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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 26, No 2: May 2022" : 64 Documents clear
Enhancing extreme learning machines classification with moth-flame optimization technique Oyekale Abel Alade; Roselina Sallehuddin; Nor Haizan Mohamed Radzi
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp1027-1035

Abstract

Extreme Learning Machine (ELM) algorithm assigns the input weights and biases in a “one-time stamp” fashion, this method makes the algorithm to be ill-conditioned and reduces its classification accuracy. The contribution of this work is the enhancement of the performance of ELM with the Moth-Flame Optimization (MFO) algorithm to improve classification accuracy. A hybrid of the Moth-Flame Optimization and Extreme Learning Machine (MFO-ELM) algorithm is implemented in MATLAB. MFO ensures a concurrent simulation of exploration and exploitation of the search space to select an optimum candidate solution. The candidate solution is reshaped into input weights and biases for ELM classification. The hybrid algorithm is validated on five life-selected datasets. The performance improvement of MFO-ELM is compared with ELM-optimized Particle Swarm Optimization (PSO-ELM) and Competitive Swarm Optimization (CSO-ELM) algorithms. The improvement rates are qualitatively and quantitatively evaluated to show the improvement of MFO-ELM on ELM and the other meta-heuristic algorithms. MFO-ELM improved the accuracies of the basic ELM in all 100% of the simulations and performed better than the other meta-heuristic algorithms in 80% of the simulations. The performance of MFO-ELM is more competitive, and it is recommended for solving classification problems.
Performance improvement on spectral efficiency and peak to avearge power reduction for 5G system Kavitha Thandapani; Ganesamoorthy Raju; Maniganda Pujali
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp888-894

Abstract

Filter bank multicarrier with offset quadrature amplitude modulation (FMBC/OQAM) system which can offer higher data rate 1 Gbps and improved bandwidth efficiency because of not require of cyclic prefix (CP) to avoid interference from the adjacent channels compared to fourth generation (4G) orthogonal frequency division multiplexing (OFDM) and other wireless systems. Because of these advantages FBMC/OQAM are used in fifth generation (5G) technology. In this FBMC/OQAM system, bandwidth capacity will be further increased by using multiple input multiple output (MIMO) channel. But in our proposed scheme we can use hyper–MIMO channel, in which at base station (BS) more number of transmitting antennas are used that for the improve the spectral efficiency performance better than traditional MIMO channel. But the most important drawback of hyper MIMO FBMC/OQAM is the higher peak to average-power ratio (PAPR) that degrade overall system performance in 5G. In 4G technology, to reduce PAPR a number of techniques are used. In our proposed system we can use mu-law non-linear companding technique and precoding discrete cosine transform (DCT) to reduce PAPR value for multicarrier modulation system compare to other systems.
Performance analysis of intrusion detection for deep learning model based on CSE‑CIC‑IDS2018 dataset Baraa Ismael Farhan; Ammar D. Jasim
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp1165-1172

Abstract

The evolution of the internet of things as a promising and modern technology has facilitated daily life. Its emergence was accompanied by challenges represented by its frequent exposure to attacks and its being a target for intruders who exploit the gaps in this technology in terms of the nature of its heterogeneous data and its large quantity. This made the study of cyber security an urgent necessity to monitor infrastructures It has network flaw detection and intrusion detection that helps protect the network by detecting attacks early and preventing them. As a result of advances in machine learning techniques, especially deep learning and its ability to self-learning and feature extraction with high accuracy, the research exploits deep learning to analyze the real data set of CSE-CIC-IDS2018 network traffic, which includes normal behavior and attacks, and evaluate our deep model long short-term memory (LSTM), That achieves accuracy of detection up to 99%.
Induction motor drive based on modular-multilevel converter with ripple-power decoupling channels Enaam Abdul-Khaliq Ali; Turki Kahawish Hassan
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp675-688

Abstract

A driving system for a three-phase variable-speed induction machine-based modular multilevel converter (MMC) with magnetic channels operating at high frequencies -connecting adjacent-arm submodules is displayed in this paper. The primary disadvantage of using MMC in variable-speed motors is a high voltage ripple generated by submodule capacitors at low speeds with constant torque. This study utilises the DHB modules as energy channels, exchanging between the SM capacitors to correct the power imbalance. The ripple power of adjacent-arm SMs may be entirely decoupled, outcomes a virtually fluctuation-set free SM capacitor voltage design. Thus, the typical MMC issue of significant ripple voltage between SM capacitors has been wholly addressed regardless of operating frequency. The design and analysis of Field Oriented Control (FOC) of induction motors is based on an algorithm that ensures the motor's efficiency across a broad speed range. In this paper, we achieved a tiny ripple in the capacitive voltage for some frequencies (50Hz, 25Hz, 10Hz, 5Hz) by (±0.25%) compared with the previous papers that achieved a reduction in ripple within (±5%), and also this system was compared with the traditional system method operating principle was presented analytically and verified using Matlab Simulink.
A computationally efficient non-coherent technique for wireless relay networks Samer Alabed; Aymen I. Zreikat; Mohammad Al-Abed
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp869-877

Abstract

This article introduces a full-rate differential distributed orthogonal space-time coding technique using the amplify-and-forward protocol. The proposed technique has a markedly low encoding and decoding complexity at all transmitting and receiving terminals. Furthermore, the method does not need either differential encoding or channel state information at any transmitting or receiving terminal where the information symbols are directly transmitted. Instead, the differential detection scheme is performed at the destination terminal. In our simulations, the performance of the suggested technique is performed by computer simulations in Rayleigh fading channel, using the amplify-and-forward protocol, to show that our proposed differential technique outperforms the corresponding reference techniques
Predictions and visualization for confirmed, recovered and deaths COVID-19 cases in Iraq Wisam Dawood Abdullah; Abdulrahman Ahmed Jasim; Layth Rafea Hazim
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp1197-1205

