Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Filter Icon

Filters article

Years

FAQ Arrow
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

29,922 Article Results

Social and emotional learning in education and care policy in Croatia

10.11591/ijere.v9i3.20495
Maja Ljubetic , Toni Maglica
Worldwide practises and then scientific research is showing that social-emotional learning represents a highly promising approach for positive development and adjustment, improvement of academic success in children and even prevention of behavioural problems. But despite these findings, there is no systematic approach in the implementation of the social-emotional learning in Croatia, and the practice of it is not yet structured and comprehensive and occurs rather occasionally and spontaneously. This paper is trying to ascertain is there a formal and legal platform for implementing social-emotional learning in the crucial documents that regulate educational and care practises in Croatia. The analysis of the documents was conducted according to the criterium of key social-emotional competencies and the associated social-emotional skills.
Volume: 9
Issue: 3
Page: 650-659
Publish at: 2020-08-01

Superconductor fault current limiter effect on the performance of doubly-fed induction generators

10.11591/ijeecs.v19.i2.pp617-626
Farzaneh Mohammadi , Mohammad Molaei
Between different wind turbine-generator configurations, one of the most accepted and highly regarded structures in the industry is the wind turbine with doubly-fed induction generator. The DFIG wind turbines are very sensitive to grid disturbances especially to voltage drop during grid faults due to relatively low power of the power converters. Fault in a power system causes voltage drop, current increase in stator and rotor coils, and over voltage in the DC shin. Several control methods have been proposed so far. A model based on power electronic instruments and superconductor theory, superconductor fault current limiter (SCFCL), has been proposed in this paper to improve domain and the attenuation time of the parameters under control such as voltage, current, and speed and voltage of the DC link against various types of faults (single-phase, two-phase, and three-phase). In addition to this, in order to compare the results with convectional models (crowbar) and study the innovation of the proposed model, a simulation of the system under two-phase fault and use of crowbar method to control the fault has been conducted using MATLAB-SIMULINK and also, the performance of the proposed method has been assessed. 
Volume: 19
Issue: 2
Page: 617-626
Publish at: 2020-08-01

Integral sliding-mode controller for maximum power point tracking in the grid-connected photovoltaic systems

10.11591/ijece.v10i4.pp4400-4415
Nour-Eddine Tariba , Naima Ikken , Ahmed Haddou , Abdelhadi Bouknadel , Hafsa El Omari , Hamid El Omari
The output power generated in the photovoltaic modules depends both on the solar radiation and the temperature of the solar cells. To maximize the efficiency of the system, it is required to monitor the maximum power point of the photovoltaic system. For this purpose, monitoring the maximum power point (MPPT) of photovoltaic systems should be as quick and accurately as possible for increasing energy production, which ultimately increases the cost-efficiency of the photovoltaic system. This paper proposes a new approach for MPPT) using the concept of the integral sliding mode controller (ISMC) to ensure fast and precise monitoring of the peak power. The performance of the ISMC is significantly influenced by the choice of the sliding surface. To assess the reliability ISMC control, the results have been compared with those of a PI controller. The results obtained are used to evaluate the performance of the ISMC strategy under different climatic conditions. Finally, the effectiveness of the proposed solution is confirmed using simulations in PSIM tools and experimental results were used to evaluate the effectiveness of the proposed approach.
Volume: 10
Issue: 4
Page: 4400-4415
Publish at: 2020-08-01

Comparative analysis of electrochemical energy storage technologies for smart grid

10.12928/telkomnika.v18i4.14039
Surender Reddy; Woosong University Salkuti
This paper presents a comparative analysis of different forms of electrochemical energy storage technologies for use in the smart grid. This paper addresses various energy storage techniques that are used in the renewable energy sources connected to the smart grid. Energy storage technologies will most likely improve the penetrations of renewable energy on the electricity network. Consequently, energy storage systems could be the key to finally replacing the need for fossil fuel with renewable energy. It is hard to evaluate the different types of energy storage techniques between themselves due to the fact that each technology could be used in a different way and are more like compliments. Subsequently, for the purposes of this paper, it is seen that the use of energy storage technologies will increase the supply, and balances out the demand for energy.
Volume: 18
Issue: 4
Page: 2118-2124
Publish at: 2020-08-01

