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Portable Resting State Detection System Using Functional Near-Infrared Spectroscopy

Langley Research Center, Hampton, Virginia The ability to distinguish between high and low levels of task engagement is important for detecting and preventing performance decrements during safety-critical operational tasks in the real world. Examples of such tasks include commercial aviation, monitoring for air traffic control, executing spacewalks, performing surgery, and driving. Since accident-causing errors can be made even by skilled professionals, the ability to monitor cognitive state measures for low levels of task engagement in real time could be useful for developing an “early warning system” for detecting and preventing performance errors before they occur.

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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

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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

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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

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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

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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

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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

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