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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: Ocean Bay Information and Systems Management, LLC Topic: DLA15C001
Inspecting for and detecting counterfeit, unapproved material substitutions or substandard processed raw material using existing processes is difficult, time consuming and expensive.Ocean Bay, LLC and the Primary Investigator, Karen Bruer, formed a team consisting of Ocean Bay, LLC, Savanah River National Laboratory and Old Dominion University, to apply for DLA15C-001:Detecting Substandard, Noncon ...STTR Phase II 2017 Department of DefenseDefense Logistics Agency
SBC: Metacomp Technologies, Inc. Topic: N17AT002
The proposed project will develop advanced modeling capabilities for high-fidelity liquid-fuel spray calculations. State-of-the-art multiphase combustion models will be implemented in a volume-filtered Eulerian-Lagrangian framework that can easily be ported into existing CFD codes. Unlike traditional methods, the proposed strategy will ensure convergence under mesh refinement of the interphase exc ...STTR Phase I 2017 Department of DefenseNavy
SBC: Modulated Imaging Inc. Topic: DHA17A006
There is a lack of quantitative tools to accurately map tissue viability in a rapid and quantitative manner so a surgeon can properly excise tissue prior to grafting. Spatial Frequency Domain Imaging (SFDI) is an optical method that has been shown to be a reliable method for physiology assessment - particularly for burn depth. SFDI measures of tissue structure (scattering) and function (hemoglobi ...STTR Phase I 2017 Department of DefenseDefense Health Agency
SBC: Stottler Henke Associates, Inc. Topic: N17AT004
We propose to adapt and automate the processes and technologies associated with evidence based decision support to the Navyproviding a tool that can synthesize current cognitive and learning science knowledge and inform decisions so as to maximize the value gained for each training expenditure. We will develop a plug-play architecture that will allow us to make the best use of emerging technologie ...STTR Phase I 2017 Department of DefenseNavy
SBC: BCL Technologies Topic: N17AT010
BCL proposes developing a Graphical Speech Recognition Tool (GSRT) that will allow Navy Training Operators and Developers to customize Automatic Speech Recognition (ASR) Systems to their scenarios within minutes and without the need for external support. In addition, the GSRT System will have a Train the Speaker module that will allow users to familiarize themselves with the ASR System so that the ...STTR Phase I 2017 Department of DefenseNavy
SBC: OPTIMAL SYNTHESIS INC. Topic: N17AT010
Crew resource management training systems are often constrained by the high cost and lack of flexibility in coordinating a large groups of human role players for part-task training. Motivated by the recent maturation of the speech synthesis and recognition technologies, speech-enabled crew role-player agents are being introduced to address these limitations. However, difficulties remain in customi ...STTR Phase I 2017 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
SBC: EXOANALYTIC SOLUTIONS INC Topic: MDA15T001
ExoAnalytic Solutions is developing DEEPR (Deep Learning with Whole-Scene Contextual Reasoning for Object Characterization), an advanced multi-sensor multi-object classifier for integrated object characterization. The overall objective of DEEPR is to develop a suite of advanced, novel techniques that combine innovative advances in deep, hierarchical machine learning together with recurrent Deep L ...STTR Phase II 2017 Department of DefenseMissile Defense Agency
SBC: ULTIMARA INC Topic: N17AT001
The goal of this program is to develop and construct a thin, light weight, low power, large aperture, electro-optic (EO) transmissive scanner that utilizes electro-optically active nanomaterial structures, suitable for UAVs platform. The nano-material beam-steering technology aperture system offers an ultra-thin Size, Weight, and Power (SWAP) to fit on UAV;s airframe and achieve ultrafast and wide ...STTR Phase I 2017 Department of DefenseNavy