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International Journal of Electrical and Computer Engineering
Published by Institute of Advanced Engineering and Science
ISSN : 20888708     EISSN : 27222578     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics 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.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 6,301 Documents
 408   409   410   411   412 
Fuzzy optimization strategy of the maximum power point tracking for a variable wind speed system Belkacem, Belkacem; Bouhamri, Noureddine; Koridak, Lahouari Abdelhakem; Allali, Ahmed
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 4: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i4.pp4264-4275

Abstract

Wind power systems are gaining more and more interests; in order to diminish dependence on fossil fuels. In this paper, we present a variable speed-wind energy global system based on a synchronous generator with permanent magnetic (PMSG). The major goal of this study is to track the maximum power that is present in the turbine. An examination of control methods to extract the MPPT point, from a wind energy conversion system (WECS) under variable speed situations is presented. An intelligent controller based on the fuzzy logic control (FLC) is proposed for regulating permanent magnetic synchronous generator (PMSG) output power, in order to improve tracking performance. The principle of this maximum power point tracking (MPPT) algorithm consists in looking for an optimal operating relation of the maximum power, then tracking this last. We simulated our system with MATLAB-Simulink software. The found results will be debated to elucidate performance of the global system.
Resource placement strategy optimization for smart grid application using 5G wireless networks Chafi, Saad-Eddine; Balboul, Younes; Mazer, Said; Fattah, Mohammed; El Bekkali, Moulhime
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 4: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i4.pp3932-3942

Abstract

With the evolution of 5G-network, wireless mobile networks are growing to take a strong stand in attempts to achieve ubiquitous large-scale acquisition, connectivity and processing. Smart-grids are among the critical areas that can benefit from the capabilities of the 5G-network, especially internet of things (IoT) applications such as massive machine-type-communications or ultra-reliable low-latency communications. A distributed cloud-services use the cloud, fog and edge computing infrastructures and applications to take advantage of every available resource including network equipment and connected objects to optimize cost, energy, and latency depending on the planned optimization criteria. In this article, we present smart-grid solution based on cloud-services and 5G-network, then we study the integration of smart-grid services in the cloud based on: placement in the cloud and in the end-device, and finally we introduce our proposed solution based on Intelligent placement strategy. The scenarios are evaluated by the iFogSim simulator, and the analyzed results compare the standard cloud placement, edge placement and our intelligent placement with regard to the optimization of the energy consumption, latency, and network usage. The findings show that cloud energy consumption can be substantially reduced using Intelligent Placement while respecting the potential central processing unit (CPU) processing power-limit for each IoT-device used and network constraints in smart-grid.
Establishing a cyclic schedule for nurse in the health unit Natheer Alkallak, Isra; Zedan Shaban, Ruqaya
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i3.pp2876-2884

Abstract

This research presents the interleaving two approaches. These are intelligence's ideas as well as heuristic ‎technique as 8-puzzle and sudoku grid to solve the nurse rostering. The research proposed algorithm ‎to assign shifts cyclically. It is considered by three shifts in one day to 9 nurses, each nurse has 8 days work with ‎a holiday in the cyclically scheduling. The task appeared the allocation of nursing staff in health unit management ‎theoretically. There are three shifts which cover 24 hours. The shifts are early, late, and night. This algorithm ‎simulated the shifts through the directions of blank’s move in 8-puzzle with the methodology of sudoku grid with ‎hard constraints should be met at all times. In our solution do on two goals first, we create a ‎schedule that meets all the tough constraints and guarantees fairness. The second objective is to try to verify as many ‎of the soft constraints as possible, by shifting and rotating while maintaining the soft constraints. The approach ‎was implemented as a simulation, and a satisfactory result was demonstrated. experimental effects are extremely ‎convenient and versatile to find appropriate nursing rostering schedule, rather than using manual techniques. The code developed to simulate it in MATLAB.‎
Algorithm for solving fractional partial differential equations using homotopy analysis method with Pade approximation Kais Ismail Ibraheem; Heba Shuker Mahmmood
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i3.pp3335-3342

Abstract

In recent years nonlinear problems have several methods to be solved and utilize a well-known analytic tools such as homotopy analysis method. In general, homotopy analysis method had gain a wide focus and improvement especially in typical nonlinear problem. The aim of this paper is to use homotopy method of analysis to solve partial differential equation in addition to improve method’s efficiency. The method in this paper is to apply approximation to Pade’ approach to obtain sufficient efficiency. As a result, the improvement has been verified by solving two cases beside a mean value comparison of the homotopy analysis method’s squared error with the improved form.
Plasmonic hybrid terahertz photomixer of graphene nanoantenna and nanowires Reiam Al-Mudhafar; Hussein Ali Jawad
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i3.pp2711-2720

Abstract

Due to their attractive properties, silver nanowires (Ag-NWs) are newly used as nanoelectrodes in continuous wave (CW) THz photomixer. However, since these nanowires have small contact area, the nanowires fill factor in the photomixer active region is low, which leads to reduce the nanowires conductivity. In this work, we proposed to add graphene nanoantenna array as nanoelectrodes to the silver nanowires-based photomixer to improve the conductivity. In addition, the graphene nanoantenna array and the silver nanowires form new hybrid nanoelectrodes for the CW-THz photomixer leading to improve the device conversion efficiency by the plasmonic effect. Two types of graphene nanoantenna array are proposed in two separate photomixer configurations. These are the graphene nanodisk (GND) array and the graphene bow-tie nanoantenna (GNA) array. The photomixer active region is simulated using the computer simulation technology (CST) Studio Suite® for three optical wavelengths: 780 nm, 810 nm, and 850 nm. From the results, we found that the electric field in the active region is enhanced by 4.2 and 4.8 times for the aforementioned configurations, respectively. We also showed that the THz output power can be enhanced by 310 and 530 times, respectively.
A modified residual network for detection and classification of Alzheimer’s disease Faten Salim Hanoon; Abbas Hanon Hassin Alasadi
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 4: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i4.pp4400-4407

