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31,456 Article Results

Predicting fertilizer treatment of maize using decision tree algorithm

10.11591/ijeecs.v20.i3.pp1427-1434
Nusrat Jahan , Rezvi Shahariar
Machine learning approaches are progressively successful in image based analysis such as different diseases prediction as well as level of risk assessment. In this paper, image based data analysis with machine learning technique was applied to fertilizer treatment of maize. We address this issue as our country depend on agricultural field rather than others. Maize has a bright future. To predict fertilizer treatment of maize dataset was comprised of ground coverage region which highlights the green pixels of a maize image. For calculating green pixels from an image we used “Can Eye” tool. The achievement of machine learning approaches is highly dependent on quality and quantity of the dataset which is used for training the machine for better classification result. For this perseverance, we have collected images from the maize field directly. Then processed those images and classified the data into four classes (Less Nitrogen=-N, Less Phosphorus=-P, Less Potassium=-K and NPK) to train our machine using decision tree algorithm to predict fertilizer treatment. We have got 93% classification accuracy for decision tree. Finally, the outcome of this paper is fertilizer treatment of a maize field based on the ground cover percentage, and we implemented this whole paper work using an android platform because of the availability of android mobile phone throughout the world.
Volume: 20
Issue: 3
Page: 1427-1434
Publish at: 2020-12-01

ZVS based on dead-time analysis of three port half bridge converters

10.11591/ijpeds.v11.i4.pp1936-1944
Phuong Vu , Manh Linh Nguyen , Viet Phuong Pham
In this research, the zero-voltage switching (ZVS) of the GaN FETs-based high frequency three-port half-bridge converter (TPHBC), which is capable of interfacing a renewable energy source, an energy storage and a load is discussed. To achieve ZVS, which plays a key role in power loss reduction of the high switching frequency converters, not only the parasitic elements but also the dead-time between two switches in one converter arm must be taken into account. This research gives a detail analysis about the influence of the dead-time on the ZVS condition. Based on the analysis, a minimum dead-time which guarantees not only the ZVS but also the safe operation of the converter is obtained. Simulations in various load condition of the TPHBC are carried out to verify the validity and effectiveness of the proposed method.
Volume: 11
Issue: 4
Page: 1936-1944
Publish at: 2020-12-01

Development of software defect prediction system using artificial neural network

10.11591/ijaas.v9.i4.pp284-293
Olatunji B. L. , Olabiyisi S. O. , Oyeleye C. A. , Sanusi B. A. , Olowoye A. O. , Ofem O. A.
Software testing is an activity to enable a system is bug free during execution process. The software bug prediction is one of the most encouraging exercises of the testing phase of the software improvement life cycle. In any case, in this paper, a framework was created to anticipate the modules that deformity inclined in order to be utilized to all the more likely organize software quality affirmation exertion. Genetic Algorithm was used to extract relevant features from the acquired datasets to eliminate the possibility of overfitting and the relevant features were classified to defective or otherwise modules using the Artificial Neural Network. The system was executed in MATLAB (R2018a) Runtime environment utilizing a statistical toolkit and the performance of the system was assessed dependent on the accuracy, precision, recall, and the f-score to check the effectiveness of the system. In the finish of the led explores, the outcome indicated that ECLIPSE JDT CORE, ECLIPSE PDE UI, EQUINOX FRAMEWORK and LUCENE has the accuracy, precision, recall and the f-score of 86.93, 53.49, 79.31 and 63.89% respectively, 83.28, 31.91, 45.45 and 37.50% respectively, 83.43, 57.69, 45.45 and 50.84% respectively and 91.30, 33.33, 50.00 and 40.00% respectively. This paper presents an improved software predictive system for the software defect detections.
Volume: 9
Issue: 4
Page: 284-293
Publish at: 2020-12-01

Highway wind power energy assessment of Al-Durra highway street in Baghdad, Iraq

10.11591/ijpeds.v11.i4.pp2055-2061
Adnan Ahmed Abdul Raheem , Wadhah Esmaeel Ibraheem
In certain spots on the planet which have less attainable of utilizing enormous breeze power plants, the expressway wind vitality can be utilized to help little loads in the main grids. Interstates road lighting for instance of that heaps that is expending a great deal of vitality and cost every year. When the vitality that originates from vehicles development along the highway avenues can be taken in thought, this paper has examined the outcomes if moment vehicles wind speed during 24 hours per day. 24 hours, brief interim of vehicles wind speeds have been estimated by utilizing anemometer put in the road. A vertical pivot wind turbine (VAWT) has been proposed to be utilized in this task. All venture regulation has been simulated by utilizing Opendss program; it can support time series simulation. The outcomes demonstrated that the undertaking is possible to be utilized in Al-Durra Highway Street. The normal breeze speed of moving vehicles is 4.7 m/s which can deliver 67.3 watt by the proposed turbine. The got energy saw that it as contributed to be utilized by the maingrid during the day time. All the demonstrated bends of the outcomes speak to the Iraq grid support by diminishing the main demand and operational expenses too.
Volume: 11
Issue: 4
Page: 2055-2061
Publish at: 2020-12-01

