Lek Ming Lim, S. Sathasivam, Mohd. Tahir Ismail, Ahmad Sufril Azlan Mohamed, Olayemi Joshua Ibidoja, Majid Khan Majahar Ali
Malaysia ranks third among ASEAN countries in terms of deaths due to accidents, with an alarming increase in the number of fatalities each year. Road conditions contribute significantly to near-miss incidents, while the inefficiency of installed CCTVs and the lack of monitoring system algorithms worsen the situation. The objective of this research is to address the issue of increasing accidents and fatalities on Malaysian roads. Specifically, the study aims to investigate the use of video technology and machine learning algorithms for the car detection and analysis of near-miss accidents. To achieve this goal, the researchers focused on Penang, where the MBPP has deployed 1841 CCTV cameras to monitor traffic and document near-miss accidents. The study utilised the YOLOv3, YOLOv4, and Faster RCNN algorithms for vehicle detection. Additionally, the study employed image processing techniques such as Bird’s Eye View and Social Distancing Monitoring to detect and analyse how near misses occur. Various video lengths (20s, 40s, 60s and 80s) were tested to compare the algorithms’ error detection percentage and test duration. The results indicate that Faster RCNN beats YOLOv3 and YOLOV4 in car detection with low error detection, whereas YOLOv3 and YOLOv4 outperform near-miss detection, while Faster RCNN does not perform it. Overall, this study demonstrates the potential of video technology and machine learning algorithms in near-miss accident detection and analysis. Transportation authorities can better understand the causes of accidents and take appropriate measures to improve road safety using these models. This research can be a foundation for further traffic safety and accident prevention studies.
{"title":"Comparison Using Intelligent Systems for Data Prediction and Near Miss Detection Techniques","authors":"Lek Ming Lim, S. Sathasivam, Mohd. Tahir Ismail, Ahmad Sufril Azlan Mohamed, Olayemi Joshua Ibidoja, Majid Khan Majahar Ali","doi":"10.47836/pjst.32.1.20","DOIUrl":"https://doi.org/10.47836/pjst.32.1.20","url":null,"abstract":"Malaysia ranks third among ASEAN countries in terms of deaths due to accidents, with an alarming increase in the number of fatalities each year. Road conditions contribute significantly to near-miss incidents, while the inefficiency of installed CCTVs and the lack of monitoring system algorithms worsen the situation. The objective of this research is to address the issue of increasing accidents and fatalities on Malaysian roads. Specifically, the study aims to investigate the use of video technology and machine learning algorithms for the car detection and analysis of near-miss accidents. To achieve this goal, the researchers focused on Penang, where the MBPP has deployed 1841 CCTV cameras to monitor traffic and document near-miss accidents. The study utilised the YOLOv3, YOLOv4, and Faster RCNN algorithms for vehicle detection. Additionally, the study employed image processing techniques such as Bird’s Eye View and Social Distancing Monitoring to detect and analyse how near misses occur. Various video lengths (20s, 40s, 60s and 80s) were tested to compare the algorithms’ error detection percentage and test duration. The results indicate that Faster RCNN beats YOLOv3 and YOLOV4 in car detection with low error detection, whereas YOLOv3 and YOLOv4 outperform near-miss detection, while Faster RCNN does not perform it. Overall, this study demonstrates the potential of video technology and machine learning algorithms in near-miss accident detection and analysis. Transportation authorities can better understand the causes of accidents and take appropriate measures to improve road safety using these models. This research can be a foundation for further traffic safety and accident prevention studies.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":"22 5","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139166341","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}
Josfirin Uding Rangga, Sharifah Norkhadijah Syed Ismail, I. Rasdi, K. Karuppiah
This study aims to calculate the avoided leachate volume and treatment cost from waste segregation practices compared to the existing waste disposal methods of landfilling. The mathematical equations were used to analyse the waste segregation rate, leachate volume and treatment cost. The study findings reveal that 99.4% of mixed waste was disposed of in landfills, resulting in an annual generation of 565 thousand cubic meters (m3) of leachate with an estimated treatment cost of MYR 19.82 million (USD 4.36 million). The segregated waste, which accounts for only 0.06%, reduces 354 m3 in leachate volume and a cost-saving of MYR 12.42 thousand (USD 2.73 thousand) in the treatment expenses per year. The findings concluded that waste segregation practice could reduce waste management costs by reducing leachate production and treatment costs and environmental impacts.
