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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 29, No 1: January 2023" : 64 Documents clear
A miniaturized dual-band planar antenna with a square ring defected ground structure for 5G millimetre-wave applications Mamadou Mamarou Diallo; Dominic Bernard Onyango Konditi; Olivier Videme Bossou
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.pp197-205

Abstract

The high demand for wireless wideband services has led to evolving of a new mobile network standard, which is known as ‘5G’. For 5G to meet the essentials in terms of bandwidth, the industry should leverage the mm-Wave band (24-300 GHz). Further, miniaturized antennas that operate in multiple frequency bands are required for future space-constrained devices. In this manuscript, a compact dual-band circular microstrip antenna which has a square ring defected ground structure (SR-DGS) is investigated for 5G mobile systems. The design is accomplished using Ansys-HFSS 2021R1. The Rogers RT/duroid (5880) substrate, which has a permittivity of 2.2, a tangent loss of 0.0009, and a thickness of 1.575 mm, is used as a dielectric material. The antenna has physical dimensions of 5x4x1.575 mm3 with an electrical size of 0.458λ0 x0.366λ0 x0.144λ0 ; λ0 represents the wavelength in free space at 27.50 GHz. Impedance bandwidths of 1.34 GHz (27.50 GHz-28.84 GHz) and 2.26 GHz (37.74 GHz-40 GHz) are achieved at the 28 GHz and 38 GHz bands, respectively. The antenna resonates at 28.1875 GHz and 38.5625 GHz with respective gains of 7.2 dB and 7.65 dB. The proposed antenna is a promising candidate for 5G communications due to its miniaturized size.
A deep learning signed medical image based on cryptographic techniques Dalia H. Elkamchouchi; Abeer D. Algarni; Rania M. Ghoniem; Heba G. Mohamed
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.pp481-495

Abstract

Innovative medical multimedia communications technology requirements have enhanced safety principles, allowing significant advancement in security standards. In hospitals and imaging centers, massive amounts of medical images have been created. To successfully access the medical databases and utilize those rich resources in assisting diagnosis and research, image processing enabled communication solutions are necessary. Our article presents a rigorous verified model by employing deep learning to enhance the cryptographic performance of biomedical images using hybrid chaotic Lorentz map diffusion and de-oxyribonucleic acid (DNA) confusion stages. It consists of two encryption/decryption techniques, the initial signal is verified using digital signature and two unique non-consecutive stages of chaotic diffusion with a single DNA scrambling stage in between. The encoded secret bit stream is generated and used to encrypt or decode the original signal in the diffusion manner to disintegrate the redundancy in the plain image statistics, utilizing hybrid chaotic system. Using DNA confusion step to make the relationship between the original signal and the utilized key more ambiguous. These stages make the proposed image cryptosystem more resistant to known/ chosen plaintext assaults. The performance of the suggested technique will be assessed to the most similar techniques reported in the literature for comparative purposes.
Introduction to Sumba’s traditional typical woven fabric motifs based on augmented reality technology Fairuz Iqbal Maulana; Bening Insaniyah Al-Abdillah; Ruth Rade Awang Pandango; Andini Putri Maharani Djafar; Frihandhika Permana
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.pp509-517

Abstract

Sumba woven cloth is one of the points of pride in East Sumba and West Sumba. The process of making Sumba woven cloth is not easy, making the patterned cloth is really valuable. These various motifs have their own stories behind them. Sumba woven fabric is one of the cultural heritages that must be preserved. One way to preserve this cultural heritage is implementing technological developments, such as augmented reality (AR) technology on smartphones. The combination of culture and technology can play a role in preserving Indonesia's cultural diversity. In applying this technology, we use the analysis, design, development, implementation, and evaluation (ADDIE) method starting from the stages of analysis, design, development, implementation, and evaluation. In an implementation, there will be a woven fabric catalog book that becomes a marker to bring up a 3D model of Sumba woven fabric that has been knitted in the form of clothes. The results revealed that the shortest distance between the marker and the camera at which 3D objects may be displayed is 20 cm, and the marker's reading angle is just approximately 0°-45°. The average duration observed is 0.056 seconds, and the average speed obtained is 8.92 meters per second.
Latest trends and their adoptions in electrical power systems – an industrial perspective Butukuri Koti Reddy; Bhanur Srirajvarun Reddy; Palavarapu Prakash; Dongari Vamshy; Penubaka Ram Kishore Kumar Reddy; Mohammed M. Alhaider
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.pp8-14

Abstract

Electricity is a vital part in every day’s life and is one of the greatest gifts given by science to the mankind. It has provided all the comfort to the human beings right from lighting to large machines through computers and amusement equipment. Electrical power system (EPS) is moving fast into new horizons and making the entire world dynamic just like the speed of electron. In this paper, the latest trends that are happening globally in electrical power systems are highlighted. The major changes that are taking place in all applicable fields such renewable energy, especially photovoltaics (PV), smart grids (SG), ulta high voltage (UHV) transmission, distributed generation, micro grids, de-regulation and e-mobility are reviewed for updating all the stake holders of it. Also, the adoption of latest technologies such as internet of things (IoT) and artificial intelligence (AI) are briefly mentioned.
Automatic learning algorithm for troubleshooting in hydraulic machinery Jose Castro-Puma; Miguel Castro-Puma; Verónica More-Sánchez; Juana Marcos-Romero; Elio Huamán-Flores; Claudia Poma-Garcia; Rufino Alejos-Ipanaque
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.pp535-544

