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31,377 Article Results

Pre-scheduled load shutdown in microgrid utilizing computerized surveillance system

10.11591/ijeecs.v15.i3.pp1119-1127
G Kanimozhi , Kanimozhi G , Umamaheswari E , Devi Mani , Anitha.R U
The successful inclusion of microgrids for enhancement of the existing power system is laden with many challenges. Increase in demand and insufficient power generation results in power shutdown in several areas which comprises non-critical loads. The preface of Distributed Generation (DG) in power system has varied implications on the existing system. The concept proposed in this paper helps in time scheduling and load scheduling of a power system based on priority setting and time setting. The load management may also be done using IoT which enables load shedding from remote areas.
Volume: 15
Issue: 3
Page: 1119-1127
Publish at: 2019-09-01

Performance analysis of supervised learning models for product title classification

10.11591/ijai.v8.i3.pp228-236
Norsyela Muhammad Noor Mathivanan , Nor Azura Md. Ghani , Roziah Mohd Janor
Online business development through e-commerce platforms is a phenomenon which change the world of promoting and selling products in this 21st century. Product title classification is an important task in assisting retailers and sellers to list a product in a suitable category. Product title classification is a part of text classification problem but the properties of product title are different from general document. This study aims to evaluate the performance of five different supervised learning models on data sets consist of e-commerce product titles with a very short description and they are incomplete sentences. The supervised learning models involve in the study are Naïve Bayes, K-Nearest Neighbor (KNN), Decision Tree, Support Vector Machine (SVM) and Random Forest. The results show KNN model is the best model with the highest accuracy and fastest computation time to classify the data used in the study. Hence, KNN model is a good approach in classifying e-commerce products.
Volume: 8
Issue: 3
Page: 228-236
Publish at: 2019-09-01

Determination of the level of pedagogical formation students’ academic locus of control

10.11591/ijere.v8i3.18166
Süleyman Can , Erdil Durukan
Academic locus of control has an important place in explaining students’ behaviors in educational settings. The purpose of the current study is to determine the level of the pedagogical formation students’ academic locus of control and to investigate whether this level varies depending on some variables. The study employed the survey model, one of the quantitative research methods. The universe of the study is comprised of the students enrolled at the pedagogical formation program initiated in the fall term of 2015-2016 academic year in Muğla Sıtkı Koçman University and the sampling consists of 397 pedagogical formation students. As the data collection tool, the academic locus of control scale was used in the current study. It was concluded that the pedagogical formation students’ level of academic locus of control is medium. It was also found that the students’ academic locus of control, internal locus of control and external locus of control do not vary significantly depending on gender and department; yet, vary significantly depending on age. Furthermore, the pedagogical formation students’ level of satisfaction was found to be significantly correlated with the external locus of control but not with the internal locus of control and academic locus of control.
Volume: 8
Issue: 3
Page: 531-536
Publish at: 2019-09-01

Real time robustness test evaluation performance for intelligent fuzzy controller in extraction process

10.11591/ijeecs.v15.i3.pp1290-1296
Z. M. Zakiah Mohd Yusoff , Nur Dalila Khirul Ashar , Zuraida Muhammad , Amar Faiz Zainal Abidin , Noor Fadzilah Razali , Shakira Azeehan Azli , A.M. MaArkom , Khairul Kamarudin Bin Hasan
This paper presents the real time robustness test using intelligent fuzzy based controller in extraction process of essential oil is discussed in this study. Previous finding shows that the quality of the essential oil is affected by the steam temperature that acts as the control variable in this study. The robustness test is applied to the system during running process to show the system is robust to any operation conditions t make sure the controller is able to give a smooth control output response. The dynamic performance of the system are represented by applying  standard performance criteria such as rise time Tr, settling time Ts, overshoot %OS, root mean square error (RMSE) and time on recovering load disturbance. Generally, the objectives in designing the controllers have been achieved because all intelligent fuzzy based controllers capable to regulate the desired set point by acting on the change in the output compared with the set point.
Volume: 15
Issue: 3
Page: 1290-1296
Publish at: 2019-09-01

