Amneh Al-Mbaideen

Amneh Al-Mbaideen
Mu’tah University · electrical engineering

Ph.D

About

9
Publications
531
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71
Citations

Publications

Publications (9)
Article
Full-text available
This paper explores the use of Space Vector Pulse Width Modulation (SVPWM) instead of Sinusoidal Pulse Width Modulation (SPWM) to evaluate dynamic response of the synchronous inverter (synchronverter). The paper presents a comprehensive comparison between the SVPWM and SPWM for the dynamic response of synchronverter. This comparison aspects contain...
Article
Full-text available
Solar energy is one of the most important renewable energies, with many advantages over other sources. Many parameters affect the electricity generation from solar plants. This paper aims to study the influence of these parameters on predicting solar radiation and electric energy produced in the Salt-Jordan region (Middle East) using long short-ter...
Article
This paper investigates the use of the moving average (MA) filter for the quantitative analysis of the near-infrared (NIR) spectra. The performance of the MA filter is mainly dependent on the right choice of the filter length. The paper also introduces a new technique for the determination of the appropriate length of the MA filter. The use of MA f...
Article
Full-text available
Moving average (MA) filter is widely used in power system applications as a low pass (LPF) or a high pass filter (HPF). It is used as a main processing technique or as a preprocessing step for a wide variety of signal processing applications in power system and control. The selection of the appropriate value of the MA filter length is the most sign...
Article
In this paper a new model based on frequency self deconvolution (FSD) is proposed for the quantitative analysis of a near infrared (NIR) spectrum. The model couples FSD and partial least square regression (PLS). The grid search optimization method is used to select the optimal values of the full width at half height (FWHH) and the truncation point...
Article
In this paper, a new method is proposed for coupling digital bandpass filtering with independent component regression (ICR) to improve the quality of the raw absorbance spectra in quantitative NIR spectroscopy. The proposed model, referred to as SDICR, is based on a subband decomposition independent component analysis (SDICA) model coupled with ICR...
Article
In this paper, a new model based on independent component regression (ICR) is proposed to predict the glucose concentration from near infrared (NIR) spectra. The efficiency of the proposed model is validated using mixtures composed of glucose, urea and triacetin. The whole experiments were carried out in a non-controlled environment or sample condi...
Conference Paper
In this paper, we have investigated the use of principal component regression (PCR) combined with time domain filtering to predict the glucose concentration from NIR spectra of mixtures composed from glucose, urea and triacetin. The whole experiments were carried out in a non-controlled environment or sample conditions to show that the PCR coupled...

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