[PDF][PDF] Management information systems, conceptual dimensions of information quality and quality of managerial decisions: modelling artificial neural networks

H Hakimpoor, M Khairabadi - Universal Journal of Management, 2018 - academia.edu
The effect of information system on decision making is a central concern in the field of
information system (IS). Information systems form the backbone of any business process …

Automated tool for predicting duration of construction activities in tropical countries

H Golizadeh, AN Sadeghifam, H Aadal… - KSCE Journal of Civil …, 2016 - Elsevier
Proper and accurate estimating of construction activities' duration is a key factor, as it can
cause the success or failure of a project. The common methods of duration estimating have …

Automated estimation of completion time for dam projects

H Golizadeh, S Banihashemi… - International Journal …, 2017 - Taylor & Francis
An accurate estimation of construction duration for the successful completion of
infrastructure projects is as important a task as kee** a project within the stipulated budget …

Develo** an empirical predictive saved load-rating model for windows by using artificial neural network

M Shakouri, S Banihashemi - International Journal of Green Energy, 2019 - Taylor & Francis
In line with the growing global trend towards energy efficiency in buildings, this paper
introduces a predictive model based on an artificial neural network model to rate the …

[PDF][PDF] Predicting Significant Characteristics of Concrete Containing Palm Oil Fuel Ash

H Golizadeh, S BANIHASHEMI - Journal of …, 2015 - researchprofiles.canberra.edu.au
Palm Oil Fuel Ash (POFA) is used as a supplementary cementitious material in concrete.
Using different percentages of POFA leads to a non-linear variation among the …

An Optimization Analytical Method for Synchronous Machine Model Design from Operational Inductance Ld (s).

F Leguebedj, D Boukhetala, M Tad**e - Progress In Electromagnetics …, 2022 - jpier.org
This paper presents an analytical method for the optimal estimation of time constants of
synchronous machine from Standstill Frequency Response Testing (SSFR). We show that …

Estimation of Synchronous Machine Parameters by Stand Still Frequency Responses Testing

F Leguebedj, D Boukhetala - ENP Engineering Science Journal, 2023 - enpesj.enp.edu.dz
This paper presents a general method based on the standstill frequency response (SSFR)
tests cited in IEEE Std 115-A. The used methodology consists of determining the frequency …

Observability of synchronous generators' parameters in its dynamic performance

O Shariati, P Esmaili… - IEEE EUROCON …, 2017 - ieeexplore.ieee.org
Observability of synchronous generators' dynamic parameters has significant contribution in
the design of the parameter identification method of the generators. Subsequently, it has a …

Application of neural network observer for on-line estimation of solid-rotor Synchronous Generators' Dynamic Parameters using the operating data

O Shariati, AAM Zin, A Khairuddin… - … on Power and …, 2012 - ieeexplore.ieee.org
Parameter identification, considering both dynamic performance and energy efficiency is
critical for modern control strategies in electrical power systems. This paper presents a novel …

[PDF][PDF] Mise en Oeuvre et Validation de la Méthode des Réponses en Fréquence à l'Arrêt-Standstill Frequency Response (SSFR)-pour trois générateurs synchrones

S Rakotovololona - 2015 - corpus.ulaval.ca
Résumé Ce mémoire présente une application de la méthode des réponses en fréquence à
l'arrêt ou Standstill Frequency Response (SSFR) pour trois machines synchrones distinctes …