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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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Parallelizable cipher of color image based on two-dimensional chaotic system Sawsen Abdulhadi Mahmood; Khalid Ali Hussein; Yaseen Naser Jurn; Ekhlas Abbas Albahrani
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 1: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i1.pp101-111

Abstract

This paper aims to present a parallel implementation based color image encryption using non -linear chaotic system. The adopted chaotic system was suggested and approved in our previous work [1] which generates key streams with chaotic behavior. In this paper, pixel level permutation algorithm based on chaotic map generation is investigated and analyzed. The encryption–decryption schemes are achieved in parallel and composed of three main phases: chaotic keys generation, pixel-level permutation and bit-level diffusion phase. Both permutation and diffusion processes are achieved according to the chaotic keys. The parallel implementation of the proposed image encryption system is realized and inspired with parallel computing library offered by Matlab 2018, which equips highly performance than the pipeline ones and would be helpful to utilize in image encryption/decryption for real time application. Security and statistical analysis in addition to the main differential attacks analysis are specified to evaluate the performance of the proposed image encryption algorithm with parallel implementation. From the experimental results, the output image of the encryption task shows a higher randomness of the encrypted image which can be effectively resistant to attacker. Furthermore, the run time of encryption process is faster than other research works.
Study on Monitoring System for Partial Discharge of Electrical Equipment Miaofen Zhu; Guojin Chen; Ming Xu; Tingting Liu; Dong Xie; Yanping Zhang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

The detection and fault identification of the partial discharge is the important aspect for the monitoring of the power equipment. For the lacks of the traditional detection methods, this paper analyzed the UHF signal characteristic parameters of the power equipment’s partial discharge, and developed the UHF detection system of the partial discharge. The A/D technology of the gain equalization and quantization in the different bands is studied, and the fault diagnosis strategy of the partial discharge based on the UHF and AE is proposed. On the premise to ensure the integrity of the partial discharge signals, the acquisition, amplification, analysis and storage of the partial discharge signal is realized. The case-based reasoning technology determines the fault type and fault degree of the partial discharge to make the accurate judgment for the operational state of the equipment and improve the intelligence level and the operational reliability for the state diagnosis of the power equipment. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.4327  
HVDC Application for Different Solar PV Technology Combinations in India Suprava Chakraborty; Pradip Kumar Sadhu; Nitai Pal
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 12: December 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Conventionally Grid Connected Solar PV plants initially generate DC power and then converted to AC via inverters and connected into AC grid for transmission power. Depending on the size of the plant, required environmental condition and land availability large PV plants are generally located far away from the load centre. Hence reduction of transmission loss and incised transmission capacity expansion is a greater challenge for modern newly establish solar power plant. Transmitting high voltage DC power directly from Solar PV panel to High voltage DC grid is become an accretive option for modern PV power plant. In this paper DC-DC bypass diode converter model is adopted to generate high voltage DC voltage in PV power plant. Result shows that power in the range of HVDC level can be generated when the voltage of different PV technology blocks are used as input. P-SIM software is used for simulating the circuit here.http://dx.doi.org/10.11591/telkomnika.v12i12.6822 
Several Mode-Locked Pulses Generation and Transmission over Soliton Based Optical Transmission Link IS Amiri; SE Alavi
Indonesian Journal of Electrical Engineering and Computer Science Vol 1, No 2: February 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v1.i2.pp288-293

Abstract

A soliton-based optical communication system is presented to generate and transmits several mode locked laser pulses (generated by fiber laser setup) over 50 km fiber and 120 m wireless link. The passive mode-locking feature of the laser system proposed in this paper is based on nonlinear polarization rotation evolution.
Air-gap Eccentricity Fault Diagnosis of Induction Motors Using EMD ZHANG Lin; SUN An-quan; YANG Xin-yu; WANG Tian-yi; ZHANG Xue-li
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 7: July 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The accuracy of fault diagnostic systems for induction motors relies on a comparison of the currently extracted sensory features with those captured during normal operation. To detect the timing of these impacts from vibration signals accurately, this paper presented an efficiency diagnosis method based on empirical mode decomposition (EMD), aimed to diagnose the air-gap eccentricity fault of induction motors. Analyses the Hilbert modulus spectrum of stator current in induction motors by EMD, to obtain the fault characteristics frequency  accurately, and distinguish the fault characteristics component from the fundamental wave in stator current. The simulation result demonstrated the high sensitivity and clarity of this proposed method, efficiently distinguish the fault frequency from the basic frequency in the stator current. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2936
Deep Learning for Roman Handwritten Character Recognition Muhaafidz Md Saufi; Mohd Afiq Zamanhuri; Norasiah Mohammad; Zaidah Ibrahim
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: November 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i2.pp455-460