Abstract

The 2019-2020 coronavirus pandemic is an emerging infectious disease that has been referred to as the "COVID-19", which results from the coronavirus "sars-cov-2" that started in Wuhan, China, in Dec. 2019 and then spread worldwide. In this paper, an attempt for compiling and analyzing the information of the epidemiological outbreaks on "COVID‐19" based upon datasets on "2019‐nCoV" has been presented. An empirical data analysis with the visualizations was conducted for understanding the numbers of the variety of the cases that have been reported (i.e. confirmed, deaths, and recoveries) in and outside of Iraq and carried out a dynamic map visualization of the "Covid-19" expansion in a global manner through the date wise and in Iraq. We an investigation has been carried out as well, which characterized the pandemic effects Iraq and the entire world, with the use of machine learning. A k nearest neighbors' (KNN) model and a linear regression (LR) model have been proposed.This paper included the precise analysis of the confirmed cases, as well as the recovered cases, deaths, predicting the pandemic viral attacks and how far it is expanding in Iraq and the world, the LR model got the highest results, reaching 100 percent.
An improved approach for managing energy efficiency in mobile networks Radhwan M. Abdullah; Ayad H. Abdulqader; Dia M. Ali; Ali A. Alwan; Abedallah Z. Abualkishik
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp955-964

Abstract

It is highly expected that soon there will be environmental and economic negative implications from the amount of energy consumed by wireless network devices. Therefore, many researchers have paid attention toward addressing these challenges to investigate the impact of these wireless networks on both environment and the economy. This paper proposes an approach for alternating work among the fifth generation (5G) with Long-Term Evolution (LTE) wireless networks. The idea of the proposed approach relies on turning off specific base stations (BSs) and antennas for the users based on the required quality of service (QoS). Some BSs like 5G networks aim to provide high-speed communications with significant savings in energy consumption during high traffic periods. On the other hand, there is a slow speed with the high consumption of energy in other BSs like LTE networks. Our proposed solution employs the idea of activating some of the BSs networks and changing the number of active antennas that achieves optimal results for the entire area. Doing so lead to a significant reduction in energy consumption when the traffic load is low. The experimental results illustrate that our proposed solution outperforms the most recent approaches by saving a significant amount in power consumption while maintaining a stable service awareness during switching situations.
Collaborative learning through virtual tools: Analysis of the perception of student satisfaction of teaching performance Omar Chamorro-Atalaya; Belmira Marcelo-Veliz; Guillermo Morales-Romero; Nicéforo Trinidad-Loli; Darío Villar-Valenzuela; Beatriz Caycho-Salas; César León-Velarde
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp1082-1090

Abstract

The objective of this article is to identify the results of the evaluation of collaborative learning through technological tools as part of the pedagogical strategies in the virtual teaching process. For the evaluation, the SERVQUAL model was used, through which it was identified that 97.73% satisfactorily evaluate the reliability and security of pedagogical strategies through technological tools used in collaborative learning in the teaching process in virtual environments. The optimal evaluation regarding the reliability of collaborative learning is 100% related to compliance with the syllable, to the teacher's disposition to help them in the use of technological tools and to the conformity of the technological tools used in the subject. Regarding the security of collaborative learning, 100% of the satisfactory evaluation is related to the trust and kindness that the teacher transmitted with the use of technological tools in teaching in virtual environments.
A simple architecture for high performance class-D audio amplifier with novel RC network as negative feedback loop Nour El Imane Bellili; Khaled Bekhouche
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp707-713

Abstract

In this work, we have designed and simulated a proposed architecture and good performances single-ended class-D audio amplifier (CDA). The proposed circuit is build using pulse-width modulation (PWM). We have proposed a novel RC network as negative feedback loop attached to a second-order integrator to get free of high-frequency carrier ripples and to reach improved output accuracy, thus improved performance and efficiency. This proposed negative feedback loop extremely reduces total harmonic distortion plus noise (THD+N). We have used a passive second-order butterworth output filter. This circuit fulfills a power supply rejection ratio (PSRR) of 75 dB, a THD+N of 0.004%, 3 times less than attained by usual feedback loop. The proposed circuit with quiescent current of 0.02 mA, signal to noise ratio (SNR) of 89 dB, and peak efficiency of 90% is running at 400 kHz switching frequency. The results of simulation demonstrate that this circuit significantly keeps up with the performance of other circuits but taking advantage of its simple architecture.
Improved cluster to normal ratio protocol for increasing the lifetime of wireless sensor networks Abraham S. Martey; Ebenezer Esenogho
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp1135-1147

Abstract

The wireless sensor network (WSN) is a decentralized network that allows sensor nodes to freely join and quit the network, making it a unique network type that varies from centralized systems in which the fusion center decides on entry and exit. However, one of the key drawbacks of these networks is that the sensor nodes are small and located in remote areas. As a result, energy usage must be efficiently managed. In order to limit energy consumption, an efficient clustering protocol approach is necessary, which may be performed by dividing the networks into clusters and selecting cluster heads depending on the remaining energy and sensor distance. The energy hole problem has an impact on the performance of an energy-efficient technique. As a result, this work aims to extend the lifespan of WSNs, the goal of this research is to make the cluster to normal ratio (CTNR) Protocol better. Data forwarding nodes are added to the CTNR protocol hierarchy to enable hopping and avoid consuming nodes in order to solve the energy hole problem (sink). The proposed method is implemented in Matlab, and the results are compared to literature on energy usage and the amount of dead and living nodes. In terms of the performance indicators given, the results reveal that our proposed scheme beat others.

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