Pub Date : 2024-06-06DOI: 10.37385/jaets.v5i2.2583
Yohanes Albrecht Montol, Aswin Lim, Paulus Pramono Rahardjo
This article presents the shear strength characteristics of Petobo Silty Sand which are treated with Calcium Oxide and Guar Gum. The purpose of this experimental works is looking for other binding agents to replace the application of cement which is considered not an environmentally friendly material. The shear strength of treated soils was examined using the direct shear test. Guar gum and Calcium Oxide provides additional cohesion to Petobo silty sand. The cohesion and internal friction angle could increase to about 900 kPa and 47.5°, respectively. The treated sample also shows the dilation behavior in dry conditions. However, after 24 hours soaking period, the soil behavior returned to the contraction behavior. This behavior is unfavorable in the case of the treated sample below the groundwater table. Hence, these two binding agents are effective for dry soil conditions. In addition, Scanning Electron Microscope images of treated silty sand were obtained which aims to examine the microscopic behavior of the fibers and matrices that were formed through the hydration process.
{"title":"Shear Strength Characteristics of Calcium Oxide and Guar Gum Treated Loose Petobo Silty Sand","authors":"Yohanes Albrecht Montol, Aswin Lim, Paulus Pramono Rahardjo","doi":"10.37385/jaets.v5i2.2583","DOIUrl":"https://doi.org/10.37385/jaets.v5i2.2583","url":null,"abstract":"This article presents the shear strength characteristics of Petobo Silty Sand which are treated with Calcium Oxide and Guar Gum. The purpose of this experimental works is looking for other binding agents to replace the application of cement which is considered not an environmentally friendly material. The shear strength of treated soils was examined using the direct shear test. Guar gum and Calcium Oxide provides additional cohesion to Petobo silty sand. The cohesion and internal friction angle could increase to about 900 kPa and 47.5°, respectively. The treated sample also shows the dilation behavior in dry conditions. However, after 24 hours soaking period, the soil behavior returned to the contraction behavior. This behavior is unfavorable in the case of the treated sample below the groundwater table. Hence, these two binding agents are effective for dry soil conditions. In addition, Scanning Electron Microscope images of treated silty sand were obtained which aims to examine the microscopic behavior of the fibers and matrices that were formed through the hydration process.","PeriodicalId":509378,"journal":{"name":"Journal of Applied Engineering and Technological Science (JAETS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141380071","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 : 2024-06-06DOI: 10.37385/jaets.v5i2.3690
Yiming Wang, Haoxuan Wang
This paper presents a study on the structural safety assessment of tunnel linings with underlying cavities based on a fuzzy comprehensive evaluation model in mudstone stratum. The weight and membership degree are determined using an improved method: field data analysis and numerical simulation. Field data analysis revealed that the proportion of cavities in the surrounding rocks of class ? and at the vault was the largest. Cavity length between 1m and 3m and cavity depth between 20cm and 40cm occupied the most significant proportion. Additionally, the impact of defect parameter changes on structural safety was investigated through numerical simulation. It is well known that the lining safety factors are greatly impacted by changes in surrounding rock classifications, cavity locations and depths. In contrast, changes in cavity lengths do not significantly affect the lining safety. The developed fuzzy comprehensive evaluation model consists of factor set, comment set, membership degree and weight set. They are determined according to the previous field data analysis and numerical analysis results. The developed evaluation model is validated by means of the numerical simulation based on the evaluation work of the specific engineering case.
