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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 9,226 Documents
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Optimization performance management with FCAPS and ITILv3: opportunities and obstacles Adityas Widjajarto; Muharman Lubis; M. K. Rizal Syahputra
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 1: January 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i1.pp281-290

Abstract

With the need for rapidly growing network services each year; the factors of reliability, availability and quality become extremely critical for organizations, groups, institutions and governments to have in the network services implementation. In this case, several rural governments requires the improvement of its network performance management in establishing their internal and external operation to align with the grand design by the central government in improving citizen’s satisfaction through public service. Testing was done using scenarios for output analysis and packet loss as parameters. The results of the proposed topology obtained a productivity of 541.43 Kbps and a packet loss of 0.07%. While the current topology gets a rate of 421.28 Kbps and packet loss of 0.22%. It can be concluded that the proposed topology is still better than the current topology. The optimization of performance management is based on the FCAPS method which emphasize in the performance monitoring and data analysis with the support of ITILv3 that contains documentation and policy guidance to conduct quality performance management. In addition, performance management activities will occur with processes in the design of ITIL services and existing conditions.
A Study of Three-Level Neutral Point Clamped Inverter Topology Muhammad Kashif; Zhuo Fang; Samir Gautam; Yu Li; Ali Syed
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp5999-6008

Abstract

The three-level Neutral Point Clamped (NPC) inverter has become matured and widely used topology in high-power medium-voltage applications due to several advantages associated with it as compared to other available multilevel topologies. This paper presents a brief review on operation of three-level NPC inverter. Different modulation strategies used in NPC inverter is also discussed. The problem of neutral point voltage balancing with its solution is presented. Finally, the simulation and experimental results for three-level NPC inverter are given which validates the proper operation of this topology.
Demand Discipline of Air Transportation for Passengers Yunqian Qu; Jinfu Zhu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 5: May 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

The Yangtze River Delta (YRD) region in China is taken for an example to research demand discipline of air transportation for passengers in this paper. The discipline includes three parts: demand generation, distribution and flow. First of all, the key factors influencing demand generation are got with information entropy. A threshold is set to choose more important factors and weights of these factors are calculated at the same time. Contribution rate of a factor is definedto analyze the difference of the factors for different city. By comparing demand distribution with airports’ throughput, we can analyze the demand flow. There are some conclusions. The factors have different contribution rate to different city for demand generation. Aircraft movement is the most important factor influencing demand flow. It provides more accurate basis for market positioning and developing, airport layout in a multi-airport system. DOI: http://dx.doi.org/10.11591/telkomnika.v11i5.2499
Comprehensive Pineapple Segmentation Techniques with Intelligent Convolutional Neural Network Muhammad Azmi Ahmed Nawawi; Fatimah Sham Ismail; Hazlina Selamat
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v10.i3.pp1098-1105

Abstract

This paper proposes an intelligent segmentation technique for pineapple fruit using Convolutional Neural Network (CNN). Cascade Object Detector (COD) method is used to detect the position of the pineapple from the captured image by returning the bounding box around the detecting pineapple. Image background such as ground, sky and other unwanted objects have been removed using Hue value, Adaptive Red and Blue Chromatic Map (ARB) and Normalized Difference Index (NDI) methods. However, the ARB and NDI methods are still producing misclassified error and the edge is not really smooth. In this case Template Matching Method (TMM) has been implemented for image enhancement process. Finally, an intelligent CNN is developed as a decision maker to select the best segmentation image ouput from ARB and NDI. The results obtained show that the proposed intelligent method has successfully verified the fruit from the background with high accuracy as compared to the conventional method.
A Compact Multiple Band-Notched Planer Antenna with Enhanced Bandwidth Using Parasitic Strip Lumped Capacitors and DGS-Technique Ahmed Boutejdar; Ahmed A Ibrahim; Edmund P Burte
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 2: February 2015
Publisher : Institute of Advanced Engineering and Science

