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Elementary School Third Grade Students’ Expectations of Their Teachers in The Course of Language Education

10.11591/ijere.v7i2.13452
Sabri Sidekli , Zeliha Cura , Alper Yorulmaz
The purpose of the study is to determine the elementary school third grade students’ expectations of their classroom teachers within the context of the course of language education. The sampling of the study is comprised of 200 elementary school third grade students attending elementary schools in the Milas Province of the city of Muğla. The data were gathered by means of the questionnaire, which had six sub-categories, in order to identify students’ expectations of their teachers. The findings of the study revealed that the students have high expectations of their teachers in terms of the sub-dimensions of active participation, verbal participation, written participation, participating in reading, inclusion of the topics and measurement and evaluation. The students’ expectations of their teachers in relation to the sub-dimension of measurement and evaluation were found to be varying significantly depending on the gender variable. This difference is in favor of boys.
Volume: 7
Issue: 2
Page: 159-166
Publish at: 2018-06-01

Nonlinear Adaptive Control for Wind Turbine Under Wind Speed Variation

10.11591/ijra.v7i2.pp87-95
Abdelhaq.Amar bensaber , Mustapha Benghanem , Mohammed.Amar bensaber , Abdelmadjid. Guerouad
Wind turbines components work as nonlinear systems where electromechanical parameters change frequently [1], which makes nonlinear control an interesting solution to prevail good efficiency. SMC has been largely used in electrical power applications because it offers interesting features like robustness to parametric uncertainties and external disturbances, to conquer the biggest drawback of the SMC, adaptation strategy consists on updating the sliding gain and the turbine torque to contribute with some important characteristics such as chatter-free performance, heftiness, robustness and secure power system operation. Matlab tests are introduced and compared.
Volume: 7
Issue: 2
Page: 87-95
Publish at: 2018-06-01

Determination of Secondary School 4th Grade Students’ Mental Models of the Astronomer

10.11591/ijere.v7i2.11371
Meryem Görecek Baybars , Büşra Tuğçe Kayabas
Teaching astronomy to young generations is of great importance because astronomy education helps us to better understand the world we are living in and to find answers to our questions. In this regard, the current study aimed to determine the secondary school 4th grade students’ mental models of the astronomer. The current research is designed as a descriptive study employing the special case study method. The study was conducted in a city located in the western part of Turkey. The study group is comprised of a total of 77 secondary school 4th grade students attending a state school. In line with the purpose of the study, a data collection tool consisted of 2 open-ended questions was developed. In light of the findings of the study, it can be argued that the mental models possessed by the students about the astronomer are the scientific model, the astronaut model and the celestial bodies model
Volume: 7
Issue: 2
Page: 94–99
Publish at: 2018-06-01

Grid and Force Based Sensor Deployment Methods in Wireless Sensor Network using Particle Swarm Optimization

10.11591/ijeecs.v10.i3.pp1287-1295
Aparna Pradeep Laturkar , Sridharan Bhavani , DeepaliParag Adhyapak
Wireless Sensor Network (WSN) is emergingtechnology and has wide range of applications, such as environment monitoring, industrial automation and numerous military applications. Hence, WSN is popular among researchers. WSN has several constraints such as restricted sensing range, communication range and limited battery capacity. These limitations bring issues such as coverage, connectivity, network lifetime and scheduling & data aggregation. There are mainly three strategies for solving coverage problems namely; force, grid and computational geometry based. PSO is a multidimensional optimization method inspired from the social behavior of birds called flocking. Basic version of PSO has the drawback of sometimes getting trapped in local optima as particles learn from each other and past solutions. This issue is solved by discrete version of PSO known as Modified Discrete Binary PSO (MDBPSO) as it uses probabilistic approach. This paper discusses performance analysis of random; grid based MDBPSO (Modified Discrete Binary Particle Swarm Optimization), Force Based VFCPSO and Combination of Grid & Force Based sensor deployment algorithms based on interval and packet size. From the results of Combination of Grid & Force Based sensor deployment algorithm, it can be concluded that its performance is best for all parameters as compared to rest of the three methods when interval and packet size is varied.
Volume: 10
Issue: 3
Page: 1287-1295
Publish at: 2018-06-01

