Results 21 to 30 of about 533,825 (262)

The estimation of truncation error by τ-estimation revisited [PDF]

Journal of Computational Physics, 2012
The aim of this paper was to accurately estimate the local truncation error of partial differential equations, that are numerically solved using a finite difference or finite volume approach on structured and unstructured meshes. In this work, we approximated the local truncation error using the @t-estimation procedure, which aims to compare the ...
Fraysse, François, Vicente Buendia, Javier de, Valero Sánchez, Eusebio   +2 more
openaire   +3 more sources

Baroreflex Sensitivity Assessment Using the Sequence Method with Delayed Signals in End-Stage Renal Disease Patients

Sensors, 2022
Impaired baroreflex sensitivity (BRS) is partially responsible for erratic blood pressure fluctuations in End-Stage Renal Disease (ESRD) patients on chronic hemodialysis (HD), which is related to autonomic nervous dysfunction.
Marisol Martinez-Alanis, Martín Calderón-Juárez, Paola Martínez-García, Gertrudis Hortensia González Gómez, Oscar Infante, Héctor Pérez-Grovas, Claudia Lerma   +6 more
doaj   +1 more source

Combinational Randomized Response Mechanism for Unbalanced Multivariate Nominal Attributes

IEEE Access, 2020
At present, many enterprises provide users with better services by collecting their sensitive information. However, these enterprises will inevitably cause the leakage of users' information, thereby infringing on users' privacy.
Xuejie Feng, Chiping Zhang, Jing Li, Linlin Dai   +3 more
doaj   +1 more source

TUNER-compliant error estimation for MIPAS: methodology [PDF]

Atmospheric Measurement Techniques, 2022
This paper describes the error estimation for temperature and trace gas mixing ratios retrieved from the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) limb emission spectra.
T. von Clarmann, N. Glatthor, U. Grabowski, B. Funke, M. Kiefer, A. Kleinert, G. P. Stiller, A. Linden, S. Kellmann   +8 more
doaj   +1 more source

AgileSAR: Achieving Wide-Swath Spaceborne SAR Based on Time-Space Sampling

IEEE Access, 2019
High resolution and wide swath, which are related to imaging quality and observation efficiency, are the key specifications for spaceborne synthetic aperture radar (SAR).
Ze Yu, Wenjiao Chen, Peng Xiao, Chunsheng Li   +3 more
doaj   +1 more source

Accurate error estimation in CG [PDF]

Numerical Algorithms, 2021
In practical computations, the (preconditioned) conjugate gradient (P)CG method is the iterative method of choice for solving systems of linear algebraic equations $Ax=b$ with a real symmetric positive definite matrix $A$. During the iterations it is important to monitor the quality of the approximate solution $x_k$ so that the process could be stopped
Gérard Meurant, Jan Papez, Petr Tichý
openaire   +3 more sources

Decentralized Fuzzy Observer-Based Fault Estimation for Nonlinear Large-Scale Systems

IEEE Access
This paper presents a fault estimation technique based on the decentralized fuzzy observer for nonlinear large-scale systems, which are considered to be consisted of fuzzy subsystems and uncertain interconnections.
Geun Bum Koo
doaj   +1 more source

Speed Control of Permanent Magnet DC Motor with Friction and Measurement Noise Using Novel Nonlinear Extended State Observer-Based Anti-Disturbance Control

Energies, 2019
In this paper, a novel finite-time nonlinear extended state observer (NLESO) is proposed and employed in active disturbance rejection control (ADRC) to stabilize a nonlinear system against system’s uncertainties and discontinuous disturbances using
Amjad J. Humaidi, Ibraheem Kasim Ibraheem   +1 more
doaj   +1 more source

Observer canonical form based robust fault detection and estimation for hyperbolic spatiotemporal dynamic systems

IET Cyber-systems and Robotics, 2020
In this study, the authors propose a novel state and a fault estimation scheme for a class of hyperbolic spatiotemporal dynamic systems in the presence of unknown external disturbance.
Xiaodong Xu, Yuncheng Du, Stevan Dubljevic   +2 more
doaj   +1 more source

Information-Corrected Estimation: A Generalization Error Reducing Parameter Estimation Method

Entropy, 2021
Modern computational models in supervised machine learning are often highly parameterized universal approximators. As such, the value of the parameters is unimportant, and only the out of sample performance is considered.
Matthew Dixon, Tyler Ward
doaj   +1 more source