Award Data

In the proposed STTR study, Catto Propellers, Inc. (Catto) and the University of North Dakota (UND) will create an efficient new propeller design utilizing advanced composite materials for use on small unmanned x systems.  During Phase I, a comprehensive study will be conducted to develop a new propeller design in order to increase propeller efficiency, reduce aerodynamic noise and utilize innova ...

Areté and the Machine Learning for Artificial Intelligence (MLAI) Lab at the University of Arizona (UofA) will develop and demonstrate new approaches that improve the performance of in situ machine learning (ML) algorithms as they evolve over time, adapt to new environments, and are capable of transferring their learned experiences across platforms.  Technological advances that will be brought t ...

Condition-based maintenance plus (CBM+), and cyber-physical systems (CPS) in general, depend on correct sensor data for analysis, decision making and control loops. If the sensor data that arrives at the point of processing is not correct, or more accurate, is outside its accepted error range, then any further processing will be incorrect as well. This could result in, in the case of CBM+, not det ...

EMI resilient RF Photonic Links are critical for connecting remote antennas in the next generation Navy electronics warfare (EW) architecture. Current commercially available RF/photonic link technologies have deficiencies in dynamic range, noise figure, and SWaP performance. For a solution, this STTR project aims to develop a novel wide dynamic range, low noise RF photonic link, where the key comp ...

In this program, Freedom Photonics and its research partner institution will demonstrate an analog optical link using novel record performance laser, modulator and photodiode technology. Preliminary designs for a miniature, deployable implementation will be conducted as well in Phase I.

High power generation at millimeter wave (mm-wave) frequencies is expensive and the concurrent need for wide bandwidths at these frequencies creates an extremely challenging problem. Currently the most stringent requirements for mm-wave power and bandwidth can only be practically met by vacuum electronics (VE) technology. At present, vacuum amplifiers with the required performance are prohibitivel ...

Areté and the Machine Learning for Artificial Intelligence (MLAI) Lab at the University of Arizona (UofA) will develop an interactive scenario building tool capable of generating realistic synthetic 360° videos in real-time for use in training simulators for periscope operators .  We refer to this solution as RealSynth360.  This novel capability will be created by combining the latest advances ...

The Navy desires a compact and highly efficient S-band magnetron source with stabilized output capable of modulation over a narrow bandwidth. In this Phase I STTR proposal, Physical Sciences Inc (PSI) outlines the development of an injection locked “cooker” magnetron which can be used for frequency shift keying (FSK) or phase shift keying (PSK) in a portable high power transmission device. In ...

Whereas quantum computers stand to drastically transform computation for a number of existing and future problems, its realization in the near term produces certain challenges.  Simulation and Emulation techniques make it possible to consider the advantages of quantum computation in real-world applications in cryptography, machine learning, signal processing, and cybersecurity.  They also open t ...

Social networks engender implicit trust of knowing the person behind the information, so when posts are presented in our social media timelines, they have the potential to persuade us and change our opinions. For other users, such as intelligence analysts, while information shared on social networks is unlikely to take the place of vetted intelligence, the presence of bots can make it difficult to ...