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29,922 Article Results

Similarity Measurement for Speaker Identification Using Frequency of Vector Pairs

10.11591/ijeecs.v12.i8.pp6205-6210
Inggih Permana , Agus Buono , Bib Paruhum Silalahi
Similarity measurement is an important part of speaker identification. This study has modified the similarity measurement technique performed in previous studies. Previous studies used the sum of the smallest distance between the input vectors and the codebook vectors of a particular speaker. In this study, the technique has been modified by selecting a particular speaker codebook which has the highest frequency of vector pairs. Vector pair in this case is the smallest distance between the input vector and the vector in the codebook. This study used Mel Frequency Cepstral Coefficient (MFCC) as feature extraction, Self Organizing Map (SOM) as codebook maker and Euclidean as a measure of distance. The experimental results showed that the similarity measuring techniques proposed can improve the accuracy of speaker identification. In the MFCC coefficients 13, 15 and 20 the average accuracy of identification respectively increased as much as 0.61%, 0.98% and 1.27%.
Volume: 12
Issue: 8
Page: 6205-6210
Publish at: 2014-08-01

Ranking in Distributed Uncertain Database Environments

https://ijece.iaescore.com/index.php/IJECE/article/view/5552
Yousry Mohammad AbdulAzeem , Ali Ibraheem ElDesouky , Hesham Arafat Ali
Distributed data processing is a major field in nowadays applications. Many applications collect and process data from distributed nodes to gain overall results. Large amount of data transfer and network delay made data processing in a centralized manner a hard operation representing an important problem. A very common way to solve this problem is ranking queries. Ranking or top-k queries concentrate only on the highest ranked tuples according to user's interest. Another issue in most nowadays applications is data uncertainty. Many techniques were introduced for modeling, managing, and processing uncertain databases. Although these techniques were efficient, they didn't deal with distributed data uncertainty. This paper deals with both data uncertainty and distribution based on ranking queries. A novel framework is proposed for ranking distributed uncertain data. The framework has a suite of novel algorithms for ranking data and monitoring updates. These algorithms help in reducing the communication rounds used and amount of data transmitted while achieving efficient and effective ranking. Experimental results show that the proposed framework has a great impact in reducing communication cost compared to other techniques.DOI:http://dx.doi.org/10.11591/ijece.v4i4.5920
Volume: 4
Issue: 4
Page: 631-636
Publish at: 2014-08-01

Analysis to the Error and Accuracy of Differential Barometric Altimetry

10.11591/ijeecs.v12.i8.pp6274-6280
Lirong Zhang , Zhengqun Hu
The traditional barometric altimetry acquired the absolute height has poor precision mainly because of the climate and weather, gravity and temperature effect on atmospheric pressure. By introducing reference point correction into barometric altimetry can improve the accuracy of the height being measured and extend its application range since the error caused by slow variation of atmospheric pressure and temperature is eliminated. Users receive the meteorological data from barometric reference stations and calculate the local height through local measurement by high precision. To begin with, this paper describes the principle and mathematical model of differential barometric altimetry. And then analyze the main factors influence to the precision of differential barometric altimetry. Finally, accuracy and error of the method is to be analyzed in detail.
Volume: 12
Issue: 8
Page: 6274-6280
Publish at: 2014-08-01

Robust-Neural Observer Design for Discrete-Time Uncertain Non-Affine Nonlinear System

https://ijece.iaescore.com/index.php/IJECE/article/view/5546
Somayeh Rahimi , Saeed Mohammad-Hoseini
This paper proposed a new Nonlinear Discrete-Time Robust-Neural Observer (DTRNO) which capable to give estimation for the states of Discrete-Time Uncertain Non-affine Non-linear Systems in presence of external disturbances. The Neural network is a kind of discrete-time Multi Layered Perceptron (MLP) which Trained with an Extended Kalman-Filter (EKF) based algorithm, which this neural observer is robust in presence of external and internal uncertainties, using a parallel configuration.This work includes the stability proof of the estimation error on the basis of the Lyapunov approach, and for demonstrate observer performance an Uncertain Non-affine Nonlinear Systems have been simulated to formulations validate the theoretical. Simulation results confirm the proficiency of the DTRNO even at the different operating conditions and presence of parameters uncertainties.DOI:http://dx.doi.org/10.11591/ijece.v4i4.6171
Volume: 4
Issue: 4
Page: 603-613
Publish at: 2014-08-01

