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31,377 Article Results

Application of the Least Square Support Vector Machine for point-to-point forecasting of the PV Power

10.11591/ijece.v9i4.pp2205-2211
Mahdi Farhadi , Nader Mollayi
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. 
Volume: 9
Issue: 4
Page: 2205-2211
Publish at: 2019-08-01

Design of transparent microstrip grid array antenna

10.11591/ijeecs.v15.i2.pp888-893
N. I. Mohd Ali , N. Misran , M. F. Mansor , M. F. Jamlos
A transparent grid array antenna of 28 GHz frequency is presented. The radiating element of the antenna is made of ITO thin film and printed on a glass as the dielectric substrate. The simulation of the antenna executed by using Computer Simulation Technology (CST) Microwave Studio software demonstrated at 28 GHz operating frequency for 5G band applications. This antenna then compared to the rectangular microstrip patch antenna of the same operating frequency. Structural parameters of the proposed antenna were optimized based on parametric studies done.  Grid array antenna gives better performance as it gives 35.7% lower return loss with -43.88 dB, better efficiency and gain with a gain of 7.358 dB, which is more than 40% increases.
Volume: 15
Issue: 2
Page: 888-893
Publish at: 2019-08-01

Model-view-controller approach for e-Zakah

10.11591/ijeecs.v15.i2.pp1054-1065
Ah. Fathonih , Dian Sa’adillah Maylawati , Muhammad Ali Ramdhani
Zakah (alms) has a strategic position in terms of Islamic value and terms of the development of the welfare of the people. In the current digital era, the use of technology can facilitate zakah worship more easily, quickly, efficiently, and secure. This study aims to analyze and design electronic zakah (e-Zakah) structurally and systematically using the Model-View-Controller (MVC) approach. MVC is an approach or pattern of object-oriented analysis and design for software development that widely used today. MVC is implemented in the analysis and design modelling using Unified Modeling Language (UML) for e-Zakah. Based on the traceability result of analysis and design of e-Zakah, it can be concluded that the e-Zakah analysis and design model has been met all of zakah concept, user and software requirements, and all of models can be traced to each other. Therefore, e-Zakah analysis and design model in this study is ready to be built as a software.
Volume: 15
Issue: 2
Page: 1054-1065
Publish at: 2019-08-01

Surface roughness condition of field-aged polymer insulators at different installation area

10.11591/ijeecs.v15.i2.pp600-608
A. Din , M.A. M. Piah , A. R. Abdullah , N. F. Kasri
This paper presents surface degradation assessment based on surface roughness condition for various field-aged high voltage polymer insulators that were installed at different locations. The measurement of arithmetical mean surface roughness is done, and statistical analysis is implemented in this study. Three groups of insulators labeled as 6 years, 12 years, 18 years, and with their respective controlled samples are tested using a surface roughness tester. Data measurements from the testing are analyzed in conjunction with visual observation to investigate an indication of surface degradation within the groups. Further statistical analysis is applied for the comparison of the surface roughness conditions. In order to observe the environmental stress factors that will affect the roughness condition, within the installation area, the virtual three-dimensional mapping program represented the Earth based on satellite imagery is utilized. The correlation analysis on all that three groups has indicated the positive outcomes with the roughness increased with respect to the age of insulator that located in quite similar environmental stress conditions. Regardless of the age of an insulator, the degradation due to surface roughness condition can be used to indicate what levels of environmental stress around the installation area have.
Volume: 15
Issue: 2
Page: 600-608
Publish at: 2019-08-01

