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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
ISSN : 25024752     EISSN : 25024760     DOI : -
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Articles 9,174 Documents
Research on Zonal Inspection Intervals of Civil Aircraft Based on Improved FAHP Jia Baohui; Zhang Yuxin; Lu Xiang
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

 One of the most important things in formulating aircraft maintenance program is to determine the zonal inspection intervals. In accordance with the current situation that there has no perfect rating systems of zonal inspection under MSG-3 (Maintenance Steering Group-3) analysis system, a method to calculate the integrate level of zonal rating is to analyze the impact of aircraft zonal rating factors, establish a hierarchical index evaluation system and then utilize the improved fuzzy analytic hierarchy process (FAHP) to determine the indexes’ weight. Moreover, the zonal inspection intervals can be established according to the correspondence between rates and intervals. Finally, take a typical zone of an aircraft as an example to verify the method. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3897  
Type-2 fuzzy logic controller optimized by wavelet networks for mobile robot navigation Fatma Affane; Kadda Zemalache Meguenni; Abdelhafid Omari
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 1: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i1.pp326-334

Abstract

In this work, we will use a new control strategy based on the integration of a type-2 fuzzy reasoning optimized by wavelet networks as part of a navigation system of a mobile robot. The proposed approach is able to facilitate the navigation task in an autonomous manner, in order to determine which commands must be sent at each moment to the mobile robot. This operation must take into account convergence towards a goal with the shortest possible path in the minimum delay between the starting position and the target position. Once the goal is reached, the robot stops.  
Hybrid K-means Algorithm and Genetic Algorithm for Cluster Analysis Dianhu Cheng; Xiangqian Ding; Jianxin Zeng; Ning Yang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 4: April 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Cluster analysis isa fundamental technique for various filed such as pattern recognition, machinelearning and so forth. However, the cluster number is predefined by users inK-means algorithm, which is unpractical to implement.  Since the number of clusters is a NP-completeproblem, Genetic Algorithm is employed to solve it. In addition, due to the largetime consuming in conventional method, an improved fitness function isproposed. According to the simulation results, the proposed approach isfeasible and effective. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4805
Design of an Integrated Controller based on ZigBee Wireless Network Zhongbao Ji
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

There are many different home appliances in our home, for example Lamps, Television, DVD player, etc. Moreover, the appliances are usually controlled by different controller using IR (Infra-Red) signal. This brings our life many inconveniences, and many resources are wasted. Therefore, we propose an integrated controller. It can control these various appliances, only a single one. In order to realize the purpose, the integrated controller must have previous preparations, because the appliances have their different IR controlling signals. Therefore, the integrated controller must “learn” the IR signals from their own controllers, and save them inside. Because the radiation range of IR signal is limited, and the appliances are distributed in different rooms, we propose a novel wireless network based on IEEE802.15.4, especially ZigBee protocol, to transmit the controlling signals from the integrated controller. The proposed scheme consists of two main parts. The one part is the hardware design, include the integrated controlled with ZigBee transmission device and the terminal control module with ZigBee-IR conversion, which converts a control signal transferred through the ZigBee network into an IR typed control signal. The terminal control module is based on CC2430 as the controller core. The other is the software design. The software part uses IAR Embedded Workbench. Based on Zstack-1.4.2-1.1.0 protocol provided by TI, man can program the control codes of the system. The proposed scheme can also provide the well-defined interface and the necessary basis for preparing the smart home system. DOI: http://dx.doi.org/10.11591/telkomnika.v11i8.3043
Entire X-band region metamaterial absorber and reflector with a microstrip patch switch for X-band applications M.M. Gajibo; M. K. A. Rahim; N. A. Murad; O. Ayop; H.A. Majid; M. Aminu-Baba; R. Dewan
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.pp1452-1457

Abstract

A metamaterial structure capable of operating as a wide band absorber as well as an AMC reflector is presented in this report. A microstrip patch copper was used as a switch to switch between the two modes. An FR4 substrate was used and the incidental wave angles were varied from 00 to 600. Simulations results showed that the absorber was able achieve 96% absorption at 13.05 GHz and 100% absorption at 10.00 GHz and 12.00 GHz. Furthermore, it archived over 85% absorption for the entire X-band frequency range. The AMC reflector also was able to achieve 84.97%, 82.88% and 78.69% for incident angles 00, 200 and 400 respectively. Unfortunately, the structure is polarization sensitive.
Improving data quality using a deep learning network Chulhyun Hwang; Kyouhwan Lee; Hoekyung Jung
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 1: October 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i1.pp306-312

