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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 9,174 Documents
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Shooting swarm algorithm for solving two-point boundary value problems Suhaib Abduljabbar Altamir; Mohammed Abdulrazaq Kahya; Azzam Salahuddin Younus Aladool
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 1: January 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i1.pp553-561

Abstract

Boundary value problems (BVPs) are solved using the more detailed swarm algorithm (SA) based on particle swarm optimization (PSO) and firefly algorithm (FA). In the field of optimization techniques, both PSO and FA have good features to solve many problems in applied mathematics. Due to the sensitivity of the use of the controversial shooting method for solving BVPs, which can not able to reach the exact solution oftentimes. A shooting Swarm algorithm (SSA) is proposed based on PSO and FA. Several BVPs including stiff BVPs were principally used to investigate the SSA. The numerical experiments and analyses revealed that the algorithm was able to overcome the shooing method drawbacks. On another hand, the proposed method that is based on FA significantly reduces the number of iterations required for solving BVPs, because of its flexible properties in the exploration and exploitation phases, and it is in good agreement with the exact solution of BVPs. The SSA was investigated to solve stiff BVPs and Its efficacy has been proven with the accurate solutions.
Using data mining techniques to extract students' attitudes toward e-learning Nabeel Zuhair Tawfeeq; Omar Ghanim Ghazal; Wisam Saeed Abed
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 2: November 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i2.pp1037-1048

Abstract

The rapid expansion of e-learning platforms, where students can share their opinions and express their thoughts, has become a rich source of data for opinion mining and sentiment analysis. This study aims to develop an effective model for predicting students' attitudes about e-learning, with a focus on mining opinions that indicate positive or negative sentiments. The study was implemented in two stages. The first stage aimed to discover the most popular platform used in e-learning at the University of Mosul to collect the largest amount of data through comments posted within the platforms, also to identify trends in students' opinions towards e-learning. The results show that the focus of both lecturers and students revolved around well-known platforms such as Google Classroom and Google Meet, both of which had relative importance (45.33% and 42.29%, respectively). The second stage uses a machine-learning algorithm on the data collected to determine the impact of e-learning on students. Also, two feature selection approaches, Information Gain IG and CHI statistics, were explored and enhanced in addition to HMM and SVM-based hybrid learning strategy. As a result, an opinion mining method was used to assist developers in improving and promoting the quality of relevant services.
Osteoporosis detection using convolutional neural network based on dual-energy X-ray absorptiometry images Abulkareem Z. Mohammed; Loay E. George
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 1: January 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i1.pp315-321

Abstract

Osteoporosis is one of the most common diseases that affect the bones of adults, especially women in menopause, and the reason for this is due to the lack of bone mineral density bone mineral density (BMD). BMD can be measured by X-ray and dual energy X-ray absorptiometry (DEXA) images, this article, focused on using DEXA images for Osteoporosis detection. At first, the original image must passed through the preprocessing stage, during which the noisy parts is reduced, and the useless parts are eliminated, and then the contrast between adjacent areas is increased and the area of interest is allocated. After that, the image is passed in a deep learning model in order to extract the unique features on the basis of which each image is classified. The classification result was excellent with 98% accuracy. The used dataset is “Osteoporosis DEXA scans images” of Spine from Pakistan.
Performance comparison between proportional–integral and backstepping control of maximum power in photovoltaic system Omar Diouri; Ahmed Gaga; Mohammed Ouazzani Jamil
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 2: November 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i2.pp744-752

Abstract

The major problem with photovoltaic systems is to extract the maximum power with better performance and good efficiency as long as there are large variations in atmospheric conditions. To do this, we made a comparative analysis between two controllers, Proportional-Integrator (PI) and backstepping based on a photovoltaic system made up of two parts, the first is the Photovoltaic (PV) panels which are used to convert solar irradiation to an electric current, the second is a boost converter which is used to provide the maximum power. The Perturb and Observe algorithm is used to generate the reference voltage in order to follow it by the two controllers (PI and backstepping) and therefore generate the maximum power. We are considered some parameters for this comparison such asthe efficiency of the controllersto follow the reference power despite the rapid change in atmospheric conditions as well as the response time of the system and the ripples in the transient phase.
Guide to choosing internet of things protocols Sakina Elhadi; Loubna Chhiba; Nawal Sael; Abdelaziz Marzak
Indonesian Journal of Electrical Engineering and Computer Science Vol 27, No 3: September 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v27.i3.pp1567-1575

