Pub Date : 2024-03-27DOI: 10.11113/jurnalteknologi.v86.20267
Muhammad Nadzirul Izzat Mahadzir, Isa Halim, Zulkeflee Abdullah, Muhammad Zaimi Zainal Abidin, Adi Saptari
Lower-limb exoskeletons can be used extensively in manufacturing, medical, rehabilitation, and the military. The design optimisation for each exoskeleton is vary depending on its intended use. Improving the design of the lower-limb exoskeletons encompasses objectives, attributes, and methods for fulfilling various application. This paper aims to establish a conceptual framework for developing most optimum design for lower-limb exoskeletons for industrial use. Additionally, this paper offers a critical review of design optimization for lower-limb exoskeletons with the aim of enhancing the ergonomics of workers in the industrial sector. To achieve this, this paper delves into an overview of both original research papers and review articles to extract valuable methodologies and design considerations for optimising lower-limb exoskeletons specifically for industrial use. The key outcomes of this paper include recommendedmethods, mechanical design considerations, and a conceptual framework specifically tailored for the design optimization of lower-limb exoskeletons in industrial environments. By offering a comprehensive overview of existing research, this review paper not only aids researchers and designers in the field but also benefits end-users, manufacturers, and the environment. The proposed conceptual framework serves as a valuable tool to guide the development of future lower-limb exoskeletons, ensuring a harmonious integration of technology, user needs, and industrial requirements.
{"title":"A CONCEPTUAL FRAMEWORK OF DESIGN OPTIMISATION OBJECTIVES FOR ALIGNING LOWER-LIMB EXOSKELETONS TO INDUSTRIAL REVOLUTION 5","authors":"Muhammad Nadzirul Izzat Mahadzir, Isa Halim, Zulkeflee Abdullah, Muhammad Zaimi Zainal Abidin, Adi Saptari","doi":"10.11113/jurnalteknologi.v86.20267","DOIUrl":"https://doi.org/10.11113/jurnalteknologi.v86.20267","url":null,"abstract":"\u0000\u0000\u0000\u0000Lower-limb exoskeletons can be used extensively in manufacturing, medical, rehabilitation, and the military. The design optimisation for each exoskeleton is vary depending on its intended use. Improving the design of the lower-limb exoskeletons encompasses objectives, attributes, and methods for fulfilling various application. This paper aims to establish a conceptual framework for developing most optimum design for lower-limb exoskeletons for industrial use. Additionally, this paper offers a critical review of design optimization for lower-limb exoskeletons with the aim of enhancing the ergonomics of workers in the industrial sector. To achieve this, this paper delves into an overview of both original research papers and review articles to extract valuable methodologies and design considerations for optimising lower-limb exoskeletons specifically for industrial use. The key outcomes of this paper include recommendedmethods, mechanical design considerations, and a conceptual framework specifically tailored for the design optimization of lower-limb exoskeletons in industrial environments. By offering a comprehensive overview of existing research, this review paper not only aids researchers and designers in the field but also benefits end-users, manufacturers, and the environment. The proposed conceptual framework serves as a valuable tool to guide the development of future lower-limb exoskeletons, ensuring a harmonious integration of technology, user needs, and industrial requirements.\u0000\u0000\u0000\u0000","PeriodicalId":55763,"journal":{"name":"Jurnal Teknologi","volume":"19 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140375668","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}
Pub Date : 2024-03-27DOI: 10.11113/jurnalteknologi.v86.19322
Azila Adnan, Anis Siti Noor Zulaikha Sudin
The fermentation of Kombucha tea produces SCOBY, or Symbiotic Culture of Bacteria and Yeast, as a result of the interaction between bacteria and yeast. In order to fully explore the potential of employing this cellulose as a viable raw material in many applications of industry, numerous studies on the Kombucha SCOBY are now being done. According to studies, Zygosaccharomyces and Acetobacter xylinum are the most frequent bacteria found throughout the SCOBY fermentation process. At the air-liquid interface, these microorganisms help produce cellulose fibrils extracellularly, resulting in a biofilm. An overview of the favourable conditions for SCOBY manufacture is provided in more specific, as well as the aspects that may influence the product, and its suitability for textile and fashion sector applications is appraised. The advantages of this biofilm are being explored, including in several industries especially in textile and fashion industry. The microbial consortium's tea fermentation process was able to demonstrate an increase in specific biological activities that had previously been researched. However, there are some limitations in the applications of SCOBY in the textile that need to be highlighted. Thus, this review focuses on the SCOBY properties, challenges and potential available to make it feasible in textile industries.
