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INDONESIA
Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
ISSN : 20893272     EISSN : -     DOI : -
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) is a peer reviewed International Journal in English published four issues per year (March, June, September and December). The aim of Indonesian Journal of Electrical Engineering and Informatics (IJEEI) is to publish high-quality articles dedicated to all aspects of the latest outstanding developments in the field of electrical engineering. Its scope encompasses the engineering of Telecommunication and Information Technology, Applied Computing & Computer, Instrumentation & Control, Electrical (Power), Electronics, and Informatics.
Arjuna Subject : -
Articles 783 Documents
Truncated Microstrip Patch Antenna with DGS Based on Double Looped CSRR Arrays for Enhancement of Bandwidth V G Ajay; Thomaskutty Mathew; N.V Krishna Prasad; M.S.S.R.K.N. Sarma
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 8, No 3: September 2020
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v8i3.2222

Abstract

This paper presents a novel method for the design of truncated microstrip patch antenna with DGS based on Double Looped CSRR arrays for enhancement of bandwidth. The proposed antenna is suitable for WLAN/Wi-Fi, RFID applications. A truncated microstrip patch antenna without DGS was initially designed for a resonant frequency of 2.86GHz having a bandwidth of 95.6MHz. By integrating a new Double Looped CSRR array (DLCSRR) structure on the ground plane, resonant frequency of the antenna is shifted to 2.47GHz and also the bandwidth is enhanced to 202.5MHz. By implementing DLCSRR array structure on the ground plane size reduction and bandwidth enhancement of 52.79% is achieved. The performance of truncated microstrip patch antenna with DGS based on Double Looped CSRR array structure was also compared by replacing conventional proximity fed microstrip patch antenna with the same physical size. The conventional proximity coupled microstrip patch antenna is designed for a resonant frequency of 2.26GHz with a lower bandwidth of 23.3MHz.The antennas were designed using CST simulation software. The measurement  result shows a good agreement with simulated results.
Microstrip Array Antenna using Series-Corporate Feed for Navigation System Taher Khalifa; N. Ramli; N.M. Sahar
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 8, No 3: September 2020
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v8i3.1286

Abstract

In this paper, the proposed antenna consists of a single transmission line for 6-elements microstrip array antenna using Rogers RT5880 substrate material with a dielectric constant (εr) of 2.2 and thickness of 0.787 mm for navigation applications. The array structures of unequal patches placement are proposed with corporate feed line and H-shaped configurations are employed on the substrate and used the microstrip feed line with a corporate feed network excited via 50 Ω with T-junction method to control the feed for each group. 6-elements microstrip array antenna has operated at the resonant frequency of 1.27 GHz was obtained between the frequency from 1.2663 GHz to 1.2734 GHz where the S11-parameters of the structure designed and simulation below than <-10 dB. The analysis shows the antenna gain has increased 72.6% with high directivity as compared to single elements microstrip antenna. The radiation characteristics and other array parameters are evaluated with respect to the application requirements. However, circular polarization has obtained in 6-elements array antenna as the axial ratio is successfully achieved below than -3dB. The antenna efficiency, the current distribution, VSWR, and S11-parameters of the proposed 6-elements CP microstrip array antenna have been presented and discussed in detail. The design methodology and the measurement results have been presented and discussed in this paper.
Application of High-Voltage Discharges for Disinfecting Water Alexander Anatolievich Belov; Alexey Nikolayevich Vasilyev
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 8, No 3: September 2020
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v8i3.1813

Abstract

A three-factor experiment is conducted on the disinfection of water by treatment with high-voltage discharges formed to achieve an electro-hydraulic effect, in order to detect optimal conditions and rules for the course of the processes under study. In the study, a high-voltage installation with an electro-hydraulic spark gap, an EnSURE luminometer (Hygiena) for measuring the level of hygiene of water and its solutions, test tubes for determining the total number of ATP in AquaSnap Total brand water (AQ100X) are used as materials and equipment. The influence of design parameters and exposure modes of an electro-hydraulic installation on the properties of water as a result of the generation of high-voltage discharges is investigated; experimental data are revealed for measuring the level of microbiological contamination of the water sample, which, according to the analysis of the data obtained, is reduced, which can serve as the basis for the possibility of the potential use of the effects of high-voltage discharges as a method of preparing water under irrigation in greenhouses; optimal ratios of factors for disinfecting a pond water sample from a source of artificial origin are revealed: operating voltage 19.9 kV, capacitance 0.1445 μF and the number of discharges 2861 pieces.
Current challenges and opportunities in computation and simulation to align 4iR paradigm shift Shashi Kant Dargar; Viranjay M. Srivastava
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 8, No 3: September 2020
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v8i3.1651

