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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 9,174 Documents
 473   474   475   476   477 
Design and implement a self-managed computer network for electronic exams and sharing Mokhaled N. Abdullah; Ihab A. Satam; Raid W Daoud; Suhail N. Shihab; Haider A. Kamel
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 1: July 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i1.pp466-475

Abstract

To implement electronic exams and material resources sharing (which is usually limited), an operating base is must be available for trading information and correspondence management. In this paper, self-managed computer networks, no server was designed. This network aims to share information and correspondence management between the laboratory`s computers. A specific software called Packet tracer used for designing and simulating the network, also for choosing the right medium and install the IP address so that a maximum of data flowing with minimum time and no data loss can be achieved. A class-C IP address was selected since it is the famous class and it doesn`t need any special equipment. Also it has a wide range of of computers in case of expanding the network. We didn`t use a wireless medium to protect the network from hacking. The network was based on an Ethernet medium and a star-connection between the computers with an average signal distributer. An excellent result was achieved after testing the network with a low error percentage, as shown in the result section of this paper.
Impact of Missing Data on EM Algorithm under Rayleigh Distribution Zhendong Li; Mengmeng Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 6: June 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Is EM algorithm parameter estimation under Rayleigh distribution sensitive to missing data and if it is, what extent is it? By designing computer simulation methods, contrast and analyze the results of maximum likelihood estimation with complete data and EM algorithm estimation under different missing rate in small sample. It shows that the results were almost identical when the missing rate is below 0.30, but the efficiency of EM parameter estimation gradually deteriorates as the missing rate increases. Meanwhile the results also show that the EM algorithm is sensitive to sample size and the selection of initial value. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5491
Multi-walled Carbon Nanotube Film Sensor for Ethanol Gas Detection Dongzhi Zhang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 10: October 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Multi-wall carbon nanotubes (MWNTs) film-based sensor on the substrate of printed circuit board (PCB) with interdigital electrodes (IDE) were fabricated using layer-by-layer self-assembly, and the electrical properties of MWNTs film sensor were investigated through establishing models involved with number of self-assembled layers and IDE finger gap, and also its ethanol gas-sensing properties with varying gas concentration are characterized at room temperature.Through comparing with the thermal evaporation method, the experiment results shown that the layer-by-layer self-assembled MWNTs film sensor have a faster response and more sensitive resistance change when exposed to ethanol gas, indicated a prospective application for ethanol gas detection with high performance and low-cost. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.2726
Issues limiting the evaluation of post implemented enterprise architecture Babak Darvish Rouhani; Fatemeh Nikpay; Rodina Binti Ahmad
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 3: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i3.pp1424-1429

Abstract

Evaluation in enterprise architecture (EA) project is crucial to provide comprehensive information of the developed EA artefacts. It may assist in accurate evaluation of implemented Information Systems (ISs) in order to realize the achievement of EA’s goals and support EA decision makers. This research aims to identify and elaborate the existing issues of EA evaluation models. One of the crucial identified issues is to understand, capture and represent core aspects of EA artefacts. Most existing evaluation models do not provide structured approach which cover comprehensive aspect of EA implementation and some do not provide good practices to be applied. Hence, this research intends to cover the gap by exploring critical issues in EA implementation evaluation and elaborating main shortcomings of the reviewed EA models and methods through a systematic literature review
Remote sensing image classification based on optimized support vector machine Liqian Cheng; Wenxing Bao
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

To resolve the problem of wetland remote sensing image classification, this paper presents an improved classification algorithm. In this algorithm, genetic algorithm (GA) selection, crossover operation is introduced to the standard particle swarm optimization algorithm (PSO) to form a hybrid particle swarm optimization algorithm (GAPSO). The hybrid algorithm can exploit the advantages of the genetic algorithm and particle swarm algorithm respectively to the full to obtain the global optimal parameters of support vector machine (SVM). Thus the wetland remote sensing image can be classified more accurately. Taking Ningxia Shahu wetland remote sensing images as an example, this paper makes a classification of wetland remote sensing images using optimized support vector machine, and the outcome of the experiment shows that this algorithm has better classification effect than that of similar algorithms. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.4325  
APSO-RBF Nonlinear Calibration Method in Carbon Anode Baking Temperature Measurement Li Xiaobin; Sun Haiyan; Han Congdao; Zhang Jie
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 5: May 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

