Award Data

Many custom and hybrid integrated circuits (ICs) and custom electronic components cannot bemodeled in simulation software because of their complexity and/or lack of technical data.TPS developers need to use a hardware modeler for these types of integrated circuits.The proposed WesTest Hardware Modeler will be compatible with LASAR and the VDATS Di-Series digital subsystem.It utilizes the Teradyne ...

It has been observed that cyber-attacks are increasing in both prevalence and sophistication. Most existing cyber defense systems are still using the aged signature-matching techniques which can be easily avoided by current malware through polymorphic methods, such as obfuscation. In this effort, IAI proposes to develop DeepDefense, a deep-learning based cyber defense system to effectively detect ...

iNovex offers a practical approach to transition traditional engineering processes focused on controlling the documentation about systems, to a digitized shared reasoning environment focused on models of complex systems of systems.Our approach supports the Digital Thread's Authoritative Truth by applying semantic technologies to link disparate data sources and engineering artifacts across the acqu ...

WW Technology Groups (WWTG) proposed effort provides a scalable and powerful framework and foundation for Model Based System Engineering (MBSE) of Big Data (BD) with a software toolchain.The approach uses an established front end to perform the connection to data storage and flow of information that can consume a wide variety of data types and formats found in engineering documents.A series of BD ...

TECHNICAL ABSTRACT: The objective of this project is to research the technical feasibility of designing a software tool “Permit Wizard” that will automate the process for aquamarine permit application submittal, review, approval/disapproval and issue (including collection of fees). Aquaculture producers are currently faced with slow, complex, and often confusing permitting processes that must ...

Next Century Corporation proposes the development of Muggsy, a low-shot deep learning detection prototype system that learns to recognize uncommon targets in remote imagery. Our Phase I research extends and leverages an image classification system of our own design called EvoDevo. EvoDevo evolves its own neural network architecture before training to meet the complexity of the data. Muggsy uses le ...

To detect uncommon targets in remote sensing imagery, it is quite often that very few prior examples are available. This so-called low-shot detection remains a very challenging problem in remote sensing, despite the recent development in state-of-the-art object detection algorithms such as Faster R-CNN and YOLO, and low-shot learning methods such as feature shrinking, model regression and memory a ...

Following technology advances in high-performance computation systems and fast growth of data acquisition, a technical breakthroughnamed Deep Learning made remarkable success in many research areas and applications. Nevertheless, the progress of hardwaredevelopment still falls far behind the upscaling of deep neural network (DNN) models at the software level. NGA seeks to apply neuralnetwork minia ...

Topographic features found in ground-based natural images contain information that is useful for a variety of applications including locationestimation and navigation. Traditionally these features have been manually labeled by analysts which is costly and time consuming, especiallyconsidering the volume of readily available data. We propose a novel method for extracting topographic features from s ...

Next Century Corporation proposes to create TopoRobo (topographical annotation robot software) to automatically extract depth-orderedlists of ridge polylines overlaid on an image or video mosaics to feed topography-based geolocation algorithms. TopoRobo will leverage deepneural network machine learning methods optimized for topographical features through EvoDevo, Next Centurys algorithm to grow an ...