{"title":"Safety Assessment of Tunnel Lining Structure with Underlying Cavities Based on Fuzzy Comprehensive Evaluation in Mudstone Stratum","authors":"Yiming Wang, Haoxuan Wang","doi":"10.37385/jaets.v5i2.3690","DOIUrl":"https://doi.org/10.37385/jaets.v5i2.3690","url":null,"abstract":"This paper presents a study on the structural safety assessment of tunnel linings with underlying cavities based on a fuzzy comprehensive evaluation model in mudstone stratum. The weight and membership degree are determined using an improved method: field data analysis and numerical simulation. Field data analysis revealed that the proportion of cavities in the surrounding rocks of class ? and at the vault was the largest. Cavity length between 1m and 3m and cavity depth between 20cm and 40cm occupied the most significant proportion. Additionally, the impact of defect parameter changes on structural safety was investigated through numerical simulation. It is well known that the lining safety factors are greatly impacted by changes in surrounding rock classifications, cavity locations and depths. In contrast, changes in cavity lengths do not significantly affect the lining safety. The developed fuzzy comprehensive evaluation model consists of factor set, comment set, membership degree and weight set. They are determined according to the previous field data analysis and numerical analysis results. The developed evaluation model is validated by means of the numerical simulation based on the evaluation work of the specific engineering case.","PeriodicalId":509378,"journal":{"name":"Journal of Applied Engineering and Technological Science (JAETS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141377143","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 : 2024-06-06DOI: 10.37385/jaets.v5i2.3688
D. Paillin, M. Machfud, H. Hardjomidjojo, Muhammad Romli
Risk assessment in agro-food supply chains is crucial in managing the complexity and uncertainty associated with food product production, distribution, and consumption. This study aims to classify risks and mapping techniques or approaches used in risk assessment of agro-food product supply chains. Mapping technique or approaches to risk assessment of agro-food supply chains was carried out based on the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) framework, which consists of several stages of identification, screening eligibility, and inclusion, resulting in a total of 72 relevant journal articles. They were selected from 58 different journals with high-impact factors and rankings. The literature review results show that agro-food's supply chain risk classification has much to do with risk assessment: macro-level risk, operational risk outside the company, and internal risk. Furthermore, the most studied agro-food products are general food (44%), horticultural products (28%), meat products (11%), dairy products (10%), fishery products (6%) and bread products (1%). The techniques and approaches most widely used in assessing the risk of the agro-food supply chain are semi-quantitative (49.3%), quantitative (31.5%), mixed (12.3%), and qualitative (6.9%). A better knowledge of the topic being addressed in the research community is sped up by identifying these techniques and approaches since the literature on supply chain risk management for agro-food is voluminous, complicated, and challenging to grasp.
{"title":"Agro-Food Supply Chain Risk Assessment: A Review Based on Technique and Approach","authors":"D. Paillin, M. Machfud, H. Hardjomidjojo, Muhammad Romli","doi":"10.37385/jaets.v5i2.3688","DOIUrl":"https://doi.org/10.37385/jaets.v5i2.3688","url":null,"abstract":"Risk assessment in agro-food supply chains is crucial in managing the complexity and uncertainty associated with food product production, distribution, and consumption. This study aims to classify risks and mapping techniques or approaches used in risk assessment of agro-food product supply chains. Mapping technique or approaches to risk assessment of agro-food supply chains was carried out based on the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) framework, which consists of several stages of identification, screening eligibility, and inclusion, resulting in a total of 72 relevant journal articles. They were selected from 58 different journals with high-impact factors and rankings. The literature review results show that agro-food's supply chain risk classification has much to do with risk assessment: macro-level risk, operational risk outside the company, and internal risk. Furthermore, the most studied agro-food products are general food (44%), horticultural products (28%), meat products (11%), dairy products (10%), fishery products (6%) and bread products (1%). The techniques and approaches most widely used in assessing the risk of the agro-food supply chain are semi-quantitative (49.3%), quantitative (31.5%), mixed (12.3%), and qualitative (6.9%). A better knowledge of the topic being addressed in the research community is sped up by identifying these techniques and approaches since the literature on supply chain risk management for agro-food is voluminous, complicated, and challenging to grasp.","PeriodicalId":509378,"journal":{"name":"Journal of Applied Engineering and Technological Science (JAETS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141379651","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 : 2024-06-06DOI: 10.37385/jaets.v5i2.3249
W. Purwanto, Tung-Kwan Liu, H. Maksum, Ahmad Arif, M. Y. Setiawan, M. Nasir
This research proposes a fuel system conversion from a carburetor to an electronic fuel injection (EFI), to save fossil fuels using gasoline-ethanol combined with water injection. Beneficial as an offer for Indonesian motorcycle environmental friendliness in terms of exhaust emissions. The goal of this study is to improve engine performance and accommodate technology for the deployment of ethanol gasoline implementations. The experiment was conducted using fuel with a ration octane number (RON) of 92, gasoline-ethanol was executed up to E25 then applied water injection (Wi). The results show that converting a conventional carburetor to EFI and additional water injection increases engine performance, mileage, and reduces exhaust emissions.
