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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
Sliding Mode Robustness Control Strategy for Shearer Height Adjusting System Xiuping Su; Wei Li
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

This paper firstly established mathematical model of height adjusting hydro cylinder of the shearer, as well as the state space equation of the shearer height adjusting system. Secondly we designed a shearer automatic height adjusting controller adopting the sliding mode robustness control strategy. The height adjusting controller includes the sliding mode surface switching function based on Ackermann formula, as well as sliding mode control function with the improved butterworth filter. Then simulation of the height adjustment controller shows that the sliding mode robustness control solves buffeting of typical controller, and achieves automatic control for the rolling drum of the shearer. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3734
The Self-Adaptive Fuzzy PID Controller in Actuator Simulated Loading System Chuanhui Zhang; Xiaodong Song
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

This paper analyzes the structure principle of the actuator simulated loading system with variable stiffness, and establishes the simplified model. What’s more, it also does a research on the application of the self-adaptive tuning of fuzzy PID(Proportion Integration Differentiation) in actuator simulated loading system with variable stiffness. Because the loading system is connected with the steering system by a spring rod, there must be strong coupling. Besides, there are also the parametric variations accompanying with the variations of the stiffness. Based on compensation from the feed-forward control on the disturbance brought by the motion of steering engine, the system performance can be improved by using fuzzy adaptive adjusting PID control to make up the changes of system parameter caused by the changes of the stiffness. By combining the fuzzy control with traditional PID control, fuzzy adaptive PID control is able to choose the parameters more properly. DOI: http://dx.doi.org/10.11591/telkomnika.v11i5.2495
Speech Enhancement Research based on Fractional Fourier transform 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

As many traditional de-noising methods fail in the intensive noises environment and are unadaptable in various noisy environments, a method of speech enhancement has been advanced based on dynamic Fractional Fourier Transform (FRFT)filtering. The acoustic signals are framed. The renewing methods are put in FRFT optimal disperse degree of noising speech and this method is implemented in detail. By TIMIT criterion voice and Noisex-92, the experimental results show that this algorithm can filter noise from voice availably and improve the performance of automatic speech recognition system significantly. It is proved to be robust under various noisy environments and Signal-to-Noise Ratio (SNR) conditions. This algorithm is of low computational complexity and briefness in realization. http://dx.doi.org/10.11591/telkomnika.v12i12.6694 
A simulation study of first-order autoregressive to evaluate the performance of measurement error based symmetry triangular fuzzy number Muhammad Shukri Che Lah; Nureize Arbaiy
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 3: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i3.pp1559-1567

Abstract

Data collected by various data collection methods are often exposed to uncertainties that may affect the information presented by quantitative results. This also causes the forecasted model developed to be less precise because of the uncertainty contained in the input data used. Hence, preparing the data by means of handling inherent uncertainties is necessary to avoid the developed forecasting model to be less accurate. Traditional autoregressive (AR) model uses precise values and deals with the uncertainty normally in forecasting model. Fewer researches are focused on data preparation in time-series autoregressive for handling the uncertainties in data. Hence, this paper proposes a procedure to perform data preparation to handle uncertainty. The fuzzy data preparation involves the construction of fuzzy symmetric triangle numbers using percentage error and standard deviation method. The proposed approach is evaluated by using the simulation method for first-order autoregressive, AR (1) model in terms of forecasting accuracy performance. Simulation result demonstrates that the proposed approach obtains smaller error in forecasting and hence achieving better forecasting accuracy and dealing with uncertainty in the analysis.
Harmonic Characteristic Analysis of Magnetically Saturation Controlled Reactor Tian Ming Xing; Yuan Dong Sheng; Yan Hong
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 8: August 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

As the magnetically saturation controlled reactor’s (MSCR) operation is based on the saturation characteristic of the core, so its harmonic characteristic should be valued. According to the structural characteristic and working principle, the mathematical model of MSCR is derived. And the harmonic components of physical quantities such as current, voltage and magnetic field parameters are analyzed by function characteristic analysis. Then, it concludes that MSCR’s working current is an odd harmonic function, containing fundamental and odd harmonic components; controlling current and voltage are even harmonic functions, containing DC and even harmonic components; the core flux linkage, flux, magnetic field intensity and magnetic field density are just containing DC and fundamental components. At last, a simulation model for MSCR is fabricated with MATLAB/Simulink, the simulation results show that the paper’s analysis and conclusions are accurate. So, this paper can provide a reference to further analysis and proposition of new harmonic suppression methods of MSCR. DOI: http://dx.doi.org/10.11591/telkomnika.v11i8.2276
Rough Sets Algorithm and Its Application in Fault Diagnosis Huiling Liu; Hongxia Pan; Aiyu Wang
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

