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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 9,226 Documents
 318   319   320   321   322 
Rainfall-runoff modelling using adaptive neuro-fuzzy inference system Nurul Najihah Che Razali; Ngahzaifa Ab. Ghani; Syifak Izhar Hisham; Shahreen Kasim; Nuryono Satya Widodo; Tole Sutikno
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.pp1117-1126

Abstract

This paper discusses the working mechanism of ANFIS, the flow of research, the implementation and evaluation of ANFIS models, and discusses the pros and cons of each option of input parameters applied, in order to solve the problem of rainfall-runoff forecasting. The rainfall-runoff modelling considers time-series data of rainfall amount (in mm) and water discharge amount (in m3/s). For model parameters, the models apply three triangle membership functions for each input. Meanwhile, the accuracy of the data is measured using the Root Mean Square Error (RMSE). Models with good performance in training have low values of RMSE. Hence, the 4-input model data is the best model to measure prediction accurately with the value of RMSE as 22.157. It is proven that ANFIS has the potential to be used for flood forecasting generally, or rainfall-runoff modelling specifically.
Accord Ignition Diagnosis Based on Improved GA-BP Tie Wang; Chao Wang; Jing Wu
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

BP neural network as a kind of intelligent method is widely used in fault diagnosis, due to the single BP neural network’s error is big, GA algorithm is often used in optimizing BP neural network, but the standard GA algorithm’s searching efficiency is low and it is easy to fall into local convergence. According to the characters of Accord car ignition diagnosis and BP neural network, this article puts forward an improved scheme of the standard GA algorithm optimizing BP net, calculate and analyze different simulation results gotten by MATLAB program. Through calculation: the single BP neural network’s convergence step number is 101, the final mean square error is 0.000997167; the convergence step number that standard GA algorithm optimizes the BP neural net is 83, the final mean square error is 0.000142126; the convergence step number that GA algorithm improved optimizes the BP neural net is 73, the final mean square error is 0.000137508. By the comparison, the improved GA algorithm has a better search efficiency and it’s computation can avoid falling into a local convergence. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3839
Study on the Evaluation Ability of Personalized Information Service of Higher Vocational Library XinJuan Zhou; Meiying Nie
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

Higher vocational library personalized service, refers to the user's preferences, habits, such as unique requirements for information services, it is aimed at higher vocational teachers and students in the teaching, scientific research and the different needs of a corresponding type of service. The root of the individualized service is to respect the user, the user's behavior and habits, for the user to select more important resources and provide the more thoughtful service characteristics. From constructing the high vocational school library personalized service guarantee system, perfecting the high vocational school library personalized service content and construct the high vocational school library personalized service interaction mechanism to promote higher vocational library personalized information service to improve efficiency. In the final analysis, the high vocational school library personalized information service ability evaluation of first and second index, the result is satisfactory. http://dx.doi.org/10.11591/telkomnika.v12i12.4893 
Synchronverter Control for Parallel Operation of Cascaded H-Bridge Inverter Amar Hamza; Sara Altahir; Xiangwu Yan
Indonesian Journal of Electrical Engineering and Computer Science Vol 2, No 1: April 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v2.i1.pp107-114

Abstract

A 21-levels cascaded H-bridge multilevel inverter topology based on three-phase voltage source inverter has been proposed as a superior replacement for conventional two-level in high voltage applications. In this work we have presented the usage of the new technique called virtual synchronous generator based synchronverter model to operate the multilevel inverter as synchronous generator, and to share active and reactive power automatically in case of parallel operated inverters of the same type. Carrier-based PWM is used to control each phase leg of the cascaded H-bridge multilevel inverter. This carrier-based PWM scheme is derived from the carrier phase disposition pulse width modulation strategy. By aid of MATLAB/Simulink package a simulation experiment is established to verify the performance of the proposed technique. 
Optimization Design of Shovel Depth when Loader Shovelling Original Raw Soil Xu Lichao; Ge Ruhai
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

The shovel depth generally references to the depth of material pile operation, or according to operators’ experiences to determine the depth while loader shovelling original raw soil. In view of this situation, the relationship between the shovel depth of loader bucket and shovel resistance is analyzed in this paper, and a mathematical model is constructed for calculating the time of the material filling up the bucket. Taking ZL50 loader as an example, and combined with the relationship curve of the bucket work resistance and the shovel depth, and the traction characteristic curve of I gear, the relationship of the driving speed and shovel depth is worked out, on the basis of this, the mathematical model of optimization algorithm of the shovel depth is established. The result shows that there is an optimal shovel depth when loader shovelling original raw soil, while the operation efficiency of loader is the highest, and there is a best operation depth range of loader shovel, in which work efficiency of loader changes a little, this will bring great convenience to the operation for the driver. DOI: http://dx.doi.org/10.11591/telkomnika.v11i8.3090
Brain Developmental Disorders’ Modelling based on Preschoolers Neuro-Physiological Profiling Abdul Wahab; Norhaslinda Kamaruddin
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: November 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i2.pp542-547

