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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
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A Modified Boltzmann Machine for Solving Distribution System Expansion Planning in Malaysia Siti Hajar Mohd Tahar; Shamshul Bahar Yaakob; Amran Ahmed
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: October 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i1.pp193-200

Abstract

This paper proposes an effective technique to solve Distribution System Expansion Planning (DSEP) problem by using the artificial neural network. The proposed technique will be formulated by using mean-variance analysis (MVA) approach in the form of mixed-integer quadratic programming problem. It consists of two layers neural network which combine Hopfield network and Boltzmann machine (BM) in upper and lower layer respectively named as Modified BM. The originality of the proposed technique is it will delete the unit of the second layer, which is not selected in the first layer in its execution. Then, the second layer is restructured using the selected units. Due to this feature, the proposed technique will improve time consuming and accuracy of solution. Referring to the case study demonstrated in this paper, the significance outputs obtained are the improvement in computational time and accuracy of solution provided. As the solution provided various of options, the proposed technique will help decision makers in solving DSEP problem. As a result, the performance of strategic investment planning in DSEP certainly enhanced.
Using Neuro-Fuzzy Technique to Classify and Predict Electrical Engineering Students’ Achievement Upon Graduation Based on Mathematics Competency Usamah bin Mat; Norlida Buniyamin
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.pp684-690

Abstract

This paper discusses the findings of a case study that uses neuro-fuzzy tool to classify and predict Electrical engineering students graduation achievement based on mathematics competency. In this study, achievement upon graduation and mathematics grades were classified as the key performance index. It's based on longitudinal progress and cross validation model on two mathematics subjects, semesters’ performance, and graduation achievement of electrical students. The outcomes indicated that there is a correlation between mathematics competency with electrical engineering performance, and it’s interesting to note that weak and satisfactory students in mathematics are not able to achieve first class upon graduation, and yet there is small percentage of excellent and good students in mathematics couldn’t graduate with high achievement. The findings conclude that the combination of statistical analysis and machine learning can help us to extract knowledge and enable university management to help low achievers at early stage. It’s hoped that the findings can help faculty management to review mathematics curriculum with respect to increasing range of engineering field.
Development of a remote tending system for analog broadcast transmitters Gerino Mappatao; Isaiah Mari Zebedia Bautista; Marc Kevin Orsos; Mark Aldrine Ribo; Joseph Castillo
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.pp1474-1484

Abstract

Whenever a broadcast transmitter is on-air, it is required to be tended by licensed broadcast technicians. Technicians periodically monitor the transmitter performance, record the supply voltage and current at the last stage of the power amplifier and keeps a copy for at least two years. Also recorded are the times the transmitter is turned ON and OFF as well as the times the transmitter shuts down and returns back to air. This paper proposes a system to remotely tend analog transmitters in one central monitoring station. The remote tending of several transmitters in one location is made possible through internet connection. However, the challenge in the proposed system is in the gathering of transmitter data. A prototype of the system was constructed and tested in an FM broadcast transmitter. Test results on the prototype performance show that the proposed system can effectively be used to remotely monitor, record data and control the status of analog broadcast transmitters. The primary feature of the proposed system of monitoring several transmitters in one location will bring cost effective advantages to the broadcast operators. 
A New Technology of Remote Sensing Image Fusion Wei Feng; Wenxing Bao
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 3: July 2012
Publisher : Institute of Advanced Engineering and Science

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

Abstract

To resolve the problem of multi-spectral remote sensing image fusion ?in this paper, we put forward an algorithm based on the wavelet packet and pulse-coupled neural network (PCNN) of remote sensing image fusion .The algorithm will be carried out as follows. Firstly, the TM images will be converted into HIS space, and then the luminance component and the high-resolution image will be broken into multi-scale by wavelet packet. Secondly, according to the frequency domain characteristics of the wavelet packet decomposition, we respectively use a method of weighted average in the low-frequency domain and a method of PCNN in the high frequency domain to select reconstruction coefficient.We can get a fused luminance component by taking inverse wavelet packet transform to be reconstructed. Finally, we can obtain the fusion image by taking inverse HIS transform. The experimental results show that the algorithm can be better to retain the image edge and texture details.Keywords: image fusion; HSI; wavelet packet; pulse coupled neural networks DOI: http://dx.doi.org/10.11591/telkomnika.v10i3.617 
Research of Marine Oil Well Testing Technology DENG Yong-hong; ZHAO Li-yong; ZHANG Quan-zhu; HUANG Cheng-yu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

