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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
 282   283   284   285   286 
Recognize printed Arabic letter using new geometrical features Haidar Mohamad; Seham Hashim; Anwar Al-Saleh
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i3.pp1518-1524

Abstract

The task of recognizing the shape of Arabic letters using modified algorithms discussed in this paper. The difficulty of recognizing these letters is summarized in the shape of the Arabic letter within a word from a large set of letters has a similar shape. Moreover, the shape of the letter is different depending on its position begin, middle, end within a word. Therefore, it is necessary to introduce new geometric features to categorize each letter. The suggested algorithm with 19 features is used in this paper. These features, like define points for each letter, divide a letter to blocks, edge detection and other features are shown in the suggested algorithm. The introduced geometric features give a high accuracy to recognize printed Arabic letter within a word or text. Minimum distance criteria used to estimate the error of the recognition process between the database and the tested Arabic letter. This method is good to explain the behaviour of the designed algorithm code to distinguish the geometric properties and the accuracy reaches 99.8% for the proposed method. The letter size changes geometry details when the font size is changed. The studied font is Times New Roman with size 30, 36, and 39. 
A Novel Architecture of Radix-3 Singlepath Delay Feedback (R3SDF) FFT Using MCSLA Periyarselvam K; Saravanakumar G; Anand M
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.pp37-42

Abstract

Fast Fourier transform (FFT) is widely used in digital signal processing and telecommunications, particularly in orthogonal frequency division multiplexing systems, to overcome the problems associated with orthogonal subcarriers. A new algorithm of radix-3 FFT has been introduced in this work. The DFT of length N can be realized from three DFT sequences; each of length N/3.Radix-3 algorithm reduces the number of multiplications required for realizing DFT.A novel design of Radix-3pipelined Single path Delay Feedback (R3SDF) FFT using MCSLA has been proposed in this paper. First, the pipelined radix-3 SDF FFT method has been designed. It has less area and large power consumption and delay. In order to overcome these problems, modified carry select adder structure is used to perform the adder operation for reducing the power consumption and delay. Finally, the MCSLA is integrated into radix-3 SDF FFT processor. The hardware complexity and execution time for implementing radix-3 FFT algorithm can be reduced than other FFTs.
Analysis of power system parameters for islanding detection using wavelet transform Safdar Raza; Hanya Amjad; Muhammad Umer; Aqeel Khalid
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 3: March 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i3.pp1184-1193

Abstract

This paper classifies the basic power system parameters based on sensitivity and performance capability. This is the basic step in selecting the suitable parameter for intelligent islanding detection technique. The behaviour of basic power system parameters is analyzed using wavelet transform under all possible islanding and non-islanding conditions. In wavelet transform, the mother wavelet plays a significant role in the extraction of parameter features. The db4 mother wavelet is selected after an extensive analysis on different mother wavelets. As a result, it has been found that the extracted feature of reactive power shows the highest capability to distinguish islanding from non-islanding events.
Based on Anti-windup PI of brushless Dc motor control system design Miao JingLi; Huang XiaoGuang; Yuan Xiangmeng
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

In this paper, on the simulation model of brushless DC motor, for brushless DC motor speed controller adopts Anti-windup PI saturated controller. According to the output of the controller is saturated, integral output feedback to the input, by the integral state control. It is that integral controller using the conditions with the computing strategy of control algorithm, so ensure the controller when a saturated. As soon as possible from the saturated zone, reached the overshoot volume is reduced. The simulationexperimental results show that the control method can effectively inhibit integral saturation and implement system response speed. It is good that the system has good robustness and steady-state performance. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3934
A New Image Encryption Algorithm Based on Two-dimensional Coupled Chaotic Map Li Tu; Liyuan Jia; Chi Zhang; Saiqiu Guo
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 12: December 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i12.pp8229-8237

Abstract

In this paper, a kind of two-dimensional coupled chaotic transcendental map (TCCTM) was proposed. Firstly, by using the TCCTM chaotic sequences were generated,then the chaotic sequences were modified to generate chaotic key stream that is more suitable for image encryption. In the process of encryption， an original color image was decomposed into three images of red, green and blue components, and encrypted them in a different way respectively.  The experimental results demonstrate that the extremely sensitive to the key, the encrypted image has random-like distribution behavior of grey values, the adjacent pixels have zero co-correlation properties. Furthermore, the algorithm shows the advantages of large key space and high speed of encryption.
A Novel Method Based on Teaching-Learning-Based Optimization for Recloser Placement with Load Model Consideration in Distribution System Sina Khajeh Ahmad Attari; Mohammad Bakhshipour; Mahmoudreza Shakarami; Farhad Namdari
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.pp1-10