{"title":"Estimation of Leachate Volume and Treatment Cost Avoidance Through Waste Segregation Programme in Malaysia","authors":"Josfirin Uding Rangga, Sharifah Norkhadijah Syed Ismail, I. Rasdi, K. Karuppiah","doi":"10.47836/pjst.32.1.19","DOIUrl":"https://doi.org/10.47836/pjst.32.1.19","url":null,"abstract":"This study aims to calculate the avoided leachate volume and treatment cost from waste segregation practices compared to the existing waste disposal methods of landfilling. The mathematical equations were used to analyse the waste segregation rate, leachate volume and treatment cost. The study findings reveal that 99.4% of mixed waste was disposed of in landfills, resulting in an annual generation of 565 thousand cubic meters (m3) of leachate with an estimated treatment cost of MYR 19.82 million (USD 4.36 million). The segregated waste, which accounts for only 0.06%, reduces 354 m3 in leachate volume and a cost-saving of MYR 12.42 thousand (USD 2.73 thousand) in the treatment expenses per year. The findings concluded that waste segregation practice could reduce waste management costs by reducing leachate production and treatment costs and environmental impacts.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":"15 8","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138948269","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}
Pesticides are commonly applied in agriculture to manage pests, parasites, weeds, and other crop diseases to maximise product output value and minimise or reduce yield losses. Pesticides are widely and indiscriminately used in crop production in most countries. Carbofuran is a highly toxic insecticide commonly used to protect crops in agricultural areas. Exposure to carbofuran can cause harmful effects on both the ecological environment and human health, particularly on non-target species such as birds and aquatic organisms. Carbofuran continues to be used, although it has been banned in some countries. This review paper highlights carbofuran usage, its residue, toxicity, and mechanisms of degradation pathways in water, soil, and food, especially in agriculture. It has been shown that hydrolysis, photolysis, and microbial degradation are the main pathways for carbofuran degradation. Carbofuran phenol is significantly less toxic than all photo-metabolites, while 3-ketocarbofuran and 3-hydroxycarbofuran are practically as harmful as the parent compound. Hence, more study is needed on degradation pathways that may thoroughly minimise the toxicity of this deadly pesticide.
{"title":"Understanding the Degradation of Carbofuran in Agricultural Area: A Review of Fate, Metabolites, and Toxicity","authors":"N. S. Baharudin, Harlina Ahmad, Md Sohrab Hossain","doi":"10.47836/pjst.32.1.17","DOIUrl":"https://doi.org/10.47836/pjst.32.1.17","url":null,"abstract":"Pesticides are commonly applied in agriculture to manage pests, parasites, weeds, and other crop diseases to maximise product output value and minimise or reduce yield losses. Pesticides are widely and indiscriminately used in crop production in most countries. Carbofuran is a highly toxic insecticide commonly used to protect crops in agricultural areas. Exposure to carbofuran can cause harmful effects on both the ecological environment and human health, particularly on non-target species such as birds and aquatic organisms. Carbofuran continues to be used, although it has been banned in some countries. This review paper highlights carbofuran usage, its residue, toxicity, and mechanisms of degradation pathways in water, soil, and food, especially in agriculture. It has been shown that hydrolysis, photolysis, and microbial degradation are the main pathways for carbofuran degradation. Carbofuran phenol is significantly less toxic than all photo-metabolites, while 3-ketocarbofuran and 3-hydroxycarbofuran are practically as harmful as the parent compound. Hence, more study is needed on degradation pathways that may thoroughly minimise the toxicity of this deadly pesticide.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":"46 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138950843","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}
M. S. R. Hamil, Fauziahanim Zakaria, Lee Chong Yew, Norzilawati Pauzi, K. S. Mohd, N. H. Saidan
Piper sarmentosum was found to have various phytochemicals such as polyphenols and flavonoids but also contains asarone isomers, which were reported as carcinogenic in several preclinical studies. Therefore, reducing asarone isomers from this functional food is important while retaining its functional properties. This study compares the total phenolics, total flavonoids, vitexin and naringenin contents, cytotoxicity, and anti-hyperglycaemic activity between various solvent extracts using a two-step extraction with SC-CO2 pre-treatment and a single-step conventional solvent extraction without SC-CO2 pre-treatment. The findings showed that phenolic content was significantly enhanced in ethanol, 50% ethanol, and water extracts pre-treated with SC-CO2, significantly correlated with α-glucosidase inhibitory activity. SC-CO2 pre-treated extracts enhanced the viability of two normal fibroblasts NIH/3T3 and CCD-18Co cell lines. It is concluded that SC-CO2 extraction offers a rapid pre-treatment step to produce safer extracts with better quality and efficacy.
