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29,922 Article Results

Identifying creative thinking skills in subject matter bio-chemistry

10.11591/ijere.v8i4.20257
M. Dwi Wiwik Ernawati , Damris Muhammad , Asrial Asrial , Muhaimin Muhaimin
Creative thinking is needed in 21st century learning. This quantitative study aimed to determine whether chemistry education students at Universitas Jambi have the initial ability of creative thinking. The type of research that is used is a research design survey that is strengthened by the results of interviews to support the results of quantitative data. Where the number of all samples from this study was 188 college students with details of 140 female and 48 male college students from 4th semester chemistry education students who were taken based on purposive sampling technique. Data were then analyzed using SPSS 21 application to find descriptive statistics in the form of mean, median, min, max, and category. From the results of the analysis conducted, it was found that there were students' creative thinking abilities in chemistry subjects in bio-chemical material indicated by sensitivity indicators which had a good category of 44.7% (84 of 188), fluency indicators had a good category of 41.5% (78 of 188), the flexibility indicator has a good category of 40.4% (76 of 188), the originality indicator has a category of 43.1% (81 of 188), and the elaboration indicator has a category of 39.4% (74 of 188).
Volume: 8
Issue: 4
Page: 581-589
Publish at: 2019-12-01

Fractional-order PID controller for permanent magnet DC motor based on PSO algorithm

10.11591/ijpeds.v10.i4.pp1724-1733
Fadhil A. Hasan , Lina J. Rashad
This paper proposes the fractional-order proportional integral derivative (FOPID) controller, as a speed controller for permanent magnet direct current (PMDC) motor, instead of the traditional integer-order PID controller. The FOPID controller is the general form of the integer-order PID controllers, which found wide applications in all engineering fields. In this work a hybrid M-file and SIMULINK program is developed to simulate the overall system, the FOPID controller has five associated parameters. The optimum values of those parameters are found out by using particle swarm optimization technique. Simulation results show excellent command speeds tracking and superior dynamic response in conjunction with that of the integer-order PID controller. The proposed controller shows a high ability to overcome any external disturbance the system may be exposed; also, it performs a high degree of robustness to control the system in motoring and regenerative operating modes.
Volume: 10
Issue: 4
Page: 1724-1733
Publish at: 2019-12-01

PV array connected to the grid with the implementation of MPPT algorithms (INC, P&O and FL Method)

10.11591/ijpeds.v10.i4.pp2084-2095
Oumnia Lagdani , Mourad Trihi , Badre Bossoufi
The purpose of this article is to extract the maximum power point at which the photovoltaic system can operate optimally. The system considered is simulated under different irradiations (between 200 W/m2 and 1000 W/m2), it mainly includes the established models of solar PV and MPPT module, a DC/DC boost converter and a DC/AC converter. The most common MPPT techniques that will be studied are: "Perturbation and Observation" (P&O) method, "Incremental Conductance" (INC) method, and "Fuzzy Logic" (FL) control. Simulation results obtained using MATLAB/Simulink are analyzed and compared to evaluate the performance of each of the three techniques.
Volume: 10
Issue: 4
Page: 2084-2095
Publish at: 2019-12-01

Forecasting financial budget time series: ARIMA random walk vs LSTM neural network

10.11591/ijai.v8.i4.pp317-327
Maryem Rhanoui , Siham Yousfi , Mounia Mikram , Hajar Merizak
Financial time series are volatile, non-stationary and non-linear data that are affected by external economic factors. There is several performant predictive approaches such as univariate ARIMA model and more recently Recurrent Neural Network. The accurate forecasting of budget data is a strategic and challenging task for an optimal management of resources, it requires the use of the most accurate model. We propose a predictive approach that uses and compares the Machine Learning ARIMA model and Deep Learning Recurrent LSTM model. The application and the comparative analysis show that the LSTM model outperforms the ARIMA model, mainly thanks to the LSTMs ability to learn non-linear relationship from data.
Volume: 8
Issue: 4
Page: 317-327
Publish at: 2019-12-01

