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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
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Non-Equidistant Multivariable Model MGRM (1,n) Based on Vector Valued Continued Fraction and Reciprocal Accumulated Generating Operation Youxin Luo
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: January 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Grey system theory is a scientific theory possessed with wide adaptability to study poor information. The construction method of the background value in multivariable grey model was analyzed. The trapezoid formula and extrapolation method using rational interpolation and numerical integration was proposed based on the theory of vector valued continued fractions. And a non-equidistant multivariable grey model MGRM(1,n) was built through applying reciprocal accumulated generating operation. The model is suitable for building both equidistant and non-equidistant models, and it broadens the application range of the grey model and effectively increases both the fitting and the prediction precisions of the model. The applicability and the reliability of the model built were proven by real cases. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.2709
Higher Efficiency Switching Mode Power Amplifier Design using the Third-Harmonic Peaking Turning Mode NSHU. Victor; Z. WenBiao; M.R. Anjum
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 10: October 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i10.pp7160-7166

Abstract

This paper provides the design approach of one stage switching-mode based class F power amplifier (PA).The device’s nonlinear behavior was analyzed to reduce the dissipated power over the active device and therefore the PA efficiency was increase without having to compromise the power amplifier’s size. The load harmonics were controlled so that the drain voltage and the drain current do rarely coincide with each other, thus greatly increase the power performance of the device. Taking the device size and cost parameters into consideration, the design of load harmonic trap circuit was reduced only to the 2nd and 3rd harmonics. The GaN HEMT transistor, for its high-speed switching ability, is used in our design to maximize the output power and the optimized circuit operating at 5.8GHz with output power of 50.98W was simulated. A power added efficiency of 60% with the power gain of 14dB was obtained.
Speech Processing for Text Independent Amharic Language Dialect Recognition Abrham Debasu Mengistu; Dagnachew Melesew Alemayehu
Indonesian Journal of Electrical Engineering and Computer Science Vol 5, No 1: January 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v5.i1.pp115-122

Abstract

Dialect is a difference of verbal communication spoken by people from a particular society or geographic area so the paper focuses on Amharic language dialect recognition. In this paper,  the authors have used backpropagation artificial neural network, VQ(vector quantization), (Gaussian Mixture Models) and a combination of GMM and backpropagation artificial neural network for classifying dialects of Amharic language speakers. In this research, a total of 100 speakers for each group of dialects are considered each having about 10 seconds duration is collected. The feature vectors of Mel frequency cepstral coefficients (MFCC) had been used to recognize the dialects of speakers. In this research paper the recognition model that uses a tanh activation function have a better result instead of using the Logistic Sigmoid activation function in backpropagation artificial neural network. After conducting the above experiments 95.7% accuracy achieved when GMM and backpropagation artificial neural network with tanh activation function are combined.
Comparative Performance of Machine Learning Algorithms for Cryptocurrency Forecasting Nor Azizah Hitam; Amelia Ritahani Ismail
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.pp1121-1128

Abstract

Machine Learning is part of Artificial Intelligence that has the ability to make future forecastings based on the previous experience. Methods has been proposed to construct models including machine learning algorithms such as Neural Networks (NN), Support Vector Machines (SVM) and Deep Learning. This paper presents a comparative performance of Machine Learning algorithms for cryptocurrency forecasting. Specifically, this paper concentrates on forecasting of time series data. SVM has several advantages over the other models in forecasting, and previous research revealed that SVM provides a result that is almost or close to actual result yet also improve the accuracy of the result itself. However, recent research has showed that due to small range of samples and data manipulation by inadequate evidence and professional analyzers, overall status and accuracy rate of the forecasting needs to be improved in further studies. Thus, advanced research on the accuracy rate of the forecasted price has to be done.
Novel switching technique for five leg inverter in dual motor control Jayaprakash Sabarad; G.H. Kulkarni
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 2: August 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i2.pp644-651

Abstract

This work presents a novel switching technique for five leg inverter in dual motor control. As the technology advances in industry, requirements in reducing the cost plays an important role with reliable product design. In conventional method, the six legs are used in 2- three phase voltage source inverters (VSI) to control 2 motors. This proposed technique will give the improved performance of speed control for dual motor control using five leg inverter (FLI). New proposed method suggests to use 5-inverter legs instead of 6-inverter legs to control 2 induction motors. New Switching technique proposed in FLI system is designed in effective way that improved performance and Total Harmonic Distortion of ~23% achieved. The load sharing on common leg is called common mode (CM) of operation. In this new method, closed loop control designed by using space vector pulse width modulation (SVPWM) and direct torque control (DTC) in FLI Technology. With this new method smooth speed regulation is achieved when load torque is changed. THD% for CM-FLI is reduced when compared with convetional FLI technique. The new switching technique is controlled in effective way that the common leg is not overloaded and able to drive both the induction motors independently at required speeds. Proposed switching technique verified at different operating speeds with No load and rated torque. Simulation results computed using MATLAB/SIMULINK Software. 
Real-time water quality monitoring system: an IoT application Zulkhairi Mohd Yusof; Md Masum Billah; Kushsairy Kadir
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 1: July 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i1.pp178-182