Misidentification of Type of Lightning Flashes in Malaysia

10.11591/ijeecs.v12.i8.pp5938-5945
Puteri Nur Suhaila Ab Rahman , Zikri Abadi Bharudin , Nur Hidayu Abdul Rahim
The Lightning Detection System (LDS) system monitored by Malaysian Meteorological Service (MMS) and Tenaga Nasional Berhad (TNB) are not reliable that may due to unresolved site errors .From informal observation, Baharudin and co-workers found the data recorded by TNB was not identical to their data. In this paper,we observed about Lightning Flashes in Malaysia nearly 21 data matching the time and date of our data with data from TNB Reports that the lightning flash polarity between both data has a negative polarity, but there are differences on multiplicity. Regarding data from TNB Reports , they also noted that there was presented a total of 10 positive cloud-to-ground flash data , but we did not find any  data positive cloud-to-ground flash data. However, the data we have found a total of 191 data were presented from cloud flash but TNB did not record any cloud flash.
Volume: 12
Issue: 8
Page: 5938-5945
Publish at: 2014-08-01

Effect of Coating of Earthed Enclosure and Multi-Contaminating Particles on Breakdown Voltage inside Gas Insulated Bus Duct

https://ijece.iaescore.com/index.php/IJECE/article/view/5509
Mousa Awad Allah Abd Allah , Sayed Abo El Souad Ward , Amr Ameen EZZ-El Din
Metallic particle contamination is one of the areas of insulation design that are considered critical. This paper demonstrates the control of metallic particles in gas insulated bus duct (GIBD) by using dielectric coating on the inside surface of the outer enclosure of a coaxial electrode system. Several models of GIBD with single and multi-contaminating particles will be studied. In this paper, the Finite Elements Method (FEM) is used to evaluate the electric field distribution on and around single and multi-contaminating wire particles which in contact with dielectric coating of earthed enclosure inside GIBD. The effect of changing the length and the radius of middle particle for multi-contaminating particles on the electric field values are studied. Breakdown Voltage calculations for gas mixtures with single and multi-contaminating wire particles are studied. The effects of gas pressure on the breakdown voltage for various fractional concentrations of SF6-gas mixtures with and without particle contamination and also with and without coating of earthed enclosure are studied. The optimum gas mixture which gives higher dielectric strength with lower cost is also determined. The effect of coating thickness of earthed enclosure on the breakdown voltage for various fractional concentrations of SF6-gas mixtures is also studied. Finally, the effect of length and hemi-spherical radius of multi-contaminating particles on the breakdown voltage with various SF6-gas mixtures and varying gas pressure one time and another time with fixed pressure are studied.DOI:http://dx.doi.org/10.11591/ijece.v4i4.5693
Volume: 4
Issue: 4
Page: 471-485
Publish at: 2014-08-01

Gender Classification Using Hybrid of Gabor Filters and Binary Features of an Image

https://ijece.iaescore.com/index.php/IJECE/article/view/5525
Mahboobeh Nazarloo , Ebrahim Parcham , Reza Akbar Pourani
Face is one of the most important biometric of human and contains lots of useful information such as gender, age, race and identity. Gender classification is very easy for human but it considers a challenge for computers. Gender classification through face images has recently been considered so much. Gender recognition can be useful in interaction between human and computer like identifying individual’s identity. It is also applicable in TV networks in order to study the rate of viewers. Various algorithms have been designed for this issue and each of them has unraveled that to some extent. The last obtained rate to identify gender was through article written by Dr. Mozaffari who obtained mean rate of 83% for identification. It is the proposed method of the present study which has brought identification rate to 92.5. in this method we draw out face features based on Gabor filters and local binary patterns. These features are resistant against noise and they select proper features against bottleneck of images. In order to obtain a proper classification, we use self-organized map (SOM) (type of artificial neural network). This neural network finds the proper weights for each gender with very little error. Obtained results are compared with existing datasets and therefore, superiority of the proposed method would be evident.DOI:http://dx.doi.org/10.11591/ijece.v4i4.5926
Volume: 4
Issue: 4
Page: 539-547
Publish at: 2014-08-01

