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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
ISSN : 25024752     EISSN : 25024760     DOI : -
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Articles 9,199 Documents
A Novel Multipath Routing Ring Protocol Adapted for WMSN Bennani Mohamed Taj; Mhamed M. Ait Kbir
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i3.pp1045-1053

Abstract

In this paper an enhanced protocol of multipath routing ring that is suitable for transferring images by making many upgrades. First, instead of using propagation between the layers, we use certain parameters such distance and delay to pick the next node of the lower layer. Then, we used an heterogeneous network, including sensors (capture and send images) and connectors (serve as a bridge to the sink). Finally, we used  the pyramid decomposition technique. To avoid congestion, we adjust  the number of levels based on the state of the network. To verify our protocol, we used Castalia simulator to simulate the real transmission conditions. Then, we compared it with GPSR protocol and the original Multipath routing ring protocol. Our proposed protocol proves its efficiency by transferring more images with better quality (PSNR) and consuming less energy compared to other protocols.
A modified sine cosine algorithm for improving wind plant energy production M. H. Suid; M. Z. Tumari; M. A. Ahmad
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp101-106

Abstract

This paper presents a Modified Sine Cosine Algorithm (M-SCA) to improve the controller parameter of an array of turbines such that the total energy production of wind plant is increased. The two modifications employed to the original SCA are in terms of the updated step size gain and the updated design variable equation. Those modifications are expected to enhance the variation of exploration and exploitation rates while avoiding the premature convergence condition. The effectiveness of the M-SCA is applied to maximize energy production of a row of ten turbines. The statistical performance analysis shows that the M-SCA provides the highest total energy production as compared to other existing methods.
Locating Liver Lesion with Local C-V Level Set and Image Registration Zhaohui Luo; Xi Zaifang; Wang Junnian
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 6: June 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

In this paper, we proposed comprehensive methods to locate the liver lesion in multi-phase CT images. It first construct a local liver lesion image from the image in which liver lesion differs from liver tissue most markedly, then pre-segment the lesion with OTSU method to get the initial contour, and evolve the active contour with local C-V level set method to get the final contour of lesion in the CT image. Finally locate the liver lesion in CT images of other phases by image registration. Experiments showed this method can extract liver tumor efficiently.A well-prepared abstract enables the reader to identify the basic content of a document quickly and accurately, to determine its relevance to their interests, and thus to decide whether to read the document in its entirety. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5393 
Architecture Description Approach of Information Systems to System Optimization Cao Wei; Fan Xi-quan; Bie Xiao-wu; Liu Gang-feng; Wu Cheng-hai
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: March 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

The comprehensive electronic information systems architecture is an important part of arming information-based construction, so the architecture description approach is needed to be studied with the system optimization simultaneously. In order to support system optimization, an architecture description approach of information systems is studied with the multi-perspective point’s method. Based on the data of the architecture description models, this article will analysis the data form of the description model and the logic relation of the data therefore the architecture description models can be used to optimize information systems architecture.DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2210
Improving spectrogram correlation filters with time-frequency reassignment for bio-acoustic signal classification Salina Abdul Samad; Aqilah Baseri Huddin
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 1: April 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i1.pp59-64

Abstract

Spectrogram features have been used to automatically classify animals based on their vocalization. Usually, features are extracted and used as inputs to classifiers to distinguish between species. In this paper, a classifier based on Correlation Filters (CFs) is employed where the input features are the spectrogram image themselves.  Spectrogram parameters are carefully selected based on the target dataset in order to obtain clear distinguishing images termed as call-prints. An even better representation of the call-prints is obtained using spectrogram Time-Frequency (TF) reassignment. To demonstrate the application of the proposed technique, two species of frogs are classified based on their vocalization spectrograms where for each species a correlation filter template is constructed from multiple call-prints using the Maximum Margin Correlation Filter (MMCF). The improved accuracy rate obtained with TF reassignment demonstrates that this is a viable method for bio-acoustic signal classification.
Gravitational Search Algorithm Based Technique for Voltage Stability Improvement Mohamad Khairuzzaman Mohamad Zamani; Ismail Musirin; Mohamad Sabri Omar; Saiful Izwan Suliman; Nor Azura Md. Ghani; Nur Azwan Mohamed Kamari
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.pp123-130

