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Bulletin of Electrical Engineering and Informatics
Published by Universitas Ahmad Dahlan
ISSN : -     EISSN : -     DOI : -
Core Subject : Engineering,
Electrical & Electronics Engineering
Bulletin of Electrical Engineering and Informatics (Buletin Teknik Elektro dan Informatika) ISSN: 2089-3191, e-ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the global world. The journal publishes original papers in the field of electrical, computer and informatics engineering.
Arjuna Subject : -
Articles 64 Documents
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Search results for , issue "Vol 12, No 2: April 2023" : 64 Documents clear
DDoS attacks detection using machine learning and deep learning techniques: analysis and comparison Mahmood A. Al-Shareeda; Selvakumar Manickam; Murtaja Ali Saare
Bulletin of Electrical Engineering and Informatics Vol 12, No 2: April 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i2.4466

Abstract

The security of the internet is seriously threatened by a distributed denial of service (DDoS) attacks. The purpose of a DDoS assault is to disrupt service and prevent legitimate users from using it by flooding the central server with a large number of messages or requests that will cause it to reach its capacity and shut down. Because it is carried out by numerous bots that are managed (infected) by a single botmaster using a fake IP address, this assault is dangerous because it does not involve a lot of work or special tools. For the purpose of identifying and analyzing DDoS attacks, this paper will discuss various machine learning (ML) and deep learning (DL) techniques. Additionally, this study analyses and comparatives the significant distinctions between ML and DL techniques to aid in determining when one of these techniques should be used.
Faults detection, location, and classification of the elements in the power system using intelligent algorithm Ali Abbawi Mohammed Alabbawi; Ibrahim Ismael Alnaib; Omar Sharaf Al-Deen Yehya Al-Yozbaky; Karam Khairullah Mohammed
Bulletin of Electrical Engineering and Informatics Vol 12, No 2: April 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i2.4456

Abstract

This study proposes an intelligent protection relay design that uses artificial neural networks to secure electrical parts in power infrastructure from different faults. Electrical transformer and transmission lines are protected using intelligent differential and distance relay, respectively. Faults are categorized, and their locations are pinpointed using three-phase current values and zero-current characteristics to differentiate between non-earth and ground faults. The optimal aspects of the artificial neural network were chosen for optimal results with the least possible error. Levenberg-Marquardt was established as the ideal training technique for the suggested system comprising the differential relay. Levenberg-Marquardt was the optimal training technique for the proposed framework consisting of the differential relay. Fault detection and categorization were performed using 20 and 50 hidden layers, and the corresponding error rates were 9.9873e-3 and 1.1953e-29. In the context of fault detection by the distance relay, the hidden layer neuron counts were 400, 250, and 300 for fault detection, categorization, and location; training error rates were 7.8761e-2, 1.2063e-6, and 1.1616e-26, respectively.
Modeling of power numerical relay digitizer harmonic testing in wavelet transform Emad Awada; Eyad Radwan; Mutasim Nour; Aws Al-Qaisi; Ayman Y. Al-Rawashdeh
Bulletin of Electrical Engineering and Informatics Vol 12, No 2: April 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i2.4553

Abstract

In today’s modern power devices and rapid growth power demands, the need for precise and accurate protection relays is a must for the power distribution system. That is, to segregate faulty sectors within fewer cycles, power relays should perform at the highest level of accuracy to detect abnormal conditions in power distribution. Therefore, this work will investigate the enhancement of the numerical relay testing in terms of harmonic distortions effect on the digitized output waveform as direct causes of relay failures. However, as it is an expensive process of testing the digitizing element of the numerical relay, this paper proposes a new algorithm of Wavelet transforms in power quality signal processing testing using MATLAB simulation. As this newly proposed method of advanced waveform analysis algorithm will enhance the testing process of digitizing elements, and reduce data compiling complexity, a comparison between conventional Fourier Transforms testing and Wavelet algorithm under abnormal conditions will be simulated based on inserting multi harmonics effect. As a result, based on the Wavelet bank of filters, de-noising, and decomposition structure filters, Wavelet has provided promising results in defining the effect of waveform distortion tripping time, fault location, total harmonic distortion, signal-to-noise ratio, and spurious-free dynamic range.
Budget and capabilities of information technology governance: empirical analysis in higher education institutes Vicente Merchan-Rodríguez; Danny Zambrano-Vera
Bulletin of Electrical Engineering and Informatics Vol 12, No 2: April 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i2.4302