Dual band low loss metamaterial structure at millimetre wave band

10.11591/ijeecs.v15.i2.pp823-830
B. A. F. Esmail , H. A. Majid , M. F. Ismail , S. H. Dahlan , Z. Z. Abidin , M. K. A. Rahim
In this paper, the Dual band modified split square resonator (MSSR) metamaterial (MM) structure was designed and numerically investigated at millimetre wave (mm-Wave) frequency range. The proposed structure operated at two resonance frequencies 28 GHz and 32.54 GHz. The dual-band behaviour of the proposed structure because of the self and mutual coupling between two metallic squares of the structure. Furthermore, The MSRR structure performed very well at both resonance frequencies by providing high transmission coefficient, S21, with a loss of -0.3 dB (0.97 linear scale) at lower resonance frequency 28 GHz and -0.18 dB (0.98 linear scale) at upper resonance frequency 32.54 GHz. In this regard, the numerical simulation was conducted to optimize the MSSR structure in such a way that the ratio of effective inductance-to-capacitance (L/C) was raised. As a result, the inherent MM losses were reduced. The robust retrieval algorithm was utilized to reconstruct the refractive index, effective permittivity, and effective permeability and to verify the left-hand property of the proposed structure. The simulation results showed that the MSSR unit cell introduces two regions of the negative refractive index below the lower resonance frequency, 28 GHz and above the upper resonance frequency, 32.54 GHz.
Volume: 15
Issue: 2
Page: 823-830
Publish at: 2019-08-01

Performance evaluation of listwise deletion for impaired datasets in multiple regression-based prediction

10.11591/ijeecs.v15.i2.pp1009-1018
Chanintorn Jittawiriyanukoon
Multiple Regression-Based Prediction (MRBP) is an emerging calculation to or analysis technique cope with the future by compiling the history of data. The MRBP characteristic will include an approximation for the associations between physical observations and predictions. MRBP is a predictive model, which will be an important source of knowledge in terms of an interesting trend to be followed in the future. However, there is impairment in the MRBP dataset, wherein each form of missing and noisy data has caused an error and is unavailable further analysis. To overcome this unavailability, so that the data analytics can be moved on, two treatment approaches are introduced. First, the given dataset is denoised; next, listwise deletion (LD) is proposed to handle the missing data. The performance of the proposed technique will be investigated by dealing with datasets that cannot be executed. Employing the Massive Online Analysis (MOA) software, the proposed model is investigated, and the results are summarized. Performance metrics, such as mean squared error (MSE), correlation coefficient (COEF), mean absolute error (MAE), root mean squared error (RMSE), and the average error percentage, are used to validate the proposed mechanism. The proposed LD projection is confirmed through actual values. The proposed LD outperforms other treatments as it only requires less state space, which reflects low computation cost, and proves its capability to overcome the limitation of analysis.
Volume: 15
Issue: 2
Page: 1009-1018
Publish at: 2019-08-01

Emotion recognition using electroencephalogram signal

10.11591/ijeecs.v15.i2.pp786-793
Aqila Nur Nadira Mohammad Yosi , Khairul Azami Sidek , Hamwira Sakti Yaacob , Marini Othman , Ahmad Zamani Jusoh
Emotion play an essential role in human’s life and it is not consciously controlled. Some of the emotion can be easily expressed by facial expressions, speech, behavior and gesture but some are not. This study investigates the emotion recognition using electroencephalogram (EEG) signal. Undoubtedly, EEG signals can detect human brain activity accurately with high resolution data acquisition device as compared to other biological signals. Changes in the human brain’s electrical activity occur very quickly, thus a high resolution device is required to determine the emotion precisely. In this study, we will prove the strength and reliability of EEG signals as an emotion recognition mechanism for four different emotions which are happy, sad, fear and calm. Data of six different subjects were collected by using BrainMarker EXG device which consist of 19 channels. The pre-processing stage was performed using second order of low pass Butterworth filter to remove the unwanted signals. Then, two ranges of frequency bands were extracted from the signals which are alpha and beta. Finally, these samples will be classified using MLP Neural Network. Classification accuracy up to 91% is achieved and the average percentage of accuracy for calm, fear, happy and sad are 83.5%, 87.3%, 85.83% and 87.6% respectively. Thus, a proof of concept, this study has been capable of proposing a system of recognizing four states of emotion which are happy, sad, fear and calm by using EEG signal.
Volume: 15
Issue: 2
Page: 786-793
Publish at: 2019-08-01

Optimization of efficiency for power system using three phase AC to AC matrix converter with the algorithm of fuzzy controller