{"title":"THE STATE OF PLAY: SYMBIOTIC CULTURE OF BACTERIA AND YEASTS (SCOBY) IN TEXTILE INDUSTRY","authors":"Azila Adnan, Anis Siti Noor Zulaikha Sudin","doi":"10.11113/jurnalteknologi.v86.19322","DOIUrl":"https://doi.org/10.11113/jurnalteknologi.v86.19322","url":null,"abstract":"The fermentation of Kombucha tea produces SCOBY, or Symbiotic Culture of Bacteria and Yeast, as a result of the interaction between bacteria and yeast. In order to fully explore the potential of employing this cellulose as a viable raw material in many applications of industry, numerous studies on the Kombucha SCOBY are now being done. According to studies, Zygosaccharomyces and Acetobacter xylinum are the most frequent bacteria found throughout the SCOBY fermentation process. At the air-liquid interface, these microorganisms help produce cellulose fibrils extracellularly, resulting in a biofilm. An overview of the favourable conditions for SCOBY manufacture is provided in more specific, as well as the aspects that may influence the product, and its suitability for textile and fashion sector applications is appraised. The advantages of this biofilm are being explored, including in several industries especially in textile and fashion industry. The microbial consortium's tea fermentation process was able to demonstrate an increase in specific biological activities that had previously been researched. However, there are some limitations in the applications of SCOBY in the textile that need to be highlighted. Thus, this review focuses on the SCOBY properties, challenges and potential available to make it feasible in textile industries.","PeriodicalId":55763,"journal":{"name":"Jurnal Teknologi","volume":"54 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140376388","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}
Pub Date : 2024-03-27DOI: 10.11113/jurnalteknologi.v86.20579
M. K. Sabullah, R. Abdullah, Roslina Jawan, Lucky Goh Poh Wah, Hartinie Marbawi, Syed Umar Faruq Syed Najmuddin, Jualang Azlan Gansau, Mohd Yunus Syukor
In this article, the latest discoveries in the development of biosensors based on enzyme inhibition are reviewed. Due to their excellent selectivity and sensitivity, they represent a significant alternative method to conventional analytical methods; which is a method of analysis that only relies on the generation of instrumentation data without any preliminary screening. Basically, biosensors are able to convert biological activity into a quantifiable signal. These enzyme inhibition-based biosensors have a wide range of applications in the fields of environmental safety, food safety, and clinical analysis since toxic substances containing heavy metals and pesticides are the most effective inhibitors of enzymes. This paper is aimed at exploring the methods used and the sensitivity to various inhibitors for biosensors based on the inhibition of enzymes such as glucose oxidase, urease, tyrosinase, cholinesterase, and other enzymes.
