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29,922 Article Results

Islanding detection of integrated distributed generation with advanced controller

10.11591/ijeecs.v17.i3.pp1626-1631
J Rajesh Reddy , A Pandian , R Dhanasekaran , Rami Reddy Ch , B Prasanna Lakshmi , B Neelima Devi
Grid integration of non conventional energy resources is increasing in day to day life to supply the global energy utilization requirement. The major problem with such integrated Distributed Generation (DG) is islanding. The islanding is originated in the integrated system when a part of the power system is disconnected from the grid and continue to feed the local load. The islanding is not safe to field persons and equipment. As per IEEE 1547 standards, the islanding should be detected within 2 seconds with the equipments associated with it. In this paper, a new islanding detection method is proposed with fuzzy rule based approach with inputs as the change in frequency and power. This method classifies the islanding and non islanding events efficiently compared to other passive methods. The simulations are carried on Matlab/ Simulink 2018b environment.
Volume: 17
Issue: 3
Page: 1626-1631
Publish at: 2020-03-01

The effect of coupled inquiry-5E in enhancing the understanding of Meiosis concept

10.11591/ijere.v9i1.20393
Nooraida Yakob , Kelvineh Kaliun , Ahmad Muslihin Ahmad , Rabiatul-Adawiah Ahmad Rashid , Amelia Abdullah
The purpose of this study is to investigate the effectiveness of coupled inquiry-5E approach on the understanding of meiosis concept among pre-service teachers. The research design of this study is one-group design with a pre-test -post-test-delayed post-test. A total of 31 pre-service teachers from one public university involved in this study. An instrument, Meoisis Conceptual Test with 19 items was used. Data was analysed using One Way Repeated Measure ANOVA. The result showed that there is a statistically significant effect for time, Wilks’ Lambda =.80, F (2,29) = 3.65, p<.05, multivariate eta squared = .20. From the analysis, it can be concluded that there is a statistically significant effect for time. Thus, this finding showed that couple inquiry learning approach has an effect on enhancing meiosis understanding among pre-service teachers. From this study, it is suggested that couple inquiry learning approach is a good method to be used in learning abstract concept such as meiosis.
Volume: 9
Issue: 1
Page: 129-137
Publish at: 2020-03-01

Performance enhancements of DFIG wind turbine using fuzzy-feedback linearization controller augmented by high-gain observer

10.11591/ijpeds.v11.i1.pp10-23
Kada Boureguig , Abdellah Mansouri , Ahmed Chouya
This paper proposes a feedback linearization control of doubly fed induction generator based wind energy systems for improving decoupled control of the active and reactive powers stator. In order to enhance dynamic performance of the controller studied, the adopted control is reinforced by a fuzzy logic controller. This approach is designed without any model of rotor flux estimation. The difficulty of measuring of rotor flux is overcome by using high gain observer. The stability of the nonlinear observer is proved by the Lyapunov theory. Numerical simulations using MATLAB-SIMULINK shown clearly the robustness of the proposed control, particularly to the disturbance rejection and parametric variations compared with the conventional method.
Volume: 11
Issue: 1
Page: 10-23
Publish at: 2020-03-01

Design of fractional order controllers using constrained optimization and reference tracking method

10.11591/ijpeds.v11.i1.pp291-301
Manoj D Patil , K. Vadirajacharya , Swapnil Khubalkar
In recent times, fractional order controllers are gaining more interest. There are several fractional order controllers are available in literature. Still, tuning of these controllers is one of the main issues which the control community is facing. In this paper, online tuning of five dierent fractional order controllers is discussed viz. tilted proportional-integral-derivative (T-PID) controller, fractional order proportional-integral (FO-PI) controller, fractional order proportional-derivative (FO-PD) controller, fractional order proportional-integral-derivative (FO-PID) controller. A reference tracking method is proposed for tuning of fractional order controllers. First order with dead time (FOWDT) system is used to check feasibility of the control strategy.
Volume: 11
Issue: 1
Page: 291-301
Publish at: 2020-03-01

