Award Data

Physical Sciences Inc. in collaboration with Colorado State University proposes to develop a compact infrared flash 3D imaging sensor employing compressive sensing (CS) approaches. The CS 3D sensor offers a combination of high range resolution (10 cm), high point cloud density (6464 format), and fast 3D image frame rates (10 Hz) in a low cost, compact form factor employing commercial off the shelf ...

There is an unmet demand for ultra-low-power, ultra-compact and low-cost radios to address emerging sensing and communication needs for military and commercial applications such as IoT/IoE. To overcome the limitations in existing bulky and power hungry radios, we propose a disruptive solution by integration of a nano-scaled THz transceiver, on-chip antenna, and energy harvesting circuits in a form ...

In response to the Army STTR Topic A14A-T015 solicitation for tunable high-power LWIR lasers for standoff detection applications, Pranalytica proposed to develop a compact, rugged and highly reliable wavelength tunable quantum cascade laser (QCL) module delivering over 5W of peak power and over 0.5W of average power in the spectral region spanning from 7 to 11m. The proposed approach is based on a ...

This STTR project will develop a wearable sensor suite for accurate assessment of circadian and sleep rhythms with the goal to identify abnormalities in PTSD patients and enable personalized therapy to help restore their normal functional and quality of life. Phase I has already demonstrated proof-of-principle hardware. The primary Phase II objective is to successfully carry out a human subjects s ...

Scanning probe microscopy (SPM) is a technique used to detect near-field interaction when a sample is rater-scanned by a probe. Example include atomic force microscope (AFM) and scanning tunneling microscope (STM). It offers nanometric and atomic image resolution. In this field, an emerging technique, Near-Field Scanning Microwave Microscopy (SMM), utilizes microwave evanescent waves to attain the ...

Novel photonic structures, such as periodic metal-dielectric photonic bandgap structures (MDPBG) have the potential to revolutionize the field of optical windows. The large mismatch in the permittivities of the metal and dielectric creates resonant tunneling, which allows for high transmission in regions where metals are typically opaque. This property makes MDPBGs very attractive for screening or ...

Over the last decade the amount of data available from the internet, sensors and other sources has grown dramatically providing the opportunity to gain novel insights in many fields. Uncovering non-linear low dimensional structure in high-dimensional data (i.e., manifold learning), a key to summarization, remains a challenging problem which ultimately inhibits knowledge discovery. Intelligent Auto ...

For Robotic/Autonomous Systems (RAS) to be truly effective in the battlefield, they need to be integrated with intelligent decision-making capabilities. In particular, the following capabilities will help them dealing with the challenging real-world problems of off-road navigation: 1) Accurate terrain traversability assessment; 2) Optimal trajectory computation; and 3) Effective maneuver selection ...

Our nation’s warfighters require advanced armor to give them the best protection while allowing mobility to perform their missions. This proposal will develop two powerful tools to aid future body armor advancements. First, this research program will develop a statistical analysis software that will predict likelihood of impacts based on defined attack scenarios (i.e. rifle, distance and firing ...

The ability to accurately design and predict the performance of combustion-based machinery like gas turbine engines is important in improving their performance, increasing their fuel economy, lowering operating costs, and decreasing pollutant emissions. Almost all of the flows are turbulent in industrial combustion applications, therefore understanding the interaction between turbulence and combu ...