PID optimal control to reduce energy consumption in DC-drive system

10.11591/ijpeds.v11.i4.pp2164-2172
Hari Maghfiroh , Muhammad Nizam , Supriyanto Praptodiyono
The control system that is widely used in industry is PID (Proportional Integral Derivative). Almost 90% of industries still use PID control systems because of its simplicity, applicability, and reliability. However, the weakness of PID is that it takes a long time to tune. PID control with good performance and low energy consumption can be achieved using GA tuning with the appropriate objective function. The contribution of this paper is to propose the implementation of LQR control in the form of PID using GA tuning with LQR objective function. The proposed algorithm was implemented both in the simulation and hardware which is a mini conveyor with a DC motor. The result shows that the proposed algorithm is better in both IAE and energy consumption compared with other PID tuning, Ziegler–Nichols (ZN), and GA with IAE objective function. Compared with PID ZN, it has IAE and energy reduction by 2.76% and 16.07% respectively. Although its performance is lower than the LQR, it has other advantages that use fewer sensors. The other advantage of the proposed method is, PID is more familiar using. Therefore, it easy to be implemented in the existing system without a lot of changes.
Volume: 11
Issue: 4
Page: 2164-2172
Publish at: 2020-12-01

Improved dead-time elimination method for three-phase power inverters

10.11591/ijpeds.v11.i4.pp1759-1766
Raef Aboelsaud , Ahmed Ibrahim , Alexander G. Garganeev , Ivan V. Aleksandrov
In real inverters' operations, it is essential to insert delay time in the pulses provided to the inverter switches to protect the DC link against the short circuits. From this situation, the dead time phenomenon is introduced that causes undesirable performance and distortion of the output signal. Previously, researchers have proposed various schemes for compensating or eliminating dead-time. In this paper, a new dead-time elimination (DTE) scheme is proposed with a guarantee algorithm to eliminate dead-time and overcome the issues produced at the zero-currents-crossing point (ZCC). This method does not require additional hardware or filters to determine the polarity of the output current, and its principle is very simple to implement. The developed DTE method completely removes the dead-time issues on the magnitude and phase of the output voltage, and avoid the problems which can be induced around the ZCC. The results confirm the effectiveness and safety of this method.
Volume: 11
Issue: 4
Page: 1759-1766
Publish at: 2020-12-01

Optimal configuration of hybrid PV-generator (diesel/GPL) for a decentralized production of electricity in Algeria

10.11591/ijpeds.v11.i4.pp2038-2045
Amara Mohamed , Zablah Abdelkader , Bouanane Abdelkrim
The absence of electricity in rural areas is one of the major challenges faced by many developing countries like Algeria. This work has been devoted to the design of an off-grid renewable hybrid power system for a rural village in the region of Tindouf located in south Algeria. The main objective of this study is to determine the optimum size of the hybrid power system able to fulfill the requirements of 709 kWh/day primary load with 66 kW peak load for a remote area of 230 households. This study is based on simulation and optimization of a (PV-Diesel) and (PV-GPL) hybrid system with a technical-economic analysis. Simulation results showed that electrifying using a PV/GPL generator hybrid system is more advantageous when compared to the PV/diesel generator hybrid system as it has lower operating costs and emissions. The comparison is based on per unit cost of electrical energy production, operating cost of conventional fossil fuel-based energy sources and pollutants gases reduction.
Volume: 11
Issue: 4
Page: 2038-2045
Publish at: 2020-12-01

Automatic recognition of the digital modulation types using the artificial neural networks

10.11591/ijece.v10i6.pp5871-5882
Saad S. Hreshee
As digital communication technologies continue to grow and evolve, applications for this steady development are also growing. This growth has generated a growing need to look for automated methods for recognizing and classifying the digital modulation type used in the communication system, which has an important effect on many civil and military applications. This paper suggests a recognizing system capable of classifying multiple and different types of digital modulation methods (64QAM, 2PSK, 4PSK, 8PSK, 4ASK, 2FSK, 4FSK, 8FSK). This paper focuses on trying to recognize the type of digital modulation using the artificial neural network (ANN) with its complex algorithm to boost the performance and increase the noise immunity of the system. This system succeeded in recognizing all the digital modulation types under the current study without any prior information. The proposed system used 8 signal features that were used to classify these 8 modulation methods. The system succeeded in achieving a recognition ratio of at least 68% for experimental signals on a signal to noise ratio (SNR = 5dB) and 89.1% for experimental signals at (SNR = 10dB) and 91% for experimental signals at (SNR = 15dB) for a channel with Additive White Gaussian Noise (AWGN).
Volume: 10
Issue: 6
Page: 5871-5882
Publish at: 2020-12-01

