Special Coverage

Supercomputer Cooling System Uses Refrigerant to Replace Water
Computer Chips Calculate and Store in an Integrated Unit
Electron-to-Photon Communication for Quantum Computing
Mechanoresponsive Healing Polymers
Variable Permeability Magnetometer Systems and Methods for Aerospace Applications
Evaluation Standard for Robotic Research
Small Robot Has Outstanding Vertical Agility
Smart Optical Material Characterization System and Method
Lightweight, Flexible Thermal Protection System for Fire Protection
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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, Computer software and hardware, Collision avoidance systems

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Control Software for Integrated CW Radar Module

This software controls the behavior of a miniaturized microwave radar module. It controls the hardware, digitizes raw samples from the analog output of the module, and applies DSP (digital signal processing) algorithms to the data stream to reduce the bandwidth and data rate. It also implements an automatic calibration algorithm to adjust the I/Q (in-phase and quadrature) values in the cancellation path to remove a large unchanging signal. The software implements a variety of commands to control the behavior of the system, and provides for synchronization of multiple modules. It encodes the digital data in a format suitable for serial ports.

Posted in: Briefs, TSP, Electronics & Computers, Information Sciences, Software, Computer software and hardware, Radar

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An Empirical Metric of Individual Datapoint Utility Given Ample Metadata as Applied to the OCO-2 Flight System

This method constructs new warn levels for metadata-rich data sources. NASA’s Jet Propulsion Laboratory, Pasadena, California Traditionally, quality flags provided a binary yes/no estimation of a datapoint’s utility. However, in modern instrumentation, significant auxiliary information for each datapoint can be obtained. This permits prediction of more than a binary estimate of good or bad data. Further, the physical confounding forces that obscure an observation’s utility are themselves rarely binary, such as the example of clouds with varying thickness from insignificant to entirely opaque. In this method, many different increasingly stringent filters are created allowing less and less data through, while attempting to minimize an error metric. This metric can be compared with select “truth” systems such as ground observations or regions of the Earth where the truth is believed to be predictable and known. For each sounding, the number of these filters that reject the observation in question becomes an estimate of its data quality: larger values mean most filters reject the sounding, while smaller values mean most filters accept the sounding. This integer, ranging from 0 to 19, is called the Warn Level. Instead of a binary yes/no data quality flag, this instead provides a data ordering paradigm with “better” and “worse” data. Warn Levels can be developed for any metadata-rich datasource with a functional error metric to help guide researchers to superior, tunable data filtration.

Posted in: Briefs, TSP, Electronics & Computers, Information Sciences, Software, Computer software and hardware, Data management

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Gravitational Compensation Onboard a Comsat

NASA’s Jet Propulsion Laboratory, Pasadena, California This technique for compensating the gravitational attraction experienced by a test-mass freely floating onboard a satellite is new, and solves an important problem that all gravitational wave missions face. Its application to the geostationary Laser Interferometer Space Antenna (gLISA) mission concept addresses and completely solves an important noise source: the gravity-gradient noise.

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

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AMMOS-PDS Pipeline Service (APPS) — Label Design Tool (LDT)

NASA’s Jet Propulsion Laboratory, Pasadena, California A software program builds PDS4 science product label (metadata) and automatically generates its description as part of the software interface specification (SIS) document. This software allows the mission system engineer to interact programmatically with the PDS4 information model, and retrieve science product metadata information via graphical user interfaces (GUIs). This capability will greatly improve the processes of creating and generating software interface specification documents for science instruments. Given that PDS4 is a newly defined standard, most of the work that is simplified by this software suite is being done manually. This improvement allows the definition and design of PDS4 science data archive models for generating PDS4 compliant labels.

Posted in: Briefs, TSP, Electronics & Computers, Information Sciences, Software, Computer software and hardware, Data acquisition, Data acquisition (obsolete), Test equipment and instrumentation

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Ontological System for Context Artifacts and Resources (OSCAR)

NASA’s Jet Propulsion Laboratory, Pasadena, California Current data systems catalog and link data using a synthetic modeling approach that requires much domain knowledge in order to interact with the system. Domain knowledge includes what keyword to look for and how data artifacts are linked. OSCAR offers a semantic solution to data management by using ontology and reasoning. Information is automatically linked according to its internal ontology. An internal ontological reasoning engine handles information inference. Artifacts are linked by information mined from the input metadata and reasoned according to the internal ontology.

Posted in: Briefs, TSP, Electronics & Computers, Information Sciences, Software, Simulation and modeling, Data management

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SPSCGR

NASA’s Jet Propulsion Laboratory, Pasadena, California SPSCGR generates a contact graph suitable for use by the ION (Interplanetary Overlay Network) DTN (Delay/Disruption Tolerant Network) implementation from data provided by the JPL SPS (Service Preparation System) Portal. Prior to SPSCGR, there was no way for a mission or other entity to route DTN traffic across the DSN without manually constructing a contact graph. SPSCGR automates this process of contact graph construction.

Posted in: Briefs, TSP, Electronics & Computers, Information Sciences, Software, Computer software and hardware, Data management

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