International Journal of Electrical and Computer Engineering
International Journal of Electrical and Computer Engineering (IJECE, ISSN: 2088-8708, a SCOPUS indexed Journal, SNIP: 1.001; SJR: 0.296; CiteScore: 0.99; SJR & CiteScore Q2 on both of the Electrical & Electronics Engineering, and Computer Science) is the official publication of the Institute of Advanced Engineering and Science (IAES). The journal is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the global world.
Articles
6,301 Documents
Analytical assessment of torque and stator currents of an induction motor due to voltage sags
Vijaya Huchche;
Nita Patne
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 4: August 2023
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijece.v13i4.pp3613-3621
Voltage sag is a frequently encountered phenomenon in a power system to which many three phase induction motors are directly connected. This paper presents a simple analytical method for calculation of net electro-magnetic torque and stator currents of an induction motor subjected to symmetrical as well as unsymmetrical sags in supply voltage. This work presents an innovative path to compute net electro-magnetic torque and increase in stator currents for all seven types of sags using the well-known symmetrical component theory. Such a simple method and expressions used in this paper are not reported in the literature reviewed so far. The computation is further extended for different load conditions while varying the symmetrical sag magnitude. The simplicity of analytical assessment of loading effect on electro-magnetic torque from no-load to full-load condition for all sag types is presented. The outcome of the study was verified by imitating the environments for various types of sag in MATLAB/Simulink. The observations are that the average output torque of a motor decreases and ripple in power increases during unsymmetrical sags.
Modeling and simulation of the two-tank system within a hybrid framework
Hanen Yaakoubi;
Joseph Haggège
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 4: August 2023
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijece.v13i4.pp4222-4233
Most real-world dynamical systems are often involving continuous behaviors and discrete events, in this case, they are called hybrid dynamical systems (HDSs). To properly model this kind of systems, it is necessary to consider both the continuous and the discrete aspects of its dynamics. In this paper, a modeling framework based on the hybrid automata (HA) approach is proposed. This hybrid modeling framework allows combining the multi-state models of the system, described by nonlinear differential equations, with the system’s discrete dynamics described by finite state machines. To attest to the efficiency of the proposed modeling framework, its application to a two-tank hybrid system (TTHS) is presented. The TTHS studied is a typical benchmark for HDSs with four operating modes. The MATLAB Simulink and Stateflow tools are used to implement and simulate the hybrid model of the TTHS. Different simulations results demonstrate the efficiency of the proposed modeling framework, which allows us to appropriately have a complete model of an HDS.
A new algorithm to enhance security against cyber threats for internet of things application
Radwan S. Abujassar;
Mohamed Sayed;
Husam Yaseen
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 4: August 2023
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijece.v13i4.pp4452-4466
One major problem is detecting the unsuitability of traffic caused by a distributed denial of services (DDoS) attack produced by third party nodes, such as smart phones and other handheld Wi-Fi devices. During the transmission between the devices, there are rising in the number of cyber attacks on systems by using negligible packets, which lead to suspension of the services between source and destination, and can find the vulnerabilities on the network. These vulnerable issues have led to a reduction in the reliability of networks and a reduction in consumer confidence. In this paper, we will introduce a new algorithm called rout attack with detection algorithm (RAWD) to reduce the affect of any attack by checking the packet injection, and to avoid number of cyber attacks being received by the destination and transferred through a determined path or alternative path based on the problem. The proposed algorithm will forward the real time traffic to the required destination from a new alternative backup path which is computed by it before the attacked occurred. The results have showed an improvement when the attack occurred and the alternative path has used to make sure the continuity of receiving the data to the main destination without any affection.
Efficiency analysis trees as a tool to analyze the quality of university education
Rohemi Zuluaga-Ortiz;
Alicia Camelo-Guarin;
Enrique Delahoz-Domínguez
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 4: August 2023
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijece.v13i4.pp4412-4421
This research aims to design a quality management tool in education. The methodology comprises two stages: first, the construction of the decision tree model, and second, the efficiency evaluation. For the validation and development of this research, the data modelled corresponds to the standardized exams for higher education in Colombia of ninety industrial engineering degrees. Among the results, the citizenship skills (CC_PRO) generate the most significant contribution to the model. On the other hand, the written communication competence (CE_PRO) generates a minor contribution to the model. In addition, the most relevant result of the research is the design and validation of a tool to estimate educational efficiency using the efficiency analysis tree (EAT) and data enveloping analysis (DEA) models. The proposed tool allows the generation of specific targets to increase the level of efficiency of universities through the nodes of the decision tree, which contributes to the spectrum of knowledge on models for educational management. In conclusion, this research presents a tool for the management of educational processes through the analysis of efficiency using EAT, estimating the efficiency of universities and setting the foundations for forecasting future efficiency scenarios.
A new linear quadratic regulator model to mitigate frequency disturbances in the power system during cyber-attack
Muhammad Musleh Uddin;
Kazi Rafiqul Islam;
Md. Monirul Kabir
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 4: August 2023
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijece.v13i4.pp3631-3640
This paper proposes a new model integrating a linear quadratic regulator (LQR) controller to mitigate frequency disturbances in the power system during cyber-attack, called as linear quadratic regulator to mitigate frequency disturbances (LQRMFD). As we know, most of the existing models have a common problem with achieving significant performances in mitigating dynamic response parameters, such as frequency deviation and settling time. However, the key aspect of LQRMFD is to mitigate the above issues with remarkable performance improvements. An uncommon and stable power system model has been considered in LQRMFD first to reach such a goal. A numerical problem has been solved to derive a certain characteristic equation, where the Routh-Hurwitz array criterion is applied for determining the stability of such a power system. After that, a state-space equation is developed from the power system to activate the LQR controller. Thus, achieving diversity and eliminating the redundancy of the power system considered can be obtained in LQRMFD. To evaluate the performance of LQRMFD, a series of experiments was conducted using the MATLAB-Simulink tool. Rigorous comparisons were also made among the results of LQRMFD, self-implemented and existing models. Furthermore, a detailed analysis was reported among those models to find the performance improvement of LQRMFD in percentage.
