Award Data

Development of an efficient device capable of concentrating ultrafine radioactive particulate aerosols is essential to the detection of nuclear detonations using a Radionuclide Aerosol Sampler and Analyzer (RASA) system as well as U.S. Navy’s development of a fast acting naval radiation detection system. We propose to develop an efficient device for ultrafine particulate aerosol concentration an ...

To obtain spectrum dominance the U.S. Navy needs to make use of all the Radio Frequency assets on their SWAP-constrained platforms. Thus it is critical that the apertures available can be used as effective active and passive radar, high-data-rate communications, ELINT/SIGINT, ESM and Electronic Protection (EP) and Electronic Warfare (EW) systems. Integrating these capabilities into a single multi- ...

This effort proposes to develop an Integrated Classification and Clustering (ICC) system for AutomaticRadio Frequency Activity Modeling and Pattern Recognition (RF-AMPR). The proposed system consistsof three main components, an RF signal generative model (RFGM), a cyclostationsary feature (CF)extraction module, and the ICC system. The RFGM generates simulated RF data and captures RFactivities pres ...

Leveraging our experience and expertise in robot development and system integration (hardware and software) as well as deep learning for agricultural applications, Hitron Technologies Inc. (HTI) proposes to develop an Intelligent Remote Egg Oiling System (IREOS), with the collaboration of University of South Carolina (USC). The IREOS allows for effective nuisance bird management by performing auto ...

Intelligent Automation Inc. (IAI) proposes the design and implementation of the Target Recognition with the Assistance of Artificial Intelligence (TRACE) system that incorporates classical model-based target classification and identification approaches with data-driven machine learning solutions to improve the target classification accuracy. The outcome of the TRACE systems is a set of machine lea ...

Heron Systems proposes Readiness+, a multi-dimensional analysis and predictive capability to improve the value offered by the Automated Logistics Environment (ALE) employed by the E-2D Advanced Hawkeye. Adapting successful concepts from industry, a cognitive system capable of both predicting maintenance requirements and suggesting preventative actions will be created. This capability will be built ...

Signal Systems Corporation will develop a Large Area Maritime Big Data Analytics (LAMBDA) system to improve P-8A operator performance by extracting target behaviors that improve P-8A crew tactics. In Phases I and II we will show the feasibility of improved mission performance using LAMBDA installed in TacMobile and provide a laptop system for post SBIR aircraft demonstrations. We will focus on top ...

Chesapeake Technology International's (CTI's) proposed solution for the "Maritime Big Data Analytics" small business innovative research (SBIR) program is the Omen Open Big Data Analytic Platform. Omen can be used to provide airborne processing of terabytes of sensor data while synchronizing to afloat and ashore enclaves via a roll-on tactical cloudlet approach. CTI's solution will build on experi ...

The Navy seeks big data technology to enhance decision-making during maritime missions. The success of military operations significantly depends on the level of situational awareness. For the P-8A Poseidon conducting long-range anti-submarine warfare and other mission areas, there is an exponentially increasing array of sensors and disparate information sources for inflight sensor operators to ana ...

The musculoskeletal injuries due to prolonged exposure to whole body vibrations have been associated with military aviation. This association continued to be identified as an issue of significant importance to the fleet. Chronic injury and fatigue have been identified as significant cost drivers to both the DoD and VA. Lost work days, reduced operational readiness, and increased medical costs (dur ...