∈φ-contraction and some fixed point results via modified ω-distance mappings in the frame of complete quasi metric spaces and applications

10.11591/ijece.v10i4.pp3839-3853
Kamaleldin Abodayeh , T. Qawasmeh , W. Shatanawi , A. Tallafha
In this Article, we introduce the notion of an ∈φ-contraction which based on modified ω-distance mappings and employ this new definition to prove some fixed point result. Moreover, we introduced an interesting example and an application to highlight the importance of our work.
Volume: 10
Issue: 4
Page: 3839-3853
Publish at: 2020-08-01

Deep learning in sport video analysis: a review

10.12928/telkomnika.v18i4.14730
Keerthana; Universiti Teknologi Malaysia Rangasamy , Muhammad Amir; Universiti Teknologi Malaysia As’ari , Nur Azmina; Universiti Teknologi Malaysia Rahmad , Nurul Fathiah; Universiti Teknologi Malaysia Ghazali , Saharudin; Universiti Teknologi Malaysia Ismail
Sport is a competitive field, where it is an element of measurement for a countries development.  Due to this reason, sport analysis has become one of the major contribution in analysing and improving the performance level of an athlete.  Video-based modality has become a crucial tool used in sport analysis by coaches and performance analysis.  There were wide variety of techniques used in sport video analysis.  The main purpose of this review paper is to compare and update review between traditional handcrafted approach and deep learning approach in sport video analysis based on human activity recognition, overview of recent study in video based human activity recognition in sport analysis and finally concluded with future potential direction in sport video analysis.
Volume: 18
Issue: 4
Page: 1926-1933
Publish at: 2020-08-01

A new approach for content-based image retrieval for medical applications using low-level image descriptors

10.11591/ijece.v10i4.pp4363-4371
Mohammed Qassim Shatnawi , Mohammad Alrousan , Suzan Amareen
Content based image retrieval (CBIR) has become an important factor in medical imaging research and is obtaining a great success. More applications still need to be developed to get more powerful systems for better image similarity matching, and as a result getting better image retrieval systems. This research focuses on implementing low-level descriptors to maximize the quality of the retrieval of medical images. Such a research is supposed to set a better result in terms of image similarity matching. In this research a system that uses low-level descriptors is introduced. Three descriptors have been developed and applied in an attempt to increase the accuracy of image matching. The final results showed a qualified system in medical images retrieval specially that the low-level image descriptors have not been used yet in the image similarity matching in the medical field.
Volume: 10
Issue: 4
Page: 4363-4371
Publish at: 2020-08-01

Design of shunt hybrid active power filter for compensating harmonic currents and reactive power

10.12928/telkomnika.v18i4.15156
Ibrahim; Universiti Kuala Lumpur (UniKL BMI) Alhamrouni , F. N.; Universiti Kuala Lumpur (UniKL BMI) Hanafi , Mohamed; Universiti Sains Malaysia Salem , Nadia H. A.; Universiti Kuala Lumpur (UniKL BMI) Rahman , Awang; Universiti Teknologi Malaysia Jusoh , Tole; Universitas Ahmad Dahlan Sutikno
For the past two decades, tremendous advancements have been achieved in the electricity industry. The usage of non-linear loads in the daily life has affected the power quality of the system and caused the presence of harmonics. To compensate the harmonic currents and reactive power in the system, the design of shunt hybrid active power filter has been proposed in this research. The design of the filter has included several control systems of instantaneous active and reactive power (p-q) theory and PI controller to investigate the performance of the filter. The robustness of the designed hybrid power filter has also been benchmarked with the other filter topologies available in literature. The hybrid power filter will combine passive power filter and active power filter configurated in shunt connection. The result of this research showed that the total harmonic distortion analyzed is below than 5% according to IEEE-519 standard requirements and reactive power is compensated proved by the increase in power factor. The shunt hybrid active power filter is designed, and simulation result is analyzed by using MATLAB-Simulink environment.
Volume: 18
Issue: 4
Page: 2148-2157
Publish at: 2020-08-01

Real power loss diminution by predestination of particles wavering search algorithm

