Special Coverage

Iodine-Compatible Hall Effect Thruster
Precision Assembly of Systems on Surfaces (PASS)
Development of a Novel Electrospinning System with Automated Positioning and Control Software
2016 Create The Future Design Contest Open For Entries
Clamshell Sampler
Shape Memory Alloy Rock Splitter
Deployable Extra-Vehicular Activity Platform (DEVAP) for Planetary Surfaces
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Framework Software Library Version 1.0

Goddard Space Flight Center, Greenbelt, Maryland Within the space community, there is a need to exchange a wide variety of data between partner organizations. The Framework software library can be used to exchange any type of data between partners. It provides these core capabilities:

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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.

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

NASA’s Jet Propulsion Laboratory, Pasadena, California 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.

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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.

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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.

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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.

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4 Steps In Selecting Fluid Connectors For Medical Device And Equipment Applications

With so many risks and options for connecting tubing in medical applications, it is important to have a simple and repeatable strategy for selecting the best connector solution. The process requires a thorough analysis of the application in order to ensure connectors will be compatible with the physical, chemical and biological environment, and be easy to use and help prevent misconnections—whether the application involves connecting air lines for a blood pressure cuff, connecting reagent supplies to a blood analyzer or making critical connections between a patient and heart-lung machine.

Posted in: White Papers, White Papers

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