Award Data

ABSTRACT: Intelligent Automation Inc. proposes to design a robust decision making and dynamic spectrum access (DSA) system for satellite communications under uncertainty. Our system integrates various types of uncertainty caused by environment, regulation, uncontrollable user effects, and prediction. We will first develop methods to quantify the uncertainty by either individual observation or col ...

ABSTRACT: Coordinating and sharing information across multi-level security (MLS) networks are of great interest in many military applications. However, it is very challenging to accomplish those goals due to the heterogeneous security classifications of different network domains. The recent proposed cross-domain solutions (CDS) provide initial steps to make such applications possible. However, th ...

ABSTRACT: Advances in large scale visual sensors enable (near) real time acquisition of imagery data over wide urban surveillance areas. Data collected by such sensors, such as the wide area motion imagery (WAMI) systems, however poses computational challenges to existing visual analysis algorithms. Among many tasks, tracking multiple moving target indicators (MTI) is of fundamental importance si ...

ABSTRACT: Intelligence analysts need to process large amounts of text information to form an understanding of a topic of interest. The sheer amount of information can be overwhelming, so automated text analytics that assist with filtering, information extraction, and document understanding, can be highly beneficial. Deep natural language processing (NLP) applications require both structural knowl ...

ABSTRACT: Information is a national asset that must be protected. To make effective use of this asset, information sharing is critical between government agencies, with foreign government partners, and with the private sector. At the same time, in practice, balancing information sharing and information protection can be difficult. Tools are needed to address many challenges, including managing ...

ABSTRACT: We propose a comprehensive Risk Assessment of Disclosure via Automated Reasoning (RADAR) system. This system will leverage and advance various theoretical models in statistical inference (e.g., probe selection and posterior estimation) and information theory (e.g., entropy approach) to obtain a set of analytical tools for information disclosure analysis. These tools are integrated into ...

ABSTRACT: Close integration of photonic devices with silicon complementary metal-oxide semiconductor (CMOS) electronics can yield significant performance improvements in many applications. The recent development of novel integrated structures in silicon including waveguides, resonators, and photodetectors will enable dramatic reductions in size, weight, and power for components implementing compl ...

ABSTRACT: Global Engineering and Materials, Inc. (GEM) along with its team member Columbia University propose to develop a simulation tool for modeling mixing process of multi-particle composite systems and generating the ultimate microstructure. A combined theoretical, numerical, and experimental approach will be developed to create a high fidelity software product with a reduced order modeling ...

ABSTRACT: The overall technical objective of this Phase II effort is to develop computational tools for computing response sensitivities of parametric multi-disciplinary air vehicle systems that exhibit nonlinear dynamic behavior for use in gradient-based optimization, smart sampling, uncertainty quantification, and risk assessment. To this end, the ZONA/MIT team will extend the 2-D ZEUS time-dom ...

ABSTRACT: Physical Sciences Inc. (PSI) and the University of Tennessee Space Institute (UTSI) will develop an innovative system to measure and control the cryodeposit layer thickness that develops on cold (~20 K) surfaces in cryogenic radiometric calibration chambers. Currently removing the cryo-layer involves a lengthy process that warms the entire cryo-system to desorb the cryo-layer that incr ...