Naval Research Program (NRP) Project Documents

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Orbital Engagement Maneuvering
(Monterey, California. Naval Postgraduate School, 2018-04) Hanlon, Edward; Yakimenko, Oleg; Naval Research Program (NRP); Naval Research Program; Graduate School of Engineering and Applied Sciences (GSEAS)
Reverse Engineering in Reverse
(Monterey, California. Naval Postgraduate School, 2018-04) Thompson, Michael; Naval Research Program (NRP); Naval Research Program; Computer Science (CS)
Hydrogen Fuel in Support of Unmanned Operations in an EABO Environment
(Monterey, California: Naval Postgraduate School, 2022) Pollman, Anthony G.; Beery, Paul T.; Lussier, Jonathan; Naval Research Program (NRP); Naval Research Program (NRP); Systems Engineering (SE)
Navy and Marine Corps planners developed the Expeditionary Advanced Base Operations (EABO) concept of operations to provide maritime commanders with more options for future sea control operations. Additionally, Littoral Operations in a Contested Environment (LOCE) is the concept for logistical support to multiple EABO sites. Finally, NAVPLAN 2020 and the Tri-Service Maritime Strategy detail the importance of unmanned systems capabilities to future warfighting. Many unmanned undersea and aerial systems currently in development are looking to alternative energy sources, including hydrogen, to maximize operational reach and persistence. The picture is clear, the future combat environment demands risk-worthy platforms to perform sea denial as a low-signature "inside force' that is untethered from a large petroleum supply chain. This study will assess hydrogen requirements for use as a fuel in an EABO environment to inform development of a capability evolution plan. This work will apply a holistic, systems engineering approach to develop a finite set of scenarios for hydrogen use as a fuel in an EABO environment. One scenario will be modelled to determine short, mid, and long-term requirements for: hydrogen generation and storage, fuel-cell numbers and capabilities, facilities, and safety or other '-ilities' of relevance. The goal is to investigate benefits and system of systems trade-offs with the objective of delaying fuel resupply to the greatest extent possible. This will inform identification of DOTMLPF gaps to hydrogen adoption as an enabler of EABO in LOCE and support development of a capability evolution plan. This work directly supports technology assessment & transition in support of ONR S&T objectives, as well as the analysis & assessment needs of OPNAV N-94, MCWL, and NECC. An interdisciplinary team of students and faculty from Systems Engineering, Mechanical Engineering, and Operations Research will contribute. Systems Engineering will lead the study.
GCSS Analytics Proof of Concept
(Monterey, California. Naval Postgraduate School, 2016) Kendall, Tony; Schwamm, Riqui; Naval Research Program (NRP); Naval Research Program; Graduate School of Operational and Information Science (GSOIS)
A Technical Roadmap for Autonomy for Marine Future Vertical Lift (FVL)
(Monterey, California: Naval Postgraduate School, 2022) Miller, Scot A.; McGuire, Mollie R.; Boger, Dan C.; Fitzpatrick, Christian R.; Mislick, Gregory K.; Johnson, Bonnie W.; Naval Research Program (NRP); Naval Research Program (NRP); Information Sciences (IS); Information Sciences (IS) ; Consortium for Intelligent Systems Education and Research (CISER)
The Marines desire to leverage automation in their next Future Vertical Lift (FVL) platform, meaning they must define the human-FVL teaming interactions. The FVL will operate in a wide spectrum of flight regimes, from remotely piloted, to fully manned, to mostly automatic, and in combinations of the above. This broadened operating approach necessitates that understanding the various human machine teaming interdependent interactions across this diverse operating spectrum be completely delineated. NPS is well positioned to assist. Three approaches are considered: Use Co-active Design, since it is a rigorous engineering process that captures these interactions and interdependencies, develops workflows, and identifies resilient paths for human machine teaming using interdependence analysis (IA); define an FVL 'Living Lab' (LL) that the FVL program management office (PMO) could use to explore technical and concept tradeoffs; establish the cost/benefit relationships of these approaches; and design approaches to developing trust within this operating framework. The topic sponsor desires these techniques so as to create a PMO that decreases the speed at which technical tradeoffs can be identified and made.
USMC Distribution in the Battlespace
(Monterey, California. Naval Postgraduate School, 2015) Kendall, Anthony; Naval Research Program (NRP); Naval Research Program
The NPS research team is tasked to develop an information architecture that selects relevant information from the C2, C4, ITV databases and other logistic and sources to create an integrated Information System model that captures the information needed for the effective tactical distribution of supplies for ground and air supporting MAGTF. The researchers are documenting and providing an ETL (Extract Transformation Loading) framework strategy for the relational sources. The research is developing a ﾓproof of conceptﾔ prototype that provides example analytics for the end user.
Considerations for Cross Domain / Mission Resource Allocation and Replanning
(Monterey, California: Naval Postgraduate School, 2022) Johnson, Bonnie W.; Green, John M.; Kendall, Walter Anthony; Miller, Scot A.; MacKinnon, Douglas J.; Godin, Arkady A.; Naval Research Program (NRP); Naval Research Program (NRP); Systems Engineering (SE)
Naval platforms are inherently multi-mission - they execute a variety of missions simultaneously. Ships, submarines, and aircraft support multiple missions across domains, such as integrated air and missile defense, ballistic missile defense, anti-submarine warfare, strike operations, naval fires in support of ground operations, and intelligence, surveillance, and reconnaissance. Scheduling and position of these multi-mission platforms is problematic since one warfare area commander desires one position and schedule, while another may have a completely different approach. Commanders struggle to decide and adjudicate these conflicts, because there is plenty of uncertainty about the enemy and the environment. This project will explore emerging innovative data analytic technologies to optimize naval resource allocation and replanning across mission domains. NPS proposes a study that will evaluate the following three solution concepts for this application: (1) game theory, (2) machine learning, and (3) wargaming. The study will first identify a set of operational scenarios that involve distributed and diverse naval platforms and resources and a threat situation that requires multiple concurrent missions in multiple domains. The NPS team will use these scenarios to evaluate the three solution concepts and their applicability to supporting resource allocation and replanning. This project will provide valuable insights into innovative data analytic solution concepts to tackle the Navy's challenge of conducing multiple missions with cross-domain resources.
MARFORCYBER
(Monterey, CA: Naval Postgraduate School, 2014) Albright, Thomas; Salem, Anita; Hernandez, Lucas F.; Johnson, Derek K.; Naval Research Program (NRP); Graduate School of Business & Public Policy (GSBPP)
CAD Interoperability for Navy Reuse in Additive Manufacturing (AM), 3D Printing, Maintenance and Training
(Monterey, California. Naval Postgraduate School, 2016) Sadagic, Amela; Brutzman, Don; Naval Research Program (NRP); Naval Research Program; MOVES Institute
Automated Cyber Operations Data Mission Replay
(Monterey, California: Naval Postgraduate School, 2021) Prince, Charles D.; Singh, Gurminder; Shaffer, Alan B.; Naval Research Program (NRP); Naval Research Program (NRP); Computer Science
The ability to replay cyber mission data on a simulated adversary network can be useful for a multitude of purposes including operator training, defensive cyber operations (DCOs) and learning new strategies for offensive cyber operations (OCOs). To replay cyber mission data, we must first represent the data as an executable script, which would be executed in a controllable run-time environment on the simulated adversary network. While PCTE can be used to simulate an adversary network, it needs the runtime environment for script execution.