Award Data

In Phase I we developed a machine learning method for predicting match score errors in iris imagery to determine the quality of the image. We now propose to develop a flexible and configurable tool for creating, refining, and applying such a match score predictor to any image quality assessment problem where a training signal can be identified. The tool will enable users to supply ground truth for ...

To address the DHS need for intelligent symbology technologies, Physical Optics Corporation (POC) proposes to continue the development of Web-based Intelligent Symbology Extraction based on Context (WISEC), a unique enterprise symbology system that integrates state-of-the-art natural language processing (NLP) tools with our syntactic event attribute extraction and contextual event coreference algo ...

Our Phase I effort demonstrated that a small air/steam propulsion system could provide immediate power without a boiler, and that power could be varied by varying the ration of water and air in the propellant mix. In this proposed Phase II effort this same system will be scaled to a larger bench version for analysis of performance and efficiency. Following analysis of that data, the system will ...

The goal of this research is to study the feasibility that mobile devices have the capabilities and accuracy to be used as positioning devices for connected vehicles programs. We will demonstrate this proposition by implementing positioning capturing apps using the build in GPS and accelerometers, and then enhancing it with Dead Reckoning and triangulated algorithms. We will show the capabilities ...

Research finding during Phase I of this project have led the research team to conclude that it is feasible to use 60-Hz samples from single loop detectors in order to perform re-identification between loop detector stations on freeways. The method employed was robust to loop calibration errors, easily corrects for metadata concerning the exact location of the loops and demonstrated that it was po ...

Individual differences in vulnerability to sleep loss and fatigue from extended work hours and night work are a substantial problem in transportation policy making, work schedule development, fatigue risk management strategies, and prediction of performance impairment in real-world operations (Van Dongen et al. 2003; Mollicone et al. 2010). Our group was the first to document the considerable magn ...

The primary technical objective to be achieved during Phase II is the transition from the developed laboratory prototype, which clearly demonstrated the feasibility and superior outcomes of the approach, to a deployable system consisting of two key elements (the reference station - compression side and the rover - expansion side) and packaging them into a form suitable for commercial sales to earl ...

Alameda Applied Sciences Corp proposes to develop a fast pulse, portable, fast neutron source to detect SNM in the field. Our source offers a less than 100ns neutron pulse with a repetition rate up to 100Hz. The goal is to develop a source with 1000hrs of continuous operation at greater than 1E8 n/s. The Phase II program will develop and validate a prototype for SNM detection. The commercial goal ...

A pulsed neutron generator is proposed for the detection of special nuclear material. A recently developed microwave-excited plasma neutron generator will be pulsed to produce the activating neutrons whose pulse lengths vary from 100 microseconds to 2 ms with a fall time of less than 1 microseconds. We demonstrated that we can increase the peak yield as a function of either RF or microwave power, ...

We propose to build an Intensity-Modulated Advanced X-ray Source (IMAXS) for cargo inspection systems that allows such systems to achieve 1 to 2 inches greater penetration for dense cargo (steel or equivalent) while, on average, producing the same amount, or less, radiation. Alternatively, cargo inspection systems using the new design may opt to have the same penetration as with conventional sourc ...