Award Data

IFOS proposes an approach to developing an optical fiber Bragg grating (FBG)-based real-time instrumentation system for machinery vibration monitoring and diagnosis. IFOS’ key innovation is in the use of an advanced fiber optic sensing system that can make temperature and vibration measurements, with vibration signature identification and statistics tracking techniques for the assessment of ...

Neural networks have proved highly effective at extracting information from text. However, noisy microtext has proved to be particularly difficult because low-level syntactic cues much less useful. In this project, we propose to explore ways of incorporating strong semantic, expectation-based models into a neural net architecture to improve performance on microtext extraction. In phase I, we will ...

The subsonic diffuser duct of a modern tactical aircraft is the most difficult component to verify performance at off-design conditions, because of the large cost of testing/modeling complete installations at large scale. It is desirable to effectively reproduce the flow at the end of a supersonic inlet for interfacing with a direct-connect subsonic duct rig. The CFDRC team proposes to deliver a r ...

In this Phase I SBIR, Oceanit will develop a novel, powerful, adaptable cyber defense capability to support autonomous Air Force weapons systems.

Aided Target Recognition (AiTR) algorithms augment human decision-making, but require a large database of labeled targets for training. Applied to new domains, these algorithms fail to transfer knowledge and require substantial retraining. Areté and University of Alabama Huntsville (UAH) propose the development of the Domain Extracted Feature Transfer (DEFT) Network to transfer knowledge from a ...

The program has two trusts: (1) Using dynamic biasing to address arbitrary pulse trains, such as would be present in LIDAR and other forms of EO/IR imaging and periodic pulse trains, such as in telecommunications; and (2) Developing an APD the meets program requirements such as a cutoff wavelength >1.6 m, low dark current, low excess noise and a >200 K operating temperature. In the proposed ...

IFOS and STTR partner Stanford University propose an innovative fiber-optic sensor array leveraging the latest advances in slow-light fiber Bragg gratings (SL-FBG). SL-FBGs substantially improve upon the sensitivity of commercially proven conventional FBGs (C-FBG) by more than 3 orders of magnitude and can be interrogated at megahertz rates. SL-FBG differ from C-FBG in their refractive index modul ...

The objective of this proposal is to investigate the feasibility and to increase the awareness of the potential stakeholder with Air Force on the technology of a multifunctional structural battery that was originally developed by a Team at Stanford University. The multifunctional structural battery embeds Li-ion battery materials into high-strength composites material. The structural battery not o ...

We propose to perform customer discovery in Phase I to identify quantum grade single crystal diamond requirements for future Air Force quantum technologies with an aim to extend our state-of-the-art diamond synthesis process to demonstrate prototype quantum grade diamond in Phase II and to establish a domestic supply of quantum grade diamond in Phase III.

Quantum computer technology is critical and strategic to the Air Force. Quantum computer technology based on topological qubits is inherently stable and resistant to errors because it exploits local topological symmetries and global boundary conditions of chalcogenide materials to yield unique, emergent quantum cooperative signatures. Wake Forest University and Streamline Automation have been work ...