Special Coverage

Self-Healing Wire Insulation
Thermomechanical Methodology for Stabilizing Shape Memory Alloy (SMA) Response
Space Optical Communications Using Laser Beams
High Field Superconducting Magnets
Active Response Gravity Offload and Method
Strat-X
Sonar Inspection Robot System
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Synchronization and Visualization of Arbitrary Streams (SAVORS)

Ames Research Center, Moffett Field, California The purpose of SAVORS is to supercharge the command-line tools already used by administrators with powerful visualizations that help them understand the output much more rapidly and with far greater scalability across systems. SAVORS not only supports the output of existing commands, but does so in a manner consistent with those commands by combining the line-editing capabilities of vi, the rapid window manipulation of GNU screen, the power and compactness of Perl expressions, and the elegance of UNIX pipelines.

Posted in: Briefs, Electronics & Computers, Software

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Using a Moderate Ionospheric Storm Detector to Improve WAAS Availability

NASA’s Jet Propulsion Laboratory, Pasadena, California The Wide Area Augmentation System (WAAS) broadcasts information that allows users to bound the positioning error that arises from ionospheric delay of signals emitted by Global Positioning System satellites. A critical objective of WAAS is to make ionospheric grid delays (IGDs) and grid ionospheric vertical errors (GIVEs) available to users as often as possible.

Posted in: Briefs, Electronics & Computers, Software

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JLAB Tracking Tool (JTRAK)

Goddard Space Flight Center, Greenbelt, Maryland The JLAB Tracking Tool (JTRAK) is a Web-enabled database tool designed to automate the tracking of James Webb Space Telescope (JWST) Integrated Ground Support System (IGSS) and Integrated Test Support System (ITSS) configured items. These configured items consist of IGSS and ITSS equipment and materials; hardware and software revisions including patch releases of the Science Instrument Development Units (SIDUs) and the Science Instrument Test Sets (SITS); ground lab COTS software license versions and maintenance schedules; and other miscellaneous documents.

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

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Orbital Mechanics Simulation Program for Educational Outreach

Langley Research Center, Hampton, Virginia AJava software program was developed that provides a solar system simulation, demonstrating the application of calculus to understanding and modeling how the real universe operates. The program can be modified by the user to study various changes in physical properties, and software implementations on behavior.

Posted in: Briefs, Electronics & Computers, Software

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Educational Software for OctaSat Nanosatellite Training Kit

Langley Research Center, Hampton, Virginia Nanosatellites are very small satellites that can conduct various space missions using microelectronics, primarily in near-Earth orbits. Aerospace engineering students need to learn about the working principles and control of nanosatellites. However, the cost of an actual nanosatellite system is very expensive and is not suitable for an engineering college-level education. Therefore, this simplified classroom-based simulation kit for nanosatellite was developed, named OctaSat.

Posted in: Briefs, Electronics & Computers, Software

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Discovery Through Eigenbasis Modeling of Uninteresting Data

The system learns only what to ignore, reducing the possibility of missing the items of interest. NASA’s Jet Propulsion Laboratory, Pasadena, California When presented with a new data set, a common initial goal is to explore its contents in a discovery mode to find items of interest. However, each user who views the data set may have a different scientific goal in mind, and therefore a different desired prioritization of the items for examination. Further, as the users explore more of the data set, they accumulate concrete examples of what is or is not of interest. The goal of this work was to formalize this iterative approach to understanding large data sets, and instantiate it with methods capable of the necessary adaptation as the system iteratively acquires user feedback.

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

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Obstacle Avoidance Methods

NASA’s Jet Propulsion Laboratory, Pasadena, California Obstacle avoidance is a difficult problem due to the non-convex state constraints. Therefore, the feasible state space needs to be convexified, or split, into convex regions at which point the search for an optimal solution among those convex regions is done. Methods for obstacle avoidance include two mixed integer linear programming (MILP) methods (obstacle related method and path-related method) and a state-constraint convexification method.

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

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