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31,456 Article Results

Improvement of direct torque control applied to doubly fed induction motor under variable speed

10.11591/ijpeds.v11.i1.pp97-106
Hala Alami Aroussi , Elmostafa Ziani , Manale Bouderbala , Badre Bossoufi
This work is dedicated to the study of an improved direct torque control of the doubly fed induction motor (DFIM). The control method adopts direct torque control 'DTC' because of its various advantages like the ease of implementation which allows a good performance at transient and steady state without PI regulators and rotating coordinate transformations. To do this, the modeling of the motor is performed. Subsequently, an explanation of the said command is spread out as well as the principle of adjusting the flux and the electromagnetic torque according to the desired speed. Then, the estimation method of these two control variables will be presented as well as the adopted switching table of the hysteresis controller model used based on the model of the multilevel inverters. Finally, the robustness of the developed system will be analyzed with validation in Matlab/Simulink environment to illustrate the performance of this control.
Volume: 11
Issue: 1
Page: 97-106
Publish at: 2020-03-01

Phishing detection system using machine learning classifiers

10.11591/ijeecs.v17.i3.pp1165-1171
Nur Sholihah Zaini , Deris Stiawan , Mohd Faizal Ab Razak , Ahmad Firdaus , Wan Isni Sofiah Wan Din , Shahreen Kasim , Tole Sutikno
The increasing development of the Internet, more and more applications are put into websites can be directly accessed through the network. This development has attracted an attacker with phishing websites to compromise computer systems. Several solutions have been proposed to detect a phishing attack. However, there still room for improvement to tackle this phishing threat. This paper aims to investigate and evaluate the effectiveness of machine learning approach in the classification of phishing attack. This paper applied a heuristic approach with machine learning classifier to identify phishing attacks noted in the web site applications. The study compares with five classifiers to find the best machine learning classifiers in detecting phishing attacks. In identifying the phishing attacks, it demonstrates that random forest is able to achieve high detection accuracy with true positive rate value of 94.79% using website features. The results indicate that random forest is effective classifiers for detecting phishing attacks.
Volume: 17
Issue: 3
Page: 1165-1171
Publish at: 2020-03-01

Implementation of the conventional seven-level single-phase symmetrical cascaded h-bridge MLI based on PSIM

10.11591/ijpeds.v11.i1.pp169-177
Hassan Salman Hamad
Researchers have found interest in the multilevel inverters (MLI) owing to the low total harmonic distortion (THD) associated with their output voltage, as well as their low electromagnetic interference (EMI). The MLI represents an effective and feasible solution for enhancing power demand and minimizing AC waveforms’ harmonics as they generate a preferred level of output voltage as inputs from varying levels of DC voltages. In this paper, the performance of a seven-level cascaded H-bridge MLI with an asymmetrical number of power switches was evaluated. The simulation performance is shown to validate the operating principle of the single-phase cascaded H-bridge inverter. To control the MLI, a pulse width modulation approach was utilized. The operating principle of the MLI was verified via simulation using PSIM software.
Volume: 11
Issue: 1
Page: 169-177
Publish at: 2020-03-01

Design a nine-level modular multilevel converter for DC railway electrification system

10.11591/ijpeds.v11.i1.pp151-159
Chuen Ling Toh , P. C. Ooi
A recuperating converter is highly demanded in traction power substation to deliver the braking energy generated by a traction vehicle. Conventional voltage source inverter had been implemented in the traction power station. However, large ac line filters must be installed to improve the quality of ac voltages and currents. This paper proposes to install a nine-level Modular Multilevel Converter (MMC) as a recuperating converter. The main aim is to eliminate the need of ac line filters while producing good quality of ac voltage and current waveforms. The MMC is designed and modelled using MATLAB/Simulink Simulation tool. A centralized control of balancing all the sub-module capacitor voltage level is proposed with Third Harmonic Voltage Injection Level Shifted Pulse Width Modulation (THVI-LSPWM) technique. The simulation results prove that with the application of MMC, good quality of ac voltages and currents are being produced. The Total Harmonic Distortion indexes are found less than 3.5 % without using any ac line filters in the system. In addition, the classic DC link capacitance has also being eliminated. 
Volume: 11
Issue: 1
Page: 151-159
Publish at: 2020-03-01

PV integrated single-phase dynamic voltage restorer for sag voltage, voltage fluctuations and harmonics compensation

