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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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Guidance system based on Dijkstra-ant colony algorithm with binary search tree for indoor parking system K. Ibrahim Ata; A. Che Soh; A. J. Ishak; H. Jaafar
Indonesian Journal of Electrical Engineering and Computer Science Vol 24, No 2: November 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v24.i2.pp1173-1182

Abstract

A common algorithm to solve the single-source shortest path (SSSP) is the Dijkstra algorithm. However, the traditional Dijkstra’s is not accurate and need more time to perform the path in order it should visit all the nodes in the graph. In this paper, the Dijkstra-ant colony algorithm (ACO) with binary search tree (BST) has been proposed. Dijkstra and ACO are integrated to produce the smart guidance algorithm for the indoor parking system. Dijkstra algorithm initials the paths to finding the shortest path while ACO optimizes the paths. BST has been used to store the paths that Dijkstra algorithm initialled. The proposed algorithm is aimed to control the shortest path as well as guide the driver towards the nearest vacant available space near the entrance. This solution depending on applying the optimization on an optimal path while the traditional ACO is optimizing the random path based on the greedy algorithm hence we get the most optimal path. Moreover, the reason behind using the BST is to make the generation of the path by Dijkstra’s algorithm more accurate and less time performance. The results show a range of 8.3% to 26.8% improvement in the proposed path compared to the traditional Dijkstra’s algorithm.
Electromagnetic nonlinear parametric study of the SynRM using FEM method Benessalah Djamel; Houassine Hamza; Nadir Kabache; Moussaoui Djeloul
Indonesian Journal of Electrical Engineering and Computer Science Vol 24, No 2: November 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v24.i2.pp637-648

Abstract

The interest in synchronous reluctance machine (SynRM) does not stop increasing in recent decades; this is encouraged by their numerous advantages. This paper presents a nonlinear parametric study of the SynRM using finite element method (FEM) method. After a brief introduction and a description of the basic principles of SynRM an investigation and an evaluation of the effects of some influential parameters’ variables of the machine on the torque and magnetic losses is highlighted. The SynRM is created using ANSYS Maxwell software, using 2D FEM. The analyses are performed in the ANSYS Maxwell. The influence of the thickness of the air gap, the opening angle of the rotor, the width and the height of the stator tooth are listed and discussed. The obtained results reveals that the opening angle of the rotor and the air gap produces a large effect over the torque of the SynRM. In order to validate, the finite element model of the studied machine, experimental tests were carried out on designed machine such as the measurement of the synchronous inductance, the torque and the different losses. The experimental results are in agreement with those obtained by FEM.
Design a multi-motion bed to help the Elderly people and sick Nisreen Kareem Ali; Mustafa Yaseen Abdulateef; Mohammed Hasan Ali
Indonesian Journal of Electrical Engineering and Computer Science Vol 24, No 2: November 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v24.i2.pp789-793

Abstract

Most mishaps happening at clinical foundations treating older patients with portability hindrance are bedsores and slip-and-fall accidents. One reason for this high pace of mishaps is the absence of nursing faculty. So as to help parental figures in nursing old patients who are unable to move freely, we offer an arrangement and implementation of a wise bed in this work. This is the bed. Under the sheet material spread, a couple of weight sensors are passed to consider the two social orders' regular actual characteristics as well as the specific body portions where bedsores commonly arise. The body zone is divided into three vertical territories and three level zones to cope with the weight ulcer territory and prevent falls. Each microcontroller unit is in charge of monitoring pressure-differentiating data in one of the bodily regions separated on a level plane. In this review, a consistent weight distinguishing figure is offered that is useful for predicting the anticipated outcomes of bedsores and falling setbacks by taking into account both the strength and the length of weight of unambiguous body parts. Our preliminary findings reveal that a model magnificent bed serves a pair of human models of varied heights and burdens admirably.
Automation of the stone materials dosing process, controlled by variable frequency drives Guillermo Morales-Romero; Nicéforo Trinidad-Loli; Adrián Quispe-Andía; Beatriz Caycho-Salas; Shirley Quispe-Guía; Carlos Palacios-Huaraca; Omar Chamorro-Atalaya
Indonesian Journal of Electrical Engineering and Computer Science Vol 24, No 2: November 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v24.i2.pp794-802

Abstract

The objective of this article is to determine to what extent the automation of the stone materials dosing process, controlled by sequential drive of frequency variators, contributes to improving the productivity of a company dedicated to the production of asphalt in Peru for which, initially, the characteristics of the procedure that will lead to achieving the automation will be described. The results will then be displayed with respect to the indicators used to compare productivity before and after automation. The automation will be done by means of the logo 230RE controller, which will be connected to three frequency inverters, the programming development will be through the logo soft comford V8 software, for the sequential actuation, timers with connection delay will be used. Applying the automation, it is possible to improve the annual efficiency by an average of 58.30%, this is reflected in the monthly decrease in production time by 13.92%, in turn increasing the amount of stone material produced by an average of 43.77%. Likewise, it is possible to significantly reduce the production loss capacity by an annual average of 93.99%.
IFSG: Intelligence agriculture crop-pest detection system using IoT automation system Imrus Salehin; S. M. Noman; Baki Ul-Islam; Israt Jahan Lopa; Prodipto Bishnu Angon; Ummya Habiba; Nazmun Nessa Moon
Indonesian Journal of Electrical Engineering and Computer Science Vol 24, No 2: November 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v24.i2.pp1091-1099

