Award Data

Fine grained BST ceramics with high density has attractive properties including nonlinearity, low dielectric loss and high dielectric breakdown strength to realize high tunability. In Phase I program we demonstrated that modification of powder characteristics and composition in nano BST powder resulted in greater than 65% tunability at 250KV/cm with ~500KV/cm breakdown strength and Q value greate ...

In the Phase I program, we will design an experiment/test article, and test/validate instrumentation and diagnostics, to be used to obtain plasma properties about a hypersonic vehicle having characteristics and features of the RAM-C flight vehicle. The test model is to be installed and tested in the LENS-XX facility (in Phase II) and experimental planning will be supported by detailed numerical si ...

In this proposal, DCM Research Resources (DCM), LLC, and Syracuse University propose a highly innovative distributed pattern detection and classification approach, called Compressive Sensing aided Sequential Pattern Detection and Classification (CSASPDC) in Distributed Sensor Network. Our goal is to develop sophisticated approaches that can effectively detect or classify very weak distributed patt ...

Discovery Machine, Inc. (DMI) is partnered with Pennsylvania State University and SAIC (the DMI team) to produce a best practices capture system that goes beyond the storage and dissemination of lessons learned. The proposed system will leverage warfighters’ specific knowledge as deployable knowledge assets. These knowledge assets will be executable best practices that can be embedded in job ...

Covariance realism and consistency are critical to precision tracking and long-term orbit prediction of resident space objects (RSOs). This proposal tackles the key challenges that would yield realistic state estimation error covariance measures for tracking RSOs with relevant covariance consistency metrics. The anticipated result is a proposed estimation architecture that provides state estimatio ...

FBS, Inc. and Penn State, during Phase I of its Air Force Phase I STTR contract, demonstrated high sensitivity defect detection in both isotropic metallic and anisotropic composite structures using a novel ultrasonic modal analysis technique (UMAT). The resulting technology which is a merge of vibration modal analysis and the ultrasonic guided wave technique has shown great potential for providing ...

Communication networks can be viewed and analyzed as information flows, which can be better understood with practical design guidelines by capturing the complex interactions across essential network properties and tasks. Intelligent Automation Inc. and its subcontractor propose a novel unifying approach for multi-scale, multi-resolution network information flow modeling and analysis. We introduce ...

We present a comprehensive framework for modeling, optimization and design for heterogeneous networks. The proposed solution aims to effectively address the existing limitations inherited from the generalized network utility maximization (GNUM) framework. In general, GNUM is a unifying mathematical model as it combines different objectives and constraints from different layers into a single global ...

High temperature deformation and strain are important measures for characterizing behaviors of structural components under high temperature condition. Measuring full-field, high temperature deformation and strain can lead to a better understanding structural and material response, damage initiation, progressive damage, and ultimately limit state attainment in moderately high temperature material s ...

MESH, Inc. has developed a method to take data from multiple fixed site standoff sensors and generate concentration maps using either triangulation or tomography. The programs that MESH has developed will be modified to allow standoff from moving platforms to be used in the data merging process. A simulation suite of tools, also developed by MESH, will be used to set the requirements on the accu ...