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International Journal of Electrical and Computer Engineering

IJECE
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Published by Institute of Advanced Engineering and Science

ISSN : 20888708 EISSN : 27222578 DOI : -

Core Subject : Science, Engineering,

Computer Science & IT Electrical & Electronics Engineering

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.

Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)

Articles 6,301 Documents

109 110 111 112 113

Convolutional Neural Network and Feature Transformation for Distant Speech Recognition Hilman F. Pardede; Asri R. Yuliani; Rika Sustika
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 6: December 2018
Publisher : Institute of Advanced Engineering and Science

In many applications, speech recognition must operate in conditions where there are some distances between speakers and the microphones. This is called distant speech recognition (DSR). In this condition, speech recognition must deal with reverberation. Nowadays, deep learning technologies are becoming the the main technologies for speech recognition. Deep Neural Network (DNN) in hybrid with Hidden Markov Model (HMM) is the commonly used architecture. However, this system is still not robust against reverberation. Previous studies use Convolutional Neural Networks (CNN), which is a variation of neural network, to improve the robustness of speech recognition against noise. CNN has the properties of pooling which is used to find local correlation between neighboring dimensions in the features. With this property, CNN could be used as feature learning emphasizing the information on neighboring frames. In this study we use CNN to deal with reverberation. We also propose to use feature transformation techniques: linear discriminat analysis (LDA) and maximum likelihood linear transformation (MLLT), on mel frequency cepstral coefficient (MFCC) before feeding them to CNN. We argue that transforming features could produce more discriminative features for CNN, and hence improve the robustness of speech recognition against reverberation. Our evaluations on Meeting Recorder Digits (MRD) subset of Aurora-5 database confirm that the use of LDA and MLLT transformations improve the robustness of speech recognition. It is better by 20% relative error reduction on compared to a standard DNN based speech recognition using the same number of hidden layers.

Integration of Frequency Dependent Soil Electrical Properties in Grounding Electrode Circuit Model Mehrdad Mokhtari; Zulkurnain Abdul-Malek; Chin Leong Wooi
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 2: April 2016
Publisher : Institute of Advanced Engineering and Science

The effect of frequency dependent soil properties on the impedance and transient response of the grounding electrode was investigated. The frequency dependent soil models as proposed by Scott, Smith-Longmire, and Visacro-Alipio were critically reviewed. A novel method was proposed to integrate the frequency dependent soil electrical properties in the circuit model of grounding electrode. To validate the application of the method in circuit model, the voltage responses of the grounding electrode obtained by the circuit and electromagnetic models were compared. The voltage responses obtained by the circuit and electromagnetic models were in excellent agreement in terms of voltage peaks and wave shapes. The differences between voltage peaks obtained by the circuit and electromagnetic models were found less than 1%.

Bangladesh Perspective: Vehicle Speed Proposition System using Localized Wireless Identification Md. Mamunoor Islam; Mehdi Hasan Chowdhury
International Journal of Electrical and Computer Engineering (IJECE) Vol 6, No 5: October 2016
Publisher : Institute of Advanced Engineering and Science

Even in the era of advanced engineering, road accident has been a regular phenomenon causing death of many people in Bangladesh due to over speeding action of reckless drivers. There are several key places (such as schools, colleges, hospitals, highways and constructional areas etc.) where the speed of the vehicle should be lessened to avoid accidents. The roads and highways authority may place the speed limiter signboards in these areas to avoid these accidents, but these are frequently overlooked by the drivers. So this paper demonstrates a wireless forewarning system which will aid to control the speed of the vehicles at speed restricted areas. The whole system is established on the basis of radio frequency (RF) communication. There are two parts of this system named as transmitting unit and receiving unit. Each RF transmitter positioned on the roadside will be transmitting the code signal continuously. Whenever the vehicle enters the range of transmission, the RF receiver which is attached in the vehicle, will receive the signal and will display the information in a LCD monitor by notifying the driver to reduce the speed while going through that area.

