Results 21 to 30 of about 701,150 (283)

Micro Injection Moulding Process Parameter Tuning [PDF]

open access: yesProcedia CIRP, 2015
AbstractThis paper focuses on tuning the micro injection moulding process parameters. In this study four process parameters namely, barrel temperature, mould temperature, holding pressure and injection speed were considered. In order to capture their behaviour a L16 Orthogonal Array with two levels for each parameter was employed to produce the design ...
Packianather, Michael Sylvester   +2 more
openaire   +3 more sources

On the Selection of Tuning Methodology of FOPID Controllers for the Control of Higher Order Processes [PDF]

open access: yes, 2012
In this paper, a comparative study is done on the time and frequency domain tuning strategies for fractional order (FO) PID controllers to handle higher order processes. A new fractional order template for reduced parameter modeling of stable minimum/non-
Alomoush   +56 more
core   +2 more sources

Data integration by multi-tuning parameter elastic net regression

open access: yesBMC Bioinformatics, 2018
Background To integrate molecular features from multiple high-throughput platforms in prediction, a regression model that penalizes features from all platforms equally is commonly used.
Jie Liu   +3 more
doaj   +1 more source

Self-tuning method for a linear active disturbance rejection controller

open access: yes工程科学学报, 2015
This paper introduces a parameter self-tuning algorithm based on dynamic response time series data mining to solve the parameter self-tuning difficulty of a linear active disturbance rejection controller(LADRC).
LI Yang, WANG Jing, ZHANG Yong-jun
doaj   +1 more source

Effectiveness and limitations of parameter tuning in reducing biases of top-of-atmosphere radiation and clouds in MIROC version 5 [PDF]

open access: yesGeoscientific Model Development, 2017
This study discusses how much of the biases in top-of-atmosphere (TOA) radiation and clouds can be removed by parameter tuning in the present-day simulation of a climate model in the Coupled Model Inter-comparison Project phase 5 (CMIP5) generation ...
T. Ogura   +12 more
doaj   +1 more source

Naturalness and Fine Tuning in the NMSSM: Implications of Early LHC Results [PDF]

open access: yes, 2011
We study the fine tuning in the parameter space of the semi-constrained NMSSM, where most soft Susy breaking parameters are universal at the GUT scale. We discuss the dependence of the fine tuning on the soft Susy breaking parameters M_1/2 and m0, and on
A Strumia   +52 more
core   +3 more sources

Parameter Tuning for Local-Search-Based Matheuristic Methods

open access: yesComplexity, 2017
Algorithms that aim to solve optimisation problems by combining heuristics and mathematical programming have attracted researchers’ attention. These methods, also known as matheuristics, have been shown to perform especially well for large, complex ...
Guillermo Cabrera-Guerrero   +5 more
doaj   +1 more source

Quadrature Signal Generator with Improved Dc Offset Compensation

open access: yesAdvances in Electrical and Computer Engineering, 2021
In this paper a second order generalized integrator (SOGI) based quadrature signal generator (QSG) is proposed with the improved DC offset compensation parameter tuning procedure.
STOJIC, D.
doaj   +1 more source

A precision study of the fine tuning in the DiracNMSSM [PDF]

open access: yes, 2013
Recently the DiracNMSSM has been proposed as a possible solution to reduce the fine tuning in supersymmetry. We determine the degree of fine tuning needed in the DiracNMSSM with and without non-universal gaugino masses and compare it with the fine tuning
A Arvanitaki   +91 more
core   +2 more sources

High dimensional parameter tuning for event generators

open access: yesEuropean Physical Journal C: Particles and Fields, 2020
Monte Carlo Event Generators are important tools for the understanding of physics at particle colliders like the LHC. In order to best predict a wide variety of observables, the optimization of parameters in the Event Generators based on precision data ...
Johannes Bellm, Leif Gellersen
doaj   +1 more source

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