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29,939 Article Results

A two-phase plagiarism detection system based on multi-layer long short-term memory networks

10.11591/ijai.v10.i3.pp636-648
Nguyen Van Son , Le Thanh Huong , Nguyen Chi Thanh
Finding plagiarism strings between two given documents are the main task of the plagiarism detection problem. Traditional approaches based on string matching are not very useful in cases of similar semantic plagiarism. Deep learning approaches solve this problem by measuring the semantic similarity between pairs of sentences. However, these approaches still face the following challenging points. First, it is impossible to solve cases where only part of a sentence belongs to a plagiarism passage. Second, measuring the sentential similarity without considering the context of surrounding sentences leads to decreasing in accuracy. To solve the above problems, this paper proposes a two-phase plagiarism detection system based on multi-layer long short-term memory network model and feature extraction technique: (i) a passage-phase to recognize plagiarism passages, and (ii) a word-phase to determine the exact plagiarism strings. Our experiment results on PAN 2014 corpus reached 94.26% F-measure, higher than existing research in this field.
Volume: 10
Issue: 3
Page: 636-648
Publish at: 2021-09-01

From competition to collaboration: Unraveling teachers’ lesson study experiences

10.11591/ijere.v10i3.21101
Romiro G. Bautista , Wilfredo B. Baniqued
Lesson study is a professional development program among teachers. It reciprocates teachers’ development to students’ outcomes. It is also an act of leveraging classroom practices, enriching teachers’ content knowledge, and process skills and beliefs. This study explored the experiences of a group of science secondary school teachers that implemented the lesson study in their classes. Qualitative data were gathered from the informants’ interview during the implementation of the lesson study. Data were processed through document trail among the informants to ascertain the veracity of the transcribed responses, reflections, and observations. Thematic analysis revealed five themes on the experiences of the teachers in implementing the Lesson Study: developing a culture of oneness, crafting teachers’ competence through synergism, boosting teachers’ morale and confidence, refining the quality of the research lesson, and scheming avenues for critical thinking. It is, therefore, suggested that lesson study be implemented by all teachers across all subject-areas in the division and introduced among pre-service teachers to further discover its efficacy towards teachers’ development and students’ outcomes. Furthermore, it is strongly suggested that knowledgeable others be involved in the implementation of the lesson study as their presence were found significant in ensuring its success as most of the teachers are not specialized in the field that they are teaching.
Volume: 10
Issue: 3
Page: 921-929
Publish at: 2021-09-01

Real time implementation of anti-windup PI controller for speed control of induction machine based on DTC strategy

10.11591/ijpeds.v12.i3.pp1358-1368
Lahcen Ouboubker , Jawad Lamterkati , Mohamed Khafallah , Aziz El Afia
This paper presents simulation and experimental results of anti-windup PI controller to improve induction machine speed control based on direct torque control (DTC) strategy. Problems like rollover can arise in conventional PI controller due to saturation effect. In order to avoid such problems anti-windup PI controller is presented. This controller is simple for implementation in practice. The proposed anti-windup PI controller demonstrates better dynamic step changes response in speed in terms of overshoots. All simulation work was done using Simulink in the MATLAB software. The experimental results were obtained by practical implementation on a dSPACE 1104 board for a 1.5 KW induction machine. Simulation and experimental results have proven a good performance and verified the validity of the presented control strategy.
Volume: 12
Issue: 3
Page: 1358-1368
Publish at: 2021-09-01

H7 three phase transformerless inverter for photovoltaic grid-tied system with maximum power point operation

10.11591/ijpeds.v12.i3.pp1853-1861
Essam Hendawi , Sherif Zaid
One of the most important and common parts of the modern power systems is the grid-connected photovoltaic (PV) systems. Recently, these systems have gotten a big revolution due to the introduction of the transformerless inverters. It has the merits of small size, low cost, and high efficiency. However, transformerless inverters has a general safety problem related to the earth leakage current. Various researches were directed toward evolving their performance and diminishing the leakage current to the standard limits. This article proposes an application of the H7 controller to a PV powered grid-tied three phase transformerless inverter. The transformerless inverter is linked with the grid through a boost converter. The boost converter inductance is rearranged and divided to reduce the earth leakage current of the system. simulations are carried out for the proposed H7 PV grid-tied system and for a system that uses the conventional three phase inverter. The simulation results show that the H7 inverter provides lower leakage current, higher efficiency, and lower total harmonic distortion (THD) compared to the conventional three phase inverter.
Volume: 12
Issue: 3
Page: 1853-1861
Publish at: 2021-09-01

