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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 64 Documents
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Search results for , issue "Vol 25, No 3: March 2022" : 64 Documents clear
Smart monitoring system of composite plates for structural health monitoring using electromechanical impedance approach Tanabalou, Jayachitra; Priyadarshini, Rashmi
Indonesian Journal of Electrical Engineering and Computer Science Vol 25, No 3: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v25.i3.pp1375-1382

Abstract

The damage detection in structural health monitoring was performed in glass fiber composite plates and carbon nanotude composite plates. Electromechanical Impedance technique was used for identification of damage using lead zirconate titanate patches. Impact on composite structure was created artificially by drilling a hole in composite structures. Bolt stiffnesss were detected by loosening of bolts and nuts in the composite structures. Corrosion occurs due to the aging and change of environmental conditions. The novelty in this paper is the use of corroded bolts in composite structures and identified the effects of corrosion and compared the output signatures with potentiostat. In this paper common deformation detection in composite plates, measurement of bolt stiffness and effects of corrosion has been performed. Measurement of Impedance at different frequencies were normalized with the undamaged composite structures and considered as the reference signatures. These results have been analyzed and verified with the output from potentiostat.
Performance analysis comparison of optical burst switching networks' contention resolution techniques Abdullah Naji, Laila A. Wahab; Eltahir, Ibrahim Khider; Al-Shargabi, Mohammed; Haider, Adel Sallam
Indonesian Journal of Electrical Engineering and Computer Science Vol 25, No 3: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v25.i3.pp1539-1548

Abstract

Optical burst switching (OBS) is a transporting network for the optical internet in the years ahead vision. As OBS depends on statistical multiplexing, the effect of contention resolution is the main issue to achieve a low probability losing of burst. Basically, there are different ways to resolve contentions in the OBS networks like wavelength conversion, deflection routing, burst segmentation and optical buffering using fiber delay lines. Burst segmentation and deflection routing as well as fiber delay lines technologies, are discussed among the various accessible conflict resolution techniques in this study. However, the main aim of this study is to demonstrate that, the performance of fiber delay line (FDL) is better than other techniques to resolve contention by comparing the performance of these different schemes based on burst losing probabilities and the data handling capability. To evaluate the performance, appropriate mathematical formulae were used. Under the MATLAB environment, the performance was measured based on the probability of burst loss versus incoming traffic (load). The outcomes suggest that deflection routing outperforms fiber delay lines and burst segmentation in the OBS network in terms of resolve the contention. 
Mobile recommender system based on smart city graph Khalid Khoshnaw, Karwan Hoshyar; Abdulkarim Shwany, Zardasht Abdulaziz; Mustafa, Twana; Ismail, Shayda Khudhur
Indonesian Journal of Electrical Engineering and Computer Science Vol 25, No 3: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v25.i3.pp1771-1776

Abstract

Mobile recommender systems have changed the way people find items, purposes of intrigue, administrations, or even new companions. The innovation behind mobile recommender systems has developed to give client inclinations and social impacts. This paper introduces a first way to build a mobile recommendation system based on smart city graphs that appear topic features, user profiles, and impacts acquired from social connections. It exploits graph centrality measures to expand customized recommendations from the semantic information represented in the graph. The graph shows and chooses graph algorithms for computing chart centrality that is the center of the mobile recommender system are exhibited. Semantic ideas, for example, semantic transcendence and likeness measures, are adjusted to the graph model. Usage challenges confronted to settle execution issues are additionally examined.
Efficacy of chili plant diseases classification using deep learning: a preliminary study Rozlan, Suhana; Hanafi, Marsyita
Indonesian Journal of Electrical Engineering and Computer Science Vol 25, No 3: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v25.i3.pp1442-1449

Abstract

Plant disease classification using deep learning techniques is a popular research area due to the numerous opportunities for introducing advance and robust classifiers. Nevertheless, classifying chilli plant diseases accurately from images under uncontrolled environment and various imaging conditions remains unsolved due to the lack of chilli disease image datasets. In this study, the efficacy of three high-performance deep learning algorithms, namely VGG16, InceptionV3, and EfficientNetB0, in classifying three types of chilli leaves diseases, namely upward curling, mosaic/mottling, and the bacterial spot, is demonstrated. These methods are popularly used for other plant disease classifications due to their effectiveness. The experiments were performed on the 3,000 chilli plant disease images collected from three different field environments in Selangor, Malaysia. The images were captured with a complex background and various illuminations, angles, and distances to reflect the real-life scenarios. The complexity of the collected images was created based on the taxonomic information of chilli leaves diseases and the unavailability of chilli disease images under various imaging conditions in the publicly available plant disease databases. Experimented using appropriate specifications, the models demonstrated outstanding performance with more than 95% accuracy with the highest accuracy of 98.83% by InceptionV3.
Cellular automata model for emergent properties of pressure flow in single nephron compliance tubule Reddy Kesu, Siva Manohar; Ramasangu, Hariharan
Indonesian Journal of Electrical Engineering and Computer Science Vol 25, No 3: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v25.i3.pp1227-1235

Abstract

Numerical analysis plays a vital role in the computational modeling of a nephron. The solutions from numerical methods exhibit regular, period doubling, and irregular oscillations as global behavior. A single nephron compliance tubular model with transport mechanism and autoregulatory mechanism has been developed using the cellular automata framework in this paper. Global emergent behavior of the biological system has been captured using cellular automata framework. An ultradiscretization technique is used to convert the governing partial differential equations of a single nephron compliance tubular model to cellular automata local rules. The global emergent behaviors from the local cellular automata rules have been compared with the reported experimental analysis. The cellular automata framework in biological modeling is an emerging perspective to model global functional behaviors.
An optimal proportional integral derivative tuning for a magnetic levitation system using metamodeling approach Abdalhadi, Abdualrhman; Wahid, Herman; Hanafi Burhanuddin, Dirman
Indonesian Journal of Electrical Engineering and Computer Science Vol 25, No 3: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v25.i3.pp1356-1366

