Award Data

In a nuclear battlefield, rapid, reliable, and accurate mapping of the radiation contamination is critical. The radiation mapping is required to perform threat assessment and, during route clearance, to find the safest path that minimizes radiation exposure to the warfighter. Current detection methods using handheld or vehicle-borne detectors are inefficient, labor-intensive, and often limited to ...

The blockchain technology offers a distributed security mechanism which is resilient to denial-of-service attacks. Thus, the blockchain constitutes a favorable solution to be utilized to protect mission-critical data during wartime. However, current blockchain systems are not designed to be resilient against large physical attacks such as nuclear or electromagnetic pulse. Also, current Blockchain ...

Intelligent Automation, Inc. (IAI) proposes the application of a powerful imaging technique, based on the multiphase level set framework, for retrieving shapes, locations and dielectric properties of unknown objects within the building walls. To our knowledge, no other technique can simultaneously retrieves the object shapes, locations and their dielectric properties using measurements collected a ...

This STTR Phase 1 project proposes development of a statistical relational learning framework for identification of the function of laboratory equipment from imagery. The proposed framework uses semantic reasoning to incorporate evidence from multiple classifiers and feature extractors, domain knowledge, and scene context for scene understanding and labeling. The Phase I effort will focus on imple ...

Current state-of-the-art object detection algorithms are almost exclusively based on Deep Convolutional Neural Network (DCNN). These algorithms all require a large amount of labeled examples for each of the object categories they can recognize. These algorithms will fail for novel objects that only very few or even no prior examples are available. These algorithms are also far less accurate when c ...

The nuclear weapons community has traditionally focused on the next generation or level of weapon capability complimented by gathering and analysis of actual test data. Now, with the cessation of actual weapons testing, there is an increased need to use the actual test data in modeling techniques to better understand the phenomenology and potential effects of nuclear weapons. The first phase of ...

Turbulence of gas flows by its very nature is one of the most difficult things to model and measure. We propose to develop a new way of measuring the turbulence and to compare these measurements to predictions using the k-epsilon model. Typical measurements, in the past, use smoke, Schlierin or shadow graph techniques to visually infer turbulence characteristics. These features are either motio ...

Toward understanding how turbulent mixing with air of detonation products of fuel-rich explosives results in further combustion of the detonation products and, therefore, enhanced lethality, we first consider an exothermic reaction of a premixed fuel/oxidizer in a closed vessel in the limit of zero Mach number and infinite Reynolds, Peclet, and Damkohler numbers. To help elucidate the main mechan ...

We propose, in Phase I and Phase II, to build an X-ray simulator capable of easy transportation between sites which can be built for a low cost (

Using distributed interactive simulation (DIS) to conduct effective training, analyses, or mission support in a tactical nuclear weapons effects (NWE) environment requires realistic computer generated forces (CGF) that are sensitive to such effects. This level of sensitivity requires CGF to apply valid and reliable speed-accuracy measures of environmental effects on human performance within the D ...