Artificial neural network forecasting performance with missing value imputations

10.11591/ijai.v9.i1.pp33-39
Nur Haizum Abd Rahman , Muhammad Hisyam Lee
This paper presents time series forecasting method in order to achieve high accuracy performance. In this study, the modern time series approach with the presence of missing values problem is developed. The artificial neural networks (ANNs) is used to forecast the future values with the missing value imputations methods used known as average, normal ratio and also the modified method. The results are validated by using mean absolute error (MAE) and root mean square error (RMSE). The result shown that by considering the right method in missing values problems can improved artificial neural network forecast accuracy. It is proven in both MAE and RMSE measurements as forecast improved from 8.75 to 4.56 and from 10.57 to 5.85 respectively. Thus, this study suggests by understanding the problem in time series data can produce accurate forecast and the correct decision making can be produced.
Volume: 9
Issue: 1
Page: 33-39
Publish at: 2020-03-01

Students’ learning style and its effect on blended learning, does it matter?

10.11591/ijere.v9i1.20422
Nurasma’ Shamsuddin , Jasber Kaur
Blended learning is an approach in education system that provides multi delivery mode to optimize learning outcome and cost of program delivery in institutions. Little is known on how impactful blended learning in terms of achieving the desired learning outcome. This is because students’ learning style has influenced their achievement and if mediated in a hybrid learning environment like blended learning will further result in evaluation and performance of blended learning environment. This study aims to investigate learning styles among the students and their relationship with perceptions of blended learning. The study involved 119 students taking the course of Diploma in Information Technology at a private university. The learning style of the students was determined by using Kolb's Learning Style Inventory, while perceptions of blended learning were investigated using elements of process, content, and usability. Student perceptions on blended learning were assessed using a one-way ANOVA to determine the correlation with the learning style of the students. Majority of the students belong to the Convergent category, followed by Divergent, Accommodator, and Assimilator. The outcomes of this study showed no meaningful difference between students’ learning styles and their perceptions towards blended learning. The findings from the study could benefit academician in designing more suitable material according to students' preferred mode such as more hands-on tasks for Convergent groups, which belief, can improve the student's achievement.
Volume: 9
Issue: 1
Page: 195-202
Publish at: 2020-03-01

An ELM-based single input rule module and its application in power generation

10.11591/ijpeds.v11.i1.pp359-366
Chong Tak Yaw , Shen Young Wong , Keem Sian Yap
Extreme Learning Machine (ELM) is widely known as an effective learning algorithm than the conventional learning methods from the point of learning speed as well as generalization. In traditional fuzzy inference method which was the "if-then" rules, all the input and output objects were assigned to antecedent and consequent component respectively. However, a major dilemma was that the fuzzy rules' number kept increasing until the system and arrangement of the rules became complicated. Therefore, the single input rule modules connected type fuzzy inference (SIRM) method where consociated the output of the fuzzy rules modules significantly. In this paper, we put forward a novel single input rule modules based on extreme learning machine (denoted as SIRM-ELM) for solving data regression problems. In this hybrid model, the concept of SIRM is applied as hidden neurons of ELM and each of them represents a single input fuzzy rules. Hence, the number of fuzzy rule and the number of hidden neuron of ELM are the same. The effectiveness of proposed SIRM-ELM model is verified using sigmoid activation functions based on several benchmark datasets and a NOx emission of power generation plant.  Experimental results illustrate that our proposed SIRM-ELM model is capable of achieving small root mean square error, i.e., 0.027448 for prediction of NOx emission.
Volume: 11
Issue: 1
Page: 359-366
Publish at: 2020-03-01

A wind turbine sensorless automatic control systems, analysis, modelling and development of IDA-PBC method

