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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
 347   348   349   350   351 
Hypersonic Vehicle Tracking Based on Improved Current Statistical Model He Guangjun; Lv Hang; Li Baoquan; Li Yanbin
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

A new method of tracking the near space hypersonic vehicle is put forward. According to hypersonic vehicles’ characteristics, we improved current statistical model through online identification of the maneuvering frequency. A Monte Carlo simulation is used to analyze the performance of the method. The results show that the improved method exhibits very good tracking performance in comparison with the old method. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.2786
Performance of geometrical effect in wavelength filtrate detection using 10gbps data rate for free space optical communication system M.F Talib; Anuar M.S; C.B.M. Rashidi
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.pp575-583

Abstract

In this paper, the analysis of comparison between proposed detection called as Wavelength Filtrate Detection with existing detection have been analyzed to determine the best system performance in term of power received and bit error rate (BER). The analysis focus on the geometrical effect of aperture receiver and beam divergence. The performance of Free Space Optics is validated through simulation analysis using parameter 10Gbps data rate and in 14dB/km atmospheric attenuation. This analysis shows that Wavelength Filtrate Detection increase the power received of 6dBm and improve the absolute value of error rate 10-9 in acceptable threshold required by (ITR-U) as much as 50% compare to others existing detection
Texture Classification Based on Empirical Wavelet Transform Using LBP Features Ramesh P.; V. Mathivanan
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 3: December 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i3.pp623-626

Abstract

Automatic inspection systems become more importance for industries with high productive plans especially in texture industry. A novel approach to Local Binary Pattern (LBP) feature for texture classification is proposed in this system. At the first, the proposed Empirical Wavelet Transform (EWT) based texture classification is tested on gray scale and color images by using Brodatz texture images. The gray scale and color image is decomposed by EWT at 2 and 3 level of decomposition. LBP features are calculated for each empirical transformed image. Extracted features are given as input to the classification stage. K-NN classifier is used for classification stage. The result of the proposed system gives satisfactory classification accuracy of over 98% for all types of images.
A framework for sentiment analysis in Arabic text Alaa Abdalqahar Jihad; Ahmed Subhi Abdalkafor
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 3: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i3.pp1482-1489

Abstract

Over the last decade there has been an increase in number of E-mails or comments to a company via social media sites, to satisfy their customers, the company must take in to consideration these messages and comments and know whether the customers are satisfied with what the company offers or not. Several techniques have been proposed to analyze the sentiment of the comment writer. Dealing with the Arabic language is faced with many challenges, such as it is a morphologically rich language and how to return the word to its original root. In this paper the challenges of dealing with the Arabic language were reviewed and a framework was also established to analyze the comments in Arabic and classify it into positive, negative or neutral sentiment. The framework was trained and tested and then the con-clusions were drawn based on its work.
Study on the Influence of Grid Voltage Quality Guiping Yi; Renjie Hu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp5918-5925

Abstract

Industrial Static Var Generator (SVG) is typically applied at or near the load center to mitigate voltage fluctuation, flicker, phase unbalance, non-sine distortion or other load-related disturbance. Special attention is paid to the influence of grid voltage quality on SVG current, the non-sine distortion and unbalance of grid voltage causes not only the AC current distortion and unbalance but also the DC voltage fluctuation. In order to let the inverter voltage contain the fundamental negative sequence and harmonic component corresponding to the grid voltage, a new dual-loop control scheme is proposed to suppress the influence in this paper. The harmonic and negative sequence voltage decomposition algorithm and DC voltage control are also introduced. All these analyses can guide the practical applications. The simulation results verify the feasibility and effectiveness of the present control strategy and analyses.
Efficient Train Driver Drowsiness Detection on Machine Vision Algorithms Zhui Lin; Lide Wang; Jieqiong Zhou; Liyuan Liu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 5: May 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

