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Crisis Mapping Toolkit (CMT) V1

Ames Research Center, Moffett Field, California The increasing availability of accessible geospatial data with a turnaround time of days or hours provides unique opportunities for responders to better plan responses to crises, and to inform victims, friends, and relatives of local crisis conditions. However, this raw data is not readily interpretable by the general public.

Posted in: Briefs, Electronics & Computers, Software

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Real-Bogus Machine Learning Systems at the Intermediate Palomar Transient Factory

The intermediate Palomar Transient Factory (iPTF) is a wide-field sky survey of the optical transient sky (e.g., supernovae, variable stars) that uses image subtraction for the discovery of astronomical transients. Astronomical transients, such as supernovae, are only observable on a timescale of weeks to months. In order to thoroughly study supernova physics, it is important to detect the supernova as early as possible to trigger follow-up assets that can begin observing the event in multiple wavelengths prior to its decline.

Posted in: Briefs, Electronics & Computers, Information Sciences, Software

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Scalable Gaussian Process Regression

For multimodal data, this method gives higher prediction accuracy than a single approximate model. Ames Research Center, Moffett Field, California Block GP is a Gaussian Process regression framework for multimodal data that can be an order of magnitude more scalable than existing state-of-the-art nonlinear regression algorithms. The framework builds local Gaussian Processes on semantically meaningful partitions of the data and provides higher prediction accuracy than a single global model with very high confidence. The method relies on approximating the covariance matrix of the entire input space by smaller covariance matrices that can be modeled independently, and can therefore be parallelized for faster execution.

Posted in: Briefs, Electronics & Computers, Software

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MBSE-Driven Systems Engineering Visualization Suite

NASA’s Jet Propulsion Laboratory, Pasadena, California There is a need to define the information architecture, ontologies, and patterns that drive the construction and architecture of Model-Based Systems Engineering (MBSE) models, but less clarity is given to the logical follow-on of that effort: how to practically leverage the resulting semantic richness of a wellformed populated model.

Posted in: Briefs, Electronics & Computers, Software

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Python Turbulence Detection Algorithm (PyTDA)

Marshall Space Flight Center, Alabama This software, written in the Python programming language, estimates turbulence from Doppler radar data. It ingests radar data using the Department of Energy’s Py-ART open-source radar software toolkit.

Posted in: Briefs, Electronics & Computers, Software

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Rigorous Antenna Noise Temperature Calculation Method for International Space Station Visiting Spacecraft

Lyndon B. Johnson Space Center, Houston, Texas The temperature of the orbiting space station’s Sun-facing side could be up to 250 °F (≈120 °C) and will be a significant antenna noise temperature contributor for visiting spacecraft communication and tracking systems during rendezvous. The conventional antenna noise temperature calculation does not take into account the space station reflection effects, and results in an underestimated antenna and system noise temperature. Thus, the visiting spacecraft communication and tracking system performance could be overestimated during rendezvous.

Posted in: Briefs, Electronics & Computers, Electronics & Computers, Software

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Recurring Anomaly Detection System (ReADS)

Ames Research Center, Moffett Field, California NASA Engineering & Safety Center (NESC) subject matter experts analyze records in various International Space Station and shuttle databases to identify recurring anomalies. The key problems these experts face in analyzing such database records are:

Posted in: Briefs, Electronics & Computers, Electronics & Computers, Software

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