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SBC: ONAI INC. Topic: N17AT021
We propose a multi-part system to process, understand, and summarize video streams. Our approach involves processing video and audio jointly; uses the latest advances in captioning and automatic speech-recognition to construct text narratives for the video; and uses NLP techniques to summarize and produce a reliable relevance ranking of these videos. We address all six technical challenges identif ...STTR Phase I 2017 Department of DefenseNavy
SBC: Perceptronics Solutions, Inc. Topic: N19BT029
Mission and planning is a difficult and time-consuming process that places a heavy burden on manpower and critical thinking and is performed under significant pressure. Existing and emerging artificial intelligence (AI) and machine learning (ML) techniques are well-suited to assisting humans with these challenges. While the promise of AI/ML is great, there are significant obstacles to operationali ...STTR Phase I 2019 Department of DefenseNavy
Prediction of Rotor Loads from Fuselage Sensors for Improved Structural Modeling and Fatigue Life CalculationSBC: ATA ENGINEERING, INC. Topic: N17AT009
ATA Engineering and researchers at the Georgia Institute of Technology will develop a framework for the accurate reconstruction of rotor loads from a suite of fixed-frame fuselage sensors that are utilized to augment physics-based simulations. The loads reconstruction framework will consist of two modules: the physics module, which provides first-principles predictions from simulations, and the se ...STTR Phase I 2017 Department of DefenseNavy
Development of powder bed printing (3DP) for rapid and flexible fabrication of energetic material payloads and munitionsSBC: MAKEL ENGINEERING, INC. Topic: DTRA16A001
This program will demonstrate how additive manufacturing technologies can be used with reactive and high energy materials to create rapid and flexible fabrication of payload and munitions. Our primary approach to this problem will be to use powder bed binder printing techniques to print reactive structures. The anticipated feedstock will consist of composite particles containing all reactant spe ...STTR Phase I 2016 Department of DefenseDefense Threat Reduction Agency
SBC: RADIABEAM TECHNOLOGIES, LLC Topic: N16AT010
The Department of the Navy has a need for the development of an additive manufacturing (AM) process for key vacuum electronic device components to meet on-demand, flexible, and affordable manufacturing requirements. The developed manufacturing method has a potential to reduce cost of vacuum electronics by as much as 70% as well as simplify and hence expedite production process of these devices by ...STTR Phase I 2016 Department of DefenseNavy
SBC: MATHEMATICAL SYSTEMS & SOLUTIONS, INC. Topic: N15AT005
We propose development of a software capability which, based on use of accurate and efficient exact-physics computational electromagnetics (CEM) solvers together with CAD-import (Computer Aided Design) and direct CAD-to-EM capabilities, will enable optimization of the properties of on-platform pRFID tag/reader antenna systems. For accuracy and modeling flexibility the proposed codes are based on M ...STTR Phase II 2017 Department of DefenseNavy
SBC: INTELLIGENT OPTICAL SYSTEMS, INC. Topic: N15AT008
Additive manufacturing (AM) is a very promising technique for rapid, low-cost production of aircraft parts directly from a CAD file. AM is especially appealing for complex parts that would be costly or impossible to fabricate by machining or casting. At the current time there are no reliable, cost-effective techniques to qualify the finished parts. Several government studies have noted this gap an ...STTR Phase II 2016 Department of DefenseNavy