Jan Lean Tai, Mohamed Thariq Hameed Sultan, Farah Syazwani Shahar
{"title":"Processing Plants Damage Mechanisms and On-stream Inspection Using Phased Array Corrosion Mapping—A Systematic Review","authors":"Jan Lean Tai, Mohamed Thariq Hameed Sultan, Farah Syazwani Shahar","doi":"10.47836/pjst.32.4.12","DOIUrl":"https://doi.org/10.47836/pjst.32.4.12","url":null,"abstract":"This review aims to study the process plant damage mechanisms published by previous research, such as general corrosion, localised corrosion, and stress corrosion cracking. This review was conducted by analysing the current application of the common inspection method and technique and focusing on the phased array ultrasonic testing application. In order to further the current study, the review seeks direction on evaluating phased array corrosion mapping techniques to detect corrosion and metal loss during plant operation and minimise the plant’s need for maintenance. This systematic literature review provides a better understanding of the current damage mechanisms and shows the possibility of an extended future study.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141804356","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Muhammad Fauzinizam Razali, Sareh Aiman Hilmi Abu Seman, Mohd Syakirin Rusdi, Siti Nuha Majiddah Abdul Aziz
{"title":"Single Deformation Occurrence During Testing of Kenaf Composite Through Momentum Trapping Modification on Split Hopkinson Pressure Bar","authors":"Muhammad Fauzinizam Razali, Sareh Aiman Hilmi Abu Seman, Mohd Syakirin Rusdi, Siti Nuha Majiddah Abdul Aziz","doi":"10.47836/pjst.32.4.14","DOIUrl":"https://doi.org/10.47836/pjst.32.4.14","url":null,"abstract":"In dynamic applications, the effective use of kenaf composite materials necessitates comprehensive and precise elucidation of their mechanical response under high strain rate loading conditions. Accurately measuring the sample’s deformation can only be achieved using a pulse-trapping technique. In this study, a dynamic momentum trapping mechanism that is simple to assemble and configure was constructed and affixed to a conventional Split Hopkinson Pressure Bar (SHPB) system. The effectiveness of the verified momentum trap approach was shown when the secondary wave of compression was decreased by 50 percent in the application of momentum trapping that stopped the specimen from coming in contact with the incident bar, resulting in a much-improved correlation between various strain rates and the failure of kenaf composite microstructure.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141806145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Macrobenthos Diversity and Dominance in Johor Straits, Malaysia","authors":"Mohd Sophian Mohd Kasihmuddin, Zaidi Che Cob","doi":"10.47836/pjst.32.4.20","DOIUrl":"https://doi.org/10.47836/pjst.32.4.20","url":null,"abstract":"Johor Strait has received massive anthropogenic traffic in recent years, causing environmental alteration and inevitably harming macrobenthos on the seafloor. A comprehensive assessment was done in several key locations within the strait to identify macrobenthic inhabitants and possible driving factors attributing to differences in macrobenthic assemblages in these areas. Sediments were acquired using Ponar Grab in 13 key locations within the Johor Straits. Seven hundred thirty macrobenthic individuals and 46 known taxa were identified in sediments of 13 locations in the strait. Annelids Prionospio (n=295), Minuspio (n=95) and Mediomastus (n=82) were concentrated in the central zone. Molluscs dominated the Merambong Shoals area (Arcualuta, n=66), and amphipods dominated waters off Santi River (Leucothoe, n=26; Gammarus, n=11; Cymadusa, n=9). PERMANOVA analyses (p<0.05) showed significant differences in benthic taxa composition in all locations overall. BIOENV analyses (r=0.76, p<0.05) highlighted water acidity, chlorophyll-a, silts and total organic carbon as the main influences toward benthic assemblages throughout the study area. PCA graph indicated higher organic carbon and silts in the central area, implying favourable conditions for Sedentarian polychaetes to thrive. The east and west ends of the strait exhibited higher readings of water acidity and chlorophyll-a, which may directly contribute to a higher diversity of benthic communities in the areas. Lower oxygen levels in two locations in the central area (J3=2.97 mg/L, J4: 2.63 mg/L) exhibited Sedentaria polychaete-dominated region, but zero benthic organisms in another part of the central area (J5-J9, 2.97–0.99 mg/L). This study showcased the effectiveness of environmental monitoring using macrobenthos as an indicating subject.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141814734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Vision-Based Multi-Stages Lane Detection Algorithm","authors":"Fayez Saeed Faizi, A. K. Al-Sulaifanie","doi":"10.47836/pjst.32.4.19","DOIUrl":"https://doi.org/10.47836/pjst.32.4.19","url":null,"abstract":"Lane detection is an essential task for autonomous vehicles. Deep learning-based lane detection methods are leading development in this sector. This paper proposes an algorithm named Deep Learning-based Lane Detection (DLbLD), a Convolutional Neural Network (CNN)-based lane detection algorithm. The presented paradigm deploys CNN to detect line features in the image block, predict a point on the lane line part, and project all the detected points for each frame into one-dimensional form before applying K-mean clustering to assign points to related lane lines. Extensive tests on different benchmarks were done to evaluate the performance of the proposed algorithm. The results demonstrate that the introduced DLbLD scheme achieves state-of-the-art performance, where F1 scores of 97.19 and 79.02 have been recorded for TuSimple and CU-Lane benchmarks, respectively. Nevertheless, results indicate the high accuracy of the proposed algorithm.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141815660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aina Shazwana Mohd Izhar, N. H. Nor Khalid, Fathoni Usman, Mohd Supian Abu Bakar, Nur Fadilah Adriyanshah, Hakim Zahari
