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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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Field-oriented control based on adaptive neuro-fuzzy inference system for PMSM dedicated to electric vehicle Imene Djelamda; Ilhem Bouchareb
Bulletin of Electrical Engineering and Informatics Vol 11, No 4: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i4.3818

Abstract

Permanent magnet synchronous motor (PMSM) speed control is generally done using flux-oriented control, which uses conventional proportional-integral (PI) current regulators, but still remain the problem of calculating the coefficients of these regulators, particularly in the case of control hybridization, the development of artificial intelligence has simplified many calculations while giving more accurate, and improved results, this paper presents and compares the performance of the flux oriented control (FOC) of a PMSM powered by pulse width modulation (PWM) using PI regulator, fuzzy logic control (FLC) and adaptive neuro-fuzzy inference system (ANFIS), in this work we present another approach of a neuro ANFIS using the hybrid combination of fuzzy logic and neural networks. This ANFIS is a very powerful tool and can be applied to various engineering problems. To make up for the deficiency of fuzzy logic controller. To understand the performance, characteristics, and influence of each controller on the system response, we use MATLAB/Simulink to model a PMSM (0.5 kW) powered by a three-phase inverter and controlled by the FOC, FOC-FLC, and FOC-ANFIS.
Window averaging to create LBP features for a color image Ghazi M. J. Qaryouti; Monzer M. Krishan; Monther A. Kanan; E. Ziad M. Alasmer
Bulletin of Electrical Engineering and Informatics Vol 11, No 4: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i4.3605

Abstract

Digital color images are widely used in various computer applications. Some of these applications such as digital image recognition systems require dealing with image classifiers which can be formed as a set of values representing the image. In this paper a simple method of image features victor creation will be proposed, the method will be tested and implemented, the obtained experimental results will be analyzed to ensure that each generated features victor is unique. The proposed method will be based on a window averaging, the window size can be easily changed without affecting the features victor size.
Spatial interpolation method comparison for physico-chemical parameters of river water in Klang River using MATLAB Azhar Jaffar; Norashikin M. Thamrin; Megat Syahirul Amin Megat Ali; Mohamad Farid Misnan; Ahmad Ihsan Mohd Yassin; Noorolpadzilah Mohamed Zan
Bulletin of Electrical Engineering and Informatics Vol 11, No 4: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i4.3615

Abstract

Water quality is one of the most highly debated issues worldwide at the moment. Inadequate water supplies affect human health, hinder food production, and degrade the environment. Using contemporary technology to analyze pollution statistics can help solve pollution issues. One option is to take advantage of advancements in intelligent data processing to conduct hydrological parameter analysis. To perform conclusive water quality studies, a lot of data is necessary. Unfilled data (information gaps) in the long-term hydrological data set may be due to equipment faults, collection schedule delays, or the data collection officer’s absence. The lack of hydrological data skews its interpretation. Therefore, interpolation is used to recreate and fill missing hydrological data. From 2012 to 2017, the Klang River’s biochemical oxygen demand (BOD) in Selangor, Malaysia, was sampled. This study examined three methods of interpolation for their effectiveness using the MATLAB software: piecewise cubic hermite interpolating polynomial (PCHIP), cubic Spline data interpolation (Spline), and modified Akima partitioned cubic hermite interpolation (Makima). The accuracy is assessed using root mean square error (RMSE). All interpolation algorithms offer excellent results with low RMSE. However, PCHIP delivers the best match between interpolated and original data.
The effects of material’s features and feeding mechanism on high-gain antenna construction Hamed A. Al-Falahi; Drai Ahmed Smait; Sami Abduljabbar Rashid; Sarmad Nozad Mahmood; Sameer Alani
Bulletin of Electrical Engineering and Informatics Vol 11, No 4: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i4.3648

