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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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FEM Analysis of PMH Stepper Motor Using PDETOOL Simulations of Matlab for Different Topoligies E.V.C Sekhara Rao; P.V.N. Prasad
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 4: August 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

This paper discuss about simulation of permanent magnet hybrid stepper motor (PMH) magnetic circuit using finite element model using PDE toolbox of Matlab. It concludes mmf distribution during excitation due to permanent magnet and excitation coil for eight topologies. DOI: http://dx.doi.org/10.11591/telkomnika.v10i4.856
Camera Self-Calibration in the AUV Monocular Vision Navigation and Positioning GAO Jun-chai; LIU Ming-yong
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

Camera calibration is essential to obtain 3D information from 2D image, for underwater camera self-calibration, because the linear model can not accurately describe the imaging geometry of real cameras, the underwater camera nonlinear model and its calibration method are studied. According to the relationship between underwater and air in the camera focal length, principal point and no vertical factors, the underwater camera imaging geometry is modeled. Underwater camera nonlinear imaging geometry is modeled with the radial distortion. The constraint equation of the nonlinear model parameters are set up with linear imaging model and fundamental matrix of the matching points, which realize the camera self-calibration of nonlinear parameters. For the linear parameters of the camera, with the principal point and no vertical factor known, the self calibration of the focal length can be realized with two images, according to the Kruppa equation. Simulation and real image experiments show that the method given is feasible, and has certain practical value. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3726
The Hybrid Flow Shop Scheduling With Special Time Constraints Xiaobing Cheng; Mingping Xia; Xiuying Wang; Yongjun Xiao
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

A constraint satisfaction optimization model is established for just-in-time HFS scheduling problem with limited waiting time. Considering the problem’s complicated characteristic of having binary variables, this paper decomposes it into a Multiple Capacitated Flow Shop Scheduling (MCFS) problem and a machine allocation problem. During the process of solving the MCFS problem, a local search is embedded into the procedure of constraint satisfaction optimization so as to improve the convergence of the algorithm. Data experiments show that both the model and algorithm are feasible and effective. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.5093
Analysis of Electromagnetic Properties of Doubly-fed Turbine Generator Ding Shuye; Zhang Ning
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: February 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

For the sake of studying the electromagnetic properties of doubly-fed turbine generator. This paper proposed a method which adds an equivalent impedance to simulate the doubly-fed turbine generator’s rated state in Maxwell Circuit Editor. Time–stepping finite element was adopted to calculate. Transfer radial air-gap flux density as FFT, getting harmonic content and the influence of harmonic wave on loss. DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.2006
Multiplexer Based Multiplications for Signal Processing Applications Pankaj Kumar Sinha; Preetha Sharan
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 3: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i3.pp583-586

Abstract

In signal processing, Filter is a device that removes the unwanted signals. In any electronic circuits, Filters are widely used in the fundamental hands on tool. The basic function of the filter is to selectively allow the desired signal to pass through and /or control the undesired signal based on the frequency. A signal processing filter satisfies a set of requirements which are realization and improvement of the filter. A filter system consists of an analog to digital converter is used to sample the input signal, traced by a microprocessor and some components such as memory to store the data and filter coefficients.  Filters can easily be designed to be “linear phase” and it is easy to implement. In this paper, the birecoder multiplier (BM) is designed in terms of VLSI design environment. The proposed multiplier is implemented by using VHDL language and Xilinx ISE for synthesis. The multiplier is mainly used for image processing applications as well as signal processing applications.
Performance analysis of malaysian low voltage distribution network under different solar variability days Nur Izzati Zolkifr; Chin Kim Gan; Meysam Shamsiri
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 3: March 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i3.pp1152-1160

Abstract

The widespread of Photovoltaic (PV) systems as one of the distributed generation technologies could have profound impact on the distribution networks operation, particularly on network losses and network voltages fluctuations. This is mainly caused by the high PV penetrations coupled with high solar variability in the countries with large cloud cover. Therefore, this paper presents an investigation on the impact of residential grid-connected PV system by utilizing a typical low voltage (LV) network in Malaysia under various solar variability days. In this study, there are three scenarios; where, each scenario were performed with different levels of PV penetration and five different solar variability days. The impacts of PV system allocation in different scenarios and various solar variability days are assessed in term of voltage unbalance and network losses. The results propose that Scenario 1: randomly allocation of PV systems across the LV network has the lowest voltage unbalance and network losses especially during overcast day
Dynamic Optimization Algorithm of Wireless Sensor Network Yong Ding
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

This paper analyzes the existing real network and modeled dynamic optimization of wireless sensor network; it realizes the integration of node deployment and selection, and sets the optimization parameters. The simulation experiment shows the proposed algorithm with better optimization fitness value and less evolutionary generation, it balanced the wireless sensor network node energy consumption, improved network coverage and reduced network energy consumption and prolongs the network lifetime. http://dx.doi.org/10.11591/telkomnika.v12i9.4863 
Permanent Magnetic Synchronous Motor Control System Based on ADRC Song Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 6: June 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Permanent magnetic synchronous motor (PMSM) is a strong coupling and non-linear system. In the PMSM speed-regulation system, PID controller is the conventional one, it is difficult to decide the parameters of PID. Moreover, the performance of PID controller is not very well in large disturbance. In the paper, the Active Disturbance Rejection Controller (ADRC) is applied to the PMSM speed-regulation system. The result of simulations and experiments show that this algorithm has better anti-load-disturbance performance than PID controller. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2720
Quality assessment on muscle locations for speech representation Sairul Izwan Safie; Rosuhana Rahim
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 2: February 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i2.pp957-967

Abstract

There are more than 68 muscles, which are activated either simultaneously or sequentially during speech production. To monitor the signals from all these muscles at once, involve a lot of sensors and such system is very expensive. In the Quran therapeutic treatment applications, the use of specific muscles is very important, for the production of correct Arabic pronunciation. The proper pronunciation will improve the reader's understanding of what is being read, thus assisting the effectiveness of the therapy process. The objective of this study is to identify the most optimal muscle location, which is suitable for monitoring the quality of a recitation during the Quran’s therapeutic process, based on the information content embedded in their Electromyogram (EMG) signals. Empirical Mode Decomposition (EMD) technique was used in this study to extract features of the EMG while the combination of Hilbert Huang Spectral Entropy (HHSE) and Kullback Leibler Divergence (KLD) techniques were used to quantify the information content in each feature. Combination of these techniques managed to rank ten widely used speech muscles in the literature based upon their information content. Four muscle locations have been suggested, which is believed to be sufficient in developing a low-cost self-assessment system for monitoring Quran recitation.
The Study of Smart Grid Knowledge Visualization Key Technologies Zhaoyang Qu; Songlin Hou; Li Zhu; Jia Yan; Shaoqing Xu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: January 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

To solve the problems of knowledge visualization for smart grid, such as single manifestations, low-efficient use and not high model reuse rate, a general three-dimensional smart grid knowledge visualization model was presented in this paper. First, the construction method of grid device models based on knowledge-based reasoning was given. Then, the grid visual scene building method was proposed. This included rapid scene organization strategy, and exploration on the storage and re-use mechanism of three-dimensional visualization scene. Moreover, collision detection using swarm intelligence and bionic computing to solve its existing problems. Finally, The feasibility and practicality of the method was verified by a developed intelligent power virtual drill platform based on JME (JMonkeyEngine). DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3998  

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