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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
 202   203   204   205   206 
An improved Mamdani Fuzzy Neural Networks Based on PSO Algorithm and New Parameter Optimization Lei Meng; Shoulin Yin; Xinyuan Hu
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.pp201-206

Abstract

As we all know, the parameter optimization of Mamdani model has a defect of easily falling into local optimum. To solve this problem, we propose a new algorithm by constructing Mamdani Fuzzy neural networks. This new scheme uses fuzzy clustering based on particle swarm optimization(PSO) algorithm to determine initial parameter of Mamdani Fuzzy neural networks. Then it adopts PSO algorithm to optimize model's parameters. At the end, we use gradient descent method to make a further optimization for parameters. Therefore, we can realize the automatic adjustment, modification and perfection under the fuzzy rule. The experimental results show that the new algorithm improves the approximation ability of Mamdani Fuzzy neural networks.
Contatc Analysis on Thread Connections of 32.8MN PRESS Columns Zhicheng Huang; Nanxing Wu; Xingguo Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 7: July 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Automatic hydraulic press is widely used for pressing ceramic wall and floor tiles, the four columns of its frame withstand the all work force when it works, so the columns are the key compartments of the frame, and its work performance has an important impact on the structural performance of the entire automatic hydraulic press. Took the column thread connection of 32.8MN automatic hydraulic press as research object, established axisymmetric finite element model and carried on contact finite element analysis for it by using the large commercial finite element software ANSYS to gain the stress distribution of the column’s thread connection. The results and discussion can provide reference for designing automatic hydraulic press columns. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2847
A Hybrid Fuzzy Logic FOPID Position Controller for DC Motor Driving Tracking Systems System Mohamed M. Ismail; Ahmed F. Elbendary; Abdelghany M. Abdelghany
Indonesian Journal of Electrical Engineering and Computer Science Vol 5, No 2: February 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v5.i2.pp327-337

Abstract

This paper presents a developed application for using Fraction Order PID controller (FOPID) in controlling of DC motors installed incelestron telescope, this is done through controlling the angles of two DC motors driven the telescope. The model of celestron telescope is mathematically represented by highly non linear differential equations, this types of nonlinear model is recommended to be controlled using Artificial Intelligent based controller. In this paper, optimal fuzzy FOPID is implemented instead of conventional PID controllers. Genetic Algorithm, fuzzy logic are used for  tuning the FOPID parameters.FOPID  controller is based on  position error and its rate of change as an input vector, the proposed controller set presents a complete precision in forcing the telescope motors to satisfy the predefined position. The simulation results show the dynamic response of the system and the enhancement achieved in rising time and settling time when using FOPID. The response of FOPID is compared with the conventional PID with the same input position reference.
The Fuzzy Inference System with Least Square Optimization for Time Series Forecasting Samingun Handoyo; Marji Marji
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i3.pp1015-1026

Abstract

The rule base on the fuzzy inference system (FIS) has a major role since the output generated by the system is highly dependent on it. The rule base is usually obtained from an expert but in this study proposed the rule base generated based on input-output data pairs with generating rule bases using lookup table scheme, then consequent part of each rule optimized with ordinary least square(OLS), so finally formed rule base from model FIS Takagi-Sugeno orde zero. The exchange rate dataset of EURO to USD is used for the development and validation of the system. In this study, 12 FISs were developed from a combination of linguistic values of n = 3,5,7, 9 with the number of lag (k) assumed to have an effect on output for k = 2,3,5. In training data, values R2 ranged between 0.989 and 0.993, MAPE values ranged between 0.381% and 0.473% where the FIS with the combination of n = 9 and k = 5 has the best performance. In the testing data, values R2 ranged between 0.203 and 0.7858, MAPE values ranged between 0.5136% and 0.9457% where FIS n = 3 and k = 2 perform best.
Towards machine learning-based self-tuning of Hadoop-Spark system Md. Armanur Rahman; Abid Hossen; J. Hossen; Venkataseshaiah C; Thangavel Bhuvaneswari; Aziza Sultana
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i2.pp1076-1085

Abstract

Apache Spark is an open source distributed platform which uses the concept of distributed memory for processing big data. Spark has more than 180 predominant configuration parameter. Configuration settings directly control the efficiency of Apache spark while processing big data, to get the best outcome yet a challenging task as it has many configuration parameters.  Currently, these predominant parameters are tuned manually by trial and error. To overcome this manual tuning problem in this paper proposed and developed a self-tuning approach using machine learning. This approach can tune the parameter value when it’s required. The approach was implemented on Dell server and experiment was done on five different sizes of the dataset and parameter. A comparison is provided to highlight the experimented result of the proposed approach with default Spark configuration system. The results demonstrate that the execution is speeded-up by about 33% (on an average) compared to the default configuration.
Analytical Modeling and Simulation of SAW Filter Using Concave M. M. Elsherbini; M. F. Elkordy; A. M. Gomaa
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.pp495-501