Gearbox is one of the most complicate rotary mechanical apparatus, the fault signal shows non-linear and non-stationary, and how to recognize the faults effectively is a key issue. A novel method based on wavelet packet transform and rough sets theory was presented for fault diagnosis of gearbox. First, the vibration signals were decomposed into eight bands from low frequency to high frequency by wavelet packet transform, energy characteristics were extracted as the condition attributes. Second, an improved NaiveScaler algorithm was put forward to discrete continuous attributes in the case of assuring classification ability. A new reduction algorithm based on condition equivalence classifications was proposed to delete the redundant features, which could improve the reduction efficiency. Lastly the decision rules were drawn and utilized to test the samples. The results show that the method could obtain more sensitive fault characteristic parameters and have better classification ability accordingly. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3308 
Research on Infrared Special Facula View Measurement Method Based on Image Processing Technology Hanshan Li; Zhiyong Lei
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 6: October 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

In order to verify the detection range of special facula size which is emitted by infrared sensor, the method that uses image processing technology to calculate it parameters is proposed. According to the test condition, space geometric measurement model on calculating infrared sensor special facula view is set up, its measure principle is analyzed, and special facula image processing algorithm is give out. Standard grid screen is used to calculate and calibration special facula view, based on the size of special facula view in standard grid screen and the space geometric relation of camera and grid, the special facula view can be calculated and display in the computer. This paper analyzes the principle of measuring special facula view, researches its measure structure, and studies the disposing arithmetic of special facula view by image processing method, including image preprocessing, background and facula separation, and the edge detection. Using space physical geometric relation, special facula view angle can be gain. Through experiments, the technology of image processing is feasibility in special facula view calculating. DOI: http://dx.doi.org/10.11591/telkomnika.v10i6.1396
Based on Weighted Gauss-Newton Neural Network Algorithm for Uneven Forestry Information Text Classification Yu Chen; Liwei Xu
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

In order to deal with the problem of low categorization accuracy of minority class of the uneven forestry information text classification algorithm, this paper puts forward the uneven forestry information text classification algorithm based on weighted Gauss-Newton neural network, on the basis of weighted Gauss-Newton algorithm, the algorithm is proved via singular value decomposition principle. The experimental result shows that the algorithm has higher classification accuracy of majority class and minority class than algorithm of common classification. The algorithm expands a new method for the research on the uneven forestry information text classification algorithm. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4388
Performance of double chamber microbial fuel cell: effect of waste water, electrode thickness and distance Aziah Khamis; Nur Diana Nordin; Mohamad Hafiszi Mokhtar
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 2: November 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i2.pp619-626

Abstract

This paper presents the performance evaluation of a double chamber microbial fuel cell (MFC) to obtain the maximum amount of power production. Previous works have shown that the performance of a double chamber MFC varies depending on the design of the MFC and the type of waste water. Therefore, various MFC tests were conducted to obtain the maximum amount of power production by varying the distance of electrodes and thickness of the electrode. The types of water were also varied (i.e., fertilizer water, lake water, and soil water) to highlight the effect of the expected different amount of microbes. The experimental results demonstrated that the thicker anode (0.6 cm) and the shorter distances between electrodes (15 cm) showed higher amount of power production in all the three types of waste water. Furthermore, the fertilizer water generated a higher amount of power compared to the soil and lake water.
Substitution-based linguistic steganography based on antonyms Fawwaz Zamir Mansor; Azizan Ismail; Roshidi Din; Aida Mustapha; Noor Azah Samsudin
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.pp530-538

Abstract

The study of steganography focuses on strengthening the security in protecting content message by hiding the true intention behind the texts. However, existing linguistic steganography approach especially in synonym-based substitution is prone to attack. In this paper, a new substitution-based approach for linguistic steganography is proposed using antonyms. The antonym-based stego-text generation algorithm is implemented in a tool called the Antonym Substitution-based (ASb). Evaluation of ASb was carried out via verification and validation. The results showed highly favorable performance of this approach.

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