{"title":"Phenolics-Enhancing Piper sarmentosum (Roxburgh) Extracts Pre-Treated with Supercritical Carbon Dioxide and its Correlation with Cytotoxicity and α-Glucosidase Inhibitory Activities","authors":"M. S. R. Hamil, Fauziahanim Zakaria, Lee Chong Yew, Norzilawati Pauzi, K. S. Mohd, N. H. Saidan","doi":"10.47836/pjst.32.1.18","DOIUrl":"https://doi.org/10.47836/pjst.32.1.18","url":null,"abstract":"Piper sarmentosum was found to have various phytochemicals such as polyphenols and flavonoids but also contains asarone isomers, which were reported as carcinogenic in several preclinical studies. Therefore, reducing asarone isomers from this functional food is important while retaining its functional properties. This study compares the total phenolics, total flavonoids, vitexin and naringenin contents, cytotoxicity, and anti-hyperglycaemic activity between various solvent extracts using a two-step extraction with SC-CO2 pre-treatment and a single-step conventional solvent extraction without SC-CO2 pre-treatment. The findings showed that phenolic content was significantly enhanced in ethanol, 50% ethanol, and water extracts pre-treated with SC-CO2, significantly correlated with α-glucosidase inhibitory activity. SC-CO2 pre-treated extracts enhanced the viability of two normal fibroblasts NIH/3T3 and CCD-18Co cell lines. It is concluded that SC-CO2 extraction offers a rapid pre-treatment step to produce safer extracts with better quality and efficacy.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":"133 6","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138953673","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}
Nur Ain Aiman Abd Rahim, R. Zakaria, A. Mansor, Mohd Ashraf Mohamad Ismail, Nik Fadzly N Rosely
Sustainable urban ecosystems require healthy green spaces that provide ecological services to meet social and environmental needs. This study evaluates the proportion of green areas in the urban campus and assesses the effects of pavement on the health of Samanea saman. The MAPIR Normalised Difference Vegetation Index (NDVI) camera mounted on a drone captured a proportion of green areas of approximately 27.80%, which is roughly a quarter of the total study sites. However, the significance of green areas depends on the health of the trees. Therefore, the pavement effects on the health status of trees in green areas were studied using Visual Tree Assessment (VTA) and aerial image analysis using the MAPIR (NDVI) camera on a drone. Although both methods evaluate health status, the final outputs differed. VTA produced categorical outputs, which assigned trees into health categories based on a visual assessment of factors. In contrast, NDVI produced linear outputs, which provided a numerical value to demonstrate tree health. Both methods indicate that trees in non-paved areas are healthier, particularly for the excellent trees identified by the VTA, which suggests that pavement negatively impacts tree health. However, the effects of paved and non-paved areas on tree health status analysis using the aerial image are not significant (p>0.05), which may be due to the low quality and accuracy of the images. The study provides insights into the importance of green areas and tree health in creating sustainable urban ecosystems.
