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SBC: UHV TECHNOLOGIES, INC. Topic: AF18BT007
The machine learning and artificial intelligence community has recently garnered much attention for ground breaking performance of novel neural network architectures for self-driving cars. One of the machine learning methods used in self-driving cars is semantic segmentation. In this fashion each pixel in an image is label with a class, allowing for contour-based image segmentation which is differ ...STTR Phase I 2019 Department of DefenseAir Force
SBC: CMSOFT, INC. Topic: AF18BT008
The main objective of this STTR effort is three-fold. First, to develop and demonstrate in Phase I a Bayesian methodology exploiting flight test data in order to identify critical store carriage tests and clear non-critical store carriage configurations by updated analysis. Second, to extend in Phase II the scope of this methodology to viscous flows with analysis enriched using analytical sensitiv ...STTR Phase I 2019 Department of DefenseAir Force
SBC: SIGNAL SOLUTIONS, LLC Topic: AF18BT013
Adiabatic logic-based energy-conserving circuits have potential to significantly improve energy efficiency. Adiabatic circuits recycle charge stored in load capacitance resulting in lower power dissipation as compared to conventional CMOS. However, these circuits have only targeted low-frequency operations. Research is needed to develop adiabatic logic circuits for high performance applications wi ...STTR Phase I 2019 Department of DefenseAir Force
SBC: SA PHOTONICS, LLC Topic: AF18BT015
We propose a compact, monolithic, power scalable, hollow core fiber-gas laser emitting in the atmospheric transmission region in the mid-IR. The proposed optically pumped fiber-gas laser system is efficient, has a small footprint as well has a broad spectral coverage in the mid-IR. Due to the unique approach employed, the proposed technology allows generation of mid-IR output with varying pulse re ...STTR Phase I 2019 Department of DefenseAir Force
SBC: OCEANIT LABORATORIES INC Topic: AF18CT003
Modern electronic warfare (EW) employs agile, dynamic, convert waveforms. It has become challenging for legacy electronic intelligence (ELINT) receivers to intercept such waveforms. To cover a wide frequency band, many frequencies must be scanned rapidly. Therefore, the probability of intercepting by the super heterodyne receiver is limited by the intermediate frequency (IF) bandwidth and tuning s ...STTR Phase I 2019 Department of DefenseAir Force
SBC: CFD RESEARCH CORPORATION Topic: AF19AT002
hazardous chemicals such as JP8, chromium, and byproducts of led-free frangible ammunition and to hazardous environments. Of the many dangers Airmen face, the hypoxia-like unexplained physiological events pilots face are some of the most dangerous and elusive. Current wearable sensors cannot decouple complex, interdependent in vivo response. We propose to develop (design, fabricate, test, and demo ...STTR Phase I 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: ROCHESTER SCIENTIFIC LLC Topic: AF19AT008
Large ground-based telescopes require adaptive optics (AO) to correct for distortions introduced by atmospheric turbulence. In order to function, the AO system must track a bright point source. Although a natural star may be used, full sky coverage requires an artificial beacon created with a laser. The most common type of laser guide star (LGS) employs the mesospheric layer of sodium atoms at an ...STTR Phase I 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: OPTO-KNOWLEDGE SYSTEMS INC Topic: AF19AT011
New, innovative laser spectroscopy technology will be developed for performance quantification and combustion characterization in a Rotational Detonation Rocket Engine (RDRE). The effort will push the state of the art in tunable laser absorption spectroscopy to enable fast time response diagnostics of the extreme pressure and temperature conditions of an RDRE.STTR Phase I 2019 Department of DefenseAir Force