10.11591/ijict.v9i2.pp92-99
Kanagasabai Lenin
In this work Predestination of Particles Wavering Search (PPS) algorithm has been applied to solve optimal reactive power problem. PPS algorithm has been modeled based on the motion of the particles in the exploration space. Normally the movement of the particle is based on gradient and swarming motion.  Particles are permitted to progress in steady velocity in gradient-based progress, but when the outcome is poor when compared to previous upshot, immediately particle rapidity will be upturned with semi of the magnitude and it will help to reach local optimal solution and it is expressed as wavering movement. In standard IEEE 14, 30, 57,118,300 bus systems Proposed Predestination of Particles Wavering Search (PPS) algorithm is evaluated and simulation results show the PPS reduced the power loss efficiently.
Volume: 9
Issue: 2
Page: 92-99
Publish at: 2020-08-01

Dynamic routing discovery scheme for high mobility in mobile ad hoc wireless networks

10.11591/ijece.v10i4.pp3702-3714
Haider Alani , Maha Abdelhaq , Raed Alsaqour
An innovative technology that is widely used in many applications is the Mobile Ad-hoc Network (MANET). Discovery and maintenance of routes at MANET are important issues. Within MANET, broadcasting is used to discover a path within on-demand routing protocols. Establishing and maintaining a route periodically among the nodes is the challenge that requires the transmitting of control packets across a network. This state leads to the issue of broadcasting storms. Broadcasting control packets increase control packets overhead and decrease network performance. In this paper, we proposed a scheme called AODV-Velocity and Dynamic (AODV-VD) for effective broadcast control packets. The routing protocol for the ad-hoc on-demand distance victor (AODV) is used to implement the proposed AODV-VD scheme. AODV-VD scheme reduces both the excessive route discovery control packets and network overhead. Network simulator version 2.35 (NS2.35) was used to compare the proposed AODV-VD scheme to the AODV routing protocol in terms of end-to-end latency, average throughput, packet transmission ratio and overhead ratio.
Volume: 10
Issue: 4
Page: 3702-3714
Publish at: 2020-08-01

Enhancement of student performance prediction using modified K-nearest neighbor

10.12928/telkomnika.v18i4.13849
Saja; Iraqi Commission for Computers & Informatics (IIPS-ICCI) Taha Ahmed , Rafah; Iraqi Commission for Computers & Informatics (IIPS-ICCI) Al-Hamdani , Muayad; University of Technology Baghdad Sadik Croock
The traditional K-nearest neighbor (KNN) algorithm uses an exhaustive search for a complete training set to predict a single test sample. This procedure can slow down the system to consume more time for huge datasets. The selection of classes for a new sample depends on a simple majority voting system that does not reflect the various significance of different samples (i.e. ignoring the similarities among samples). It also leads to a misclassification problem due to the occurrence of a double majority class. In reference to the above-mentioned issues, this work adopts a combination of moment descriptor and KNN to optimize the sample selection. This is done based on the fact that classifying the training samples before the searching actually takes place can speed up and improve the predictive performance of the nearest neighbor. The proposed method can be called as fast KNN (FKNN). The experimental results show that the proposed FKNN method decreases original KNN consuming time within a range of (75.4%) to (90.25%), and improve the classification accuracy percentage in the range from (20%) to (36.3%) utilizing three types of student datasets to predict whether the student can pass or fail the exam automatically.
Volume: 18
Issue: 4
Page: 1777-1783
Publish at: 2020-08-01

A review of microstrip antenna designs for TV white space applications

10.11591/ijeecs.v19.i2.pp855-863
Chamath Kalanaka Vithanawasam , Yi Lung Then , Hieng Tiong Su
A review on prominent microstrip antennas fabricated for TV White Space applications is presented. This paper will delve into some of the most notable microstrip antenna designs in this frequency band that have come up in recent years. They will be analyzed to identify their strengths and weaknesses, and feedback is provided on their perceived usefulness. These antennas are designed with specific intentions, such as being placed in areas prone to harsh weather, or for long distance communications. One of the most recent antenna types to enter mainstream discussion is the microstrip patch antenna, which can easily be altered to fit various applications. Methods of connectivity such as TV White Space are enthusiastically used in various applications pertaining to connectivity and various microstrip antennas have been designed for this purpose. A conclusion was reached on the compact shorted printed monopole antenna being the most plausible choice from the antennas that have been considered and discussed.
Volume: 19
Issue: 2
Page: 855-863
Publish at: 2020-08-01