{"title":"Proportions of Green Area and Tree Health on University Campus: The Impact of Pavement Presence","authors":"Nur Ain Aiman Abd Rahim, R. Zakaria, A. Mansor, Mohd Ashraf Mohamad Ismail, Nik Fadzly N Rosely","doi":"10.47836/pjst.32.1.11","DOIUrl":"https://doi.org/10.47836/pjst.32.1.11","url":null,"abstract":"Sustainable urban ecosystems require healthy green spaces that provide ecological services to meet social and environmental needs. This study evaluates the proportion of green areas in the urban campus and assesses the effects of pavement on the health of Samanea saman. The MAPIR Normalised Difference Vegetation Index (NDVI) camera mounted on a drone captured a proportion of green areas of approximately 27.80%, which is roughly a quarter of the total study sites. However, the significance of green areas depends on the health of the trees. Therefore, the pavement effects on the health status of trees in green areas were studied using Visual Tree Assessment (VTA) and aerial image analysis using the MAPIR (NDVI) camera on a drone. Although both methods evaluate health status, the final outputs differed. VTA produced categorical outputs, which assigned trees into health categories based on a visual assessment of factors. In contrast, NDVI produced linear outputs, which provided a numerical value to demonstrate tree health. Both methods indicate that trees in non-paved areas are healthier, particularly for the excellent trees identified by the VTA, which suggests that pavement negatively impacts tree health. However, the effects of paved and non-paved areas on tree health status analysis using the aerial image are not significant (p>0.05), which may be due to the low quality and accuracy of the images. The study provides insights into the importance of green areas and tree health in creating sustainable urban ecosystems.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":"55 ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139240972","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}
Mohd Rashidi Abdull Manap, Noor Hazfalinda Hamzah, Qhurratul Aina Kholili, Fatin Abu Hasan, Azhana Alhumaira
Spectroscopy and chromatography methods have become the most preferred techniques for detecting ingredients in e-liquid analysis. Both methods are widely used for separating and quantifying volatile compounds in a sample, providing individual chemical information in complex mixtures. This paper aims to review the detection and quantification of nicotine and other chemical ingredients in e-liquid used in e-cigarettes. E-cigarettes use the evaporation-condensation principle of aerosolization to produce an inhaled vapor containing nicotine, excipients, and flavoring agents. This review covers sample preparation, identification, and quantification of nicotine and other ingredients using chromatography and spectroscopy analysis. The spectroscopy methods are useful for quickly identifying and quantifying volatile compounds, including propylene glycol (PG), vegetable glycol (VG), and nicotine, while spectroscopic methods, particularly the Attenuated Total Reflectance-Fourier Transform Infrared Spectroscopy (ATR-FTIR) method, have lower analytical performance compared to chromatography methods in detecting nicotine and other chemical ingredients. Based on the review, chromatographic methods are the primary option for analyzing nicotine in all e-liquid samples, offering a better alternative for a future study with the presence of multiple detectors.
{"title":"Chromatography and Spectroscopy Methods for the Analysis of Nicotine and Other Chemical Ingredients in E-Liquid Formulation: A Review","authors":"Mohd Rashidi Abdull Manap, Noor Hazfalinda Hamzah, Qhurratul Aina Kholili, Fatin Abu Hasan, Azhana Alhumaira","doi":"10.47836/pjst.32.1.08","DOIUrl":"https://doi.org/10.47836/pjst.32.1.08","url":null,"abstract":"Spectroscopy and chromatography methods have become the most preferred techniques for detecting ingredients in e-liquid analysis. Both methods are widely used for separating and quantifying volatile compounds in a sample, providing individual chemical information in complex mixtures. This paper aims to review the detection and quantification of nicotine and other chemical ingredients in e-liquid used in e-cigarettes. E-cigarettes use the evaporation-condensation principle of aerosolization to produce an inhaled vapor containing nicotine, excipients, and flavoring agents. This review covers sample preparation, identification, and quantification of nicotine and other ingredients using chromatography and spectroscopy analysis. The spectroscopy methods are useful for quickly identifying and quantifying volatile compounds, including propylene glycol (PG), vegetable glycol (VG), and nicotine, while spectroscopic methods, particularly the Attenuated Total Reflectance-Fourier Transform Infrared Spectroscopy (ATR-FTIR) method, have lower analytical performance compared to chromatography methods in detecting nicotine and other chemical ingredients. Based on the review, chromatographic methods are the primary option for analyzing nicotine in all e-liquid samples, offering a better alternative for a future study with the presence of multiple detectors.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":"142 ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139241477","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}
Nashley Ursula Mundi Ujai, S. K. Sahari, M. Sawawi, K. Kipli, Asmahani Awang, Mohamad Rusop Mahmood, Lilik Hasanah, A. R. Kram, Zainab Ngaini
This paper describes a device known as a Single-chamber Microbial Fuel Cell (SMFC) that was used to generate bioelectricity from plant waste containing lignocellulosic components, such as bamboo leaves, rice husk and coconut waste, with various anodic chamber substrate compositions. The maximum power density among all assembled SMFCs was determined to be 231.18 mW/m2, generated by coconut waste. This model’s bioelectricity production was enhanced by adding organic compost to the anodic chamber, which acts as a catalyst in the system. The maximum power density of 788.58 mW/m2 was attained using a high proportion of coconut waste (CW) and organic compost. These results show that the higher percentage of lignin in CW improved the bioelectricity of SMFC.