For marine oil well testing equipment totally depending on ground long-distance power supply, this article designed a set of DC power supply with small size, light weight, strong versatility, simple operation, electromagnetic compatibility and high intelligence, etc. It realized closed loop coordinated control of PI regulator of voltage and current , rapid adjustment of current , continuous adjustment of voltage and current and output of constant-voltage and constant-current. The power supply is composed of many link voltage power unit which achieved the continuous adjustable transform from single-phase low voltage AC 110V to DC voltage 0—1000V and current 0—10A through square wave pulse phase shifting control for IGBT inverter. The power supply design has innovative designing，advanced technology, superior performance, and has been applied in marine oil well testing industry. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3748
The Contourlet Transform with Multiple Cycles Spinning for Catenary Image Denoising Changdong Wu; Zhigang Liu; Hua Jiang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 5: May 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

In the catenary images, noise and artifacts are introduced due to the acquisition techniques and systems, which may influence the judgement of catenary quailty and working states. In this paper, the contourlet transform (CT) with performances of multi-scale, multi-resolution and anisotropy is proposed, which can be effectively applied to image denoising. However, the CT hasn’t the spinning invariance, which will lead to the Gibbs-like phenomena. In this paper, the CT with multiple cycle spinning is introduced for image denoising, which can effectively eliminate the visual artifacts due to the lack of translational invariance. Meanwhile, the different Laplacian pyramid (LP) filters and directional filter banks (DFB) are proposed to test noisy images. Finally, test the influence of cycle spinning numbers for denoising effects by using different cycle spinning times. The experiment results show that the proposed method has excellent denoising performance in terms of the signal-to-noise ratio (SNR) and the visual effects, which is also superior to some other existing methods in overcoming the Gibbs-like phenomena, background smoothing and preservation of edge sharpness and texture. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4446  
Agent-Based Automatic Shore Operating Scheduling for a Container Terminal Nannan Yan; Yuan Zhou
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: February 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

This  paper  established  berth  allocation  and  quay crane  scheduling  models  of  shore  operating  for  a  container terminal. Furthermore, the structure of the berth - quay crane scheduling   agent   is   also   given.  Finally,   an   example   using genetic  algorithm  to  resolve  the  berth  allocation  model  and agent  technology  is  shown. The  experiment result shows that the  use  of  intelligent theory  and  technology  can  provide  an effective way for  container terminal operating scheduling. DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.1989
A Study about SOA Based Agriculture Management Data Framework Prasanna Moorthi N; Mathivananr Mathivananr
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 1: January 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i1.pp39-42

Abstract

Agricultural MDF is a sort of data framework concentrating on the agricultural generation, administration, logical research data gathering, ordering, arranging, recovery and yield; it is an imperative piece of the farming informatization. In view of the examination of circumstance and issue of rural data management, this paper give a coordination model of utilizing SOA to outline agrarian MDF. The SOA's hypothesis, execute innovation and application structure and character were talked about in detail. In light of the investigation of necessity is meaning of agrarian MDF. Utilizing the planning thought of SOA, based-SOA farming MDF was presented, and the fundamental idea, model of configuration was talked about in points of interest.
Characterization of a low consumption wireless sensor node for the intensive transmission of physiological signals Ricardo Yauri; Santiago Rubiños; Juan Grados; Mario Chauca
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 2: May 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i2.pp957-965

Abstract

This paper describes the development and implementation of low power consumption wireless sensor nodes for the periodic monitoring of physiological signals with intensive data transmission, using Wi-Fi and ZigBee wireless communication modules, obtaining operation characteristics from the energy point of view that allow to increase the life time of the sensor node. The sensor nodes are designed and built using low energy consumption electronic devices to evaluate their energy performance using current data, transmission time, data transmission period and the relationship with the sensor node's lifetime when transmitting electrocardiographic (ECG), temperature and pulse type physiological signals. The development of this work generates recommendations for the design, development and construction of sensor nodes where the energy consumption of the wireless communication modules is evaluated. In this way, results are obtained that can allow the data transmission period, current consumption and size of data sent to be related to the operating time, defining the operating conditions and wireless technologies that allow the optimization of energy consumption when data is sent to Internet monitoring applications.
Model Identification of Traveling Wave Ultrasonic Motor Using Step Response Shi Jingzhuo; Zhang Caixia
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i9.pp6742-6749

Abstract

Ultrasonic motor’s model adapting to control application is the foundation of the motor’s high performance control. Ultrasonic motor’s frequency-speed control model gives a signification to improve speed control performance. This paper shows the design of stepping response experiments, and also explains the model identification of USM by the way of characteristic point method. Considering its time-varying characteristic, model parameters can be fitted using functions with the independent variable is frequency or speed. Consequently, non-linearity can reflect in speed control model appropriately.

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