Award Data

An investigation of a broadband analog optical modulator linearization scheme is proposed. The scheme is based on the combination of multiple semiconductor modulator devices, driven from a common electrical input. The linearization is accomplished in the optical domain, making the approach suitable for wideband microwave applications that have frustrated previous attempts at electrical pre-distort ...

The video surveillance industry is experiencing dramatic change with the move from analog to digital video. Command centers need to have coordinated viewing of multiple camera feeds at one time, and the ability to switch automatically between feeds and display relevant patterns. Conventional security control rooms include a bank of monitors connected through a switch to an array of security camera ...

This proposal is to develop a new system for Adaptive Visualization of Social Networks (ADVIS). Numerous social network visualization systems have been produced in recent years. But even in the few top systems cognitive science and design principles have been applied in an ad hoc and non-systemic manner. Accordingly, each visualization system is a one-of, which may be fine-tuned to a particular ...

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.

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 ...

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 ...

It has long been known that analog computers can be faster and more power efficient than digital processors by many orders of magnitude. Until the 1970s analog computers were the dominant controllers in most industrial and military applications. Even today digital processors are still slower and more power consumptive than analog, but offer much more flexibility (programmability) and precision. ...

HJ Science & Technology (HJS & T) and the Joint BioEnergy Institute (JBEI) propose to develop an automated, software-controlled, programmable, low-cost, and compact platform capable of running rapid and complex bioengineering processes and optimization of new biomanufacturing systems. Our approach combines the microfluidic automation technology of HJS & T with the novel synthetic biology technolo ...

A military without good leadership is a mob. Identification, preparation, guidance and mentoring of potential leaders are critical functions across all services. Leadership training and support can be substantially improved by refinement of theories and models on what constitutes good leadership, and what enables individual to be effective leaders. DoD needs better models of how leaders learn, ...

This proposal is on the demonstration of a portable, thermally self-sustaining, Solid Oxide Fuel Cell (SOFC)-based power module, delivering 25 W at ~70% efficiency, continuous power operating on liquid hydrocarbon fuels, with energy density > 1300 Wh/liter(>2000 Wh/kg. for a 72hr. operation), including fuel canister. SOFC stack, operating at 550oC, is based on novel, anode-supported fuel cells wit ...