Award Data

This Phase II work will develop a methodology for radiation hardness testing of microelectronics. This methodology includes understanding of device physics and irradiation sources, as well as utilization of irradiation facilities and dosimetry of irradiated microelectronics. The methodology necessarily incorporates design of testing procedures, development of experimental setups including microele ...

We will investigate the radiation effects on microelectronics due to gamma-rays and beta-rays and compare the effects on electrical and material properties between the two radiation types to formulate a quantitative mapping of radiation types (gamma and beta) and effects. The purpose is to: 1) Develop an overall physics-based strategy; 2) Define the experimental design, guided by analytical calcul ...

The team of Signature Research, Inc. and Michigan Technological University will develop and demonstrate methods and metrics to evaluate the performance of machine learning-based computer vision algorithms with low numbers of samples of labeled EO imagery. We will use the existing xView panchromatic dataset to demonstrate a proof-of-concept set of tools. If successful, in Phase II, we will extend t ...

A prototyping effort is being proposed to develop methods and tools for utilizing structures of opportunity as efficient radiations in the HF, VHF and UHF bands.

The multidisciplinary area of GEOINT is changing and becoming more complex. A major driver of innovation in GEOINT collection and processing is artificial intelligence (AI). AI is being leveraged to help accomplish spatial analysis, change detection, and image or video triage tasks where filtering objects of interest from large volumes of data is critical. NGA is confronting the changing GEOINT l ...

Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

We are proposing characterization and development of binder/separator and Cobolt Disulfide (CoS2) cathode for thermal batteries. The proposed solution addresses significant market segment, and supports projected markets growth. Along with our development in Phase I and Phase II, we will aim for fully functional prototypes and field tries, and market of our technology to DoD agencies. Approved for ...

A new dual pump hydraulic supply designed to enable energetically autonomous exoskeleton robots will be developed, tested and demonstrated. This new hydraulic supply will be integrated with a high performance hydraulically actuated full body exoskeleton robot and used to test and demonstrate the overall performances of such systems. New control policies that include: (i) an assist mode, where the ...

With the advanced capabilities planned by the TALOS program comes the risk of the operator becoming overwhelmed by the information available and the operation of the suit itself. To effectively employ the suit in the field, TALOS requires an effective situational awareness display and an intuitive, low-impact way of interacting with the suits physical/sensor systems. SoarTech proposes to continue ...

The Sonalysts Team proposes to investigate, design, and develop a training system leveraging state-of-the art game and agent-based technologies with"TRILOGY,"a Modeling, Simulation, and Training (MST) system capable of three core capabilities: training, rehearsal, and analysis/CONOPS development. Sonalysts will leverage their latest commercial-off-the-shelf (COTS) game engine, Simulation Engine I ...