Special Coverage

Iodine-Compatible Hall Effect Thruster
Precision Assembly of Systems on Surfaces (PASS)
Development of a Novel Electrospinning System with Automated Positioning and Control Software
2016 Create The Future Design Contest Open For Entries
Clamshell Sampler
Shape Memory Alloy Rock Splitter
Deployable Extra-Vehicular Activity Platform (DEVAP) for Planetary Surfaces
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Robot Simulation Software Lets NASA Study Conditions on Planetary Surfaces

Actin™ robot control and simulation software Energid Technologies Cambridge, MA 617-401-7090 www.energid.com For obvious reasons, conditions on lunar and planetary surfaces can understandably be hard to duplicate physically, even in the best case when they are well understood, if only from a distance. This makes digital simulations an essential tool during mission planning and development. Simulation can be used to study the effects of changes in terrain, lighting, reflectance, and other environmental factors on mission success.

Posted in: Application Briefs, Simulation Software

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Automated Generation of Failure Modes and Effects Document from a Simple SysML Model

NASA’s Jet Propulsion Laboratory, Pasadena, California This software queries a model of system in the MagicDraw program and uses that information to create an Excel spreadsheet that represents a basic FMEA (Failure Modes and Effects Analysis). It automates the generation of an FMEA; the user only has to open MagicDraw, then run this plugin to produce an Excel spreadsheet.

Posted in: Briefs, TSP, Electronic Components

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Space Network Access System (SNAS)

Goddard Space Flight Center, Greenbelt, Maryland SNAS is a single, universally accessible, standards-based, full-featured customer interface for performing Tracking and Data Relay Satellite System (TDRSS) planning, scheduling, and real-time service monitoring and control. It consolidates functionality of multiple legacy customer interface systems into a single system, and is the primary access system for managing TDRSS resources.

Posted in: Briefs, TSP, Electronic Components

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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

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NASA App

Ames Research Center, Moffett Field, California The NASA App showcases a huge collection of the latest NASA content in a mobile optimized format, including images, videos on-demand, NASA Television, mission information, news and feature stories, tweets, ISS sighting opportunities, satellite tracking, Third Rock Radio, featured educational content, and much more for iOS and Android devices.

Posted in: Briefs

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Program to Categorize and Count Observations Performed by the Mars Reconnaissance Orbiter

NASA’s Jet Propulsion Laboratory, Pasadena, California CreateMEPReport.pl software is designed to read through a description of observations scheduled to be taken by the instruments onboard the Mars Reconnaissance Orbiter (MRO) spacecraft to categorize the observations, and then present totals for the categories by instrument. Previously, this function was done in a spreadsheet, but this was prone to error and was extremely complicated.

Posted in: Briefs

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Anomaly Detection in Large Sets of High-Dimensional Symbol Sequences (sequenceMiner)

Ames Research Center, Moffett Field, California SequenceMiner was developed to address the problem of detecting and describing anomalies in large sets of high-dimensional symbol sequences. sequenceMiner works by performing unsupervised clustering (grouping) of sequences using the normalized longest common subsequence (LCS) as a similarity measure, followed by a detailed analysis of outliers to detect anomalies. sequenceMiner utilizes a new hybrid algorithm for computing the LCS that has been shown to outperform existing algorithms by a factor of five. sequenceMiner also includes new algorithms for outlier analysis that provide comprehensible indicators as to why a particular sequence was deemed to be an outlier. This provides analysts with a coherent description of the anomalies identified in the sequence, and why they differ from more normal sequences.

Posted in: Briefs

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