Wind turbine doubly-fed induction generator defects diagnosis using rotor currents lissajous curves

10.11591/ijpeds.v11.i4.pp2083-2090
Sara Kharoubi , Lamiaa El Menzhi
Nowadays, inverters are power electronics devices used in the renewable energy conversion systems. Therefore, the continuity of service of power converter has been a major concern. In this paper, a technique for diagnosing multiple open switch faults in three phase voltage inverters feeding Doubly Fed Induction Generator DFIG is presented. It is based on the so-called the Lissajous curves of DFIG rotor currents. For this purpose, the modeling of a non-defected wind conversion system based on mathematic model created in Matlab Simulink is firstly presented, after that, an indirect stator field vector-oriented control is applied to obtain the wind system performance. Finally, rotor currents Lissajous curves are analyzed in case of a non-defected and defected inverter. Simulation results show the effectiveness of the proposed method
Volume: 11
Issue: 4
Page: 2083-2090
Publish at: 2020-12-01

Development of an assessment tool for mathematical reading, analytical thinking and mathematical writing

10.11591/ijere.v9i4.20505
Nuttida Kesorn , Putcharee Junpeng , Metta Marwiang , Kissadapan Pongboriboon , Keow Ngang Tang , Mark Wilson
The main objective of this research was to develop and validate the quality of an assessment tool for evaluating the mathematical reading, analytical thinking, and mathematical writing skills of fourth-grade students. We randomly selected 222 fourth grade students across multiple schools of varying sizes to take the assessment. Multidimensional Random Coefficients Multinomial Item Response Model was applied to validate the quality of the developed assessment tool. A design-based research methodology was adopted to develop the assessment tool encompassing four phases as follows: 1) analyze how students solve mathematical problems; 2) develop the assessment tool; 3) validation of the tool; and 4) reflection. The results of this research indicate that the assessment tool consisting of 19 items and two dimensions is a reliable and valid metric to measure mathematical reading, mathematical writing and analytical ability of fourth graders. The Likelihood-Ratio test showed that the multidimensional model fits better in comparison to the unidimensional model. It can be concluded that each item is qualified to assess the students and relevant to the developed dimensional examination structure.
Volume: 9
Issue: 4
Page: 955-962
Publish at: 2020-12-01

Guiding principles and practices of peace education followed in secondary schools of Mizoram

10.11591/ijere.v9i4.20738
Lokanath Mishra , Tushar Gupta , Abha Shree
The significance of peace education is universally recognized for a safe and prospering future for the world at school level as peace education aims at equipping the future citizens with necessary knowledge, attitude and skills so that they would acknowledge and respect all kinds of diversity and understand human dignity. This paper is based on an empirical research aiming how far guiding principles and practices of peace education followed in secondary schools of Mizoram. The concept of peace education, guiding principles of peace education and practices on peace-related activities being followed in the secondary schools of Mizoram were explored. The study revealed that peace education was not being taught as a separate subject. Peace education component was infused in the existing curriculum and also was being taught through co-curricular and extra-curricular activities. Besides, teachers must reflect in their behavior all the guiding principles of peace. They should encourage the students for critical thinking, reasoning, develop awareness on societal problems and issues, broaden their outlook, concentrate on studies, and to be associated with various activities. In Mizoram, students’ unions and church organizations used to play a prominent role in shaping and moulding the character of the people starting from the early stage of life which ultimately benefits the society and the nation. However, in the context of rapid change in social structure and modernization process, there is need for inculcating the values of peace for which schools have to play important role.
Volume: 9
Issue: 4
Page: 1096-1101
Publish at: 2020-12-01

