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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Indonesian Journal of Electrical Engineering and Computer Science
Kismet Anak Hong Ping
Universiti Malaysia Sarawak
Computer Science & IT

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Overset grid generation with inverse scattering technique for object and crack detection Deanne Anak Edwin; Shafrida Sahrani; Kismet Anak Hong Ping
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 1: February 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i1.13187

Abstract

This paper presents the forward backward time stepping (FBTS) technique with finite difference time domain (FDTD) method and overset grid generation (OGG) method was applied for the reconstruction of object and crack detection. Object and crack detection is widely used in structural health monitoring (SHM) application especially in civil structure to detect the buried object and also cracks. The proposed numerical approach has been validated by investigating different kind of ratio of grid size between the main mesh and sub-mesh. Then, the proposed numerical approach is implemented in the analysis of the detection of objects such as concrete blocks and cracks underground. Here, the numerical errors between the actual result and simulated result had been calculated by using relative error. It is shown that the proposed approach has 5.22% error and nearer to the actual value.
Image Reconstruction Based on Combination of Inverse Scattering Technique and Total Variation Regularization Method Nor Haizan Jamali; Kismet Anak Hong Ping; Shafrida Sahrani; Dayang Azra Awang Mat; Mohamad Hamiruce Marhaban; Mohd Iqbal Saripan; Toshifumi Moriyama; Takashi Takenaka
Indonesian Journal of Electrical Engineering and Computer Science Vol 5, No 3: March 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v5.i3.pp569-576

Abstract

The Forward-Backward Time-Stepping (FBTS) had proven its potential to reconstruct images of buried objects in inhomogeneous medium with useful quantitative information about its size, shape, and locality. The Total Variation regularization method was incorporated with the FBTS algorithm to deal with the ill-posedness or ill-conditionedness of the inverse problem. The effectiveness of the proposed technique is confirmed by numerical simulations. The numerical method was carried out on a simple object detection through FBTS with and without TV regularization method. The detection and reconstruction of relative permittivity and conductivity of the simple object have shown an improvement as TV regularization method applied whereas it smoothed the vibrations of the images and gave a better estimation of the image’s boundaries.
Optimizing gula apong production with an IoT-based temperature monitoring system Shafrida Sahrani; Dayang Azra Awang Mat; Dyg Norkhairunnisa Abang Zaidel; Kismet Anak Hong Ping
Indonesian Journal of Electrical Engineering and Computer Science Vol 34, No 3: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v34.i3.pp1509-1518

Abstract

Determining the quality of gula apong is crucial to optimizing its production, with cooking temperature being a key factor affecting both taste and shelf life. The gula apong industry faced challenges due to the lack of reliable real-time temperature monitoring methods during the cooking process. Traditional approaches were inefficient and inaccurate, leading to difficulties in maintaining consistent product quality and meeting market demands. This highlights the necessity of monitoring the temperature throughout each cooking process. This research aims to develop an internet of things (IoT)- based cooking temperature monitoring system to enhance quality control measures in the production of gula apong. The IoT prototype collects temperature data from the thermocouple sensor, then transmits it to cloud storage through a Wi-Fi communication network, utilizing the Node-RED platform for data processing and analysis. Data obtained from the on-site measurement shows that the optimal temperature for producing standard-quality gula apong is approximately around 165 °C. The recommended boiling temperature for Nipah sap is 140 °C. This IoT system can reduce the cooking time of gula apong to 3 hours from the traditional 4 to 6 hours. Utilizing the data acquired from this study helps the producers not only maintaining the quality of gula apong but also reduce the cooking time and cost.
Co-Authors Dayang Azra Awang Mat Deanne Anak Edwin Dyg Norkhairunnisa Abang Zaidel Mohamad Hamiruce Marhaban Mohd Iqbal Saripan Nor Haizan Jamali Shafrida Sahrani Shafrida Sahrani Takashi Takenaka Toshifumi Moriyama