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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
ISSN : 25024752     EISSN : 25024760     DOI : -
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Articles 9,174 Documents
SVPWM for 3-phase 3-level Neutral Point Clamped Inverter Fed Induction Motor Control Palanisamy R; K. Vijayakumar
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 3: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i3.pp703-710

Abstract

This paper gives Space Vector Pulse Width Modulation (SVPWM) for 3-phase 3-level Neutral Point Clamped (NPC) inverter fed induction motor control. A conventional two level inverter with 3-phase system has been developed for induction motor control. When it is applied for high voltage and power applications, which increases the voltage stress across the switch and harmonic content in the output. So multilevel inverter is much suitable for induction motor control, which provides nearly sinusoidal output voltage and diminished harmonic content in the output. Also the stator current of induction motor is minimsed, speed and torque of induction motor controlled with appropriate switching NPC inverter using SVPWM method. The proposed system simulation are verified using matlab simulink. 
Intentional Islanding Methods as Post Fault Remedial Action: A Review N.Z. Saharuddin; Zainal Abidin; H. Mokhlis; K. Naidu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: October 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i1.pp182-192

Abstract

Intentional islanding is the last defense mechanism executed to avoid cascading failures and total blackout in power system network during severe or critical contingency. It is performed when other mitigation techniques are unable to save the network from collapse. Intentional islanding is preferred compared to unintentional islanding, which produces unstable islands. The objective of intentional islanding is to split the network by disconnecting appropriate transmission lines to produce electrically stable and balanced islands. There are many methods suggested by previous researchers on intentional islanding. This paper presents a comprehensive review on various intentional islanding methods proposed based on the common objective function used which are minimal power imbalance and minimal power flow disruption. The paper focuses on five intentional islanding methods which are analytical, numerical, heuristic, meta-heuristic and hybrid approaches. This review paper will serve as guideline and reference for researchers to explore further in this topic of interest.
Terminal sliding mode control on autonomous underwater vehicle in diving motion control Nira Mawangi Sarif; Rafidah Ngadengon; Herdawatie Abdul Kadir; Mohd Hafiz A. Jalil
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 2: November 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i2.pp798-804

Abstract

In this study, mechanism for reducing chattering in discrete conventional sliding mode controller (DSMC) for autonomous underwater vehicle (AUV) was designed in discrete time domain. The combination of reaching law approach and discrete terminal sliding mode control (DTSMC) scheme was employed to alleviate chattering effect caused by quasi sliding mode (QSM). First, 6 DOF NPS AUV II equation of motion is linearized to diving mode subsystem. Second, linear sliding surface in discrete time domain is designed and reaching law based (RLB) is employed to the control law. Thirdly, discrete nonlinear sliding surface, specifically DTSMC is designed to reduce chattering phenomena and improved precision control simultaneously. Finally, comparative experimental results are presented to illustrate the effectiveness and advantages of the nonlinear sliding surface.
Variational Iteration Method for Solving Riccati Matrix Differential Equations Khalid Hammood Al-jiz; Noor Atinah Ahmad; Fadhel Subhi Fadhel
Indonesian Journal of Electrical Engineering and Computer Science Vol 5, No 3: March 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v5.i3.pp673-683

Abstract

Riccati matrix differential equation has long been known to be so difficult to solve analytically and/or numerically. In this connection, most of the recent studies are concerned with the derivation of the necessary conditions that ensure the existence of the solution. Therefore, in this paper, He’s Variational iteration method is used to derive the general form of the iterative approximate sequence of solutions and then proved the convergence of the obtained sequence of approximate solutions to the exact solution. This proof is based on using the mathematical induction to derive a general formula for the upper bound proved to be converge to zero under certain conditions. 
Internet of Things Based Weather Forecast Monitoring System Atul Kulkarni; Debajyoti Mukhopadhyay
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 3: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i3.pp555-557

Abstract

Weather forecasting is a significant function in meteorology and has been one of the most systematically challenging troubles around the world.This scheme deals with the structure of a weather display method using small cost components so that any electronics hobbyist can construct it. As a replacement for using sensors to collect the weather data, the development gets the information from weather stations placed around the world through a global weather data supplier. Severe weather phenomena challengedifficult weather forecast approach with the partial explanation. Weather events have numerous parameters that are not possible to detail and compute. Growing on communication methods enables weather predictsspecialist systems to combine and share possessions and thus hybrid systems have emerged. Still, though these improvements on climate predict, these expert systems can’t be entirely reliable while weather forecast is central problem.
Edge enhancement of IBP reconstruction by using sharp infinite symmetrical exponential filter A.R. A Nazren; Ngadiran R.; S. N. Yaakob
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 1: April 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i1.pp258-266

