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Lunar Cold Trap Contamination by Landing Vehicles

Software and methods are developed to assess the magnitude and distribution of lunar surface contamination caused by the engine exhaust of a landing vehicle. John F. Kennedy Space Center, Florida The emerging interest in lunar mining poses a threat of contamination to pristine craters at the lunar poles, which act as cold traps for water, and may harbor other valuable minerals. Lunar Prospector type missions will be looking for volatile (molecular) compounds that may be masked by the exhaust gases from landing vehicle engines. The possible self-contamination of the landing site could negate the scientific value of the soil samples taken in the vicinity of the landing site. Self-contamination may also lead to false-positive readings of resources available on the lunar surface. This innovation addresses the software and methods needed to assess the magnitude and distribution of lunar surface contamination caused by the engine exhaust of landing vehicles on known or planned descent trajectories.

Posted in: Briefs, TSP

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Visualization of Terascale Datasets with Imposters

Goddard Space Flight Center, Greenbelt, Maryland The interactive visualization of large astrophysical datasets is a formidable challenge. Cosmological simulations performed on current terascale facilities typically generate datasets up to 100 gigabytes in size. In order to understand the complex three-dimensional structure within these simulations, interactive visualization with rapid rotation and zooming is required, but handling this much data is well beyond the capability of even current high-end graphics workstations. Rendering can be performed on a parallel computer, but the user typically is using such facilities remotely. Both the latency and bandwidth between the user’s workstation and the parallel machine preclude the possibility of interactive rendering.

Posted in: Briefs, TSP, Mathematical/Scientific Software

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Transforming DAVE-ML Models to Executable C/C++

Lyndon B. Johnson Space Center, Houston, Texas DMLtoC.xsl is an XSLT (Extensible Stylesheet Language Transformations) transform that converts a vehicle model described in DAVE-ML (an XML markup language) into a “C” language version of the same model. DAVE-ML is a markup language for describing aerodynamic vehicle models. A DAVE-ML representation of an aero-model is composed of elements and sub-elements that describe variables, variable initialization, mathematical expressions for calculating variable values, interpolation functions, and break-point values. The DMLtoC.xsl XSLT transform transforms a DAVE-ML description of an aerodynamic model into executable C code by transforming each of the model elements, as appropriate, into C/C++ variable declarations, variable initializers, assignment statements, function calls, and interpolation data structures while preserving the corresponding relationships between these elements.

Posted in: Briefs, TSP

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Delay Tolerant Networking Contact Graph Routing MACHETE Model

NASA’s Jet Propulsion Laboratory, Pasadena, California This simulation environment of Contact Graph Routing that uses the QualNet network simulator leverages the previously developed space communication models. This software models the Contact Graph Routing (CGR) system proposed for future NASA missions and used in DINETl and DINET2 experiments. It runs inside the QualNet network simulator. This protocol model can assist NASA network designers who wish to use Delay Tolerant Networking protocols with Contact Graph Routing.

Posted in: Briefs, TSP

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JavaGenes Data Optimization

Ames Research Center, Moffett Field, California JavaGenes is a general-purpose software program that implements several different data optimization techniques. The program is intended for problems that have no gradient, comparing genetic algorithms with stochastic hill climbing and simulated annealing to generate optimal design solutions. JavaGenes can create many different data structures, and describe problems in a variety of ways.

Posted in: Briefs, TSP, Mathematical/Scientific Software, Simulation Software

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Multivariate Time Series Search Capability to Identify Complex Patterns in Large Datasets

Ames Research Center, Moffett Field, California There exist many datasets that can be viewed as multivariate time series, such as the daily high temperature at a locality, sensor recordings in diagnostic systems and scientific data, and music and video recordings. These time series reside in large repositories, and there is often a need to search for particular time series exhibiting certain types of behaviors. Many current approaches to time series search are too slow on large repositories, or constrain the range of possible queries.

Posted in: Briefs, Data Acquisition, Mathematical/Scientific Software

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NGDCS Linux Application for Imaging-Spectrometer Data Acquisition and Display

NASA’s Jet Propulsion Laboratory, Pasadena, California A simple method of controlling recording and display of imaging spectrometer data in (airborne) flight was needed. Existing commercial packages were overly complicated, and sometimes difficult to operate in a bouncing plane. The software also was required to keep up with the imaging data rate, while still running on commodity hardware and a desktop operating system. Finally, the software needed to be as robust as possible — repeating a flight because of lost data is sometimes impossible, and always expensive.

Posted in: Briefs, Displays/Monitors/HMIs, Data Acquisition

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