Design of Robust Fractional-Order PID Controller for DC Motor Using the Adjustable Performance Weights in the Weighted-Mixed Sensitivity Problem

10.11591/ijra.v7i2.pp108-118
Toufik Amieur , Moussa Sedraoui , Oualid Amieur
This paper deals with the robust series and parallel fractional-order PID synthesis controllers with the automatic selection of the adjustable performance weights, which are given in the weighted-mixed sensitivity problem. The significant contribution of the paper is to achieve the good trade-off between nominal performances and robust stability for DC motor regardless its nonlinear dynamic behavior, the unstructured model uncertainties and the effect of the sensor noises on the feedback control system. The main goal is formulated as the weighted-mixed sensitivity problem with unknown adjustable performance weight.  This problem is then solved using an adequate optimization algorithm and its optimal solution leads to determine simultaneously the robust fractional PID controller, which is proposed by the series and the parallel fractional structures, As well as, the obtained optimal solution determines the corresponding adjustable performance weight. The proposed control technique is applied on DC motor where its dynamic behavior is modeled by unstructured multiplicative model uncertainty. The obtained performances are compared in frequency- and time-domains with those given by both integer controllers such classical PID and H∞ controllers.
Volume: 7
Issue: 2
Page: 108-118
Publish at: 2018-06-01

Exponential Reaching Law and Sensorless DTC IM Control with Neural Network Online Parameters Estimation based on MRAS

10.11591/ijra.v7i2.pp77-86
Legrioui Said , Rezgui Salah Eddine , Benalla Hocine
The most important problem in the control of induction machine (IM) is the change of its parameters, especially the stator resistance and rotor-time constant. The objective of this paper is to implement a new strategy in sensorless direct torque control (DTC) of an IM drive. The rotor flux based model reference adaptive system (MRAS) is used to estimate conjointly the rotor speed, the stator resistance and the inverse rotor time constant, the process of the estimation is performed on-line by a new MRAS-based artificial neural network (ANN) technique. Furthermore, the drive is complemented with a new exponential reaching law (ERL), based on the sliding mode control (SMC) to significantly improve the performances of the system control compared to the conventional SMC which is known to be susceptible to the annoying chattering phenomenon. An experimental investigation was carried out via the Matlab/Simulink with real time interface (RTI) and dSPACE (DS1104) board where the behavior of the proposed method was tested at different points of IM operation.
Volume: 7
Issue: 2
Page: 77-86
Publish at: 2018-06-01

A Survey on Cleaning Dirty Data Using Machine Learning Paradigm for Big Data Analytics

10.11591/ijeecs.v10.i3.pp1234-1243
Jesmeen M. Z. H , J. Hossen , S. Sayeed , CK Ho , Tawsif K , Armanur Rahman , E.M.H. Arif
Recently Big Data has become one of the important new factors in the business field. This needs to have strategies to manage large volumes of structured, unstructured and semi-structured data. It’s challenging to analyze such large scale of data to extract data meaning and handling uncertain outcomes. Almost all big data sets are dirty, i.e. the set may contain inaccuracies, missing data, miscoding and other issues that influence the strength of big data analytics. One of the biggest challenges in big data analytics is to discover and repair dirty data; failure to do this can lead to inaccurate analytics and unpredictable conclusions. Data cleaning is an essential part of managing and analyzing data. In this survey paper, data quality troubles which may occur in big data processing to understand clearly why an organization requires data cleaning are examined, followed by data quality criteria (dimensions used to indicate data quality). Then, cleaning tools available in market are summarized. Also challenges faced in cleaning big data due to nature of data are discussed. Machine learning algorithms can be used to analyze data and make predictions and finally clean data automatically.
Volume: 10
Issue: 3
Page: 1234-1243
Publish at: 2018-06-01