Abstract

The internet of things (IoT) is a global infrastructure for the information society, enabling advanced services by interconnecting objects (physical or virtual) through existing or evolving interoperable information and communication technologies. Among the main keys to the IoT is the widespread adoption of clearly defined protocols. The implementation of its applications requires protocols capable of effectively managing these conditions, namely network protocols and applications. Considering the importance of using protocols in IoT applications, many protocols have been developed and used by various organizations according to their needs. However, choosing an adaptable, standard, and efficient protocol is a difficult decision, for all organizations and researchers. This difficulty, due to the complex nature of the IoT system and its requirements. Consequently, we propose a model for the use of IoT protocols based on criteria and metrics that will evolve the protocols. we call these models by the model of good practice of protocols of the Internet of things. Then, we implement these models in the form of a tool for choosing IoT (Networks and application) protocols. This study will allow researchers and developers to choose the appropriate protocols for an IoT application by allowing the result before the realization of the application.
Automation and electrical control of a mortising machine with 12 synchronous perforations in the manufacture of stairs Daniel López-Borjas; Omar Chamorro-Atalaya; Florcita Aldana-Trejo; Vidalina Chaccara-Contreras; Nestor Alvarado-Bravo; Erika Zevallos-Vera; Evelyn Anicama-Navarrete
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 3: March 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i3.pp1364-1373

Abstract

With the constant technological development, industries have been incorporating technologies into their manufacturing processes, which generate benefits in the productive field. In the manufacturing process of wooden stairs, the faults of the products, generates that an adequate homogeneity is not achieved, often because the manual operation is carried out without having established parameters in the handling of the mortiser. In this sense, the present article develops an automatism and electrical control of a 12 synchronous perforation mortiser, in order to improve the productivity of the perforation stage in the manufacture of wooden stairs. As part of the development, the electrical, pneumatic and mechanical control system is carried out using Autodesk Inventor software, while the KOP programming is carried out in Tía Portal V14 with connection to S7 PLCSIM V14 using the programmable logic controller (PLC) 1214C. Once the automation has been implemented, a reduction in the processing time per wooden strip of 74.68% is obtained. Likewise, with the automatic process, it is possible to produce 2,460 units of slats, that is, the monthly production increases by 294.9%, in other words, the productivity is 58 units of slats manufactured per hour.
Synthesized carbon material with semi-organic and aqueous electrolyte for supercapacitor application Avinash P. Moholkar; Deepak S. Bankar; Parshuram B. Karandikar
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 2: November 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i2.pp654-662

Abstract

The supercapacitor is an evolving technology that has a potential to play a vital role in the today’s electrical energy storage systems. Supercapacitors are dominated by unique properties that can accompany other energy storage strategies due to its functional characteristics - such as quick charge/discharge ability, higher power density, very long cycle life. It results in to improved system efficiency of hybrid electric energy systems with reduced environmental pollution levels. In this paper, efforts are made to fabricate a low cost prototype of supercapacitor using synthesised carbon material obtained from the pyrolyzed scrap tyre by using both aqueous and Aloe vera gel as semi-aqueous/semi-organic electrolyte. The test results are obtained in the laboratory to ascertain the characteristics of developed supercapacitor in terms of capacitance, internal resistance and peak current. The obtained results are superior as compare to Vulcan XC-72R with trade-off between peak discharge current and other parameters. New carbon material obtained from scrap tyres is cost effective when used along with Aloe vera gel as an electrolyte. Use of scrap tyre carbon as electrode material and Aloe vera gel as naturally available material for electrolyte is an innovation of the presented work.   
Optimization of ground plane antenna gain by increasing the inductance of loading coil based on silver material Suyanta Suyanta; Arief Marwanto; Suryani Alifah
Indonesian Journal of Electrical Engineering and Computer Science Vol 27, No 3: September 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v27.i3.pp1438-1451