What is critical thinking? A longitudinal study with teacher candidates

10.11591/ijere.v8i3.20254
Serap Yılmaz Özelçi , Gürbüz Çalışkan
Critical thinking skills that enhance the ability of individuals to understand and make sense of the world and events and situations around them are one of the foremost research areas in the educational system of various countries. As a critical thinking individual, decisions made by the teacher in his/her class, the activities he/she has performed and the explicit and implicit messages given by him/her to the class are clearly observed by the students. It is believed that the situation of teachers’ having critical thinking skills and critical thinking personality effects on students' perceptions and achievements about critical thinking. In this context, the aim of the research is to determine the perceptions of the teacher candidates about critical thinking and to observe the changes in these perceptions over time. Interviews were held with 11 prospective teachers for two times for 4 years and their thoughts on critical thinking were examined. According to the findings obtained, the thoughts of the teacher candidates regarding the critical thinking do not change over time but they are not seen enough. Teacher candidates make decisions with emotional references and they are reluctant to inquire and research.
Volume: 8
Issue: 3
Page: 495-509
Publish at: 2019-09-01

Risky teenager behavior in a vocational high school

10.11591/ijere.v8i3.20241
Suci Musvita Ayu , Marsiana Wibowo , Liena Sofiana
Adolescence is a very complex period. Various teen problems haunt when they grow up to become adults. The same teenagers successfully face the challenges of their development so that they are free from a variety of risky behaviors. However, some of them also smoke, consume alcohol, have free sex, commit violence, and use drugs. This research is a qualitative study with a phenomenological approach in which researchers explore and try some risky behaviors in health and factors that influence and how adolescents in vocational high schools end up committing some risky behavior. The results of the study show that teens who do not have risky behavior and who do have some risk behaviors have different understandings related to the impact of these behaviors. People around teenagers influence how teenagers will behave. These influential people can cause teenagers to take risky behavior, such as family problems, get bad examples from parents, family members, peers, and idols. Factors that influence adolescents to end up committing risky behavior are the understanding of the negative effects of risk behavior. The various causes of influential people include parents, peers, religious leaders, idols, perceived benefits, self-control, and intention. The internal and external factors of adolescents determine whether the teenager will do or not risky behavior. Strong collaboration between internal and external factors shapes behavior which is not risky in adolescents, and vice versa.
Volume: 8
Issue: 3
Page: 470-475
Publish at: 2019-09-01

Learning styles and teacher efficacy among prospective teachers based on diverse variables

10.11591/ijere.v8i3.19609
Tazegül Demir Atalay
The main aim of this study was to explore learning styles and teacher efficacy of prospective teachers, evaluate them based on department, gender, high school type and educational level of parents, and identify whether there is any relationship between teacher efficacy and learning styles. This is a descriptive study that was conducted using survey model. The study group consisted of 170 prospective teachers in the Faculty of Education, Kafkas University during the 2018-2019 academic year. Research data were gathered through “Teachers’ Sense of Efficacy Scale” and the “Kolb Learning Style Inventory”. The study came to the conclusion that prospective teachers mostly had diverging and converging learning styles while assimilating and accommodating learning styles were least preferred, their teacher efficacy was "sufficient", and teacher efficacy scores differed significantly in relation to learning styles. The study also found a significant relationship between some variables, i.e. department, gender, high school type and educational level of parents, and the prospective teachers' learning style and occupational self-efficacy level. The study discussed these findings from various aspects and proposed recommendations.
Volume: 8
Issue: 3
Page: 484-494
Publish at: 2019-09-01