10.11591/ijpeds.v11.i1.pp547-554
Toufik Toumi , Ahmed Allali , Othmane Abdelkhalek , Abdallah Ben Abdelkader , Abdelmalek Meftouhi , Mohammed Amine Soumeur
This document proposes a photovoltaic (PV) based single-phase dynamic voltage restoration (DVR) device, it eliminates both sag and swell voltage and compensates for power. The proposed system requires a power source to compensate for the sag/swell voltage. This system has found a simple topology for the DVR that uses PV with two DC-DC boosts converters as the DC power source for the dynamic voltage conservator. The DC/DC boost converter powered by the PV generator is used to increase the voltage to meet the DC bus voltage requirements of the single-branch voltage source inverter (VSI). This system uses renewable energy; saves energy accordingly and supplies power to critical/sensitive loads. The control method used in this work is a Sliding Mode Control (SMC) method and relies on a phase locked loop (PLL) used to control the active filter. The effectiveness of the suggested method is confirmed by the MATLAB/Simulink® simulation results and some prototype experiments. These results show the capacity of the proposed DC link control.
Volume: 11
Issue: 1
Page: 547-554
Publish at: 2020-03-01

Active learning education in Museum

10.11591/ijere.v9i1.20380
İrem Namli Altintas , Çiğdem Kozaner Yenigül
In this study, it was aimed to determine social studies candidates how to practice about make of use museums as a learning environment. It was tried to discuss a case, for this purpose ıt was used case study. The study group consisted of 19 students (12 females, 7 males) studying social studies at a public university. Participants were given museum training lasting 7 weeks and the process started with the visit of the Antalya Archeology Museum. In this study, Museum Evaluation Forms were used as data collection tools. These forms were used at two-stage. The first stage was the Pre-Museum Evaluation Form and the second stage was the Activity Evaluation Forms. Content analysis technique was used in data analysis, and the forms were examined separately and themes and categories were created. In the categories, the statements of some of the participants were given with direct quotations. As a result of the research, the expectations of the students before the museum training are divided into the categories of Learning about the use of the Museum, Historical awareness and Embodiment in the theme of Cognitive Field. In the affective main theme, it was determined that it was divided into the categories of Group Work, Contribution to Professional Knowledge and Being an Effective Citizen. In the Cognitive Field theme, the students' experiences after museum training are divided into the categories of Field Knowledge, Museum Use Learning and Creativity. In the affective Thinking, Contribution to Professional Knowledge, Permanent Learning, and Role-Playing are the categories of the affective categories. Participants stated that to make use of museum to effect on the cognitive area more effective than affective area. 
Volume: 9
Issue: 1
Page: 120-128
Publish at: 2020-03-01

Defining social content and social content management: Service science perspective

10.11591/ijeecs.v17.i3.pp1453-1460
Wan Azlin Zurita Wan Ahmad , Muriati Mukhtar , Yazrina Yahya
Social media enables unlimited open interactions between organisations and customers. Social content resulting from social media interactions are of immense value and could be beneficial to both organisations and customers. Well managed social content could be used as a basis for producing service innovations offered by the organisations. However, the meaning of social content and its definition is not clearly articulated in the literature. This led to an equally limited meaning of social content management. In this regard, this article proposed that the definition of social content and social content management should be developed from the service science perspective. This is necessary to capture the essential facet of social interactions, that of value co-creation. Both definitions are developed through a triangulation process namely, literature review and a series of interviews with experts. With the proposed definition of social content and social content management, it is hoped that it would enhance the understanding of both concepts thus leading to a more effective way of managing social content.
Volume: 17
Issue: 3
Page: 1453-1460
Publish at: 2020-03-01

Vehicle accident management and control system using MQTT

10.11591/ijaas.v9.i1.pp1-11
Sudha Senthilkumar , K. Brindha , Shashank Bhandari
The quick development of innovation has made our lives less demanding. Innovation has additionally expanded activity risks and street mishaps occur very often which cause tremendous death toll and damage to property on account of poor response from the people in charge of managing such incidents. The mishap recognition undertaking will give an ideal solution for this problem. An accelerometer or a Tilt Sensor can be used as part of an auto caution application with the goal that unsafe driving can be identified. It can be utilized as a crash or rollover finder of the vehicle amid and after a crash. With signals from a sensor, a serious situation because of an accident can be avoided or attended to at the earliest. At the point of time when a vehicle meets with an accident or an auto moves over, the tilt sensor recognizes the flag and promptly sends it to the microcontroller. The microcontroller sends the alarm message through the IoT Module including the location of the accident through the GPS Module to the police or control group by publishing it over the cloud. So, the crisis enable group can promptly follow the area through the GPS Module, subsequent to receiving and accepting the data. The area can likewise be seen on the Google maps. Vital move can be made if this data reaches the control group in time. This venture is valuable in recognizing the accident with the use of sensors. As a future execution, we can add a remote webcam to the current system in order to capture pictures of the scene of the accident.
Volume: 9
Issue: 1
Page: 1-11
Publish at: 2020-03-01