Abstract

To overcome the attenuation due to signal distortion in the telex model antenna transmitter, the copper and silver coil loading materials for gain have been tested. The parameters include standing wave ratio (SWR) value≈1, the antenna impedance (ZL), return loss (RL), reflection coefficient (ρ) which measured the bandwidth (BW) and quality factor (Q). In this experiment a telex model ground antenna is used, a coaxial feeder cable with 50 Ω and an operating frequency of 144.280 MHz was used. The feeder cable is tuned to approximate pure resistive with minimum impedance to reach maximum resonance frequency. The field strength effective radiated power (ERP) is measure based on 4 measurement points which has different distances within 100 km areas. The results show that the antenna based on copper loading coil (CLC) has a bandwidth is BW=5.166 MHz and Q=27.929, moreover, the silver loading coil (SLC) antenna the bandwidth is BW=4.500 MHz and Q=32.062. Therefore, SLC material could provide a good reduction in attenuation of signal distortion when signal radiation occurs from the antenna to the air.
Enhancement of spectrum sensing technique with energy harvesting for cognitive radio network Oladapo Seun Okediran; Festus Kehinde Ojo; John Adedapo Ojo; Olasunkanmi Fatai Oseni; Oluwole Oladele Obanisola
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 2: November 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i2.pp810-819

Abstract

Spectrum Sensing (SS) is cognitive radio's (CR’s) fundamental and essential mechanism to locate idle spectrum. Multipath effects in wireless channels, on the other hand, reduce CR's sensing accuracy, resulting in a significant risk of missing data. Optimal Spectrum Sensing Technique with Energy Harvesting (OSSTEH) used to solve this problem suffers from poor performance due to only one Primary User (PU) branch used. Hence, in this paper, an enhanced SS with energy harvesting technique is proposed using Maximal Ratio Combiner (MRC). The multiple copies of the PU signal were received using 'N' number of secondary users (SU) antennas and divided into two equal fractions. The first fraction was used for spectrum sensing, while the latter was used for energy harvesting. The first set of SU antennas received a PU signal, which was combined using MRC, and the output of the combiner was used as an input to the energy detector to calculate the received signal's energy. To assess the existence or absence of the PU signal, the acquired energy was compared to the threshold limit. The enhanced technique was evaluated using the probability of detection and signal strength compared with conventional OSSTEH. The enhanced technique gave a high detection rate with an increase in charging rate than the conventional OSSTEH.
Preconditioned successive over relaxation iterative method via semi-approximate approach for Burgers’ equation Nur Farah Azira Zainal; Jumat Sulaiman; Azali Saudi; Nur Afza Mat Ali
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 3: March 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i3.pp1606-1613

Abstract

This paper proposes the combination of a preconditioner applied with successive over relaxation (SOR) iterative method for solving a sparse and huge scale linear system (LS) in which its coefficient matrix is a tridiagonal matrix. The purpose for applying the preconditioner is to enhance the convergence rate of SOR iterative method. Hence, in order to examine the feasibility of the proposed iterative method which is preconditioner SOR (PSOR) iterative method, first we need to derive the approximation equation of one-dimensional (1D) Burgers’ equation through the discretization process in which the second-order implicit finite difference (SIFD) scheme together with semi-approximate (SA) approach have been applied to the proposed problem. Then, the generated LS is modified into preconditioned linear system (PLS) to construct the formulation of PSOR iterative method. Furthemore, to analyze the feasibility of PSOR iterative method compared with other point iterative methods, three examples of 1D Burgers’ equation are considered. In conclusion, the PSOR iterative method is superior than PGS iterative method. The simulation results showed that our proposed iterative method has low iteration numbers and execution time.

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