10.11591/ijape.v8.i2.pp129-133
Hassan Farahan Rashag
This paper suggested a new contribution of three phase AC to AC matrix converter MC via fuzzy logic controller FLC to enhance the whole system. However, the weakness of matrix converter is that the input- output voltage transfer is control to 87% for input and output waveform. Also, matrix converter is more sensitive to the trouble of input voltage which deteriorates the system performance. To overcome these problems, and to improve the efficiency of system, FLC with matrix converter is proposed to minimize the sensitivity to the load, and to increase voltage transfer. In this paper the currents a,b,c are converted to alpha and beta current via Clarke transformation . In this method two FLC are used. The error (between alpha current and reference current) (e) and the change of this error (de) will apply to first FLC. The output of FLC is actual alpha current. In the other hand, the error of beta current and the change of error are also passes through the second FLC to produce the actual beta current. The actual alpha and beta current is converted to direct and quadrature d-q current by park transformation. The d-q current is converted to (a, b, c) out currents by inverse park transformation, the results of this method express that the matrix converter with FLC is more capable, high accuracy with better efficiency as compared with conventional matrix converter system.
Volume: 8
Issue: 2
Page: 129-133
Publish at: 2019-08-01

Enhancement of power system performance with wind farm disturbances

10.11591/ijape.v8.i2.pp159-172
Mahmoud M. El-Sharkawy , Mahmoud A. Attia , Almoataz Y. Abdelaziz
This paper discussed how wind farm disturbance, especially wind speed variability, can affect the performance of the power system. Also, it discussed how blades angels of wind turbine can be controlled to increase the energy efficacy of the power system. It showed that the optimized pitch angel controller using harmony search algorithm could enhance blades angels’ adjustments performance. First part, the paper explained the advantages of doubly fed induction generator in wind turbine system. Paper also enumerated the most probable ways to tame the wind speed variability challenge focusing on the pitch angle controller technique. After that, paper compared the system parameter`s result before optimization with values after optimized pitch angle controller gain (Kp). This comparison would be held in three cases, case of variable wind speed with normal operation condition, constant wind speed with line to ground fault condition and variable wind speed with line to ground fault condition. Finally, It demonstrated the MATLAB/SIMULINK model used illustrating results appeared and conclusion.
Volume: 8
Issue: 2
Page: 159-172
Publish at: 2019-08-01

Performance and FMECA of a wind turbine based on SCADA and lidar data

10.11591/ijape.v8.i2.pp101-109
A. Bennouk , A. Nejmi , M. Ramzi
This paper presents an approach to identify risks for different failures that could affect wind turbine performance, and reduce the measured annual electrical production (MAEP). The proposed approach is based on FMECA (failure mode, effects and criticality analysis) and wind turbine performance study. We present firstly the methodology of performance calculation based on IEC 61400 standard, then we identify the energy gap between the MAEP and WAEP for the case study, we present an extended and reviewed FMECA, by introducing definition of factors related to environment, health and security. As a result we present an actions plan for similar failures deduced from wind performance study and risk-based FMECA, in order to reduce failure risks and optimize production by consequence. The case study is a 2.3 MW onshore wind turbine, different data that are used in this paper were collected from SCADA and lidar.
Volume: 8
Issue: 2
Page: 101-109
Publish at: 2019-08-01

An Improved Differential Evolution Algorithm for Data Stream Clustering

10.11591/ijece.v9i4.pp2659-2667
Bhaskar Adepu , Jayadev Gyani , G. Narsimha
A Few algorithms were actualized by the analysts for performing clustering of data streams. Most of these algorithms require that the number of clusters (K) has to be fixed by the customer based on input data and it can be kept settled all through the clustering process. Stream clustering has faced few difficulties in picking up K. In this paper, we propose an efficient approach for data stream clustering by embracing an Improved Differential Evolution (IDE) algorithm. The IDE algorithm is one of the quick, powerful and productive global optimization approach for programmed clustering. In our proposed approach, we additionally apply an entropy based method for distinguishing the concept drift in the data stream and in this way updating the clustering procedure online. We demonstrated that our proposed method is contrasted with Genetic Algorithm and identified as proficient optimization algorithm. The performance of our proposed technique is assessed and cr eates the accuracy of 92.29%, the precision is 86.96%, recall is 90.30% and F-measure estimate is 88.60%.
Volume: 9
Issue: 4
Page: 2659-2667
Publish at: 2019-08-01

