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Fleet Design, Force Regeneration and Strategic Planning
Get PDFAs currently envisioned, Fleet Design 2.0 (and beyond) ensures that long-range planning processes will help guide decision-making of fleet architecture that may dramatically change the shape and content of the Navy’s fleet. Today’s architecture is largely based on legacy platforms and concepts of employment rooted in the experiences of the Cold War and World War II. To respond to future geopolitical conditions, Fleet Design 2.0 will need to closely integrate advances in technologies with the capacity to produce at scale within the nation's industrial base. This project analyzes the intersection between long-term strategic planning and the features of the industrial base that may affect force regeneration and sustainment in peace and in war. Inherent characteristics of the industrial base should figure prominently in helping to support decision-making that will determine the shape of fleet architecture, which must be tied to a coherent theory of war. This project seeks to operationalize and unpack considerations surrounding the industrial base in the Fleet Design 2.0 planning process. The report emphasizes an historical perspective as illustrative in developing ways of breaking down these issues for the Navy to sort through as it prepares to more coherently link its fleet architecture with war plans and regeneration.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/nrpNaval Research Program, Naval Postgraduate SchoolOPNAV N
Class VIII Push Packs Resupply
No full textNPS NRP Executive SummaryWith high expected casualty streams in contested environments, line-by-line resupply based on the low Periodic Automatic Replenishment (PAR) level may not be practical due to the tyranny of distance. Ship’s personnel order medical materials at the point when inventory needs replenishment. Thus, the supplies would not be available when needed due to multiple factors, including the ship's location within the battlespace. Using data from past Distributed Maritime Operations wargames and the Joint Medical Planning Tool, simulation via a tabletop exercise (TTX) was conducted to see how AI can be used to forecast optimal medical supply requirements, what the most useful push packs per clinical category are, and how push packs can best be deployed.
Findings.
1. The incorporation of Monterey Phoenix (MP), a Navy-developed language approach tool, benefited the defined system/process taken during the tabletop exercise.
2. A wide variety of medical and medical support personnel included in the effort helped to flush out the pain points and areas of concern allowing for future scoping and addressing these areas.
a. Groups tended toward developing a push pack list based on the lowest common denominator (guided-missile destroyer [DDG] with an independent duty corpsman [IDC] rather than the vessel at hand (nuclear aircraft carrier [CVN]/amphibious assault ship [LHA]).
3. The operating room on a CVN is not a large-scale trauma facility, even with an unlimited supply of medical supplies. If there is no plan for maintaining a patient after major surgery, the surgery will not be performed on the CVN.
4. There is a need to focus not only on the needs of wounded personnel, but also on providers, especially their throughput due to numbers and/or skillsets. It is a variable in the equation and may open ideas of how to manage a mass casualty event.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)N4 - Material Readiness & Logistic
Integration and Utilization of the Optical Dazzler Interdictor Navy Capability to Support Fleet Operations
Get PDFNPS NRP Executive SummaryThe Navy is pursuing directed energy (DE) systems for a variety of maritime shipboard capabilities including sensing, targeting, and soft-kill dazzling of adversarial targets of interest. This study assessed the utility of the Navy’s Optical Dazzler Interdictor Navy (ODIN) system to support fleet operations. The study considered shipboard system concepts of employment and utility as individual systems and in concert with other shipboard combat systems and effectors. The project studied the use of ODIN for sensing, targeting, and countering unmanned systems as well as contributing in other ways to strategic naval missions.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)N2/N6 - Information Warfar
Machine Learning Models for Cyber Operations
No full textNPS NRP Executive SummaryThis work is motivated by the need to model offensive and defensive cyber operations, where the goal is to balance offensive and defensive cyber operations for a given budget or effort constraint, in the face of a non-strategic opponent. Currently, Fleet Cyber Command receives four percent of the Navy funding. The Navy funds surface, subsurface and air given current priorities. Therefore, Navy cyber must provide the best possible effect on a relatively small budget. As technology advances, cyber will take a more prominent role in naval operations, therefore understanding the effectiveness of cyber forces is key to decision-makers in preparation for future wars. This study explores the intersection of decision theory, specifically influence diagrams, and neural networks in modeling cyber operation funding decisions. The research attempts to maximize utility by determining the optimal funding allocations for the three cyberspace operations by leveraging a neural network trained while accounting for the effectiveness of Blue Force’s intelligence and adversarial influence. The model attempts to capture near-real-world scenarios, within classification limitations, to evaluate how funding decisions impact the efficacy of cyber operations.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)U.S. Fleet Forces Command (USFLTFORCOM
EABO Connector Optimization Model Reformulation and Improvement