Real time emulator for parallel connected dual-PMSM sensorless control

10.11591/ijpeds.v12.i3.pp1390-1404
Khaldoune Sahri , Maria Pietrzak-David , Lotfi Baghli , Abdelaziz Kheloui
This paper presents a real-time emulator of a dual permanent magnet synchronous motor (PMSM) drive implemented on a field-programmable gate array (FPGA) board for supervision and observation purposes. In order to increase the reliability of the drive, a sensorless speed control method is proposed. This method allows replacing the physical sensor while guaranteeing a satisfactory operation even in faulty conditions. The novelty of the proposed approach consists of an FPGA implementation of an emulator to control the actual system. Hence, this emulator operates in real-time with actual system control in healthy or faulty mode. It gives an observation of the speed rotation in case of fault for the sake of continuity of service. The observation of the rotor position and the speed are achieved using the dSPACE DS52030D digital platform with a digital signal processor (DSP) associated with a Xilinx FPGA.
Volume: 12
Issue: 3
Page: 1390-1404
Publish at: 2021-09-01

Roles of career maturity mediating the effects of locus of control and socioeconomic status on career readiness

10.11591/ijere.v10i3.21127
Mar'atus Sholikah , Muhyadi Muhyadi
This study aimed to analyze students' readiness for careers out of their professions by considering the effect of locus of control and socioeconomic status. Career maturity acted as the variable intervening. The quantitative method was chosen to test the hypothesis. A total of 80 students were selected to be respondents based on purposive sampling. Model testing was done by using PLS-SEM. The findings of this study found that the locus of control influenced student career readiness. Conversely, socioeconomic status had no significant effect on their career readiness. On the other hand, this study's career maturity partially mediates between locus of control and career readiness. Regarding the effect of socioeconomic status on career readiness, career maturity in this study was known to have a role as an explanatory or predictor. This study concluded that if students wanted to improve their career readiness, they should pay attention to the locus of control and achieve career success. This study's results contribute to institutions, educators, students, and counselling, informing that individual career maturity is an effective way to facilitate students' readiness in their career decision-making process. Future studies should adopt essential variables related to career readiness that is not examined in this study.
Volume: 10
Issue: 3
Page: 781-789
Publish at: 2021-09-01

Modeling of static var compensator-high voltage direct current to provide power and improve voltage profile

10.11591/ijpeds.v12.i3.pp1659-1672
Abdolmajid Javadian , Mahmoud Zadehbagheri , Mohammad Javad Kiani , Samad Nejatian , Tole Sutikno
Transmission lines react to an unexpected increase in power, and if these power changes are not controlled, some lines will become overloaded on certain routes. Flexible alternating current transmission system (FACTS) devices can change the voltage range and phase angle and thus control the power flow. This paper presents suitable mathematical modeling of FACTSdevices including static var compensator (SVC) as a parallel compensator and high voltage direct current (HVDC) bonding. A comprehensive modeling of SVC and HVDC bonding in the form of simultaneous applications for power flow is also performed, and the effects of compensations are compared. The comprehensive model obtained was implemented on the 5-bus test system in MATLAB software using the Newton-Raphson method, revealed that generators have to produce more power. Also, the addition of these devices stabilizes the voltage and controls active and reactive power in the network.
Volume: 12
Issue: 3
Page: 1659-1672
Publish at: 2021-09-01

Acceleration based black-box accident detection and warning system

10.11591/ijeecs.v23.i3.pp1838-1846
Kadri Ibrahim , Kadri Boufeldja , Beladgham Mohammed , Dahmane Oussama
This research paper has been consecrated to design a black-box accident warning system that combines both Global System for Mobile Communication (GSM) and Global Positioning System (GPS) technologies to locate and send a Minimum Amount of Data containing important information about the accident gathered using different sensors such as the accident type, geographic coordinates, time and velocity of the vehicle to the intervention services (Hospitals, civil protection and police). In addition, the system exploits the data obtained via OBD-II standard to provide a reliable accident detection method based on the vehicle acceleration. Obviously, this system seemed to be the best solution for countries where the average age of vehicles is quite higher than others. The system has been placed in a real vehicle in order to test the accident detection algorithm by applying sudden medium braking.
Volume: 23
Issue: 3
Page: 1838-1846
Publish at: 2021-09-01

