Award Data

Evidence-based guidelines derived from the learning sciences literature can be applied to training-requirements decisions. However, accessing the state-of-the-art in the learning sciences and applying its lessons to specific training design and analysis questions can be difficult, especially for those not already familiar with the learning sciences. ARCHIMEDES, the software tool proposed in this e ...

We propose to adapt and automate the processes and technologies associated with evidence-based decision support to the Navy—providing a tool that can synthesize current cognitive and learning science knowledge and inform decisions so as to maximize the value gained for each training expenditure. We will develop a plug-play architecture that will allow us to make the best use of emerging technolo ...

Current decision tools often omit important situational context. Unfortunately, this can lead to dangerous and costly errors, as context drives decision making. For example, in operational navigation planning tasks, decisions must be made that rely on multiple information sources of different fidelities and uncertainties. Furthermore, after obtaining additional information the necessity for replan ...

Crew resource management training systems are often constrained by the high cost and lack of flexibility in coordinating a large group of human role players for part-task training. Motivated by the recent maturation of the speech synthesis and recognition technologies, speech-enabled crew role-player agents are being introduced to address these limitations. However, difficulties remain in customiz ...

Toyon Research Corporation, together with the University of California, Santa Barbara (UCSB) propose to demonstrate a GPS-denied Local Carrier-based Precision Approach and Landing System (LC-PALS) that enables 3-D position, navigation and time (PNT) for platforms within range of an aircraft carrier equipped with one or more ADEPT-compliant beacons. Unlike the Global Positioning System (GPS), which ...

Empirical-based mathematical framework and computer algorithms, for representing human perception and cognition processes and limitations, which influence the recognition of salient information about rapidly changing events.

Air-Borne Sense and Avoid (ABSAA) cooperative sensors like TCAS and ADS-B are non-developmental off-the-shelf items and as such their employment should be optimized to maximize their effect on levels of safety. The radar subsystem is a new construct whose role and employment has not been previously defined. In addition, the cost of the radar development and production costs are high and dependent ...

The Navy seeks to develop new, innovative motor/generator technologies that can effectively operate at speeds up to 1,000 kRPM at power densities of 40 kW/kg (excluding heat exchanger) with an overall system efficiency of 95% or better. Such a motor/generator will have a wide range of applications, i.e. it can be used as the core building block of a very lightweight electrical energy storage syste ...

The Alpha STAR Corporation and the University of Akron STTR Phase II proposal will establish ASTM standards test methods to determine relevant ceramics matrix composites (CMC) delamination crack growth resistance (CGR) material properties (Mode I & Mode II)under service load temperature conditions. Phase Ii will expand on Phase I results, conclusions & recommendations. Emphasis will be on testing ...

In this Phase II Small Business Innovation Research project we will be developing extremely efficient (40G), and compact modulators suitable for microwave analog links, next generation radar and other military applications. III-V semiconductor nanowires a