Amneh Al-Mbaideen- Ph.D
- Professor (Associated) at Mutah University
Amneh Al-Mbaideen
- Ph.D
- Professor (Associated) at Mutah University
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14
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Publications (14)
Data rate, security, spectral efficiency, energy efficiency and reliability represent the main requirements in most of communication systems. Different wireless technologies can achieve different levels of these requirements, where a specific wireless technology cannot individually attain the best performance in all of these system requirements. Fr...
The recent evolution of various wireless techniques has paved the way for a remarkable evolution in wireless networks. Nonetheless, the main drawback of some cutting-edge techniques is the complex detection at the receiver by implementing the legacy maximum likelihood (MLi) scheme for signal demodulation. In this paper, a novel less complex detecto...
The paper examines undammed low frequency oscillations (LFOs) that can lead to system collapse, citing the Jordan power network incident on May 21, 2021. Traditional model-based methods for studying LFOs' small-signal stability have limitations. To address this, an online damping controller based on an artificial neural network (ANN) is proposed. U...
A fractional-order fuzzy proportional integral derivative (PID) controller is a controller that combines the benefits of fractional calculus and fuzzy logic with the conventional PID controller. In this paper, a four-stage optimization algorithm is proposed for the design of a Type-2 Fuzzy fractional-order PID controller based on the Fourier Series...
This paper proposes a new algorithm for the optimal placement of the phasor measurement unit. The proposed algorithm is based on the concept of finite space solution of any binary problem. This algorithm has considered all possible cases; therefore, the possibility of obtaining a global solution is very high. The large system is divided into severa...
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...
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...
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...
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...
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...
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...
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...
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...
