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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 64 Documents
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Search results for , issue "Vol 28, No 1: October 2022" : 64 Documents clear
The effects of optical fiber impairments on communication systems Riyam Saadi Ali; Ali Y. Fattah; Mustafa D. Hassib
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 1: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i1.pp241-253

Abstract

In this paper, the influence of physical layer impairments on fiber optic channels was evaluated using analytical modeling, and the findings were verified through simulation results. Light propagation inside standard single mode fiber (SSMF) is affected by both linear and nonlinear effects, which must be taken into account in order to develop an appropriate fiber channel model. The use of nonlinear fiber optics in the implementation of highcapacity optical networks is crucial. The "Optisystem 17.0" software package was used to simulate the suggested systems. It can be observed that increased input power tends to increase the effect of cross-phase modulation (XPM) and four wave mixing (FWM) in the nonlinear dispersive fibers. The impact of pulse broadening due to chromatic dispersion (CD), self-phase modulation (SPM), and cross-phase modulation (XPM) was investigated using Gaussian pulses as input signals.
A new approach of variable step-size maximum power point tracking algorithm used in photovoltaic systems Ramadhan Masmoudi; Ikhlas Boulhares; Ammar Necaibia
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 1: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i1.pp21-29

Abstract

To exploit the maximum power generated by the photovoltaic (PV) panel, it is necessary to use the maximum power point tracking (MPPT) controller. The main concern of MPPT algorithms is how to reach the maximum power point (MPP) quickly with less oscillation. To achieve this objective, this paper studies and compares the performance of different MPPT algorithms with a new proposed criterion of variable step size in terms of convergence speed towards the MPP and reduced oscillations around it. The proposed method utilizes a simple way to build multi-operating zones. In each field, the step size depends on the closeness to the MPP. The simulation results are obtained under Proteus and Arduino software; we use physical security information management (PSIM) software for the modeling of the PV panel and MATLAB software to display the comparative results between the different algorithms.
Comparative analysis on virtual private network in the internet of things gateways Mohd Idzaney Zakaria; Mohd Natashah Norizan; Muammar Mohamad Isa; Mohd Faizal Jamlos; Muslim Mustapa
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 1: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i1.pp488-497

Abstract

A virtual private network (VPN) connects a private network to the internet, primarily the public network, through a secure tunnel. Using a local area network (LAN) segment, users can send and receive data from their colleagues in different locations on the network. The development of VPN allows users to gain access to company applications and databases. Therefore, data can be transmitted through a secure tunnel without the need to configure port forwarding for the internet of things (IoT) gateway, allowing users to access it from any location in the world. A method such as dataplicity and pitunnel was examined to compare with the conventional setting. This research paper examines the current deployment of VPN connections in IoT gateways, discussing their characteristics, benefits, and drawbacks, as well as comparing them. The advantage of this method is that the IoT gateway is always accessible and has internet connectivity, w
A new three-term conjugate gradient method for training neural networks with global convergence Alaa Luqman Ibrahim; Mohammed Guhdar Mohammed
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 1: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i1.pp551-558

Abstract

Conjugate gradient methods (CG) constitute excellent neural network training methods that are simplicity, flexibility, numerical efficiency, and low memory requirements. In this paper, we introduce a new three-term conjugate gradient method, for solving optimization problems and it has been tested on artificial neural networks (ANN) for training a feed-forward neural network. The new method satisfied the descent condition and sufficient descent condition. Global convergence of the new (NTTCG) method has been tested. The results of numerical experiences on some wellknown test function shown that our new modified method is very effective, by relying on the number of functions evaluation and number of iterations, also included the numerical results for training feed-forward neural networks with other well-known method in this field.
Novel method to classify varicocele using electronic nose Raden Aa Koesoema Wijaya; Ahmad Kusumaatmaja; Dicky Mochammad Rizal
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 1: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i1.pp165-173

Abstract

The prevalence of varicocele is estimated to be around 15-20% of the male population, and of these, about 35-40% are patients requiring infertility treatment. A varicocele is a dilation of the veins in the spermatic cord diagnosed by physical examination of the male genital area and assisted by scrotal ultrasound. The development of electronic nose technology provides an opportunity to detect disease characteristics of volatile organic compounds produced by biological materials. This study aims to utilize the metabolomic gas produced from the odor of the seminal fluid by using an electronic nose. The identification of the pattern of volatile organic compounds formed was labeled as unilateral varicocele, bilateral varicocele and clinical non varicocele as the basis for classification with supervised machine learning. In this study, the accuracy values were quite good for several algorithms, both in training accuracy and testing accuracy with an average accuracy value above 80%.
New memoryless self-scaling quasi Newton strategy on large scale unconstrained optimization problems Aseel M. Qasim; Zinah F. Salih
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 1: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i1.pp339-345