{"title":"Electric Transmission Tower Corrosion Assessment Using Analytic Hierarchy Process and Health Index","authors":"Aina Shazwana Mohd Izhar, N. H. Nor Khalid, Fathoni Usman, Mohd Supian Abu Bakar, Nur Fadilah Adriyanshah, Hakim Zahari","doi":"10.47836/pjst.32.4.21","DOIUrl":"https://doi.org/10.47836/pjst.32.4.21","url":null,"abstract":"A transmission tower is one of the components in power infrastructure supporting overhead power lines (OHL). Electrical components, structural, and environmental factors are classified as the primary concern as they can cause catastrophic failure in transmission lines. Transmission towers are in various environments, such as coastal and industrial areas, with different atmospheric corrosion levels due to various corrosive pollutants. For maintenance planning, it is essential to consider the effects of corrosion on towers by physical evaluation influenced by atmospheric corrosion. The physical evaluation of each element uses a scoring or rating method ranging from one to five. The Analytic Hierarchy Process (AHP) and Health Index (HI) are used to evaluate the overall condition of the towers. The study discovered that soil corrosivity in coastal areas is high, and atmospheric corrosion is due to chloride content. Although the pollutants in those areas are high and corrosive, the physical evaluation found that most industrial, coastal, and road towers are in good condition at a rating of 4 and 5. The HI result is the dominance of 71% to 85%, which indicates that the towers are in good health.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141814023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Thulasi Manoharan, Faieza Abdul Aziz, Zulkiffle Leman, Siti Azfanizam Ahmad
{"title":"Determining Process Variability Using Fuzzy Triangular Distribution in Dynamic Value Stream Mapping","authors":"Thulasi Manoharan, Faieza Abdul Aziz, Zulkiffle Leman, Siti Azfanizam Ahmad","doi":"10.47836/pjst.32.4.17","DOIUrl":"https://doi.org/10.47836/pjst.32.4.17","url":null,"abstract":"","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141817808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Importance of Vegetation Landscape in Firefly Habitats","authors":"Nurhafizul Abu Seri, Azimah Abd Rahman","doi":"10.47836/pjst.32.4.18","DOIUrl":"https://doi.org/10.47836/pjst.32.4.18","url":null,"abstract":"This study explores the importance of vegetation (display trees) in shaping the habitat preferences, mating behaviours, and survival strategies of Pteroptyx fireflies in Southeast Asia, especially Malaysia. The research highlights the crucial role of diverse plant species, tree characteristics, and specific plant components in influencing firefly behaviour, emphasising the impact of vegetation composition, structure, and function. The findings underscore the essential role of vegetation in providing resources such as food, shelter, and suitable breeding sites, thereby shaping the distribution and abundance of firefly populations in their natural habitats. Moreover, the study elucidates the significant influence of plant-related chemical compounds and emissions on firefly behaviour and ecosystem dynamics, underscoring the intricate interplay between plant life and insect populations. This comprehensive understanding of the intricate dynamics between fireflies and their vegetation landscape has substantial implications for conservation efforts and the sustainable management of their habitats.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141814872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optimizing Bagged Trees in an Ensemble Classifier for Improved Prediction of Diabetes Prevalence in Women","authors":"Jose Candia Jr., Airish Mae Adonis, Jesica Perlas","doi":"10.47836/pjst.32.4.16","DOIUrl":"https://doi.org/10.47836/pjst.32.4.16","url":null,"abstract":"This study aims to optimize the performance of the bagged tree in an ensemble classifier for predicting diabetes prevalence in women. The study used a dataset of 1,888 women with six features: age, BMI, glucose level, insulin level, blood pressure, and pregnancy status. The dataset was divided into training and testing sets with a 70:30 ratio. The bagged tree ensemble classifier was used for the analysis, and five-fold cross-validation was applied. The study found that using all features during training resulted in a 92.3% training accuracy and a 99.5% testing accuracy. However, applying optimization techniques such as feature selection, parameter tuning, and a maximum number of splits improved model performance. Feature selection optimized the accuracy performance by 0.2%, while parameter tuning improved the test accuracy by 0.2%. Moreover, decreasing the maximum number of splits from 1322 to 800 or 600 resulted in an optimized model with 0.1% higher validation accuracy. Finally, the optimized bagged tree models were evaluated using various performance metrics, including accuracy, precision, recall, and F1 score. The study found that Model 1, which used 800 maximum number of splits and 50 learners, outperformed Model 2 in terms of recall and F1 score, while Model 2, which used 600 maximum number of splits and 50 learners, had a higher precision score. The study concludes that optimization techniques can significantly improve the performance of the bagged tree in predicting diabetes prevalence in women.