Abstract

This study investigates the performance of flexible, wideband antennas with high gain properties. The high gain feature can often be obtained by positioning a reflector in the same planes as the adjacent radiator. For flexibility, this survey discusses the antennas that were printed on the flexible substrate materials. Based on these properties, the antenna can be recognized in a variety of wireless applications, including wireless local-area-network (WLAN), Worldwide Interoperability for microwave access (WI-Max), wireless body area network (WBAN), and radio frequency identification (RFID), as well as wearable applications. The high-gain antennas are compact radio wave-based antennas that provide precise radio transmission management. Such antennas deliver more energy to the receiver, increasing the frequency of the received signal. By gathering more power, high-gain antennas may emit signals quicker. Furthermore, because directional antennas broadcast fewer signals from the main wave, interference may be greatly minimized. Finally, this article identifies the role of lightweight high gain flexible antennas in terms of their size, substrate materials, design, and feeding mechanisms, all of which can affect bandwidth, gain, radiation efficiency, and other important factors.
Study of ZnS:Mn2+,Te2+ phosphor for improving the hue rendering indicator of WLEDs Van Liem Bui; Nguyen Thi Phuong Loan; Phan Xuan Le
Bulletin of Electrical Engineering and Informatics Vol 11, No 4: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i4.4061

Abstract

This research combines a phosphor-in-glass (PiG) YAG:Ce3+ with a red liquid-type quantum dot (LQD) to invent high-quality white light-emitting diodes (WLEDs). When the PiG LQD-built WLEDs reach 100 mA, they provide heated white illumination offering an outstanding color rendering index (CRI) (Ra=93.9, R9=97.7, and R13=98.1). The luminescent efficiency (LE) and correlating chromatic temperature, correspondingly, are 62 lm/W and 3764 K. In comparison to PiG integrated with solid-kind quantum dot, it has great LE, remarkable CRI, and lower top layer temperature because of self-aggregation and impediment in the outside flaws in semiconductor quantum dots (QDs) of the solid-condition, as well as effective thermal dissipation. The findings suggest that the produced WLEDs could be potential in high-quality lighting applications.
High efficiency dielectric resonator antenna using complementary ring resonator for bandwidth enhancement Aymen Dheyaa Khaleel Al-Obaidi; Osman Ghazali; Massudi Mahmuddin; Ahmed Jamal Abdullah Al-Gburi; Mohammed Najah Mahdi Al-Niamey; Mohd Fais Mansor
Bulletin of Electrical Engineering and Informatics Vol 11, No 4: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i4.3681

Abstract

A complementary ring resonator (CRR) technique is used to improve the bandwidth of the dielectric resonator antenna (DRA) while maintaining other parameters such as the efficiency and the gain. Parametric experiments were conducted in order to demonstrate the suggested antenna's working guideline. The bandwidth of the proposed Antenna is boosted by 769 percent as compared to the antenna without the CRR technique. The proposed antenna has high efficiency of 94 percent and a tiny dimension of around 30×30×12 mm. The suggested antenna has a frequency range from 2.61 to 3.65 GHz, which is suitable for S-band applications. Computer simulation technology (CST) was used to implement the design and obtain the results.
Taguchi's T-method with nearest integer-based binary bat algorithm for prediction Zulkifli Marlah Marlan; Khairur Rijal Jamaludin; Faizir Ramlie; Nolia Harudin
Bulletin of Electrical Engineering and Informatics Vol 11, No 4: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i4.3859