{"title":"ULASAN SISTEMATIK KEATAS PENGAPLIKASIAN BIOPENDERIA BERASASKAN PERENCATAN ENZIM SEBAGAI KAEDAH SARINGAN AWAL UNTUK PEMANTAUAN ALAM SEKITAR DAN KESELAMATAN MAKANANEMANTAUAN ALAM SEKITAR DAN KESELAMATAN MAKANAN","authors":"M. K. Sabullah, R. Abdullah, Roslina Jawan, Lucky Goh Poh Wah, Hartinie Marbawi, Syed Umar Faruq Syed Najmuddin, Jualang Azlan Gansau, Mohd Yunus Syukor","doi":"10.11113/jurnalteknologi.v86.20579","DOIUrl":"https://doi.org/10.11113/jurnalteknologi.v86.20579","url":null,"abstract":"\u0000\u0000\u0000\u0000In this article, the latest discoveries in the development of biosensors based on enzyme inhibition are reviewed. Due to their excellent selectivity and sensitivity, they represent a significant alternative method to conventional analytical methods; which is a method of analysis that only relies on the generation of instrumentation data without any preliminary screening. Basically, biosensors are able to convert biological activity into a quantifiable signal. These enzyme inhibition-based biosensors have a wide range of applications in the fields of environmental safety, food safety, and clinical analysis since toxic substances containing heavy metals and pesticides are the most effective inhibitors of enzymes. This paper is aimed at exploring the methods used and the sensitivity to various inhibitors for biosensors based on the inhibition of enzymes such as glucose oxidase, urease, tyrosinase, cholinesterase, and other enzymes.\u0000\u0000\u0000\u0000","PeriodicalId":55763,"journal":{"name":"Jurnal Teknologi","volume":"16 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140374684","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}
Pub Date : 2024-03-27DOI: 10.11113/jurnalteknologi.v86.21081
Nurul Amira Mohd Ramli, M. H. F. Rahiman, R. Abdul Rahim, L. Kamarudin, L. Mohamed, Ammar Zakaria, Mohammed Saeed Moqbel Abdullah
Inefficient storage of paddy and rice grains can lead to grain deterioration, resulting in post-harvest losses ranging from 10% to 30%. The quality of grains cannot be improved throughout the storage period. Therefore, following the mechanisation of agricultural industries, air dryers have been developed to control the crops’ moisture level by blowing ambient or heated air into the silo to improve the aeration and allow the grains to be preserved with minimal loss of quality until the appropriate time for managing and marketing processes. However, the conventional sampling method used to measure the moisture level is inefficient because it is very localised and only represents part of the moisture distribution inside the bulk grains. Additionally, incorporating advanced technologies can be a significant cost limitation for small-scale industries. Thus, to address the issue, this research study developed a radio tomographic imaging (RTI) system in a silo-scale prototype using 20 sensor nodes operating at 2.4 GHz to localise and monitor the moisture level constructively. The RTI system reconstructs the cross-sectional images across the rice silo by measuring radio frequency attenuation, in terms of received signal strength (RSS) quality, caused by the rice moisture phantoms within the wireless sensor network (WSN) area. A total of five phantoms’ profiles having a percentage of moisture content (MC) of 15%, 20% and 25% were reconstructed using four image reconstruction algorithms, Linear Back Projection (LBP), Filtered Back Projection (FBP), Newton’s One-step Error Reconstruction (NOSER) and Tikhonov Regularisation.
{"title":"MEASUREMENT OF RICE MOISTURE CONTENT BASED ON QUANTITATIVE ANALAYSIS FROM RADIO TOMOGRAPHY IMAGES","authors":"Nurul Amira Mohd Ramli, M. H. F. Rahiman, R. Abdul Rahim, L. Kamarudin, L. Mohamed, Ammar Zakaria, Mohammed Saeed Moqbel Abdullah","doi":"10.11113/jurnalteknologi.v86.21081","DOIUrl":"https://doi.org/10.11113/jurnalteknologi.v86.21081","url":null,"abstract":"\u0000\u0000\u0000\u0000Inefficient storage of paddy and rice grains can lead to grain deterioration, resulting in post-harvest losses ranging from 10% to 30%. The quality of grains cannot be improved throughout the storage period. Therefore, following the mechanisation of agricultural industries, air dryers have been developed to control the crops’ moisture level by blowing ambient or heated air into the silo to improve the aeration and allow the grains