Abstract

A Simple novel tool has been developed to model and simulate SAW filter devices. GNU Concave; Freeware tool with open source coding has been used to specify a basic model for SAW delay lines and filters. This paper presents a way for obtaining the essential parameters of design and development of SAW devices as insertion loss. Other parameters were also predicted by within the reseach work like the radiation conductance, susceptance, Impedance, Admetance and the Frequency Response. They all calculated and plotted using Mathmatical equations drived from an equivalent model used to simulate our target. A comparision between the simulated device and an experimental puplished one has been achieved.
Analysis of Dither in PWM Control on Electro-hydraulic Proportional Valve Guoping LIU; Wuxing XIA; Dawei QI; Ronghua HU
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Plus with modulation (PWM) is widely used in proporational control systems for it is efficient, flexible and anti-interference. Due to the friction and hysteresis of electromagnet, hysteresis exists when hydraulic valve in steady-state, and hysteresis influences the dynamic characteristics of the valve seriously,the hysteresis can be improved by superimposing dithers with certain frequency and amplitude to the valve coil. Aiming at the character of anti-unloading power driver circuit ,this paper analyzed the parasitic dither which exists in ±24V PWM control，besides，the experiment shows that in a high frequency PWM, dither with independent frequency and amplitude can be generated by changing the frequency of the PWM, in this way, the dithers  and average current of coil  can be adjusted separately by changing PWM frequency and PWM duty cycle. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3698
Power System Planning and Analysis Data Model Research Zhanfeng Cao; Jian Zhang; He Hao; Xinghua Zhou
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

Power system planning is according to the demand of the social and economic development, energy resources and load distribution, determine the reasonable power structure and strategy. Power grid voltage grade, transmission mode and reasonable space truss structure, etc. Although a large number of literature have studied various aspects of the power planning, but there are few literatures on power system planning comprehensive study, and just theoretical analysis, useless for practical application. This paper analyzes the load forecasting of power system planning, evaluation of power grid and economic evaluation, gives the basic data needed for the analysis and calculation,and provides theoretical guidance for the actual planning work. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.5112
Role-based Trust Management Model in Multi-domain Environment Xianchen Guo; Jun Zheng; Qikun Zhang; Hongchang Liu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: January 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Based on the in-depth analysis of issues in dRBAC model, which include the lack of commission depth control in distributed environment, the inefficiency of cascading revocation of the authorization roles and the incapability of judging whether the commission violates the principles of RBAC model before it is done, this paper proposed MD-dRBAC Model, designed trust management mechanism for MD-dRBAC Model, which was used to control the access, established the credible authority commission tree and finally proposed the detection algorithm for implicit authorities upgrading to avoid violation of the least privilege principle in RBAC model Extensive security and performance analysis show that the proposed schemes are highly efficient and secure. DOI: http://dx.doi.org/10.11591/telkomnika.v11i1.1917
Dual-Wavelength Thulium Ytterbium Co-Doped Fiber Laser Hazlihan Haris; Ahmad Razif Muhammad; Norazlina Saidin; Mohd Shahnan Zainal Abidin; Hamzah Arof; Mukul Chandra Paul; Sulaiman Wadi Harun
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 2: November 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i2.pp457-461

Abstract

We report on the generation of dual-wavelength fiber laser peaking at 1990.64 and 1998.92 nm with a simple ring cavity setup. The lasers are demonstrated using a fabricated silica-based nano-engineered octagonal shaped double-clad Thulium-Ytterbium co-doped fiber (TYDF) as a gain medium in a simple all-fiber ring configuration. By using 980 nm multimode laser, a stable dual-wavelength laser is generated at a threshold pump power of 1500 mW due to the non-polarization rotation (NPR) effect occurred in the cavity. The effect has been self-controlled by a suppression of mode competition in the gain medium. The result shows that the slope efficiency of the generated dual–wavelength laser is measured to be 27.23%. This dual-wavelength TYDF laser operated steadily at room temperature with a 34 dB optical signal-to-noise ratio. Keywords: Dual-wavelength fiber laser, nano-engineered glass, silica-based TYDF, NPR effect.

Page 204 of 923 | Total Record : 9226

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