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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 use of information technology applications in the provision of health care to a COVID-19 patients Ihsan Ali Hassan; Ahmed Adnan Mohammed Al-Azzawi; Mohammed Layth Talal
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.pp277-283

Abstract

At the time of writing this study, the COVID-19 virus continues to spread through its multiple mutants, the latest of which is (Omicron). Therefore, it was necessary to use effective and unconventional treatments to reduce the spread of this virus and to deliver health care to its infected without the need to be exposed to the risk of infection. This research paper presents valuable solutions for communicating with COVID-19 patients through the use of information technology applications. This method contributes to reducing the consumption of medical resources, reducing contact with patients, and helping with social distancing, which contributes to reducing the spread of this virus. The process of using information technology means to provide medical advice and treatment to patients by telemedicine doctors has been clarified. More importantly, the results of this study presented the factors affecting the use of these applications in terms of social, technological, and organizational.
Global optimization of hybrid AC/DC microgrid using HOMER and CPLEX Nabil Qachchachi; Hassane Mahmoudi; Abdennebi El Hasnaoui
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.pp12-20

Abstract

This work presents an idea about to design, simulation, and analysis of an operational control system in order to control and supervise the operations of a hybrid AC/DC microgrid (HMG) in the different operating modes (connected and islanded). The main task of this paper is concerned with the development and the implementation of a global optimization method for solving the problems of the energy crisis of HMG with an adequate control algorithm. The supervision system was developed in such a way that it coordinates when power should be generated by sources renewable energy sources (RES) such as PV array or wind turbine and when it should be produced by grid power in on-grid operation or with diesel generator (DG) in off-grid operation. This system is intended to maximize the use of the RES while limiting the use of the other emergency sources of energy (the utility grid and DG). The control simulation proves that the management system reduces the total cost of HMG thereby reducing the total cost of the RES. From the simulation results, the developed supervision system reduces the global operational hours of the HMG and the proposed algorithm respects the optimization in real-time operation under different constraints.
Non-line-of-sight outdoor channel identifcation for wireless sensor networks based on impluse radio ultra wide band Anouar Darif; Rachid Fateh
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.pp441-449

Abstract

Wireless sensor networks (WSN) have become increasingly popular in a variety of fields in recent years. This is due to the development of their capabilities, which include remote environmental monitoring, process automation, telemedicine, and many other domains. Besides, among the widely used modern WSN radio technologies, we find impluse radio ultra wide band (IR-UWB) that is recognized by their advantages regarding low power consumption, low cost, low complexity and high resistance to multipath fading in outdoor wireless networks. Energy consumption minimization, packet delivery ratio improvement and latency minimization are the main objectives in this work. The chosen performance metrics (energy consumption, packet delivery ratio and latency) are justified by the direct impact of these three parameters on the network’s efficiency. Accordingly, we proposed and introduced an outdoor non-line-of-sight (NLOS) packet delivery ratio using broadband radio access network (BRAN) channel to improve WSN’s based on IR-UWB performance in terms of energy consumption, packets delivery ratio (PDR) and latency.
Machine learning based smart weather prediction Rajasekaran Meenal; Kiruthic Kailash; Prawin Angel Michael; Jeyaraj Jency Joseph; Francis Thomas Josh; Ekambaram Rajasekaran
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.pp508-515

Abstract

Weather forecasting refers to the prediction of atmospheric conditions depending on a given time and location. Weather prediction is essential and it plays a significant role in many sectors namely energy and utililities, marine transportation, aviation, agriculture and forestry to a greater extent. Accurate weather forecast mechanism help the farmers for suitable planning of farming operations that will prevent crop losses. In this work, the weather parameters namely precipitation, relative humidity, wind speed and solar radiation were predicted for few Indian locations using the conventional temperature based empirical models and machine learning algorithms such as linear regression, support-vector machine (SVM) and decision tree. Forecasting of weather parameters, on which agriculture depends, will increase the overall yield and it helps farmers and agricultural-based businesses to plan better. From the current results, it is observed that machine learning (ML) based methods had a better prediction results than the physics based conventional models for weather forecasting with mean square error of 0.1397 and correlation coefficient of 0.9259. The objective of this work is to arrive at an optimized end result and a better weather prediction using the Machine learning models with lesser computational effort.
Monitoring system of photovoltaic panels using 433 MHz radio frequency module Zaidan Didi; Ikram El Azami
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.pp115-123

Abstract

In this article, we presented an innovative study that allows direct monitoring of the main parameters of photovoltaic panels. Our study focuses on the skills of radio frequency modules to send the main parameters of photovoltaic cells. In this paper, we used an Esp32 microcontroller in the radio frequency (RF) transmitter block and an Arduino Uno board in the receiver block, in addition, to measure current, we used a current sensor, and to measure voltage, we implemented a voltage divider. After that, we calculated the power and the energy. Note that the various measured and calculated values are stored and used via the ThingSpeak platform. In comparison with similar studies, our achievement presents an` effective and inexpensive solution because its operating principle is based on radio frequency transmission, so it works perfectly even in the absence of the internet. Finally, our study was very well tested without detecting any abnormalities, and the results obtained are a perfect witness to our success.
Secure smart home automation and monitoring system using internet of things Mohamed Khudhair Al-Gburi; Laith Ali Abdul-Rahaim
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.pp269-276