Implementation of Gabor Filters Combined with Binary Features for Gender Recognition Milad JafariBarani; Karim Faez; Fooad Jalili
International Journal of Electrical and Computer Engineering (IJECE) Vol 4, No 1: February 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (770.003 KB)

The human face is an important biometric Includes a great deal of useful information, such as gender, age, race and identity.Gender classification is very convenient for humans,but for a computer this is a challenge. Recently, gender classification from face images is of great interest.Gender detection can be useful for human-computer interaction, Such as the designation of individuals.Several algorithms have been designed for this purpose and the proportion of each of these issues has been resolved, our proposed method is based on Gabor filters and Local Binary Patterns (LBP), which extract facial features that these characteristics are robust against interference. In order to achieve an appropriate classification, we used self-organizing neural networks, in this neural network weights are extracted for each gender with little error.The results are compared with existing data sets that this comparison will prove the superiority of the proposed method.DOI:http://dx.doi.org/10.11591/ijece.v4i1.4348

Effects of downscaling channel dimensions on electrical characteristics of InAs-FinFET transistor Ahmed Mahmood; Waheb A. Jabbar; Yasir Hashim; Hadi Bin Manap
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 4: August 2019
Publisher : Institute of Advanced Engineering and Science

In this paper, we present the impact of downscaling of nano-channel dimensions of Indium Arsenide Fin Feld Effect Transistor (InAs- FinFET) on electrical characteristics of the transistor, in particular; (i) ION/IOFF ratio, (ii) Subthreshold Swing (SS), Threshold voltage (VT), and Drain-induced barrier lowering (DIBL). MuGFET simulation tool was utilized to simulate and compare the considered characteristics based on variable channel dimensions: length, width and oxide thickness. The results demonstrate that the best performance of InAs- FinFET was achieved with channel length = 25 nm, width= 5 nm, and oxide thickness between 1.5 to 2.5 nm according to the selected scaling factor (K = 0.125).

Phase Measurement Units based FACT’s Devices for the Improvement of Power Systems Networks Controllability Husham Idan Hussein; Ghassan Abdullah Salman; Mohammed Saadi Hasan
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 2: April 2018
Publisher : Institute of Advanced Engineering and Science

This paper describes the importance of FACTS devices; it presents the outcome of the study of its reflectance on the performance of power system networks. It seeks to increase and guarantee the fact and accuracy of response systems under disturbance conditions when the phase measurement units are introduced as Real-Time Measurement (RTM) stations. This paper also describes the importance of FACTS devices. The combination of FACTS devices and PMUs is presented to increase the controllability performance of power systems. This paper demonstrates how PMUs measure voltage, current and their angles. It provides, through a communication link, a Phase Angle Data Concentrator (PDC) to make an appropriate decision to correct the power system state using the FACTS device (TCSC). We utilized the Graph-Theoretic Algorithm to optimize the number and location of PMUs. The technique proposed was tested on the Iraqi National Super Grid’s 24bus network, Diyala City’s regional 10bus network and the 14bus IEEE standard test system. The MATLAB/PSAT package was utilized for the simulation of results. It is evident that our proposed algorithm and technique achieved the purpose of this paper as confirmed by the level of accuracy of the results obtained from most of the cases tested.

Design and Implementation of Low Power Multiplier Using Proposed Two Phase Clocked Adiabatic Static CMOS Logic Circuit Minal Keote; P. T. Karule
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 6: December 2018
Publisher : Institute of Advanced Engineering and Science

This paper presents a design and implementation of 2*2 array and 4*4 array multiplier using proposed Two Phase Clocked Adiabatic Static CMOS logic (2PASCL) circuit. The proposed 2PASCL circuit is based on adiabatic energy recovery principle which consumes less power. The proposed 2PASCL uses two sinusoidal power clocks which are 1800 phase shifted with each other. The measurement result of 2*2 array proposed 2PASCL multiplier gives 80.16 % and 97.67 %power reduction relative to reported 2PASCL and conventional CMOS logic and the measurement result of 4*4 array proposed 2PASCL multiplier demonstrate 32.88 % and 82.02 %power reduction compared to reported 2PASCL and conventional CMOS logic . Another advantage of the proposed circuit is that it gives less power though the number of transistor in proposed and reported 2PASCL circuit is same. From the result we conclude that proposed 2PASCL technology is advantageous to application in low power digital systems, pacemakers and sensors. The circuits are simulated at 180nm technology mode.

