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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.
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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: UTOPIACOMPRESSION,CORPORATION Topic: DHP16C005
The goal of this STTR effort is to design a portable, multimodal, non-contact imaging system for burn depth diagnosis and tracking of wound healing. UC and Vanderbilt University will build upon our previous efforts demonstrated via porcine model studies to combine results from structural B-mode optical coherence tomography (OCT) images and functional data (pulse speckle imaging- PSI) to classify d ...STTR Phase I 2017 Department of DefenseDefense Health Agency
SBC: MAKEL ENGINEERING INC Topic: DHP16C002
Makel Engineering, Inc. and Sandia National Laboratories propose to demonstrate an advanced multi-modal sensor system suitable for in-situ analysis of exhaled VOCs for pilots, divers and field patients. Our proposed system will combine a micro-gas chromatograph (GC) and miniature ion mobility spectrometer (IMS) for detection of trace amounts of exhaled breath VOCs with miniature solid state sensor ...STTR Phase I 2017 Department of DefenseDefense Health Agency
Mask integrated Volatile Organic Compound (VOC) sensor for real-time warfighter physiological status monitoring in extreme and toxic environmentsSBC: BAYSPEC, INC. Topic: DHP16C002
BaySpec Inc., in collaboration with Pacific Northwest National Laboratory, proposes to develop an innovative orthogonal sensor systemthat would be able to detect, identify and quantify the inorganic components of breathing mixes, (i.e., nitrogen, oxygen, carbon dioxide, argon, helium, and water vapor), as well as individual detectable VOCs within the exhaled breath in real-time. The Phase I resear ...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: MAKAI OCEAN ENGINEERING INC Topic: N11AT017
Subsequent Phase II Proposal, extension of Phase II contract N00039-12-C-0082. This contract involves the development of an underwater vehicle that can reliably and autonomously interconnect power and data cables to undersea nodes after they have been deployed. The Auto-Docking Autonomous Burial Vehicle (AD-ABV) is a cable-connecting adaptation of Makai’s proven ABV, which has been successfully ...STTR Phase II 2017 Department of DefenseNavy
SBC: QUANTUM APPLIED SCIENCE & RESEARCH INC Topic: ST16C003
Modern defense systems place high cognitive demands on warfighters, often taxing the limit of human capabilities and causing operators to suffer Acute Cognitive Strain (ACS), wherein performance deteriorates markedly, leading to a loss of situational awareness and control, and decrements in team cooperativity. ACS leads to physiological changes driven by sympathetic system activation, including i ...STTR Phase I 2017 Department of DefenseDefense Advanced Research Projects Agency
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: Stottler Henke Associates, Inc. Topic: ST16C003
We propose to investigate, in collaboration with the Massachusetts General Hospital Voice Center and Altec, Inc., the application of surface electromyography (sEMG) to assessing cognitive workload, strain, and overload. Specifically, sEMG sensors placed on the face and neck will detect emotional/motor responses to workload strain. The proposed effort will build on the substantial sEMG experience o ...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