10.11591/ijpeds.v11.i1.pp45-55
Hamiani Hichem , Mansouri Abdellah , Tadjeddine Ali Abderrazak , Belaidi Abdelkader , Salim Ramzi
Several non-linear controls are developed for controlling a wind energy conversion system equipped with a DFIG double feed asynchronous generator. Exploitation of the aerodynamic power captured by the turbine gives a new instruction to the controller based on passivity by keeping the hypersynchronous regime of the DFIG. An adaptive observer MRAS was developed for the considered as a structure in which the rotor speed is estimated from the measurement of stator and rotor currents. Our goal is to maximize active power, minimize construction costs in order to control wind turbine systems using our passivity and observation method. Best results were obtained using sensorless MPPT and IDA-PBC methods.
Volume: 11
Issue: 1
Page: 45-55
Publish at: 2020-03-01

Fuzzy logic based fan controller of indoor air purifier fan

10.11591/ijeecs.v17.i3.pp1266-1274
Ertie Cusipag Abana , Mark Jerson Palatan , Christian Paolo Pascual , Chia Mae Mateos , Sheree Anne Galasinao
Indoor air purifier (IAP) has been developed by various companies worldwide to address indoor air pollution. The manufacturers of these air purifiers rarely concentrate in controlling the rotation speed of the fan which results in the use of traditional control techniques wherein some still relies on human intervention. In this paper, Fuzzy Logic (FL) was applied to control the rotation speed of the fan of an indoor air purifier. The system automatically maintains a suitable fan speed based on the fuzzy values generated on the current environmental condition. The series of testing conducted using the system showed a very high accuracy in the interpretation of dust concentration to its equivalent Air Quality Index (AQI) levels of health concern. For each detected AQI, the system was able to regulate the voltage coming into a motor that controls the speed of the fan. The usage of the fuzzy logic fan controller in the indoor air purifier fan reduced the energy consumption by 41.67%.
Volume: 17
Issue: 3
Page: 1266-1274
Publish at: 2020-03-01

Design of H_∞ for induction motor

10.11591/ijpeds.v11.i1.pp24-33
Ammar issa Ismael , Lafta E. Jumaa , Nisreen Khamas
For Induction motor is a system that works at their speed, nevertheless there are applications at which the speed operations are needed. The control of range of speed of induction motor techniques is available. The robust control is used with induction motor and the performance of the system with the controller will be improved. The mathematical model to the controller, which were coded in MATLAB. The modeling and controller will be shown by the conditions of robustness of  be less than one.
Volume: 11
Issue: 1
Page: 24-33
Publish at: 2020-03-01

Ozone prediction based on support vector machine

10.11591/ijeecs.v17.i3.pp1461-1466
M. Tanaskuli , Ali N. Ahmed , Nuratiah Zaini , Samsuri Abdullah , Abdoulhdi A. Borhana , N. A. Mardhiah , Mathivanan Mathivanan
The prediction of tropospheric ozone concentrations is very important due to negative effects of ozone on human health, atmosphere and vegetation. Ozone Prediction is an intricate procedure and most of the conventional models cannot provide accurate prediction. Machine Learning techniques have been widely used as an effective tool for prediction. This study is investigating the implementation of Support vector Machine-SVM to predict Ozone concentrations. The results show that the SVM is capable in predicting ozone concentrations with acceptable level of accuracy. Sensitivity analysis has been conducted to show what is the most effective parameters on the proposed model.
Volume: 17
Issue: 3
Page: 1461-1466
Publish at: 2020-03-01

Verifiable secure computation of linear fractional programming using certificate validation

