Results 1 to 10 of about 14,433 (200)

Soft Tissue Deformation Modeling in the Procedure of Needle Insertion: A Kriging-Based Method

Chinese Journal of Mechanical Engineering, 2022
The simulation and planning system (SPS) requires accurate and real-time feedback regarding the deformation of soft tissues during the needle insertion procedure. Traditional mechanical-based models such as the finite element method (FEM) are widely used
Yong Lei, Murong Li, Dedong Gao
doaj   +1 more source

Reliability Analysis of Pyrotechnic Igniter for Hydrogen-Oxygen Rocket Engine with Low Temperature Combustion Instability Failure Mode

Applied Sciences, 2022
To evaluate the functional reliability of the pyrotechnic igniter in the failure mode of unstable combustion at low temperature, a reliability and reliability sensitivity analysis method based on the combination of an interior ballistic model and Kriging
Lei Niu, Yang Liu, Jingcheng Wang, Hongmao Tu, Haiping Dong, Nan Yan   +5 more
doaj   +1 more source

Cokriging Prediction Using as Secondary Variable a Functional Random Field with Application in Environmental Pollution

Mathematics, 2020
Cokriging is a geostatistical technique that is used for spatial prediction when realizations of a random field are available. If a secondary variable is cross-correlated with the primary variable, both variables may be employed for prediction by means ...
Ramón Giraldo, Luis Herrera, Víctor Leiva   +2 more
doaj   +1 more source

Spatial prediction of soil infiltration using functional geostatistics

Acta Universitatis Carolinae Geographica, 2018
The infiltration of water into the soil is a necessary parameter for irrigation systems design. Characterizing its spatial behavior allows a site-specific management of water according to soil conditions and crop requirements. The aim of this study is to
Diego Leonardo Cortes-D, Jesus Hernan Camacho-Tamayo, Ramon Giraldo   +2 more
doaj   +1 more source

On the Effect of Covariance Function Estimation on the Accuracy of Kriging Predictors [PDF]

Bernoulli, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Putter, Hein, Alastair Young, G.
openaire   +3 more sources

Fast Performance Modeling across Different Database Versions Using Partitioned Co-Kriging

Applied Sciences, 2021
Database systems have a large number of configuration parameters that control functional and non-functional properties (e.g., performance and cost). Different configurations may lead to different performance values.
Rong Cao, Liang Bao, Shouxin Wei, Jiarui Duan, Xi Wu, Yeye Du, Ren Sun   +6 more
doaj   +1 more source

Machine learning with systematic density-functional theory calculations: Application to melting temperatures of single and binary component solids [PDF]

, 2014
A combination of systematic density functional theory (DFT) calculations and machine learning techniques has a wide range of potential applications.
Maekawa, Tomoya, Seko, Atsuto, Tanaka, Isao, Tsuda, Koji   +3 more
core   +2 more sources

Advanced Kriging response surface approach for efficient design optimization

Nihon Kikai Gakkai ronbunshu, 2014
In this research, a Gradient-Vector Product (GVP) enhanced Kriging response surface model approach has been developed in which the GVP is defined by the gradient vector of objective function with respect to design variables as well as an arbitral unit ...
Wataru YAMAZAKI
doaj   +1 more source

How many trees to see the forest? Assessing the effects of morphospace coverage and sample size in performance surface analysis

Methods in Ecology and Evolution, 2021
Linking morphology and function is critical to understanding the evolution of organismal shape. Performance landscapes, or performance surfaces, associate empirical functional performance data with a morphospace to assess how shape variation relates to ...
Stephanie M. Smith, C. Tristan Stayton, Kenneth D. Angielczyk   +2 more
doaj   +1 more source

Means and covariance functions for geostatistical compositional data: an axiomatic approach [PDF]

, 2017
This work focuses on the characterization of the central tendency of a sample of compositional data. It provides new results about theoretical properties of means and covariance functions for compositional data, with an axiomatic perspective.
A Kolmogorov, D Billheimer, Denis Allard, DJJ Walvoort, G Mateu-Figueras, H Wackernagel, J Aczél, J Aczél, J Aitchison, J Aitchison, J Aitchison, J Matkowski, JD Helterbrand, JJ Egozcue, JJ Egozcue, JL Scealy, JP Chilès, KL Arrow, N Cressie, P Bogaert, R Tolosana-Delgado, RF Shurtz, RY Liu, Thierry Marchant, V Pawlowksy-Glahn, V Pawlowksy-Glahn, WE Miller, WE Sharp, Y Vardi, Y Zuo   +29 more
core   +3 more sources