{"title":"The Effect of Nutrients in Anodic Chamber to the Performance of Microbial Fuel Cell (MFC)","authors":"Nashley Ursula Mundi Ujai, S. K. Sahari, M. Sawawi, K. Kipli, Asmahani Awang, Mohamad Rusop Mahmood, Lilik Hasanah, A. R. Kram, Zainab Ngaini","doi":"10.47836/pjst.32.1.12","DOIUrl":"https://doi.org/10.47836/pjst.32.1.12","url":null,"abstract":"This paper describes a device known as a Single-chamber Microbial Fuel Cell (SMFC) that was used to generate bioelectricity from plant waste containing lignocellulosic components, such as bamboo leaves, rice husk and coconut waste, with various anodic chamber substrate compositions. The maximum power density among all assembled SMFCs was determined to be 231.18 mW/m2, generated by coconut waste. This model’s bioelectricity production was enhanced by adding organic compost to the anodic chamber, which acts as a catalyst in the system. The maximum power density of 788.58 mW/m2 was attained using a high proportion of coconut waste (CW) and organic compost. These results show that the higher percentage of lignin in CW improved the bioelectricity of SMFC.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":"191 ","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139241713","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}
I. Septiariva, I. W. Suryawan, Wisnu Prayogo, S. Suhardono, Ariyanti Sarwono
Seaweed waste is often found in the coastal areas of Indonesia. Along with other waste, large quantities of seaweed will disrupt the ecosystem and harm the surrounding environment. Therefore, treating seaweed waste effectively and efficiently is necessary to mitigate such adverse effects. This study processed seaweed waste using Black Soldier Fly (BSF) larvae to accelerate waste degradation, reducing the waste buildup. The characteristics of waste, the feeding treatment, chemical content, and parameters of waste processing were assessed. Based on the results, seaweed waste contains highly organic compounds, potentially used as fertilizer or animal feed. The feeding method demonstrated that the mass of BSF larvae increased according to the intensity of the feeding treatment. The total waste degradation obtained from the BSF larvae was 72.61% with a waste reduction index of 1.87 g/day, and the efficiency of digested feed was 7.61% with feeding treatment every three days. The chemical composition of BSF pre-pupae, pupae, and residues was also evaluated to determine their feasibility as animal feed and biomass. The results suggested that pre-pupae and pupae comprise protein, fat, calcium, and phosphorus. At the same time, the waste residue has a C-organic and N-organic ratio of 13%–14% and is an alternative for future waste-to-energy applications. Overall, BSF offers a great prospect in generating high-value products and simultaneously serves as a strategy for efficient waste management.
