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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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Casting Forming Process Simulation of Aluminum Flywheel QIAO Yin-hu; ZHANG Chun-yan; CHEN Jie-ping
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 4: April 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Simulating the forming process of casting in this paper, according to two kinds of analysis results of the designed model, the reasonable structure, pouring temperature and riser selecting of the flywheel are determined to ensure the quality of castings. The using of simulation software before the actual molding can get rid of the possible hidden danger, to shorten the product development cycle, save money, improve product quality. DOI: http://dx.doi.org/10.11591/telkomnika.v11i4.2364
Fuzzy-logic-control of two-switch & three-switch-serial-input interleaved-forward-converters Lakshmi Ramalingam; K. Karunanithi; P. Chandrasekar
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp147-155

Abstract

This manuscript manages F-L-C of “two-switch& three-switch-interleaved-forward- -converters” with DC-engine-load”. Numerous modern applications require DC-power. This forward-converter convert's unregulated DC-capacity to controlled DC-control. It contains high recurrence transformer which is additionally called ‘isolation-transformer’. This gives disconnection among load& fundamental-circuit. The AC- control is amended utilizing half-wave-rectifier. The swell in the yield is separated utilizing pi- filter. FLC is intended for two-switch and three-switch forward-converter-systems. The simulation is completed by utilizing MATLAB-simulink. The controller execution is considered for different estimations of load-torque for both two-switch& three-switch forward-converter -frameworks.
The Transmission Properties of Coated THz Teflon Tube Wu Pan; Tian bo Duo; Zichen Liu; Jun Chen
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.pp5185-5190

Abstract

The S parameters, attenuation characteristics and group delay characteristics of the Teflon tube have analyzed in the paper. Firstly, the S parameters of metal and polymer tube with the same structure are compared. Then the transmission properties of the simple terahertz Teflon tubes and terahertz Teflon tubes which are coated metal film by three different ways are simulated, and the advantages and disadvantages are contrasted. The S parameters of Teflon tube are more ideal, but it is not plain, the attenuation within the working frequency is less than 10.77dB/m, the group delay is less than 10-10s, coating Teflon tube with film can make S parameters plain. Teflon tube can transmit THz wave effectively, and if the Teflon tube is coated with films, the transmission characteristics can be improved in conclusion.
Local mean based adaptive thresholding to classify the cartilage and background superpixels Hong Seng Gan; Bakhtiar Al-Jefri Adb Salam; Aida Syafiqah Ahmad Khaizi; Muhammad Hanif Ramlee; Wan Mahani Wan Mahmud; Yeng-Seng Lee; Khairil Amir Sayuti; Ahmad Tarmizi Musa
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.pp211-220

Abstract

Semi-automatic segmentation is common in medical image processing because anatomical geometries demonstrated by human anatomical parts often requires manual supervision to provide desirable results. However, semi-automatic segmentation has been infamous for requiring excessive human intervention and time consuming. In order to reduce a forementioned problems, seed labels have been generated automatically using superpixels in our previous works. A fixed threshold method has been implemented to classify cartilage and background superpixels but this method is reported to lack the adaptiveness to changing image properties in 3D magnetic resonance image of knee. As a result, the coverage of background seeds are not sufficient to cover whole background area in some cases. In this work, we proposed a local mean based adaptive threshold method as a better alternative to the fixed threshold method. We calculated local mean for each block in an integral image and then use it to differentiate background superpixels from cartilage superpixels. The method is robust to illumination changes and simple to use. We tested the adaptive threshold on 35 knee images of different anatomical geometries and proved the proposed method could provide more comprehensive background seed labels distribution compared to fixed threshold method
Random, PSO & MDBPSO based Sensor Deployment in WSN Aparna Pradeep Laturkar; Sridharan Bhavani; DeepaliParag Adhyapak
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 1: April 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v10.i1.pp286-294

Abstract

Wireless Sensor Network (WSN) is emergingtechnology and has wide range of applications, such as environment monitoring, industrial automation and numerous military applications. Hence, WSN is popular among researchers. WSN has several constraints such as restricted sensing range, communication range and limited battery capacity. These limitations bring issues such as coverage, connectivity, network lifetime and scheduling and data aggregation. There are mainly three strategies for solving coverage problems namely; force, grid and computational geometry based. This paper discusses sensor deployment using Random; Particle Swarm Optimization (PSO) and grid based MDBPSO (Modified Discrete Binary Particle Swarm Optimization) methods. This paper analyzes the performance of Random, PSO based and MDBPSO based sensor deployment methods by varying different grid sizes and the region of interest (ROI). PSO and MDBPSO based sensor deployment methods are analyzed based on number of iterations. From the simulation results; it can be concluded that MDBPSO performs better than other two methods.
Blockchain technology opportunities in Kurdistan, applications and challenges Hilmi Abdullah; Ali Hikmat Ibrahim
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 1: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i1.pp405-411

