Award Data

Coating materials and coating methods used to protect U.S. military aircraft and weapon systems from corrosion and wear are in need of environmentally benign alternatives in order to keep up with dynamic regulations associated with environment, safety, and occupational health. Thus, the Air Force is supporting research to develop alternatives to the dangerous materials identified on the OSD Emergi ...

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 ...

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 ...

ABSTRACT: The objective of this proposal is to demonstrate the feasibility of a flexible, low-cost, integrated and sensitive broad spectrum optical property characterization system. We propose a hyperspectral imager designed for operation in the 300nm 2000nm spectral region with state-of-the-art spectral and spatial resolution through the use of a high density array of high finesse (F = 1000) tuna ...

ABSTRACT: The proposed VPHS (Vision Processor for Helmet Systems) is an advanced technology image processing engine that is designed to provide the image processing requirements of helmet mounted imagery systems. The VPHS will input high resolution image data from imaging sensors, process that data to yield enhanced visualization and output the imagery to operator displays. The VPHS will employ im ...

ABSTRACT: Remarkable advances in artificial intelligence (AI) and human-systems integration are providing aircrew with cockpit automation systems of unprecedented sophistication. Onboard intelligent assistants monitor the aircraft, interpret and carry out pilot commands, and advise the pilot (onboard or remote) as to aircraft and system status, mission progress, threats and alerts. Because pilots ...

ABSTRACT: This Phase I STTR project aims to develop a silicon friendly carbon nanotube field effect transistor platform technology with reduced contact resistance and wafer-scale aligned carbon nanotubes towards development of an L-band amplifier. Key innovation nuggets that will be developed include: 1) a wafer scalable process to deposit dense aligned arrays of high purity semiconducting and len ...