Award Data

ABSTRACT: The overall goal of the proposed effort is to develop and demonstrate a general-purpose, fast, and reliable management and learning software tool for analyzing massive data sets generated by dynamic multi-disciplinary simulation. In Phase I, key technology elements were developed and proof-of-principle was successfully demonstrated. Data management software encapsulating salient feature ...

ABSTRACT: The U.S. Air Force has a need to develop a new class of advanced, wide field of view (WFOV) imaging sensors that sample the radiation field in multiple modes: spectral, temporal, polarization, and detailed object shape. These multimodal sensors are to be deployed on high altitude drones to enhance their intelligence, surveillance, and reconnaissance (ISR) capabilities. Smaller versions o ...

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 ...

ABSTRACT: The goal of this project is to develop theoretical models for electrode erosion in high-pressure arcs and incorporate them into computational tools for simulations of arc heaters. The complexity of the electrode material removal process is associated with the multi-phase nature of the arc-electrode interactions, melting and vaporization of the electrodes near the arc foot. Available mod ...

A critical aspect of exoskeleton control that has to date introduced a performance limitation is the ability of the exoskeleton to recognize the intent of the operator so it can apply assistance to their desired motion. This intent recognition effort is typically solved using ad-hoc methods where subject matter experts make design decisions and tune transitions to identify intended maneuvers as re ...

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 ...

ABSTRACT: The Tai-Yang Research Company (TYRC) of Tallahassee, FL in collaboration with Dr. Justin Schwartz of the North Carolina State University (NCSU) in Raleigh, NC propose in this Phase 2 effort to develop the critical technologies necessary for the implementation and operation of an airborne high temperature superconductor (HTS) superconducting magnetic energy storage (SMES) device with par ...

ABSTRACT: Strong coupling in ionized plasmas occurs when inter-particle interactions result in correlation energies that are comparable to the mean kinetic energy of the thermal motion of individual particles. Strongly coupled plasmas are known to be present in a number of physical systems including ultra-cold plasmas created in the laboratory and present in the ionosphere, explosive gases associ ...

Increasing system capabilities in terms of weapon systems, ISR payloads, GNC, etc., enabled by smaller and more capable electronics systems have led to a trend for overall size reduction in military aircraft. This has resulted in a reduction in the avail...

ABSTRACT: LVI proposes developing an advanced framework of lifted probabilistic inference algorithms for enhancing the scaling and accuracy of text analytics. In Phase I, LVI explored the scalability of various lifted inference techniques for utilizing Markov Logic Networks (MLN) in the Tuffy software package. Phase I also included investigation and demonstration of DeepDive, a scalable, high-per ...