Abstract

Recently, the blockchain technology has received a vast popularity because it brought revolutionary changes to some industries due to the fact that this technology enables the implementation of secure, decentralized and trustworthy applications. Moreover, this technology has many advantages over centralized systems such as immutability and transparency. The most common application of the blockchain technology is the Bitcoin cryptocurrency, which provides a method of transferring money in a secure way without the involvement of a central authority. In addition to the Bitcoin, there are other applications based on the blockchain technology in a variety of sectors and industries such as governance, healthcare and supply chain. In this paper, we discuss blockchain applications that can be implemented in Kurdistan and we highlight their opportunities and challenges.
Phasor Measurement Unit Based on Robust Dynamic State Estimation in Power Systems Using M-Estimators Sideig Abdelrhman Dowi; Gengyin Li
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.pp7631-7639

Abstract

This paper introduces the uses of Robust Dynamic State Estimation (RDSE) with Phasor Measurement Unit (PMU), The M-Estimators Quadratic Linear (QL) and Square Root (SR) Estimators have been used. For the solution of the M-estimators problem, Iteratively Re-weighted Least Squares Estimation (IRLS) method is applied. In this work, we used the Decoupled Current Measurement (DCM) method to include the Phasor Measurement Unit in Robust Dynamic State Estimation. The proposed method has been tested on standard data 30-bus testing system as a case study.
Capacitor Voltage Balancing of Five Level Diode Clamped Converter based STATCOM D. Sindhuja; V. Yuvaraju M.E.
Indonesian Journal of Electrical Engineering and Computer Science Vol 2, No 2: May 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v2.i2.pp259-267

Abstract

The power quality determines the fitness of the electrical power to the consumer devices. To improve the quality of the power delivered many compensating devices are used. The FACTS devices are normally used to reduce the power quality problems by inducing one or more AC transmission parameters. The static synchronous compensator (STATCOM) can act as either a source or sink of reactive AC power to an electricity network. The basic electronic block of the STATCOM is the voltage-source inverter that converts an input dc voltage into a three-phase output voltage. The STATCOM employs an inverter in order to obtain the voltage source of adjustable magnitude and phase from the DC link voltage on the capacitor. In this model, the STATCOM is designed with the five level diode clamped converter (DCC) controlled by space vector pulse width modulation (SVPWM) technique. The space vector technique with α, β frame is referred here. The dc link capacitor voltage equalization for the five level diode clamped converter was explained. The Total Harmonic Distortion of the source current will be considerably reduced.
Simulation Modeling for Electrical Switching System of Hydropower Station Ran HU; Xianshan LI
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

This paper proposes a simulation modeling method for the electrical switching system of hydropower station, which is a sub-topic for Hydropower Station Simulation Training System. The graphics model of commonly used electrical switch equipment is developed with a certain software. As vast and different types of Hydropower station circuit breakers and associated grounding switches, and each specific action of the switch process is not same, so the modular modeling method is described to solve the problem. According to the role and status in power plant, electrical switch system is divided into several sub modules, among which a number of small modules are sorted in. In each sub module, a common model is developed. Besides, the application method that the network topology analysis algorithm used in electrical switching system simulation logic judgment is introduced. With the ‘connecting line fusion’ technique, logic function expression member information table is automatically generated, thereby enhancing the suitability for the electrical switch simulation model. The methods mentioned above assure the real-time, typicality and flexibility in simulation, and have been successfully used in the development of a large hydropower station simulator. DOI: http://dx.doi.org/10.11591/telkomnika.v11i8.3135
Review on the Studies and Advances of Machine Learning Approaches Yongqing Wang; Qingxiu Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Artificial intelligence is a frontier field of computer science, and achieved considerable progress in the past few decades. Being an important research branch of artificial intelligence, machine learning has been successfully applied to many fields in recent years, such as expert system, automatic reasoning, natural language processing, pattern recognition, computer vision, intelligent robots, and so on. This article comprehensively introduces the main strategies of machine learning, and summarizes the existing problems and challenges. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3635

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