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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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Measure learning effectiveness among children using EEG device and mobile application Magrizef Gasah; Aslina Baharum; Nurul Hidayah Mat Zain
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 1: January 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i1.pp191-196

Abstract

This paper presents a method in measuring the learning effectiveness among children using EEG device and Mobile Application.  In this study, an approach to measure the children learning effectiveness using a mobile learning application and EEG device have been developed. The method used to develop the approach was from the extensive literature review from previous research related to children learning effectiveness and its experimental works. A quantitative method was used to measure the effectiveness of children learning and the result of this experimental work shows that children learning effectiveness can reach nearly 73%. Since lot of teachers and student having trouble in accessing the learning activity whether it was effective or not, this study shown a significant way to solve such problem.
A Study of Grouping Heuristicson Vehicle Scheduling ProblemBased on Changeable Expenditure Coefficient Model Yong Zeng; Da-Cheng Liu; Ju-Xuan Li; Xiang-Yu Hou
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: January 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

A kind of vehicle scheduling problem(VSP) with non-full load and combined pick-up and delivery is studied， a changeable expenditure coefficient model according to the actual load is made，and grouping heuristicsalgorithmunder restrictions of vehicleload capacity、working time and mileage is designed to minimize the number of vehicle、the distance of empty load and the useless freight turnover．By programming and calculating，an example proves the algorithm is feasible and effectual. DOI: http://dx.doi.org/10.11591/telkomnika.v11i1.1913
QC LDPC Codes for MIMO and Cooperative Networks using Two Way Normalized Min-Sum Decoding Waheed Ullah; Yang Fengfan; Abid Yahya
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5448-5457

Abstract

This paper is based on the magnitude overestimation correction of the variable message by using two normalized factors in each iteration for LDPC min-sum decoding algorithm. The variable message is modified with a normalized factor when there is a sign change and with another normalized factor when there is no sign change during any two consecutive iterations. This paper incorporates QC LDPC codes using this new decoding algorithm for flat fading multiple input multiple output (MIMO) channel and single relay cooperative communication networks for improving the bit error performance. MIMO flat fading channel is used with zero forcing (ZF) spatial decoding for noise suppression. The performance is greatly enhanced by using the new min-sum algorithm for medium and short length Cooperative communication network and MIMO LDPC codes.
Luminescence Properties of Eu2+ and Mn2+ Doped Sr2MgSiO5 Phosphors Pan Zhou; Dawei He; Yongsheng Wang; Haiteng Wang; Hongpeng Wu
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

Eu2+ions doped Sr2MgSiO5 phosphors, and Eu2+- Mn2+ions-doped Sr2MgSiO5 phosphors were prepared via high-temperature solid state reaction method and sol-gel process, respectively. Luminescent mechanism and characteristics of all samples were studied. The results showed that lattice structure of Eu2+ ion-doped Sr2MgSiO5 samples was pyramidal system. The influence of flux on luminescence properties of Eu2+ ion-doped Sr2MgSiO5 phosphor was studied. The results of spectral analysis showed that flux changed the emission intensity of Sr2MgSiO5: Eu2+ samples at different wavelengths. Emission wavelength and relative intensity of the samples changed. In order to study the luminescence properties and energy transfer between Eu2+ and Mn2+, Eu2+ ions and Mn2+ ions co-doped samples were prepared. The results showed that excitation bands of the samples ranged from 250nm to 450 nm. When excited at 365nm, the emission spectrum of the samples consisted of three bands: blue, green and red, respectively. When Eu2+ ions and Mn2+ ions co-doped, the energy of Eu2+ ions was transferred to Mn2+ ions, which made Mn2+ ions became luminescence center in Sr2MgSiO5host. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2642
Design and Analysis of Parallel MapReduce based KNN-join Algorithm for Big Data Classification Xuesong Yan
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 11: November 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i11.pp7927-7934

