International Journal of Electrical and Computer Engineering (IJECE)

Journal Information
ISSN / EISSN : 20888708 / 20888708
Current Publisher: Institute of Advanced Engineering and Science (10.11591)
Total articles ≅ 2,703
Current Coverage
SCOPUS
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Thuc Minh Bui, Nguyen Thi Phuong Loan, Phan Xuan Le, Nguyen Doan Quoc Anh, Anh Tuan Le, Le Van Tho
International Journal of Electrical and Computer Engineering (IJECE), Volume 10, pp 3501-3507; doi:10.11591/ijece.v10i4.pp3501-3507

Abstract:
The traditional white LED product established with a single chip and a single phosphor results in a low color rendering index (CRI). The upgrade of LED package is comprised of two chips and one phosphor material and gives the higher CRI while keeping high luminous efficiency. Based on previous findings, the research paper performs the application of the two chips and two phosphors to enhance the color tunability of LEDs with different amounts and intensities of the two employed phosphors. Additionally, a color design model is built to serve the purpose of bettering the color fine-tuning of the white-light LED module. The maximum value of the difference between the measured CIE 1931 color coordinates and that of the simulated model is approximately 0.0063 around the 6600 K correlated color temperature (CCT). From the results, this study offers a quick approach to achieve the color fine tuning of a white-light LED module with a high CRI and luminous efficiency.
Muhammad Haddin, Arief Marwanto, Agus Suprajitno, Munaf Ismail
International Journal of Electrical and Computer Engineering (IJECE), Volume 10, pp 3441-3450; doi:10.11591/ijece.v10i4.pp3441-3450

Abstract:
In laboratory works, the error in measurement, reading the measurring devices, similarity of experimental data and lack of understanding of practicum materials are often found. These will lead to the inacurracy and invalid in data obtanined. As an alternative solution, application of fuzzy logic to the data acquisition system using a web server can used. This research focuses on the design of data acquisition systems with the target of reducing the error rate in measuring experimental data on the laboratory. Data measurement on laboratory practice module is done by taking the analog data resulted from the measurement. Furthermore, the data are converted into digital data via arduino and stored on the server. To get valid data, the server will process the data by using fuzzy logic method. The valid data are integrated into a web server so that it can be accessed as needed. The results showed that the data acquisition system based on fuzzy logic is able to provide recommendation of measurement result on the lab works based on the degree value of membership and truth value. Fuzzy logic will select the measured data with a maximum error percentage of 5% and select the measurement result which has minimum error rate.
Morad Hajji, Mohammed Qbadou, Khalifa Mansouri
International Journal of Electrical and Computer Engineering (IJECE), Volume 10, pp 3743-3750; doi:10.11591/ijece.v10i4.pp3743-3750

Abstract:
The ontologies are progressively imposing themselves in the field of knowledge management. While the manual construction of an ontology is by far the most reliable, this task has proved to be too tedious and expensive. To assist humans in the process of building an ontology, several tools have emerged proposing the automatic or semi-automatic construction of ontologies. In this context, Text2Onto has become one of the most recognized ontology learning tools. The performance of this tool is confirmed by several research works. However, the development of this tool is based on Princeton WordNet (PWN) for English. As a result, it is limited to the processing of textual resources written in English. In this paper, we present our approach based on JWOLF, a Java API to access the free WordNet for French that we have developed to adapt this tool for the construction of ontologies from corpus in French. To evaluate the usefulness of our approach, we assessed the performance of the improved version of Text2Onto on a simplistic corpus of French language documents. The results of this experiment have shown that the improved version of Text2Onto according to our approach is effective for the construction of an ontology from textual documents in the French language.
Moses E. Emetere, Testimony Gabe-Oji, Durodola B.M.
International Journal of Electrical and Computer Engineering (IJECE), Volume 10, pp 3819-3825; doi:10.11591/ijece.v10i4.pp3819-3825

Abstract:
The challenges facing solar power grid system in Africa is huge. Most salient of these challenges is the inefficiency of the photovoltaic (PV) panel to sustain its output for more than a year. Certainly, the harsh weather condition in the region can be said to be one of the reasons for the shortcoming that was earlier highlighted. In this research, bio-filters were suggested to filter the harmful radiation hitting the PV panel. The bio-filter is made up of copper coated hibiscus extract. The hibiscus extract was done using ethanol solution. It was observed that the bio-filter was able to filter the some of the harmful radiation as expected. The quantity of the harmful solar radiation was not estimated because of the limitations of the equipment used for the research. It is recommended that this highlighted shortcoming of the research should be taken further to ascertain i.e. in percentage the harmful radiation that has been filtered by the bio-filter during the experiment.
Basanagouda Patil, S. B. Karajgi
International Journal of Electrical and Computer Engineering (IJECE), Volume 10, pp 3350-3357; doi:10.11591/ijece.v10i4.pp3350-3357

Abstract:
This paper is an attempt to develop a multi-facts device placementin deregulated power system using optimization algorithms. The deregulated power system is the recent need in the power distribution as it has many independent sellers and buyers of electricity. The problem of deregulation is the quality of the power distribution as many sellers are involved. The placement of FACTS devices provides the solution for the above problem. There are researches available for multiple FACTS devices. The optimization algorithms like Particle Swarm Optimization (PSO) and Cuckoo Search Algorithm (CSA) are implemented to place the multiple FACTS devices in a power system. MATLAB based implementation is carried out for applying Optimal Power Flow (OPF) with variation in the bus power and the line reactance parameters. The cost function is used as the objective function. The cost reduction of FACTS as well as generation by placement of different compensators like, Static Var Compensator (SVC), Thyristor Controlled Series Compensator (TCSC) and Unified Power Flow Controller (UPFC). The cost calculation is done on the 3-seller scenario. The IEEE 14 bus is taken here as 3-seller system.
MahdiE Khorashadizade, Morteza Jouyban, Mohammadreza Asghari Oskoei
International Journal of Electrical and Computer Engineering (IJECE), Volume 10, pp 3725-3733; doi:10.11591/ijece.v10i4.pp3725-3733