Abstract

There is huge number of disease which is caused through water drinking that being polluted was supplied to the consumer. This is something that cannot be underestimate because it can cause high cost of treatment or death. Its not only cause troubles to the consumer which is human, it is also included all aquatic life and surrounding ecosystem. There is way to overcome this problem that created before which is take the sample of water to the lab. The result of water being polluted or not will be released by the lab. But this system going to take lot of times because there are few process that should be followed. This system is not suitable anymore because it is not portable, easy and fastest. It should be upgraded to the IoT system because it can cut times, internet base and people will be more alert to the quality of water. Therefore, a real-time water quality monitoring system is proposed in this research to reduce number of fatality happened from water.
X-band Band-pass Frequency Selective Surface for Radome Applications Tariq Rahim; Jiodong Xu
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 2: November 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i2.pp281-285

Abstract

A low profile multi layer miniaturized unit cell frequency selective surface (FSS) with second-order band-pass response is design. The metallic layers in the form of capacitive patches and inductive grids are separated by dielectric substrates. The non-resonant sub-wavelength unit cells with unit cell dimensions and periodicities on the order of 0.15λ. The overall thickness of approximately 0.03λ is designed which is useful at lower frequencies with long wavelengths. The FSS exhibit a stable frequency response to different angles of incidence and polarizations. The analysis and synthesis of the FSS is done using equivalent circuit method and simulated using CST microwave studio at X-band.
Analyzing Head and Eye Movement System with CORBA Wang Changyuan; Zhang Jing; Chen YuLong
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

In order to study the vestibular system in different organs of movement as well as their collaboration between working mechanism, this paper designs a model of the common object request broker architecture (CORBA) for the head and eye movement system based on the vestibular function. By analyzing physiological characteristics of the head and eye movement model, and further introducing the structure features of CORBA. It focus on the component composition and the model design of CORBA components library. According to the physiology work model of head and eye movement, the CORBA model of head and eye movement is established. As well as the structure of the model is designed in real application of head and eye movement measurement system. This paper provides a new way to research the head and eye movement system through using mathematical modeling and application structure which is based on vestibular function.  DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3506
Engine Speed Control of Excavator With PID Method Jun Zhang; Shengjie Jiao; Guimao Si; Xuepeng Cao; Min Ye; Jinping Li; Xinxin Xu; Daopei Zhang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 5: May 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Distinction work task power-matching control strategy was adapted to excavator for improving fuel efficiency; the accuracy of rotate engine speed at each work task was core to excavator for saving energy. 21t model excavator ZG3210-9 was taken as the study object to analyze the rotate speed setting and control method, linear position feedback throttle motor was employed to control the governor of engine to adjust rotate speed. Improved double closed loop PID method was adapted to control the engine, feedback of rotate speed and throttle position was taken as the input of the PID control mode. Control system was designed in CoDeSys platform with G16 controller, throttle motor control experiment and engine auto control experiment were carried on the excavator for tuning PID parameters. The result indicated that the double closed-loop PID method can take control and set the engine rotate speed automatically with the maximum error of 8 rpm. The linear model between throttle feedback position and rotate speed is established, which provides the control basis for dynamic energy saving of excavator. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4917
Detection of attention and meditation state-based brainwave system to control prosthetic arm Ahmad Danial Abdul Rahman; Hanim Hussin
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 2: February 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i2.pp794-800

Abstract

Neurotechnology has led to the development of Brain-Computer Interfaces (BCIs) or Brain-Machine Interfaces (BMIs) which are devices that use brain transmission signal to operate. Electroencephalography (EEG) is one of the recent methods that could retrieve transmission signal of the brain from scalp safely. This paper will discuss the development of Neuroprosthetics limb by using patients’ attention and meditation level to produce movement. The main objective of this project is to restore mobility of patients that have suffered from motor disabilities. This project is carried out by interfacing the data acquisition device which is NeuroSky Mindwaves Headset with the microcontroller to move the prosthetic arm as the output. Arduino Nano microcontroller acts as data processing and a controller to the arm as the output. The prosthetic arm is designed by using SOLIDWORKS software and fabricated by 3D printed. From this project, the user will be able to control the prosthetic arm ranging from rotating the hand to bending the fingers creating a grasp and release gesture.

Page 262 of 923 | Total Record : 9226

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