Award Data

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 [1]) using a self-injection locking ...

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 ...

Vector Atomic will develop precision, ultra-low noise laser control electronics with low cost, size, weight, and power (C-SWaP). The electronics will be designed to broadly support the various laser types of used for quantum technology, which span 369-1550 nm. The C-SWaP and system architecture will support scaling of quantum systems to higher laser counts. The design will also include essential f ...

There are currently no vaccines or therapeutics available for Marburg Virus Disease (MVD). Given the specter of weaponization and the terriblemorbidity and high mortality rate of MVD, this represents a critical threat to the operational readiness of the Warfighter. While traditionalvaccines have proven to be a huge contribution to public health, they do have some limitations especially in the cont ...

Flow Pharma, Inc. is a biotechnology company in the San Francisco Bay Area developing fully synthetic cytotoxic T lymphocyte (CTL)stimulating peptide vaccines for Marburg virus. The FlowVax vaccine platform allows us to create dry powder formulations of biodegradablemicrospheres and TLR adjuvants incorporating class I and class II T cell epitopes. FlowVax vaccines can be designed for delivery by i ...

The focus of this STTR phase I component is on proof-of-concept studies demonstrating applicability of technical approaches for identificationof circulatory diagnostic markers for infectious disease. Therefore, the primary objective of this project is to determine feasibility of one suchtechnical approach called Proteomics-based Expression Library Screening (PELS), for identification of pathogen-d ...

PS-MS is a simple and powerful method for rapid ambient sample preparation. However, its simplicity also means separation of undesirable components (particulates and molecular interferents) is not possible. Furthermore, samples must be collected by other means (e.g., dried blood spot cards) and placed on the ticket in liquid form before analysis. Although the technique is sensitive (nanograms to t ...

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 ...

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 ...

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 ...