Abstract

Taguchi’s T-method is a new prediction technique under the Mahalanobis-Taguchi system to predict unknown output or future states based on available historical information. Conventionally, in optimizing the T-method prediction accuracy, Taguchi’s orthogonal array is utilized to determine a subset of significant features to be used in formulating the optimal prediction model. This, however, resulted in a sub-optimal prediction accuracy due to its fixed and limited feature combination offered for evaluation and lack of higher-order feature interaction. In this paper, a swarm-based binary bat optimization algorithm with a nearest integer discretization approach is integrated with the Taguchi’s T-method. A comparative study is conducted by comparing the performance of the proposed method against the conventional approach using mean absolute error as the performance measure on four benchmark case studies. The results from experimental studies show a significant improvement in the T-method prediction accuracy. A reduction in the total number of features results in a less complex model. Based on the general observation, the nearest integer-based binary bat algorithm successfully optimized the selection of significant features due to recursive and repetitive searchability, in addition to its adaptive element in response to the current best solution in guiding the search process towards optimality.
Measurement and analysis of conductor surface temperature in dependence of current variation Ali Hlal Mutlaq; Mahmood Ali Ahmed; Diadeen Ali Hameed; Ghanim Thiab Hasan
Bulletin of Electrical Engineering and Informatics Vol 11, No 5: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i5.3915

Abstract

The reliability and service life of power cables is closely related to the cable ampacity and temperature rise in the power cable. In a conductor carries AC current, complex processes may appear, which directly affect the temperature of the conductor surface. So, to keep a conductor in a good state, it is necessary to maintain the conductor temperature in a acceptable value. In this paper, a procedure for measuring the temperature of conductor surface and the corresponding numerical processing of measurement results has been presented. The measurement of the temperature probe characteristics and the temperature measurement on the surface of the conductor, both required the use of certain numerical methods, such as interpolation and fitting of the measured values in time diagrams. The procedure was applied to three copper conductors with different cross section area and one aluminum conductor and the final results are presented graphically, in the form of time diagrams.
Chattering reduction in step down converter using robust reaching law Sridhara Somaguddu Ningappa; Siddesh Kondapur Basavarajan; Sudharashan Mungasavalli Katappa; Sandeep Velur Ramareddy; Lavakumar Tavane Basavarajappa
Bulletin of Electrical Engineering and Informatics Vol 11, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i3.3790

Abstract

The proposed robust reaching law for sliding mode control is used for chattering suppression, minimization of steady state error and reaching speed kept fast. With fine tuning parameters of robust reaching law, the system state reaches the sliding mode at the earliest. The mathematical analysis of the proposed reaching law is verifed. In one hand, they guarantee the system states reaches the sliding surface quickly and remain on it, in another way it deteriorate the chattering effectively, even unmatched certainties and disturbances. Such that the system response can better realize the unification of rapidity. A proposed reaching law applied to SMC DC-DC step down converter to analyse the chattering, it reduces the switching losses in the switching devices of the step down converter. In turn efficiency of the buck converter increases. MATLAB/Simulink results gives significant turn down of chattering and dynamic response of the system. This research work effectively improves the performance of the system.
Machine learning in handling disease outbreaks: a comprehensive review Dianadewi Riswantini; Ekasari Nugraheni
Bulletin of Electrical Engineering and Informatics Vol 11, No 4: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i4.3612

Abstract

The changes in the global environment have made impact on the evolution of infectious diseases, virus mutations, or new diseases which are challenging to be tackled with new technological advances. This work aims to identify and analyze previous studies on machine learning applications in handling disease outbreaks. Bibliometric analysis was conducted on 3,447 scientific articles selected from the Scopus database. Further, latent dirichlet analysis (LDA) method was applied to identify the topic hotspots in attempting to deepen the analysis. The LDA results identified twelve topic hotspots that can be classified into three themes: COVID-19 disease, miscellaneous diseases, and public opinion on disease outbreaks for discussion. The study reveals that the scientific structure of this domain is dominated by machine learning research on COVID-19 diseases and miscellaneous diseases caused by pathogens or some genetic factors. A huge amount of multimodal medical data was used by previous studies for prediction, forecasting, classification, or screening purposes to resolve many problems of diseases, including epidemiological surveillance, diagnosis, treatment, health monitoring, epidemic management, viral infection, and pathogenesis. Public opinions toward new diseases are also an interesting topic in addition to the public perceptions in response to the health protocol and policies.

Page 148 of 291 | Total Record : 2901

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