Award Data

Multi-modal (including spatial, spectral and polarimetric) photodetectors and focal plane arrays (FPA) can dramatically enhance the target detection, tracking and identification capability of a battle field sensing system. Most existing multi-spectral polarimetric sensing systems employ dispersive optics (gratings or prisms), or external polarizer technologies to obtain spectral and polarimetric c ...

The human auditory system out-performs all current machine-based systems for analyzing and interpreting real world acoustic environments. Central to that human performance is the method of auditory scene analysis used by listeners and the mechanisms that allow creation of auditory objects. BioMimetic Systems has implemented real-time biomimetic algorithms in embedded hardware based on the ‘whatâ ...

This Small Business Technology Transfer research project addresses the perception and learning of complex sound patterns within complex auditory scenes. The objective is to model auditory signal processing, pattern recognition and learning in the human auditory system. Our novel approach simulates the nonlinear signal processing that has been observed in auditory physiology. By mimicking functiona ...

Increased computational speed and improved numerical algorithms have made computational chemistry an important tool in the development of new chemical compounds and processes. In particular, single-reference coupled cluster (CC) methods, such as CCSD(T), provide an excellent compromise between speed and accuracy in applications involving molecules near their equilibrium geometries, capturing most ...

Limited computational resources remain a serious obstacle to the application of quantum chemistry in problems of widespread importance, such as the design of new catalysts for use in fuel cells, or for modeling of material and optical properties of liquids and solids. Researchers have a considerable impetus to relieve this bottleneck, both by developing new and more effective algorithms and explor ...

The goal of the proposed research is to develop advanced computational tool for high-fidelity simulations of hypersonic non-equilibrium plasmas. Octree adaptive Cartesian mesh will be used for automatic mesh generation and dynamic mesh adaptation to plasma properties, particularly important for hypersonic flows with strong shock waves, transient laminar and turbulent domains with large gradients o ...

Accurate and timely surveillance of objects in the near-Earth space environment is becoming increasingly critical to US national security. One of the main difficulties in this domain is efficiently and accurately modeling trajectories of the vast number of objects in orbit around the Earth. The orbital trajectory of a single object is typically modeled as a second-order system of equations which ...

Space surveillance is the component of space situational awareness focused on the detection of resident space objects (RSOs) and the use of multisource data to track and identify space objects. While the propagation of the states of RSOs has been investigated extensively over the last fifty years, the correct propagation of their covariance or the more general (non-Gaussian) probability distribut ...

A mathematical framework for detection and classification of weak, distributed patterns on computer networks is proposed. The framework will provide rigorous methods for understanding performance bounds and optimality of intrusion detection methods, while also providing concrete and implementable algorithms. The algorithms will find immediate application in cyber-security efforts, as well as mor ...

The overall objective of this program is to develop an effective means for integrating enzymes onto an electrode in order to improve electron transfer and enzyme loading and stability. The approach is based on conformably coating a layer of functional polymer onto an arrayed multi-walled carbon nanotube (MWCNT) electrode. The immobilized enzymes will be further covalently encapsulated by a hydro ...