Award Data

The Phase II Buoy Localization and Uncertainty Estimation (BLUE) program is developing advanced algorithms and software to improve target localization error in air ASW multistatic sonar missions. Significant improvements in target localization come from three distinct technology advancements: better knowledge of sonobuoy motion, more accurate target tracks, and improved fine bearing measurements f ...

The ability to predict the ignitibility potential of a combustor at various operating conditions is not practical at this time due to the complexity of this process. Ignition within a gas turbine combustor is dependent on various parameters; including spark (or plasma) energy, flow conditions, fuel/air ratio, and fuel spray density. All these parameters must be properly predicted in order to effec ...

Pattern Recognition on Bayesian Estimates (PROBE) is a set of software enhancements for the Multistatic Active Coherent System (MAC) which improve clutter screening and reduce operator workload by using a convolutional deep neural network that interprets the outputs of a Likelihood Ratio Tracker (LRT). PROBE will improve MAC operations by providing earlier contact follower creation, improving trac ...

Over the last decade the amount of data available from the internet, sensors and other sources has grown dramatically providing the opportunity to gain novel insights in many fields. Uncovering non-linear low dimensional structure in high-dimensional data (i.e., manifold learning), a key to summarization, remains a challenging problem which ultimately inhibits knowledge discovery. Intelligent Auto ...

For Robotic/Autonomous Systems (RAS) to be truly effective in the battlefield, they need to be integrated with intelligent decision-making capabilities. In particular, the following capabilities will help them dealing with the challenging real-world problems of off-road navigation: 1) Accurate terrain traversability assessment; 2) Optimal trajectory computation; and 3) Effective maneuver selection ...

Accurateintravascularvolumeassessment improves the detection of hemorrhageand hypovolemiaand facilitates decision-makingrelativeto resuscitation,surgery,and selection of higher level ofmedical care. Non-invasiveassessment techniquesare particularly important in thefield. Currentapproachesand devices do not have broad utilityand availability. Duringthe PhaseIeffort, the project team developed alow- ...

This Phase II SBIR project will continue the development of an optical sorter that will be used to estimate drop sizes in sprays. The optical sorter will determine the size of drops in the 0.1 to 10 microns range. Drops in this size range are prevalent in the automobile industry, where the fuel injection pressures have increased tremendously over the past two decades. These newer injectors provide ...

The ability to refuel piloted aircraft in flight is a strategic military advantage that has been critical to success in every DoD military engagement of the jet age. Adding the capability to refuel Remotely Piloted Aircraft (RPA) will increase the number of aircraft that can be kept on station, as well as their time on station, thereby extending USAF reach and its ability to protect allies while p ...

The Analytic for Federated Data (ALFRED) capability was researched under I2WD's SBIR Phase I program in 2017. ALFRED is a general-purpose Machine Learning framework upon which open-source algorithms can be deployed and run. Such algorithms include Recommenders that operate over multi-model Big Data stores to identify and deliver relevant data to mission analysts. The resulting product is a general ...

To obtain spectrum dominance the U.S. Army needs to make use of all the Radio Frequency assets on their Size Weight and Power constrained platforms. Thus, it is critical that the radar apertures can also perform other tasks such as communications and ESM. To do so efficiently requires the multiplexing of multiple modes onto the aperture, overcoming radar-hardware limitations such as the use of non ...