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Adm. Munsch Discusses Vital Role of NPS in Developing Warfighters, Warfighting Solutions
Full text linkOPTIMIZING LITTORAL CONNECTOR EMPLOYMENT USING FULLY CONNECTED AND REDUCED NETWORKS
No full textThe Marine Corps’ shift toward Expeditionary Advanced Base Operations (EABO), as initially laid out in General Berger's Commandant's Planning Guidance and Force Design 2030, focuses on deploying small, distributed forces across island chains. Existing Navy connectors are inadequate for supporting EABO, prompting the development of the medium landing ship (LSM) to address this gap, though how it will be employed remains undeveloped. Proper routing of littoral connectors is essential to prevent delays in delivering mission-critical components, which could negatively affect operational timelines. Current routing methods either produce solutions of unknown quality or require unrealistic computing times. The latest model reduces these times using a linear programming relaxation, but it still delivers suboptimal results due to network limitations. This research addresses these limitations by proposing network simplification through node and arc reduction and the introduction of virtual arcs to create a fully connected, reduced network designed for more efficient routing. Our experiments confirm that these network simplifications improve runtime and/or delivery time. Notably, the fully connected reduced network approach achieved the fastest final serial delivery time of 8.5 days, providing a highly balanced and responsive solution for planners. This work enhances the optimization of littoral connector employment, addressing a critical capability gap in EABO logistics.Distribution Statement A. Approved for public release: Distribution is unlimited.Captain, United States Marine CorpsNPS Naval Research ProgramThis project was funded in part by the NPS Naval Research Program
Faces of NPS: Capt. Ben Cohen, USMC
Full text linkFaces of NPS features interviews spotlighting the students, faculty, staff and alumni of our Nation's premier defense education and research institution
LOCATING THEATER LEAD AGENTS FOR MEDICAL MATERIEL IN INDOPACOM
No full textThis research addresses the strategic need to optimize Theater Lead Agent for Medical Materiel (TLAMM) locations in the United States Indo-Pacific Command (INDOPACOM) area of responsibility. Given the high-risk nature of current TLAMM sites, Kadena Air Base and the U.S. Army Medical Materiel Center–Korea (USAMMC-K), this study evaluates alternative TLAMM concepts to enhance operational resilience in contested environments. The objective is to develop a mathematical optimization model that identifies the most effective TLAMM locations and quantities by balancing critical factors such as transportation logistics, infrastructure, and adversarial threats. The model offers a data-driven approach to support decision-making, helping military planners position TLAMMs optimally for rapid medical resupply during conflict. Findings suggest that strategic site selection can mitigate logistical risks and ensure efficient medical supply flow under high-stress conditions, ultimately strengthening operational readiness in the region.Distribution Statement A. Approved for public release: Distribution is unlimited.Captain, United States Marine CorpsNPS Naval Research ProgramThis project was funded in part by the NPS Naval Research Program
LINE OF SIGHT: DESIGNING AI TO DETECT AND DISRUPT ACTIVE SHOOTER EVENTS
No full textMass shootings in the United States have become tragically commonplace. Since the notorious Columbine High School shooting in 1999, America has experienced a growing number of mass shootings across a variety of locations, targeting a wide range of victims and employing individual shooter tactics and approaches. While the best countermeasure against active shooters remains dispatching police to the scene of the attack as quickly as possible while urging intended victims to run, hide, or fight, this loose guidance for both victims and responding police provides the shooter with the initial advantage. Modern technology, however, may provide new approaches to address the active shooter problem. Enhanced sensory equipment, such as motion-tracking cameras, paired with powerful artificial intelligence (AI) models, offers an opportunity for engineers and computer scientists to build a cohesive suite of automated countermeasures to identify and potentially stop an active shooter attack at the onset. This thesis proposes an AI-driven surveillance system using object recognition to detect weapons and threatening behaviors at the onset of an attack. Based on case study analysis and simulation testing, the system offers a privacy-conscious approach to early intervention and casualty reduction in active shooter scenarios.Distribution Statement A. Approved for public release: Distribution is unlimited.Civilian, Department of Homeland Securit
A MULTI-MISSION SYSTEM FOR GENERATING THREE-DIMENSIONAL SCENE RECONSTRUCTIONS USING VISION-BASED ALGORITHMS
Full text linkAn autonomous 3D reconstruction system (A3DRS) automatically creates a 3D model of a scene from a series of 2D images, to be used for tasks like object recognition, robot navigation, and environmental mapping. This thesis aims to establish a complete description, including all algorithmic processes and low-level components needed for A3DRS implementation to assess feasibility, maturity, and possible outcomes of using such systems in mission planning and field operations. The analysis of A3DRS behavior is based on modeling and coding algorithms in MATLAB, simulating vehicle operation in Simulink, and generating data within a virtual environment. The performance of A3DRS is evaluated based on computational complexity and output quality. First, a trade space of parameter configurations was established via individual algorithmic component testing. Second, a coequal tradeoff of computational cost and the reconstruction density was studied. Feature processing was found to be the most expensive factor of A3DRS. Also, predictor training in the virtual environments induces a risk of system failure when operating in non-ideal circumstances. Without mass data acquisition and artificial intelligence integration with embedded computer tasks, A3DRS cannot generate satisfying models for diverse applications. The results of this thesis research should be used as a basis for developing generalized machine learning models for depth estimation, object detection, and 3D structure generation.Distribution Statement A. Approved for public release: Distribution is unlimited.Ensign, United States Nav
Naval Postgraduate School, NPS Students, Researchers and Partners Operationalize Advanced Manufacturing at Trident Warrior 25
No full textFully Burdened Cost of Fuel
No full textNPS NRP Executive SummaryThe Naval Postgraduate School (NPS) research team assessed the Fully Burdened Cost of Fuel (FBCF) for Navy platforms operating in the U.S. Indo-Pacific Command Area of Responsibility (AOR). The analysis included a comparison of multiple fuels and the potential cost-competitive nature of generating fuel at sea. The report includes analyses in two scenarios with multiple fuels including traditional F76 and JP5, sustainable drop-in fuels, and sustainable drop-in fuel generated at the point-of-need. The analysis identified the absence of an up-to-date, common database to support FBCF modeling and highlighted the need for a DoD-wide capability to maintain requisite data and models to support FBCF analyses. The study revealed that the fully burdened cost of traditional fuel delivered to ships at sea is approximately 2.5x the Defense Logistics Agency (DLA) Standard Fuel Price. Meanwhile, the fully burdened cost of alternative drop-in fuel was approximately 1.35x the cost for traditional fuel. For in-theater fuel generation at sea to be cost competitive, a ship with 1 gigawatt (GW) of installed power generating 400,000 gallons of fuel per day would need a similar procurement cost to T-AO Class ships. The study concluded by recommending next steps, which include aligning the FBCF analysis process with other Navy energy data and analysis initiatives, such as Energy Supportability Analysis and Enterprise-Wide Energy Visibility projects; assessing FBCF delivered into the contested environment (i.e., marine expeditionary); and analyzing FBCF at specific locations to include analysis of non-product cost by location.Approved for public release. Distribution is unlimited.This research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)N9 - Warfare System