BALFIT Version 3.1 Multivariate Regression Analysis and Regression Model Optimization Software

Ames Research Center, Moffett Field, California

The software package BALFIT was developed for both the processing of wind tunnel strain-gage balance data and the analysis of more general multivariate experimental data sets. The software uses automatically generated regression models for the analysis. These optimized regression models are the result of the application of a math model search algorithm to a given multivariate data set. This important feature of BALFIT greatly reduces the time it takes to do an analysis. It has also made the prediction of the dependent variable values more reliable because widely accepted objective metrics are used for the regression model term selection.

Posted in: Briefs, Electronics & Computers, Software, Analysis methodologies, Mathematical models, Computer software / hardware, Computer software and hardware, Computer software / hardware, Computer software and hardware, Wind tunnel tests
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Mariana Text Classification System

Ames Research Center, Moffett Field, California

Support Vector Machines (SVM) can be used as a binary classifier for a wide range of data and problems. For text, it is often used to determine automatically if a document belongs to a given topic category. Automatic and reliable classification of documents can be an invaluable tool for industries that monitor problem reports, accident reports, maintenance logs, and corrective action reports that span different specialties.

Posted in: Briefs, Electronics & Computers, Software, Computer software / hardware, Computer software and hardware, Computer software / hardware, Computer software and hardware, Data management, Identification
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Marshall MRMS Mosaic Python Toolkit (MMM-Py)

Marshall Space Flight Center, Alabama

This Python script will allow the user to read, analyze, and display National Oceanic and Atmospheric Administration (NOAA) Multi-Radar/Multi-Sensor(MRMS) mosaic tile files containing mosaic radar reflectivities on a national 3D grid. Simple diagnostics and plotting, as well as computation of composite reflectivity, are available.

Posted in: Briefs, Electronics & Computers, Software, Computer software / hardware, Computer software and hardware, Radar, Computer software / hardware, Computer software and hardware, Radar, Weather and climate
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Data Encoding and Parallelization Porting Techniques to Transform Binary Data Formats to Hadoop/MapReduce

Goddard Space Flight Center, Greenbelt, Maryland

The objective of this invention is to transform applications that process big data in arbitrary formats using the MapReduce parallel programming model and executed on the open-source Hadoop platform. Many legacy data-intensive applications do not scale out of a single server. Some applications can load-balance to multicore, but scalability is limited by intensive IO. Hadoop/MapReduce is a massively scalable programming paradigm modeled after Google’s implementation. There are many use cases to show Hadoop/MapReduce can scale linearly to hundreds or even thousands of servers for big data analysis. The problem is how to transparently transform a legacy serial data processing code to take full advantage of Hadoop/MapReduce parallel processing framework.

Posted in: Briefs, Electronics & Computers, Information Sciences, Software, Big data, Computer software / hardware, Computer software and hardware, Big data, Computer software / hardware, Computer software and hardware
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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:

Posted in: Briefs, Electronics & Computers, Information Sciences, Software, Computer software / hardware, Computer software and hardware, Data exchange, Computer software / hardware, Computer software and hardware, Data exchange
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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, Computer software / hardware, Computer software and hardware, Computer software / hardware, Computer software and hardware, Human factors, Disaster and emergency management, Emergency management
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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, Imaging, Imaging and visualization, Neural networks, Imaging, Imaging and visualization, Neural networks
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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, Analysis methodologies, Mathematical models
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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, CAD / CAM / CAE, CAD, CAM, and CAE, Imaging, Imaging and visualization, Imaging, Imaging and visualization, Systems engineering
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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, Computer software / hardware, Computer software and hardware, Data acquisition and handling, Radar, Computer software / hardware, Computer software and hardware, Data acquisition and handling, Radar, Turbulence
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