Higuchi Fractal Dimension Analysis of EEG Signal Before and After OM Chanting to Observe Overall Effect on Brain

https://ijece.iaescore.com/index.php/IJECE/article/view/5541
Bhavna P Harne
The OM chanting is one type of the meditation. In the present paper, the author tried to observe its effect on the brain. To obtain insight of the brain, the author recorded EEG signal before and after OM chanting for 10 subjects. Author used a technique of the complexity measure based on fractal analysis to compare the EEG signal before and after OM chanting. Time domain fractal dimension was calculated using Higuchi algorithm. (HFD).Paper present the results based on average HFD all over the electrodes for each subject before and after OM chanting.DOI:http://dx.doi.org/10.11591/ijece.v4i4.5800
Volume: 4
Issue: 4
Page: 585-592
Publish at: 2014-08-01

Performance Analysis of a High Voltage DC (HVDC) Transmission System under Steady State and Faulted Conditions

10.11591/ijeecs.v12.i8.pp5854-5860
M. Zakir Hossain , Md. Kamal Hossain , Md. Alamgir Hossain , Md. Maidul Islam
The modern High Voltage Direct Current (HVDC) transmission technology depends on the development of power electronics based on the semiconductor devices. This paper represents a simple model of HVDC transmission system in which the converter and filter have been designed to increase stability of power transmission. The HVDC transmission system has been proposed on the basis of simulation studies using MATLAB software package (Simulink Model). Using this model, current - voltage (C-V) characteristics have been simulated for steady state condition. It has also been studied for different fault conditions.  With the proposed strategy the HVDC system can provide useful and economical way to transmit electric power over the long distance, thereby improving the bulk transmission of electric power and power system stability.
Volume: 12
Issue: 8
Page: 5854-5860
Publish at: 2014-08-01

Selection of Appropriate Semiconductor Switches for Induction Heated Pipe-Line using High Frequency Full Bridge Inverter

https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/5044
Pradip Kumar Sadhu , Debabrata Roy , Nitai Pal , Sourish Sanyal
An exhaustive method for the choice of different power semiconductor switches for high frequency full bridge inverter fed induction heater is presented. Heating coil of the induction heater is made of litz wire which minimises the skin effect and proximity effect at high operating frequency. With the calculated optimum values of inductance and resistance of heating coil at a particular operating frequency, high frequency full bridge inverter topology has been simulated using P-SIM software as well as constructing the experimental model of same rating. Obtained the voltage waveforms across heating coil and current waveforms through it, have been taken for further analysis. From this analysis selection of suitable power semiconductor switches like IGBT, GTO and MOSFET are made. Waveforms have been shown to justify the feasibility for real implementation of high frequency full bridge inverter fed induction heater in industrial applications.DOI: http://dx.doi.org/10.11591/ijpeds.v5i1.6108
Volume: 5
Issue: 1
Page: 112-118
Publish at: 2014-07-24

A Three Phase Multi Level Converter For grid Connected PV System

https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/5039
S. Srikanth
Photovoltaic energy is a wide kind of green energy. A high performance on these systems is needed to make the most of energy produced by solar cells. Also, there must be a constant adaptation due to the continuous variation of power production. Control techniques for Power Converters like the MPPT algorithm (Maximum Power Point Tracking) present very good results on photovoltaic chains. Nevertheless, losses on power elements reduce global performance and the voltage/current adaptation is not always possible.  This paper presents a single-phase 11-level (5 H-bridges) cascade multilevel DC-AC grid-tied inverter. Each inverter bridge is connected to a 200 W solar panel. OPAL-RT lab was used as the hardware in the loop (HIL) real-time control system platform where a Maximum Power Point Tracking (MPPT) algorithm was implemented based on the inverter output power to assure optimal operation of the inverter when connected to the power grid as well as a Phase Locked Loop (PLL) for phase and frequency match. A novel SPWM scheme is proposed in this paper to be used with the solar panels that can account for voltage profile fluctuations among the panels during the day. Simulation and experimental results are shown for voltage and current during synchronization mode and power transferring mode to validate the methodology for grid connection of renewable resources.DOI: http://dx.doi.org/10.11591/ijpeds.v5i1.6156
Volume: 5
Issue: 1
Page: 71-75
Publish at: 2014-07-15