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141815069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hazliza Aida Che Hamid, Mastura Mohammad Taha, S. I. Abdul Kudus, Noryani Muhammad, M. A. Shaharuzaman, Loh Yueh Feng, Ahmad Ilyas Rushdan
{"title":"Application of Fuzzy Analytic Network Process in Selection of Bio-composite Filament for Fused Deposition Modeling Process","authors":"Hazliza Aida Che Hamid, Mastura Mohammad Taha, S. I. Abdul Kudus, Noryani Muhammad, M. A. Shaharuzaman, Loh Yueh Feng, Ahmad Ilyas Rushdan","doi":"10.47836/pjst.32.4.15","DOIUrl":"https://doi.org/10.47836/pjst.32.4.15","url":null,"abstract":"The concurrent engineering approach necessitates integrating material selection into the product design to effectively align with client specifications. Premature product failure, leading to substantial losses, frequently arises as a consequence of inadequate material selection due to conflicting demands. The Multi-Criteria Decision Making (MCDM) procedures are essential for making wise decisions since choosing materials is complicated. This study employs fuzzy analytic network process (FANP) techniques to determine which bio-composite filaments will be the most effective for Fused Deposition Modeling (FDM). The requirements and available factors of egg carton packaging material determine the selection criteria for bio-composite filaments. These factors serve as the foundation for identifying ten essential features. The acquired data showed that the sugar palm fiber/polylactic acid composite (SPF/PLA) 7.5 wt.% fiber loading exhibited the highest priority score, 19.80%. The kenaf/acrylonitrile butadiene styrene (Kenaf/ABS) composite, with a fiber loading of 7.5%, exhibited the lowest ranking, scoring 4.4%. Subsequently, a sensitivity analysis was conducted to further corroborate the findings. It was observed that the SPF/PLA 7.5 wt.% fiber loading consistently ranked highest throughout all four examined scenarios. The study determined that a bio-composite filament material with a weight ratio of 7.5% SPF/PLA fiber loading is the optimal choice for utilizing FDM technology in the design of egg carton packaging.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141816541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mustafa Abo alwez, J. Jasni, Raghad Wahab, Mohd Amran Mohd.Radzi, N. Azis
{"title":"Novel Reactive Power Control Strategy for Mitigating Voltage Rise in the Malaysian Low Voltage Distribution Network with High PV Penetration","authors":"Mustafa Abo alwez, J. Jasni, Raghad Wahab, Mohd Amran Mohd.Radzi, N. Azis","doi":"10.47836/pjst.32.4.11","DOIUrl":"https://doi.org/10.47836/pjst.32.4.11","url":null,"abstract":"Integrating renewable energy sources and distributed energy resources (DERs) in the Malaysian low voltage distribution network has introduced voltage stability challenges, particularly voltage rises, leading to detrimental impacts on network performance. This paper presents a novel reactive power control strategy for addressing these challenges. Unlike conventional methods with fixed reactive power references, the proposed technique dynamically adjusts the reactive power reference in real time, considering voltage and active power injection. It calculates the rate of change in reactive power reference (ΔQ) per second by analyzing Volt-VAR and Watt-VAR components and updates the reference accordingly. Simulations conducted on a low voltage distribution network in Taman Impian Putra, Malaysia, showcase the adverse effects of high photovoltaic (PV) penetration on voltage stability and highlight the success of the proposed strategy in mitigating voltage rise. The technique effectively reduces average voltage, maintains voltage regulation during high sun irradiance and low load demand periods, and surpasses the adaptability of existing methods dependent on PV active injection or network voltage alone. The proposed strategy ensures accurate control and efficiently addresses dynamic network changes by accounting for both PV active power injection and network voltage. This approach offers enhanced voltage regulation, adaptability to varying network conditions, and reduced losses, making it a promising solution for mitigating voltage rise in the Malaysian low voltage distribution network. The simulations, validated using MATLAB Simulation and OpenDSS, confirm the strategy’s efficacy and potential for real-world implementation.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.6,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141816916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}