Network intrusion detection system by using genetic algorithm

10.11591/ijeecs.v16.i3.pp1593-1599
Hamizan Suhaimi , Saiful Izwan Suliman , Ismail Musirin , Afdallyna Fathiyah Harun , Roslina Mohamad
Developing a better intrusion detection systems (IDS) has attracted many researchers in the area of computer network for the past decades. In this paper, Genetic Algorithm (GA) is proposed as a tool that capable to identify harmful type of connections in a computer network. Different features of connection data such as duration and types of connection in network were analyzed to generate a set of classification rule. For this project, standard benchmark dataset known as KDD Cup 99 was investigated and utilized to study the effectiveness of the proposed method on this problem domain. The rules comprise of eight variables that were simulated during the training process to detect any malicious connection that can lead to a network intrusion. With good performance in detecting bad connections, this method can be applied in intrusion detection system to identify attack thus improving the security features of a computer network.
Volume: 16
Issue: 3
Page: 1593-1599
Publish at: 2019-12-01

Optimal controllers design for voltage control in Off-grid hybrid power system

10.11591/ijece.v9i6.pp4586-4597
Harsha Anantwar , Shanmukha Sundar , B. R. Laksmikantha
Generally, for remote places extension of grid is uneconomical and difficult. Off-grid hybrid power systems (OGHPS) has  renewable energy sources integrated with conventional sources. OGHPS is very significant as it is the only source of electric supply for remote areas. OGHPS under study  has Induction generator (IG) for wind power generation, Photo-Voltaic source with inverter, Synchronous generator (SG) for Diesel Engine (DE) and load. Over-rated PV-inverter has capacity to supply reactive power.  SG of  DE  has Automatic voltage regulator for excitation control to regulate terminal voltage. Load and IG demands reactive power, causes reactive power imbalance hence voltage fluctuations in OGHPS. To manage reactive power for voltage control, two control structures with Proportional–Integral controller(PI), to control  inverter reactive power and  SG excitation by automatic voltage regulator are incorporated.  Improper tuning of controllers lead  to oscillatory and sluggish response. Hence in this test system both controllers need to be tune optimally. This paper proposes novel intelligent computing algorithm , Enhanced Bacterial forging algorithm (EBFA) for optimal reactive power controller for voltage control in OGHPS. Small signal model of OGHPS with proposed controller is  tested for different disturbances. simulation results  are compared  with conventional  method , proved the effectiveness of EBFA.
Volume: 9
Issue: 6
Page: 4586-4597
Publish at: 2019-12-01

Track the maximum power of a photovoltaic to control a cascade five-level inverter a single-phase grid-connected with a fuzzy logic control

10.11591/ijpeds.v10.i4.pp1863-1874
Arckarakit Chaithanakulwat
This research presents tracking the maximum power of a photovoltaic to control a five-level inverter, a cascade type connecting a single-phase grid-connected system with a fuzzy logic control model. Maximum power tracking control In this research, the principle of controlling the maximum current amplitude of the photovoltaic multiplied by the sine signal per unit that used as a reference current compared to the grid current. Signal comparison with the PID controller allows the creation of five levels of PWM of cascade control of five-level inverter connects single-phase grids. The results of the simulation test using the program MATLAB/Simulink to compare with the generated prototype found that the fuzzy logic principle was used to control the maximum power tracking conditions of the P&O method, when the amount of radiation light intensity decreases suddenly, making it possible to track the maximum power of the photovoltaic. Also, when the inverter connected to the grid by controlling the power angle to compare results between the simulation and the prototype — found that the current flowing into the grid increases according to the power angle control. Resulting in a nearby waveform, sine wave and an out of phase angle to the grid voltage because the system is in the inverter mode, and the harmonic spectrum of the grid currently has total harmonic distortion (THD) is reduced as an indication of the proposed system can be developed and applications.
Volume: 10
Issue: 4
Page: 1863-1874
Publish at: 2019-12-01

Overlapping issues and solutions in data visualization techniques

10.11591/ijeecs.v16.i3.pp1600-1608
Nur Diana Izzati Husin , Nur Atiqah Sia Abdullah
The tremendous growth of big data has caused the data visualization process becomes more complex and challenging, and yet, data is expected to be increased from time to time. With these massive and complex data, it is getting harder for the data analyst to interpret or read the data in order to gain new knowledge or information. Therefore, it is important to visualize these data using different techniques. However, there are many remaining issues in data visualization techniques. These issues make the data visualization a big challenge to the data analyst. The most common issue in data visualization techniques is the overlapping issue. This paper reviews the overlapping issues in multidimensional and network data visualization techniques. The existing solutions are also reviewed and discussed in term of advantages and disadvantages. This paper concludes the advantages of the overlapping issues and solutions, before discussing their drawbacks. This paper suggests the color-based approach, relocation, and reduction of data sets to solve the overlapping issues.
Volume: 16
Issue: 3
Page: 1600-1608
Publish at: 2019-12-01

