Results 21 to 30 of about 441,425 (328)

Application of the Hurricane Optimization Algorithm to Estimate Parameters in Single-Phase Transformers Considering Voltage and Current Measures

open access: yesComputers, 2022
In this research paper, a combinatorial optimization approach is proposed for parameter estimation in single-phase transformers considering voltage and current measurements at the transformer terminals.
Brandon Cortés-Caicedo   +2 more
doaj   +1 more source

Highly Accurate Prediction of Core Spectra of Molecules at Density Functional Theory Cost: Attaining sub eV Error from a Restricted Open-Shell Kohn-Sham Approach. [PDF]

open access: yesJournal of Physical Chemistry Letters, 2019
We present the use of the recently developed Square Gradient Minimization (SGM) algorithm for excited state orbital optimization, to obtain spin-pure Restricted Open-Shell Kohn-Sham (ROKS) energies for core excited states of molecules.
D. Hait, M. Head‐Gordon
semanticscholar   +1 more source

Modeling the magnetocaloric effect of spinel ferrites for magnetic refrigeration technology using extreme learning machine and genetically hybridized support vector regression computational methods

open access: yesCogent Engineering, 2023
Spinel ferrites are magnetic oxide materials with potentials to promote green technology in magnetic refrigeration which is known to be economically clean, energy saving and efficient.
Wasiu Adeyemi Oke   +6 more
doaj   +1 more source

Optimization of Adaptive Three-Mode GBN Scheme Control Parameters [PDF]

open access: yesRadioengineering, 2017
An adaptive three-mode system based on mbox{Go-Back-N} (GBN) protocol is analyzed within this paper. An ideal mode selection procedure based on a-priori known packet error probability is defined.
R. Vojinovic, M. Dakovic
doaj  

Majorization-Minimization Aided Hybrid Transceivers for MIMO Interference Channels [PDF]

open access: yesIEEE Transactions on Signal Processing, 2019
The potential of deploying large-scale antenna arrays in future wireless systems has stimulated extensive research on hybrid transceiver designs aiming to approximate the optimal fully-digital schemes with much reduced hardware cost, and signal ...
Shiqi Gong   +4 more
semanticscholar   +1 more source

Black-Hole Optimization Applied to the Parametric Estimation in Distribution Transformers Considering Voltage and Current Measures

open access: yesComputers, 2021
The problem of parametric estimation in single-phase transformers is addressed in this research from the point of view of metaheuristic optimization.
Camilo Andres Arenas-Acuña   +3 more
doaj   +1 more source

Sensor placement minimizing the state estimation mean square error: Performance guarantees of greedy solutions [PDF]

open access: yes2020 59th IEEE Conference on Decision and Control (CDC), 2020
This paper studies selecting a subset of the system's output to minimize the state estimation mean square error (MSE). This results in the maximization problem of a set function defined on possible sensor selections subject to a cardinality constraint. We consider to solve it approximately by a greedy search.
Kohara, Akira   +3 more
openaire   +2 more sources

Wireless MIMO Switching: Weighted Sum Mean Square Error and Sum Rate Optimization [PDF]

open access: yes, 2012
This paper addresses joint transceiver and relay design for a wireless multiple-input-multiple-output (MIMO) switching scheme that enables data exchange among multiple users.
Guo, Dongning   +3 more
core   +1 more source

Joint Energy Minimization and Resource Allocation in C-RAN with Mobile Cloud [PDF]

open access: yesIEEE Transactions on Cloud Computing, 2015
Cloud radio access network (C-RAN) has emerged as a potential candidate of the next generation access network technology to address the increasing mobile traffic, while mobile cloud computing (MCC) offers a prospective solution to the resource-limited ...
Kezhi Wang   +2 more
semanticscholar   +1 more source

On-Line Condition Monitoring System for High Level Trip Water in Steam Boiler’s Drum

open access: yesMATEC Web of Conferences, 2014
This paper presents a monitoring technique using Artificial Neural Networks (ANN) with four different training algorithms for high level water in steam boiler’s drum.
Ismail Alnaimi Firas B.   +3 more
doaj   +1 more source

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