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

Abstract

UWB antenna with dual notched characteristics fed by microstrip transmission line is presented in this paper. The tapered connection between the rectangular patch and the feed line is used to produce a good impedance matching from 2.3 to 11.5 GHz. A dual band frequency notches are achieved using U-DGS loaded with lumped capacitors. The first notch frequency band is achieved using DGS to reduce the interference with WIMAX from 3.3 to 3.7 Ghz. The second notch frequency band is also achieved using U-parasitic strip placed in the ground plan to eliminate the interference with WLAN from 5.2 to 5.9 GHz. Lumped capacitors are combined with the slot due to miniaturize the slot size. The size of the resonator is reduced by more than 40% when lumped capacitors are used. The proposed antenna hasVSWR < 2 except the notched bands. The simulated results confirm that the antenna is suitable for UWB applications. DOI: http://dx.doi.org/10.11591/telkomnika.v13i2.6976
New Bipolar Hybrid Carrier PWM Strategies for Symmetrical Multilevel Inverter C.R. Balamurugan; S.P. Natarajan; R. Bensraj
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 2: May 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

In this paper, hybrid modulation methods suitable for H-bridge MLI are discussed. The results of experimental work using dSPACE system only are presented for three phase five level cascaded type inverter. Different hybrid carrier PWM (Pulse Width Modulation) strategies using sinusoidal reference, third harmonic injection reference, 60 degree reference and stepped wave reference for the chosen inverter are initially developed using SIMULINK. Strategies developed are then implemented in real time using dSPACE/RTI. The five level output voltages of the chosen MLI (MultiLevel Inverter) obtained using the dSPACE system based PWM strategies and the corresponding % THD (Total Harmonic Distortion) and VRMS (fundamental) are presented and analyzed. It is seen that sinusoidal reference with PS+VF (Phase shift+Variable Frequency) and PS+PD (Phase Disposition) provides output with relatively low distortion. APOD+CO (Alternative Phase Dispostion+Carrier Overlapping) and CO+PD PWM strategy is found to perform better since it provides relatively higher fundamental RMS output voltage and relatively lower stress on the devices. It is displayed that THI (Third Harmonic Injection) reference with PS+VF and CO+PS provides output with relatively low distortion. APOD+CO and CO+PS PWM strategy is found to perform better since it provides relatively higher fundamental RMS output voltage and relatively lower stress on the devices. It is observed that 60 degree reference with PD+VF provides output with relatively low distortion. CO+PD PWM strategy is found to perform better since it provides relatively higher fundamental RMS output voltage and relatively lower stress on the devices. It is noted that stepped wave reference with APOD+PD and PD+VF provides output with relatively low distortion. APOD+CO and CO+PD PWM strategy is found to perform better since it provides relatively higher fundamental RMS (Root Mean Square) output voltage and relatively lower stress on the devices. The simulation and hardware results closely match with each other. DOI: http://dx.doi.org/10.11591/telkomnika.v14i2.7362 
Quantitative Recognizing Dissolved Hydrocarbons with Genetic Algorithm-Support Vector Regression Qu Zhou; Weigen Chen; Xiaoping Su; Shudi Peng
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

Online monitoring of dissolved fault characteristic hydrocarbon gases, such as methane, ethane, ethylene and acetylene in power transformer oil has significant meaning for condition assessment of transformer. Recently, semiconductor tin oxide based gas sensor array has been widely applied in online monitoring apparatus, while cross sensitivity of the gas sensor array is inevitable due to same compositions and similar structures among the four hydrocarbon gases. Based on support vector regression (SVR) with genetic algorithm (GA), a new pattern recognition method was proposed to reduce the cross sensitivity of the gas sensor array and further quantitatively recognize the concentration of dissolved hydrocarbon gases. The experimental data from a certain online monitoring device in China is used to illustrate the performance of the proposed GA-SVR model. Experimental results indicate that the GA-SVR method can effectively decrease the cross sensitivity and the regressed data is much more closed to the real values. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.2776
Cyclic voltammetry characterization analysis on the cu/flame retardant 4 fabricated biosensor Irni Hamiza Hamzah; Azman Ab Malik; Aida Zulia Zulhanip; Zainal Hisham Che Soh; Alhan Farhanah Abd Rahim
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 3: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i3.pp1199-1206

