A Vehicle Management End-to-End Testing and Analysis Platform for Validation of Mission and Fault Management Algorithms to Reduce Risk
No abstract available
Trevino, Luis↗
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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Hyperspectral Data Processing: an Opportunity for End-To-End Processing
The evolution and improvements in hyperspectral instrumentation are being matched by information technology improvements in science data processing and analysis. Research has improved techniques in both onboard and ground-based processing to support other high data volume instruments. Algorithms and hardware have evolved, permitting faster access to the observations. Cloud computing is taking the algorithms to the data. Technologies are being specifically designed to address high volume data sets and are an investment in the improvement of hyperspectral data processing.
science data processing↗
Evolution of the Mars Relay Network End-to-End Information System in the Mars Human Era (2030-2040)
In order to help the reader understand this evolution from the current to the future MRN state in the Mars human era, we will provide a description of the current communication infrastructure supporting Mars mission users, and how we envision it to change in order to meet the needs and challenges of supporting both human and robotic communication by 2030-2040. This includes the introduction of new data types like audio and video, and new in-situ relay services for communications and navigation services.
Kazz, Greg J.↗
Evolution of the Mars Relay Network End-To-End Information System in the Mars Human Era (2016-2040)
In order to help the reader understand this evolution from the current to the future MRN state in the Mars human era, we will provide a description of the current communication infrastructure supporting Mars mission users, and how we envision it to change in order to meet the needs and challenges of supporting both human and robotic communication by 2030-2040. This includes the introduction of new data types like audio and video, and new in-situ relay services for communications and navigation services.
Kazz, Greg↗
End-To-End Machine Learning Applications Framework for Earth Science
No abstract available
Freitag, Brian↗
End-To-End System Level Trade Considerations for Deep Space PV Systems
No abstract available
Carr, Greg↗
End to End Simulation of the Mars 2020 Rover Mobility Deployment and Touchdown
No abstract available
Lih, Shyh-Shiuh Mike↗
End-to-End Machine Learning Applications Framework for Earth Science
No abstract available
Freitag, Brian↗
End-to-End Assessment of SLS Artemis-1 Pogo Development Flight Instrumentation
Explore the source record for details and available documents.
Andrew Doan↗
End-to-End Assessment of SLS Artemis-1 Pogo Development Flight Instrumentation
Explore the source record for details and available documents.
Andrew Doan↗
Advanced End-To-End Simulation For On-Board Processing (AESOP)
Developers of data compression algorithms typically use their own software together with commercial packages to implement, evaluate and demonstrate their work. While convenient for an individual developer, this approach makes it difficult to build on or use another's work withou intimate knowledge of each component.
interface↗
End-to-End System Consideration of the Galileo Image Compression System
In this article we describe the image compression scheme of the Galileo spacecraft and other downstream signal processing algorithms that enable efficient and robust transmission of data to Earth.
downstream↗
The SIM Science Data Center Prototype: An Integral Element of the SIM End-to-End Testbed
The Space Interferometry Mission (SIM) will be the first flight of an optical interferometer where the scientific return is co-equal with technology development objectives.
Space↗
ECOSTRESS end-to-end radiometric validation
The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) will measure the brightness temperature (BT) of plants from the space station. This information will be used to generate products such as evapotranspiration (ET) over an effective diurnal cycle to better understand how much water plants need and how they respond to stresses (i.e. lack of water, sun, nutrients).
Lum, Karen T.↗