Award Data

Maintaining the many types of weapons systems within the Department of Defense (DoD) is a tremendous task and procuring replacement components is made especially difficult due to obsolescence and often time, excessive pricing. Many components are no longer available from the Original Equipment Manufacturer (OEM) and the DoD does not have sufficient documentation to develop new suppliers. A new, s ...

Aging military infrastructure is constantly in the need of replacement and upgrades. Competent and qualified domestic producers of these mission vital items are becoming increasingly scarce leading to fewer sources and less competition in the marketplace. To ensure that warfighters are properly equipped to perform their missions it is critical to have a reliable and sustainable supplier base wit ...

San Diego Composites, Inc. (SDC) will provide the Defense Logistics Agency (DLA) qualified environmentally stable composite (ESC) replacement parts as an alternative source of supply for the parts on the DLA published Land and Maritime Replenishment Parts Purchase or Borrow and Limited Source Candidate Parts lists. SDCs ESC parts can be produced up to 75% faster, require up to 98% less preventativ ...

During Phase I, Spectral labs proposes using our multi-disciplined engineering, quality assurance, and production staff to reverse engineer an NSN 6130-015487556 Battery Charger, P/N RF-5853-CH106 in order to become an approved source. We will prepare a Source Approval Request (SAR) which includes a complete Technical Data Package and Test Plans. Following established ISO 9001 certified processes, ...

NextGen Aeronautics (NextGen) is proposing to develop and submit Source Approval Requests (SARs) to increase competition for the manufacture and delivery of Aircraft Launch and Recovery Equipment (ALRE). The DLA has identified critical ALRA NSNs that are sourced by fewer than two manufacturers, limiting availability and competition. NextGen is a proven designer/manufacturer of high-complexity part ...

On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

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 ...

To address the DLAs need for the implementation of augmented reality (AR) in DLAs procurement, logistics, and distribution processes, Intellisense Systems, Inc. (ISS) proposes to develop a new Logistics Augmented Reality Real-Time Efficiency Enhancement (LARREE) system. LARREE is based on novel ultra-low-cost infrastructure enhancements for real-time tracking, using interoperable software database ...

The In Process Control for L-PBF (IPCL) program leverages and in process inspection method recently developed and successfully demonstrated for NASA. This Layer Topographic Map or LTM method measures the surface if every melt layer using a commercial laser profilometer. LTM software detects, locates and identifies flawed regions within a layer for every layer in the part. It does so for several co ...

Critical DoD weapons systems require continuous maintenance; many of the replacement components are available from single or limited sources resulting in lengthy and expensive procurements. Although the government typically paid for the research and development of the specialized equipment often the government does not own data rights and cannot easily solicit proposals from alternate sources. Cre ...