Abstract:Many existing flight simulators currently lack the aerodynamics modeling required to train pilots for stall/upset conditions. Further, the process of updating an existing simulator database can be difficult and costly due to simulation database rights licensing, complex simulation host architectures… more
Abstract:By exploiting the high Doppler rate of torpedoes, low-latency, high-reliability, and high-mobility torpedo detection, classification and localization (DLC) can be accomplished with joint active-passive sonar signal processing using the hull array. Our system combines passive cues and a new active… more
Abstract:ABSTRACT: This project will identify feasible game-theoretical approaches for joint waveform adaptation, cognitive spectrum sensing & management in hierarchical spectrum sharing games with primary users, secondary users, persistent jammers and asymmetric information structures. Develop… more
Abstract:This proposal addresses NASA's science objectives with innovative lidar architecture for atmospheric CO2 measurements. Specifically, the proposed work can support and potentially enhance the Active Sensing of CO2 Emissions over Nights, Days, and Seasons (ASCENDS) technologies. Using an active… more
Abstract:Representing knowledge in a triple store is trivial, yet querying and visualizing the resulting knowledge is difficult and inefficient when the number of triples is large. Needing to understand the data models from each of the contributing processes and how these data models overlap or interact… more
Abstract:The US military and intelligence community has been successfully fusing the data it gathers into actionable intelligence. However, the volume of data is increasing such that it cannot be processed on a single server, calling for distributed data fusion algorithms that operate across a cloud. As data… more
Abstract:The Department of Defense Joint Vision 2020 aims to create a force that is dominant across the full spectrum of military operations through information superiority. Achieving these objectives implies the ability to dynamically share and store data among potentially thousands of participants at the… more
Abstract:We propose to apply a proprietary discrimination technique rooted in the manifold learning literature to discrimination of object type through radar and through electro-optical/infrared sensors, and to use the features computed by this technique to help correlate tracks between sensors. Our… more
Abstract:Creating information products to answer"Tell Me About"questions requires the ability to identify key pieces of information relevant to a complex set of content requirements. Complicating matters, these key pieces of information are scattered across data stores and buried in huge volumes of… more
Abstract:Social network analysis has become one of the most powerful analytic tools in both private and government sectors and a key source of information on individuals and groups. Recently, social media arose as an important source for social network data in both sectors. Unfortunately, theoretically… more
Abstract:This effort is focused on the development of a system called Situational Awareness via Mixed-initiative Universal Recognition, Analysis, and Inference (SAMURAI). SAMURAI will provide a single cloud-enabled end-to-end workflow covering the full range of data analysis from data ingest to situational… more
Abstract:A document can express a wealth of information about its author, including potential groups they might sympathize with to the opinions or emotions they convey. This effort advances authorship analysis into deeper inference and understanding about who the author is. Demographic attributes such as… more
Abstract:Rapid response missions to remote, unknown areas are becoming a primary focus for U.S. military forces. These missions require time-sensitive development of intelligence from all available sources including open source data, historic imagery, and live collections. Capabilities currently exist to… more
Abstract:To maintain situational awareness, analysts must sift through and fuse information across multiple documents, data sources, and modalities (text, imagery, and biometrics). The emergence of Big Data has placed an enormous burden on the analyst as the volume of data to examine has increased… more
Abstract:Creating information products to answer"Tell Me About"questions requires the ability to identify key pieces of information relevant to a complex set of information requirements. Complicating matters, these key pieces of information exist in multiple modalities scattered across data stores,… more
Abstract:Exploratory data analysis is the foremost step in selecting appropriate statistical learning algorithms specialized to a dataset. We have proposed a generative framework for visualizing high dimensional data as low-dimensional manifold embedded in a high dimensional space. The method allows user to… more
Abstract:ABSTRACT: This Small Business Innovation Research Phase II project will develop innovative simultaneous localization and mapping (SLAM)-based methods for accurate geo-registration of wide area motion imagery (WAMI). The proposed computational architecture and key technologies are capable of… more
Abstract:ABSTRACT: Modern aerial Intelligence, Surveillance, and Reconnaissance (ISR) benefits greatly from Small Unmanned Aerial Systems (SUAS) equipped with Wide Area Motion Imagery (WAMI) sensors. Given the increasing image capabilities and the small Size, Weight and Power (SWAP) budget of the typical… more
Abstract:NASA's long range goals of reducing the fuel consumption by 30% and increasing fuel efficiency by 35% can be partially accomplished through increasing engine operation temperatures. As a result, the disk section is desired to operate in increasingly higher temperatures, which will subject it… more
Abstract:ABSTRACT: Echo Ridge and George Mason University propose to mature, enhance and further demonstrate the PNT equipment hardware in the loop (HiTL) test asset successfully prototyped in Phase I. The risk reduction prototyping accomplished in Phase I illustrated how efficient and automatic testing of… more
Abstract:ABSTRACT: Echo Ridge and partner Wright State University (WSU) propose to prototype and evaluate the Phase I-developed novel performance enhancing signal processing algorithms enabled by dynamic spectrum access (DSA)-based cognitive radio (CR) and GPS navigation functionality operating on a common… more
Abstract:Echo Ridge and partner Rockwell Collins propose to mature, enhance and further demonstrate the out the window (OTW)-synchronized RF environment emulator technology prototyped and demonstrated in Phase I. The Phase II design and development activities will result in a deliverable prototype system… more
Abstract:Current commercial reactor fuel performance monitoring uses external power range monitors, and evaluates coolant water for contamination that would indicate failure of a fuel element. Estimates of the localized fission rates and temperature distributions within the reactor core are approximated… more
Abstract:Vacuum collection, holding and transfer (VCHT) systems are used on the newest Navy ships to reduce collected sewage volume to achieve desired holding capability when operating in littoral waters where discharge is restricted. Vacuum collection systems use sewage powered ejectors to discharge urinal… more
Abstract:Though vast improvements have been made in various protein expression platforms, limitations arise in the implementation of current purification methods. Traditional chromatographic methods are time intensive, carry heavy material costs, and are difficult to scale - reducing the benefits achieved in… more
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