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Tole Sutikno
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International Journal of Electrical and Computer Engineering
ISSN : 20888708     EISSN : 27222578     DOI : -
International Journal of Electrical and Computer Engineering (IJECE, ISSN: 2088-8708, a SCOPUS indexed Journal, SNIP: 1.001; SJR: 0.296; CiteScore: 0.99; SJR & CiteScore Q2 on both of the Electrical & Electronics Engineering, and Computer Science) is the official publication of the Institute of Advanced Engineering and Science (IAES). The journal is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the global world.
Articles 6,301 Documents
Improved Timing Estimation Using Iterative Normalization Technique for OFDM Systems Suyoto Suyoto; Iskandar Iskandar; Sugihartono Sugihartono; Adit Kurniawan
International Journal of Electrical and Computer Engineering (IJECE) Vol 7, No 2: April 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1387.131 KB) | DOI: 10.11591/ijece.v7i2.pp905-911

Abstract

Conventional timing estimation schemes based on autocorrelation experience performance degradation in the multipath channel environment with high delay spread. To overcome this problem, we proposed an improvement of the timing estimation for the OFDM system based on statistical change of symmetrical correlator. The new method uses iterative normalization technique to the correlator output before the detection based on statistical change of symmetric correlator is applied. Thus, it increases the detection probability and achieves better performance than previously published methods in the multipath environment. Computer simulation shows that our method is very robust in the fading multipath channel
Social media for collaborative learning Nur Shamsiah Abdul Rahman; Lina Handayani; Mohd Shahizan Othman; Waleed Mugahed Al-Rahmi; Shahreen Kasim; Tole Sutikno
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 1: February 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (438.416 KB) | DOI: 10.11591/ijece.v10i1.pp1070-1078

Abstract

Research on the field of using social media has gained more importance in the recent days due to the rapid development of social media technologies. Looking at the behavioral intention and attitude of using social media for collaborative learning within Malaysian higher educational institutions and the influencing factors in this regard has received little attention by researchers. The study aims at examining the determinants that affect learners’ attitude and behavior intention regarding their use social media to achieve collaborative learning. Such examination is carried out by using the Theory Acceptance Model (TAM) and Unified Theory of Acceptance and Usage of Technology (UTAUT). A total of 243 participants were recruited for this study. The findings indicated that students’ attitudes and behavior are strong indicators of their intentions in terms of using social media in collaborative learning.
Linguistic Application Using Transitivity-Appraisal Analysis Alexander Setiawan; Djoni Haryadi Setiabudi; Yanuar Simon
International Journal of Electrical and Computer Engineering (IJECE) Vol 1, No 2: December 2011
Publisher : Institute of Advanced Engineering and Science

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

Abstract

AbstractIn conducting research and linguistic analysis, researchers often find a variety of obstacles because of their limitations as human beings. A large number of articles data that must be processed and calculated increase the risk of error in the analysis, either in error in classification or error in the calculation. That’s why an application is made to assist researchers in conducting their research. This research was provided a specific framework to support the needs analysis process. This program is specifically designed to support the entire process of analysis required by using the method of analysis transivity analysis and assessment, which include searching and data processing articles, clauses classification process, and analytical assessment of this clause. The results of this study are to perform data storage process of said search results of an article, save the data analysis process from an article, the classification of phrase in the sentence in the article, and can minimize risk of calculation errors that occur in analysis. Test carried out using aplha reliability coeficient 0,75 (75%). Keywords: Analyze, Linguistic, Application.DOI:http://dx.doi.org/10.11591/ijece.v1i2.11
Experimental Studies on the Effect of Antenna Orientations to the Performance of OFDM-based System J. Muslimin; A. L. Asnawi; A. F. Ismail; A. Z. Jusoh; N. A. Malek; H. A. M. Ramli
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 4: August 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (832.161 KB) | DOI: 10.11591/ijece.v8i4.pp2588-2594

Abstract

Software-defined radio (SDR) is an emerging and promising high re-configurable platform for rapid prototyping inreal environment applications. It offers both flexibility and low cost to facilitate the development process of agile communication system, such as Orthogonal Frequency Division Multiplexing (OFDM). Other than modulation and transmission technique like OFDM, antenna orientations play a significant importance in wireless communication. The availabililty of SDR platform like USRP has enabled the empirical evaluation of antenna orientation to the system performance. The performance has been evaluated in terms of throughput and packet error rate. The findings show the antenna orientation affect the system performance significantly.
A CMOS-based Analog Function Generator: HSPICE Modeling and Simulation Madina Hamiane
International Journal of Electrical and Computer Engineering (IJECE) Vol 4, No 4: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (243.914 KB)

Abstract

In many Engineering applications, analog circuits present many advantagesover their digital counterparts and have recently been particularly used in awide range of signal processor circuits. In this paper, an analog non-linearfunction synthesizer is presented based on a polynomial expansion model.The proposed function synthesizer model is based on a 10th orderpolynomial approximation of any of the required non-linear functions. Thepolynomial approximations of these functions can then be implemented usingbasic CMOS circuit blocks. The proposed circuit model can simultaneouslysynthesize and generate many different mathematical functions. The circuitmodel is designed and simulated with HSPICE and its performance isdemonstrated through the simulation of a number of non-linear functions.DOI:http://dx.doi.org/10.11591/ijece.v4i4.5981
Application of the Least Square Support Vector Machine for point-to-point forecasting of the PV Power Mahdi Farhadi; Nader Mollayi
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 4: August 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (584.472 KB) | DOI: 10.11591/ijece.v9i4.pp2205-2211