Design of compact microstrip patch antenna for WBAN applications at ISM 2.4 GHz

10.11591/ijeecs.v15.i3.pp1509-1516
Shahid M Ali , Varun Jeoti , Tale Saeidi , Wong Peng Wen
This paper introduces the design of compact microstrip patch antenna for wireless body area network (WBAN) applications at ISM 2.4 GHz. The design consists of a radiating patch on one side of the substrate and a ground plane is located on the other side of the substrate. The antenna is fed through an inset transmission line and then loaded by two triangles, and shorting pins on both sides of the radiating patch to lengthen the path for current, as result it reduced the overall size. The dimensions of radiating patch antenna are 62 mm× 43 mm × 1.67 mm. By locating the proposed antenna On and Off body communication, it can maintain compact and stable far field radiation characteristics and negligible specific absorption rate (SAR). Furthermore, high efficiencies of about 53 % and 46% are obtained during off and on body, which is higher than recent similar works in the literature. The simulated results showed a good agreement with the measured results. Owing to the acceptable results, the proposed design can be a reliable candidate for WBAN applications at ISM band.
Volume: 15
Issue: 3
Page: 1509-1516
Publish at: 2019-09-01

Fuzzy sliding mode control of doubly-fed induction generator driven by wind turbine

10.11591/ijpeds.v10.i3.pp1592-1602
Meriem Benmeziane , S. Zebirate , A. Chaker , Z. Boudjema
This paper present a hybrid nonlinear control based on fuzzy sliding mode to control wind energy conversion system using a doubly fed induction generator (DFIG). Consiting of coupling fuzzy logic control and sliding mode control this technique is introduced to avoid the major disadvantage of variable structure systems, namely the chattering phenomenon. Effectiveness and feasibility of the proposed control strategy are verified by simulation results in Matlab Simulink.
Volume: 10
Issue: 3
Page: 1592-1602
Publish at: 2019-09-01

Study on real-time media congestion avoidance technique for video streaming over wireless local area network

10.11591/ijeecs.v15.i3.pp1535-1543
C Mohanapriya , J Govindarajan
The video streaming is one of the important application which consumes more bandwidth compared to non-real-time traffic. Most of the existing video transmissions are either using UDP or RTP over UDP. Since these protocols are not designed with congestion control, they affect the performance of peer video transmissions and the non-real-time applications. Like TFRC, Real-Time Media Congestion Avoidance (RMCAT) is one of the recently proposed frameworks to provide congestion control for real-time applications. Since the need for video transmission is increasing over the wireless LAN, in this paper the performance of the protocol was studied over WLAN with different network conditions. From the detailed study, we observed that RMCAT considers the packet losses due to the distance and channel conditions as congestion loss, and hence it reduced the sending rate thereby it affected the video transmission.
Volume: 15
Issue: 3
Page: 1535-1543
Publish at: 2019-09-01

A comparative study of nonlinear circle criterion based observer and H∞ observer for induction motor drive

10.11591/ijpeds.v10.i3.pp1229-1243
Farid Berrezzek , Wafa Bourbia , Bachir Bensaker
This paper deals with a comparative study of circle criterion based nonlinear observer and H∞ observer for induction motor (IM) drive. The  advantage of the circle criterion approach for nonlinear observer design is that it directly handles the nonlinearities of the system with less restriction  conditions in contrast of the other methods which attempt to eliminate them. However the H∞ observer guaranteed the stability taking into account disturbance and noise attenuation. Linear matrix inequality (LMI) optimization approach is used to compute the gains matrices for the two observers. The simulation results show the superiority of H∞ observer in the sense that it can achieve convergence to the true state, despite the nonlinearity of model and the presence of disturbance.
Volume: 10
Issue: 3
Page: 1229-1243
Publish at: 2019-09-01

