Award Data

krtkl (“critical”) will conduct a Phase I Feasibility Study to identify the best approach for reducing aviator cognitive load by optimizing information delivery and decision-making based on a thorough analysis of existing platforms, sensors, data sources, and onboard compute resources. This information will be used to identify Artificial Intelligence and Machine Learning based algorithms for p ...

Sensor systems aboard aircrafts address unique problems and are siloed in their objectives. A data silo is a term used to describe a data system that is insulated from other data systems. While keeping information categorized may lead to easier organization, the costs often outweigh the benefits. In aviation systems, data silos often lead to miscommunication, cognitive overload, and waste. These d ...

In manned aviation environments – both military and commercial – AI support is being developed and researched for ground-based planning and operational decision support. Using AI in real-time with crews poses additional questions and issues. This research will provide the means to understand the measures and requirements to architect potential AI-Agent solutions before implementation. This fea ...

Standard in vitro lab tests can help elucidate a patient’s health and diagnose several possible medical conditions to be monitored. Cost, patient and lab time, and patient discomfort, mean that these tests are done infrequently, and are limited to suspected morbidities. The invasive nature of most tests (requiring blood draws, urine samples, etc.) limits what is measured, and how often. In the ...

Post-traumatic stress disorder (PTSD) is a psychiatric disorder that can develop after experiencing distressing events such as combat, serious accidents and injuries, or threats. While 8 million adults are affected in the United States each year, the disorder is especially prevalent for military service members, with estimated rates as high as 20-30% for Iraq and Afghanistan veterans. To prevent s ...

The proposed project seeks to increase the reliability of cold spray additive manufacturing (AM). Cold spray technology has been developed into a large format (1 m x 1 m in x-y) commercial AM system (called WarpSPEE3D) by the Australian company SPEE3D. The Australian Army is currently testing the enclosed, modular AM system in the Australian “bush” as a field-ready AM system. Supply chain and ...

As the use of machine learning (ML) models proliferates in commercial and defense applications, the United States Army (Army) faces significant challenges in evaluating the effectiveness, robustness, and safety of these ML models in armament systems. For the Combat Capabilities Development Command (CCDC) Armaments Center, the decision to enable automated choices in these systems, which encompass l ...

To address the challenges posed by verification and validation (V&V) of artificial-intelligence (AI) and machine-learning (ML) for high assurance in safety-critical functions of armaments systems, ARiA and Arizona State University (ASU) will develop and demonstrate the feasibility of the Machine Learning Qualification Process (MLQP). The Phase I effort will (1) research and develop fundamental met ...

Inspection is central to maintaining the quality of products both during manufacturing and in storage. Non-destructive inspection of the internals of a product often requires imaging of the product by particles with low interaction cross section, such as X-rays. In Computed Tomography (CT), the 3D image is reconstructed using measurements of transmission using a large number of angles (projections ...

A compact and portable SOFC, 1-3 kW, is an excellent choice to convert a hydrocarbon fuel source to electricity due to its high efficiency. Currently, SOFCs are optimized to run a single fuel source, and a fuel flexible reforming technique that can integrate with SOFC is needed to have the potential to utilize all different energy assets, including propane, methane, and biogas. Catalytic partial o ...