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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 2,901 Documents
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Dynamic state power system fault monitoring and protection with phasor measurements and fuzzy based expert system Ravi Ponnala; Muktevi Chakravarthy; Suraparaju Venkata Naga Lakshmi Lalitha
Bulletin of Electrical Engineering and Informatics Vol 11, No 1: February 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i1.3585

Abstract

The main aim of this paper is building of a small micro grid test bed system with a few sources, and few loads with various types of lumped resistive (R), capacitive (C) and inductive (L) elements. Before the advent of electric smart grid every load is facilitated with its own electromagnetic. Slowly with an advancement of protection system numerical relays came into existence. Because in the numerical relays the communication between the relays and communication with central computer is possible, with this a coordinative protection system was evolved. For the monitoring and protection of system in dynamic state many of the numerical relays were now replaced by intelligent electronic devices. The system is to be centrally controlled with an improvement in data communications and the artificial intelligence into power system made it is possible to control the power system centrally. In this paper, it is presented that the fault is monitoring and protection against different types of faults, such as frequency variations, voltage variations and different fault conditions using fuzzy based expert system (FBES). The proposed protection scheme is adaptive for frequency variations, voltage variations and fault levels. The FBES scheme is implemented in the LabVIEW software with MAMDANI structure.
Traffic simulation in the LoRaWAN network Almira D. Mukhamejanova; Elans A. Grabs; Kumyssay K. Tumanbayeva; Eleonora M. Lechshinskaya
Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i2.3484

Abstract

LoRaWAN is one of the most commonly used technologies serving the internet of things (IoT) and machine-to-machine (M2M) devices. The traffic growth in the LoRaWAN network gives rise to many problems, which are solved using mathematical modelling. The actual task, in this case, is the development of a traffic simulation model in the LoRaWAN network. This article discusses the issues of traffic simulation in the LoRaWAN network and its research using the MATLAB system. The authors have developed a LoRaWAN network server model as a queuing system with incoming self-similar traffic in the MATLAB system using a separate subsystem for the input traffic modelling allowing to change the number of sources in the LoRaWAN network. The simulation results made it possible to establish the dependences of the network server’s buffer memory, the probability of packet loss from the incoming self-similar traffic parameters, and reveal the possibilities of traffic modelling in the MATLAB system.
Pickup and delivery problem in the collaborative city courier service by using genetic algorithm and nearest distance Purba Daru Kusuma; Meta Kallista
Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i2.3223

Abstract

One problem in collaborative pickup delivery problem (PDP) was excessive outsourced jobs. It happened in many studies on the collaborative PDP. Besides, the revenue sharing in it was unclear although important. This work aimed to propose a novel collaborative PDP model which minimizes total travel distance while maintains low outsourced jobs. It proposed several contributions. First, it prioritized internal jobs first rather than full collaborative model. Second, it proposed new revenue sharing model. It adopted cluster-first route-second and mixed pickup and delivery. It was developed by combining the genetic algorithm and nearest distance algorithm where the genetic algorithm was used in the clustering process and the nearest distance was used in the routing process. The simulation result shows that the proposed model was better than the comparing models: (1) combined K-means and genetic algorithm model (KMGA) and (2) combined simulated annealing and last-in first-out (SNLIFO) model. When the number of orders was high (300 units), the total travel distance of the proposed model was 37 percent lower than the KMGA model and 30 percent lower than the SNLIFO model. In average, the outsourcing rate of the proposed model was 70 percent lower than the previous models.
Mobile learning by English literature students: the role of user satisfaction Ibtihal Hassan Mussa; Nurhasmiza Abu Hasan Sazalli; Zainudin Hassan
Bulletin of Electrical Engineering and Informatics Vol 11, No 1: February 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i1.3277

