2. NPS Outstanding Theses and Dissertations
Now showing items 11-20 of 39
Optimizing training event schedules at Naval Air Station Fallon
(Monterey, California: Naval Postgraduate School, 2018-03)
Naval Air Station (NAS) Fallon, located in Northwestern Nevada, is best known for one of its resident training schools, the United States Navy Fighter Weapons School, popularly known as Topgun. Fallon training range airspace ...
Simulated operating concepts for WIOM implementation
(Monterey, California: Naval Postgraduate School, 2018-03)
Naval Supply Systems Command Weapon Systems Support (NAVSUP WSS) serves as the Navy’s inventory control point, managing approximately 375,000 line items. Constrained by funding, NAVSUP WSS uses the Wholesale Inventory ...
OPTIMIZING MARINE CORPS SECONDARY REPARABLE MAINTENANCE
(Monterey, CA; Naval Postgraduate School, 2018-06)
The Marine Corps manages a centralized secondary reparable inventory of over 1,000 different items with an enterprise-wide retail value of more than $600 million. These secondary reparable items are those components and ...
EXPLORING CHARACTERISTICS OF AN EFFECTIVE MIX OF PRECISION AND VOLUME INDIRECT FIRE IN URBAN OPERATIONS USING AGENT-BASED SIMULATION
(Monterey, CA; Naval Postgraduate School, 2018-09)
As the world continues its rapid rise in urbanization, the battlefield of the future will likely be urban. This thesis explores the effective mix of three types of 155mm artillery munitions with varying accuracy (M982 ...
SCHEDULING AMPHIBIOUS CONNECTORS TO DELIVER MULTIPLE COMMODITIES
(Monterey, CA; Naval Postgraduate School, 2018-06)
Across the amphibious warfighting community, planners need to quickly develop schedules to deliver multiple supply commodities during ship-to-shore operations. We extend the single-commodity models underpinning the Marine ...
UNDERSTANDING AUTOMATIC IDENTIFICATION SYSTEM DATA AS APPLIED TO SOCIAL NETWORK RELATIONSHIPS AND ACTIVITIES
(Monterey, CA; Naval Postgraduate School, 2018-06)
This thesis considers the problem of how to infer a social network of entities based solely on periodic location information as they move in space and time. Specifically, we consider social networks implied by vessel traffic ...
PREDICTING THE SPREAD OF TERRORIST ORGANIZATIONS USING GRAPHS
(Monterey, CA; Naval Postgraduate School, 2018-06)
The U.S. Defense and Intelligence communities expend vast amounts of resources tracking and trying to predict the geographic spread of terrorist groups such as the Islamic State of Iraq and Syria (ISIS). Current approaches ...
EMPLOYMENT OF INTELLIGENCE, SURVEILLANCE, AND RECONNAISSANCE DRONE SWARMS TO ENHANCE GROUND COMBAT OPERATIONS
(Monterey, CA; Naval Postgraduate School, 2018-06)
On August 27, 2015, the Naval Postgraduate School’s (NPS) Advanced Robotic Systems Engineering Laboratory flew 50 autonomous drones simultaneously. This demonstration proved that autonomous drone swarm technology is evolving ...
SHIPS’ TRAJECTORIES PREDICTION USING RECURRENT NEURAL NETWORKS BASED ON AIS DATA
(Monterey, CA; Naval Postgraduate School, 2018-09)
The objective of this research is to develop a method for predicting the future behavior of ships and detecting anomalous behavior based on their past location coordinates and a set of context features. We use a Recurrent ...
A SIMULATED ANNEALING ALGORITHM FOR DETECTING MOVING TARGETS
(Monterey, CA; Naval Postgraduate School, 2018-09)
Target tracking and monitoring plays a crucial role in the intelligence collection domain. With the advancement of intelligence collection and data analysis methods, we can sometimes obtain a target’s initial and end ...
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