Award Data

Information Systems Laboratories (ISL) and Florida Atlantic University (FAU) propose to develop and test a system that uses existing signal processing algorithms coupled with innovative construction technology developed ISL under our E-Field sensor programs and FAU under UUV programs. The Challenge is to develop a small system package with the capability to intercept active threat emissions early ...

The focus of this STTR program is the development and maturation of a novel, room-temperature process to fabricate multi-layer metal-polymer (including PVDF and other smart materials) composites in an additive approach. This overcomes the limitation arising from the large temperature difference between metal and polymer manufacturing processes, and presents a new technology for additive manufactur ...

The proposed effort will further refine the adaptive model-based estimation and control guidance law developed during the Phase 1 effort to work in a two-tier algorithm with an agile, game-theoretic guidance law that is immune to the acceleration of the target. The two-tier approach is used to bring the intercept vehicle close to the target while conserving fuel but still obtains good minimal mis ...

Synthetic scenario-based training of Navy personnel in the use of Navy SIGINT/IO systems has helped to reduce training costs, and it has enabled the personnel to be trained in an environment that sufficiently approximates real-world situations that could not otherwise be accomplished within the class room. However, scenario development is highly complex and involves a great deal of human effo ...

Synthetic scenario-based training of Navy personnel in the use of Navy SIGINT/IO systems has helped to reduce training costs, and it has enabled the personnel to be trained in an environment that sufficiently approximates real-world situations that could not otherwise be accomplished within the classroom. However, scenario development is highly complex and involves a great deal of human effort and ...

Nanoscale infrared detectors are emerging as a potentially powerful alternative to traditional infrared detector technologies. The University of New Mexico has developed dots in a double well (DDWELL) quantum dot infrared photodetectors which have a spectral responsivity that can be tuned by controlling the bias voltage applied. In this Phase II effort, Polaris Sensor and UNM would fabricate a g ...

Frontier Technology, Inc. (FTI) and Northeastern University propose to investigate and develop an innovative approach to predict stall events of aircraft engines prior to occurrence and in sufficient time to allow the FADEC controller to adjust engine variables. The team will utilize vector quantization and neural network techniques to develop accurate models of engine behavior that will be used t ...

ABSTRACT: Existing machine learning algorithms have difficulty using all available data about a problem. This STTR will develop a new algorithm that can make full use of all available data, whether that data is labeled or not, and even when some data types or data resolutions are not available during operation. BENEFIT: This STTR will develop a novel machine learning algorithm for reasoning abo ...

Aurora Flight Sciences and MIT propose to develop a model-based adaptive health estimation and real-time proactive control to identify gas turbine engine stability risks and avoid them through control action. In this concept, the engine control system actively monitors sensors and actuators, compares them against physical models, and infers which components may be performing poorly and may need to ...

This proposal is to develop a new system for Adaptive Visualization of Social Networks (ADVIS). Numerous social network visualization systems have been produced in recent years. But even in the few top systems cognitive science and design principles have been applied in an ad hoc and non-systemic manner. Accordingly, each visualization system is a one-of, which may be fine-tuned to a particular ...