Results 21 to 30 of about 6,085,361 (298)

Triple Collocation Analysis for Two Error-Correlated Datasets: Application to L-Band Brightness Temperatures over Land

open access: yesRemote Sensing, 2020
The error characterization of satellite observations is crucial for blending observations from multiple platforms into a unique dataset and for assimilating them into numerical weather prediction models.
Verónica González-Gambau   +6 more
doaj   +1 more source

TanDEM-X PolarDEM 90 m of Antarctica: Generation and error characterization

open access: yes, 2021
. We present the generation and validation of an updated version of the TanDEM-X Digital Elevation Model (DEM) of Antarctica: the TanDEM-X PolarDEM 90 m of Antarctica.
B. Wessel   +10 more
semanticscholar   +1 more source

Inkjet-Printed Temperature Sensors Characterized according to Standards

open access: yesSensors, 2022
This paper describes the characterization of inkjet-printed resistive temperature sensors according to the international standard IEC 61928-2. The goal is to evaluate such sensors comprehensively, to identify important manufacturing processes, and to ...
Jonas Jäger   +5 more
doaj   +1 more source

Robustness and modeling error characterization [PDF]

open access: yesIEEE Transactions on Automatic Control, 1984
Robustness as used in this paper refers to robust stability of a linear control system subject to a specific class of modeling errors. The results presented are an extension of those given earlier by the authors [ibid. AC-26, 75-93 (1981; Zbl 0459.93024)].
Lehtomaki, Norman A.   +5 more
openaire   +2 more sources

SURFACE COMPLEXITY COMPONENT OF LIDAR POINT CLOUD ERROR CHARACTERIZATION [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
There are several data product characterization methods to describe LiDAR data quality. Typically based on guidelines developed by government or professional societies, these techniques require the statistical analysis of vertical differences at known ...
C. Toth, D. Grejner-Brzezinska
doaj   +1 more source

Characterization of analytical errors in thromboelastography interpretation

open access: yesPractical Laboratory Medicine, 2021
Interpretation of Thromboelastography (TEG) curve involves correlating patient's clinical profile with TEG parameters and the tracing, keeping in mind the potential sources of errors, and hence requires expertise. We aimed to analyse the analytical errors in TEG interpretation due to paucity of literature in this regard.The retrospective study was ...
Tapasyapreeti Mukhopadhyay   +3 more
openaire   +3 more sources

Characterization of systematic error in Advanced LIGO calibration [PDF]

open access: yesClassical and quantum gravity, 2020
The raw outputs of the detectors within the Advanced Laser Interferometer Gravitational-Wave Observatory need to be calibrated in order to produce the estimate of the dimensionless strain used for astrophysical analyses.
Ling Sun   +25 more
semanticscholar   +1 more source

Soft Error Characterization on Scientific Applications

open access: yes2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech), 2018
Decreasing transistor sizes, aggressive power optimization techniques and higher operation frequencies lead to increase error rates. While researchers addressed reliable computing, there is still lack of study for providing the fundamental understanding of error propagation. In this work, we characterize error propagation at software level by utilizing
Ozturk, Zuhal   +3 more
openaire   +2 more sources

Efficient error characterization in quantum information processing [PDF]

open access: yesPhysical Review A, 2007
11 pages, 9 ...
Lévi, Benjamin   +3 more
openaire   +2 more sources

Efficient flexible characterization of quantum processors with nested error models

open access: yesNew Journal of Physics, 2021
We present a simple and powerful technique for finding a good error model for a quantum processor. The technique iteratively tests a nested sequence of models against data obtained from the processor, and keeps track of the best-fit model and its ...
Erik Nielsen   +4 more
doaj   +1 more source

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