{"title":"The Fuel System Modification To Strengthen Achievement And The Prospect Of Utilizing Gasoline Ethanol Blended With Water Injection","authors":"W. Purwanto, Tung-Kwan Liu, H. Maksum, Ahmad Arif, M. Y. Setiawan, M. Nasir","doi":"10.37385/jaets.v5i2.3249","DOIUrl":"https://doi.org/10.37385/jaets.v5i2.3249","url":null,"abstract":"This research proposes a fuel system conversion from a carburetor to an electronic fuel injection (EFI), to save fossil fuels using gasoline-ethanol combined with water injection. Beneficial as an offer for Indonesian motorcycle environmental friendliness in terms of exhaust emissions. The goal of this study is to improve engine performance and accommodate technology for the deployment of ethanol gasoline implementations. The experiment was conducted using fuel with a ration octane number (RON) of 92, gasoline-ethanol was executed up to E25 then applied water injection (Wi). The results show that converting a conventional carburetor to EFI and additional water injection increases engine performance, mileage, and reduces exhaust emissions.","PeriodicalId":509378,"journal":{"name":"Journal of Applied Engineering and Technological Science (JAETS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141376346","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 : 2024-06-06DOI: 10.37385/jaets.v5i2.3947
Dhrgam Al Kafaf, Noor N. Thamir, Samara S. AL-Hadithy
This study delves into the investigation of the efficacy of Convolutional Neural Networks (CNNs) in identifying malaria through the examination of cell images. The dataset employed encompasses a total of 27,558 images, harvested from the renowned Malaria Cell Images Dataset on Kaggle, encompassing cells of diverse nature. The architectonics of the CNN model is meticulously devised, comprising of six blocks and three interconnected blocks, thereby rendering an efficient extraction of features and subsequent classification of the cells. Creative paraphrasing: Various strategies such as dropout, batch normalization, and global average pooling are artfully utilized to refine and fortify the model, ensuring its robustness and adaptability. In order to confront the challenge of diminishing gradient and facilitate the attainment of convergence, the activation function known as Rectified Linear Unit (ReLU) is ingeniously employed. Assessing the efficacy of the model via a perplexity grid produces outcomes. Exhibiting a precision rate of 99.59%, a specificity measure of 99.69%, an Sensitivity of 99.40%, F1 Measurement of 99.44%, and a Precision of 99.48, it showcases its capacity to effectively distinguish betwixt malaria-afflicted cells and unafflicted cells. The focal point of this research highlights the substantial potential of CNNs in facilitating the automated identification of malaria using image analysis. By harnessing their unique architecture and regularization techniques, CNNs have the capability to enhance the results and potentially bring about better outcomes in areas with prevalent cases of malaria.
