Abstract:Azure Summit Technology and Shared Spectrum Corporation propose to improve the spectrum efficiency of ad-hoc networks while at the same time maintaining a high level of anti-jam robustness. Our approach is focused around four main strategies; time and frequency assignment and separation,… more
Abstract:Next Generation airborne Navy Radar and Communication Systems will continue to rely on and evolve Active Electronically Scanned Array (AESA) systems to have more digitized channels for the flexibility of advanced digital beamforming (DBF), Space-Time Adaptive Processing (STAP), and agile wideband… more
Abstract:SEWIP Block 2 will utilize a fast-scanning ES receiver to rapidly acquire pulse data in the wideband threat spectrum. Depending on the scanning parameters, large gaps in pulse trains may confuse current deinterleaver technology, and ultimately confuse Emitter ID, which is already a challenge given… more
Abstract:Flying insect vectors and the diseases they transmit continue to be a significant source of concern for United States service members deployed in field operations. In an effort to reduce contact between the vectors and humans, military entomologists are often required to perform surveillance to… more
Abstract:ABSTRACT: Barron Associates Inc. proposes development of an Affordable Multi-Physics Local Environment (AMPLE) Space Situational Awareness (SSA) system. The solution integrates multiple sensor phenomenologies, unconventional data sources, cross-platform information sharing, and sensor fusion to… more
Abstract:ABSTRACT: Barron Associates Inc. proposes development of a Game-based AutonoMy-Enabled Response (GAMER) system for spacecraft protection. The effort extends leading-edge research in dynamic games to enable autonomous defensive response to space threats. GAMER introduces a hierarchical approach that… more
Abstract:Barron Associates, Inc.~proposes to develop the Rugged Automated Training (RAT) system, a cost-effective, rugged, automated environment to train and deploy small animals to detect landmines and other compounds of interest, and to evaluate their performance. The RAT system will train animals to… more
Abstract:ABSTRACT: Barron Associates, Inc. proposes an aggressive Phase II effort to make on-board threat information fusion technology available for future DoD, National, and commercial space systems. Fusion of Information for Response to Space Threats (FIRST) encompasses three key technical components:… more
Abstract:Shipboard launch and recovery of remotely operated vehicles (ROVs) is a challenging engineering problem requiring careful design and integration of hardware and software. The seaway-induced relative motion between the host vessel and ROV is often difficult to measure or model, which may render… more
Abstract:Limb loss affects approximately 1.9 million people in the United States. It is well established that lower-limb amputees show greater metabolic demands during gait and more limited mobility compared to non-disabled individuals. Currently, there is no lower-extremity prosthesis available that can… more
Abstract:ABSTRACT: Barron Associates, together with subcontractor Rockwell Collins, propose to develop a new class of design and analysis tool that will significantly reduce the time and costs associated with V & V of complex cyber-physical systems-of-systems, and that will pave the way to certification… more
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
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