process_Source_Status
Evaluate_Source_Status
Evaluate_Source_Status
Display_Correlated_Tracks
Display_Correlated_Tracks
Analyst functions: View_Correlated_Tracks
Analyst functions: View_Correlated_Tracks
Analyze_Tracks_Position_Accuracy
Analyze_Tracks_Position_Accuracy
Correct_Track_Positions
Correct_Track_Positions
The events are representative of actual AIS data report flow to operational analysts, with the insertion of a data governance framework.
The events are representative of actual AIS data report
flow to operational analysts, with the insertion of a
References:
data governance framework.
Example 49 Histogram showing number of traces with probabilities within certain intervals, from Auguston, M. "Monterey Phoenix
References:
System and Software Architecture and Workflow Modeling Language Manual"
Watson, Frank. "Design Methodologies for 21st Century
(Version 4). 2020. Available online: https://wiki.nps.edu/display/MP/Documentation
Battlefield Object Correlation and Fusion." NPS
Master's Thesis, Monterey, CA: September 2021.
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"
Example 49. Histogram showing number of traces with
(Version 4). 2020. Available online: https://wiki.nps.edu/display/MP/Documentation
probabilities within certain intervals, from Auguston,
M. "Monterey Phoenix System and Software Architecture
Search terms: behavior, data correlation and fusion; probability, Type 1; data governance
and Workflow Modeling Language Manual" (Version 4).
2020. Available online:
Instructions:
https://wiki.nps.edu/display/MP/Documentation
Run for scope 1: 4 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;