to be preserved with minimal loss of quality until the appropriate time for managing and marketing processes. However, the conventional sampling method used to measure the moisture level is inefficient because it is very localised and only represents part of the moisture distribution inside the bulk grains. Additionally, incorporating advanced technologies can be a significant cost limitation for small-scale industries. Thus, to address the issue, this research study developed a radio tomographic imaging (RTI) system in a silo-scale prototype using 20 sensor nodes operating at 2.4 GHz to localise and monitor the moisture level constructively. The RTI system reconstructs the cross-sectional images across the rice silo by measuring radio frequency attenuation, in terms of received signal strength (RSS) quality, caused by the rice moisture phantoms within the wireless sensor network (WSN) area. A total of five phantoms’ profiles having a percentage of moisture content (MC) of 15%, 20% and 25% were reconstructed using four image reconstruction algorithms, Linear Back Projection (LBP), Filtered Back Projection (FBP), Newton’s One-step Error Reconstruction (NOSER) and Tikhonov Regularisation. \u0000\u0000\u0000\u0000","PeriodicalId":55763,"journal":{"name":"Jurnal Teknologi","volume":"3 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140374961","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}
Pub Date : 2024-03-27DOI: 10.11113/jurnalteknologi.v86.21200
A. Z. Abidin, Soen Steven, Sumriamin Rambe, Alex Matin, E. V. Yemensia, Dian Anggria Sari, Ridwan P. Putra
Zero waste management program (Masaro) offers a solution to process fruit, vegetable, and food waste. They were fermented at 32oC using two types of opaque plastic bioreactors with volumes of 60 L (first 14 days of fermentation) and 120 L (next 14 days of fermentation), respectively. The product of fermentation is a special liquid fertilizer. In this study, the fertilizer is applied to promote the growth and productivity of red chilli plants (Capsicum annuum L.) for 77 days. The macro and micronutrients in the fertilizer were analyzed using atomic absorption spectroscopy. The microorganisms and the amino acids therein were also characterized. The results inform that 5 mL/L of special liquid fertilizer signifies the average height increase and leaves area enlargement of the chilli plants. The presence of rhizobacteria in the fertilizer is responsible for promoting plant growth and enhancing plant productivity. In addition, this concentration of the fertilizer provides one week earlier of flowering and fruit production, with the highest number of chilli flowers and fruits reaching 28 and 19. Conclusively, the special liquid fertilizer has shown positive impacts on crop production and quality, with lower production costs. It is also effective, sustainable, eco-friendly, and can be applied in various agricultural sectors.
{"title":"APPLICATION OF SPECIAL LIQUID FERTILIZER FROM ORGANIC WASTES TO PROMOTE GROWTH AND PRODUCTIVITY OF RED CHILLI PLANTS (CAPSICUM ANNUUM L.)NNUUM L.)","authors":"A. Z. Abidin, Soen Steven, Sumriamin Rambe, Alex Matin, E. V. Yemensia, Dian Anggria Sari, Ridwan P. Putra","doi":"10.11113/jurnalteknologi.v86.21200","DOIUrl":"https://doi.org/10.11113/jurnalteknologi.v86.21200","url":null,"abstract":"Zero waste management program (Masaro) offers a solution to process fruit, vegetable, and food waste. They were fermented at 32oC using two types of opaque plastic bioreactors with volumes of 60 L (first 14 days of fermentation) and 120 L (next 14 days of fermentation), respectively. The product of fermentation is a special liquid fertilizer. In this study, the fertilizer is applied to promote the growth and productivity of red chilli plants (Capsicum annuum L.) for 77 days. The macro and micronutrients in the fertilizer were analyzed using atomic absorption spectroscopy. The microorganisms and the amino acids therein were also characterized. The results inform that 5 mL/L of special liquid fertilizer signifies the average height increase and leaves area enlargement of the chilli plants. The presence of rhizobacteria in the fertilizer is responsible for promoting plant growth and enhancing plant productivity. In addition, this concentration of the fertilizer provides one week earlier of flowering and fruit production, with the highest number of chilli flowers and fruits reaching 28 and 19. Conclusively, the special liquid fertilizer has shown positive impacts on crop production and quality, with lower production costs. It is also effective, sustainable, eco-friendly, and can be applied in various agricultural sectors.","PeriodicalId":55763,"journal":{"name":"Jurnal Teknologi","volume":"84 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140375900","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}