Anxiety in Visually Impaired Students about the Future

10.11591/ijere.v7i2.13263
Aydın Kızılaslan , M. Meral Kızılaslan
The aim of this study is to determine the anxiety level that visually impaired students may have for the future when planning their profession. Anxiety is defined as excessive level fear and worry about real or imaginary situations. So the excessive worry can affect the ability to act to solve a problem. This study is a case study based on the semi-structured interviews. The study group consists of six 8th grade students with visual impairment. The aim of selecting students with visual impairment as a sample group is to determine the individuals who are aware that education is an important for their future plans but at the same time aware that the barriers created by society have greater impact on their the socialization. As a result, visually impaired individuals are willing to be part of the society, but the created obstacles cause anxiety in many different ways as they constitute their futures. This situation negatively affects their motivation and academic performance, and diminishes the importance of education for them as well.
Volume: 7
Issue: 2
Page: 152–158
Publish at: 2018-06-01

Comparative Study Entered New Approach FMV and Control SFR for Active Compensation of Harmonic Currents in Shunt Active Power Filter

10.11591/ijra.v7i2.pp119-128
Loutfi Benyettou
In this article, we discuss the problem of degradation of current in electrical installations, which follows directly from the proliferation of non-linear loads, to solve it, we used a two-level inverter as a parallel active filter, which injects current harmonics at the connection point with two compensation methods the method of instantaneous active and reactive power (pq method and pq method with MVF) method binds to the repository synchronization. We will highlight two control strategies by hysteresis and PWM. Simulation results using Blok set Power System (PBS)/ Simulink Matlab show reduced THD in accordance with standard IEEE-519.
Volume: 7
Issue: 2
Page: 119-128
Publish at: 2018-06-01

Application of Sliding Mode Control Technique to Regulate DC/DC Boost Converters in Systems Exploiting Photovoltaic Power Generation

10.11591/ijra.v7i2.pp96-107
Le Tien Phong , Ngo Duc Minh
This paper introduces a new method, called IB-SMC method, to control DC/DC boost converters in systems exploiting photovoltaic power generation. This method combines the sliding mode control technique and iterative-bisectional  technique in the maximum power point tracker to change operations modes of photovoltaic power generation. The IB-SMC controller uses voltage sliding surface to evaluate the relation of instantaneous voltage at the input converter and instantaneous voltage at the maximum power point. Using information about the power of electromagnetic radiation from a pyranometer and temperature from a temperature sensor, the sliding surface and hyteresis band are changed by practically operational conditions that help improving energy efficiency of the process exploiting PVg. Simulations are carried out by Matlab/Simulink that show the ability to ensure dynamic stability by tracking instaneous maximum power point at any time whenever having any change of the operational condition, static stability by maintaining the operation point at maximum power point whenever not have any change of the operational condition and help to bring out approximately absolute energy efficiency.
Volume: 7
Issue: 2
Page: 96-107
Publish at: 2018-06-01

The Effects of “I Can Problem Solve Program” on Children’s Perspective Taking Abilities

10.11591/ijere.v7i2.11945
Ceren Yağmur Aras , Durmuş Aslan
This study was conducted to determine the effects of I Can Problem Solve Program on preschool children’s perspective taking skills. Participants were 51 children who were attending two public preschool. In the study, pretest – posttest – permanence test control group desing was used. There were an experimental group and two control groups in the study. As data collection tool, “Perspective Taking Test for Children (PTC)” which was developed by Aslan and Köksal-Akyol [1] were utilized. Firstly, PTC was applied to children as pretest. Then “I Can Problem Solve Program” which was developed by Shure [2] and adapted to Turkish by Öğülmüş [3] was applied to children in experimental group. Children in control groups were attend the regular program. After the completing the program application PTC was implemented to experimental group and control groups as posttest. Finally, PTC was applied to experimental group as permanence test after a month of posttest. At the end of the study, it was determined that I Can Problem Solve Program had a significant impact on children’s perspective taking skills. There was a statistically significant difference between experimental group and control groups in posttest, while there was no difference between the groups in prettest. Children in experimental group performed better than children in control groups in posttest. Moreover, there was no significant difference in experimental group’s scores between posttest and permanence test scores.
Volume: 7
Issue: 2
Page: 109–117
Publish at: 2018-06-01

Analysis of ANFIS MPPT Controllers for Partially Shaded Stand Alone Photovoltaic System with Multilevel Inverter