Abstract

This paper proposed a novel technique based on teaching-learning-based optimization (TLBO) algorithm in order to find optimal placement of reclosers in the distribution networks which is applied to improve reliability. Reclosers use to eliminate transient faults, faults isolation, network management and enhance reliability to reduce customer outages. According to recloser role in network reliability, the cost for the installation and maintenance must be sustained by distribution companies. Therefore, selecting sufficient number and suitable location for reclosers are important issue. In this paper, the proposed objective function for optimal recloser number and placement has been formulated to improve three reliability indices which consists of three terms; i.e. System Average Interruption Frequency Index (SAIFI), System Average Interruption Duration Index (SAIDI) and Average Energy Not Supplied (AENS). Besides the load model effectiveness has been considered to the simulation. To verify the efficiency of proposed method, it has been conducted to IEEE 69-bus radial distribution system. The obtained simulation results demonstrate the reliability improvement.
A Method of Discovering Tolerance Markov Blanket Based on Completely Dependent Unknown Components Hongzhou He; Mingtian Zhou
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 8: August 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

A novel tolerance feature subset selection method from incomplete data set, denoted by MaxG-IIAMB, is proposed to pick out the Markov-boundary (MB), the minimal subset of features, of target variable but without making any assumption about the unknown component distribution. The classification experimental results of risk factors observed in a sample of 1841 employees of a Czech car factory demonstrate the practicability and superiority of our method over the classical expectation-maximization (EM) and available case technique (ACA). DOI: http://dx.doi.org/10.11591/telkomnika.v11i8.3079
An Electromagnetism-like Mechanism Algorithm Approach for Photovoltaic System Optimization Jian Ding Tan; Siaw Paw Koh; Sieh Kiong Tiong; Kharudin Ali; Ying Ying Koay
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.pp333-340

Abstract

Solar energy has become one of the most studied topic in the field of renewable energy. In this paper, an artificial intelligent approach is proposed for the optimization of a photovoltaic solar energy harvesting system. An Electromagnetism-Like Mechanism Algorithm (EM) has been developed to search for the hourly optimum tilt angles for photovoltaic panels. In order to investigate the effect of the search step size on the efficiency and overall accuracy of the algorithm, the EM has also been modified into several variants with different search step size settings. Experimental findings show that EM with bigger search lengths has the advantage of reaching a near optimum tilt angle in earlier iterations but less accurate. EM with smaller step lengths, on the other hand, can hit a relatively more optimum tilt angle in the process. During the peak of the power generation at noon, EM with smaller search stes found an optimum tilt angle which yielded additional 3.17W of power compared to a fixed panel. We thus conclude that the proposed EM performs well in optimizing the tilt angle of a photovoltaic solar energy harvesting system.
Optical Humidity Sensor Based on Tapered Fiber with Multi-walled Carbon Nanotubes Slurry Habibah Mohamed; Ninik Irawati; Fauzan Ahmad; Mohd Haniff Ibrahim; Sumiaty Ambran; Mohd Azizi Abdul Rahman; Sulaiman Wadi Harun
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.pp97-103

Abstract

We demonstrated performance comparison of optical humidity sensor for bare and Multi-walled carbon nanotubes (MWCNTs) slurry coated tapered optical fiber. The starting material for MWCNTs slurry is MWCNTs- acrylonitrile butadiene styrene (ABS) based fused deposition modeling (FDM) 3D printer filament. The ABS was dissolved using acetone to produce MWCNTs-acetone suspension. The MWCNTs-acetone suspension was drop-casted on the tapered fiber to produce MWCNTs slurry by evaporation process at room temperature, which resulted the MWCNTs slurry attach to the tapered fiber. The MWCNTs slurry acts as the cladding for humidity changes measurement. The experimental works showed improvement of sensitivity from 3.811 μW/% of bare tapered fiber to 5.17 μW/% for the coated tapered fiber with MWCNTs slurry when the humidity varied from 45% to 80%.
An efficient Mppt approach of PV systems: incremental conduction pathway Murari Lal Azad; Pradip Kumar Sadhu; P Arvind; Anagh Gupta; Tuhin Bandyopadhyay; Soumya Das; Sabyasachi Samanta
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.pp1189-1196

Abstract

Distributed Generation source have wide application due to their phenomenal advantages. These sources include Photovoltaic (PV) cells producing DC voltage at their output that connects the network through a power electronic interface. PV characteristics, on the other hand, illustrate the fact that maximum power can be extracted at the optimal operating point depending upon the solar radiation and ambient temperature. In order to keep   the PV module at its optimal operating point, a DC-DC converter is often used between a PV module and inverter. Consequently, Maximum power point trackers (MPPT) grab the foremost position in the efficiency analysis of the global PV system. Among the several MPPT algorithms, Incremental Conduction technique isemphasised upon as it is extremely simple in implementation within electronic programmable circuits. This paper incorporates the MPPT model using a PV module that always works in its optimal operating point. Design and experimental results of a small prototype of MPPT is presented here based on the Simulink model to verify the advantages of proposed integrated system.

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