Award Data

Liquid Crystal Arrayed Microcavities (LCAM) are a new hyperspectral technology initiated by collaboration among Spectral Molecular Imaging, Advanced Microcavity Sensors and Montana State University Spectrum Laboratory.At the core of this revolutionary technology lie picoliter volume optical cavities that exploit liquid crystal birefringence for tuning an effective cavity length.During a Phase I on ...

Our Phase I work focused on improving modeling and simulations so that the impact of autonomous systems in the battlespace could be better understood. As we have trained our attention on Phase II, it has become increasingly clear that the work we are doing to improve the modeling and simulation of autonomous systems also provides significant leverage for the development of the intelligent behavior ...

Automatic speech recognition (ASR) technology is in wide use today and has been successfully integrated into a number of applications. Although there are also many potential applications for automatic speaker identification (SID), SID accuracy rates are generally not sufficient for widespread use in practical applications. For high accuracy ASR and SID, the microphone must be located near the talk ...

Enig Associates, Inc., a small business providing advanced modeling and simulation capabilities to the DoD and DoE, is proposing an innovative and novel electrical approach, using explosive-driven flux compression generators to Joule heat light metal load in sub millisecond time scale from a solid metal state to a first ionization plasma state going through multi-phase transitions to generate an a ...

Unmanned aircraft systems (UAS) are increasingly seen as a cornerstone in developing the future Defense infrastructure and it is critical that they collaborate efficiently and execute complex missions in denied environments. Although great progress has been made in GPS-denied navigation, the target handoff problem in GPS-denied environments has not been extensively studied. In this problem, a trac ...

Toyon Research Corp. and the Penn State Univ. propose research and development of innovative algorithms for classifying objects and activities observed in high-dimensional data extracted from multi-sensor motion imagery. The proposed algorithms include novel feature clustering techniques to enable effective characterization of intra-class and inter-class appearance variations in datasets containin ...

Automatic target recognition (ATR)the identification of a potential target based on signatures in sensor datais fundamentally a question of information content. While ATR has been studied for decades, it remains a challenge because multifarious tar...

The Air Support Operations Center (ASOC) is a complex sociotechnical system that requires teams to coordinate to effectively manage both routine and crisis events. Maintaining readiness within this environment is challenging due to the variety of tasks a...

ExoAnalytic Solutions, teamed with Texas A&M University, will develop Highly-mobile Autonomous Rapidly Relocatable Integrated Electro-optical Resources (HARRIER) with the goal being to design and demonstrate tracking of resident space objects (RSOs) in n...

Future gas turbine propulsion designs, in addition to incorporating variable geometrical engine features, will require controlling and integrating large power generation/extraction, as well as, managing thermal limits of the components. The engine contro...