Abstract

Despite empirical improvements in Ecuador's higher institutes in preparing for information technology (IT) governance, much remains to be done to improve understanding of the maturity of governance structures, processes, and relational mechanisms with the referential budget allocated to IT departments. In this sense, the objective of the work is to analyze the maturity of the IT governance mechanisms and the referential budget allocated, from the relational and predictive point of view, going through a descriptive process. The data that was analyzed comes from the 2020 opinion survey, conducted by a group of researchers with support from the National Secretariat of Higher Education, Science, Technology, and Innovation of Ecuador (SENESCYT). In total, 18 institutes completed the survey with budget information. The findings show the considerable absence of internal processes, weak positive and negative relationship between variables; and the low level of maturity of the mechanisms of IT governance capacities, for the time being, is not significant for the institutional budget. In conclusion, this analysis can provide a baseline to assist in the preparation of action plans for institution-building. In addition, it allowed identifying several weaknesses and strengths, not only in institutions but also in research.
ArSentBERT: fine-tuned bidirectional encoder representations from transformers model for Arabic sentiment classification Mohamed Fawzy Abdelfattah; Mohamed Waleed Fakhr; Mohamed Abo Rizka
Bulletin of Electrical Engineering and Informatics Vol 12, No 2: April 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i2.3914

Abstract

Sentiment analysis in the Arabic language is challenging because of its linguistic complexity. Arabic is complex in words, paragraphs, and sentence structure. Moreover, most Arabic documents contain multiple dialects, writing alphabets, and styles (e.g., Franco-Arab). Nevertheless, fine-tuned bidirectional encoder representations from transformers (BERT) models can provide a reasonable prediction accuracy for Arabic sentiment classification tasks. This paper presents a fine-tuning approach for BERT models for classifying Arabic sentiments. It uses Arabic BERT pre-trained models and tokenizers and includes three stages. The first stage is text preprocessing and data cleaning. The second stage uses transfer-learning of the pre-trained models’ weights and trains all encoder layers. The third stage uses a fully connected layer and a drop-out layer for classification. We tested our fine-tuned models on five different datasets that contain reviews in Arabic with different dialects and compared the results to 11 state-of-the-art models. The experiment results show that our models provide better prediction accuracy than our competitors. We show that the choice of the pre-trained BERT model and the tokenizer type improves the accuracy of Arabic sentiment classification.
An optimal motion path planning control of a robotic manipulator based on the hybrid PI-sliding mode controller Wisam Essmat Abdul-Lateef; Yaser Nabeel Ibrahem Alothman; Sabah Abdul-Hassan Gitaffa
Bulletin of Electrical Engineering and Informatics Vol 12, No 2: April 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i2.3968

Abstract

This paper proposes a hybrid proportional-integral (PI-sliding) mode controller to improve and adjust the point-to-point path planning of a three-link robotic arm with three degrees of freedom. The main objectives of the proposed control unit are to control the tracking process to reach the desired path handle the outgoing vibrations, and dampen them in the links of the robotic arm during its movement to ensure accuracy in completing the work. Seventh-degree polynomial paths represented the segments of locomotion connecting the first, middle, and last points at the combined space through predefined route points via minimal travel time. While not exceeding a predetermined maximum torque, without hitting any obstacle in the robot's workspace. The results showed that the proposed control design provides a robust control performance and fast response corresponding with conventional sliding mode controller (SMC) and PI controller. Then the outcomes provide the best results for the demanded mission according to the whished intakes with minimal error. The system equations are solved using the techniques available in MATLAB software then the results of the model are validated by the results of simulations.
Implementation and performance evaluation of multi level pseudo random sequence generator Hadeer Hussein Ali; Hadi T. Ziboon; Ashwaq Q. Hameed
Bulletin of Electrical Engineering and Informatics Vol 12, No 2: April 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i2.3363

