Award Data

We propose to design, fabricate and test turbine blade configurations in a flow driven by a continuous detonation wave engine with a goal of understanding the physics and efficiency of such an integrated device. Analysis based on CFD models and cycle perf

This effort will analyze publicly available online communication data, uniquely applying empirical results from the cognitive bias literature, to quantify the impact of cognitive biases on exposure to, use of, and propagation of online information. SoarTech, with its partners, will develop and evaluate methods to identify and measure cognitive biases in online information environments. The team wi ...

We propose to investigate, in collaboration with MGH Voice Center and Altec, Inc., application of surface electromyography (sEMG) to assessing cognitive workload, strain, and overload. Specifically, sEMG sensors placed on the face and neck will detect emotional/motor responses to workload strain. The proposed effort will build on the substantial sEMG experience of our partner, MGH (including resea ...

We propose to construct a parametric amplifier and oscillator system for generating and detecting gravitational microwaves using a moving, impermeable superconducting membrane as its active element. A configuration of three adjacent, high-Q SRF cylindrical cavities will be constructed, consisting of a single pump cavity separated from a double signal and idler cavity by means of this membrane, ...

This proposal is to extend into Phase II our development of a new system for Adaptive Visualization of Social Networks (ADVIS). Recent years have seen a dramatic increase in the collection and study of social network data. Numerous social network visualizations have been developed to support user exploration and understanding of these data. However even in the few best systems, cognitive and de ...

CONCUR develops a computational framework for assessing and characterizing urban environments stability or fragility in response to volatility and stress, identifying specific weaknesses as well as key tipping points which could lead to rapid systemic failure. CONCUR explicitly models urban environments as emergent complex systems, focusing attention on the critical triggers that could lead to rap ...

Methods for interconversion between cell types (cellular reprogramming) are currently discovered through resource intensive trial and error. Experiments may test a multitude of transcription factors to identify correct combinations that influence cell fate. In addition, reprogramming approaches commonly use stem cell intermediates such as induced pluripotent stem cells (iPSCs), which are generated ...

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 ...

We propose to build a framework around an operator formulation to enable rapid development of massively parallel solutions to large graph problems. Graph algorithms are expressed by a small number of operators that are applied to components of the graph.