Abstract

Voltage instability problem has been known as a significant threat to power system operation since its occurrence can lead to power interruption. This phenomenon can be due to uncontrollable load increment, line and generator outage contingencies or unplanned load curtailment. Optimal reactive power dispatch involving reactive power support can be one of the options for improving voltage stability of a power system, which also requires optimization process. Optimal sizing and location can of reactive power support can avoid the system from experiencing over-compensated or under-compensated phenomena. The presence of optimization techniques has helped solving non-optimal phenomenon, nevertheless some setbacks have also been experienced in terms of inaccuracy and stuck in local optima. This paper presents the application of Gravitational Search Algorithm (GSA) technique in attempt to solve optimal reactive power dispatch problem in terms of reactive power support for voltage stability improvement. Optimization process tested on IEEE 14-bus Reliability Test System (RTS) has revealed its superiority with significant promising results in terms of voltage stability improvement in the test system. 
Modeling and simulation of solar PV module for comparison of two MPPT algorithms (P&O & INC) in MATLAB/Simulink Hayder Moayad Abd Alhussain; Naseer Yasin
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.pp666-677

Abstract

This paper introduces a procedure for the modelling of a PhotoــVoltaic (PV) cell and the application of maximum power point tracking (MPPT) in step-by-step with MATLAB/Simulink. The model of one diode is used to explore the characteristics of IــV and PــV curves of 60W PV module. Due to the non-linear and time varying of PV characteristics, the generated power of the PV is continually varying with atmospheric conditions like temperature and irradiation, the MPPT technology is very important to chase maximum power point (MPP) on the PــV curve to obtain maximum output power from PV array. This study focuses on two common types algorithms of MPPT, namely perturb and observe (P&O) and incremental conductance (INC). A DC--DC boost converter is implemented to regulate the voltage output from the PV array's and for the application of MPPT algorithm.
Research on Single-Variable Current Perturbation Tracking Method for Maximal Power Tracking Control Method of the Solar Power Generation System WANG Yu-xin; ZHANG Feng-ge; LI Lin-lin
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

In this paper, the traditional grid-connected PV perturbation method of disturbance near the maximum power point about the problems of shock,introduced a method based on single variable current control thought,established grid-connected PV maximum power tracking control system mathematical model, a novel single-variable current perturbation tracking method was put out, as long as the detected output current of the solar panel power generation system can achieve a stable variable maximum power tracking, through simulation and experimental study to verify the correctness of the model and the effectiveness of control methods. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.4172
Research on Grain Yield Prediction Method Based on Improved PSO-BP Liguo Zhang; Jiangtao Liu; Lifu Zhi
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 10: October 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i10.pp7404-7411

Abstract

Aimed at the highly nonlinear and uncertainty of grain yield changes, a new method for grain yield prediction based on improved PSO-BP is proposed. By introducing mutation operation and adaptive adjust of inertia weight, the problem of easy to fall into local optimum, premature, low precision and low later iteration efficiency of PSO are solved. By using the improved PSO to optimize BP neural network’s parameters, the learning rate and optimization capability of conventional BP are effectively improved. The simulation results of grain production prediction show that the predict accuracy of the new method is significantly higher than that of conventional BP neural network method, and the method is effective and feasible.
Advanced Optimal for Power-Electronic Systems for the Grid Integration of Energy Sources Salam Waley Shneen
Indonesian Journal of Electrical Engineering and Computer Science Vol 1, No 3: March 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v1.i3.pp543-555

Abstract

Renewable and clean energies like a photovoltaic (PV) energy and wind energy (WE), they can contribute in decreasing the electric energy cost. Energy storage is necessary in PV and WE hybrid system with the variable nature. A hybrid system (PV, WE and diesel), it uses the aim of minimizing the total cost and ensuring the energy available. In this paper, the modeling and cost analysis of a hybrid system (PV, WE and diesel) considering three types systems: First, diesel with a hybrid system. Second, diesel and battery with a hybrid system. Third, grid, battery and hybrid system. In comparison to all types, for cost analysis, a mathematical model have introduced for each type. There are two parts of this work. First by Homer software, it has been used to find the system feasibility and conduct the economic analysis. Second by Matlab simulation, this paper includes status of grid integration in one day through twenty four. The power generation by wind turbine, the change of wind speed which effect on values of power generation. The power generation by solar cell, the change of temperature and radiation which effect in values of power generation.

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