{"title":"Malaria Disease Prediction Based on Convolutional Neural Networks","authors":"Dhrgam Al Kafaf, Noor N. Thamir, Samara S. AL-Hadithy","doi":"10.37385/jaets.v5i2.3947","DOIUrl":"https://doi.org/10.37385/jaets.v5i2.3947","url":null,"abstract":"This study delves into the investigation of the efficacy of Convolutional Neural Networks (CNNs) in identifying malaria through the examination of cell images. The dataset employed encompasses a total of 27,558 images, harvested from the renowned Malaria Cell Images Dataset on Kaggle, encompassing cells of diverse nature. The architectonics of the CNN model is meticulously devised, comprising of six blocks and three interconnected blocks, thereby rendering an efficient extraction of features and subsequent classification of the cells. Creative paraphrasing: Various strategies such as dropout, batch normalization, and global average pooling are artfully utilized to refine and fortify the model, ensuring its robustness and adaptability. In order to confront the challenge of diminishing gradient and facilitate the attainment of convergence, the activation function known as Rectified Linear Unit (ReLU) is ingeniously employed. Assessing the efficacy of the model via a perplexity grid produces outcomes. Exhibiting a precision rate of 99.59%, a specificity measure of 99.69%, an Sensitivity of 99.40%, F1 Measurement of 99.44%, and a Precision of 99.48, it showcases its capacity to effectively distinguish betwixt malaria-afflicted cells and unafflicted cells. The focal point of this research highlights the substantial potential of CNNs in facilitating the automated identification of malaria using image analysis. By harnessing their unique architecture and regularization techniques, CNNs have the capability to enhance the results and potentially bring about better outcomes in areas with prevalent cases of malaria.","PeriodicalId":509378,"journal":{"name":"Journal of Applied Engineering and Technological Science (JAETS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141377754","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 : 2024-06-06DOI: 10.37385/jaets.v5i2.1994
Putri Lynna A. Luthan, N. Sitanggang, Syahreza Alvan, Wisnu Prayogo
This study aims to analyse the causes of delays in the implementation of construction projects caused by management (owners/consultants) and production (contractors). The research sample consists of 56 respondents who are directly involved in the implementation of construction projects (owners, consultants, contractors, field supervisors, and estimators). The quantitative data analysis technique used was descriptive analysis technique, while the qualitative data obtained by interviewing 5 construction project experts was analysed by qualitative descriptive method. To analyse the causes of delays in project implementation, an analysis technique using the Relative Importance Index (RII) formula was used with a reference value of RII> 0.710. The results showed that 1) the average RII on management factors was 0.895> 0.710. This means that management factors (owner/consultant) can cause delays in the implementation of construction projects; 2) the average RII on production factors is 0.917> 0.710. This means that production factors (contractors) can cause delays in the implementation of construction projects. This means that production factors (contractors) can cause delays in the implementation of construction projects. This research is directly useful for construction service providers and contributes to the development of Project / Construction Management science.
{"title":"Analysing The Causes of Management and Production Delays in The Implementation of Construction Project Work","authors":"Putri Lynna A. Luthan, N. Sitanggang, Syahreza Alvan, Wisnu Prayogo","doi":"10.37385/jaets.v5i2.1994","DOIUrl":"https://doi.org/10.37385/jaets.v5i2.1994","url":null,"abstract":"This study aims to analyse the causes of delays in the implementation of construction projects caused by management (owners/consultants) and production (contractors). The research sample consists of 56 respondents who are directly involved in the implementation of construction projects (owners, consultants, contractors, field supervisors, and estimators). The quantitative data analysis technique used was descriptive analysis technique, while the qualitative data obtained by interviewing 5 construction project experts was analysed by qualitative descriptive method. To analyse the causes of delays in project implementation, an analysis technique using the Relative Importance Index (RII) formula was used with a reference value of RII> 0.710. The results showed that 1) the average RII on management factors was 0.895> 0.710. This means that management factors (owner/consultant) can cause delays in the implementation of construction projects; 2) the average RII on production factors is 0.917> 0.710. This means that production factors (contractors) can cause delays in the implementation of construction projects. This means that production factors (contractors) can cause delays in the implementation of construction projects. This research is directly useful for construction service providers and contributes to the development of Project / Construction Management science.","PeriodicalId":509378,"journal":{"name":"Journal of Applied Engineering and Technological Science (JAETS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141378731","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 : 2024-06-06DOI: 10.37385/jaets.v5i2.4592
Ratnasari Nur Rohmah, Yana Oktafianto, Nurokhim Nurokhim, Heru Supriyono, Agus Supardi
This research aims to assist farmers in controlling plant pests, birds and insect, by applying an appropriate electronic technology. The system operates in an automatic and remote-controlled modes using IoT technology. We used a solar powered systems that are environmentally friendly with zero carbon emissions, as an energy source for the systems. The test results showed that the bird pest control system worked well according to the automatic and remote-control modes design. We compare those two methods to evaluate the most effective between those two methods. Bird pest control using two actuators, sound and movement, outsmart control using only sound by success ratio 70:50. The insect pest control system worked well with the remote-control mode through Telegram application on farmers’ smartphones.
