Award Data

We propose to deliver a system prototype based on the Adaptive Storage Network (ASN) architecture developed in Phase 1 of the SBIR, in order to demonstrate that a fully-distributed self-organizing approach can meet the needs of scalable storage repositories for the NGA and other governmental and large-enterprise infrastructures. The goal of this project is to make data simply and transparently acc ...

Implement methods to improve our Phase I architecture for complex SAR imagery collected from different systems and with different collection parameters. Implement techniques to boost performance across all ground features of interest. Reduce the amount of human intervention needed for training our SAR image segmentation architecture.  SAR segmentation can be applied to a number of areas: Intellig ...

The sodium battery using beta-alumina solid electrolyte is one of the most promising grid-scale electrical energy storage technologies that can balance the short-duration variability in renewable generation. Despite many advantages, the sodium batteries have several barriers for successful commercialization, mainly related to safety issues and high capital investment for installation. The safety i ...

We propose to develop a portable, rugged, handheld multi-gas sensor that is well within the solicitation requirements. We will leverage a mature class of mass sensors that include capacitive micromachined ultrasonic transducers (CMUTs). These sensors boast extraordinary sensitivity to changes in mass (e.g. 50 femtograms) and are used today in several applications including high resolution ultrason ...

The multidisciplinary area of GEOINT is changing and becoming more complex. A major driver of innovation in GEOINT collection and processing is artificial intelligence (AI). AI is being leveraged to help accomplish spatial analysis, change detection, and image or video triage tasks where filtering objects of interest from large volumes of data is critical. NGA is confronting the changing GEOINT l ...

The proposed effort will result in an "universal" fan noise cancellation system for use with high performance fans used extensively in defense applications including auxiliary power unit (APU) applications. Fans are a critical noise source that impact the audible detection range of the platform. The importance of the fan noise for detection continues to increase as other technology improvements ...

Software developers are faced with a variety of security challenges when developing and deploying new systems. The software may be subject to malicious insiders, external threats and supply chain threats that access systems through poor software hygiene or the presence of zero-day vulnerabilities that the vendor is not aware of. While an array of software assurance tools have been developed that ...

Toyon Research Corp. proposes development of a software prototype for automated 3D damage assessment in urban environments. We will document the requirements for the algorithms and software, and optimize or extend the algorithms as needed. We will implement the software prototype, leveraging and integrating existing components where possible and implementing new components as needed. We will qua ...

The Army is seeking next-generation automatic target detection, recognition, identification, masking, tracking, and aim-point selection tools for small caliber weapons systems borne by dismounted soldiers to improve warfighter effectiveness. Accordingly, OKSI has proposed implementing state-of-the-art machine learning tools (e.g., deep learning) on ultra-low SWaP modern processors (e.g., Nvidia TX ...

Drug overdose is now the leading cause of death for Americans under 50 years old, with fentanyl claiming more lives than any other drug. Alarmingly, the problem is increasing, with fentanyl overdoses claiming nearly twice as many lives in 2016 compared to 2015. In addition to users, first responders are at risk for exposure to fentanyl as they perform their duties. Fentanyl is extremely dangerous ...