Award Data

ABSTRACT: The objective of this effort is to develop innovative methods for deriving a sparse set of physical target features that can be used for exploitation of air to ground signature data collected from sensor systems including electro-optical, infrared, and laser radar. Current classification methods require near exact replication of the original imaging parameters, or extensive modeling in ...

ABSTRACT: Existing machine learning algorithms have difficulty using all available data about a problem. This STTR will develop a new algorithm that can make full use of all available data, whether that data is labeled or not, and even when some data types or data resolutions are not available during operation. BENEFIT: This STTR will develop a novel machine learning algorithm for reasoning abo ...

ABSTRACT: Terahertz (THz) spectroscopies offer unmatched non-contact probing of low-energy excitations underlying electronic transport and magnetism in a wide range of novel materials. To-date, expensive and complex THz Time Domain Spectroscopy (THz-TDS) systems are the most common THz source used in these studies. Lower cost, continuous wave (CW-THz) spectroscopy systems can offer comparable per ...

ABSTRACT: Adversarial installations, such as those housing the means for nuclear weapons production, are increasingly being constructed in heavily fortified locations and often using ultra high performance concrete (UHPC) as the construction material. As such, the U.S. Air Force has considerable interest in further developments of ultra high performance concrete (UHPC) to maintain an advantage o ...

ABSTRACT: Feature extraction and target recognition suffer from a lack of a reliable model for both exploitable target features and the electromagnetic signature they possess. Signature data are often hard to interpret and invert to recover the target robustly. Bayesian learning approaches to statistical pattern recognition are based on the use of training sets of inputs and outputs, a data mode ...

ABSTRACT: Detection of clandestine tunnels and underground facilities is a continuing interest of the US DoD and Customs and Border Protection. Research continues in an attempt to find functional and reliable sensing methods, including seismic methods. Dynamic activity in tunnels emits mechanical energy that propagates away in seismic waves. Resulting ground vibrations can be measured at offset d ...

ABSTRACT: Experimental testing of dynamic models has been performed for more than 50 years and a wealth of data exists for individual models. However, this data is often either restricted as proprietary or is not suitable for CSE tool validation as a result of incomplete model or test information. Mainstream Engineering proposes to design, fabricate, and test a scaled fighter for aeroelastic ...

ABSTRACT: To address the Air Force need for an adaptive optics system using a fiber laser array as the spatial phase correction system within the subaperature of an array of discrete telescopes, Optonicus and The University of Dayton propose the development of a new Scalable Adaptive Fiber-Array Elements (SAFARE) system. The integration of new fiber-array architectures with novel imaging and ada ...

ABSTRACT: RNET and The Ohio State University propose to use algorithmic modifications and multi-level parallelization techniques and tools to improve the scalability of the aero-line/aero-elastic coupled CFD/CSD codes relevant to the DoD/AF (e.g., CREATE/Kestrel). The optimizations will address inter-node and intra-node parallelization to better target emerging compute architectures (e.g., multi ...

ABSTRACT: Current and projected limitations on the maximum power from a high power single mode fiber laser amplifier impose architectural limitations on a high power phased array laser weapon system. Prior studies strongly indicate that when faced with this limitation the optimal approach is (to borrow the term for Paul McManamon) a Phased Array of Phased Arrays (PAPA) geometry wherein large(r) ...