Abstract

Frequently misunderstood by their teachers as being low performers, children with learning disabilities (LDs) such as dyslexia, ADHD, and Asperger’s Syndrome develop low self-confidence and poor self-esteem that may lead to the risk of developing psychological and emotional problems. On contrary, research has shown that a substantial number of these children are capable of learning, and hence, are high-functioning. Therefore, there is a need to provide for the early detection of LDs and instruction that focuses on their needs based on their profiles. Profiling is normally done through observations on the psychological manifestations of LDs by parents and teachers as third-party observers. The first party experience, which is reflected through brain manifestations, is often overlooked. Hence the aim of this paper is to present an alternative solution to profile young children with LDs using electroencephalogram (EEG) that capture brain signals to measure brain functionalities and correlate them with the different LDs. Studies on neurophysiological signals and their relationship to LDs are used to develop Computational Neuro-Physiological (CN-P) model to be an alternative in quantifying the children brain activation function related to learning experience. It is envisaged that such model can profile children with learning disabilities to provide effective intervention in timely manner which can help teachers to provide differentiated instruction for children with LDs. This is in line with the thrust of the Education National Key Result Area (NKRA), the Malaysia Education Blueprint 2013-2025, and the Special Education Regulations 2013.
Recursive Subspace Identification Algorithm using the Propagator Based Method Irma Wani Jamaludin Wani Jamaludin; Norhaliza Abdul Wahab
Indonesian Journal of Electrical Engineering and Computer Science Vol 6, No 1: April 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v6.i1.pp172-179

Abstract

Subspace model identification (SMI) method is the effective method in identifying dynamic state space linear multivariable systems and it can be obtained directly from the input and output data. Basically, subspace identifications are based on algorithms from numerical algebras which are the QR decomposition and Singular Value Decomposition (SVD). In industrial applications, it is essential to have online recursive subspace algorithms for model identification where the parameters can vary in time. However, because of the SVD computational complexity that involved in the algorithm, the classical SMI algorithms are not suitable for online application. Hence, it is essential to discover the alternative algorithms in order to apply the concept of subspace identification recursively. In this paper, the recursive subspace identification algorithm based on the propagator method which avoids the SVD computation is proposed. The output from Numerical Subspace State Space System Identification (N4SID) and Multivariable Output Error State Space (MOESP) methods are also included in this paper.
A novel control strategy for power quality improvement in grid-connected solar photovoltaic system Pankaj Gakhar; Manoj Gupta
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.pp1264-1272

Abstract

In this paper, a novel and dynamic, current control based inverter control strategy has been used for energy optimization and power quality improvement in a grid-connected solar photovoltaic plant using a PI controller. The output of the plant is delivered to the grid passing through a boost converter controlled by an MPPT controller and an inverter. The control strategy proposed offers the flexibility to keep control of active as well as reactive power being injected straight into the grid and also helps in mitigating the total harmonic distortion levels. Also, the effect of the conventional PI controller and PI controller optimized through Genetic Algorithm has been compared. The GA-PI controller has been found effective in reducing the Total Harmonic Distortion in the current injected in the grid. The effectiveness of the work has been observed by using a MATLAB/SIMULINK environment.
Securing E-mail Communication Using Hybrid Cryptosystem on Android-based Mobile Devices Teddy Mantoro; Andri Zakariya
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 4: August 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

One of the most popular internet services is electronic mail (e-mail). By using mobile devices with internet connection, e-mail can be widely used by anyone to exchange information anywhere and anytime whether public or confidential. Unfortunately, there are some security issues with email communication; e-mail is sent in over open networks and e-mail is stored on potentially insecure mail servers. Moreover, e-mail has no integrity protection so the body can be undectected altered in transit or on the e-mail server. E-mail also has no data origin authentication, so people cannot be sure that the emails they receive are from the e-mail address owner. In order to solve this problem, this study proposes a secure method of e-mail communication on Android-based mobile devices using a hybrid cryptosystem which combines symmetric encryption, asymmetric encryption and hash function. The experimental results show that the proposed method succeeded in meeting those aspects of information security including confidentiality, data integrity, authentication, and non-repudiation. DOI: http://dx.doi.org/10.11591/telkomnika.v10i4.874
Multidimensional data mining using a K-mean algorithm based on the forest management inventory of Fujian Province, China Yanrong Guo; Baoguo Wu; Yang Liu
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

To determine relationships between stand volume and site factors in the absence of information about stand age and density, a classification pattern was established using a clustering analysis algorithm and applied to China fir in Fujian Province. The results showed that slope position, elevation, elevation and humus depth were important factors affecting the stand volumes of young/immature forests, near-mature forests, and mature/overmature forests, respectively. The K-mean algorithm could be used to evaluate the influences of site factors on stand volume under different stand age groups and density conditions. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3570

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