Award Data

Our biosensor is made of silicon nanowire arrays functionalized with antibodies to measure the concentration of specific proteins. In this grant we will take a sensor that has been demonstrated for use in measuring a set of generic host cell proteins and we will apply the sensor to measure a set of proteins for a specific cell line. In doing so, we will demonstrate the utility of our sensor to be ...

Phase I has proven that the current setup achieves better than 8mm spatial resolution for 2.2MeV prompt gammas. However, 1mm spatial resolution presents a significant challenge for the current setup due in part to limited timing resolution and count rate. A new analog ASIC will be developed to replace the current analog ASIC that will have better timing resolution and deliver higher count rates. I ...

Poor air quality represents a major public health risk, contributing to an estimated one of every eight deaths worldwide. Low-cost air quality sensors have developed rapidly over the last few years and offer the opportunity to make air quality monitoring widespread at an affordable price. However, low-cost sensors are currently unable to deliver accurate, reliable data due to a lack of understandi ...

Triton Systems, Inc. proposes development of the Open-Source Oceanographic Asset Recovery Beacon (OpenORB) that will allow the deployment of coastal instrumentation moorings with affordable protection against loss. This open-source kit would significantly reduce the purchase price of a commercial location beacon by allowing the end-user to assemble a customized system with minimal time and effort. ...

In Phase I, we developed a prototype instrument for counting, sizing and identifying both non-toxic and toxic Harmful Algal Bloom (HAB) species. We did this by integrating three innovative technologies: High-throughput color, Light Field Imaging Flow Cytometry to acquire morphological information for each cell, Raman spectroscopy to acquire species-specific molecular information on pigments and tr ...

It is not likely that an autonomous system can be programmed with all the information it requires to perform every mission or every variation of every contingency within the near future. One way to address this issue is to provide user-friendly means to teach or program a robot to add to its autonomous capability. This proposal focuses on the physical aspects of the robot performance, manipulat ...

Big data challenges across Department of Defense (DOD) domains are increasingly problematic for tactical level decision making. Data collections in the open source and military channels are growing at such a staggering rate that it exceeds our ability to store and manage, perform computation and analysis, and maintain data security [1, 2]. Indeed, one author refers to the inability to handle big ...

The proposed effort will result in an "universal" fan noise cancellation system for use with high performance fans used extensively in defense applications including auxiliary power unit (APU) applications. Fans are a critical noise source that impact the audible detection range of the platform. The importance of the fan noise for detection continues to increase as other technology improvements ...

Recent advancements in sensor simulation tools [2] have improved our ability to model radar, lidar, camera, and GPS with software/hardware in the loop. Of course, our ability to model the physics of heavy trucks [3] is quite mature as well. To address the challenge of developing the STE, we will provide our autonomy algorithms as Government Furnished Equipment (GFE). The focus of this topic ...

This topic addresses the problem of robustly commanding and controlling unmanned ground vehicles operating in complex, unstructured environments. Current approaches to this task rely on dense scene reconstruction from a variety of sensor data such as LIDAR and video imagery. Scene representations are then relayed to a remote human operator who provides commands at varying levels of supervisory con ...