Award Data

This project aims to achieve trustworthy deep learning (TDL)-based distributed computation among wireless connected Naval devices (sensors, UAVs, mobile phones, ships, etc.) through the seamless integration of cryptography, a complimentary classifier, and communications (C4). Distributed Deep Learning (DDL) runs in a distributed Naval network setting and is vulnerable to attacks that have knowledg ...

KooApps previously developed Pictoword, an application that uses visual, puzzle, and game-based mechanics for players to build fun vocabulary words by combining pictures. In this Phase I project, the team will develop a new prototype intended to personalize the learning experience for individual students who are English learners (ELs) to build their English vocabulary. The prototype will include a ...

The researchers will further develop their existing vCoder, an immersive virtual reality (VR) game for students to learn to code. This project will develop an artificial intelligence component to customize pathways to optimize how individual students learn to code. At the end of Phase I, in a pilot study with a middle school class, the researchers will examine whether the prototype functions as pl ...

Triverus has developed and transitioned FOD solutions for the Navy shipboard F-35/Harrier programs. The MCRRS technology represents the current state of the art relating to flat surface cleaning with enhanced performance for removing very small to relatively large particles that contribute to Storm Water Pollution (SWPP) and FOD risk. Operationally the MCRRS platform has also been developed to exc ...

Cognitive sensors are conventional sensing hardware augmented by machine learning (ML). They are threats in the hands of our adversaries because they enable rapid, sensitive and extremely accurate signal classification and agile, customized, and potent responses. Current public demonstrations boast real-time, broadband radio frequency (RF) waveform classification with >99% accuracy at -15 dB SNR u ...

The US Navy and to a larger extent the Department of Defense has multiple needs for compact, rugged, efficient, reliable, long life, and high performance pulsed power systems for Directed Energy applications such as High Energy Lasers (HEL) and High Power Microwave (HMP) sources. The objective of this proposed effort is to significantly reduce the size and weight, and improve the efficiency of pul ...

Sand particles ingested into aeroengines can impinge on components made of ceramic-matrix composites (CMCs) and cause structural damage including long-term erosion. Experimental analysis of erosion typically focuses on the damage footprint and mass loss and is limited in the range of operating parameters that can be examined. Hence, high-fidelity modeling of the erosion process is essential to der ...

Due to the United States’ near-peer competitors’ recent and rapid development of precise targeting capabilities within the littoral environments, the Navy and Marine Corps must develop new ways to disrupt enemy activities and succeed at shooting, moving and communicating through this battlespace, as applied to personnel and equipment. The Commandant has identified that the Marine Corps must im ...

The IS4S-MTMGX team proposes the investigation, adaptation, and leveraging of various components of previously designed HPM/DEW weapons to produce an extremely high-power and frequency tunable “extreme jammer” that meets the volume constraints of typical under wing weapons pods and bridges the gap between traditional EW and lower power jamming.

Military pilot and aircrew acute and chronic neck pain is a distracting and potentially debilitating problem that diminishes mission performance and quality of life during and after service. The problem has multiple contributing pain evocation factors that can be computationally modelled. This project will develop a computational modelling framework to predict acute exertional pain, repetitive str ...