Abstract

In Peru, there are many companies linked to the category of heavy machinery maintenance, in which, on the one hand, although it is true they generate a record of events linked to equipment maintenance indicators, on the other hand they do not make efficient use of these data generating operational patterns, through machine learning, that contribute to the improvement of processes linked to the service. In this sense, the objective of this article is to generate a tool based on automatic learning algorithms that allows predicting the location of faults in hydraulic excavators, in order to improve the management of the maintenance service. When developing the research, it was obtained that the algorithm that assembles bagged trees presents an accuracy of 97.15%, showing a level of specificity of 99.04%, an accuracy of 98.56% and a sensitivity of 97.12%. Therefore, the predictive model using the ensemble bagged trees algorithm shows significant performance in locating the system where failures occur in hydraulic excavator fleets. It is concluded then that it was possible to improve aspects associated with the planning and availability of supplies or components of the maintenance service, also optimizing the continuity and response capacity in the maintenance process.
The use of Arabic linguistic resources to develop learning applications Ilham Blanchete; Mohammed Mourchid
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.pp562-571

Abstract

This paper aims at explaining how Arabic linguistic resources are generated and exploited to enhance Arabic acquisition. We have adopted the root and pattern approach to generate our resources using the linguistic NooJ platform. This work has been carried out in two phases: generating the linguistic resources and developing the application that exploits the pre-built resources. First, we have generated three different resources: comprehensive verbs and masdar resources linked to each other. A nouns-and-adjectives resource, where nouns and adjectives are linked to their broken plural forms. NooJ calls these resources to apply linguistic analysis to a given corpus and returns detailed annotations, which provides accurate morphological, syntactical, and semantic properties of each analyzed word. We have also used the mixed nature of Arabic masdar to implement transformational rules, which generate nominal sentences from verbal ones and vice versa. Second, we have developed an application that provides valuable learning functionalities, like full/semi verb conjugation, the extraction of broken plural forms of a given singular form, the extraction of masdar forms of a given verb form, and return words that share the same root. The developed application can be used by teachers, students/learners, and computational linguists interested in Arabic acquisition.
The significance of artificial intelligent technique in classifying various grades of agarwood oil Aqib Fawwaz Mohd Amidon; Siti Mariatul Hazwa Mohd Huzir; Zakiah Mohd Yusoff; Nurlaila Ismail; Mohd Nasir Taib
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.pp261-269

Abstract

Agarwood oil quality is often separated into two or three categories. This makes classifying agarwood oil quality using current methods difficult. Current approaches rely solely on human perception to determine the quality of agarwood, whether in raw material or oil. This technique has other undesirable implications. It can affect the human sensory system, particularly the eyes and nose. Categorization takes time, which is a considerable expense to succeed in this method. As a result, a new classification system should be devised. The chemical components in agarwood oil are used to classify it in this study. In this study, samples with preprocessing data from two to five quality levels were used. The purpose is to categorize this data based on its qualities and analyze whether this new quality group is acceptable. The K-nearest neighbours (KNN) approach was used to classify all samples and their properties for this dataset. All samples may be correctly classified by grade without any errors. This shows the chemical compound-based classification of agarwood oil can be retained. With these findings, future agarwood oil research may focus on building a new classification.
Solar panels overheating protection: a review Imad Laabab; Said Ziani; Abdellah Benami
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.pp49-55

Abstract

Reduced energy consumption is a direct result of building optimization. Solar panels and heat detectors can provide the necessary power. After years of refinement and development, methods for regulating solar panels' output are finally finding their way into everyday life, where they are having a dramatic impact on the foundations of sustainability. This document provides an up-to-date assessment of several strategies for preventing solar panels from overheating, all of which serve to boost their efficiency and prolong their service life. It begins with a brief background on protection technologies before moving on to a survey of recently filed patent applications that address this topic. The study concludes with a proposed assessment of the strengths and shortcomings of these safeguards. We anticipate that the information included in this review paper will be an invaluable tool for scholars and researchers.
Application of fuzzy logic technique to track maximum power point in photovoltaic systems Kshirod Kumar Rout; Debani Prasad Mishra; Sivkumar Mishra; Gangavaram Teja Rishitha; Surender Reddy Salkuti
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.pp101-109

Abstract

The use of photovoltaic (PV) systems for generating electric power is increasing in our everyday lives but since the generated voltage and current vary non linearly it has been very difficult to trace the maximum power point (MPP) of the PV systems so to overcome with this problem many power tracking methods were introduced out of which fuzzy logic technique was found to be one of the easy and efficient maximum power point tracking (MPPT) method. In this paper, various MPPT algorithms are observed how they help in improving the efficiency of PV systems by adjusting the duty ratio of the power interface, and also understand why the fuzzy logic control (FLC) technique is preferred over other algorithms. The system was established using MATLAB/Simulink.
Design of photovoltaic system for public school building Muhammad Abdillah; Fathan Mujahid Satria; Nita Indriani Pertiwi; Herlambang Setiadi
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.pp56-65

Abstract

The increase in energy needs to support sustainable development will trigger a large additional power supply. Unfortunately, a current energy source is mostly produced by fossil fuels. This condition can affect the increase of global warming and climate change. Nowadays, many countries including Indonesia are aware of the effect of the use of fossil fuels on environmental devastation. Therefore, the use of clean energy gets more attention from many countries since its energy source is unlimited and harvested from nature. One of the clean energy sources that are widely utilized over the world is photovoltaic (PV). PV is an appropriate clean energy technology to be utilized in Indonesia since this country lies on the equator line and gets solar irradiance over the year. This paper proposed the design of PV systems for a public-school building. These PV schemes proposed in this study are classified into off-grid, on-grid, and hybrid PV systems. From the simulation results, it is shown that the hybrid PV system with energy supplied by PT. PLN (State Electricity Company) results in the highest saving annual cost and provides an environmentally friendly energy source for public-school buildings.

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