Abstract

The advantage of deep learning is that the analysis and learning of massive amounts of unsupervised data make it a beneficial tool for Big Data analysis. Convolution Neural Network (CNN) is a deep learning method that can be used to classify image, cluster them by similarity, and perform image recognition in the scene. This paper conducts a comparative study between three deep learning models, which are simple-CNN, AlexNet and GoogLeNet for Roman handwritten character recognition using Chars74K dataset. The produced results indicate that GooleNet achieves the best accuracy but it requires a longer time to achieve such result while AlexNet produces less accurate result but at a faster rate.
Conductive and Inductive Coupling between Faulted Power Lines and Buried Pipeline by Considering the Effect of Soil Structure Ali I. El Gayar; Zulkurnain Abdul-Malek; Mohammed Imran M; Chin Leong Wooi; Ibtihal Fawzi Elshami
Indonesian Journal of Electrical Engineering and Computer Science Vol 5, No 3: March 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v5.i3.pp656-660

Abstract

The AC total interference of faulted power lines to gas pipelines sharing the same right of way, which may pose a threat to operating personnel and equipment, was studied. The main advantage of this work is to determine the effects of different soil structures on the induced voltage for various soil resistivities. Two main approaches were used to compute the induced voltages, namely the method of moment (MOM), which is based on electromagnetic field theory, and the circuit based method, which uses the circuit grounding analysis to compute the conductive interference and the circuit based models to compute the inductive interference. A 10-km-long parallel pipeline-transmission line model was developed. The soil resistivity was varied, and the induced voltages obtained from both approaches were compared. Soil resistivity and soil structure are important parameters that affect the AC interference level. The results of the study show that the earth potentials and the metal GPRS are independent. Higher soil resistivity causes the tower ground resistance to increase, thus making the shield wire’s attractiveness as a fault current return path to increase, which in turn forces the induced net EMF and the cumulative GPR in the pipeline to reduce.
Modified fingerprinting localization technique of indoor positioning system based on coordinates Rhowel M. Dellosa; Arnel C. Fajardo; Ruji P. Medina
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i3.pp1345-1355

Abstract

The fingerprinting localization technique is the most commonly used localization technique of the indoor positioning system. It is used by several technologies for short and long range position estimation like wireless fidelity and radio frequency. There are several schemes used to estimate a location for the indoor environment but the drawbacks resulted in complexity issues. These drawbacks have negative effects on location estimation. In order to address these drawbacks, this work attempted to explore the fingerprinting localization technique for location estimation of the indoor environment that focuses on position estimation. Results showed that the simplicity of the design of position estimation without compromising the functionality of the operations was observed with 100% accuracy on position estimation.
A Miniaturized In Situ Tensile Platform under Microscope Zhichao Ma; Hongwei Zhao; Hu Huang; Kaiting Wang; Qinchao Li; Xiaoqin Zhou; Xiaoli Hu
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 3: July 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

Aiming at the mechanical testing of three-dimensional specimens with feature size of centimeter level, a miniaturized tensile platform, which presents compatibility with scanning electron microscope (SEM) and metallographic microscope, was designed and built. The platform could accurately evaluate the parameters such as elastic modulus, elongation and yield limit, etc. The calibration experiments of load sensor and displacement sensor showed the two kinds of sensors had high linearity. Testing of transmission error and modal parameters showed that the platform presented good following behaviors and separation of resonance region. Comparison tests based on stress-strain curve were carried out between the self-made platform and the commercial tensile instrument (Instron) to verify the feasibility of the platform. Furthermore, the in situ tensile experiment under metallographic microscope was carried out on a kind of manganese steel. DOI: http://dx.doi.org/10.11591/telkomnika.v10i3.613
A Novel Strategy for Wind Speed Prediction in Wind Farm Yang Guang; Ziqiang Hu; Xinrong Liu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The empirical mode decomposition (EMD) is well known for predicting wind speed.However, but the joint application of relevance vector machine (RVM) and empirical mode decomposition in wind speed forecasting is seldom found in the field. This paper proposes a relevance vector machine model based on empirical mode decomposition to predict the wind speed.Before the wind speed forecasting with RVM，EMD algorithm is used to decompose wind speed signal in order to weaken the disadvantageous influences of nonlinearity and uncertainty in wind spped. By the decomposition process, a series of intrinsic mode functions (IMFs) are generated. To each IMF, RVM algorithm is used to construct the model and carry on the forecast espectively. The final predicted result is obtained by the superposition of all prediction results. By the simulation experiment, the comparison of several algorithms is shown. The results showed that EMD-RVM model is effective, and has better forecasting precision. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.2770

Page 146 of 920 | Total Record : 9199

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