Abstract

In this paper, introduce a proposed multi-level pseudo-random sequence generator (MLPN). Characterized by its flexibility in changing generated pseudo noise (PN) sequence according to a key between transmitter and receiver. Also, introduce derive of the mathematical model for the MLPN generator. This method is called multi-level because it uses more than PN sequence arranged as levels to generation the pseudo-random sequence. This work introduces a graphical method describe the data processing through MLPN generation. This MLPN sequence can be changed according to changing the key between transmitter and receiver. The MLPN provides different pseudo-random sequence lengths. This work provides the ability to implement MLPN practically in more than one method such as microcontroller or field programmable gate array (FPGA). In this paper discusses MLPN performance using MATLAB as compared with golden PN sequence generator with different modulation schemes such as binary phase-shift keying (BPSK), quadrature phase-shift keying (QPSK), and quadrature amplitude modulation 16QAM. The simulation results show that MLPN performs almost likely golden PN sequence but sure with advantage its flexibility to change generated MLPN between transmitter and receiver. The MLPN sequence is applicable in the same field of PN sequence applications such as code division multiple access (CDMA), spread spectrum system (SSS), and data scrambling.
Adaptive Ɩ0-LMS based algorithm for solution of power quality problems in PV-STATCOM based system Nimita A. Gajjar; Tejas Zaveri; Naimish Zaveri
Bulletin of Electrical Engineering and Informatics Vol 12, No 2: April 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i2.4174

Abstract

This paper presents grid tied PV-STATCOM system using an adaptive Ɩ0-LMS based control algorithm. The proposed Ɩ0-LMS with adaptive zero attractor is used for single stage grid connected PV-STATCOM system and it highlights the performance of system for maintaining unity power factor, reducing harmonics and zero voltage regulation with nonlinear and unbalanced load. In this the Ɩ0norm constraint LMS algorithm, the optimal value of zero attractor is time varying instead of a fixed value such that it gives better results with variable input systems such as PV power. The system is tested on a low cost prototype developed using STM32F407VG microcontroller and the results are found satisfactory.
Cuckoo filter based IP packet filtering using M-tree Aladdin Abdulhassan; Roaa Shubbar; Mohammad Alhisnawi
Bulletin of Electrical Engineering and Informatics Vol 12, No 2: April 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i2.4202

Abstract

Internet protocol (IP) packet filtering as a firewall (FW) technology is one of the most widely researched networks functions over the past two decades. IP packet filtering is the process of filtering incoming and outgoing network packets by matching several packet headers fields with thousands of predefined filters known as filter-set. With the development of modern network technologies such as software-defined networking (SDN) and the increase in attacks threatening network security, attention has become focused on IP packet filtering. With the growing size and number of filter-sets, it becomes a challenge to perform IP packet filtering at wire-speed. In this paper, a new method is proposed for IP packet filtering, where two data structures were combined to produce a new data structure suitable for IP packet filtering with high performance and support dynamic access to filters as well as support approximate membership query. Experimental results show that the proposed method has a high throughput of 10.8 mega packets per second (MPpS) with high filtering accuracy and low memory requirements to working on big filter-sets (up to 1 mega filters).
Application of named entity recognition method for Indonesian datasets: a review Indra Budi; Ryan Randy Suryono
Bulletin of Electrical Engineering and Informatics Vol 12, No 2: April 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i2.4529

Abstract

A name entity (NE) is a proper name that designates a person, location, or organization. For humans, named entity recognition (NER) is a straightforward process insofar as many named entities are self-names, and most of them have initial capital letters and can be easily recognized, but it is very difficult for machines. This study discusses research trends in the application of NER to Indonesian datasets, particularly as it concerns certain tasks, datasets, methods/techniques, and entity labels. By conducting a systematic literature review (SLR) and bibliometric analysis with VOSviewer, this article hopes to provide opportunities for adopting old methods, combining models from previous research, and even proposing new methods. In addition, the motivation for doing SLR at NER is to look for new strategies in the supervision of financial technology (Fintech). If machines can find illegal Fintech entities on social media and online news, it can help the government to block these illegal Fintech entities. To this end, this study provides an overview of research trends in applying the NER method to Bahasa Indonesia (Indonesian) datasets, including the extraction of news articles, the monitoring of floods, and traffic.

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