Abstract

The agricultural and technological combination is blessed for modern world life. Internet of things (IoT) is essential for comfort and development to our agriculture side. In our study, we detected the various pest using different types of sensors and this information has automatically sent to the farmer's mobile for the alert. All these sensors had a central database. Those sensors collect all the data and display the results compared to the central data. The High-image sensor will be able to detect all the rays emitted from the plant and another one is the gas sensor which is able to detect all the gases coming from the diseased plant. We mainly use sound sensor, MQ138, CMOSOV-7670, AMG-8833 for a better automation system. We test it with real-time environment conditions (40°C≤TA≤14°C). Crop pest detection automatic process is more efficient than the other detection process according to testing output. As a result, far-reaching changes in the agricultural sector are possible. To reduce extra cost and increasing more farming ability we need to IoT and Agriculture combinations more.
Factors impacting Jordanian women in computing case study: Hashemite University Ebaa Fayyoumi; Sahar Idwan
Indonesian Journal of Electrical Engineering and Computer Science Vol 24, No 2: November 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v24.i2.pp1130-1140

Abstract

We consider pursuing the Jordanian women their graduate studies in Information Technology disciplines as an indicator of socio-economic development and empowering women in Jordan. This paper presents the first study of multi-variate stereotypes that shape the problem by addressing the following factors: travel abroad, family matters, skills and experience, traditional and cultural differences, scholarship opportunities, financial matters, and language complications. These factors were extensively studied, and their effects were estimated by applying the linear-regression, one-way ANOVA, and Scheffe tests. The scholarship opportunity (R2 = 0:354), travel abroad (R2 = 0:281), and financial matters (R2 = 0:226) were the most influential factors on Jordanian women’s decision in pursuing their graduate studies. On the other hand, skills and experience stereotype (R2 = 0:076) has the least influence.
Implementation of feature extraction and deep learning-based ensemble classifier for interference mitigation in radar signals N. Durga Indira; M. Venu Gopala Rao
Indonesian Journal of Electrical Engineering and Computer Science Vol 24, No 2: November 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v24.i2.pp1195-1201

Abstract

In automotive vehicles, radar is the one of the component for autonomous driving, used for target detection and long-range sensing. Whereas interference exists in signals, noise increases and it effects severely while detecting target objects. For these reasons, various interference mitigation techniques are implemented in this paper. By using these mitigation techniques interference and noise are reduced and original signals are reconstructed. In this paper, we proposed a method to mitigate interference in signal using deep learning. The proposed method provides the best and accurate performance in relate to the various interference conditions and gives better accuracy compared with other existing methods.
Combining serial and parallel decoding for turbo codes Mohammed AlMahamdy; Naser Al-Falahy
Indonesian Journal of Electrical Engineering and Computer Science Vol 24, No 2: November 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v24.i2.pp896-903

Abstract

Reducing the decoding latency of the turbo codes is important to real-time applications. Conventionally, the decoding of the turbo codes (TC) runs in serial fashion, which means only one of the constituent soft decoders runs at a time. Parallel decoding (PD) refers to running the soft decoders in parallel. Although it delivers the output faster (compared to the serial decoding (SD)), it affects the bit- and frame-error rates. This paper proposes a decoding procedure that combines both PD and SD. It bridges the two decoding modes to determine the best combination scheme to achieve the required level of performance at an acceptable decoding latency. Presented results show how this procedure can mitigate the performance degradation at a slight increase in the decoding latency.
Development of an optical pH measurement system based on colorimetric effect Puteri Nur Syahirah Mohamed Mustafa; Aiman Shahmi Azam; Mohd Suhaimi Sulaiman; Ahmad Fairuz Omar; Mohamad Faizal Abd Rahman
Indonesian Journal of Electrical Engineering and Computer Science Vol 24, No 2: November 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v24.i2.pp728-735

Abstract

This paper proposed an optical pH measurement system developed to measure the changes of pH levels based on colorimetric reactions with phenol red reagent. The optical sensing was achieved through the implementation of a pair of light emitting diode (LED) and photodiode. The detection mechanism was based on different absorbance of light intensity at pH values of 2.36, 8.32, 9.08 and 12.83. The data processing method was carried out using LabVIEW software and interfaced with NI USB DAQ 6008. The measured voltage showed a good correlation in relation to the pH level with R2 equals to 0.9624. This relationship was used as a calibration curve in the final system testing. The final measurement of pH showed a good agreement between the actual and measured values with an error of less than 5%, thus indicating the reliability of the proposed system.
A cloud based 3-tier data security framework for industrial internet of things Mirador G. Labrador; Abegail Bordios; Weiyan Hou
Indonesian Journal of Electrical Engineering and Computer Science Vol 24, No 2: November 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v24.i2.pp780-788

Abstract

The convergence of microelectronics and micromechanical system within a sensing device, the proliferation of wireless communication, and the use of software-driven equipment are already changing the landscape of the manufacturing industries. This situation compels the industries to adopt industrial internet of things (IIoT) systems and processes with the main objective-to improve the processes and increase production. However, it is undeniable that despite IIoT advantages, it posed significant issues on the security and privacy on industry automation especially along data generation and control system. Hence, this paper proposes a cloud based 3-tier data security framework that performs two-level security verification processes. The framework has been tested and validated using an experimental industry automation system and has been found to be functionally effective with an acceptable handoff delay.

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