Abstract

A magnetic levitation system (MLS) is a complex nonlinear system that requires an electromagnetic force to levitate an object in the air. The electromagnetic field is extremely sensitive to noise which can cause the acceleration on the spherical object, leading it to move into the unbalanced region. This paper presents a comparative assessment of controllers for the magnetic levitation system using proportional integral derivative (PID) controller based optimal tuning. The analysis was started by deriving the mathematical model followed by the implementation of radial basis function neural network (RBFNN) based metamodel. The optimal tuning of the PID controller has offered better transient responses with the improvement of overshoot and the rise time as compared to the standard optimization methods. It is more robust and tolerant as compared to gradient descent method. The simulation output using the radial basis based metamodel approach showed an overshoot of 9.34% and rise time of 9.84 ms, which are better than the gradient descent (GD) and conventional PID methods. For the verification purpose, a Simscape model has been developed which mimic the real model. It was found that the model has produced about similar performance as what has been obtained from the MATLAB simulation.
The effectiveness of discrete hermite wavelet filters technique in digital image watermarking M. Abduldaim, Areej; Abdulrahman, Asma Abdulelah; Tahir, Fouad Shaker
Indonesian Journal of Electrical Engineering and Computer Science Vol 25, No 3: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v25.i3.pp1392-1399

Abstract

In this work, new discrete wavelets were derived Hermite polynomials for obtained discrete hermite wavelet transformation (DHWT), and their efficiency for use in image processing is demonstrated by proving the realization of important theorems. Moreover, the role of the new and proposed waveforms in their effective effect in placing the watermark with the color image is clarified, and a program was created using MATLAB software by creating a subprogram for constructing the new wavelet and proving its efficiency with an analytic image. The process is repeated using DHWT to analyze the image. The color image has been subjected to various attacks after which the watermark is retrieved from the image after comparing it with the proposed algorithm and it has proven its power faster and better than the previously suggested methods. The final conclusion shows that using new wavelets DHWT better peak signal of noise ratio (PSNR)s can be obtained and that the proposed algorithm fills in better the lack of awareness of the watermark and its strength under different attacks.
The measurement set representation of the body posture based on group theory Deng, Changjian; Xie, Xiaona
Indonesian Journal of Electrical Engineering and Computer Science Vol 25, No 3: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v25.i3.pp1297-1307

Abstract

The foundation of measurement is the representation of measurement set. The paper proposes a body posture measurement set representation method based on concepts of group, fields, and ring. It attempts to explore the intrinsic relationship among numerous different measurement set. The attitude sensor is used to measure the attitude, and the measurement set representation and processing are analyzed based on the lie group theory in the paper. In the paper, the paper maps body posture data into image, and it is easier to identify the error of posture measurement data. Meanwhile, the simulation and test results show that the method can represent body posture data and detect it’s defects easily.
Investing in Malaysian healthcare using technique for order preference by similarity to ideal solution Azhar, Farah Waheeda; Rahim, Zati Halwani Abd; Fahami, Norasyikin Abdullah; Abdul Rahim, Siti Khatijah Nor; Karim, Hilwana Abd
Indonesian Journal of Electrical Engineering and Computer Science Vol 25, No 3: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v25.i3.pp1723-1730

Abstract

The purpose of this research is to assess the financial performance of Malaysian Healthcare companies using the multi-criteria and decision-making method, namely technique for order preference by similarity to ideal solution (TOPSIS). The financial data of 20 companies in 2019 are retrieved from Datastream. For many years, ratios of financial aspects have been employed to analyse the companies’ financial performance. However, some studies indicate that the traditional ratio analysis is insufficient to measure a firm's financial performance. Thus, this paper employs the technique for order preference by similarity to ideal solution, or simply TOPSIS, to gain a more comprehensive result. The TOPSIS approach involves seven steps, utilizing significant ratios in financial aspect such as debt ratio, debt to equity ratio, current ratio, return on equity (ROE), acid-test ratio, earnings per share (EPS), and return on asset (ROA), as the criteria to evaluate the companies' financial performances. The result of this study ranks 20 healthcare companies in Malaysia and makes recommendations for investment-worthy companies to the investors, allowing the maximization of investment benefits. The results from this research are crucial for investors, companies, market participants, public and private policymakers to enhance their investment decision-making.
Efficient electrocardiogram signal compression algorithm using dual encoding technique Rijab, Khalida Shaaban; Hussien, Mohammed Abdul Redha
Indonesian Journal of Electrical Engineering and Computer Science Vol 25, No 3: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v25.i3.pp1529-1538

Abstract

In medical practices, the storage space of electrocardiogram (ECG) records is a major concern. These records can contain hours of recording, necessitating a large amount of storage space. This problem is commonly addressed by compressing the ECG signal. The proposed work deal with the ECG signal compression method for ECG signals using discrete wavelet transform (DWT). The DWT appeared as powerful tools to compact signals and shows a signal in another time-frequency representation. It is very appropriate in the elimination & removal of redundancy. The ECG signals are decomposed using DWT. After that, the coefficients that result from DWT are threshold depending on the energy packing efficiency (EPE) of the signal. The compression is achieved by the quantization and dual encoding techniques (run-length encoding & Huffman encoding). The dual encoding technique compresses data significantly. The result of the proposed method shows better performance with compression ratios and good quality reconstructed signals. For example, the compression ratio (CR)=20.6, 10.7 and 11.1 with percent root mean square difference (PRD)=1%, 0.9% and 1% for using different DWT (Haar, db2 and FK4) Respectively.

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