Abstract

In data mining applications, multi-label classification is highly required in many modern applications. Meanwhile, a useful data mining approach is the k-nearest neighbour join, which has high accuracy but time-consuming process. With recent explosion of big data, conventional serial KNN join based multi-label classification algorithm needs to spend a lot of time to handle high volumn of data.  To address this problem, we first design a parallel MapReduce based KNN join algorithm for big data classification. We further implement the algorithm using Hadoop in a cluster with 9 vitual machines. Experiment results show that our MapReduce based KNN join exhibits much higher performance than the serial one. Several interesting phenomenon are observed from the experiment results.
Design of Asynchronous Motor Soft Starting and Saving Energy Control Based on PLC Xing-ping LIU
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

For Asynchronous motor starting current impact is large, efficiency of running at light load is low. An energy-saving controller was designed with the PLC (Programmable Controller) as the core. It could realize the soft start and the energy saving control of motor when motor light run. The experimental results showed that: the energy-saving controller had the characteristics of stable starting, flexible parameter adjustment, energy saving effect obviously when motor light run DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4540
Artificial fish swarm optimization algorithm for power system state estimation Surender Reddy Salkuti
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.pp1130-1137

Abstract

In this paper, the power system state estimation (SE) problem is formulated as a general non-linear programming problem with equality constraints and boundary limits on the state variables. The proposed SE problem is solved using an evolutionary based Artificial Fish Swarm Optimization Algorithm (AFSOA). The AFSOA is a global search algorithm based on the characteristics of fish swarm and its autonomous model. The detailed algorithm with its flow chart is presented in this paper. To show the effectiveness of the proposed SE approach, six bus test system is considered. The obtained results are compared with other algorithms reported in the literature.
Study on VRPTW based on Improved Particle Swarm Optimization Wang Fei
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

Vehicle routing problem with time windows (VRPTW) is a typical non-deterministic polynomial hard (NP-hard) optimization problem. In order to overcome PSO’s slow astringe and premature convergence, an improved particle swarm optimization (IPSO) is put forward. In the algorithm, it uses the population entropy to makes a quantitative description about the diversity of the population, and adaptively adjusts the cellular structure according to the change of population entropy to have an effective balance between the local exploitation and the global exploration, thus enhance the performance of the algorithm. In the paper, the algorithm was applied to solve VRPTW, the mathematical model was established and the detailed implementation process of the algorithm was introduced. The simulation results show that the algorithm has better optimization capability than PSO. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5395
PD Iterative Self-learning Control for 3R Plane Robot Trajectory Tracking Hongwei Gao; Kun Hong; Jinguo Liu; Yuquan Leng; Chuanyin Liu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 10: October 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

In order to improve the speed and accuracy of the trajectory tracking control for 3R plane robot, a PD iterative self-learning control algorithm is proposed based on the PD iterative control algorithm. The error of target value and the actual value of this iteration is introduced into the PD learning gain to make the PD learning gain becomes a function of the error and to achieve the effect of self-learning. Simulation analysis of planar 3-link robot trajectory control shows that the proposed algorithm is better than unmodified in speed ability and accuracy. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3427  
Hybrid concentrated photovoltaic thermal technology for domestic water heating M. K.Panjwani; S. X. Yang; F. Xiao; K. H. Mangi; R. M. Larik; F. H. Mangi; M. Menghwar; J. Ansari; K. H. Ali
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 3: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i3.pp1136-1143

Abstract

There is an increasing reliance on renewable energy especially Solar Energy as the fossils are on the way to depletion.It offers an environmental friendly solution with an affordable comparative paradigm. Solar photovoltaic-thermal collectors have remained of the particular interest because of their higher overall efficiencies. Most of its applications related with solar hybrid PVT systems focuses more on electrical output rather than thermal output, and the contacting fluid is allowed to act as a coolant to assure that the solar cell operates in the ranges specified by the manufacturer to guarantee higher electrical efficiency. This ultimately allows fluid to retain higher temperature that could be utilized for meeting the heating demand of any residential household. First, the PVT analyses are performed over a system comprising of Fresnel-based Solar Module to allow higher irradiance to fall for relative higher conversion of efficiency and to achieve higher temperature ranges in the contacting fluid (water). The electrical parameters are compared, and a significant increase in the power ranges is concluded. Secondly, a simulated thermal structure of the heating tank is presented that utilises the heated water from the PVT system in meeting the heating demand of a residential household. When accounting all the electrical parameters, approximately 10% increase is noticed in power produced, and sufficient energy used for the traditional heating of water is retained.

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