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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: Crystalline Mirror Solutions, LLC Topic: AF17AT005
During the last two decades, vertical-external-cavity surface-emitting lasers (VECSELs) have emerged as excellent high-power laser sources that combine diode-pumping, broad-pump tolerance, wavelength selectivity, narrow linewidth, broad tunability, high beam quality, compactness, and efficiency into one attractive package. These characteristics make them an ideal candidate for use as more economic ...STTR Phase I 2017 Department of DefenseAir Force
SBC: G. A. Tyler Associates, Inc. Topic: AF17AT008
In this effort, tOSC and the University of New Mexico COSMIAC (Configurable Space Microsys- tems Innovation Applications Center) will combine to generate a Target-in-the-Loop (TIL) system concept that can simultaneously measure the strength of atmospheric turbulence and scintillation, as well as the refractivity occurring at the measurement time. For this system concept, we will leverage existing ...STTR Phase I 2017 Department of DefenseAir Force
SBC: Spectabit Optics LLC Topic: AF17AT010
The US Air Force has noted a need for a tool for broadband (300 nm2m) measurement of optical propagation properties such as absorption and scattering coefficients. A simple and inexpensive generic tool for extracting these properties from samples would be beneficial to many areas of both DoD and general scientific and industrial research. The present proposal seeks to develop a commercial instrume ...STTR Phase I 2017 Department of DefenseAir Force
SBC: Metacomp Technologies, Inc. Topic: AF17AT014
The proposed project will develop advanced modeling capabilities for hypersonic flow problems, specifically for predicting aerothermodynamic flow field for estimation of drag, thermal and structural loads, and for surface interactions. A quantum-to-continuum suite of tools that develop molecular relaxation models based on computational chemistry and quasi-classical trajectory (QCT) analysis will b ...STTR Phase I 2017 Department of DefenseAir Force
SBC: TOYON RESEARCH CORPORATION Topic: AF17AT027
Persistent tracking of high-value targets is of great interest for reconnaissance and surveillance applications. In recent work, deep neural networks have demonstrated excellent performance on the popular Visual Object Tracking (VOT) challenge; however, these algorithms have not been tested on applications of interest to the Air Force, such as ground vehicle tracking in video recorded from Unmanne ...STTR Phase I 2017 Department of DefenseAir Force
SBC: Cognionics, Inc. Topic: ST16C003
This STTR project aims to assess the feasibility of using laryngeal EMG to detect operator workload and strain. Phase I will develop a wearable neckband device positioning an array of laryngeal EMG electrodes plus additional sensors for measuring masseter EMG, heart rate variability, GSR and estimated relative blood pressure. The neckband will be optimized to be both wearable, comfortable and resi ...STTR Phase I 2017 Department of DefenseDefense Advanced Research Projects Agency
SBC: Space Micro Inc. Topic: MDA16T005
Space Micro and partner institution Arizona State University propose to design and prototype a Programmable Multi-Frequency Transmitter (PMFT) that is compliant with both the Kill Vehicle Modular Open Architecture (KVMOA) and Space Telecommunications Radio System (STRS) standards. The KVMOA maximizes reuse of components and system designs and reduce total ownership costs. The STRS standard allows ...STTR Phase I 2017 Department of DefenseMissile Defense Agency
SBC: TOYON RESEARCH CORPORATION Topic: MDA12T004
Overhead Persistent Infrared (OPIR) platforms observe challenging threat and scene phenomenology. Toyon Research Corporation developed an image processing framework for clutter estimation/suppression and track-before-detect to jointly detect and track targets. The Target Extraction and Conjoint Tracking application, developed under initial Phase II funding and demonstrated using real-world data so ...STTR Phase II 2017 Department of DefenseMissile Defense 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