10.11591/ijpeds.v11.i1.pp284-290
Nedal M. Mohammed , Laman R. Sultan , Ahmed A. Hamoud , Santosh S. Lomte
Outsourcing of scientic computations is attracting increasing attention since it enables the customers with limited computing resource and storage devices to outsource the sophisticated computation workloads into powerful service providers. However, it also comes up with some security and privacy concerns and challenges, such as the input and output privacy of the customers, and cheating behaviors of the cloud. Motivated by these issues, this paper focused on privacy-preserving Linear Fractional Programming (LFP) as a typical and practically relevant case for veriable secure multiparty computation. We will investigate the secure and veriable schema with correctness guarantees, by using normal multiparty techniques to compute the result of a computation and then using veriable techniques only to verify that this result was correct.
Volume: 11
Issue: 1
Page: 284-290
Publish at: 2020-03-01

Torque ripples improvement of direct torque controlled five-phase induction motor drive using backstepping control

10.11591/ijpeds.v11.i1.pp64-74
Hamdi Echeikh , Ramzi Trabelsi , Hichem Kesraoui , Atif Iqbal , Mohamed Faouzi Mimouni
The paper proposes Direct Torque Control (DTC) of a five-phase induction motor drive with reduced torque ripple. The method presented here is the DTC Backstepping based on the classic DTC working with a constant switching frequency of the inverter. Another remarkable aspect is the complexity of the method proposed, both in the control unit of the inverter and in the number of correctors necessary for the control of the torque. The selection table and hysteresis have been eliminated. This method significantly improves the torque and flux oscillations and improves the dynamics of the drive by making it less sensitive to load torque disturbances. The proposed method is developed and designed using Matlab/SIMULINK to show the eectiveness and performances of the DTC-Backstepping.
Volume: 11
Issue: 1
Page: 64-74
Publish at: 2020-03-01

Electrical profile of ultra violet (UV) curable renewable polymer graphite (PG) composites

10.11591/ijpeds.v11.i1.pp459-465
Nur Munirah Abdullah , A. Z. M. Rus , M. F. L. Abdullah , Hanani Abd Wahab
The electrical profiles of the renewable polymer graphite (PG) composites upon ultra violet (UV) curing were investigated. Renewable PG films were prepared by mixing with varying weight percent of graphite (with an increment of 5 wt. % of prepared graphite) up to 30 wt.% and crosslinker. Then, the composites solution was slip casted and cured upon stimulated UV irradiation (UV accelerated weathering tester) at different time exposure (up to 1000 hours) was applied. Small changes on the functional groups of the composites were observed due to UV exposure time by Fourier Transform Infrared Spectroscopy (FTIR). Suggesting that chemical crosslink and chain scissions occurred within renewable polymer graphite composites. Further electrical profile through two point probe and four point probe method recorded visibly fluctuating values for both resistivity and conductivity within its composites range. Proposed here that the removal of organic contaminants and weak materials form both renewable polymer and graphite particles through the UV curing may have an effect on the formation of conductive network stability. 
Volume: 11
Issue: 1
Page: 459-465
Publish at: 2020-03-01

High speed transmission of signal level for white light emitting diode (LED) as a transmitter device by using modified phase equalization

10.11591/ijeecs.v17.i3.pp1348-1354
Maad Mohsin Mijwil
Visible light communication (VLC) also known as "Li-Fi", uses standard LEDs to transmit data such as information, images, music, and videos. The first LED was developed in 1927 by Oleg Vladimírovich Lósev (1903-1942), however it was not used in the industry until the 1960s.In this paper, will describe the implementation of Modified Phase Equalization (MPH) on visible white LED lamps signal because it's has slow transition time that severely limits in the communication system data speeds with phase equalization that increases the bandwidth of the LED modulation. Employ two filters with Modified Phase Equalization: first, Complementary (C) filter to combine between all kinds moving signals and second, finite impulse response (FIR) filter to obtain all coefficients that respective. Implementation in two phases: first, frequency 150KHz with number of signals 15000 signals and second, doubling frequency 300KHz with number of signals 30000 signals of LEDs without losing their main functionality as illumination sources.
Volume: 17
Issue: 3
Page: 1348-1354
Publish at: 2020-03-01
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