印尼沿海地区经常发现海藻垃圾。大量海藻与其他废物一起会破坏生态系统，损害周围环境。因此，有必要切实有效地处理海藻垃圾，以减轻这些不利影响。本研究利用黑兵蝇（BSF）幼虫处理海藻垃圾，以加速垃圾降解，减少垃圾堆积。研究评估了废物的特性、喂养处理、化学成分和废物处理参数。结果表明，海藻垃圾含有高有机化合物，可用作肥料或动物饲料。喂养方法表明，BSF 幼虫的数量随着喂养处理强度的增加而增加。BSF 幼虫的废物总降解率为 72.61%，废物减少指数为 1.87 克/天，每三天喂食一次，消化饲料的效率为 7.61%。还对 BSF 蛹前、蛹和残渣的化学成分进行了评估，以确定其作为动物饲料和生物质的可行性。结果表明，前蛹和蛹含有蛋白质、脂肪、钙和磷。同时，废物残渣的 C 有机物和 N 有机物比率为 13%-14%，是未来废物变能源应用的替代品。总之，BSF 在生产高价值产品方面前景广阔，同时也是一种有效的废物管理策略。
{"title":"Investigation of Blended Seaweed Waste Recycling Using Black Soldier Fly Larvae","authors":"I. Septiariva, I. W. Suryawan, Wisnu Prayogo, S. Suhardono, Ariyanti Sarwono","doi":"10.47836/pjst.32.1.13","DOIUrl":"https://doi.org/10.47836/pjst.32.1.13","url":null,"abstract":"Seaweed waste is often found in the coastal areas of Indonesia. Along with other waste, large quantities of seaweed will disrupt the ecosystem and harm the surrounding environment. Therefore, treating seaweed waste effectively and efficiently is necessary to mitigate such adverse effects. This study processed seaweed waste using Black Soldier Fly (BSF) larvae to accelerate waste degradation, reducing the waste buildup. The characteristics of waste, the feeding treatment, chemical content, and parameters of waste processing were assessed. Based on the results, seaweed waste contains highly organic compounds, potentially used as fertilizer or animal feed. The feeding method demonstrated that the mass of BSF larvae increased according to the intensity of the feeding treatment. The total waste degradation obtained from the BSF larvae was 72.61% with a waste reduction index of 1.87 g/day, and the efficiency of digested feed was 7.61% with feeding treatment every three days. The chemical composition of BSF pre-pupae, pupae, and residues was also evaluated to determine their feasibility as animal feed and biomass. The results suggested that pre-pupae and pupae comprise protein, fat, calcium, and phosphorus. At the same time, the waste residue has a C-organic and N-organic ratio of 13%–14% and is an alternative for future waste-to-energy applications. Overall, BSF offers a great prospect in generating high-value products and simultaneously serves as a strategy for efficient waste management.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":"59 9","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139239482","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}
Zahraa Raad Mayoof Hajiyat, A. Ismail, A. Sali, M. Hamidon
The Terahertz (THz) band antenna configuration operates in the 0.1–10 THz frequency range and offers a stable performance for future 6th Generation (6G) wireless communication systems. However, the available metallic axial mode helix antenna designs exhibit a peak directivity of lower than 18 dBi within 0.5–1 THz, making it inappropriate to be applied in wireless communication systems. Therefore, this study proposed a high-performance THz metallic five-turn axial mode helix antenna with an optimised truncated hollow cone ground plane for 6G wireless communication systems. Following the creation of the proposed antenna design using cost-effective copper (annealed), the truncated hollow cone ground plane of the THz axial mode helix antenna was optimised via simulation in a Computer Simulation Technology Microwave Studio (CST MWS) software and a verification of the proposed THz antenna design in Analysis System High-Frequency Structure Simulator (Ansys HFSS) software for a fair comparison. Based on the results, the proposed THz metallic axial mode helix antenna with optimised truncated hollow cone ground plane recorded an impedance bandwidth of 0.46 THz, Fractional Bandwidth (FBW) of 61.33% for |S11| ≤ -10 dB, and a maximum directivity and realised gain of 21.8 dBi and 21.5 dBi at 0.85 THz, respectively. Within the 0.5–1 THz, the proposed optimised THz antenna design achieved an outstanding performance, including an FBW of more than 50%, excellent directivity of higher than 15.8 dBi, radiation efficiency of greater than 87%, circular polarisation, and low-profile helix turns. In short, the proposed THz metallic axial mode helix antenna with optimised truncated hollow cone ground plane design is appropriate for various THz 6G wireless applications.