Abstract

Silicon, glass and ceramic are commonly base substrate used in DNA biosensor fabrication due to its biocompatible, expensive, hard and brittle. However due to the difficulty for drilling and dicing, these materials required expensive equipments and complex methodology of fabrication. Large gap of thermal expansion coefficient (TEC) between silicon/glass and film caused microcracks. Hence, the aim of this work is to investigate the suitability and the application of a non-biocompatible material, flame retardant 4 (FR4) as a base substrate for a label free DNA biosensor. Cyclic voltammetry (CV) reversible method has been implemented to test the fabricated Cu/Au on the FR4. It is found that the fabrication of Au has been made possible by the used of oxide-free Cu as an adhesion layer on the FR4 substrate. The area size of counter electrode (CE), working electrode (WE) and reference electrode (RE) are found to be 6.25 mm2, 0.581 mm2 and 1.04 mm2, respectively, in order to achieve the unity reversible redox relationship and to ensure the sensor’s reliability for 10 mM K3Fe(CN)6 solution in 0.1 M KCl. Thus it can be concluded that the proposed FR4-based substrate fulfilled the CV reversible process characterization.
Optimization of Vacuum Pyrolysis Process Using Generalized Regression Neural Network Xiaohua Li; Yongsheng Fan; Yixi Cai; Weidong Zhao; Haiyun Yin; Ning Yu
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

A new empirical technique to construct predictive models of vacuum pyrolysis process is presented in this study. Pyrolysis of biomass for preparing bio-oil was studied on a vacuum pyrolysis system, where rape straw was chosen as the raw material. The experiments ran based on orthogonal experimental design method. The operation factors of the system including pyrolysis temperature, system pressure, heating rate and holding time were chosen as input variables, while bio-oil yield and energy transformation ratio were selected as output to establish the prediction models based on Generalized Regression Neural Network (GRNN). The operation factors of the system were optimized for maximizing bio-oil yield and energy transformation ratio, and the optimization result was confirmed by experiments. The results of research showed that the predicted values are fit well with the experimental values, which verifies the effectiveness of the prediction models. Optimal conditions are obtained at pyrolysis temperature of 486.8℃, heating rate of 18.1℃/min, reactor pressure of 5.0kPa and holding time of 55.0min. Confirmation runs give 41.9%, 42.5% and 42.1% of bio-oil yield and 34.3%, 34.0% and 34.9% of energy transformation ratio compared to 43.6% and 35.5% of predicted value. Therefore, the forecasting model based on the GRNN is able to result in good prediction and has research value to the reality. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4496
Research on SOC estimation based on second-order RC model Tiezhou Wu; Lunan Liu; Qing Xiao; Quan Cao; Xieyang Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 7: November 2012
Publisher : Institute of Advanced Engineering and Science

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

Abstract

The estimation accuracy of batteries’ State of Charge (SOC) plays an important role in the development of hybrid electric vehicle (HEV). Accurate estimation of SOC can prevent battery from overly charging and discharging, so the lifetime of batteries will be increased. Although Kalman filter algorithm has better estimation accuracy for HEV application in which the current changes fast, Kalman filter algorithm deeply relies on the battery model. In other words, the accuracy of batteries’ SOC estimation needs precise batteries models. Besides, when the HEV is running, the statistical characteristics of noise produced in the course of the battery management system collecting data are unknown. This can cause estimated performance of Kalman filter algorithm to decrease even diffuse. To solve the problem, adaptive Kalman filter algorithm is adopted to estimate battery SOC based on the second order RC battery model in this paper. Through MATLAB simulation analysis, the estimation accuracy of battery SOC is improved to some extent. DOI: http://dx.doi.org/10.11591/telkomnika.v10i7.1561

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