Award Data

This project aims to make Laser Powder Bed Fusion (LPBF) additive manufacturing a practical tool for supply chain management for the Defense Logistics Agency.The key step is developing process standardization to make LBPF quality vendor independent. This project will seek to demonstrate the use of a promising high speed melt pool monitoring device as a practical means to establish such process sta ...

Made In Space, Inc. (MIS) and Siemens PLM Software propose an integrated Automated Processing. Monitoring, Control and Remediation System (Aul) to provide a process monitoring and control capability. Made In Space, Inc. leads the effort based on integrating Made In Space, Inc., proven inspection sensors systems with a Digital Thread for Additive Manufacturing (DTAM) system, co-developed by Siemens ...

Universal Technology Corporation (UTC) has teamed with the University of Dayton Research Institute (UDRI), Stratonics, and Macy Consulting to demonstrate not only the transitionability into commercial systems, but also to develop the data analytics and monitoring and control requirements to extract the full value fromseveral sensors, including the Stratonics ThermaViz, acoustic and profilometry se ...

Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

Toyon Research Corp. proposes development of a system that automates disaster assessment based on fusion of overhead and ground-basedimages, video, and other data. In Phase I, we will investigate various possible data sources and the benefits of fusing the data in automatedanalysis. We will select and curate data for processing in a Phase I feasibility study. Damage assessment will be performed in ...

To address the NGA need for algorithms that fuse observables from over-flight operations and from ground sources to automatically estimatethe degradation of urban environments due to battle damage or natural disasters, Intellisense Systems, Inc. (ISS) proposes to develop a newBayesian Urban Degradation Assessment (BUDA) software system. It is based on the integration of multiple damage assessment ...

We propose to build ARGON, the ARet Ground-to-Overhead Network. The network will ingest analyst-supplied ground-level imagery ofobjects and retrieve instances of those objects in overhead collections, providing tips back to the analysts. A proprietary method of trainingthe network, leveraging in-house capabilities, data sources, and tools, will be critical to its success. During Phase I, we will p ...

Seed Innovations and subcontractor BIT Systems, a division of CACI International, apply our experience in machine learning, data analytics andimage processing to accomplish the research for the SBIR topic: Suppression of false alarms in Automated Target Recognizers (ATR) that useMachine Learning. With the amount of available imagery data increasing and adversaries vehicles and tactics becoming mor ...

Snakebite is an occupational hazard for military personnel on every continent except Antarctica and an estimated 75% of fatalities from snakebite occur outside the hospital setting. Yet, no field antidote exists. Small molecule inhibition of snake venom sPLA2s and metalloproteases (svMP) will successfully treat most life- and limb-threatening snakebites without need for advanced treatment faciliti ...

Research has identified that handoffs are particularly important communication processes, during which communication error can lead to patient safety situations. Organizations have created standard practices and training materials to encourage teamwork communication for handoffs, however these do not necessarily capture the needs of military medicine of combat casualty care. Combat casualty handof ...