Award Data

Innoflight will develop a high performance software-defined compact radio (SCR) with Ka and X dual band downlink capability and S Band uplink capability. The Ka / X SCR will support 300 Mbps downlink and 5 Mbps uplinks rates using advanced spectrally efficient waveforms. It will offer interoperability with standard government and commercial ground stations such as the Army RGT (Remote Ground Termi ...

Sweat contains biomarkers that give an indication of human cognitive levels. In this SBIR project TDA Research is developing a modular sweat sensor patch that has the capability to not only carry out real-time monitoring of select biomarkers, but also to

Researchers are identifying new biomarkers to help monitor cognition and stress in the human body and enhance human performance. Traditional biomarkers like heart rate, temperature, oxygen saturation, blood glucose, electrolyte concentration, etc have bee

In order to meet DHA’s need for in-line, non-invasive and non-destructive cell monitoring in dynamically growing cultures, In Phase I, ChromoLogic (CL) developed a prototype system for cell monitoring by optical coherence tomography (CM-OCT). Following th

The US Dept. of Labor, Bureau of Labor Statistics reports 15,300 non-fatal occupational incidents of respiratory illness during 2016.Many workers are exposed to harmful chemical vapors in the workplace.To study exposures to these vapors, industrial hygienists and environmental scientists use vapor-sampling technologies to measure both intensity and duration of exposures.Current air-sampling techno ...

Commercial off the shelf (COTS) sequential samplers that pull contaminated air through thermal desorption (TD) sample tubes have many limitations that reduce their usefulness when they are used to measure volatile organic compounds (VOCs) in air.In this SBIR Project TDA Research is developing an intelligent thermal desorption tube sequential sampler that can be used for VOC sampling in the workspa ...

Problem: Currently available resuscitation fluids have been shown to induce detrimental effects on trauma outcomes. Objective: The objective of this proposal is to use the data from the successful Phase 1 studies to guide the continued development and te

Toyon Research Corporation proposes to develop algorithms that improve the precision and recall of neural networks for low-shot object classification and detection. Our approach is based upon developing a descriptive multi-domain feature representation of the low-shot target as well as the surrounding context. A multi-branch neural network merges the various domains of information to perform accur ...

Toyon proposes to research and develop algorithms for generalized salient change detection, and to incorporate these algorithms into software tools implemented on the cloud. Our approach leverages the two most promising methods from Phase I, both based on supervised learning. The first method is the entropy-based feature vector and corresponding neural network, which we will apply at a coarse sear ...

Implement methods to improve our Phase I architecture for complex SAR imagery collected from different systems and with different collection parameters. Implement techniques to boost performance across all ground features of interest. Reduce the amount of human intervention needed for training our SAR image segmentation architecture.  SAR segmentation can be applied to a number of areas: Intellig ...