Abstract

The purpose of this study is to determine the predictors of using mobile learning (ML) among English literature students in Iraq. This study assumes that variables of UTAUT such as effort expectacny (EE) and performance expectancy (PE) as well as the subjective norms (SN) from theory of planned behavior (TPB) will affect the behavioral intention (BI) to use ML. BI and availability (FC) will affect the actual use (AU). In addition, user satisfaction is proposed as a mediating variable between PE, EE, and SN with BI. Data of this study was collected using a questionnaire from 240 undergraduate students. The data was analyzed using PLS. The findings showed that PE, EE and SN are important factors for the BI of ML. BI and FC significantly affected the AU. User satisfaction mediated only the effect of PE and EE on BI. Easier processes and instruction must be provided by univeristies to enhance the adoption of ML among English literature students.
Toward an optimum design of fractal sausage Minkowski antenna for GPS applications Riyadh Khlf Ahmed; Israa Hazem Ali
Bulletin of Electrical Engineering and Informatics Vol 11, No 1: February 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i1.3333

Abstract

Fractal is one of the important tools to produce efficient and well-suited antennas for navigation systems. A novel design of broadband fractal sausage Minkowski antenna is described in this research article. Sausage Minkowski is designed and simulated for global positioning system (GPS) application that relies on fractal geometry using computer simulation studio microwave (CST MW) software. The substrate sheet is Roger TMM4 has of 4.5 dielectric constant and 1.6 mm altitude. A small metallic patch over a large metallic ground layer is made of perfect electric conductor (PEC) material. The suggested fractal antenna can be used efficiently in the military applications which demand a narrow spectrum and a tiny antenna profile. By introducing four various levels of fractal iteration models and compared each one to the other. The main aim of this work is to increase antenna gain and reduce the antenna size, in addition to improving the semi-flat voltage standing wave ratio (VSWR) with respect to decreasing the resonance frequency is. For 10% decrease in the frequency for the 3rd iteration value led to a clear improvement in the antenna characteristics such as directivity, gain, and VSWR. The reflection coefficient and bandwidth remain in range.
Robust trajectory tracking with non-singular terminal sliding mode control of a mobile manipulator Shankar J. Gambhire; Dondapati Ravi Kishore; Pandurang S. Londhe; Sushant N. Pawar
Bulletin of Electrical Engineering and Informatics Vol 11, No 1: February 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i1.3457

Abstract

This effort addresses and uses a robust-trajectory-tracking control system for kinematically redundant location tracking of a mobile manipulator (mobman) in its task space in the presence of parameter uncertainties and external disturbances. It consists of a serial manipulator with four degrees of freedom (DOF) fixed on three DOF mobile bases. A robust tracking control is achieved using the configuration of a non-singular terminal sliding mode (NSTSM) control for the entire non-linear model of a mobman. Because of the non-linear added term in the linear sliding surface, which reflects in the non-linear sliding mode known as terminal sliding mode (TSM), this control preparation satisfies systems states finite time convergence. Similarly, conventional terminal sliding mode control (CTSMC) entail singularity trouble, which is tackled by the control scheme. (Computer based) simulations are used to demonstrate the convenience, feasibility, and robustness of given techniques.
Model to enhance knowledge sharing process in academia during COVID-19 Zainab Amin Alsulami; Hayder Salah hashim; Zaid Ameen Abduljabbar
Bulletin of Electrical Engineering and Informatics Vol 11, No 1: February 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i1.3543

Abstract

Knowledge sharing (KS) is considered one of the essential processes of knowledge management (KM). Recently, the emerging Web 2.0 technologies were used by academicians and students for KS during the COVID-19 pandemic. The purpose of this study is to identify the factors that affect the knowledge-sharing process through Web 2.0 (KSWT 2.0) technologies and their impact on academic performance within higher educational institutions (HEIs) in Iraq. The technology-organization-environment (TOE) theory was used in this study to develop the conceptual framework. The population includes students and academicians at Basrah University in Iraq. Using stratified random sampling, a total of 415 academicians and students participated in this study. The results revealed that the most significant factors that positively affect KSWT 2.0 technologies were the technological factor such as relative advantage, compatibility. From the organisational factor academicians’ skills and knowledge, and from environmental factor, the peer pressure. In addition, the results proved that the KSWT 2.0 technologies positively maximised academic performance. The results presented in this study are valuable for Iraqi universities that implement or aim to use Web 2.0 technologies in the knowledge-sharing process.
Combined EEMD and ANN improved by GA for tourist visit forecasting Muhammad Latif; Sri Herawati
Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i2.3566

