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High Field Superconducting Magnets
Active Response Gravity Offload and Method
Strat-X
Sonar Inspection Robot System
Lightweight Internal Device to Measure Tension in Hollow- Braided Cordage
System, Apparatus, and Method for Pedal Control
Dust Tolerant Connectors
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Predicting Magnetospheric Relativistic >1 MeV Electrons

NASA’s Jet Propulsion Laboratory, Pasadena, California There is an association between High-Intensity Long-Duration Continuous AE (HILDCAA) activity intervals and the acceleration of relativistic >1 MeV electrons in the magnetosphere. All of the HILDCAAs that occurred in solar cycle 23 (SC23) from 1995 to 2008 led to the acceleration of E>0.6 MeV, >2.0 MeV, and >4.0 MeV electrons in the Earth’s outer radiation belts. What is particularly noteworthy is that the E>0.6 MeV electron acceleration was delayed ~1.0 day after the onset of the HILDCAA event, the E>2.0 MeV electrons delayed ~1.5 days after the onset of the HILDCAA event, and the E>4.0 MeV electrons delayed ~2.5 days after the onset of the HILDCAA event.

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Optimal Prioritized Actuator Allocation

This allocation could improve the safety and autonomy of missions where it is critical to match torque first to minimize disturbances to spacecraft pointing. NASA’s Jet Propulsion Laboratory, Pasadena, California For formation flying, rendezvous and docking, and proximity operations with small bodies of the solar system, spacecraft require simultaneous translational and rotational agility. The necessary agility is generally provided by combinations of multiple small thrusters and torque-only actuators. To use these actuators, an onboard control system first calculates desired forces and torques that cause a spacecraft to follow a desired trajectory. Then the commanded forces and torques are turned into individual commands to specific actuators such that the combined action of all the actuators realizes as closely as possible the commanded forces and torques. This problem is referred to as actuator (or control) allocation.

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Terrain Model Registration

Model registration solves target tracking and target handoff problems. Ames Research Center, Moffett Field, California This technology is a method for registration of terrain models created using stereovision on a planetary rover. Most 3D model registration approaches use some variant of iterated closest point (ICP), which minimizes a norm based on the distances between corresponding points on an arbitrary 3D surface where closest points are taken to be corresponding points. The approach taken here instead projects the two surface models into a common viewpoint, rendering the models as they would be seen from a single range sensor. Correspondence is established by determining which points on the two surfaces project to the same location on the virtual range sensor image plane. The norm of the deviations in observed depth at all pixels is used as the objective function, and the algorithm finds the rigid transformation, which minimizes the norm. This recovered transformation can be used for visual odometry, rover pose estimation, and feature handoff.

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Error Budget for Pointing at Surface Features From Close Range

NASA’s Jet Propulsion Laboratory, Pasadena, California Traditional error budgets that characterize pointing capability in terms of a single radial angle lack sufficient information to support analysis of pointing error in terms of distance along a nearby surface.

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Traceable Automation with Remote Display and Interruptible Scheduler Version 1.04.0

Many complex procedures can be completed more quickly, under controlled conditions, and without human intervention or error. NASA’s Jet Propulsion Laboratory, Pasadena, California Traceable Automation with Remote Display and Interruptible Scheduler (TARDIS) is a software set designed for use in ground operations. TARDIS is a multi-mission automation framework that supports seamless integration of manual and automatic processing. It was developed to automate mission design and navigation (MDN) procedures, but is general enough to automate many other kinds of procedures as well. It allows users to define the tasks to run and the circumstances under which to run them. Thereafter, TARDIS watches the entire host computer and automatically runs the corresponding tasks as conditions change. It also watches the tasks as they run and logs their results. It provides a graphical user interface (GUI) front end, so users can monitor and control system state and task progress from any Web browser. As a result, many complex procedures can be completed more quickly, under controlled conditions, and without human intervention or error.

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Java Pathfinder (JPF) Core System

Ames Research Center, Moffett Field, California The JPF Core System is a framework to analyze and verify Java bytecode programs. The major component of JPF core is an extensible and runtime-configurable virtual machine (VM) that can be customized with runtime components such as specific instruction sets and plug-ins to observe program execution. The JPF core can store and restore program states, and comes with a configuration that constitutes a standalone software model checker that can be used to detect and analyze concurrency defects in Java applications like deadlocks or data race conditions.

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Single Doppler Retrieval Toolkit (SingleDop)

Marshall Space Flight Center, Alabama Single-Doppler retrieval of low-level, two-dimensional winds is desired to compare ground radar wind retrievals to satellite scatterometer wind retrievals. This needs to be integrated within the growing collection of open-source radar tools maintained by the Python Atmospheric/Ocean Sciences (PyAOS) community. SingleDop is a software module written in Python that retrieves 2D, low-level winds from either real or simulated Doppler radar data.

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