A New Multilevel Inverter with Reduced Number of Switches

https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/5038
Gnana Prakash , Balamurugan M , Umashankar S
In recent day’s Multilevel inverter (MLI) technologies become a incredibly main choice in the area of high power medium voltage energy control. Though multilevel inverter has a number of advantages it has drawbacks in the vein of higher levels because of using more number of semiconductor switches. This may leads to vast size and price of the inverter is very high. So in order to overcome this problem the new multilevel inverter is proposed with reduced number of switches. The proposed method is well suited for a high power application and it built with three Dc sources and six Switches. Multi carrier pwm technique is used for sine wave generation. The results are validated through the harmonic spectrum of the FFT window by using Matlab/simulink. The result of the proposed MLI is compared with the conventional MLI and other seven level existing topologies.DOI: http://dx.doi.org/10.11591/ijpeds.v5i1.6089
Volume: 5
Issue: 1
Page: 63-70
Publish at: 2014-07-15

ZVZCS Based High Frequency Link Grid Connected SVM applied Three Phase Three Level Diode Clamped Inverter for Photovoltaic Applications Part-II

https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/5034
Soumyadeep Ray , Madichetty Sreedhar , Abhijit Dasgupta
This article proposes a newly proposed highly effective Zero Voltage and Zero Current switching based Front end converter with a High Frequency Transformer with a Three Phase Three Level Diode Clamped Inverter in photovoltaic applications. The switching scheme is implemented in MATLAB/ Simulink condition. ZVZCS condition is achieved. This type of converter shows high efficiency and very negligible switching loss. Finally ZVZCS based High Frequency Link Diode Clamped Inverter is connected to Grid. An MCI optimized Current controller is used with SVM switching technique.  In This article, responses with three types of controllers (I, PI, PID) have been examined and compared. Simulation results show the effectiveness, and validity of this technique.DOI: http://dx.doi.org/10.11591/ijpeds.v5i1.5411
Volume: 5
Issue: 1
Page: 24-31
Publish at: 2014-07-15

A Novel Topology Of Multilevel Inverter With Reduced Number Of Switches And DC Sources

https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/5037
Nakul Thombre , Priyanka Rana , Ratika Singh Rawat , Umashankar S
This paper introduces new topology of cascaded multilevel inverter, with considerable reduction in the number of switches and DC voltage sources. The proposed topology is based on asymmetrical multilevel inverter which produces 21 levels of output with the use of 11 unidirectional switches, 3 diodes and 4 DC voltage sources. The advantages of this topology are reduction in the number of switches (2 nos.) and gate driver circuits (2 nos.), reduction in the number of DC sources (2 nos.) also cost, complexity, and space required for hardware is reduced  without sacrificing the quality output of the inverter. To reduce the THD further Level shifting SPWM techniques such as PD, POD & APOD are used and comparison is shown on the basis of THDs obtained from the above SPWM techniques. Frequency of carrier waves is 1KHz, and modulation index is 1.0. To validate the proposed topology the circuit is simulated and verified by using MATLAB/Simulink.DOI: http://dx.doi.org/10.11591/ijpeds.v5i1.5810
Volume: 5
Issue: 1
Page: 56-62
Publish at: 2014-07-15

Concurrent Detection and Classification of Faults in Matrix Converter using Trans-Conductance

https://ijpeds.iaescore.com/index.php/IJPEDS/article/view/5042
Sarah Azimi , Mehdi Vejdaniamiri
This paper presents a fault diagnostic algorithm for detecting and locating open-circuit and short-circiut faults in switching components of matrix converters (MCs) which can be effectively used to drive a permanent magnet synchronous motor for research in critical applications. The proposed method is based on monitoring the voltages and currents of the switches. These measurements are used to evaluate the forward trans-conductance of each transistor for different values of switch voltages. These trans-conductance values are then compared to the nominal values. Under healthy conditions, the values obtained for the fault signal is less than the tolerable value. Under the open/short-circuit conditions, the fault signal exceeds the threshold, hence enables the matrix converter drive to detect and exactly identify the location of the faulty IGBT. The main advantages of this diagnostic method include fast detection and locating of the faulty IGBT, easiness of implementation and independency of the modulation strategy of the converter.DOI: http://dx.doi.org/10.11591/ijpeds.v5i1.6065
Volume: 5
Issue: 1
Page: 93-100
Publish at: 2014-07-15
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