Performance analysis of LMS based control algorithm for power quality improvement in three phase grid connected system for linear/non-linear load

10.11591/ijpeds.v10.i4.pp1944-1950
Mohmmad Ahmad , Sheeraz Kirmani
This paper presents the adaptive filtering based least mean square controlalgorithm for distribution static compensator (DSTATCOM) in three-phasegrid tied system for linear/non-linear load, to solve the power qualityproblems caused by solid-state equipment and devices. This is shown that theactive component weights obtained from the load currents in the LMSadaptive filter are used to produce the reference currents and subsequentlyproduces the switching pulses for VSC of the compensator. The completecircuit along with the adaptive technique and diode bridge rectifier type nonlinear load is simulated in Matlab/Simulink software. Initially the circuit wassimulated for a three phase linear inductive load. Later it was simulated for arectifier load connected at PCC with a disconnection of the load of any phasefor a short duration of time. It is concluded that the harmonics are foundwithin the limit. The harmonics and power results for both types of loads arecompared in a tabular form. Hence this three phase system withDSTATCOM improves the power quality in the three-phase distributionnetwork therefore, serves to provide harmonics reduction, load balancing andregulating the terminal voltage at the point of common coupling (PCC).
Volume: 10
Issue: 4
Page: 1944-1950
Publish at: 2019-12-01

Power compensation for vector-based current control of a modular multilevel converter (MMC) based STATCOM

10.11591/ijpeds.v10.i4.pp1781-1796
Abdurrahman Umar Lawan , S. Babani , A. Abdulkarim , G. S. Shehu , Y. Jibril M , I. S. Madugu
This paper studies the suitability of a vector based current control which is mostly employed for its faster response in the reactive current applications of static compnesators (STATCOMs). The current control is mostly achieved using proportional-integral (PI) controllers because of  the advantage of their good tracking and small variations. However, due to the dependency of PI controllers on the modular multilevel converter (MMC) system dynamics, performance variations arise during steady-state STATCOM non-ideal operations. This paper presents an improved MMC based STATCOM control with a d-q compensation algorithm added to the vector based current control. The algorithm is derived to tackle the effects of the dynamics of the MMC and the STATCOM ideal variations without the use of any additional controller. The control is achieved by providing a power compensation in the d,q-axis which injects currents at the input of the PI controllers in order to improve the steady-state performance of the STATCOM control.
Volume: 10
Issue: 4
Page: 1781-1796
Publish at: 2019-12-01

A study on the effectiveness of coping with test anxiety program based on cognitive-behavioral approach

10.11591/ijere.v8i4.20316
Fulya Türk , Ayşe Nur Katmer
The purpose of this study is to examine the impact of the program for coping with test anxiety based on the cognitive-behavioral approach on the levels of test anxiety, irrational thoughts, coping levels and academic self-efficacy perceptions of adolescents in the 8th grade. The study was performed as a semi-experimental study based on pre-test and post-test model with an experimental group and a control group. There were 32 students studying in the 8th grade in Kilis during the 2018-2019 school year participated in the study. While a seven-session Coping with Test Anxiety program based on Cognitive-Behavioral approach was applied to the students in the experimental group, no study was conducted with the control group. The Mann-Whitney U Test, Friedman Test, and Wilcoxon Signed-Rank Test were used in the analyses of data obtained from the study. According to study results, it can be said that the program for coping with test anxiety based on the cognitive-behavioral approach was significantly effective in the levels of test anxiety, irrational beliefs and active and avoidant coping levels of the adolescents while it was not effective in academic self-efficacy perceptions and negative avoidant coping levels.
Volume: 8
Issue: 4
Page: 666-675
Publish at: 2019-12-01