Abstract

This study contributes to provide an enhancement technique for improving the Iterative Back Projection (IBP) Super Resolution technique by using the Sharp Infinite Symmetrical Filter (SISEF). Theoretically, the IBP technique operates as minimizer the error reconstruction iteratively until it refined the High Resolution (HR) image. However, due to iterative manner and lack of edge guidance during the back projection operation, this technique has suffered from produced the ringing artefact on the HR image appearances. Additionally, the IBP reconstruction also demands for large number iteration for accomplishing the prediction HR image. This problem arose when the IBP estimator tended to oscillate at the same solution frequently. In order to overcome these constraints, the SISEF is deployed as regulator to improve the IBP estimator with provides an accurate edge information for enhancing the edge image and reduce the ringing artefacts. Fortunately, highly precision of edge information provided by SISEF capable to reduce amount of estimation process repetition.
Low Power FGSRAM Cell Using Sleepy and LECTOR Technique Kanan Bala Ray; Sushanta Kumar Mandal; Shivalal Patro
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 2: November 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v4.i2.pp333-340

Abstract

In this paper floating gate MOS (FGMOS) along with sleep transistor technique and leakage control transistor (LECTOR) technique has been used to design low power SRAM cell. Detailed investigation on operation, analysis and result comparison of conventional 6T, FGSRAM, FGSLEEPY, FGLECTOR and FGSLEEPY LECTOR has been done. All the simulations are done in Cadence Virtuoso environment on 45 nm standard CMOS technology with 1 V power supply voltage. Simulation results show that FGSLEEPY LECTOR SRAM cell consumes very low power and achieves high stability compared to conventional FGSRAM Cell
Pole tilt monitoring system using MEMs accelerometer and BeagleBone Black Lok De Yong; Nurul Asyikin Mohamed Radzi; Yanti Erana Jalil
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: August 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i2.pp658-664

Abstract

Electric pole could tilt in the event of heavy storms, soil erosion and object crashing onto poles, causing serious damages if they are not fixed before condition worsen. Therefore, to monitor the health of the electric pole, a system to monitor its tilting angle is needed. In this paper, for the first time, to the best of our knowledge, an integration of Micro Electro-Mechanical Systems (MEMs) accelerometer with BeagleBone Black microcomputer will be used to develop an electric pole tile angle monitoring system. The accuracy of measuring tilt angle using single axis accelerometer versus triple axis accelerometer and the effect of rolling on tilt angle reading using single axis accelerometer versus triple axis accelerometer will be presented. Three-axis accelerometer achieves greater accuracy as the percentage error of tilting and rolling for the three-axis accelerometer are better than the single-axis accelerometer.
Pre-trained classification of scalp conditions using image processing Shafaf Ibrahim; Zarith Azuren Noor Azmy; Nur Nabilah Abu Mangshor; Nurbaity Sabri; Ahmad Firdaus Ahmad Fadzil; Zaaba Ahmad
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 1: October 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i1.pp138-144

Abstract

Scalp problems may occur due to the miscellaneous factor, which includes genetics, stress, abuse and hair products. The conventional technique for scalp and hair treatment involves high operational cost and complicated diagnosis. Besides, it is becoming progressively important for the payer to investigate the value of new treatment selection in the management of a specific scalp problem. As they are generally expensive and inconvenient, there is an increasing need for an affordable and convenient way of monitoring scalp conditions. Thus, this paper presents a study of pre-trained classification of scalp conditions using image processing techniques. Initially, the scalp image went through the pre-processing such as image enhancement and greyscale conversion. Next, three features of color, texture, and shape were extracted from each input image, and stored in a region of interest (ROI) table. The knowledge of the values of the pre-trained features is used as a reference in the classification process subsequently. A technique of support vector machine (SVM) is employed to classify the three types of scalp conditions which are alopecia areata (AA), dandruff and normal. A total of 120 images of the scalp conditions were tested. The classification of scalp conditions indicated a good performance of 85% accuracy. It is expected that the outcome of this study may automatically classify the scalp condition, and may assist the user on a selection of suitable treatment available.
Design and implementation of embedded concurrent laser missile jammer system using FPGA Chin Beng. Lim; Muataz H. Salih
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 2: May 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i2.pp780-787

Abstract

In real time system, every second takes into count as any extra delay could cause critical consequences. Nowadays, almost every system involving multiple data processing. To handle multiple data at the same time, spatial parallelism is required to enhance system performance and provide multitasking feature. Currently, frequency jamming system only can jam one signal at a time. When it comes to missile jamming, the delaying in processing the frequency could cause serious impact as there will be multiple missiles launched to hit a target. These missiles just need few seconds to hit the target within range. Laser missile jammer is designed, which can jam multiple missiles at a time from different directions. The potentials of Field Programmable Gate Array (FPGA) and spatial parallelism is used in this system, to enhance the performance of the system by increasing operating frequency, system throughput, decreasing system cost, power consumption of the system, and get lower complexity. Quartus II version 14.1 is used in this project as a development CAD tool, the entire system implemented on FPGA DE1-SoC board. Also, other components such as Laser Detector, Laser Transmitter, and monitoring screen is integrated with the board. A signal emulator module was designed, to generate signals for on-board self-testing purpose, this system can detect the frequency of laser missile and create an over-powered signal with similar frequency to jam the missile(s) through diffused plates. All the results are shown on control display. This system had achieved a better throughput and lower complexity in terms of less resource usage (3153 Logic Elements) and high operating frequency (up to 1.6 GHz).

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