Abstract

IoT data is collected in real time and is treated as highly reliable data because of its high precision. However, it often exhibits incomplete values for reasons such as sensor aging and failure, poor operating environment, and communication problems. The characteristics of IoT data transmitted with high precision and time series are suitable to use LSTM, which is one kind of RNN. In this paper, when applying LSTM to data quality improvement in IoT environment where data are collected simultaneously from several sensors, it is suggested that it is effective to construct LSTM individually for each sensor accuracy.
Sliding Mode Control of the Battery Bank for the Fuel Cell-based Distributed Generation System Junsheng Jiao
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

The dynamic models for the fuel cell power and the configuration of the fuel cell distributed generation system are shown in this paper. Due to nonlinear characteristics of fuel cell model, the output voltage of fuel cell varies greatly when the load changes. A novel interface is designed to provide a constant output voltage for charging of the battery bank of the fuel cell distributed generation. The thesis presents a sliding mode control design of PEMFC distributed generation system. A cascaded control structure is chosen for ease of control realization and to exploit the motion separation property of power converters. The simulation results confirm the output current and voltage of the PEM fuel cell array converge rapidly to their reference values. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3594
Distance Characteristics of Sound Wave Attenuation in ER Fluids Nanhui Yu; Jijun Fan
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

Electrorheological fluids(ER fluid) as an electrically controllable acoustic medium has been proved by experimental studies. In this paper,the sound attenuation in ER fluid at different propagation distances was experimentally studied. The results show that sound attenuation of ER fluid could be adjusted by the particle concentration of ER fluid and the intensity of electric field. Amplitude of sound wave in ER fluid increases with the increasing of particle concentration and field intensity; on the other hand, the attenuation of sound wave decreases with the increasing of propagation distance, as well as the particle concentration and field intensity. The experimental results indicate that the solidification effect of ER fluid is beneficial to the propagation of sound wave. DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.1994
Growing Neural Gas Based MPPT for Wind Generator Using DFIG J. Priyadarshini; J. Karthika
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp5751-5757

Abstract

This paper presents Growing Neural Gas (GNG) based a maximum power point tracking (MPPT) technique for a high performance wind generator using DFIG. It is used in variable speed wind energy conversion system. Here, two back to back converters is used and connected to the stator, correspondingly FOC and VOC is done on machine and supply side converter. Constant voltage over the grid is obtained through dc link voltage. For Variable speed wind energy conversion system the maximum power point tracking (MPPT) is a very important requirement in order to maximize the efficiency. Here Neural Network has been trained to learn the turbine characteristic i.e torque versus wind speed and machine speed. It has been implemented to obtain maximum power point tracking for varying wind speed. And finally comparison has been made with and without growing neural gas.
Image processing based foot plantar pressure distribution analysis and modeling Ali Hussein Sabry; W. Z. Wan Hasan; Mohd Nazim Mohtar; Raja Mohd Kamil Raja Ahmad; Hafiz Rashidi Ramli; S. P. Ang; Zainidi Haji Abdul Hamid
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.pp594-605

Abstract

Although many equipments and techniques are available for plantar pressure analysis to study foot pressure distributions, there is still a need for mathematical modelling references to compare the acquired measurements. In order to derive formulas in this concern, this research proposes a measurement-based method which adopts the reference measured parameters such as; the weight of a subject, contact-area size, age, and the pressure level distribution over a plantar image captured by the EMED plantar pressure system. The proposed analysis and algorithm were verified by a group 79 volunteers through data collection with four various measurement conditions. Three mathematical modelling equations have been proposed that describe the relationships between the foot plantar pressure levels and the subject’s body mass, foot size, and age. The modelling of foot plantar pressure could be useful for various applications such as gait analysis, hospitals, clinics, custom shoe making, and early detection of ulceration in the case of diabetic patients.

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