Torque ripple minimization of PMBLDC motor using simple boost inverter

10.11591/ijpeds.v10.i4.pp1714-1723
Krishnakumar Vengadakrishnan , N Madhanakkumar , P Pugazhendiran , C Bharatiraja , V Sriramkumar
This paper proposes the implementation of simple boost circuit incorporated in inverter fed Brushless DC (BLDC) motor drive to boost the performance of torque. BLDC motor becoming subtle because of its performance. But the motor performance is inferior due to the voltage source inverter fed operation of BLDC motor which initiates torque ripple during commutation. Here the usage of Switched Boost Inverter (SBI) which minimizes the storage elements (passive elements), more active element and introduces shoot through mode during commutation as like Z-source inverter.  The analyses of three phase switched boost inverter fed BLDC motor drive have been carried out. The performance of torque almost depends on the stator phase current of the motor. In BLDC motor during commutation interval, one phase loss its exact stator phase current hence it instigate ripple on the torque. The proposed method focuses two intentions to reduce the torque ripple. The first intension is to operate the BLDC motor at 180ᵒ electrical conduction mode, second intension is to introduce the shoot through interval to boost the dc link voltage so as to maintain the stator phase current control which leads to suppress the torque ripple during commutation.  The validation of the proposed SBI based BLDC motor control is demonstrated both by MATLAB/Simulink and Field programmable gate array (FPGA) controller-SPARRTAN III processor. The experimental results of the developed SBI based BLDC motor drive is working over a wide speed range with minimal torque ripple compared to the normal PWM based inverter control.
Volume: 10
Issue: 4
Page: 1714-1723
Publish at: 2019-12-01

A novel region selection approach of SVPWM for a three-level NPC inverter used in electric vehicle

10.11591/ijpeds.v10.i4.pp1705-1713
Debanjan Roy , Sanatan Kumar , Madhu Singh
This paper confers an investigation of a space vector modulation based control strategy of induction motor using a three-level inverter for electric vehicle application. The proposed controller uses a simple v/f control with a novel SVPWM technique. A new method for region selection of SVPWM for a multilevel inverter is implemented for the closed-loop system. Previously the region selection procedure was not considered by most of the researcher in the literature for developing the PWM algorithm. This approach is based on some algebraic equations. The remarkable point here is that it is identical to all the remaining sectors. Hence calculation complexity reduces by making it a simpler implementation. This method can be applied to any number of levels. The potency of the proposed controller is validated through the MATLAB/SIMULINK environment. The performance of the overall system is inspected through transient and steady-state analysis. The neutral point balance of the 3L NPC inverter is established by adopting proper switching sequences.
Volume: 10
Issue: 4
Page: 1705-1713
Publish at: 2019-12-01

An automatic lexicon generation for indonesian news sentiment analysis: a case on governor elections in Indonesia

10.11591/ijeecs.v16.i3.pp1555-1561
Media A Ayu , Sony Surya Wijaya , Teddy Mantoro
Sentiment analysis has been popularly used in analyzing data from the internet.  One of the techniques used is lexicon based sentiment analysis.  Generating lexicon is not an easy process, and lexicon in Bahasa Indonesia is rarely available.  This paper proposes an automatic lexicon generation in Bahasa Indonesia for sentiment analysis purpose.  Experiments were performed using the generated lexicon for doing sentiment analysis on Indonesian political news about the 2018 governor election in three provinces in Indonesia. The conducted experiments show promising results where it can predict the candidate’s rank, the election winner, and the percentage of votes for each candidate with better accuracy than the previous work which used manually generated lexicon.
Volume: 16
Issue: 3
Page: 1555-1561
Publish at: 2019-12-01

English for specific technical and engineering academic purposes: An analysis on ESL practitioners’ challenges

10.11591/ijere.v8i4.20300
Nor Yazi Khamis , Azwin Arif Abdul Rahim , Supyan Hussin
The facilitation of English for Specific Engineering Academic Purposes approach at Malaysian technical and engineering tertiary institutions is an effort to revitalise the pedagogical methods of ESL learning and communication skills at the institutions. A close examination on the ESL practitioners’ context has indicated a critical gap between the diversified requirements of skills and sound pedagogical models to determine the practitioners’ quality. In understanding the necessity of the approach, this study aims to explore and investigate the challenges faced by the practitioners in facilitating the approach. The study comprised data gathered from semi structured interviews of 14 ESL experts and an online survey on 42 ESL practitioners in technical and engineering fields. Interview questions for the experts were developed to find out about the challenges and competencies to overcome the hurdles. A self-assessed instrument with a five-Likert scale of importance on the competencies was used to gauge the practitioners’ view onn the approach. Frequencies and percentages, and Braun and Clarke’s (2006) six-stage method of thematic analysis were used to analyse the data. Findings from the both inquiries revealed several challenges which led to the necessity of wider knowledge and understanding of the approach and the prevalent of specific competencies for the practitioners in overcoming the challenges. The practitioners’ competency was substantially indispensable because it could affect their learners’ interest in learning the skills as well as in understanding the content subject.quality agencies to review and specify the requirement and guideline for ESL practitioners specifically those at technical and engineering tertiary institutions.
Volume: 8
Issue: 4
Page: 699-704
Publish at: 2019-12-01
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