Pub Date : 2024-03-27DOI: 10.11113/jurnalteknologi.v86.19497
Mohd. Ridzuan Ahmad, Ahmed Abdullah Hussein Al-azzani
The paper discusses the use of unmanned aerial vehicles (drones) in search and rescue operations to detect humans in disaster areas where rescue teams cannot reach. The paper highlights the limitations of current methods, including high computational power, high cost, and dependence on internet connectivity. The paper proposes using transfer learning to develop a human detection model with a mean average precision (mAP@0.5) above 90% and compares two deep learning models, MobileNet v2 and EfficientDet. The study uses multi-datasets of aerial images of humans, namely SeaDronesee and SARD, and the TensorFlow version 2.8 framework. MobileNet v2 required less GPU usage for training and yielded a relatively high accuracy of 95.5%, while EfficientDet achieved higher accuracy (97.3%). The trained MobileNet v2 model size is compressed using quantization from 25.5 MB to 4.15 MB, making it suitable for deployment on an edge device for on-chip inference. The paper concludes that the proposed method can improve the efficiency and effectiveness of search and rescue operations.
{"title":"HUMAN DETECTION IN SEARCH AND RESCUE OPERATIONS USING EMBEDDED ARTIFICIAL INTELLIGENCE","authors":"Mohd. Ridzuan Ahmad, Ahmed Abdullah Hussein Al-azzani","doi":"10.11113/jurnalteknologi.v86.19497","DOIUrl":"https://doi.org/10.11113/jurnalteknologi.v86.19497","url":null,"abstract":"The paper discusses the use of unmanned aerial vehicles (drones) in search and rescue operations to detect humans in disaster areas where rescue teams cannot reach. The paper highlights the limitations of current methods, including high computational power, high cost, and dependence on internet connectivity. The paper proposes using transfer learning to develop a human detection model with a mean average precision (mAP@0.5) above 90% and compares two deep learning models, MobileNet v2 and EfficientDet. The study uses multi-datasets of aerial images of humans, namely SeaDronesee and SARD, and the TensorFlow version 2.8 framework. MobileNet v2 required less GPU usage for training and yielded a relatively high accuracy of 95.5%, while EfficientDet achieved higher accuracy (97.3%). The trained MobileNet v2 model size is compressed using quantization from 25.5 MB to 4.15 MB, making it suitable for deployment on an edge device for on-chip inference. The paper concludes that the proposed method can improve the efficiency and effectiveness of search and rescue operations.","PeriodicalId":55763,"journal":{"name":"Jurnal Teknologi","volume":"71 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140376001","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}
Pub Date : 2024-03-27DOI: 10.11113/jurnalteknologi.v86.21056
Rajasekhar Cheruvu, B. Kameswara Rao
It is vital for the sustainability of industry to reduce these emissions while still meeting the ever-increasing demand for infrastructure worldwide. This challenge drew the focus of academics, area experts, and researchers to objectivize their work to investigate alternatives to the cement industry. The present study aims to determine how to reduce the amount of cement by using GGBS and fly ash The study adopted the binder ratios of 0.3,0.4, and 0.5 for both Fly ash and GGBS and compared them with conventional concrete (OPC). Further, the RCPT test examines the durability of the resistance to chloride penetration across different durations, such as 28,56 and 90 days. Also, the sorpitivity test is performed for the above binder ratios to determine the susceptibility of the concrete. The results suggest that the binder ratios adopted for the study have shown better results compared to conventional concrete if the supplementary cementitious materials are restricted to specific percentages.