A correcting nonlinear errors of the thermocouple sensor based on Radial Basis Function Neural Network using particle swarm optimization are introduced. It solves t he shortcoming of Thermocouple Sensor’s application on large data. The result of experiment shows that the nonlinear calibration based on APSO-RBF has higher precision than the method based on RBF and ANFIS. Then, APSO-RBF is used to test fire path temperature in the anode baking. It is proved that the method is effective. DOI: http://dx.doi.org/10.11591/telkomnika.v11i5.2463
A High-accuracy Detection Method Research for Electric Power Harmonic Jingfang Wang
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

In this paper, a time-frequency filter is designed，which can detect the frequency, amplitude and phase of any order harmonics and  interharmonics in signal by means of time domain convolution．The theory analysis are carried to this method  and the calculate formula are concluded, the spectral leakage and the barrier domino offect are shun, the non-integer order wave are eluded, which are engendered  in Fourier domain．Experiment simulation results show that time-frequency filtering convolution flunction can be designed and realized neatly and conveniently ; the influences of fundamental frequency fluctuation on harmonic analysis are restrained by using the approach presented in this paper；the  relative errors of calculating fundamental frequencies with many order harmonics and  interharmonics are no more than 0.00008%, the relative erors of calculating amplitudes are no more than 0.00013%，and those of calculating initial phases are no more than 0.078%． http://dx.doi.org/10.11591/telkomnika.v12i12.6474 
DES encryption and decryption algorithm implementation based on FPGA Subhi R. M. Zeebaree
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.pp774-781

Abstract

Nowadays there is a lot of importance given to data security on the internet. The DES is one of the most preferred block cipher encryption/decryption procedures used at present. This paper presents a high throughput reconfigurable hardware implementation of DES Encryption algorithm. This achieved by using a new proposed implementation of the DES algorithm using pipelined concept.  The implementation of the proposed design is presented by using Spartan-3E (XC3S500E) family FPGAs and is one of the fastest hardware implementations with much greater security. At a clock frequency of 167.448MHz for encryption and 167.870MHz for decryption, it can encrypt or decrypt data blocks at a rate of 10688Mbps.
Linear Modelling for Spectral Images Based on Truncated Fourier Series Qiao Chen; Songhua He; Xiangyang Xu; Bo Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Reflectance spectra of hyperspectral images of the natural scenes are supposed to represent the real world better than any certain classes of natural and man-made spectral reflectance. But spectral images contain a large volume of data and place considerable demands on computer hardware and software compared with standard trichromatic image storage and processing. Although principal component analysis (PCA) based low-dimensional linear models have been widely used in spectral image encoding and compression, there is no a single PCA linear model derived from one data set can be guaranteed to accurate represent other data sets. In this study, we proposed a spectral image encoding method by a single linear model constructed by truncated Fourier series, in which a limited number of parameters that is proportional to the highest frequency cut off if the low-pass hypothesis is valid for any of the data sets. In this paper, several groups of hyperspectral images have been processed using truncated Fourier series, the encoded image are analysed in terms of chromaticity and spectral root mean square (RMS) errors. Results show spectral images can be efficiently compressed when the frequency reach certain limit, and the color information can be well preserved, but there are also large variations across different data sets. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3275 
Fuzzy Control Analysis with Back-EMF in Washing Machines Min-yan DI
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 5: May 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

This paper puts forward a method of detecting material and quantity of the cloth in washing machine based on detection motor back EMF, not only can obtain the pulse number of reporting the information quality and quantity of the cloth, but also can collect information of pulse width, the pulse cycle , help to improve the detection accuracy of the material and quantity of the cloth. On this basis, This article also gives a specific control rules of the fuzzy control of automatic washing machine , With this fuzzy control rule table, off-line Fuzzy control response can be obtained. Finally enquiry form  used to Program of assembly language, determined material and quantity and dirty degree of the cloth, to achieve the best effect of clothes washing by selecting water level, flow intensity, put the amount of detergent and washing time DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.5098

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