Abstract:
In neural networks, simultaneous determination of the optimum structure and weights is a challenge. This paper proposes a combination of teaching-learning based optimization (TLBO) algorithm and a constructive algorithm (CA) to cope with the challenge. In literature, TLBO is used to choose proper weights, while CA is adopted to construct different structures in order to select the proper one. In this study, the basic TLBO algorithm along with an improved version of this algorithm for network weights selection are utilized. Meanwhile, as a constructive algorithm, a novel modification to multiple operations, using statistical tests (MOST), is applied and tested to choose the proper structure. The proposed combinatorial algorithms are applied to ten classification problems and two-time-series prediction problems, as the benchmark. The results are evaluated based on training and testing error, network complexity and mean-square error. The experimental results illustrate that the proposed hybrid method of the modified MOST constructive algorithm and the improved TLBO (MCO-ITLBO) algorithm outperform the others; moreover, they have been proven by Wilcoxon statistical tests as well. The proposed method demonstrates less average error with less complexity in the network structure.
Vladimir M. Levin, Ammar A. Yahya
International Journal of Electrical and Computer Engineering (IJECE), Volume 10, pp 3862-3868; doi:10.11591/ijece.v10i4.pp3862-3868

Abstract:
Ensuring reliable operation of power transformers as part of electric power facilities is assigned to the maintenance and repair system, whose important components are diagnostics and monitoring of the technical condition. Monitoring allows you to answer the question of whether the transformer abnormalities and how to do they manifest, while diagnostics allow determining the nature, the severity of the problem, determine the cause and possible consequences. The article presents the results of the authors ' research on creating an algorithm for adaptive control of the technical condition of power transformers using diagnostic and monitoring data. The developed algorithm implements the decision-making procedure for ensuring the reliable operation of oil-filled transformer equipment as part of the substations of electric power facilities. The decision-making procedure is based on the method of statistical Bayesian identification the states of a transformer based on the results of dissolved gas analysis (DGA) in oil. The method is characterized by high reliability of recognizing defects in the transformer and the ability to adapt the probabilities of the obtained solutions to the newly received diagnostic information. These results illustrate the effectiveness of the developed approach and the possibility of its application in the operation of oil-filled transformer equipment.
Ahmad Qasim Mohammad Alhamad
International Journal of Electrical and Computer Engineering (IJECE), Volume 10, pp 3660-3671; doi:10.11591/ijece.v10i4.pp3660-3671

Abstract:
The objective of the study is to find out the factors which affect the acceptance of E-learning among students and how the students’ purpose of using E-learning is determined by these factors. The research was based on the Technology Acceptance Model (TAM). The researcher developed a questionnaire to gather data from a sample of 366 university students who actively used the E-learning system. According to the results of the study, subjective norms, perceived usefulness, perceived ease of use, enjoyment, and accessibility” are the vital predictors behind the intention of students for using E-learning systems. This indicates that extended TAM is applicable in the UAE. The results show that policymakers and education developers should take E-learning system seriously since it can be opted not just as a technological solution but also as a learning platform for students belonging to a distant area. The results present practical implications for education developers, policymakers and practitioners in devising useful plans to implement E-learning systems.
Solichudin Solichudin, Aris Triwiyatno, Munawar A. Riyadi
International Journal of Electrical and Computer Engineering (IJECE), Volume 10, pp 3596-3604; doi:10.11591/ijece.v10i4.pp3596-3604

Abstract:
Autonomous Guided Vehicle is a mobile robot that can move autonomously on a route or lane in an indoor or outdoor environment while performing a series of tasks. Determination of the shortest route on an autonomous guided vehicle is one of the optimization problems in handling conflict-free routes that have an influence on the distribution of goods in the manufacturing industry's warehouse. Pickup and delivery processes in the distribution on AGV goods such as scheduling, shipping, and determining the route of vehicle with short mileage characteristics, is very possible to do simulations with three AGV units. There is a windows time limit on workstations that limits shipping. The problem of determining the route in this study is considered necessary as a multi-vehicle route problem with a time window. This study aims to describe the combination of algorithms written based on dynamic programming to overcome the problem of conflict-free AGV routes using time windows. The combined approach of the Dijkstra and Floyd-Warshall algorithm results in the optimization of the closest distance in overcoming conflict-free routes.
Ambika Prasad Hota, Sivkumar Mishra
International Journal of Electrical and Computer Engineering (IJECE), Volume 10, pp 3375-3383; doi:10.11591/ijece.v10i4.pp3375-3383

Abstract:
In this paper, a branch exchange based heuristic network reconfiguration method is proposed for obtaining an optimal network in a deregulated power system. A unique bus identification scheme is employed which makes the load flow and loss calculation faster due to its reduced search time under varying network topological environment. The proposed power loss allocation technique eliminates the effect of cross-term analytically from the loss formulation without any assumptions and approximations. The effectiveness of the proposed reconfiguration and loss allocation methods are investigated by comparing the results obtained by the present approach with that of the existing “Quadratic method” using a 33-bus radial distribution system with/without DGs.
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