Award Data

This project will develop a prototype of a new component that supports classroom-based implementation of products in the library. The prototype will provide a mechanism for teachers to provide data on their experiences implementing technology products, and customized reports new teachers can use with results from prior teachers on how to best implement education technology. At the end of Phase I, ...

Researchers will conduct a pilot study with a socio-economically and diverse sample of at least 500 high school students who will test the prototype ROI tool. The researchers will examine the feasibility and usability of the prototype, whether ROI information increases search and discovery for educational opportunities; whether having ROI information increases the likelihood of click-through rates ...

Deep learning offers a powerful and extensible toolset to achieve or exceed human-level accuracy for automatic object detection in stream of commerce data. However, in order to train deep machine learning-models for 2D and 3D screening a significant quantity of high-quality ground-truth training data is required.We propose SoCPhysics: A Stream-of-Commerce Physics-Based Data Generation Application, ...

Gun-launched applications currently expose inertial measurement units (IMUs) to harsh acceleration, shock, and vibration environments. Furthermore, as they become smarter, they present tighter constraints on size, weight, power, and cost (SWaP-C), while still requiring high levels of performance. New accelerometer technology must reduce SWaP-C while operating through high-g acceleration environmen ...

Mission times for high velocity projectiles (HVP) are very short and detection and discrimination of targets must happen quickly and decisively. One way to achieve this is through the enhanced contrast resulting from polarized sensing, which tends to highlight manmade objects and suppress natural background clutter. Thermal polarimetric sensing in a small package has been demonstrated already but ...

The capability to reliably and remotely detect and track tactical surface targets in a high-velocity projectile after launch is a critical need. The discrimination of man-made objects can be assisted by the detector technology, with options including two-color detectors and polarimetric filtering in the thermal infrared bands. The level of complexity in the focal plane array affects its survivabil ...

Vadum will develop and test Cryptography Hidden In Plain Sight (CHIPS) – a novel technique for secure computing with neural networks used in computer vision applications. The technique transforms any deep convolutional neural network (CNN) operating on data in the plaintext domain into a cryptographically secure equivalent making it resilient to white-box and black-box attacks. Homomorphic ...

Protecting the effectiveness of US advanced weapon systems and the technology they rely on is a national priority. Unfortunately, individuals tasked with this mission are met with disjointed guidance, no training, and competing processes to consider. It is no wonder adversaries continue to exploit these weaknesses in the Department of Defense (DOD); stealing our Critical Program Information (CPI) ...

The Global Positioning System (GPS) and other global navigation satellite systems (GNSS) are the critical providers of position, navigation, and time (PNT) information to an almost uncountable number of users and applications. Widespread dependence on GPS has led to awareness that GPS data availability is a single point of failure for many systems and applications. In addition, GPS signals are ver ...

BluEyeQ LLC and Los Alamos National Laboratory are pleased to propose an interoperable network of Internet of Things (IoT) enabledradiation detectors.With the emergence of high performance, low cost networking equipment and Big Data cloud analytics, the opportunityexists to harness the vision and intelligence available from distributed sensor data.Our proposal demonstrates a path to modernize past ...