Abstract

As a result of the rapid increase in the number of users in internet of things (IoT) technologies, IoT becomes one of the most important technologies that play an important and essential role in various areas of human life, it provides service over 24 hours. In this paper, the proposed system relies on the implementation of a set of sensors for the Internet of things, which accomplish tasks inside the home automation, for example, controlling the main door, boiler and lock, as well as the ability to control lighting and air, internal temperature sensors, it based on the Arduino, to collect multimedia data, and remote-controlled sensors. The proposed system provides an efficient way to control and monitor the various devices in the home for security and safety purposes, and through sensors that rely on wireless technologies. The results show the abnormal alarm notification for heathcare/security purposes with the distance as 27 cm, smoke carbon monoxide on indoor air quality as 10211 degree Co as 6256 degree, Liquefied petroleum gas as 5097 degree, the delayed 3.4 ms and network latency as 0.0012 seconds of alarm notification with long distance as 60 m and high packet delivery ratio as 98.7%.
Simulation with system dynamics on university student research Laberiano Andrade-Arenas; David Llulluy Nuñez; Alexi Delgado
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.pp396-404

Abstract

Currently, student research at the university under study is carried out from the first semesters until the student graduates, but it is necessary to make adjustments to its guidelines that include student research within a teaching-learning process. The objective of the research is to propose a model of student research, using causal diagrams and forrester diagram; then carry out a simulation of the projection from 2021 to 2026 with the variables, students, quality teachers in the research, completed work for publication in journal or conference; and thus index in Scopus or Web of Science. Besides, in the methodological part, the systems dynamics method was applied, based on the systemic approach. The research work is predictive, which was carried out with the Vensim software, obtaining as a result of the simulation, an increase in the production of complete Works by the students; where in 2026 around 300 articles will be published by the students. In addition, there will be about 12 full-time quality research professors and approximately 6,000 students in 2026. The conclusion reached in the research is that the model helps the authorities make decisions appropriately according to the forecasts made in the different scenarios made with the Vensim software.
Enhancement of automatic classification of arcus senilis-nonarcus senilis using convolutional neural networ Nur Farahin Bt Abdul Halim; Ridza Azri Bin Ramlee; Mohd Zaki Bin Mas’ud; Amirul Jamaludin
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.pp209-219

Abstract

Cholesterol is a type of lipid found in the human body and is susceptible to abnormalities. It can be detected via lipid profiling through blood sampling. In addition, cholesterol can be detected through the presence of a "sodium ring" in the eye iris called the corneal arcus (CA), presenting a new preliminary detection method that is less invasive. Therefore, this paper proposed a non-invasive method in detecting cholesterol based on convolutional neural network (CNN) model representation using 300 normal and 300 abnormal iris images from UBIRIS and medical web images. In this work, contrast-limited adaptive histogram (CLAHE) and unsharp masking process was applied first on CA images to enhance the quality of CA images. To detect the CA images, the dataset was trained and tested using three pre-trained CNN architectures; one is created from scratch, another are Resnet-50 and VGG-19 architectures that were fine-tuned to the CA images. The best result was exhibited by proposed pre-trained CNN model created from scratch with 10-fold cross-validation that produced high average detection accuracy at 98.81%. Thus, deeper network implementation is recommended in the future to further improve CA localization for optometrists used in their daily clinical tasks in detecting cholesterol.
New ultra-small design and high performance of an 8×8 massive MIMO antenna for future 6G wireless devices Karrar Shakir Muttair; Karrar Khaleel Aljawaheri; Mujtaba Zuhair Ali; Oras Ahmed Shareef; Mahmood Farhan Mosleh
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.pp587-599

Abstract

The demand for the array antenna that consists of multiple ports has increased in recent years, because of its main importance in reducing noise and interference between users. In this paper, we propose a new method for designing an 8×8 (16-ports) multi-input and multi-output (MIMO) antenna. This method relied on the Micro Strip mechanism so that we presented a small antenna that operates at wide and multi-bands of millimeter waves (Mm-Waves). According to the information curves generated by the CST experimental software, it was observed that the proposed antenna operates well from 36 to 60 GHz. Therefore, the antenna achieved the best results in terms of many most important parameters, the reflection coefficient is <-10 dB, return loss is <-25 dB, and voltage standing wave ratio (VSWR) is < 2. In addition, the efficiency of the antenna for all frequencies from 70% to 97%, the envelope correlation coefficient (ECC) is <0.001, and the diversity gain (DG) is 10 dB for all frequencies, while the maximum gain achieved by the antenna is 9 dB at 46 GHz. All these good results achieved by the antenna make it the prominent and potential element in most of the future 6G wireless communication systems.
Statistical properties of underwater acoustic noise in Lake Hamrin, Diyala, Iraq Thamer Easa Murad; Yasin Yousif Al-Aboosi
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.pp192-200

Abstract

The greatest challenge in underwater acoustic communication systems is the minimization of underwater impact noise. This article offers an empirical example for determining the statistical properties of underwater acoustic noise in the in Lake Hamrin. The data are measured from various depths reached in Lake Hamrin, Diyala, Iraq. In most communication systems, noise is assumed to be additive as well as Gaussian. Underwater acoustic noise (UWAN) isn't only thermal noise, it also includes other components to the UWAN: turbulence, wind and shipping noises. Thus, it should be assumed that the acoustic noise is colored noise instead of white noise. Intermittent noise in the oceans and seas frequently includes significant Non-Gaussian elements. The samples noise data are analyzed in actual time for various depths of 1 meter, 3 meter and 5 meter in order to limit the statistical properties of underwater acoustic noise in Lake Hamrin, Diyala, Iraq such as the autocorrelation function (ACF), the probability density function (PDF) and also power spectral density (PSD). The experimental results showed that the noise of the Tigris river is a color noise and does not follow the Gaussian distribution.

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