Load shedding scheme based metaheuristic technique for power system controlled islanding

10.11591/ijeecs.v23.i3.pp1306-1314
N. Z. Saharuddin , I. Zainal Abidin , H. Mokhlis , E. F. Shair
Power system-controlled islanding is one of the mitigation techniques taken to prevent blackouts during severe outage. The implementation of controlled islanding will lead to the formation of few islands, that can operate as a stand-alone island. However, some of these islands may not be balanced in terms of generation and load after the islanding execution. Therefore, a good load shedding scheme is required to meet the power balance criterion so that it can operate as a balanced stand-alone island. Thus, this paper developed a load shedding scheme-based metaheuristics technique namely modified discrete evolutionary programming (MDEP) technique to determine the optimal amount of load to be shed in order to produce balanced stand-alone islands. The developed load shedding scheme is evaluated and validated with two other load shedding techniques which are conventional EP and exhaustive search techniques. The IEEE 30-bus and 39-bus test systems were utilized for this purpose. The results proves that the load shedding based MDEP technique produces the optimal amount of loads to be shed with shortest computational time as compared with the conventional EP and exhaustive search techniques.
Volume: 23
Issue: 3
Page: 1306-1314
Publish at: 2021-09-01

Classification and direction discrimination of faults in transmission lines using 1D convolutional neural networks

10.11591/ijpeds.v12.i3.pp1928-1939
Ahmed Thamer Radhi , Wael Hussein Zayer , Adel Manaa Dakhil
This paper presents a fast and accurate fault detection, classification and direction discrimination algorithm of transmission lines using one-dimensional convolutional neural networks (1D-CNNs) that have ingrained adaptive model to avoid the feature extraction difficulties and fault classification into one learning algorithm. A proposed algorithm is directly usable with raw data and this deletes the need of a discrete feature extraction method resulting in more effective protective system. The proposed approach based on the three-phase voltages and currents signals of one end at the relay location in the transmission line system are taken as input to the proposed 1D-CNN algorithm. A 132kV power transmission line is simulated by Matlab simulink to prepare the training and testing data for the proposed 1D- CNN algorithm. The testing accuracy of the proposed algorithm is compared with other two conventional methods which are neural network and fuzzy neural network. The results of test explain that the new proposed detection system is efficient and fast for classifying and direction discrimination of fault in transmission line with high accuracy as compared with other conventional methods under various conditions of faults.
Volume: 12
Issue: 3
Page: 1928-1939
Publish at: 2021-09-01

CLG clustering for dropout prediction using log-data clustering method

10.11591/ijai.v10.i3.pp764-770
Agung Triayudi , Wahyu Oktri Widyarto , Lia Kamelia , Iksal Iksal , Sumiati Sumiati
Implementation of data mining, machine learning, and statistical data from educational department commonly known as educational data mining. Most of school systems require a teacher to teach a number of students at one time. Exam are regularly being use as a method to measure student’s achievement, which is difficult to understand because examination cannot be done easily. The other hand, programming classes makes source code editing and UNIX commands able to easily detect and store automatically as log-data. Hence, rather that estimating the performance of those student based on this log-data, this study being more focused on detecting them who experienced a difficulty or unable to take programming classes. We propose CLG clustering methods that can predict a risk of being dropped out from school using cluster data for outlier detection.
Volume: 10
Issue: 3
Page: 764-770
Publish at: 2021-09-01

Modeling and control of a hybrid DC/DC/AC converter to transfer power under different power management strategies

