Award Data

Industrial facilities, manufacturing plants, and electric power plants that burn fossil fuels exhaust the combustion products to atmosphere through their smokestacks. Stack pollutant emissions are quantified using manual testing methods developed in the 1960s, which are prone to error if non-axial flow exists in a stack.Recently, NIST has been working on an improved technique of performing 3D flow ...

To evaluate the technical feasibility of prompt gamma neutron activation (PGAA) as an alternative to a set of standard destructive tests of concrete petrography including aggregate type, water/cement ratio, aggregate/binder ratio, density, chloride content and chloride bulk diffusion constant; and to determine the specifications for the design of a dedicated commercial laboratory-based PGAA facili ...

Machine learning models are susceptible to adversarial attacks that make modifications to the input data in order to cause misclassifications. The root cause is the linearity of the decision boundaries of machine learning models in relation to their inputs. One promising direction is to represent the input data as a distribution. Quantum information science entails techniques for working with wave ...

In this SBIR project, EMAG Technologies Inc. proposes to develop a compact, low-cost, scalable, transmit-only X-band active phased array antenna with phase-only nulling capability based on our proven VISAT architecture. The proposed AESA will use commercial PCB manufacturing platform and will utilize commercial off-the-shelf (COTS) parts and components for the entire multilayer stack-up. The propo ...

State of the art object detection in satellite imagery currently requires large quantities of hand-labeled satellite images. But what if there exists only very limited satellite imagery of the object, perhaps a single pass? Current deep learning solutions can not learn effective models with this extremely limited data. If, however, there exists model of the object that can be used to synthesize mo ...

methyst Research Inc. will design, fabricate and test a high uniformity, large area, low noise infrared trap-detector detector for the 1- 4.5 μm wavelength range. This state of the art detector will have a large area (e.g., 1-1.8 cm diameter active area) with a spatial variability of internal quantum efficiency of less than 0.1 % between 1 μm and 4.5 μm. In addition, the internal quantum effici ...

Baker Engineering Inc. (BEI) proposes an advanced, electrically-assisted turbocharger to meet the needs identified in this solicitation. BEI"s solution provides a lightweight, durable, self-lubricated turbocharger that will set new standards in performance on heavy fuel engines in the 50-150 Hp class. An electrically-assisted turbocharger offers supercharger characteristics to a turbocharged eng ...

Florida Turbine Technologies proposes an oil-free bearing shaft support system for an Unmanned Aerial System (UAS) internal combustion (IC) engine turbocharger. During the course of Phase 1, FTT will design a light-weight high performance UAS turbocharger for IC engines in the 150 horsepower class. A conceptual design of the turbocharger system capable of providing sufficient boost pressure wil ...

Mainstream Engineering will use state-of-the-art technology and manufacturing processes to develop an innovative, high speed, lightweight fuel injection system capable of providing multiple injections per engine cycle at engine speeds up to 6000 RPM. To overcome the barriers associated with spark ignition of direct-injected heavy fuel (JP5, JP8, etc.), Mainstream will leverage previous internal re ...

Unmanned Autonomous Systems (UAS) are complex systems that exhibit a broad array of behaviors in a wide range of missions and environments. They can change their behaviors over time so the UAS rigorously tested at the range is not the same as the one operating in the field. Current testing methods are inadequate to verify that they are safe to operate in close proximity with humans. Testing Robust ...