{"title":"Pest Control System on Agricultural Land using IoT Electronic Controller","authors":"Ratnasari Nur Rohmah, Yana Oktafianto, Nurokhim Nurokhim, Heru Supriyono, Agus Supardi","doi":"10.37385/jaets.v5i2.4592","DOIUrl":"https://doi.org/10.37385/jaets.v5i2.4592","url":null,"abstract":"This research aims to assist farmers in controlling plant pests, birds and insect, by applying an appropriate electronic technology. The system operates in an automatic and remote-controlled modes using IoT technology. We used a solar powered systems that are environmentally friendly with zero carbon emissions, as an energy source for the systems. The test results showed that the bird pest control system worked well according to the automatic and remote-control modes design. We compare those two methods to evaluate the most effective between those two methods. Bird pest control using two actuators, sound and movement, outsmart control using only sound by success ratio 70:50. The insect pest control system worked well with the remote-control mode through Telegram application on farmers’ smartphones.","PeriodicalId":509378,"journal":{"name":"Journal of Applied Engineering and Technological Science (JAETS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141375884","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 : 2024-06-06DOI: 10.37385/jaets.v5i2.3244
Mazzlida Mat Deli, Ummu Ajirah Abdul Rauf, Maryam Jamilah Asha'ari, Ainul Huda Jamil, A. A. Purwati, Siti Intan Nurdiana Wong Abdullah, Fauziah Ismail
The purpose of this research is to analyze the application of digital twin technology in the efficient management of new innovative technology. The research is directed to perform a bibliometric analysis of the subject topic. The relevancy of the research can be underlined by the fact that digital twin technologies are a popular concept of Industry 4.0. In addition, this research is advantageous to identify the application of digital twin technology in efficient technology management, especially in Malaysia. As a scope, it would highlight possible use cases of digital twin technology. The review of existing literature highlighted that digital twin technology has serious use case potential in supply chain operations. Whereas other scholars argue that digital twin technology can bring out major disruptive innovations to improve the internal competencies of major manufacturing firms. The methodology for the research involves the use of secondary data with bibliometric analysis. It has been identified in the findings that there is a rise in research associated with digital twin technology between the timelines from 2019 to 2022. Furthermore, Chinese Academies are most active in propagating research on variables like digital twins.
