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SBC: OEWAVES, INC Topic: A18BT014
In this Project OEwaves Inc. in collaboration with the UCLA trapped-ion quantum computing group proposes to develop extended-cavity ultra-stable diode laser systems that have the properties required for quantum computing and metrology. The system will be based on a semiconductor laser locked to a monolithic microcavity (a whispering gallery mode resonator, WGMR ) using a self-injection locking ...STTR Phase I 2019 Department of DefenseArmy
SBC: SYNVITROBIO, INC. Topic: A18BT016
There is a need to develop affordable and specific biosensors to defend against current and future biological threats. Biological methods of detection have been evolved by nature to detect molecules at the micro-scale with flexible specificity and with downstream effectors. Advances in cell-free technology allow for deployment of biosensors on pH-strip-type paper, an affordable, robust, disposable ...STTR Phase I 2019 Department of DefenseArmy
SBC: TRITON SYSTEMS, INC. Topic: A18BT022
The U.S. Army routinely deploys personnel in malaria-endemic regions as part of normal operations. Preventative measures to malaria infection include a highly-effective daily oral prophylactic antibiotic which is provided to personnel prior to deployment. However, due to side effects including nausea and photosensitivity coupled with organizational culture, poor adherence to the prescribed regimen ...STTR Phase I 2019 Department of DefenseArmy
SBC: TRITON SYSTEMS, INC. Topic: A18BT025
Triton Systems Inc. will work in collaboration with an academic partner to develop a model for a system to dynamically calculate the Center of Gravity (CoG) of a wheeled Squad Multipurpose Equipment Transfer (SMET) vehicle. The Army has tested several SMET vehicles of varying widths and heights and arrived at the conclusion that they ALL roll over, particularly if the vehicle is traversing the ter ...STTR Phase I 2019 Department of DefenseArmy
SBC: SC SOLUTIONS, INC. Topic: A18BT011
In this Small Business Technology Transfer (STTR) Phase I project, SC Solutions, teaming with Sandia National Laboratories (SNL), will demonstrate the feasibility of a scalable Quantum Computing Validation & Verification (QCVV) tool that will allow quantum computing researchers to rapidly and conveniently test and benchmark their quantum computing systems. While several QCVV techniques have been d ...STTR Phase I 2019 Department of DefenseArmy
SBC: HVMN Inc. Topic: SOCOM17C001
In the setting of altitude-induced hypoxia, operator cognitive capacity degrades and can compromise both individual and team performance. This degradation is linked to falling brain energy (ATP) levels and an increased reliance on anaerobic energy production from glucose. Ketone bodies are the evolutionary alternative substrate to glucose for brain metabolic requirements; previous studies have sho ...STTR Phase I 2018 Department of DefenseSpecial Operations Command
SBC: REJUVENATE BIO INC Topic: SOCOM17C001
Special Operations Forces (SOF) are an integral aspect of the US military. SOF operators are among the most elite and highly qualified individuals in the U.S. military. As such, extraordinary physical and mental demands are placed upon them to excel in extreme environments for extended periods of time. This unrelenting cycle of combat deployments and intense pre-deployment training shortens the fu ...STTR Phase I 2018 Department of DefenseSpecial Operations Command
Inhibiting Prolyl Hydroxylase to Mimic Natural Acclimatization to High Altitude to Improve Warfighter Performance at High AltitudeSBC: Research Logistics Company Topic: SOCOM17C001
Acclimatization is the long-term adjustment that humans experience when exposed for weeks or months to high altitude. Acclimatization is important in this context because a warfighter who is acclimatized to high altitude is immune to high altitude illness, has superior work capacity, and has cognitive function approaching that found at sea level. In other words, the acclimatized warfighter is opti ...STTR Phase I 2018 Department of DefenseSpecial Operations Command
SBC: Systems & Technology Research LLC Topic: SOCOM18A001
Face recognition performance using deep learning has seen dramatic improvements in recent years. This improvement has been fueled in part by the curation of large labeled training datasets with millions of images of hundreds of thousands of subjects.This results in effective generalization for matching over pose, illumination, expression and age variation, however these datasets have traditionally ...STTR Phase I 2018 Department of DefenseSpecial Operations Command
SBC: MUKH Technologies LLC Topic: SOCOM18A001
Recognizing faces in low-light and nighttime conditions is a challenging problem due to the noisy and poor quality nature of the images.Thermal imaging is often used to obtain facial biometric in such conditions. Thermal face images, while having a strong signature at nighttime, are not typically maintained in biometric-enabled watch lists and so must be compared with visible-light face images to ...STTR Phase I 2018 Department of DefenseSpecial Operations Command