Sizing inductors of an axial flux synchronous generator

10.11591/ijape.v8.i2.pp110-119
D. Lahouel , D. Hedjazi , R. Abdessemed
This given the outcome of environmental situations in recent years, it has become necessary to use other resolutions for the energy production we need, and among these wind power sources. Since the advent of windmills to the first wind turbines, the technology of aero-motors (or wind sensors) has evolved rapidly. This article presents a study of an axial flow generator, and this mechanism is based on the energy of the wind turbine, this structure solves the problem of the distribution of the magnetic field lines in the armature coils and the inductor of the generator, observing the influence on the voltage from the linear velocity, the density of the injected current and the position along its axis; and that by the method of Finite Elements and is used the computer aided design (CAD), and more particularly the software comsol multiphysics to obtain the results that the good operation of the generator.
Volume: 8
Issue: 2
Page: 110-119
Publish at: 2019-08-01

Characteristic evaluation of 20-Bit consecutive codes in high performance optical burst mode receiver configuration

10.11591/ijeecs.v15.i2.pp831-837
Adibah Mazwar , Azura Hamzah , Sevia Mahdaliza Idrus , Atsushi Kanno , Norliza Mohamed
Optical burst mode receivers are indispensable components for Passive Optical Network (PON) and Ethernet Optical Access Network (E-OSAN). An optical burst mode receiver with transfer function Gn(jω/ω0) = 1 - Hn(jω/ω0) is proposed, of which better performance is anticipated than that of conventional AC-coupling. Next, an optical burst mode receiver with fast response Gn(jω/ωF) and slow response Gn(jω/ωS), whereby Gn(jω/ωF) switches to Gn(jω/ωS) right after the DC component of the input burst signal converges to 0 is proposed. Then, an automatically switching circuit that switches fast response Gn(jω/ωF) to slow response Gn(jω/ωS) circuits right after the maximum peak value of the output burst Gn(jω/ωF) is 1/2 and the DC components of the input burst converges to 0 is also proposed. This paper presents the experiments on same consecutive codes in burst mode receivers using the proposed automatically switching circuit, with evaluation on its characteristics made through simulation.
Volume: 15
Issue: 2
Page: 831-837
Publish at: 2019-08-01

Reactive power control to enhance the VSC-HVDC system performance under faulty and normal conditions

10.11591/ijape.v8.i2.pp145-158
Mohamed S. Ghayad , Niveen M. Badra , Almoataz Y. Abdelaziz , Mahmoud A. Attia
This paper studied the reactive power control of the voltage source converters based high-voltage direct current system (VSC-HVDC). PI (proportional & integration) controller was used in this work to enhance the dynamic response of the system. Gravitational search algorithm (GSA) and sine cosine algorithm (SCA) are used to get optimal parameters of the PI controller. GSA algorithm is based on the gravity law for Newton while SCA depends on mathematical model based on cosine and sine functions. These algorithms have an efficient global Search capability. The VSC-HVDC is exposed to different disturbances for checking the controller robustness. First disturbance was applying three phase faults on the system. While the second one was applying a step change in AC voltage. Finally, Applying step change in regulators reference values. Simulation results proved the controller superiority also verified the enhancement of the system dynamic response.
Volume: 8
Issue: 2
Page: 145-158
Publish at: 2019-08-01

Faults detection and diagnoses of permanent magnet synchronous motor based on neuro-fuzzy network

10.11591/ijape.v8.i2.pp173-185
Hashmia Sh. Dakheel , Zainab B. Abdulla , Helen Jassim Jawad
Faults in electrical machine are very important in order to improve the machine expensive maintenance, efficiency, life time, and reliability at real time, therefore this study deals with Simulink model response for healthy and neuro-fuzzy network (ANFIS), this intelligent technique consist of two parts, the first part include electrical and demagnetization faults while another part deals with mechanical faults. Simulation results obtain record activation, high performance, and efficiency of this network.
Volume: 8
Issue: 2
Page: 173-185
Publish at: 2019-08-01
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