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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
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SBC: CATTO PROPELLERS Topic: N20AT006
In the proposed STTR study, Catto Propellers, Inc. (Catto) and the University of North Dakota (UND) will create an efficient new propeller design utilizing advanced composite materials for use on small unmanned x systems. During Phase I, a comprehensive study will be conducted to develop a new propeller design in order to increase propeller efficiency, reduce aerodynamic noise and utilize innova ...STTR Phase I 2020 Department of DefenseNavy
SBC: FASTER LOGIC, LLC Topic: N20AT016
Whereas quantum computers stand to drastically transform computation for a number of existing and future problems, its realization in the near term produces certain challenges. Simulation and Emulation techniques make it possible to consider the advantages of quantum computation in real-world applications in cryptography, machine learning, signal processing, and cybersecurity. They also open t ...STTR Phase I 2020 Department of DefenseNavy
SBC: Intelligent Automation, Inc. Topic: N20AT017
Social media platforms have enhanced many communities by facilitating online development of relationships, fostering collaboration, connecting friends and supporting activism. However, these platforms are also environments for people to bully and spread hate. Furthermore, adversaries of the United States and its allies have weaponized social media to spread disinformation. Intelligent Automation, ...STTR Phase I 2020 Department of DefenseNavy
SBC: METROLASER, INCORPORATED Topic: N20AT020
In hypersonic flight, airborne particles such as water or ice can penetrate and alter the bow shock and flow field, enhance erosion mechanisms and alter aerodynamics. Particles break up as they pass through the shock wave, impact the surface, erode and increase surface roughness, increase turbulence and heat transfer, and augment heating that can destroy heat shields prematurely. Many tests and th ...STTR Phase I 2020 Department of DefenseNavy
SBC: SEATREC, INC. Topic: N20AT023
Seatrec will collaborate with a team from the Woods Hole Oceanographic Institution to demonstrate the technical feasibility and commercial applicability of a novel energy harvesting system that converts thermal energy from high-latitude air-sea temperature differences into electricity. This capability will extend the endurance and capability of observing system elements, reduce battery waste, a ...STTR Phase I 2020 Department of DefenseNavy
SBC: TOYON RESEARCH CORPORATION Topic: N20AT024
To support Navy Live, Virtual, and Constructive (LVC) training for surface fleets during periods of long transit, the Navy would like to consider alternative communication paths that can link shore based trainers and simulation capabilities with trainers and training systems afloat. To support full spectrum training during the training events, there is a desire to selectively turn off communicatio ...STTR Phase I 2020 Department of DefenseNavy
SBC: ADVANCED TECHNOLOGY AND RESEARCH CORPORATION Topic: N20AT010
The overall goal of this STTR Phase I project is to develop a concept to mitigate the effects of motion/vibration for a shipboard material extrusion additive manufacturing (AM) system. NAVSEA has been installing advanced manufacturing equipment, including 3D printers, onboard ships in support of shipboard operations and to evaluate performance of the equipment in shipboard environments and in re ...STTR Phase I 2020 Department of DefenseNavy
SBC: INTELLIGENT FUSION TECHNOLOGY, INC. Topic: N20AT011
Modern US Navy ships and submarines are configured with an ever-increasing level of automation, including state-of-the-art embedded wireless sensors that monitor vital system functions. However, sensor nodes have the potential to serve as targets for cybersecurity attacks or be susceptible to corruption through accidental or malicious events. To address these shortfalls and minimize vulnerabilitie ...STTR Phase I 2020 Department of DefenseNavy
SBC: Objectsecurity LLC Topic: N20AT011
Condition-based maintenance plus (CBM+), and cyber-physical systems (CPS) in general, depend on correct sensor data for analysis, decision making and control loops. If the sensor data that arrives at the point of processing is not correct, or more accurate, is outside its accepted error range, then any further processing will be incorrect as well. This could result in, in the case of CBM+, not det ...STTR Phase I 2020 Department of DefenseNavy
SBC: Intelligent Automation, Inc. Topic: N20AT011
Navy is developing the concepts and methods to leverage Machine Learning (ML) techniques for the maintenance decision-making on condition-based maintenance plus (CBM+) platform. Effective health monitoring for condition-based and predictive maintenance requires intelligent sensor selection and placement, and context-aware interpretation of sensor data to detect the many possible fault modes. Moreo ...STTR Phase I 2020 Department of DefenseNavy