Results 241 to 250 of about 6,085,361 (298)

Errors Characterization of a RANS Simulation

Journal of Verification, Validation and Uncertainty Quantification, 2021
Abstract This research uses data from direct numerical simulation (DNS) to characterize the different errors associated with a Reynolds-averaged Navier–Stokes (RANS) simulation. The statistics from DNS (Reynolds stresses, kinetic energy of turbulence, κ, and dissipation of turbulence, ε), are fed into a RANS simulation with the same ...
Hugo D. Pasinato, Ezequiel A. Krumrick
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Vehicle Lateral Dynamics-Inspired Hybrid Model Using Neural Network for Parameter Identification and Error Characterization

IEEE Transactions on Vehicular Technology
Autonomous vehicle requires a high-precision lateral dynamics model for path following and lateral stability control. However, existing physical models suffer from low accuracy due to modeling simplification and inaccurate model parameters, while data ...
Zhisong Zhou, Yafei Wang, Guofeng Zhou, Xulei Liu, Mingyu Wu, Kunpeng Dai   +5 more
semanticscholar   +1 more source

Characterization of errors in compositing panoramic images

Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1999
A panoramic image has a 360° horizontal field of view, and it can provide the viewer the impression of being immersed in the scene. A panorama is created by first taking a sequence of images while rotating the camera about a vertical axis. These images are then projected onto a cylindrical surface before being seamlessly composited. The cross-sectional
Sing Bing Kang, Richard Weiss
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Inertial Instrument Error Characterization

Navigation, 2007
: Dependence of inertial instrument errors on forces and rotations acting on a strapdown IMU is well-known. With the same motions affecting many error sources it is obviously inaccurate to ignore these interactions. Although this fact is likewise well known, the implications need to be confronted industry-wide.
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Automatic characterization of user errors in spirometry

2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Spirometry plays a critical role in characterizing and improving outcomes related to chronic lung disease. However, patient error in performing the spirometry maneuver, such as from coughing or taking multiple breaths, can lead to clinically misleading results.
Andrew Z, Luo, Eric, Whitmire, James W, Stout, Drew, Martenson, Shwetak, Patel   +4 more
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Statistical Characterization of PMU Error for Robust WAMS Based Analytics

IEEE Transactions on Power Systems, 2020
Synchronized phasor measurement unit (PMU) data contain rich information about power systems, hence the quality of estimates is of utmost concern.
Tabia Ahmad, N. Senroy
semanticscholar   +1 more source

Airborne Antenna and Multipath Error Characterization for DFMC Error Standardization

ION GNSS+, The International Technical Meeting of the Satellite Division of The Institute of Navigation, 2019
The current increase in the number of available satellites from different constellations as well as in the number of satellites emitting signals at multiple frequency bands is promising to strongly increase the positioning performance of satellite navigation receivers.
Caizzone, Stefano, Circiu, Mihaela-Simona, Elmarissi, Wahid, Enneking, Christoph, Winterstein, Andreas   +4 more
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Experimental Evaluation of NISQ Quantum Computers: Error Measurement, Characterization, and Implications

International Conference for High Performance Computing, Networking, Storage and Analysis, 2020
Noisy Intermediate-Scale Quantum (NISQ) computers are being increasingly used for executing early-stage quantum programs to establish the practical realizability of existing quantum algorithms.
Tirthak Patel, Abhay Potharaju, Baolin Li, Rohan Basu Roy, Devesh Tiwari   +4 more
semanticscholar   +1 more source

Use of error management theory to quantify and characterize residents’ error recovery strategies

The American Journal of Surgery, 2020
Traditional checklist metrics for surgical performance can miss key intraoperative decisions that impact procedural outcomes. Error-based assessments may help identify important metrics for evaluating operative performance and resident readiness for independent practice.This study utilized human factors error analysis and error management theory to ...
Carla M, Pugh, Katherine E, Law, Elaine R, Cohen, Anne-Lise D, D'Angelo, Jacob A, Greenberg, Caprice C, Greenberg, Douglas A, Wiegmann   +6 more
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Mean Sea Surfaces errors characterization

2016
For non repeat missions, the Mean Sea Surface significantly contributes to the altimetric error budget. With HY2A and Altika now on drifting orbits, and the successful launch of Sentinel3-A on a new ground track, the knowledge of this error become crucial for ocean applications (eg CMEMS Sea Level products).
Pujol, Marie Isabelle, Dibarboure, Gérald, Raynal, Matthias, Dufau, Claire, Faugère, Yannice, Guillot, Amandine, Picot, Nicolas   +6 more
openaire   +1 more source