{"title":"High-performance THz Metallic Axial Mode Helix Antenna with Optimised Truncated Hollow Cone Ground Plane for 6G Wireless Communication System","authors":"Zahraa Raad Mayoof Hajiyat, A. Ismail, A. Sali, M. Hamidon","doi":"10.47836/pjst.32.1.15","DOIUrl":"https://doi.org/10.47836/pjst.32.1.15","url":null,"abstract":"The Terahertz (THz) band antenna configuration operates in the 0.1–10 THz frequency range and offers a stable performance for future 6th Generation (6G) wireless communication systems. However, the available metallic axial mode helix antenna designs exhibit a peak directivity of lower than 18 dBi within 0.5–1 THz, making it inappropriate to be applied in wireless communication systems. Therefore, this study proposed a high-performance THz metallic five-turn axial mode helix antenna with an optimised truncated hollow cone ground plane for 6G wireless communication systems. Following the creation of the proposed antenna design using cost-effective copper (annealed), the truncated hollow cone ground plane of the THz axial mode helix antenna was optimised via simulation in a Computer Simulation Technology Microwave Studio (CST MWS) software and a verification of the proposed THz antenna design in Analysis System High-Frequency Structure Simulator (Ansys HFSS) software for a fair comparison. Based on the results, the proposed THz metallic axial mode helix antenna with optimised truncated hollow cone ground plane recorded an impedance bandwidth of 0.46 THz, Fractional Bandwidth (FBW) of 61.33% for |S11| ≤ -10 dB, and a maximum directivity and realised gain of 21.8 dBi and 21.5 dBi at 0.85 THz, respectively. Within the 0.5–1 THz, the proposed optimised THz antenna design achieved an outstanding performance, including an FBW of more than 50%, excellent directivity of higher than 15.8 dBi, radiation efficiency of greater than 87%, circular polarisation, and low-profile helix turns. In short, the proposed THz metallic axial mode helix antenna with optimised truncated hollow cone ground plane design is appropriate for various THz 6G wireless applications.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":"70 1","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139241358","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}
Nur Aziana Azwani Abdul Aziz, M. Hussin, Nur Raidah Salim
The growth of the digital era with diverse existing electronic platforms offers information sharing and leads to the realization of a culture of knowledge. Vast amounts of data and information can be reached anywhere at any time, fingertips away. These data are public because people are willing to share them on digital platforms like social media. It should be noted that not all information is supposed to be made public; some is supposed to be kept private or confidential. However, people always misunderstand and are misled about which data needs to be secured and which can be shared. We proposed an attribute-based data privacy classification model using a Naïve Bayesian classifier in this work. It aims to identify and classify metadata (attributes) commonly accessible on digital platforms. We classified the attributes that had been collected into three privacy classes. Each class represents a level of data privacy in terms of its risk of breach. The public (respondent) is determined according to different ages to gather their perspective on the unclassified attribute data. The input from the survey is then used in the Naïve Bayesian classifier to formulate data weights. Then, the sorted privacy data in the class is sent back to the respondent to get their agreement on the class of attributes. We compare our approach with another classifier approach. The result shows fewer conflicting reactions from the respondents to our approach. This study could make the public aware of the importance of disclosing their information on open digital platforms.
{"title":"An Attribute-based Data Privacy Classification Through the Bayesian Theorem to Raise Awareness in Public Data Sharing Activity","authors":"Nur Aziana Azwani Abdul Aziz, M. Hussin, Nur Raidah Salim","doi":"10.47836/pjst.32.1.14","DOIUrl":"https://doi.org/10.47836/pjst.32.1.14","url":null,"abstract":"The growth of the digital era with diverse existing electronic platforms offers information sharing and leads to the realization of a culture of knowledge. Vast amounts of data and information can be reached anywhere at any time, fingertips away. These data are public because people are willing to share them on digital platforms like social media. It should be noted that not all information is supposed to be made public; some is supposed to be kept private or confidential. However, people always misunderstand and are misled about which data needs to be secured and which can be shared. We proposed an attribute-based data privacy classification model using a Naïve Bayesian classifier in this work. It aims to identify and classify metadata (attributes) commonly accessible on digital platforms. We classified the attributes that had been collected into three privacy classes. Each class represents a level of data privacy in terms of its risk of breach. The public (respondent) is determined according to different ages to gather their perspective on the unclassified attribute data. The input from the survey is then used in the Naïve Bayesian classifier to formulate data weights. Then, the sorted privacy data in the class is sent back to the respondent to get their agreement on the class of attributes. We compare our approach with another classifier approach. The result shows fewer conflicting reactions from the respondents to our approach. This study could make the public aware of the importance of disclosing their information on open digital platforms.","PeriodicalId":46234,"journal":{"name":"Pertanika Journal of Science and Technology","volume":"23 17","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139239784","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}
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