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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 9,199 Documents
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Improving the power factor correction in the presence of harmonics by reducing the effect of resonance and harmonics Saber M. Saleh; Mohamed E. Arafa
Indonesian Journal of Electrical Engineering and Computer Science Vol 3, No 2: August 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v3.i2.pp282-295

Abstract

Harmonics in electrical networks occur as a result of non-linear loads.  It has an effect on power factor improvement using capacitors in terms of increasing the unbalance current between units. In addition, the occurrence of resonance and result in the exit of capacitors from service by the protective relays to protect the units from collapse. The main objective of this research is the real-time study of improving the power factor with reducing the effect of the resonance and harmonics on the power system. This reduction can be done using filters, consist of reactors and capacitors connected in series or in parallel or series and parallel together to reduce the current harmonics or voltage harmonics. Single Tuned filter type (passive filter) is used which presents very low impedance at the tuning frequency, through which all current of that particular frequency will be diverted. This research presents two practical power systems 11kV source in Fayoum substation and 13.8kV source in New Badr substation connected to power factor Improvement circuit. These models simulated by Matlab at different unbalance currents and harmonics. Also, it presents the design of the series reactor and the harmonics filter which satisfy the minimum effect of resonance and harmonics.
An Energy Efficient Clustering Algrithm Based on DEEC Protocol and K-mean Method Elahmadi Cheikh; Chakkor Saad; Baghori Mostafa; Hajraoui Abderrahmane
Indonesian Journal of Electrical Engineering and Computer Science Vol 3, No 1: July 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v3.i1.pp143-150

Abstract

In WSN the sensor nodes are usually powered by batteries and thus have very limited lifetime if no power management is performed. Because of this major limitation, energy-efficient techniques are main research challenge in this context to solve it. Dividing the network in clusters is an effective technique to achieve this goal. This algorithm is based on creating virtual sub-groups of sensor nodes in order to minimize routing calculations and to reduce the size of cluster head data aggregation. Nowadays, a lot of heterogeneous clustering protocols for WSN are created. Nevertheless, these protocols need to find the optimal clusters formation in the network that conserve CHs and theirs member nodes energy consumption. A new approach is proposed combining between an efficient clustering algorithm K-means and our proposed DEEC.  This approach has been employed to enhance DEEC protocol performances. Numerical simulation proves that the improved protocol entitled KM-DEEC achieves a satisfactory results compared to others DEEC protocol versions.
SOC EKF Estimation based on a Second-order LiFePO4 Battery Model Zheng Zhu; Wei Jin Sun; Yongbing Rong; Dan Liu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 8: August 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

An accurate battery State of Charge (SOC) estimation has great significance in improving battery life and vehicle performance. An improved second-order battery model is proposed in this paper through quantities of LiFePO4 battery experiments. The parameters of the model were acquired by the HPPC composite pulse condition under different temperature, charging and discharging rates, SOC. Based on the model, battery SOC is estimated by Extended Kalman Filter (EKF). Comparison of three different pulse conditions shows that the average error of SOC estimation of this algorithm is about 4.2%. The improved model is able to reflect the dynamic performance of batteries suitably, and the SOC estimation algorithm is provided with higher accuracy and better dynamic adaptability. DOI: http://dx.doi.org/10.11591/telkomnika.v11i8.2629
Stiffness, Workspace Analysis and Optimization for 3UPU Parallel Robot Mechanism Cui Guohua; Wei Bin; Wang Nan; Zhang Yanwei
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In this paper, an approach based on the particle swarm optimization is used to optimize the workspace and global stiffness of the 3UPU mechanism simultaneously due to the fact that the workspace is affected while optimizing the stiffness of the mechanism and vice versa. When optimizing one particular performance, one needs to have an objective function. Here the workspace volume of the mechanism is used as an objective function to evaluate the workspace performance of the mechanism. The leading diagonal elements of the stiffness matrix represent pure stiffness in each direction, but this stiffness changes when the moving platform position changes. We call this stiffness as local stiffness. When using the local stiffness as an objective function for stiffness optimization, it can only represent the stiffness in one particular position. Here the global stiffness of the mechanism is used as an objective function to optimize the stiffness of the mechanism. The global stiffness represents mean stiffness over the workspace. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3276 
Efficient method for breast cancer classification based on ensemble hoffeding tree and naïve Bayes Royida A. Ibrahem Alhayali; Munef Abdullah Ahmed; Yasmin Makki Mohialden; Ahmed H. Ali
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 2: May 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i2.pp1074-1080