Review of anomalous sound event detection approaches

10.11591/ijai.v8.i3.pp264-269
Amirul Sadikin Md Affendi , Marina Yusoff
This paper presents a review of anomalous sound event detection (SED) approaches. SED is becoming more applicable for real-world appliactaions such as security, fire determination or olther emergency alarms. Despite many research outcome previously, further research is required to reduce false positives and improve accurracy. SED approaches are comprehensively organized by methods covering system pipeline components of acoustic descriptors, classification engine, and decision finalization method. The review compares multiple approaches that is applied on a specific dataset. Security relies on anomalous events in order to prevent it one must find these anomalous events. Audio surveillance has become more efficient as that artificial intelligence has stepped up the game. Autonomous SED could be used for early detection and prevention. It is found that the state of the art method viable used in SED using features of log-mel energies in convolutional recurrent neural network (CRNN) with long short term memory (LSTM) with a verification step of thresholding has obtained 93.1% F1 score and 0.1307 ER. It is found that feature extraction of log mel energies are highly reliable method showing promising results on multiple experiments.
Volume: 8
Issue: 3
Page: 264-269
Publish at: 2019-09-01

Bridgeless PFC single ended primary inductance converter in continuous current mode

10.11591/ijpeds.v10.i3.pp1427-1436
Nor Akmal Rai , Mohd Junaidi Abdul Aziz , Mohd Rodhi Sahid , Shahrin Md. Ayob
This paper presents bridgeless single ended primary inductor (SEPIC) converter operated in continuous conduction mode (CCM). The converter used in the study offers a lesser conduction loss compared to the other bridgeless SEPIC converter.   In order to regulate the required output current and output voltage with high efficiency while achieving high power factor correction (PFC) at the input side, average current mode control (ACMC) is applied. The model is simulated using MATLAB/Simulink and it is found that the converter and the proposed control strategy provide a promising result. The preliminary results obtained from the experimental test-rig shows a good agreement as in simulation. The theoretical analysis of the proposed controller is verified on an output 100V to 300W prototype.
Volume: 10
Issue: 3
Page: 1427-1436
Publish at: 2019-09-01

Analysis of surface electromyography for hand gesure classification

10.11591/ijeecs.v15.i3.pp1366-1373
Najla Ilyana A.M , Nor Aini Z , Sharvin R. , Norlaili M.S
Electromyography (EMG) is the measure of electrical activity produced by skeletal muscle. It is useful in prosthetic and rehabilitation technology as well as ability to handle electronic devices and robotics. If the EMG signal from the body especially hand movement can be apprehended, better value for people all around the world can be provided. Furthermore, it can be used to control smart-phone and be integrated with wearable technology. Another interesting application of this technology is in sign language recognition which is able to assist many disabled people in their daily lives. In this paper, hand gesture signals are acquired, extracted, analysed and classified. The EMG data from hand gesture which are rock, paper and scissors managed to be extracted. We use time domain feature to classified using Principal Component Analysis and regression tree. The result was highly accurate with 72.59% and 80.85% for PCA and regression tree respectively.
Volume: 15
Issue: 3
Page: 1366-1373
Publish at: 2019-09-01

Modified isotropic orthogonal transform algorithm-universal filtered multicarrier transceiver for 5G cognitive radio application

10.11591/ijece.v9i4.pp3100-3107
R. Dayana , R. Kumar
Rapid developments in modern wireless communication permit the trade of spectrum scarcity.  Higher data rate and wider bandwidth emerge the development in growing demand of wireless communication system. The innovative solution for the spectrum scarcity is cognitive radio (CR). Cognitive radio is the significant technology used to utilize the spectrum effectively. The important aspect of CR is sensing the spectrum band and detects the presence or absence of the primary user in the licensed band. Moreover, another serious issue in next generation (5G) wireless communication is to decide the less complex 5G waveform candidate for achieving higher data rate, low latency and better spectral efficiency. Universal filtered multi-carrier (UFMC) is one of the noticeable waveform candidates for 5G and its applications. In this article, we investigate the spectrum sensing methods in multi-carrier transmission for cognitive radio network applications. Especially, we integrate the sensing algorithm into UFMC transceiver to analyze the spectral efficiency, higher data rates and system complexity. Through the simulation results, we prove that the UFMC based cognitive radio applications outperform the existing Orthogonal Frequency Division Multiplexing (OFDM) based CR applications.
Volume: 9
Issue: 4
Page: 3100-3107
Publish at: 2019-08-01
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