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Global Elevation Data Adaptive Compression Algorithms

These algorithms can be used in applications requiring large databases of graphical information that are deployed via restricted environments, such as tablets and smartphones. Armstrong Flight Research Center, Edwards, California The Global Elevation Data Adaptive Compression Algorithms (GEDACA) were developed to provide compression and rapid decompression of digital terrain maps (DTMs) in constrained computing environments. The primary purpose of these algorithms is to create and utilize highly compressed digital terrain data representing the geographical areas of the entire world to enable Automatic Ground Collision Avoidance Systems (Auto-GCAS) for high-performance fighter aircraft. The data is formatted to be accessible anywhere in the world in real time, and also allows for control of data resolution to support the complete range of high-performance aircraft operations. Other uses include applications that require large databases of graphical information and are deployed via restricted environments, such as tablets and smartphones.

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

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Cassini Science Planning and Sequencing Team Final Sequence Approval Document Generator (Autodoc)

NASA’s Jet Propulsion Laboratory, Pasadena, California Documents, such as reports that are consistent in format, are excellent candidates for automation. Autodoc was designed as a means to automate such reports in order to reduce the amount of labor necessary to produce reports, and to improve the accuracy of the reports.

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

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Exploration Visualization Environment

New user interface is designed to provide a more consistent look and feel for data entry, and a single hierarchy display for traversing the scene. Langley Research Center, Hampton, Virginia The Exploration Visualization Environment (EVE) is a graphical environment for the visualization, analysis, and simulation of engineering data, specializing in aerospace and aeronautic concepts. EVE is based on the history and successful application of the Synergistic Engineering Environment (SEE) and provides much of the same capabilities. These include integration of time-dependent data with detailed graphical models, enhanced user navigation and time controls, synchronized display of data with simulation playback, and cross-platform support of Windows and Linux.

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Mississippi Evacuation and Traveler’s Assistance (MSETA) Software

Stennis Space Center, Mississippi The Mississippi Evacuation and Traveler’s Assistance (MSETA) system provides public assistance for emergency evacuation and tourism/travel. The MSETA system is composed of three major components: (1) a Web server that provides an interface to the public, (2) a GIS/backend server that retrieves data from multiple sources, and (3) a database server to store the data.

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Cloud Computing for Science Data Processing in Support of Emergency Response

The new package can be quickly deployed on a cloud computing platform only for as long as processing of the time series data is required. Stennis Space Center, Mississippi In a crisis, up-to-date information is one of the most important commodities for decision-makers. Remote sensing data have been instrumental in regional scale damage detection and recovery progress monitoring after significant disasters. However, using remotely sensed data to support an emergency response requires not only the availability of hardware, software, and manpower to process and analyze the data, but also the time to stage the datasets that are required for analyses. Additionally, the volume of remote sensing data that needs to be processed to detect temporal changes accurately in a terrestrial or oceanic ecosystem can easily exceed several terabytes, even for a small region. This is because emergency response requires the use of well-calibrated remotely sensed data products, like those that are generated by the MODIS (Moderate Resolution Imaging Spectroradiometer) Adaptive Processing System (MODAPS). These data sets are stored and distributed by the Level 1 and Atmosphere Archive and Distribution System (LAADS), both located at Goddard Space Flight Center (GSFC), and are necessary to create the custom data products that are needed and used for emergency management situations. Generally, the MODIS datasets are downloaded from GSFC, stored at the user’s facility, and then processed locally. This approach is standardly used by researchers worldwide.

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Simulating Images of a Rising or Setting Sun

NASA’s Jet Propulsion Laboratory, Pasadena, California This software simulates Sun images observed on the ground and from space with an easy-to-use analytical approach and with high accuracy. It is a simple, analytical approach with the accuracy of a rigorous, multilayer model. The existing analytical approach cannot predict when the image of the Sun is blocked by the surface of the Earth, but the current approach can.

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Partition Level Application Test for Orion (PLATO)

Lyndon B. Johnson Space Center, Houston, Texas For Orion Exploration Flight Test One (EFT-1), the unit-under-test for flight software verification has been chosen as the entire integrated flight software load. At the time of this reporting, the unit test tool, while powerful, operates on very small units, usually classes. This leaves a sizable gap between unit testing and verification. Orion flight software is divided into ARINC 653 partitions, and partition level testing is in this large gap.

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