Award Data

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 ...

Automatic Speech Recognition (ASR) allows trainees to practice verbal communication skills in representative training environments without the need for human role players. However, these technologies have yet to become a feature of most training systems. Building on Phase I work, SoarTech along with our academic partners at UC Davis, proposes developing Soliloquy, a novel interface that allows non ...

OKSI and Northwestern University propose to develop a single-image super-resolution (SR) methodology for mid-wave infrared (MWIR) imagery that combines learning-based and regularization-based approaches to produce extreme enhancement of low-resolution images. We will also develop a detector-limited imaging system specifically designed to be used with the SR methodology for which even higher levels ...

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 ...

Thousands of years of evolution have produced the human vision system that computers cannot replicate well. Humans are still unsurpassed in their ability to search for objects in visual scenes. To successfully detect objects in cluttered scenes, the human brain is thought to rely on multiple factors: prior probabilities of object occurrence, global scene statistics and object co-occurrence. Machin ...

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.

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 ...

The objective of the proposed Phase II STTR effort is to develop a validated computational tool to predict the afterburning of non-ideal munitions containing metal and hydrocarbon fuels. The activities outlined devise a well-coordinated collaboration among researchers from Reaction Engineering International (REI) and the State University of New York at Buffalo (UB). The activities proposed will bu ...

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 ...

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 ...