No full textThe United States Marine Corps requires time-efficient, accurate modeling tools to inform decision makers on how to meet logistical requirements while conducting Expeditionary Advanced Base Operations. This concept relies heavily on small, independent forces that can conduct maritime operations, command and control, and littoral combat operations within contested environments. The Marine Corps currently utilizes a heuristic model known as the Strategic Marine Analytical Solving Heuristic (SMASH) as well as the Path and Route Mixed Integer Program (PRE-MIP) optimization model, which is a reformulation of the previously used Path Enumeration Mixed Integer Program (PE-MIP), to configure solutions while analyzing logistic networks. The PRE-MIP model works by selecting a path for each piece of cargo to transit the network, and a route for each vessel to take. While each of these models is capable of producing solutions, the SMASH model produces unreliable solutions due to its heuristic nature and the PRE-MIP model cannot reach an optimal solution within a reasonable amount of time for large instances. This work aims to reduce computation time by first solving the linear program relaxation of PRE-MIP, then discarding those paths and routes that were not heavily utilized in the linear program. This results in a filtered path and route instance, which is much easier to solve as a mixed integer program.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)Naval Postgraduate School, Naval Research ProgramOperations Analysis Directorat
Basic and Applied AI Research Requirements ISO of the Battlespace to Ensure Decision Superiority
Get PDFRDT&E 6.1 – 6.6 requirements act as a foundation for the funding of all, with no exceptions, programs and projects in the Department of Defense. However, it is an uncharted territory in regard to developing a sound methodology on how to define requirements that avoid supporting existing hype built around the enormously important space of Artificial Intelligence (AI). The purpose of the study is meticulous exploration of requirements definitions to ensure the requirements support important connection with the data strategy for AI. Supporting such a connection is a necessity as otherwise AI requirements will be biased due to financial pressures in the AI space and the possibility of another winter in this space. Connecting data strategy with a top-down AI requirements approach is known to foster innovation. The Machine Learning bottom-up approach is proven to scale.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)Naval Postgraduate School, Naval Research ProgramONR/Naval
Evaluating TTPs for Use of Acoustic Forecasts in USW
No full textThis research assesses whether, how, and under what circumstances ocean and acoustic forecasts used with tactics, techniques, and procedures (TTPs) and optimization algorithms, improve undersea warfare (USW) search mission outcomes, and how the choice of environmental inputs, and the way they are used in decision making, can better exploit forecasts and improve mission outcomes. Using an experimental system that combines on the experimental capability combining historic ocean models with Navy acoustic models and USW mission models, we studied the impact of ocean variability in the Kuroshio extension region in the North Pacific and the region of the South Cyprus eddy in the Eastern Mediterranean, and find that geographic and temporal variability, even on the scale of one to two days, is highly relevant, which supports the importance of daily acoustic runs using updated ocean models. Both TTPs and optimization algorithms were found to use highly simplified assumptions regarding the acoustic environment. The results of this interdisciplinary study suggest that environmentally informed TTPs and formulations of optimization models for search planning, which are being pursued in the ongoing research, can improve mission outcomes.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/nrpInformation WarfareNaval Research Progra
Method and System of Detecting Computer Network Data Leaks Over Optical Channels
Get PDFA method and system for detecting computer network data leaks over optical channels, for example using a mobile phone or other handheld device to rapidly scan a room with many light sources to identify the hidden transmission of data via optical steganography. The method of identification leverages spectral divergence created by the entropy produced by steganographically embedding data in the optical channel. The method and system proceed through multiple steps that can be computed in near real-time to eliminate background spectrum effects and isolate likely sources of information. The user or automated detection system captures a short video, and the video frames are then subdivided into smaller blocks effectively producing many adjacent videos of smaller pixel area
MODELING OF MULTIBEAM TIME SERIES MEASUREMENTS OFF THE COAST OF CALIFORNIA
No full textThis research explores the application of a time-series model to predict acoustic scattering in complex seafloors. The study is motivated by the need to improve existing models, which currently lack reliability in predicting acoustic behavior when the scattering comes from within the sediment. In order to increase understanding of these areas, real data from the Santa Barbara Channel, collected from a multibeam sub-bottom profiler (Kongsberg SBP-29) was compared with outputs from the time domain seafloor scattering model. The developed model matches the data for reasonable values of geoacoustic properties in the study area. Continued effort should be applied in this field, and future work could focus on varying seafloor characteristics and modeling noise to increase the model's applicability. This work has the potential to provide significant improvements in sonar-based detection and modeling for naval applications on and beneath the seafloor.Distribution Statement A. Approved for public release: Distribution is unlimited.Lieutenant Commander, United States NavyOffice of Naval Research, Arlington, VA, 2221
Faces of NPS: Vice Adm. Dimitrios Kataras, Hellenic Navy
No full textFaces of NPS features interviews spotlighting the students, faculty, staff and alumni of our Nation's premier defense education and research institution