{"title":"EXPERIMENTAL INVESTIGATION ON THE PERFORMANCE EVALUATION OF CONCRETE BINARY BLENDED WITH FLY ASH AND GGBS","authors":"Rajasekhar Cheruvu, B. Kameswara Rao","doi":"10.11113/jurnalteknologi.v86.21056","DOIUrl":"https://doi.org/10.11113/jurnalteknologi.v86.21056","url":null,"abstract":"It is vital for the sustainability of industry to reduce these emissions while still meeting the ever-increasing demand for infrastructure worldwide. This challenge drew the focus of academics, area experts, and researchers to objectivize their work to investigate alternatives to the cement industry. The present study aims to determine how to reduce the amount of cement by using GGBS and fly ash The study adopted the binder ratios of 0.3,0.4, and 0.5 for both Fly ash and GGBS and compared them with conventional concrete (OPC). Further, the RCPT test examines the durability of the resistance to chloride penetration across different durations, such as 28,56 and 90 days. Also, the sorpitivity test is performed for the above binder ratios to determine the susceptibility of the concrete. The results suggest that the binder ratios adopted for the study have shown better results compared to conventional concrete if the supplementary cementitious materials are restricted to specific percentages.","PeriodicalId":55763,"journal":{"name":"Jurnal Teknologi","volume":"29 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140377110","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}
Pub Date : 2024-03-27DOI: 10.11113/jurnalteknologi.v86.20409
A. Huong, K. G. Tay, Kok Beng Gan, X. Ngu
The conventional means of myocardial infarction (MI) detection using a 12-lead electrocardiogram (ECG) system include a pretrained network and machine learning interpretation of the complex ECG signals. They are computationally inefficient and demand high-performance hardware. Here, for the first time, we introduce an effective framework (MI-OptNet) using the particle swarm optimization model (PSO) in the design of a lightweight hybrid network combining convolutional neural network (CNN)-long short terms memory (LSTM) for MI and normal ECG detection. We optimized important design and training parameters based on limb leads’ signals and identified leads III and VI as the best ECG leads for the task based on their high classification performance ranging between 80 – 90 %, suggesting that they may provide more information about MI than the others. The other strategy of fusing the scores from all models at the decision level achieved the best result with a 10 % increase in the evaluated metrics. Our findings support the flexibility and adaptability of our framework for the design process using minimal computer efforts. We concluded that this approach may be used for other classification problems to assist engineers and designers in efficient decision-making and to solve complex signal classification and recognition problems.
使用 12 导联心电图（ECG）系统检测心肌梗死（MI）的传统方法包括预训练网络和对复杂 ECG 信号的机器学习解释。这些方法计算效率低，需要高性能硬件。在此，我们首次引入了一个有效的框架（MI-OptNet），利用粒子群优化模型（PSO）设计了一个结合卷积神经网络（CNN）和长短期记忆（LSTM）的轻量级混合网络，用于 MI 和正常心电图检测。我们根据肢体导联信号优化了重要的设计和训练参数，并根据Ⅲ号和Ⅵ号导联在 80 - 90 % 之间的高分类性能，确定它们是完成任务的最佳心电图导联，这表明它们可能比其他导联提供更多有关 MI 的信息。另一种策略是在决策层面融合所有模型的得分，这种策略取得了最佳效果，评估指标提高了 10%。我们的研究结果证明了我们的框架在设计过程中的灵活性和适应性，只需花费最少的计算机人力。我们的结论是，这种方法可用于其他分类问题，以帮助工程师和设计师高效决策，并解决复杂的信号分类和识别问题。
{"title":"MI-OPTNET: AN OPTIMIZED DEEP LEARNING FRAMEWORK FOR MYOCARDIAL INFARCTION DETECTION","authors":"A. Huong, K. G. Tay, Kok Beng Gan, X. Ngu","doi":"10.11113/jurnalteknologi.v86.20409","DOIUrl":"https://doi.org/10.11113/jurnalteknologi.v86.20409","url":null,"abstract":"The conventional means of myocardial infarction (MI) detection using a 12-lead electrocardiogram (ECG) system include a pretrained network and machine learning interpretation of the complex ECG signals. They are computationally inefficient and demand high-performance hardware. Here, for the first time, we introduce an effective framework (MI-OptNet) using the particle swarm optimization model (PSO) in the design of a lightweight hybrid network combining convolutional neural network (CNN)-long short terms memory (LSTM) for MI and normal ECG detection. We optimized important design and training parameters based on limb leads’ signals and