Award Data

Prixarc proposes to develop and commercialize novel terahertz (THz) focal-plane array (FPA) that utilizes 3D microstructures, smart readout integrated circuits, and allows efficient integration with processors that incorporate machine learning to increase the data collection efficiency. We plan to collaborate with University of Miami (UM) and Kansas State University (KSU) for this project. We prop ...

The U.S. Dept of Defense is seeking a low power (< 30mA @ 3V), US-sourced, ultra-wideband voltage-controlled oscillator (VCO). Fuzing applications that employ Height of Burst (HOB) sensors utilize specialized chipsets that set the operating range and output power for these systems, and different applications require specific parameters given operational environments, input power, form factor, etc. ...

Failure of satellite electronics and other components exposed to natural space environment has been a concern since the early 1960s due to the radiation effects. The radiation effects can be divided into three mechanisms: total ionizing dose (TID), displacement damage (DD), and single event effect (SEE). These failure mechanisms are usually enhanced nonlinearly by other environmental conditions, s ...

Verification and validation (V&V) of ICs have become progressively difficult as design complexity, the reuse of third-party intellectual property, and malicious attacks on microelectronics have all increased. Given these challenges, the DoD needs automated, user-friendly post-synthesis verification and validation solutions to assure its critical hardware systems. To address this need, ECI presents ...

Implementation of multiple parallel current-sharing filaments in high-voltage photoconductive semiconductor switches (PCSS) has been shown to be very effective in scaling the current handling capability of the devices. This approach increases the active current-switching area on the surface of the device to handle higher total current. In this effort, we will develop a vertical geometry PCSS that ...

The pace of remotely sensed data collection is increasing exponentially while the skilled workforce that is available to analyze and interpret the data is not. Artificial Intelligence (AI) offers a technology pathway to automation which promises to rapidly reduce the gap between data and information products and services. However, AI techniques require massive quantities of labeled data to train m ...

In Phase I, our team of Kitware and UC-Berkeley developed Scale-MAE by adding ground sample distance (GSD) to positional encodings, and produced a multiscale representation that achieves state-of-the art results across image classification, semantic segmentation, and object detection tasks. In Phase II, we will create a remote sensing pretraining toolkit to enable fast and easy experimentation wit ...

In response to the 2023 DMEA SBIR Phase I solicitation topic DMEA231-001 titled High-G Accelerometers, the Interdisciplinary Consulting Corporation (IC2) proposes to develop a robust, real-time, tri-axis accelerometer using microelectromechanical systems (MEMS) technology that can provide accurate measurements in high-G environments and survive up to 60 kG. MEMS accelerometers have played a cruci ...

Currently, the US has limited production facilities for opening switches, e.g., DSRDs, which are manufactured with very outdated manufacturing methods and technology, e.g., based on deep diffusion of dopants into a thinned silicon wafer. The goal of this effort is to develop scaled manufacturing processes, manufacture batch quantities, and enable high-volume manufacturing of semiconductor opening ...

Satellite platforms play a critical role in the modern defense and intelligence infrastructure, providing timely, detailed, and readily available imagery to support U.S. national security. An ever present and fundamental requirement for this type of data is automated target detection and recognition, helping to quickly locate and correctly identify targets from vast quantities of image data. Despi ...