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International Journal of Electrical and Computer Engineering
ISSN : 20888708     EISSN : 27222578     DOI : -
International Journal of Electrical and Computer Engineering (IJECE, ISSN: 2088-8708, a SCOPUS indexed Journal, SNIP: 1.001; SJR: 0.296; CiteScore: 0.99; SJR & CiteScore Q2 on both of the Electrical & Electronics Engineering, and Computer Science) is the official publication of the Institute of Advanced Engineering and Science (IAES). The journal 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.
Articles 6,301 Documents
Bandstop Filter Design for GSM Shielding Using Frequency Selective Surfaces Umair Rafique; Syed Ahsan Ali; M. Tausif Afzal; Mudassar Abdin
International Journal of Electrical and Computer Engineering (IJECE) Vol 2, No 6: December 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (135.274 KB)

Abstract

In this paper, the performance of bandstop Frequency Selective Surface (FSS) is presented which can be used to provide wireless security on airports and other sensitive places, where a mobile phone can be used to set-off an explosive device. It can also be used to block the mobile signals at the places of worship, hospitals and cinemas where the annoying voice of a mobile phone may irritate the masses. The FSS unit cell consists of two metallic square-loop elements printed on FR-4 substrate with different periodicities. The outer and inner square-loop elements are tuned to 900 MHz and 1800 MHz, respectively. It has a stable frequency response at oblique incidences for both perpendicular (TE) and parallel (TM) polarizations. Simulation results are presented to give an overview for the performance of proposed FSS design.DOI:http://dx.doi.org/10.11591/ijece.v2i6.1820
Little Core Based System on Chip Platform for Internet of Thing Sang Don Kim; Seung Eun Lee
International Journal of Electrical and Computer Engineering (IJECE) Vol 5, No 4: August 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (625.571 KB) | DOI: 10.11591/ijece.v5i4.pp695-700

Abstract

Although the technology scaling has enabled designers to integrate a large number of hardware blocks onto a single chip realizing System on Chip (SoC), problems arising from leakage current have made power reduction an important issue. The IoT platform has restricted power consumption because of battery power. In this paper, we propose our little core based IoT platform focusing on the low power and expandability. The experimental results demonstrate the feasibility of our proposal to the IoT.
New Approaches in Cognitive Radios using Evolutionary Algorithms Miguel Tuberquia; Cesar Hernandez
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (207.309 KB) | DOI: 10.11591/ijece.v8i3.pp1636-1646

Abstract

Cognitive radio has claimed a promising technology to exploit the spectrum in an ad hoc network. Due many techniques have become a topic of discussion on cognitive radios, the aim of this paper was developed a contemporary survey of evolutionary algorithms in Cognitive Radio. According to the art state, this work had been collected the essential contributions of cognitive radios with the particularity of base they research in evolutionary algorithms. The main idea was classified the evolutionary algorithms and showed their fundamental approaches. Moreover, this research will be exposed some of the current issues in cognitive radios and how the evolutionary algorithms will have been contributed. Therefore, current technologies have matters presented in optimization, learning, and classification over cognitive radios where evolutionary algorithms can be presented big approaches. With a more comprehensive and systematic understanding of evolutionary algorithms in cognitive radios, more research in this direction may be motivated and refined.
A data mining approach for desire and intention to participate in virtual communities Özerk Yavuz; Adem Karahoca; Dilek Karahoca
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 5: October 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (162.568 KB) | DOI: 10.11591/ijece.v9i5.pp3714-3719

Abstract

The purpose of this study is to investigate performances of some of the data mining approaches while understanding desire and intention to participate in virtual communities and its antecedents. A research model has been developed following the literature review and the model was tested afterwards. In research part of the study, some of the data mining approaches as JRip, Part, OneR Method, Multilayer Perceptron (Neural Networks), Bayesian Networks have been used. Based on the analysis conducted it has been found out that Multilayer Neural Network had the best correct classification rate and lowest RMSE.
Localization of Distributed Wireless Sensor Networks using Two Sage SDP Optimization Reza Shahbazian; Seyed Ali Ghorashi
International Journal of Electrical and Computer Engineering (IJECE) Vol 7, No 3: June 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1558.547 KB) | DOI: 10.11591/ijece.v7i3.pp1255-1261

Abstract

A wireless sensor network (WSN) may comprise a large distributed set of low cost, low power sensing nodes. In many applications, the location of sensors is a necessity to evaluate the sensed data and it is not energy and cost efficient to equip all sensors with global positioning systems such as GPS. In this paper, we focus on the localization of sensors in a WSN by solving an optimization problem. In WSN localization, some sensors (called anchors) are aware of their location. Then, the distance measurements between sensors and anchors locations are used to localize the whole sensors in the network. WSN localization is a non-convex optimization problem, however, relaxation techniques such as semi-definite programming (SDP) are used to relax the optimization. To solve the optimization problem, all constraints should be considered simultaneously and the solution complexity order is O(n2) where n is the number of sensors. The complexity of SDP prevents solving large size problems. Therefore, it would be beneficial to reduce the problem size in large and distributed WSNs. In this paper, we propose a two stage optimization to reduce the solution time, while provide better accuracy compared with original SDP method. We first select some sensors that have the maximum connection with anchors and perform the SDP localization. Then, we select some of these sensors as virtual anchors. By adding the virtual anchors, we add more reference points and decrease the number of constraints. We propose an algorithm to select and add virtual anchors so that the total solution complexity and time decrease considerably, while improving the localization accuracy.
Optimal tuning linear quadratic regulator for gas turbine by genetic algorithm using integral time absolute error Jamal M. Ahmed
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 2: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (869.524 KB) | DOI: 10.11591/ijece.v10i2.pp1367-1375

