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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
 375   376   377   378   379 
Improvements of trapezoid antenna gain using artificial magnetic conductor and frequency selective surface Siti Adlina Md Ali; Maisarah Abu; Siti Normi Zabri
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.pp281-286

Abstract

This paper presents the performance enhancement of the trapezoid antenna with artificial magnetic conductor (AMC) and frequency selective surface (FSS). The antenna, AMC and FSS structures are printed on 0.254 mm of RT/Duroid 5880 high frequency laminate. The performances of the antenna with and without AMC and FSS were evaluated. Three cases are analyzed; antenna alone, antenna with AMC and antenna with AMC-FSS. The 2x3 arrays of AMC and AMC-FSS were positioned at the back of the antenna with 6 mm air gap. The antenna alone works at 12 GHz, and shifted to 12.35 GHz and 12.33 GHz for case 2 and case 3, respectively. Despite the shift in the resonance, the antenna is still operating well at 12 GHz with a return loss –16.70 dB for case 2 and–16.84 dB for case 3. Case 3 effectively enhanced the antenna gain from 4.43 dB to 6.74 dB and contributed to a directive antenna. Moreover, case 3 also successfully reduced the radiation of the antenna that penetrates into human body as the antenna is applied for on-body applications. 
Bit Error Rate Analysis of MC-CDMA Systems with Channel Identification Using Higher Order Cumulants Mohammed Zidane; Said Safi; Mohamed Sabri; Ahmed Boumezzough
Indonesian Journal of Electrical Engineering and Computer Science Vol 1, No 1: January 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v1.i1.pp138-152

Abstract

The aim of this paper is to contribute to study the problems of the blind identification and equalization using Higher Order Cumulants (HOC) in downlink Multi-Carrier Code Division Multiple Access (MC-CDMA) systems. For this problem, two blind algorithms based on HOC for Broadband Radio Access Network (BRAN) channel are proposed. In the one hand, to assess the performance of these approaches to identify the parameters of non minimum phase channels, we have considered two theoretical channels, and one practical frequency selective fading channel called BRAN C, driven by non gaussian signal. In the other hand, we use the Minimum Mean Square Error (MMSE) equalizer technique after the channel identification to correct the channel distortion. Theoretical analysis and numerical simulation results, in noisy environment and for different signal to noise ratio (SNR), are presented to illustrate the performance of the proposed methods.
Age group differences on perception of autoplay in mobile game playing among korean gamers Doo Heon Song; Seunghun Lee
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 3: September 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i3.pp1519-1524

Abstract

Autoplay functions are embedded in most mobile role playing games and mobile multiplayer online battle arena games recently. Theoretically, there are different views on autoplay function in that it may be a ‘fake play’ from the traditional view and it is economical and gives functional benefits for game developing companies on balancing from functionalists’ view. In this paper, we investigate how this autoplay functions are perceived to the Korean mobile gamers. We report that there exists a strong age group effect on it and age 25 is the inflection point. Among 304 subjects including 69 females participated in this survey, the positive perception rate is positively proportional to the age from 36% to 73%. The reasons they choose to play autocombat function are convenience and utilizing sack times but the older groups (over 30) emphasize playing while doing other personal doings. Those who do not use autoplay function sustain the traditional view of game playing in that autoplay is ‘not’ the real game playing and there exists an age effect in that the inclination rate of autoplay function is negatively proportional to the age.
Application of Coupled Inductors for Reducing Switching Stresses in a Hybrid Power System Dharani M; Usha P
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 3: December 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i3.pp463-472

Abstract

This paper presents a novel methodology using coupled inductor for hybridizing multi input sources. A four port three input dc-dc converter is chosen, two photovoltaic sources and a storage medium are interfaced with the converter. The two sources can supply the load as well as charge the battery. Four independently controlled switches are employed to provide dc regulated output. The hybridization of the sources and converter is achieved by coupled inductors. The results show that the presence of coupled inductors increases the voltage gain and reduces the switching stress. The proposed system is verified and validated in MATLAB environment under various operating condition.
Disaster Rescue Simulation based on Complex Adaptive Theory Feng Jiang; Liangtu Song; Yida Fan; Wenbo Li; Jie Zhang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 5: May 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Disaster rescue is one of the key measures of disaster reduction. The rescue process is a complex process with the characteristics of large scale, complicate structure, non-linear. It is hard to describe and analyze them with traditional methods. Based on complex adaptive theory, this paper analyzes the complex adaptation of the rescue process from seven features: aggregation, nonlinearity, mobility, diversity, tagging, internal model and building block. With the support of Repast platform, an agent-based model including rescue agents and victim agents was proposed. Moreover, two simulations with different parameters are employed to examine the feasibility of the model. As a result, the proposed model has been shown that it is efficient in dealing with the disaster rescue simulation and can provide the reference for making decisions. DOI: http://dx.doi.org/10.11591/telkomnika.v11i5.2467
Analysis and Design of High Gain NRI Superstrate Based Antenna for RF Energy Harvesting System K.K.A. Devi; C. H. Ng
Indonesian Journal of Electrical Engineering and Computer Science Vol 2, No 3: June 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v2.i3.pp647-656