10.11591/ijpeds.v12.i3.pp1620-1631
Amin Alizadeh Asl , Ramin Alizadeh Asl
A hybrid DC/DC/AC converter connected to the grid without a three-phase transformer is controlled. The decentralized control method is applied to the hybrid DC-DC converter such that the maximum power of PV flows to the grid side. This controller must charge and discharge the battery at the proper time. It must also regulate DC-link voltage. An additional advantage of the proposed control is that the three-phase inverter does not need a separate controller such as PWM and SPWM. A simple technique is used for creating the desired phase shift in the three-phase inverter, which makes the active and reactive power of the inverter controllable. A new configuration is also proposed to transmit and manage the generation power of PV. In thisscheme, the battery and fuel cell are employed as an auxiliary source to manage the generation power of PV. Finally, a real-time simulation is performed to verify the effectiveness of the proposed controller and system by considering the real characteristics of PV and FC.
Volume: 12
Issue: 3
Page: 1620-1631
Publish at: 2021-09-01

Performance improvement of decentralized control for bidirectional converters in a DC micro-grid

10.11591/ijpeds.v12.i3.pp1505-1520
Seyed Mojtaba Abbasi , Mehdi Nafar , Mohsen Simab
In this paper, using a neural controller and a genetic optimization algorithm to control the voltage as well as, control the frequency of the grid along with the management of the reactive power of the micro-grid to control the output power during islanding using Simultaneous bilateral power converters with voltage/frequency droop strategy and optimization of PI coefficients of parallel power converters by genetic-neural micro-grid algorithm to suppress AC side-current flow that increases stability and improvement of conditions frequency and voltage are discussed. Given the performance of the micro-grid in two simulation scenarios, namely transition from on-grid to off-grid, the occurrence of a step change in load in island mode as well as return to working mode is connected. The ability to detect the robust performance and proper performance of two-level neural controller. The controller performance time was also very good, indicating the appropriate features of the method used to design the controller, namely two-level neural, genetics. The main advantage of this method is its simplicity of design. The method used is also efficient and resistant to changes in the system, which results from the simulations.
Volume: 12
Issue: 3
Page: 1505-1520
Publish at: 2021-09-01

Implementation of arduino pro mini and ESP32 cam for temperature monitoring on automatic thermogun IoT-based

10.11591/ijeecs.v23.i3.pp1366-1375
P. W. Rusimamto , Endryansyah Endryansyah , L. Anifah , R. Harimurti , Y. Anistyasari
The purpose of this research is to monitor the temperature by applying arduino pro mini and ESP32 cam using IoT technology which is connected to a web interface. Arduino is used as the main brain of the system where arduino will read data from the MLX90614-ACF temperature sensor. Sensor data will continue to be sent to the server by arduino via the ESP32 cam module. This tool can also take pictures and send images automatically at the same time when measuring temperature. The captured image will automatically be sent to the PC/laptop monitor screen via the website. The website is used to display and monitor the results of temperature measurement data and display the image results from the ESP32 cam. The process of taking photos and measuring body temperature is done automatically. Users can also view data from sensors and photo data sent by arduino and ESP32 cam via the provided web interface. From the test results, this system has been running well where all sensor data is sent and can be displayed on the website. Images and measurement data results are sent to the monitor screen via the website interface with a measurement accuracy of 99.6%.
Volume: 23
Issue: 3
Page: 1366-1375
Publish at: 2021-09-01

Online diagnosis of supercapacitors using extended Kalman filter combined with PID corrector

10.11591/ijpeds.v12.i3.pp1521-1534
Zoubida Bououchma , Jalal Sabor
Supercapacitors are electrical energy storage devices with a high specific power density, a long cycle life and a good efficiency, which make them attractive alternative storage devices for various applications. However, supercapacitors are subject to a progressive degradation of their perfor-mance because of aging phenomenon. Therefore, it is very important to be able to estimate their State-of-Health during operation. Electrochemical Impedance Spectroscopy (EIS) is a very recog-nized technique to determine supercapacitors’ state-of-health. However, it requires the interrup-tion of system operation and thus cannot be performed in real time (online). In this paper, a new online identification method is proposed based on extended Kalman observer combined with a complementary PID corrector. The proposed method allows to accurately estimating supercapacitor resistance and capacitance, which are the main indicators of supercapacitor state-of-health. The new online identification method was applied for two voltage/current profiles using two different supercapacitors. The resistance/capacitance estimated by the new method and the conventional EKF were compared with those obtained by an experimental offline method. In comparison with conventional EKF, the capacitance obtained by the new method is significantly more accurate.
Volume: 12
Issue: 3
Page: 1521-1534
Publish at: 2021-09-01
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