identified leads III and VI as the best ECG leads for the task based on their high classification performance ranging between 80 – 90 %, suggesting that they may provide more information about MI than the others. The other strategy of fusing the scores from all models at the decision level achieved the best result with a 10 % increase in the evaluated metrics. Our findings support the flexibility and adaptability of our framework for the design process using minimal computer efforts. We concluded that this approach may be used for other classification problems to assist engineers and designers in efficient decision-making and to solve complex signal classification and recognition problems.","PeriodicalId":55763,"journal":{"name":"Jurnal Teknologi","volume":"44 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140373564","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}
Pub Date : 2024-03-27DOI: 10.11113/jurnalteknologi.v86.20994
Haziq Syakir Hamzah, Ain Eazriena Che Man, Yasmin Abdul Wahab, Nurhafizah Abu Talip, M. M. Saari
Electrical Capacitance Tomography (ECT) is a well-known technique for identifying two-phase regimes when a non-conducting medium is the main medium inside a pipe. However, the common non-invasive techniques of ECT are not suitable for monitoring non-conducting systems that use steel pipes. This is because the placement of the common ECT sensor is outside of the pipe and thus cannot penetrate the conducting pipe. Therefore, this paper presents the development of image reconstruction techniques for invasive Electrical Capacitance Tomography (ECT) in steel pipe applications. The study uses eight electrodes for invasive ECT that are independently designed for easy replacement. The shield guard of each electrode is individually designed, unlike the common sensor of ECT. Moreover, it produces a sensitivity map in the forward problem by modeling the geometry to mimic the real hardware of invasive ECT in Comsol Multiphysics livelink with MATLAB. The data from real hardware is exported offline and a linear back projection algorithm is used as the inverse problem. The phantom of gas-oil with different sizes, positions, and multiple phantoms from the range of 20mm, 25 mm and 33mm are tested. The tomograms of the region of interest can be obtained as a result. The paper concludes that the developed image reconstruction techniques for invasive ECT in steel pipe applications can provide acceptable and reliable results. This study can be useful for researchers and practitioners in the field of ECT and steel pipe applications.
{"title":"DEVELOPMENT OF IMAGE RECONSTRUCTION FOR DETECTING STATIC OIL-GAS REGIMES USING INVASIVE ELECTRICAL CAPACITANCE TOMOGRAPHY IN STEEL PIPE APPLICATION – AN INITIAL STUDY An Initial Study","authors":"Haziq Syakir Hamzah, Ain Eazriena Che Man, Yasmin Abdul Wahab, Nurhafizah Abu Talip, M. M. Saari","doi":"10.11113/jurnalteknologi.v86.20994","DOIUrl":"https://doi.org/10.11113/jurnalteknologi.v86.20994","url":null,"abstract":"\u0000\u0000\u0000\u0000Electrical Capacitance Tomography (ECT) is a well-known technique for identifying two-phase regimes when a non-conducting medium is the main medium inside a pipe. However, the common non-invasive techniques of ECT are not suitable for monitoring non-conducting systems that use steel pipes. This is because the placement of the common ECT sensor is outside of the pipe and thus cannot penetrate the conducting pipe. Therefore, this paper presents the development of image reconstruction techniques for invasive Electrical Capacitance Tomography (ECT) in steel pipe applications. The study uses eight electrodes for invasive ECT that are independently designed for easy replacement. The shield guard of each electrode is individually designed, unlike the common sensor of ECT. Moreover, it produces a sensitivity map in the forward problem by modeling the geometry to mimic the real hardware of invasive ECT in Comsol Multiphysics livelink with MATLAB. The data from real hardware is exported offline and a linear back projection algorithm is used as the inverse problem. The phantom of gas-oil with different sizes, positions, and multiple phantoms from the range of 20mm, 25 mm and 33mm are tested. The tomograms of the region of interest can be obtained as a result. The paper concludes that the developed image reconstruction techniques for invasive ECT in steel pipe applications can provide acceptable and reliable results. This study can be useful for researchers and practitioners in the field of ECT and steel pipe applications.\u0000\u0000\u0000\u0000","PeriodicalId":55763,"journal":{"name":"Jurnal Teknologi","volume":"16 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140374449","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}