Abstract

With the advent of 4th Industrial Revolution (4iR or Industry 4.0), the current industry sector is highly automated to increased productivity, flexibility, and quality of products & services. The technology, machinery, materials, inputs, and approaches are radically transforming in the traditional manufacturing companies using several enabling technologies, tools, and systems in this digitization era. Industry 4.0 is the game changer to the end of the conventional applications where computation and simulation play a pivotal role in forecasting and evaluating methodically intractable systems' performance. In this paper, the authors describe the prominence of computation and simulation technology in this industrial transformation and analyze the current challenges and opportunities of computational simulation technologies and tools to uphold the effectiveness.
Multilayer Structure Technique for Improving Determination of Electromagnetic Properties of Radar Absorbers Based on Two-Layer Method and Flanged Rectangular Waveguide Probe Abdulkadhim Ameen Hassan; Janan Hammed Saadie
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 8, No 4: December 2020
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v8i4.1444

Abstract

This paper presents further development of utilization of  two-layer method to perform nondestructive electromagnetic properties determination of planar radar absorbers using flanged  open-ended rectangular waveguide probe. A multilayer  structure  of three layers was proposed to improve the measured results of these parameters obtained using two-layer method. These layers were arranged  such  that the test  material is sandwiched between two known low  loss materials to provide the  needed  two independent reflection coefficients necessary to extract them  at different conditions of  testing. The proposed  structure was aimed  to decrease the effect  of direct backing of test material by metal plate, which influences measurement accuracy if  two-layer  method  is used.  The structure permits a suitable electric field interrogation  in test material and decreases the influences of both  radial and surface waves.  FDTD method  was adapted  for  modeling  the problem geometry  to calculate  the reflection coefficients  since a probe with finite flange size is used. Measurements were carried out using the proposed technique to determine complex permittivity and complex permeability of several radar absorbers over X-band  applications of  microwaves. In comparison with both single-layer and two-layer methods results, the measured   results of  these parameters  agreed  well with the published data. by companies and literatures.
Control Strategies of a Gas Turbine Generator: A Comparative Study Lyes Abbassen; Mustapha Zaouia; Nacereddine Benamrouche; Amar Bousbaine
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 8, No 4: December 2020
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v8i4.2100

Abstract

Gas turbine generators are commonly used in oil and gas industries due to their robustness and association with other operating systems in the combined cycles.  The electrical generators may become unstable under severe load fluctuations. For these raisons, maintaining the stability is paramount to ensure continuous functioninality.This paper deals with the modeling and simulation of a single shaft gas turbine generator using the model developed by Rowen and incorporating different types of controllers, viz a Zeigler- Nichols PID controller, a Fuzzy Logic Controller (FLC), FLC-PID and finally a hybridPID/FLC/FLC-PIDcontroller. The study was undertaken under Matlab / Simulink environment with data related to an in service power plant owned by Sonatrach, Algiers, Algeria. The results show that FLC-PID and hybrid tuned controllers provide the best time domain performances.
Design and Performance Analysis of a Wine-bridge RC Harmonic Oscillation Generator with an Operational Amplifier Boyan Karapenev
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 8, No 4: December 2020
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v8i4.1446

Abstract

This paper presents the special features of harmonic generators and their widespread use and in particular the design, simulation and experimental studies of a Wine-bridge RC generator with an operational amplifier. The results obtained are analyzed and compared. It can be deduced that the parameters of the output signal can be accurately realized - the necessary frequency and the amplitude by setting the parameters of the constituent components.
The Prediction of Earthquake Building Structure Strength: Modified K-Nearest Neighbour Employment Okfalisa Okfalisa; Septian Nugraha; Saktioto Saktioto; Zahidah Zulkifli; S.S.M. Fauzi
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 8, No 4: December 2020
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v8i4.2403