Abstract

A high gain patch antenna inspired by 4 layers of negative refractive index (NRI) metamaterial superstrate is proposed to operate at downlink radio frequency (RF) band (935 MHz to 960 MHz of GSM 900). The metamaterial unit cell consists of a nested split ring resonator (SRR) and strip line laminated on other side of FR4 substrate. The effective permittivity and permeability of the proposed unit cell are designed synchronously to approach zero, which leads the NRI superstrate to have impedance match with zero and negative refractive index.The NRI superstrate is studied using Fabry-Perot (F-P) resonant cavity. The gain is improved by 82.48% at the air gap of 55 mm in the desired frequency band.Therefore, the gain of the antenna is effectively enhanced based on the negative refractive index metamaterial. The measured radiation pattern and S parameter results also showed that it has good agreement with the simulation results.
The Application of BP Neural Network In Oil-Field Pei-Ying ZHANG; Meng-Meng ZHAO
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Aiming at the situation that many techniques of production performance analysis acquire lots of data and are expensive considering the computational and human resources, and their applications are limited, this paper puts forward a new method to analyze the production performance of oil-field based on the BP neural network. It builds a dataset with some available measured data such as well logs and production history, then, builds a field-wide production model by neural network technique, a model will be used to predict. The technique is verified, which shows that the predicted results are consistent with the maximum error of rate of oil production lower than 7% and maximum error of rate of water production lower than 5%, having certain application and research value. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3280
Nonlinear/Non-Gaussian Time Series Prediction Based on RBF-HMM-GMM Model Dongqing Zhang; Yubing Han; Xueyu Tang
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 6: October 2012
Publisher : Institute of Advanced Engineering and Science

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

Abstract

In order to cope with the nonlinear and non-Gaussian time series, a RBF-HMM-GMM model, which is based on radial basis function (RBF) neural networks with the assumption of measurement noise being hidden Markov model (HMM) and the distribution of each hidden states being approximated by Gaussian mixture models (GMM), is proposed in this paper. In the proposed model, both the orders (numbers of nodes and inputs of RBF network, numbers of hidden states of HMM, numbers of Gaussian mixture component of GMM) and the parameters change over time. Firstly, a scheme for time series forecasts based on RBF-HMM-GMM model is proposed. Then an on-line prediction algorithm based on RBF-HMM-GMM model using sequential Monte Carlo (SMC) methods is developed. At last, the monthly West Texas Intermediate crude oil future price series are analyzed, and experimental results indicate that the RBF-HMM-GMM model is able to predict the time series accurately. DOI: http://dx.doi.org/10.11591/telkomnika.v10i6.1545 
A social constructivism framing of mobile pedagogy in english language teaching in the digital era Zhang Jie; Marlia Puteh; Abu Hasan Sazalli
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.pp830-836

Abstract

Social Constructivism is elaborated as a theoretical background to support modern pedagogy with mobile technology in the digital age. Studies of theories and framework in terms of mobile pedagogy are combed up to find its connection between language teaching and Social Constructivism. Four theoretical framework of mobile pedagogy are listed in this paper to establish the link with Social Constructivism. The analysis of the Zone of Proximal Development from Social Constructivism theory indicates that mobile pedagogy, integrated with technology, pedagogy and subject content, is student-driven model which needs teacher’s guidance in the level that students cannot scaffold knowledge on their own. Teachers have to update pedagogical concept with enhanced technological knowledge for the demand of education in the digital era.
Application of Multi-Sensors Information Fusion for Self-protection System of Robot Qiuhong Gao
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

This paper developed a kind of robot self-protection system using the multi-sensors information fusion technology. This system used five groups of photoelectric sensor and ultrasonic sensor which were installed in different direction of the robot. In this study, signals were gathered by using the complement of ranging of photoelectric sensor and ultrasonic sensor. Then the signals were sent to MCU to achieve multi-sensors information fusion.Core fusion technology was the adaptive weighted fusion estimation algorithm, which can make measurement data more accurate. With such technology, an accurate robot self-protection command was made as to avoid obstacles, to judge narrow highland and to prevent dropping. The experiment results validated its good self-protection function. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2312

Page 377 of 920 | Total Record : 9199

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