In order to give a warning to the drowsy driver, this paper proposes a new Fatigue Driving Detection Algorithm. AdaBoost algorithm is applied to fast detect and track human faces, and the algorithm is implemented in FPGA; differential template-based multi-algorithms are used to localize human eyes and recognize eye states; PERCLOS algorithm is adopted to analyze and determine whether a person is fatigue. Test is implemented based on DM368 add FPGA platform ,and confirms that the algorithm used in the paper can quickly and accurately locate the face and the human eye, and determine the status of the driver's fatigue. Experimental results show that the algorithm has high recognition accuracy and robust performance under real train driving environment, even in head rotation, eye movements and wearing glasses was the case. DOI: http://dx.doi.org/10.11591/telkomnika.v11i5.2488
The Analysis of Soft Error in C-Elements Norhuzaimin Julai; Ahmed M. A. Haidar; Abdul Rahman Kram
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v10.i3.pp1013-1022

Abstract

Soft errors are a serious concern in state holders as it can cause temporarily malfunction of the circuit. C-element is one of the state holders that is used widely in the asynchronous circuit. In this paper, the investigation will focus on the vulnerability of two types of C-element towards soft errors. A framework has been proposed for the rate of error due to neutron spectrum energy that can cause failure in the state holder. Effective analysis has been conducted on two different C-elements at different nodes by using UMC90 nm technology and 180nm technology. Based on the vulnerability data, a method for assessing vulnerability on a different implementation of C-elements has been developed. From the obtained data, it can be concluded that SIL is more resistant towards soft errors.
Adaptive System Identification using Markov Chain Monte Carlo Muhammad Ali Raza Anjum
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 1: January 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

One of the major problems in adaptive filtering is the problem of system identification. It has been studied extensively due to its immense practical importance in a variety of fields. The underlying goal is to identify the impulse response of an unknown system. This is accomplished by placing a known system in parallel and feeding both systems with the same input. Due to initial disparity in their impulse responses, an error is generated between their outputs. This error is set to tune the impulse response of known system in a way that every change in impulse response reduces the magnitude of prospective error. This process is repeated until the error becomes negligible and the responses of both systems match. To specifically minimize the error, numerous adaptive algorithms are available. They are noteworthy either for their low computational complexity or high convergence speed. Recently, a method, known as Markov Chain Monte Carlo (MCMC), has gained much attention due to its remarkably low computational complexity. But despite this colossal advantage, properties of MCMC method have not been investigated for adaptive system identification problem. This article bridges this gap by providing a complete treatment of MCMC method in the aforementioned context. DOI: http://dx.doi.org/10.11591/telkomnika.v13i1.6925 
Comparative Analysis of NOSQL Databases D. Pratiba; Deepak Deepak; Shwetha Shwetha
Indonesian Journal of Electrical Engineering and Computer Science Vol 3, No 3: September 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v3.i3.pp601-606

Abstract

The data being generated is increasing rapidly from day to day, most of it being unstructured data. There is a strong need to store, collect, process and analyze this data. NoSQL databases help us to efficiently deal with unstructured data. The paper deals with classifying the databases using CAP theorem. Further, the paper gives a comparative analysis of NoSQL databases with regard to the applications for which it can be used and how secured each of the databases are.
Javanese Gong Acoustics and Its Modeling using Finite Element Method Gunawan Dewantoro; Matias H.W. Budhiantho
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 1: April 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

The Gong is a distinctive percussion instrument because of its wave-like sounds after being struck immediately due to its traditional manufacture procedures. Spectra for the gongs vary substantially due to variation in shape and size, and to dimensional irregularities created during manufacture and whilst tuning by soft-hammering or hand-grinding. Finite Element Analysis is used to predict the effect of a range of variations of gong geometries on modal shapes and modal frequencies. The radiated sound spectra of the gong are also measured and compared with the natural frequencies obtained from Finite Element Analysis. Through the finite element model, the effect of geometric dimensions and material properties of the gong on its sound characteristics can be studied.  DOI: http://dx.doi.org/10.11591/telkomnika.v14i1.7402

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