Abstract

The earthquake damage brings significant effects. The resilience of buildings against the earthquake and the destruction’s location is not an efficient outcome from previous research. This study applied the Modified K-Nearest Neighbor (MK-NN) in predicting the concrete structures’ performance despite the earthquakes. The 2-story building prediction covered earthquake history, time, concrete quality, displacement, velocity, and acceleration. The analysis of MK-NN provided the values of Euclidean, distance calculation, validity, and weight voting towards the classification of damages as “Safe” or “Immediate Occupancy” (IO).  The K values exploited were 1, 3, 5, 7, 9, and 11, and simulation data training at 10:90, 20:80, 30:70. This study revealed the highest degree of accuracy at 98.85% with K=1 and a ratio of 30:70. Simultaneously, the lowest error rate was 1.15% at a similar K value and ratio. Herein, MK-NN significantly exceeds the accuracy and error rate of KNN up to 1.02% and 0.69%, respectively. To date, the automatic calculation prototyping software was then successfully developed. Ensuring the application’s accuracy, the Confusion Matrix, the Black box, and User Acceptance Test (UAT) have been performed. In a nutshell, this study provides a significant contribution to planning and information analysis of earthquake-resistant construction.
PV/Wind Hybrid Energy System, Modeling and Simulation at variable weather conditions Abdelhamid Slama; Messaoud Hamouda; Mounir Khiat
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 8, No 4: December 2020
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v8i4.2771

Abstract

This paper presents a modeling and simulation of a grid-connected wind / PV hybrid power system under variable weather conditions. This system includes a wind turbine system, a PV system that shares a DC bus, and no battery. The paper contains an overview of the hybrid system and some previous studies; it presents a brief overview of each component used for this system. Signal distortion remains the great obstacle when connecting to the grid, so the system architecture and its proposed control are also introduced to reduce the distortion of electrical signals to an acceptable value. A simulation of the system’s operation with specific weather conditions in three different modes was performed using the MATLAB Simulink to describe the effect of these weather conditions on the production of electrical energy. Simulation results show how these weather conditions affect the operation of this hybrid system. An acceptable distortion value of the produced current signals has also been reached. These results present an evaluation of the dynamic performance of this system under the proposed working conditions. It also shows the energy exchange with the grid.
Automated Learning of Hungarian Morphology for Inflection Generation and Morphological Analysis Gabor Szabo; Laszlo Kovacs
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 8, No 4: December 2020
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v8i4.2545

Abstract

The automated learning of morphological features of highly agglutinative languages is an important research area for both machine learning and computational linguistics. In this paper we present a novel morphology model that can solve the inflection generation and morphological analysis problems, managing all the affix types of the target language. The proposed model can be taught using (word, lemma, morphosyntactic tags) triples. From this training data, it can deduce word pairs for each affix type of the target language, and learn the transformation rules of these affix types using our previously published, lower-level morphology model called ASTRA. Since ASTRA can only handle a single affix type, a separate model instance is built for every affix type of the target language. Besides learning the transformation rules of all the necessary affix types, the proposed model also calculates the conditional probabilities of the affix type chains using relative frequencies, and stores the valid lemmas and their parts of speech. With these pieces of information, it can generate the inflected form of input lemmas based on a set of affix types, and analyze input inflected word forms. For evaluation, we use Hungarian data sets and compare the accuracy of the proposed model with that of state of the art morphology models published by SIGMORPHON, including the Helsinki (2016), UF and UTNII (2017), Hamburg, IITBHU and MSU (2018) models. The test results show that using a training data set consisting of up to 100 thousand random training items, our proposed model outperforms all the other examined models, reaching an accuracy of 98% in case of random input words that were not part of the training data. Using the high-resource data sets for the Hungarian language published by SIGMORPHON, the proposed model achieves an accuracy of about 95-98%.