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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: INFOBEYOND TECHNOLOGY LLC Topic: N16AT020
Navy needs a real-time graph embedding tool for analyzing huge graphs (millions of nodes and billions of edges) from diverse sources. However, current approaches cannot provide dynamic and scalable graph analytics to show the military value of tactical data. In this project, InfoBeyond advocates EStreaming (Embedding & Streaming) for scalable and efficient graph streaming. EStreaming promotes big ...STTR Phase I 2016 Department of DefenseNavy
SBC: TECHNOLOGY ASSESSMENT AND TRANSFER, INC. Topic: N16AT005
Technology Assessment and Transfer will demonstrate the potential of novel, low friction and low wear coatings that are capable of providing long term durability for air cycle machine foil bearings. A systematic approach with a high probability of success includes the following: unique low friction, wear resistant alloys and lubricating ceramic composites, magnetron sputtering, the ideal method fo ...STTR Phase I 2016 Department of DefenseNavy
SBC: DYMENSO LLC Topic: N20AT013
High power generation at millimeter wave (mm-wave) frequencies is expensive and the concurrent need for wide bandwidths at these frequencies creates an extremely challenging problem. Currently the most stringent requirements for mm-wave power and bandwidth can only be practically met by vacuum electronics (VE) technology. At present, vacuum amplifiers with the required performance are prohibitivel ...STTR Phase I 2020 Department of DefenseNavy
SBC: MRV SYSTEMS LLC Topic: N14AT020
This proposal is a collaborative effort between MRV Systems and the Woods Hole Oceanographic Institution. The goal is to develop a new, small, inexpensive autonomous vehicle to investigate mixed layer dynamics and turbulent mixing. The preliminary Phase I design, a Diagonally Operating Platform (DOP), is a profiling float with moveable fins. DOP will turn toward an intended direction within a few ...STTR Phase II 2016 Department of DefenseNavy
Design of a High-Temperature Acoustic Liner for Enhancement of Detonation Wave Dynamics in a Lab-Scale Rotating Detonation CombustorSBC: HySonic Technologies, LLC Topic: N21AT011
HySonic Technologies, founded by Dr. Carlo Scalo, addresses this call by combining its capabilities in design of acoustically absorptive high-temperature materials with Dr. Carson Slabaugh’s (Purdue University) well-established expertise in designing and testing of Rotating Detonation Combustors (RDC) at various scales. HySonic’s history in the design of acoustically absorptive material relies ...STTR Phase I 2021 Department of DefenseNavy
SBC: TOYON RESEARCH CORPORATION Topic: N14AT009
Toyon Research Corporation, together with the University of California, Santa Barbara (UCSB) propose to demonstrate a GPS-denied Local Carrier-based Precision Approach and Landing System (LC-PALS) that enables 3-D position, navigation and time (PNT) for platforms within range of an aircraft carrier equipped with one or more ADEPT-compliant beacons. Unlike the Global Positioning System (GPS), which ...STTR Phase II 2015 Department of DefenseNavy
SBC: HEAT, LIGHT, AND SOUND RESEARCH, INC. Topic: N16AT018
Systems that operate in constrained environments depend on the acoustics in several ways. Harbor defense systems detect intruders (people and/or vessels) by either listening for their noises (passively) or by pinging on them and detecting their echoes (actively). Furthermore, such systems may also form the equivalent of an underwater cell phone network using sound to carry the information. The aco ...STTR Phase I 2016 Department of DefenseNavy
SBC: Intelligent Automation, Inc. Topic: N16AT013
For machinery control systems, forensics is a vital part to provide a cyber-protection strategy and aid in identification and troubleshooting of system malfunctions due to malicious and non-malicious events. A number of unique challenges exist for the forensic analysis of SCADA based systems. Components of a SCADA system are often resource constrained. In addition, SCADA based systems have a criti ...STTR Phase I 2016 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
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