Conducted electromagnetic interference mitigation in super-lift Luo-converter for electric vehicle applications
Srinivasan Kalaiarasu;
Sudhakar Natarajan
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 4: August 2023
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijece.v13i4.pp3838-3846
In this article, a digital chaotic pulse width modulation (DCPWM)-dependent electromagnetic interference (EMI) noise attenuating procedure has been implemented. With the aid of a field programmable gate array (FPGA), a randomized carrier frequency modulation with a fixed duty cycle has been generated through chaotic carrier frequency, and this process is called DCPWM. Conducted EMI suppression is achieved in a 200 kHz, 40 W elementary positive output super lift Luo (EPOSLL) converter using the DCPWM technique. The results are compared and validated with periodic PWM over DCPWM in simulation and hardware with electromagnetic compatibility (EMC) standards. Besides, 9 dBV (2.81 V) of conducted EMI noise has been minimized in the DCPWM approach against periodic pulse width modulation method for the EPOSLL converter in electric vehicles applications.
Virtual machine placement in cloud using artificial bee colony and imperialist competitive algorithm
Seyyed-Mohammad Javadi-Moghaddam;
Zahra Dehghani
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 4: August 2023
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijece.v13i4.pp4743-4751
Increasing resource efficiency and reducing energy consumption are significant challenges in cloud environments. Placing virtual machines is essential in improving cloud systems’ performance. This paper presents a hybrid method using the artificial bee colony and imperialist competitive algorithm to reduce provider costs and decrease client expenditure. Implementation of the proposed plan in the CloudSim simulation environment indicates the proposed method performs better than the Monarch butterfly optimization and salp swarm algorithms regarding energy consumption and resource usage. Moreover, average central processing unit (CPU) and random-access memory (RAM) usage and the number of host shutdowns show better results for the proposed model.
Potential of using photovoltaic systems to power underwater fishing lights in small-scale fishing vessel in Indonesia
I Made Aditya Nugraha;
Febi Luthfiani;
I Gusti Made Ngurah Desnanjaya;
Jhon Septin Mourisdo Siregar;
Lebrina Ivantry Boikh
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 4: August 2023
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijece.v13i4.pp3686-3694
The limited stock and uncertainty of fuel prices as a source of driving the main engine and generator on ships greatly affect the lives of fishermen in Indonesia. Even though there is a policy in the form of assistance from the government in the form of subsidies, fishermen still feel doubtful about being able to get such assistance. To overcome this and with the potential of solar energy in Indonesia, as well as a manifestation of appropriate technology and blue economy policies, a photovoltaic system is made that is combined with underwater lights as a fishing tool. Activities are carried out by measuring environmental conditions and the energy that comes out of the PV system and giving questionnaires to the fishermen. The results showed that the use of PV systems combined with underwater lights in fishing activities gave good results. The result of electrical energy that can be generated is 393.24 Wh/day and can meet the ship’s electricity needs for 4 days. This result is also supported by the Wilcoxon test results for technical, economic, environmental, health, and safety aspects with a significance value of 0.001 (p<0.05).
Infinite horizon fuzzy optimal control: optimality does not imply asymptotic stability
Samir Teniou;
Khaled Belarbi
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 4: August 2023
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijece.v13i4.pp3913-3923
In this paper, novel stability result for discrete-time infinite horizon optimal control using fuzzy objective functions is presented. For this class of control, the fuzzy goals and the fuzzy constraints introduced in the fuzzy objective function handle the constraints placed on both the state and the control vectors. We analyze the asymptotic stability of the equilibrium for the infinite horizon fuzzy optimal control law using the minimum aggregation operator. We show that the infinite horizon control with the minimum aggregation operator does not guarantee the asymptotic stability of the equilibrium in general. This is done by deriving an analytical solution of the control law for a simple linear system using a fuzzy dynamic programming approach. An example that shows the novel asymptotic stability result of the equilibrium for discrete-time infinite horizon optimal control with fuzzy objective function problem is given.
Linear regression and R-squared correlation analysis on major nuclear online plant cooling system
Ahmad Azhari Mohamad Nor;
Mohd Sabri Minhat;
Norsuzila Ya’acob;
Murizah Kassim
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 4: August 2023
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijece.v13i4.pp3998-4008
The primary cooling system is an integral part of a nuclear reactor that maintains reactor operational safety. It is essential to investigate the effects of the cooling system parameter before implementing predictive maintenance techniques in the reactor monitoring system. This paper presents a linear regression and R-squared correlation analysis of the nuclear plant cooling system parameter in the TRIGA PUSPATI Reactor in Malaysia. This research examines the primary cooling system's temperature, conductivity, and flow rate in maintaining the nuclear reactor. Data collection on the primary coolant system has been analyzed, and correlation analysis has been derived using linear regression and R-squared analysis. The result displays the correlation matrix for all sensors in the primary cooling system. The R-squared value for TT5 versus TT2 is 89%, TT5 versus TT3 is 94%, and TT5 against TT4 is 66% which shows an excellent correlation to the linear regression. However, the conductivity sensor CT1 does not correlate with other sensors in the system. The flow rate sensor FT1 positively correlates with the temperature sensor but does not correlate with the conductivity sensor. This finding can help to better develop the predictive maintenance strategy for the reactor monitoring program.