Arts-based assessment in educational settings

10.11591/ijere.v9i4.20346
Jiří Kantor , Xianmei Lei
Arts-based assessment is an objective measure that incorporates artistic experience or artistic materials into the assessment process and enables to get unique contributions about pupils. The current survey focused on arts-based assessment in the Czech Republic to explore the following issues: how did arts therapists assess suitability of therapy for pupils; which areas of therapeutic process were evaluated and what made the process of arts-based assessments specific in educational institutions. A mixed methods study used a statistical analysis of a survey with “The Practice in Arts Therapies questionnaire” (n = 142 arts therapists) and an inductive analysis of qualitative interviews (n = 10 arts therapists). Results revealed that arts-based assessments were more likely to be characterized by qualitative nonstandardized assessments based on observation, analysis of artistic products/artistic process and reflexive techniques and are related to prevalent humanistic orientation. Educational environment influenced the assessments mainly in the content and organization of the process. On this basis, there is a need to support the usage of standardized arts-based assessments and to develop standards for the implementation of arts-based assessment suitable for educational institutions. More advanced training in this area should be included into professional courses and further education of arts therapists.
Volume: 9
Issue: 4
Page: 947-954
Publish at: 2020-12-01

Investigation of low voltage DC microgrid using sliding mode control

10.11591/ijpeds.v11.i4.pp2030-2037
D. Sattianadan , G. R. Prudhvi Kumar , R. Sridhar , Kuthuru Vishwas Reddy , Bhumireddy Sai Uday Reddy , Panga Mamatha
As the requirement of power increases, the use of renewable energy resources has become prominent. The power collected from these energy resources needs to be converted using AC-DC or DC-DC converters. The control of DC-DC converters is a complex task due to its non-linearity in the converter introduced by the external changes such as source voltage, cable resistance and load variations. Converters are to be designed to obtain a well stabilized output voltage and load current for variable source voltages and load changes. Droop control method is the most abundantly used technique in controlling the parallel converters. The major limitations of the conventional droop control technique are circulating current issues and improper load sharing. The proposed work is to resolve these issues by integrating Sliding Mode Controller (SMC) with the converter in order to enhance the performance of DC microgrid. The entire control system was designed by taking the output voltage error as the control variables. Similarly, droop control with PI and PID were also performed and all these techniques were simulated and compared using MATLAB/Simulink. The experimental results show that the proposed sliding mode controller technique provides good overall performance and is suitable against variable voltage and load changes.
Volume: 11
Issue: 4
Page: 2030-2037
Publish at: 2020-12-01

Effects of kernels and the proportion of training data on the accuracy of SVM sentiment analysis in lecturer evaluation

10.11591/ijai.v9.i4.pp734-743
Daniel Febrian Sengkey , Agustinus Jacobus , Fabian Johanes Manoppo
Support vector machine (SVM) is a known method for supervised learning in sentiment analysis and there are many studies about the use of SVM in classifying the sentiments in lecturer evaluation. SVM has various parameters that can be tuned and kernels that can be chosen to improve the classifier accuracy. However, not all options have been explored. Therefore, in this study we compared the four SVM kernels: radial, linear, polynomial, and sigmoid, to discover how each kernel influences the accuracy of the classifier. To make a proper assessment, we used our labeled dataset of students’ evaluations toward the lecturer. The dataset was split, one for training the classifier, and another one for testing the model. As an addition, we also used several different ratios of the training:testing dataset. The split ratios are 0.5 to 0.95, with the increment factor of 0.05. The dataset was split randomly, hence the splitting-training-testing processes were repeated 1,000 times for each kernel and splitting ratio. Therefore, at the end of the experiment, we got 40,000 accuracy data. Later, we applied statistical methods to see whether the differences are significant. Based on the statistical test, we found that in this particular case, the linear kernel significantly has higher accuracy compared to the other kernels. However, there is a tradeoff, where the results are getting more varied with a higher proportion of data used for training.
Volume: 9
Issue: 4
Page: 734-743
Publish at: 2020-12-01

Courses timetabling based on hill climbing algorithm

10.11591/ijece.v10i6.pp6558-6573
Abdoul Rjoub
In addition to its monotonous nature and excessive time requirements, the manual school timetable scheduling often leads to more than one class being assigned to the same instructor, or more than one instructor being assigned to the same classroom during the same slot time, or even leads to exercise in intentional partialities in favor of a particular group of instructors. In this paper, an automated school timetable scheduling is presented to help overcome the traditional conflicts inherent in the manual scheduling approach. In this approach, hill climbing algorithms have been modified to transact hard and soft constraints. Soft constraints are not easy to be satisfied typically, but hard constraints are obligated. The implementation of this technique has been successfully experimented in different schools with various kinds of side constraints. Results show that the initial solution can be improved by 72% towards the optimal solution within the first 5 seconds and by 50% from the second iteration while the optimal solution will be achieved after 15 iterations ensuring that more than 50% of scientific courses will take place in the early slots time while more than 50% of non-scientific courses will take place during the later time's slots.
Volume: 10
Issue: 6
Page: 6558-6573
Publish at: 2020-12-01
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