The impact of inteprofessional education to health students’ collaborative competencies

10.11591/ijere.v9i3.20489
Desak Ketut Ernawati , Desak Ketut Indrasari Utami
One of the aims of Interprofessional education (IPE) is to foster collaboration amongst healthcare professionals. IPE has been adopted at Udayana University by involving seven health courses at Udayana University, Bali, Indonesia. These students were assigned to 49 groups which composed the seven health course students. They learned working in collaboration from cases identified in the community. The activities spanned for five semesters. At the beginning of their activities the students received interprofessional collaboration competencies attainment survey (ICCAS). The survey has been validated in the population and has two collaborative competencies, namely communication and collaboration. This was a report of ICCAS employment in Semester III dan IV of the first cohort of IPE Program at Udayana University. 138 students completed the survey in both semesters. A paired-sample t-test was conducted to compare the mean score differences of collaboration and communication in the first and second semesters of attending IPE learning. Whilst, there was no significant differences on the mean score for communication, there was a significant difference in the mean score for pre and post collaboration (94.7±9.7) and (91.0±10.8); t(130)=3.379, p=0.001. These results suggest that the collaboration competencies amongst the seven health courses students reduced after one semester attending IPE activities. These findings indicated that the study design and learning tasks should be amended to ensure students gain the most of their learning in collaboration.
Volume: 9
Issue: 3
Page: 660-664
Publish at: 2020-08-01

Source current harmonic mitigation of distorted voltage source by using shunt active power filter

10.11591/ijece.v10i4.pp3967-3977
Muhammad Ossama Mahmoud , Wael Mamdouh , Hamdy Khalil
In this paper, three-phase, four-wire shunt active power filter (SAPF) is utilized to mitigate system harmonics of distorted voltage source for unbalanced and nonlinear loads. Basically, the source voltage should be pure sinusoidal waveform to get a good mitigation of source current harmonics. In this under study system, the source voltage is assumed to be harmonic distortion non-sinusoidal voltage source. The phase locked loop (PLL) control circuit is wielded for extracting the fundamental component of the distorted source voltage to use it as an input signal to the SAPF control. Another input signal to the SAPF is the distorted load current. The SAPF control system uses (p-q) theory to calculate the optimum instantaneous current to be injected by the SAPF to mitigate the source current harmonics even the source voltage is harmonic distorted. MATLAB/SIMULINK software package is utilized to simulate the system under study. The effect of SAPF is tested when it’s used with and without the PLL control circuit. The simulation results show that, the THD of source current when using the PLL control circuit is improved to comply with the harmonic limits given in the IEEE 519-1992 and IEC 61000-4-7 standards.
Volume: 10
Issue: 4
Page: 3967-3977
Publish at: 2020-08-01

GWO-based estimation of input-output parameters of thermal power plants

10.12928/telkomnika.v18i4.12957
Osea; University of Lampung Zebua , I Made; University of Mataram Ginarsa , I Made; University of Mataram Ari Nrartha
The fuel cost curve of thermal generators was very important in the calculation of economic dispatch and optimal power flow. Temperature and aging could make changes to fuel cost curve so curve estimation need to be done periodically. The accuracy of the curve parameters estimation strongly affected the calculation of the dispatch. This paper aims to estimate the fuel cost curve parameters by using the grey wolf optimizer method. The problem of curve parameter estimation was made as an optimization problem. The objective function to be minimized was the total number of absolute error or the difference between the actual value and the estimated value of the fuel cost function. The estimated values of parameter that produce the smallest total absolute error were the values of final solution. The simulation results showed that parameter estimation using gray wolf optimizer method further minimized the value of objective function. By using three models of fuel cost curve and given test data, parameter estimation using grey wolf optimizer method produced the better estimation results than those estimation results obtained using least square error, particle swarm optimization, genetic algorithm, artificial bee colony and cuckoo search methods.
Volume: 18
Issue: 4
Page: 2235-2244
Publish at: 2020-08-01
Show 1105 of 1995

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration