Award Data

With expanded connectivity, the spectrum of devices that are susceptible to cyber-attack is constantly increasing.Beyond this, given the increased processing power and capabilities of everyday IoT/embedded devices, cyber-attacks that previously only targeted endpoints (e.g., botnets, ransomware, DoS, DDoS, etc.) are now broadly applicable.Unfortunately, current cyber-threat detection solutions are ...

Air cargo security is critical to minimizing the overall risk to national security. However, screening air cargo with current state-of-the-art computed tomography (CT) imaging is a complex and challenging task for screeners. To address current complexities and challenges, Charles River Analytics proposes to design and demonstrate Supportive Intelligence and Fusion Technology to Ecologically Repres ...

Physical Sciences Inc. (PSI) proposes to develop an air cargo screening software suite that automatically parses air cargo waybills and detects and localizes the reported cargo contents within X-ray images obtained during screening. The software will utilize state-of-the-art machine-learning (ML) and natural language processing techniques to rapidly analyze and correlate manifests with associated ...

Many first responder organizations at various levels, including federal, state and local, as well as non-profit agencies each have different methods of identifying first responders on scene during an incident. The lack of an interoperable and standardized credentialing solution for first responders results in more challenges with communication and coordinated access to information on identificatio ...

To achieve the goals for the DHS SBIR topic “MCX Server-to-Server Communication, voice communications, 3GPP-Standards” (DHS231-005) to develop a unified process, strategy, and methodology to achieving interoperability of MCX server-to-server communications and to create a test tool for conformance and interoperability testing for MCX server-to-server communications, we will develop the ...

Tiami LLC, a socially and economically disadvantaged small business located in a HUBZone, aims to develop a first-of-its-kind reduced-order modeling solution for data communications networks. We will develop a discrete-time linear time-invariant (LTI) state-space model for a general communications network. We will then apply projection methods such as proper orthogonal decomposition (POD) and bala ...

Correctly labeled data is essential for training AI/ML-based automatic target recognition (ATR). The training process is all the more complicated in synthetic aperture radar (SAR) images because of their unique phenomenology, such as orientation-sensitive target signatures, layover, cross-range smearing, and radio frequency interference. New automated technology must reduce the cost and acc ...

Commercial imaging satellites capture the majority of the planet’s surface every day, generating millions of images. Searching such data for specific objects of interest is extremely difficult to do manually without automated computer image analytics. NGA is seeking a novel scientific formalism and tools for training overhead image detectors on rare and new objects of interest, for which large, ...

Reducing the false alarm rate (FAR) of Automated Target Recognition (ATR) algorithms is crucial for intelligence, surveillance, reconnaissance (ISR) and precision target engagement missions. There are many contributing factors that result in higher FAR for deep learning (DL) ATR networks operating on Synthetic Aperture Radar (SAR) imagery, including: image distortions, unrepresentative target sign ...

TP Engineering personnel have extensive experience with electro-optic systems and high Pulse Repetition Frequency (PRF) Laser systems. We have detailed knowledge of Pockels cell systems enabling active gated imaging through foliage at PRF 100 kHz PRF. Such systems can dramatically improve and protect Geiger-mode LIDAR by both controlling the transmitter output and gating out unwanted return lig ...