Abstract

The most dangerous type of cancer suffered by women above 35 years of age is breast cancer. Breast Cancer datasets are normally characterized by missing data, high dimensionality, non-normal distribution, class imbalance, noisy, and inconsistency. Classification is a machine learning (ML) process which has a significant role in the prediction of outcomes, and one of the outstanding supervised classification methods in data mining is Naives Bayess Classification (NBC). Naïve Bayes Classifications is good at predicting outcomes and often outperforms other classifications techniques. Ones of the reasons behind this strong performance of NBC is the assumptions of conditional Independences among the initial parameters and the predictors. However, this assumption is not always true and can cause loss of accuracy. Hoeffding trees assume the suitability of using a small sample to select the optimal splitting attribute. This study proposes a new method for improving accuracy of classification of breast cancer datasets. The method proposes the use of Hoeffding trees for normal classification and naïve Bayes for reducing data dimensionality.
Agent-based Dynamic Adaptive Cluster Load Balancing Model Tianshu You; Wenhui Li; Zhiyi Fang; Chunfei Zhang; Guannan Qu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In a cluster environment, the identification and the classification of the requested task is a prerequisite for choosing the appropriate load balancing algorithm and improving the processing capacity of the network. As the existing load balancing strategies cannot relate tasks and load balancing algorithm intelligently, this paper present an Agent-based dynamic adaptive load balancing model. Through the identification and classification of the requested task, the model selects corresponding load balancing algorithm to reach the load balancing in cluster. This model has a distinct advantage over other load balancing schedule strategies on response time. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4568
Virtual Slice Extraction Based on Hermite Interpolation TIAN Qi-chuan; CHEN Bin; WANG Da-shen; FAN Wen-guang
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 6: October 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Owing to the one-time scanning direction’s oneness and the limited slices’ number of the current CT imaging equip­ment, we propose an extraction algorithm of any angle virtual slice on 3D medical image based on the Hermite interpolation. In view of the large slice thickness, we first use the Hermite interpolation algorithm to interpolate the data between layers, and then by setting a virtual plane of normal vector and the interior point, combin­ed with improved three-dimensional linear interpolation algorithm for image sequence to be cut we obtain a virtual slice, finally we observe the extraction with a three-dimensional reconstruction of the virtual slices. Experimental result shows that the extracted virtual slice is close to the actual slice, it can be used for computer-aided diagnosis, clinical diagnosis, and it compens­ates for the CT imaging equipment on the lack of imaging. DOI: http://dx.doi.org/10.11591/telkomnika.v10i6.1409
Harmonic Load Mitigation Using the Optimal Double Tuned Passive Filter Technique Muhammad Murtadha Othman; W Muhammad Faizol bin W Mustapha; Amirul Asyraf Mohd Kamaruzaman; Aainaa Mohd Arriffin; Ismail Musirin; Nur Ashida Salim; Zulkiffli Abdul Hamid; Nofri Yenita Dahlan
Indonesian Journal of Electrical Engineering and Computer Science Vol 6, No 2: May 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v6.i2.pp338-348

Abstract

Harmonic is one of the power quality disturbances customarily imminent in an unbalanced electrical system. Harmonic represents as the multiple integral of fundamental frequency of voltage and current inflicting towards the shifting in system frequency causing to a disruptive operation of electrical devices. This paper investigates on the performance of passive filter intrinsically by utilizing the inductor and capacitor electrical components to mitigate harmonic problem emanating from an unbalanced electrical system. In particular, explication in this paper will focus on the optimal parameters specification for the double tuned passive filter that used to overcome the phenomenon of harmonic issue. The two case studies constituting with different number of harmonic orders injected in a system were introduced to distinguish effectiveness of double tuned passive filter in solving the aforesaid problems. The parameters configuration of the passive filter are automatically tuned by the MATLAB® software to reduce the total harmonic distortion incurred in a system designed under the Simulink® software.
Develop and Implementation of Solar Powered Ventilation System Hairol Nizam Mohd Shah; Zalina Kamis; Mohd Fairus Abdollah; Mohd Khairi Mohd Zambri; Faizil Wasbari; Nursabillilah Mohd Ali; Amirul Anwar Mat Shah
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i3.pp1211-1221

Abstract

A ventilation system comprising a ventilator or fan to inhale fresh air from environment surrounding enters the cabin of a car where at the same time exhale the hot air to the outside. This invention system is using solar power integrate with the ventilation system in order to stabilize the thermal condition inside the car during sunny day. The solar power is chosen as it is reasonable due to its limitless and environmental friendly source just like mentioned in the previous objective of the project. In addition, a rechargeable battery is used to power the ventilator in the absence of the alternative energy during cloudy day or has obstacle like being shaded by buildings, trees and others. It is just like an extra supply during emergency case. This may prevent the lack of power energy supply for the system. A heat sensor is used as to detect targeted (high temperature) and desired temperature (drop temperature) inside the car. It is operatively connected to a logic circuit to measure environmental factor, wherein the controller (PIC Microcontroller) utilizes the measured environmental condition to allow the power supply to activate or deactivate the ventilator.
Hard-Disk Stereo Vision Measurement System Calibration Using Light Plane Constraint Rui-Yin Tang; Peng-Fei Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 6: June 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i6.pp4808-4813

Abstract

This paper proposed a calibration method of sheet-of-light vision measurement sensor based on light plane constraint. Through capturing 12 images of different direction from homemade circular calibration target, the center of the circle and the light stripe is extracted based on Halcon platform of Germany. The experimental results obtained the intrinsic parameters, extrinsic parameters and radial distortion coefficient of the nonlinear model. At the same time the light plane constraint equation is got based on PCA plane fitting method. The results show that the calibration method is simple and reliable, and the method does not need any auxiliary adjustment. The work laid the better foundation for hard disk planeness vision measurement.

Page 82 of 920 | Total Record : 9199

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