DTC-ANN-2-level hybrid by neuronal hysteresis with mechanical sensorless induction motor drive using KUBOTA observer

10.11591/ijpeds.v11.i1.pp34-44
Dris Ahmed , Bendjebbar Mokhtar , Belaidi Aek
In this paper, DTC is applied for two-level inverter fed IM drives based on neuronal hysteresis comparators and The Direct Torque Control (DTC) is known to produce quick and robust response in AC drive system. However, during steady state, torque, flux and current ripple. An improvement of electric drive system can be obtained using a DTC method based on ANNs which reduces the torque and flux ripples, the estimated the rotor speed using the KUBOTA observer method based on measurements of electrical quantities of the motor. The validity of the proposed methods is confirmed by the simulation results.The THD (Total Harmonic Distortion) of stator current, torque ripple and stator flux ripple are determined and compared with conventional DTC control scheme using Matlab/Simulink environment.
Volume: 11
Issue: 1
Page: 34-44
Publish at: 2020-03-01

Enhancement of real-time IoT-based air quality monitoring system

10.11591/ijpeds.v11.i1.pp390-397
Wei Jian Ng , Zuraini Dahari
Air pollution is one of the biggest threat for the environment and the human’s health. The monitoring of air pollution based on several atmospheric pollutants is becoming critical in most countries including Malaysia. This paper presents a development and enhancement features of real-time Internet of Things (IoT)-based environmental monitoring system for air quality. The proposed system will be beneficial to monitor the real-time data for a specific set of air quality parameters such as temperature, humidity and concentration of carbon monoxide, liquified petroleum gas (LPG) and smoke. An alarm system will be triggered if the concentration of carbon monoxide exceeds 50 ppm. Users can use their smartphone to view these data via Wi-Fi by installing an application called “AirProp”. Based on the collected data, this paper also analyses other contributing factors such as time and traffic condition on the temperature, humidity and concentration of pollutant gases at different locations. The advantage of the real-time system is it serves as the data base platform to store data up to certain duration of time. The data can be further analysed and leveraged by governments and researchers to mitigate air pollution.
Volume: 11
Issue: 1
Page: 390-397
Publish at: 2020-03-01

Online geocode in postal address using GPS with synchronous database accessing

10.11591/ijeecs.v17.i3.pp1487-1492
Mohammad Riyadh R. Sharba , Hakim Adil Kadhim , Salam A. W. Al-Abassi , Nabeel Salih Ali
Postal addressing information is a crucial issue in any organization for business targets, especially in developed countries. Thus, required to convert postal address data to an absolute value like latitude and longitude coordinates by a procedure called geocoding. In this paper, discuss how to make long coordinates into simple geocode via maps services. Besides, conduct a smartphone application to save the geocode with details information to be a GIS for the future used by end-users. The information includes address name, type, and phone number as well as a small note. The app can search for a particular location like hospitals, schools, restaurants, etc.
Volume: 17
Issue: 3
Page: 1487-1492
Publish at: 2020-03-01

Dual axis solar tracker with IoT monitoring system using arduino

10.11591/ijpeds.v11.i1.pp451-458
Siti Amely Jumaat , Mohamad Nur Aiman Mohd Said , Clarence Rimong Anak Jawa
This project aims to develop dual axis solar tracker with IOT monitoring system using Arduino. Generally, solar energy is the technology to get useful energy from sunlight. Solar energy has been used in many traditional technologies over the centuries and has been widely used in the absence of other energy supplies. Its usefulness is widespread when awareness of the cost of the environment and the supply is limited by other energy sources such as fuel. The solar tracking system is the most effective technology to improve the efficiency of solar panels by tracking and following the sun's movement. With the help of this system, solar panels can improve the way of sunlight detection so that more electricity can be collected as solar panels can maintain a sunny position. Thus the project discusses the development of two-axis solar-tracking developers using Arduino Uno as main controller the system. For develops this project, four light-dependent resistors (LDRs) have been used for sunlight detection and a maximum light intensity. Two servo motors have been used to rotate the solar panel according to the sun's light source detected by the LDR. Next a WIFI ESP8266 device is used as an intermediary between device and IOT monitoring system. The IOT monitoring system is a website that functions to store data. The efficiency of this system has been tested and compared with a single axial solar tracker. As a result, the two-axis solar tracking system generates more power, voltage and current.
Volume: 11
Issue: 1
Page: 451-458
Publish at: 2020-03-01