Abstract

In today's industrial world, the growing capacity of renewable energy sources is a crucial factor for sustainable power generation. The application of solar photovoltaic (PV) energy sources, as a clean and safe renewable energy resource has found great attention among the consumers in the recent decades. Accurate forecasting of the generated PV power is an important task for scheduling the generators and planning the consumption patterns of customers to save electricity costs. To this end, it is necessary to develop a global model of the generated power based on the effective factors which are mainly the solar radiation intensity and the ambient weather temperature. As a result of the wide numerical range of these parameters and various weather conditions, a large training database must be used for developing the models, which results in high-computational complexity of the algorithms used for training the models. In this paper, a novel algorithm for point to point prediction of the generated power based on the least squares support vector machine (LS-SVM) has been proposed which can handle the large training database with a very fewer deal of computation and benefits from reasonable accuracy and generalization capability. 
A Novel of Repulsive Function on Artificial Potential Field for Robot Path Planning H. H. Triharminto; O. Wahyunggoro; T. B. Adji; A. I. Cahyadi; I. Ardiyanto
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 6: December 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (822.464 KB) | DOI: 10.11591/ijece.v6i6.pp3262-3275

Abstract

In this paper, the issue of local minima associated with GNRON (Goal Nonreachable with Obstacles Nearby) has been solved on the Artificial Potential Field (APF) for robot path planning. A novel of repulsive potential function is proposed to solve the problem. The consideration of surrounding repulsive forces gives a trigger to escape from the local mi- nima. Addition of signum function on the repulsive force which considers relative distance between the robot and the goal ensures that the goal position is the global optima of the total potential. Simulation conducted to prove that the proposed algorithm can solve GNRON and local minima problem on APF. Scenario of each simulation set in different type of obs- tacle and goal condition. The results show that the proposed method is able to handle local minima and GNRON problem.
Performance Evaluation of Adaptive Continuous Wavelet Transform based Rake Receiver for UWB Systems Ch. Navitha; K. Sivani; K. Ashoka Reddy
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 5: October 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (131.305 KB) | DOI: 10.11591/ijece.v8i5.pp3444-3452

Abstract

This paper proposes an adaptive continuous wavelet transform (ACWT) based Rake receiver to mitigate interference for high speed ultra wideband (UWB) transmission. The major parts of the receiver are least mean square (LMS) adaptive equalizer and N-selective maximum ratio combiner (MRC). The main advantage of using continuous wavelet rake receiver is that it utilizes the maximum bandwidth (7.5GHz) of the UWB transmitted signal, as announced by the Federal Communication Commission (FCC). In the proposed ACWT Rake receiver, the weights and the finger positions are updated depending upon the convergence error over a period in which training data is transmitted. Line of sight (LOS) channel model (CM1 from 0 to 4 meters) and the Non line of sight (NLOS) channel models (CM, CM3 and CM4) are the indoor channel models selected for investigating in this research . The performance of the proposed adaptive system   is evaluated by comparing with conventional rake and continuous wavelet transform (CWT) based rake. It showed an improved performance in all the different UWB channels (CM1 to CM4) for rake fingers of 2, 4 and 8. Simulations showed that for 8 rake fingers, the proposed adaptive CWT rake receiver has shown an SNR improvement of 2dB, 3dB, 10dB and 2dB respectively over CWT rake receiver in different UWB channels CM1, CM2, CM3 and CM4.
Retinex theory for color image enhancement: A systematic review Ruaa Riyadh Hussein; Yaser Issam Hamodi; Rooa Adnan Sabri
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 6: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (666.855 KB) | DOI: 10.11591/ijece.v9i6.pp5560-5569

Abstract

A short but comprehensive review of Retinex has been presented in this paper. Retinex theory aims to explain human color perception. In addition, its derivation on modifying the reflectance components has introduced effective approaches for images contrast enhancement. In this review, the classical theory of Retinex has been covered. Moreover, advance and improved techniques of Retinex, proposed in the literature, have been addressed. Strength and weakness aspects of each technique are discussed and compared. An optimum parameter is needed to be determined to define the image degradation level. Such parameter determination would help in quantifying the amount of adjustment in the Retinex theory. Thus, a robust framework to modify the reflectance component of the Retinex theory can be developed to enhance the overall quality of color images.
A new design of a microstrip rectenna at 5.8 GHz for wireless power transmission applications Taybi Abdellah; Abdelali Tajmouati; Jamal Zbitou; Ahmed Errkik; Mohamed Latrach
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 2: April 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (868.091 KB) | DOI: 10.11591/ijece.v9i2.pp1258-1266

Abstract

Due to the ever-increasing power demand, the need of electricity and eco-friendly power in every nook and corner of the world, many reaserch topics have been devoted to deal with this problematic. This paper is taking part of the proposed solutions with the presentation of a novel 5.8 GHz rectenna system for wireless power transmission applications. In one hand, a miniaturized 5.8 GHz circular polarized patch antenna has been designed and simulated by using the Advanced Design System (ADS). In the other hand, a rectifier structure has been investigated and optimized by the use of the Harmonic Balance method available in ADS. The circuit is based on 5 HSMS2820 Schottky diodes implemented in a voltage multiplier topology and a load resistance of 1 KOhm. Both of the structures have been validated by simulation and experimental results and good agreement has been concluded.

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