Award Data

ABSTRACT: A recent study by the National Research Council found that sophisticated statistical techniques are finding their way into DoD operational test design, but that current DoD practices are still substantially behind the state of the art. The study concluded this has resulted in inefficient test designs, wasted resources, and less effective acquisition decision making. US Air Force test an ...

ABSTRACT: In this program, Agiltron, Inc. and Harvard University will develop a biologically-inspired integrated sensor that can detect the UV, visible (VIS), near infrared (NIR), and mid-wave infrared (MWIR) bands. This sensor will be integrated with plasmonic filters to provide additional information from the radiation field that may not be available to common image sensors. The advanced integr ...

ABSTRACT: In the field of computer vision, extraction of features from sensor data (EO/IR) is critical for inference tasks including target object detection, recognition, classification, segmentation and tracking. The objective of this proposal is to propose computation deformotion models that incorporate various physical properties of scene objects, particularly passenger vehicles. Layered defor ...

ABSTRACT: By considering multiple space-based teams of cooperative and/or uncooperative players with varying orbital geometries and defense/offense capabilities such as sporadic observations, jamming confrontations, and sparse communications, the main challenges in derivation of effective decisions for autonomous space systems are: (a) development of effective game models and game training algori ...

ABSTRACT: Physical Sciences Inc. (PSI) and the University of Tennessee Space Institute (UTSI) propose to develop an innovative system to measure and control the cryodeposit layer thickness that develops on cold surfaces in cryogenic radiometric calibration chambers. The system includes: 1) an in-situ, interferometric-based instrument to monitor the cryodeposit layer thickness, 2) a mitigation sy ...

ABSTRACT: LongShortWay, Boston University, and Applied Communication Sciences propose developing machine learning technologies that utilize combination of low and high resolution sensors for wide area situational awareness BENEFIT: high confidence detection of activities in a larger area of interest

ABSTRACT: Agiltron and the University of WisconsinMadison will develop the first SWIR Image Sensor with a flexible FPA. The sensor is based on the integration of single-crystal Si and Ge nanomembranes, which has the potential to achieve defect-free Ge-based photodiodes for SWIR imaging while eliminating the need for an epitaxial step. In Phase I, we have successfully demonstrated Ge-based PIN pho ...

ABSTRACT: The chalcogenide based ion-conducting memristor has been shown to be an effective element as the core of a simple neuromorphic computing circuit. The response of the computing circuit is the result of weighted external stimuli, the current state of the device, and the history of exposure by the device to the stimuli. A highly specialized version of the device, as developed by the Advanc ...

ABSTRACT: Recent years have seen an explosion in the number and sophistication of malware attacks. The sheer volume of novel malware has made purely manual signature development impractical and has led to research on applying machine learning and data mining to automatically infer malware signatures in the wild. Unfortunately, researchers have recently found ways to game the machine learning algo ...

There are major technical and financial barriers that are preventing Si photonics and optoelectronics to transition from R & D to commercial product domain. The main technical challenge is the nanometric scale precision required for proper functioning of Si photonic devices. High index contrast of Si with its cladding materials allows reducing the size of photonic elements and hence allows packing ...