Award Data

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: 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: Barron Associates Inc. proposes development of a Game-based AutonoMy-Enabled Response (GAMER) system for spacecraft protection. The effort extends leading-edge research in dynamic games to enable autonomous defensive response to space threats. GAMER introduces a hierarchical approach that enables multiple satellites to work together towards a common protection strategy in an evolving en ...

ABSTRACT: The overall program objective is to utilize the best available technologies to successfully develop the concept and design of a state of the art C-Band telemetry transmitter that meets or exceeds the performance qualification parameters and size constraints detailed in the AF12-BT07 solicitation. Specifically, the objective of the entire two-phase program is to develop, test, and deliv ...

ABSTRACT: Intelligent Automation, Inc. (IAI) proposes to apply a game theoretic approach to design a robust decision making tool for self defense space systems that integrates realistic system models, distributed sensor management, advanced estimation, and tracking techniques. Our approach uses innovative game models to track space objects, analyze their orbits, and provide decision tools for the ...

ABSTRACT: Space defense analysis and mission trade studies are vital for the success of space-borne military operation. In this proposal, Intelligent Fusion Technology, Inc (IFT) and its partners propose a decision support tool called stochastic adaptive nonlinear differential game tool (SANDGT) for persistent and risk-advert space situation awareness. The main idea of our approach is to design a ...

ABSTRACT: It is well known that wind turbine clutter (WTC) presents a significant challenge to detecting targets in civilian and military applications. The large radar cross section (RCS) of wind turbines, combined with their significant range of Doppler spread, make traditional clutter mitigation techniques effectively useless. The objective of this Phase I effort is to develop a physically con ...

In the Phase I portion of this STTR, Securboration and renowned multicore expert Dr. Frank Mueller from North Carolina State University designed, developed, and benchmarked the proof-of-concept Pico-kernel Adaptive and Scalable Operating-system (PICASO) for many-core architectures. The Securboration Team took a scientific, experimentation-based approach to identifying and resolving shortcomings wi ...

ABSTRACT: This Phase-I research effort is designed to forward the engineering investigation of the dynamics and control of turbulent combustion in high-pressure combustion systems by developing a set of game-changing nonlinear analysis tools that can significantly improve the post-processing speed and intelligent data mining of large numerical or experimental data sets. Moreover, a system based o ...

Multi-processor computing systems are growing in capacity and usage. They encompass multiple, distributed implementations as well as heterogeneous, embedded computing architectures. The processing density enabled by such approaches holds promise for unmanned combat air vehicles (UCAVs) with their plethora of mission sensors and command and control processing requirements. However, the software ...