Abstract

For multiple input-multiple output (MIMO) systems, the most common control strategy is the linear quadratic regulator (LQR) which relies on state vector feedback. Despite this strategy gives very good result, it still has trial and error procedure to select the values of its weight matrices which plays a important role in reaching to the desiered system performance. In order to overcome this problem, the Genetic algorithm is used. The design of genetic algorithm based linear quadratic regulator (GA-LQR) utilized Integral time absolute error (ITAE) as a cost function for optimization. The propsed procedure is implemented on a linear model of gas turbine to control the generator spool’s speed and the output power.
Design of a Monitoring-combined Siting Scheme for Electric Vehicle Chargers Junghoon Lee; Gyung-Leen Park
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 6: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (584.832 KB) | DOI: 10.11591/ijece.v8i6.pp5303-5310

Abstract

This paper designs a siting scheme for public electric vehicle chargers based on a genetic algorithm working on charger monitoring streams. The monitoring-combined allocation scheme runs on a long-term basis, iterating the process of collecting data, analyzing demand, and selecting candidates. The analysis of spatio-temporal archives, acquired from the fast chargers currently in operation, focuses on the per-charger hot hour and proximity effect to justify demand balancing in geographic cluster level. It leads to the definition of a fitness function representing the standard deviation of per-charger load and cluster-by-cluster distribution. In a chromosome, each binary integer is associated with a candidate and its static fields include the index to the cluster to which it is belonging. The performance result obtained from a prototype implementation reveals that the proposed scheme can stably distribute the charging load with an addition of a new charger, achieving the reduction of standard deviation from 8.7 % to 4.7 % in the real-world scenario.
A New Validation Approach of a New Three-Phase High Voltage Power Supply for Microwaves Generators with one Magnetron by Phase M. Bassoui; M. Ferfra; M. Chraygane
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 1: February 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (719.324 KB) | DOI: 10.11591/ijece.v6i1.pp1-11

Abstract

In order to validating the new three-phase High voltage power supply for microwave generators with one magnetron by phase, this paper presents a new validation approach to evaluate the proposed model with several evaluations. This approach is based on the calculation and measurement of the performance and the power factor of this new three-phase power supply, also the study of the operation of this new system in case of failure. The design of this power supply is composed of new three-phase transformer with magnetic shunt, supplying by phase a voltage doubler cell composed of a capacitor and a diode. Each cell in turn, supplies a single magnetron. In this paper we have presented the new three-phase transformer by its equivalent model; it’s a π  quadruple  model composed  of  storable  inductances  able  to translating the nonlinear saturation phenomena for stabilization of  the  magnetron  current. The voltage and current curves obtained by simulation with MATLAB SIMULINK are in good conformity with those obtained by experimental of conventional power supply using a single phase transformer for one magnetron. The same curves will allow us to plot the instantaneous power absorbed by each magnetron. This leads to determine the average power emitted by each magnetron, and establish the balance of the power microwave generator by computing its performance which is compared to that obtained from experimental. After that we will compute the power factor of this power supply and we will study its operation in case of failure of one or two magnetrons.
Fingerprint Direct-Access Strategy Using Local-Star-Structure-based Discriminator Features: A Comparison Study G. Indrawan; S. Akbar; B. Sitohang
International Journal of Electrical and Computer Engineering (IJECE) Vol 4, No 5: October 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1381.794 KB)

Abstract

This paper describes a comparison study of the proposed fingerprint direct-access strategy using local-star-topology-based discriminator features, including internal comparison among different concerned configurations, and external comparison to the other strategies. Through careful minutiae-based feature extraction, hashing-based indexing-retrieval mechanism, variable-threshold-on-score-ratio-based candidate-list reduction technique, and hill-climbing learning process, this strategy was considered promising, as confirmed by the experiment results. For particular aspect of external accuracy comparison, this strategy outperformed the others over three public data sets, i.e. up to Penetration Rate (PR) 5%, it consistently gave lower Error Rate (ER). By taking sample at PR 5%, this strategy produced ER 4%, 10%, and 1% on FVC2000 DB2A, FVC2000 DB3A, and FVC2002 DB1A, respectively. Another perspective if accuracy performance was based on area under curve of graph ER and PR, this strategy neither is the best nor the worst strategy on FVC2000 DB2A and FVC2000 DB3A, while on FVC2002 DB1A it outperfomed the others and even it gave impressive results for index created by three impressions per finger (with or without NT) by ideal step down curve where PR equal to 1% can always be maintained for smaller ER.DOI:http://dx.doi.org/10.11591/ijece.v4i5.6589
A New Chaotic System with Line of Equilibria: Dynamics, Passive Control and Circuit Design Aceng Sambas; Mustafa Mamat; Ayman Ali Arafa; Gamal M Mahmoud; Mohamad Afendee Mohamed; W. S. Mada Sanjaya
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 4: August 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2267.016 KB) | DOI: 10.11591/ijece.v9i4.pp2336-2345

Abstract

A new chaotic system with line equilibrium is introduced in this paper. This system consists of five terms with two transcendental nonlinearities and two quadratic nonlinearities. Various tools of dynamical system such as phase portraits, Lyapunov exponents, Kaplan-Yorke dimension, bifurcation diagram and Poincarè map are used. It is interesting that this system has a line of fixed points and can display chaotic attractors. Next, this paper discusses control using passive control method. One example is given to insure the theoretical analysis. Finally, for the  new chaotic system, An electronic circuit for realizing the chaotic system has been implemented. The numerical simulation by using MATLAB 2010 and implementation of circuit simulations by using MultiSIM 10.0 have been performed in this study.

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