10.11591/ijra.v7i2.pp140-148
T. Ramesh , R. Saravanan , S. Sekar
This work presents a unique combination of an boost converter  run by a set of two photovoltaic panels (PV) with a MPPT, suitable to guarantee MPP even under partial shadowed conditions, managed by an adaptive neuro fuzzy inference system (ANFIS) trained by the training data derived from a Perturb and observation (P&O) conventional algorithm. The single phase cascaded H bridge five-level inverter (CHI) driven by the individual outputs of the boost converter, with selective harmonic elimination scheme to eliminate typically the seventh order harmonics. Simulation was carried out in the MATLAB/SIMULINK environment validated the proposed scheme. It has been thus established; by both simulations the ANFIS model of MPPT scheme outperforms other schemes of conventional control algorithm.
Volume: 7
Issue: 2
Page: 140-148
Publish at: 2018-06-01

Neural Network Based MPPT Controller for Solar PV Connected Induction Motor

10.11591/ijra.v7i2.pp129-139
T. Shanthi
In this paper, Maximum Power Point Tracking Controller is designed based on Neural Network Controller (NNC). This controller will sense the speed of a single phase induction motor which is fed from solar panel. Maximum power point tracking (MPPT) algorithm are required in all photovoltaic (PV) system and in order to increase the efficiency of the system, Incremental Conductance algorithm which is an effective algorithm is used to extract maximum power from the solar panel which supplies an Induction motor of 1HP. To step up the voltage available from the solar panel, the SEPIC dc – dc converter is used. The main advantage of the converter is having non-inverted output. The converter acts as an interface between PV array and motor load. The entire system is modeled and simulated using MATLAB/Simulink  software.
Volume: 7
Issue: 2
Page: 129-139
Publish at: 2018-06-01

The Effectiveness of Science Textbook Based on Science Technology Society for Elementary School Level

10.11591/ijere.v7i2.13022
Alifah Kartikasari , Roemintoyo Roemintoyo , Sri Yamtinah
This study reports a quasi-experimental investigating the development of Science textbook based on Science Technology and Society for elementary school. The data collection was got from the achievement test (pretest-posttest). The population was all fourth-grade students of elementary schools in Gatak Subdistrict and the sample of the study was two schools as an experimental class and control class. The research sample was taken by random sampling technique. The results of this research showed that there was an improvement of student achievement before and after the implementation of science textbook based on Science Technology and Society. The result of the independent sample t-test shows that tobs is higher than table (5.489>1.681). The outcomes of the learning improvement in the experimental class based on the acquisition of N-Gain scores of 0.558. Based on tobs results, H0 is rejected. So it can be concluded that the development of a science textbook based on Science Technology Society in elementary school is appropriate to use for learning.
Volume: 7
Issue: 2
Page: 127–131
Publish at: 2018-06-01

Mediation Role of Locus of Control on the Relationship of Learned-helplessness and Academic Procrastination among College Students in Penang, Malaysia.

10.11591/ijere.v7i2.12597
Kususanto Prihadi , Christine Y.H. Tan , Reimy T.S. Tan , Poh Ling Yong , Jonathan H.E Yong , Sharvini Tinagaran , Chee Leong Goh , Yu Jin Tee
This study aims to study the mediation role of locus of control on the impact of learned helplessness on students’ academic procrastination. Studies reported that more than 70% university students procrastinate, and one of the causes is the perception that one is vulnerable or helpless in finishing the procrastinate tasks. It was hypothesized that internal locus of control iLOC can reduce the effect if the learned helplessness (LH) on academic procrastination. Data was collected from 60 university students by utilizing instruments such as Duttweiller’s Internal Control Scale, Pure Procrastination Scale (adapted for academic setting) and Learned Helplessness Scale. Multiple regression with Process add-on showed that full mediation occurred; the prediction of LH on procrastination became insignificant when iLOC is controlled. In other words, when students believe that they are in control of their events, the less likely they will procrastinate doing their tasks due to helpless feeling.
Volume: 7
Issue: 2
Page: 87–93
Publish at: 2018-06-01
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