Abstract

This study has proposed forecasting tourist visits use an ensemble empirical mode decomposition (EEMD) and optimized artificial neural networks (ANN) using genetic algorithms (GA). The data used is monthly data on tourist visits in Sumenep Regency. The data was obtained from the Sumenep district government from January 2015 to December 2019. EEMD algorithm breaks down tourist visit data into several intrinsic mode function (IMF) and residues. Then, EEMD results was normalized and then learned using ANN. GA is used to optimize weight and bias of the ANN. Experiments carried out to analyze performance in forecast results of proposed method compared with the EEMD-ANN without optimization of the GA. The experimental results show that the proposed method has better performance, namely the error value is reduced by 37%, 21% for MSE, RMSE, respectively.
Secure lightweight obfuscated delay-based physical unclonable function design on FPGA Mohammad Haziq Ishak; Mohd Syafiq Mispan; Wong Yan Chiew; Muhammad Raihaan Kamaruddin; Mikhail Aleksandrovich Korobkov
Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i2.3265

Abstract

The internet of things (IoT) describes the network of physical objects equipped with sensors and other technologies to exchange data with other devices over the Internet. Due to its inherent flexibility, field-programmable gate array (FPGA) has become a viable platform for IoT development. However, various security threats such as FPGA bitstream cloning and intellectual property (IP) piracy have become a major concern for this device. Physical unclonable function (PUF) is a promising hardware fingerprinting technology to solve the above problems. Several PUFs have been proposed, including the implementation of reconfigurable-XOR PUF (R-XOR PUF) and multi-PUF (MPUF) on the FPGA. However, these proposed PUFs have drawbacks, such as high delay imbalances caused by routing constraints. Therefore, in this study, we explore relative placement method to implement the symmetric routing in the obfuscated delay-based PUF on the FPGA board. The delay analysis result proves that our method to implement the symmetric routing was successful. Therefore, our work has achieved good PUF quality with uniqueness of 48.75%, reliability of 99.99%, and uniformity of 52.5%. Moreover, by using the obfuscation method, which is an Arbiter-PUF combined with a random challenge permutation technique, we reduced the vulnerability of Arbiter-PUF against machine learning attacks to 44.50%.
Design of triband antenna for telecommunications and network applications Noor Qusay A. AlShaikhli; Mustafa Abdulkadhim Neamah; Mohammed Imad Aal-Nouman
Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i2.3233

Abstract

In today’s world, the need for multifunctioning with the minimum possible physical size of the appliances has gone very vast. This paper presents a novel triband microstrip antenna with two slit cuts that is designed and simulated by exploiting CST microwave studio suite 2016. Proposed antenna is composed of one square patch on the top layer and an incised ground bottom layer. Designed antenna operates on three wireless bands and can be utilized for various wireless and networking applications. Bands of interest are 3.3 GHz (lower WIMAX and possibly sub-6 GHz 5G applications), 4.5 GHz (data link system for UAV drones) and 5.8 GHz (WLAN). This work also focuses on the physical layer of the TCP/IP networking Paradigm model, the optimized design and fabrication in the physical layer is vital because any design issue will create a bottlenecking effect even if the upper networking layer were optimized. Designing an efficient wireless antenna will benefit service providers as they will depend on such robust physical layer to push more traffic reliably and efficiently. Antenna is low profile, with low fabrication cost. Antenna size is 29.6×30.5×1.5 mm3. Parameters such as input reflection coefficient and far-field radiation pattern have been simulated and analyzed.

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