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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: DATA FUSION & NEURAL NETWORKS, LLC Topic: AF17CT02
The problem addressed in this effort is to automatically learn historical ephemeris space catalog time, position, and velocity entity track update error uncertainties (i.e., without track error covariances) and to automatically (e.g., without expert event labeling) produce: â€“ unmodeled non-gravitational space catalog update flags â€“ abnormal unmodeled catalog update flags with abnorma ...STTR Phase II 2019 Department of DefenseAir Force
SBC: NUTRONICS, INC. Topic: AF18AT006
Through the execution of our Phase 1 effort, Nutronics, Inc. and Montana State University developed an improved means to optimize the Pellizzarri cost functional for coherent imaging using digital holography. Our algorithm developed during the Phase 1 effort accelerates convergence times by a factor of 20-40 for the majority of scenarios evaluated. Our proposed Phase 2 effort has a two-fold focus: ...STTR Phase II 2019 Department of DefenseAir Force
SBC: QUINC.TECH INC. Topic: AF18AT001
The Biomagnetics Micro Dosimetry System (BMDS) program will design, model, and simulate a microdosimetry system that can measure and create a three dimensional map of weak radiofrequency signals in biological organisms. The heart of the BMDS project is the front end that delivers very sensitive, broad band measurements with high spatial resolution. The front end is a valuable tool in the investiga ...STTR Phase II 2019 Department of DefenseAir Force
SBC: MAXENTRIC TECHNOLOGIES LLC Topic: AF18AT015
To meet the requirements of the AF18A-T015 solicitation, MaXentric and University of California San Diego are proposing the development of a low loss, high linearity capacitor. The tunable capacitor target is a compact integrated design, capable of a tuning range up to 4:1, with a minimum Q of 80 at 4 GHz, and handling up to 20W CW. During phase I, UCSD studied a novel varactor structure to improv ...STTR Phase II 2019 Department of DefenseAir Force
SBC: Information Systems Laboratories, Inc. Topic: AF19AT010
Recent advances and successes of deep learning neural networks (DLNN) techniques and architectures have been well publicized over the last several years. Voluminous, high-quality and annotated training data, or trial and error in a realistic environment, is required to achieve the promised performance potential of DLNNs. Unfortunately for DoD and/or Intelligence Community (IC) applications of mult ...STTR Phase I 2019 Department of DefenseAir Force
SBC: SOUTH 8 TECHNOLOGIES, INC. Topic: AF19AT014
The team at South 8 Technologies is the first to develop a novel and patented Liquefied Gas Electrolyte chemistry for rechargeable lithium metal batteries which meets these Air Force requirements. The proposed non-hazardous chemistry has already demonstrated world-record performance on the lithium metal anode (99.9% plating/stripping efficiency over hundreds of cycles) while maintaining high perfo ...STTR Phase I 2019 Department of DefenseAir Force
SBC: FUSE INTEGRATION, INC. Topic: AF17BT003
Currently fielded multi-beam CDL systems have been developed in an ad-hoc manner consisting of a collection of poorly integrated off the shelf technologies where controllers, radios, routers, firewalls, encryptors, and antennas are bolted together to reduce time to field. Proprietary APIâ€™s, electrical interfaces, and hardware interfaces impede the success of the approach and result in a sub ...STTR Phase II 2019 Department of DefenseAir Force
SBC: Cardiac Motion, LLC Topic: AF19AT003
Vital sign, such as respiration rate and heart rate, provide important indications of the physiological and mental conditions of an Airman. Being able to understand the physiological and mental conditions of an operator is therefore of vital importance to improving the efficiency and efficacy of future Air Force operations. Current state-of-the-practice in continuous cardiopulmonary vital sign mon ...STTR Phase I 2019 Department of DefenseAir Force
SBC: RAM LABORATORIES Topic: AF19AT013
Current techniques for supporting Multi-Level Security (MLS) on embedded devices rely on maintaining secure connections back to centralized servers or dedicated computers for managing authentication and access controls. To provide the embedded devices with the capability to handle content of differing security levels directly on device, the operating system (OS) must properly and securely isolate ...STTR Phase I 2019 Department of DefenseAir Force
Toolset For Prediction of Carbon-Carbon Aeroshell Properties Based On Constituent Materials And Manufacturing Process ParametersSBC: ATA ENGINEERING, INC. Topic: AF19AT021
Carbon-carbon (C-C) composites are used in the fabrication of aeroshells and thermal protection systems (TPS) in hypersonic and atmospheric reentry applications because they maintain their strength at elevated temperatures and have desirable thermal conductivity properties. Although these materials have been used in mission-critical components for decades, the effects of variations in processing m ...STTR Phase I 2019 Department of DefenseAir Force