Symmetrical high voltage gain half-bridge inverter based double-Y-source networks with reduced voltage stress

10.11591/ijpeds.v11.i1.pp515-522
Hussain Sayed , Oday A Ahmed , Dhari Y Mahmood , Kanaan A. Jalal , Waleed H. Habeeb
A single-stage symmetrical high voltage gain half-bridge (HB) DC-AC converter is proposed in this paper. Using two Y-source impedance networks, the following key features are utilized from the proposed topology: single stage inverter with very high voltage gain compared to conventional HB inverter, symmetrical output voltage waveform, low voltage stress across the passive components because it is distributed across two impedance networks, and only two switching devices are needed for the converter. Furthermore, important merit of the proposed topology is that the current drawn by the Y-coupled inductors is symmetrical around the X-axis which helps to prevent the Y-network cores from reaching the saturation state. And the last compelling feature is a virtual neutral point for the load connection is inherited in the proposed double Y-source impedance networks converter with no need for DC-Link capacitors. For low voltage sources such as photovoltaic (PV) and fuel cell, the converter is designed to achieve continuous input current operation. The operation modes and principles of the inverter are analyzed and discussed deeply in this paper. A detailed mathematical equations system is derived and verified for the presented converter. Finally, PSpice simulation tools are used to simulate the converter and verify the derived mathematical formulas.
Volume: 11
Issue: 1
Page: 515-522
Publish at: 2020-03-01

An efficient quantum multiverse optimization algorithm for solving optimization problems

10.11591/ijaas.v9.i1.pp27-33
Samira Sarvari , Nor Fazlida Mohd. Sani , Zurina Mohd Hanapi , Mohd Taufik Abdullah
Due to the recent trend of technologies to use the network-based systems, detecting them from threats become a crucial issue. Detecting unknown or modified attacks is one of the recent challenges in the field of intrusion detection system (IDS). In this research, a new algorithm called quantum multiverse optimization (QMVO) is investigated and combined with an artificial neural network (ANN) to develop advanced detection approaches for an IDS. QMVO algorithm depends on adopting a quantum representation of the quantum interference and operators in the multiverse optimization to obtain the optimal solution. The QMVO algorithm determining the neural network weights based on the kernel function, which can improve the accuracy and then optimize the training part of the artificial neural network. It is demonstrated 99.98% accuracy with experimental results that the proposed QMVO is significantly improved optimization compared with multiverse optimizer (MVO) algorithms.
Volume: 9
Issue: 1
Page: 27-33
Publish at: 2020-03-01

Wireless power transfer framework for minirobot based on resonant inductive coupling and impedance matching

10.11591/ijpeds.v11.i1.pp317-325
Kin Yun Lum , Jyi-Shyan Chow , Kah Haur Yiauw
Minirobots which are under the field of miniature robotics, have a dimension of a few centimetres to even a few millimetres. Conventionally, these small sized robots are usually powered up by batteries. The batteries can take up a lot of space and result in a bulky system. Isolating the energy storage components from the robot itself can provide a good alternative to further down sized the robot. This can be done with the incorporation of wireless power transfer (WPT) technology. However, studies of small-size WPT are usually reported with poor efficiency. The objective of this paper is to present an efficient wireless power transfer framework for the minirobot by employing the resonant inductive coupling together with impedance matching technique. The theory and design process will be discussed. Then, a simple prototyping experiment was conducted to verify the proposed framework. Result showed 35% transfer efficiency had been achieved on a transmission distance of 0.5 cm. The proposed framework had also successfully powered a 4 watts minirobot prototype at about 16% transfer efficiency where its receiver coil was located 3.5 cm above the transmitter coil.
Volume: 11
Issue: 1
Page: 317-325
Publish at: 2020-03-01
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