Offine/online Optimum Routing of a UAV using Auxiliary Points Abbas Fadavi; Ali Beheshti; Pedram Kermani
International Journal of Electrical and Computer Engineering (IJECE) Vol 7, No 1: February 2017
Publisher : Institute of Advanced Engineering and Science

This paper presents a method to determine the route of a three-dimensional UAV. Three criteria; the height, the length of flight path and the unauthorized areas are used as the constraints and combined in a fuzzy function as the evaluation function. The article aimed to discover a minimum cost route from source to destination considering the constrains. In this paper a new searching method is proposed, with use of auxiliary points. The auxiliary point method iteratively divides a straight line to two shorter lines with less cost of evaluation function. Implementation results show that the proposed method dramatically decreases the calculations; meanwhile the ight route is sub-optimum.

Application on character recognition system on road sign for visually impaired: case study approach and future Jaejoon Kim
International Journal of Electrical and Computer Engineering (IJECE) Vol 10, No 1: February 2020
Publisher : Institute of Advanced Engineering and Science

Many visually impaired people worldwide are unable to travel safely and autonomously because they are physically unable to perceive effective visual information during their daily lives. In this research, we study how to extract the character information of the road sign and transmit it to the visually impaired effectively, so they can understand easier. Experimental method is to apply the Maximally Stable External Region and Stroke Width Transform method in Phase I so that the visually impaired person can recognize the letters on the road signs. It is to convey text information to the disabled. The result of Phase I using samples of simple road signs was to extract the sign information after dividing the exact character area, but the accuracy was not good for the Hangul (Korean characters) information. The initial experimental results in the Phase II succeeded in transmitting the text information on Phase I to the visually impaired. In the future, it will be required to develop a wearable character recognition system that can be attached to the visually impaired. In order to perform this task, we need to develop and verify a miniaturized and wearable character recognition system. In this paper, we examined the method of recognizing road sign characters on the road and presented a possibility that may be applicable to our final development.

Smoothing Control of Wind Farm Output Fluctuations by Fuzzy Logic Controlled SMES Md. Rafiqul Islam Sheikh; Tamura Junji
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 | Full PDF (1504.055 KB)

Due to random variations of wind speed, the output power and terminal voltage of a fixed speed wind generator fluctuate continuously. These irregularities in power output are affecting both the power quality and reliability. It is reported that STATCOM/SMES (Superconducting Magnetic Energy Storage) system can significantly decrease voltage and output power fluctuations of grid connected fixed speed wind generator. But the main problem in wind generator output power smoothing is the choice of the reference output power, because it corresponds to energy storage capacity. The storage capacity of SMES that is sufficient for the smoothing control but as small as possible is very important, considering cost effectiveness. In this paper, a fuzzy logic controlled STATCOM/SMES system is proposed, in which both SMA (Simple Moving Average) and EMA (Exponential Moving Average) are used to generate output power reference. Real wind speed data are used in the simulation analyses, whichvalidate the effectiveness of the proposed control strategy. Simulation results clearly show that the proposed STATCOM/SMES system can smooth well the wind generator output power and also maintain the terminal voltage at rated level in both cases when SMA or EMA is used to generate output reference power. Finally, it is shown that reference output power generated by EMA provides better performance with reduced SMES storage capacity than that of output power generated by SMA.Keywords: Minimization of fluctuations, fixed speed wind generator, STATCOM/SMES, simple moving average (SMA) and exponential moving average (EMA), and wind farm (WF).DOI:http://dx.doi.org/10.11591/ijece.v1i2.181

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Home Page

OAI Link

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Contact Name Tole Sutikno

Contact Email ijece@iaesjournal.com

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Location Kota yogyakarta, Daerah istimewa yogyakarta INDONESIA

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Contact Name
Tole Sutikno

Contact Email
ijece@iaesjournal.com

Phone
-

Journal Mail Official
ijece@iaesjournal.com

Editorial Address
-

Location
Kota yogyakarta,

Daerah istimewa yogyakarta

INDONESIA