Abstract

Alzheimer's disease (AD) is a brain disease that significantly declines a person's ability to remember and behave normally. By applying several approaches to distinguish between various stages of AD, neuroimaging data has been used to extract different patterns associated with various phases of AD. However, because the brain patterns of older adults and those in different phases are similar, researchers have had difficulty classifying them. In this paper, the 50-layer ResNet is modified by adding extra convolution layers to make the extracted features more diverse. Besides, the activation function (ReLU) was replaced with (Leaky ReLU) because ReLU takes the negative parts of its input, drops them to zero, and retains the positive parts. These negative inputs may contain useful feature information that could aid in the development of high-level discriminative features. Thus, Leaky ReLU was used instead of ReLU to prevent any potential loss of input information. In order to train the network from scratch without encountering the issue of overfitting, we added a dropout layer before the fully connected layer. The proposed method successfully classified the four stages of AD with an accuracy of 97.49 % and 98 % for precision, recall, and f1-score.
Impact of financial inclusion on sustainability of enterprises in Saudi Karima Hassan Mohamed Soliman; Hassnaa Attia Hamed Mohamed; Amal Essam AbdulKareem; Nagwa Ibrahim Albadaly; Nada Abdrabalredha Al Sabti; Lamia Yousif Khalaf Aldossary
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i3.pp2894-2899

Abstract

This research measures the relationship between financial inclusion and the sustainability of financing small and medium enterprises in the Kingdom of Saudi Arabia, and the methodology of the research is based on the use of data at the level of companies, where there are 267 thousand small and medium enterprises in the Kingdom, 68% of which are managed by expatriates. The number of micro-enterprises reached 1.5 million, in addition to 230 thousand small enterprises and 37 thousand medium enterprises, all representing 99% of the number of enterprises in the Kingdom in mid-2015, and about 996 thousand small enterprises with a localization rate of less than 13.37%. From 2009 to 2019. Through the adoption of statistical analyzes, the effect of financial inclusion on the availability of financing for small and medium enterprises was analyzed and studied. This research showed that there are positive results for the financial inclusion of credit available to listed small and medium companies, and that promoting financial inclusion helps in the survival and sustainability of small and medium companies in the Kingdom of Saudi Arabia.
Undergraduate engineering students employment prediction using hybrid approach in machine learning Vinutha Krishnaiah; Yogisha Hullukere Kadegowda
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i3.pp2783-2791

Abstract

The knowledge discovery from student’s data can be very useful in predicting the employment under different categories. The machine learning is helping in this regard up to the great extent. In this paper, a hybrid model of machine learning has proposed to predict the jobs categories, students may get in their campus placement. The considered groups of students are from undergraduate courses from engineering stream having the semester’s scheme in their academic. The mapping of jobs has predicted based on their previous seven semesters marks as well as their personality index. The proposed hybrid model consists of three different model based on multilayer feed forward architecture, radial basis function neural network and K-means based clustering method. The proposed model provided the relative chances of available each job category with high accuracy and consistency.
NAGA: multi-blockchain based decentralized platform architecture for cryptocurrency payment Dendej Sawarnkatat; Sucha Smanchat
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 4: August 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i4.pp4067-4078

Abstract

Paying for electronic commerce products with cryptocurrencies is an increasingly popular method. However, the situations where a seller expects one specific cryptocurrency as a payment while a buyer only possesses another, inevitably create inconvenience to the buyer, which may lead to cancellation of purchase. In this paper, we propose a light-weighted software architecture of a payment system called NAGA platform that works with a number of crypto blockchain networks to support cross-cryptocurrency payments where buyers can pay in one currency, and the seller automatically receives another of his/her choice. This minimizes the complexity and inconvenience of the buyer, leading to an increase in sales and revenues of the electronic commerce system. With the built-in crypto exchange, crosscryptocurrency payment can be processed with real-time exchange rates that enables both buyers and sellers to receive cryptocurrency of their preferred choices.
Modern drowsiness detection techniques: a review Sarah Saadoon Jasim; Alia Karim Abdul Hassan
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i3.pp2986-2995

Abstract

According to recent statistics, drowsiness, rather than alcohol, is now responsible for one-quarter of all automobile accidents. As a result, many monitoring systems have been created to reduce and prevent such accidents. However, despite the huge amount of state-of-the-art drowsiness detection systems, it is not clear which one is the most appropriate. The following points will be discussed in this paper: Initial consideration should be given to the many sorts of existing supervised detecting techniques that are now in use and grouped into four types of categories (behavioral, physiological, automobile and hybrid), Second, the supervised machine learning classifiers that are used for drowsiness detection will be described, followed by a discussion of the advantages and disadvantages of each technique that has been evaluated, and lastly the recommendation of a new strategy for detecting drowsiness.

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