Award Data

Aurora Flight Sciences and MIT have been developing tools and techniques that, together with existing 3D environment decision-making and navigation tools developed by AMRDEC in the PALACE program, are well-suited to the problem of autonomous vertical landing on unprepared landing sites. In this program, Aurora will team with MIT researchers and UC Santa Cruz (UCSC licenses PALACE technologies for ...

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 ...

Images with associated text are now available in vast quantities, and provide a rich resource for mining for the relationship between visual information and semantics encoded in language. In particular, the quantity of such data means that sophisticated machine learning approaches can be applied to determine effective models for objects, backgrounds, and scenes. Such understanding can then be used ...

This Small Business Technology Transfer (STTR) Phase-I project will constitute design of algorithms, toolsets, and interfaces to detect and visualize complex events from video and communications data. Our proposed system would be based on a Service Oriented Architecture (SOA) which will allow users to integrate services and data from multiple sources and operate in a networked environment. The key ...

The Navy is developing an electromagnetic (EM) launcher for long-range naval surface-fire-support. Severe operating conditions of the EM system place stringent requirements for materials, including high current and magnetic fields, high temperatures, contact with liquid metals, high stress/gouging from balloting contacts and high-speed-sliding electrical-contact with an Al armature. Engineered Coa ...

Impact Technologies, in collaboration with Penn State Applied Research Laboratory, proposes to develop an advanced Battery Monitoring and Management System (BMMS) for lithium-ion battery packs that ensures adequate, safe, and reliable operation. This system will focus on real time diagnostics, prediction of catastrophic failure, and risk assessment for individual cells in high power applications. ...

Impact Technologies, in cooperation with Dr. Mohammed Daqaq from Clemson University, propose to develop a magnetostrictive materials based device for harvesting energy from mechanical vibration. The energy harvesting device will harness power from ship-hull vibrations in order to power sensing devices. This technology will be a key enabler for improved structural and machinery health management. K ...

Impact Technologies, in collaboration with the Georgia Tech Center for Innovative Fuel Cell and Battery Technologies, proposes to develop tools for Lithium Ion Battery Risk Assessment (LIBRA). These tools will allow the Navy to analyze proposed Li-Ion battery designs and assess the overall risk to the platform in the event of failure in a single cell. The tool will also predict the effects of a ca ...

Impact Technologies and Montana State University propose to develop a Dynamic Prognostic and Health Management (PHM) modeling capability and related test, validation, and support toolsets that will enable standardized approaches to model representation, information exchange, and PHM system support, providing for improved integration, interoperability and reuse of developed and emerging capabilitie ...

This research investigates the feasibility of improving operational readiness, reliability and availability of high current cryogenic rf linear accelerators using a cryogenic compatible resonant coupling technique to couple all of the accelerator sections together, including any room temperature portion. This technique guarantees a single resonant frequency for the system insuring rapid turn on. T ...