Award Data

On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

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 ...

The development of a multi-TeV e+e- linear collider is a key priority set by the P5 panel, which established the long-term strategy of the U.S. HEP program. A Two-Beam Acceleration (TBA) is one of the most promising approaches for this facility due to its potential for achieving high efficiency and the ability to accelerate particles with positive and negative charges. However, there are still cha ...

At 10.8% Compound annual growth rate(CAGR), Fire Protection Systems Market Size is expected to reach 9.34 Bn USD by 2025. This however reflects only the systems but does not include the services, consultancy and other operator expenses incurred by the industry sectors impacted. Modeling and implementing fire safety for nuclear power plants is an expensive and complex activity. It is difficult to c ...

Society at large and DOE in particular have an interest in the continued development and refinement of a smart grid infrastructure that more efficiently and reliably matches electrical resources to demands. While technological advances in recent years have improved the smart grid, these advances have been limited by a lack of granularity of data (e.g. environmental conditions at multiple locations ...

Technologies for terrestrial ecosystem management – in the area of precision agriculture and ecosystem restoration – have made significant advances recently for more sustainable practices by optimizing water, nutrients, and fertilizers Many of these technologies include monitoring and imaging of plants, soil, and crop harvest as well as their interactions, using in situ sensors, remote sensing ...

Most superconducting accelerator magnets are presently based on a conventional “cosine theta” design. Typically, the magnet length vastly exceeds the aperture, and the loss in effective length from the ends (about a coil diameter in typical dipoles) is relatively small. However, for relatively short magnets such as those envisioned for the Interaction Region (IR) of the Electron Ion Collider ( ...

The Department of Energy Office of Fusion Energy Sciences is seeking the development of wrap-able radiation-resistant electrical insulators for superconducting magnet coils used in fusion energy reactor systems. These insulators must: (1) exhibit low gas generation under irradiation, (2) have higher pot life, and (3) exhibit attributes of insulation systems with high bond and higher strength and f ...

One of grand challenges in nanoscience and nanotechnology is to achieve fundamental under- standing of the dynamic evolution of materials in actual operating environment, non-equilibrium conditions, or undergoing chemical reactions at the nanoscale. This requires forefront advances in imaging and analysis techniques that combine nanometer-scale spatial resolution, optical excitation and spectrosco ...

The Neutron Spin Echo (NSE) method has provided unique information about the dynamics of soft materials, including confirmation of the de Gennes model of polymer reptation, and quantitative measurement of the bending constants of various membranes. In almost all cases these measurements have been made at small neutron scattering angles, where structural correlations with length scales between 10 n ...