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 ...

OSD solicits vendors for a ‘High Acceleration and Hypervelocity Inertial Measurement Unit System’ for use in 155mm projectiles. Development of a gun-hardened and highly miniaturized IMU would revolutionize the way in which 155mm gun systems are employed. A 155mm projectile with guidance, navigation and control would enable the development of new systems such as precision gun launched missile d ...

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 ...

One key concern of the Strategic Capabilities Office (SCO) is the security component of the “Asia-Pacific Rebalance” where the Chinese anti-access/area denial (A2/AD) policy threatens regional security. In response to A2/AD our forces in the Pacific require more affordable and rapidly deployable alternatives to costly missile defense such as large caliber projectiles for Navy electroma ...

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 ...

Few-shot Object detection via Reinforcement Control of Image Simulation (FORCIS) will combine deep reinforcement learning with additional training data augmentations and strategies to develop robust few shot detectors leveraging available simulations.

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 ...

AcuSoft proposes to develop a set of HLA Development Tools to assist simulation software developers in their efforts to implement the HLA. The HLA Development Tools will support the Federation Execution and Development Process (FEDEP) and present an approach to solving the problems associated with the HLA's flexible FOM data definitions. A set of data visualization tools, such as a 2D Plan View ...

AcuSoft proposes to research and develop a Synthetic Environment RTI (SE-RTI). The SEDRIS initiative has established a new programming paradigm that provides lossless transmission of synthetic environment objects. The HLA has been designed to support interoperability and reuse of DoD simulations, and SEDRIS is a major component of HLA. Currently, the SEDRIS data model, APIs and format are prima ...