Use AI/ML Automation to Improve C4ISR Interoperability Mapping and Testing Capabilities
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Authors
Das, Arijit
Subjects
Artificial Intelligence
Machine Learning
Natural Language Processing
Test & Evaluation
Interactive Dashboard
C4ISR
Machine Learning
Natural Language Processing
Test & Evaluation
Interactive Dashboard
C4ISR
Advisors
Date of Issue
2023-10
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
Marine Air Ground Task Force execution involves coordination of requirements between the Program of Records, which is a manual process. With automation focus, using Computer Science techniques along with Python libraries for optical character recognition and natural language processing, the team managed to extract the requirements from PDF to text and organize it in a Relational Database Schema, and prepped the data for classification of requirements. A Graphical User Interface was designed to access the information in the database using a 3-tier architecture.
Type
Technical Report
Description
NPS NRP Technical Report
Series/Report No
Department
Organization
Identifiers
NPS Report Number
NPS-CS-23-004
Sponsors
Marine Corps Tactical Systems Support Activity;
Naval Research Program (NRP)
Funder
This research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrp
Chief of Naval Operations (CNO)
Chief of Naval Operations (CNO)
Format
31 p.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.