Abstract

In unconstrained optimization algorithms, we employ the memoryless quasi Newton procedure to construct a new conjugacy coefficient for the conjugate gradient approaches. This newer updating formula was adapted by scaling the well-known broyden fletcher glodfarb shanno (BFGS) formula by a selfscaling factor in order to reach to the new form of the conjugacy coefficient which makes a satisfactory result in the descent direction and satisfies the globally convergent features when compared the proposed method to HS standard conjugate gradient approach. The theorems are studied in detail and moreover the numerical results of this paper is depend on a Fortran programming which are extremely stable.
Communication frame work in an electric vehicle charging station supporting solar energy management Victor George; Pradipkumar Dixit; Soman Dawnee; Kushagra Agarwal; Vismayi Venkataramu; Deeksha B. Giridhar
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 1: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i1.pp49-57

Abstract

Exploiting Renewable energy to the maximum extent possible in an electric vehicle charging station (EVCS) is the key in supporting the anticipated carbon reduction from the electric vehicles (EVs). Knowing the expected load and the solar energy in advance at the EVCS can be crucial in framing a proper energy management strategy. Selection of suitable parameters associated with the participating EVs and EVCS are vital in utilizing them for predicting the probable EV load and expected solar energy for a given period under consideration. A prototype EVCS with smart communication infrastructure is developed considering solar pv as the energy source. Real time communication of the parameters between multiple agents has been established effectively using an interactive website, cloud server and an short message service (SMS) application programming interface (API). The data generated from the prototype models have been utilized in a random forest regression (RFR) classifier model in order to predict the probable solar energy and the expected EV load for every minute duration. The integrated communication frame work is found to be less complex to implement for an autonomous direct current (DC EVCS). The details provided at the graphical user interface (GUI) designed at the EVCS can be instrumental in developing a proper energy management strategy.
Supervised learning using support vector machine applied to sentiment analysis of teacher performance satisfaction Omar Chamorro-Atalaya; Dora Arce-Santillan; José Antonio Arévalo-Tuesta; Lilia Rodas-Camacho; Ronald Fernando Dávila-Laguna; Rufino Alejos-Ipanaque; Lilly Rocío Moreno-Chinchay
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 1: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i1.pp516-524

Abstract

Satisfaction with teaching performance is an important measurement process in higher education institutions, for this reason, applying sentiment analysis to the opinions of university students through the support vector machine (SVM) Fine Gaussian supervised learning algorithm represents an important contribution to the academic literature. This article identifies the best classification algorithm according to performance parameters for predicting student satisfaction with teaching performance through sentiment analysis; the subsequent implementation of the research has the purpose of strengthening teaching practices, in addition to allowing continuous training of teaching for the benefit of student learning. This article has provided a compact predictive model, with literature review based on SVM and sentiment analysis techniques. Through the machine learning classification learner technique, it is identified that the SVM algorithm: Fine Gaussian SVM is the one with the best accuracy equal to 98.3%. Likewise, the performance metrics for the four classes of the model were identified, which have a sensitivity equal to 88.89%, a specificity of 98.04%, a precision of 99.21% and an accuracy of 98.85%.
Fuzzy based back stepping controller for glucose level regulation under meal disturbance Yousra Abd Mohammed; Rokaia Shalal Habeeb
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 1: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i1.pp137-145

Abstract

Diabetes is one of the most common and critical diseases around the world, which need insulin injections to control the body’s glucose rate. A robust back stepping (BS) controller design based on fuzzy system is introduced in this paper to control the glucose level with the presence of meal disturbance. The controller’s design is based on Bergman’s mathematical model. Different fuzzy controller structures are implemented (fuzzy PI, fuzzy PD, and fuzzy PID) controllers along with BS controller named as (BS-fuzzy PI, BS-fuzzy PD, BS-fuzzy PID) controllers. Simulation results using MATLAB/Simulink show efficiency and robustness of the proposed design in terms of controlling the insulin concentration level in blood under meal disturbance and retaining the glucose level to its Basal value.
Measuring user emotional responses using Geneva Emotion Wheel towards learning management systems Wan Nooraishya Wan Ahmad; Ahmad Rizal Ahmad Rodzuan; Voon Mei Luan
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 1: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i1.pp315-327

Abstract

The learning management system (LMS) has been used widely in higher learning institutions for blended learning; this interaction involves user cognition and may induce emotional experience. Therefore, the user has to sustain a positive emotional experience towards using LMS to avoid difficulty in the learning process. However, the user emotions and the design elements that induced the emotions are yet to discover. This study aims to analyse user emotional responses to a learning management design and examine the emotional design features of a learning management system. Two versions of a higher learning institution LMS were used and investigated using Geneva Emotion Wheel (GEW). The findings show that both LMS versions lack-in activate the positive emotions, but prove the LMS designs reduce the activation of negative emotions. Furthermore, the emotional design elements that concern an LMS is explained.

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