Pub Date : 2024-03-27DOI: 10.11113/jurnalteknologi.v86.20974
Nor Hafeeda Rosdan, Zainoodin Sheik Abdul Kader, Nor Hazwani Ahmad
Invasive meningococcal disease (IMD) is an acute, severe, and potentially fatal infection caused by Neisseria meningitidis and is a global public health burden. Given the high fatality rate linked to acute bacterial meningitis, it is imperative to initiate treatment and diagnosis concurrently in most cases. While a culture demonstrating the growth of N. meningitidis from blood or cerebrospinal fluid (CSF) remains the gold standard, however, its sensitivity diminishes following antibiotic administration. Therefore, in this study, differentially extracted whole cell protein (WCP), surface depleted whole cell protein (sdWCP), and cell surface protein (CSP) profiles were analysed by using SDS-PAGE to characterise and classify pathogenic N. meningitidis and non-pathogenic species. This study provides clear evidence that SDS-PAGE yields distinct protein patterns across Men A, B, C, and Y, clinical isolates 1 and 2, N. sicca, N. cinerea, and M. catarrhalis. It effectively demonstrates that SDS-PAGE protein profiling can serve as a reliable method for characterising and separating bacterial proteins at both the species and strain levels. Despite the availability of more advanced technologies, SDS-PAGE remains a valuable tool, particularly in settings where advanced equipment and knowledgeable personnel are lacking. Our approach employs various extraction techniques, has successfully defined and characterised N. meningitidis, non-pathogenic Neisseria species, and M. catarrhalis.
{"title":"THE DIFFERENTIAL EXTRACTION METHOD OF NEISSERIA MENINGITIDIS AND NON-PATHOGENIC SPECIES FOR PROTEIN PROFILING BY SDS-PAGE","authors":"Nor Hafeeda Rosdan, Zainoodin Sheik Abdul Kader, Nor Hazwani Ahmad","doi":"10.11113/jurnalteknologi.v86.20974","DOIUrl":"https://doi.org/10.11113/jurnalteknologi.v86.20974","url":null,"abstract":"\u0000\u0000\u0000\u0000Invasive meningococcal disease (IMD) is an acute, severe, and potentially fatal infection caused by Neisseria meningitidis and is a global public health burden. Given the high fatality rate linked to acute bacterial meningitis, it is imperative to initiate treatment and diagnosis concurrently in most cases. While a culture demonstrating the growth of N. meningitidis from blood or cerebrospinal fluid (CSF) remains the gold standard, however, its sensitivity diminishes following antibiotic administration. Therefore, in this study, differentially extracted whole cell protein (WCP), surface depleted whole cell protein (sdWCP), and cell surface protein (CSP) profiles were analysed by using SDS-PAGE to characterise and classify pathogenic N. meningitidis and non-pathogenic species. This study provides clear evidence that SDS-PAGE yields distinct protein patterns across Men A, B, C, and Y, clinical isolates 1 and 2, N. sicca, N. cinerea, and M. catarrhalis. It effectively demonstrates that SDS-PAGE protein profiling can serve as a reliable method for characterising and separating bacterial proteins at both the species and strain levels. Despite the availability of more advanced technologies, SDS-PAGE remains a valuable tool, particularly in settings where advanced equipment and knowledgeable personnel are lacking. Our approach employs various extraction techniques, has successfully defined and characterised N. meningitidis, non-pathogenic Neisseria species, and M. catarrhalis.\u0000\u0000\u0000\u0000","PeriodicalId":55763,"journal":{"name":"Jurnal Teknologi","volume":"14 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140374577","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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