{"title":"A Bibliometric Article Regarding Twin Technology In Technology Management For The Year 2019-2025: Industry In Malaysia","authors":"Mazzlida Mat Deli, Ummu Ajirah Abdul Rauf, Maryam Jamilah Asha'ari, Ainul Huda Jamil, A. A. Purwati, Siti Intan Nurdiana Wong Abdullah, Fauziah Ismail","doi":"10.37385/jaets.v5i2.3244","DOIUrl":"https://doi.org/10.37385/jaets.v5i2.3244","url":null,"abstract":"The purpose of this research is to analyze the application of digital twin technology in the efficient management of new innovative technology. The research is directed to perform a bibliometric analysis of the subject topic. The relevancy of the research can be underlined by the fact that digital twin technologies are a popular concept of Industry 4.0. In addition, this research is advantageous to identify the application of digital twin technology in efficient technology management, especially in Malaysia. As a scope, it would highlight possible use cases of digital twin technology. The review of existing literature highlighted that digital twin technology has serious use case potential in supply chain operations. Whereas other scholars argue that digital twin technology can bring out major disruptive innovations to improve the internal competencies of major manufacturing firms. The methodology for the research involves the use of secondary data with bibliometric analysis. It has been identified in the findings that there is a rise in research associated with digital twin technology between the timelines from 2019 to 2022. Furthermore, Chinese Academies are most active in propagating research on variables like digital twins.","PeriodicalId":509378,"journal":{"name":"Journal of Applied Engineering and Technological Science (JAETS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141379447","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 : 2024-06-06DOI: 10.37385/jaets.v5i2.3716
B. Prashanthi, S. P. A. Claret
The recent advancements in artificial intelligence enhance the detection and classification of lung nodules via computed tomography scans, addressing the critical need for early diagnosis of lung cancer. The lung cancer when identified at the earlier stages, the chance of survival is higher. The methodology encompasses a modern deep-learning approach applied to a private dataset obtained from the Barnard Institute of Radiology at Madras Medical College, Chennai, which has been granted ethical approval. The results from applying the proposed Convolutional Neural Network model are promising, with an accuracy of 99.3% in malignancy detection, signifying a notable advancement in the precise diagnosis of lung cancer through non-invasive imaging techniques. Beyond academia, the findings of this study have significant implications for real-world healthcare settings. By providing a reliable and automated solution for lung nodule detection, this research contributes to early diagnosis and personalized treatment strategies for lung cancer patients. The value of the present work lies in its potential to reduce morbidity through the early detection of lung cancer, thus contributing to both clinical practice and the ongoing development of AI applications in healthcare. Our research may serve as a model for further studies in digital health care at Madras Medical College, aiming to improve patient outcomes through technology-driven diagnostics.
{"title":"Lung Nodule Detection For CT-Guided Biopsy Images Using Deep Learning","authors":"B. Prashanthi, S. P. A. Claret","doi":"10.37385/jaets.v5i2.3716","DOIUrl":"https://doi.org/10.37385/jaets.v5i2.3716","url":null,"abstract":"The recent advancements in artificial intelligence enhance the detection and classification of lung nodules via computed tomography scans, addressing the critical need for early diagnosis of lung cancer. The lung cancer when identified at the earlier stages, the chance of survival is higher. The methodology encompasses a modern deep-learning approach applied to a private dataset obtained from the Barnard Institute of Radiology at Madras Medical College, Chennai, which has been granted ethical approval. The results from applying the proposed Convolutional Neural Network model are promising, with an accuracy of 99.3% in malignancy detection, signifying a notable advancement in the precise diagnosis of lung cancer through non-invasive imaging techniques. Beyond academia, the findings of this study have significant implications for real-world healthcare settings. By providing a reliable and automated solution for lung nodule detection, this research contributes to early diagnosis and personalized treatment strategies for lung cancer patients. The value of the present work lies in its potential to reduce morbidity through the early detection of lung cancer, thus contributing to both clinical practice and the ongoing development of AI applications in healthcare. Our research may serve as a model for further studies in digital health care at Madras Medical College, aiming to improve patient outcomes through technology-driven diagnostics.","PeriodicalId":509378,"journal":{"name":"Journal of Applied Engineering and Technological Science (JAETS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141379627","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 : 2024-06-06DOI: 10.37385/jaets.v5i2.2770
Muhammad Faisal, Suraiya Kamaruzzaman, Ressa Fitra Adinda, Dimas Anugerah Ilahi, Taufik Hidayat, H. Desvita
Liquid smoke is produced by the pyrolysis of biomass. The use of liquid smoke has numerous advantages over traditional smoking methods. The liquid smoke market is well-established and growing, providing an opportunity to commercialize biomass pyrolysis. This study aimed to investigate the utility of durian rind, biomass waste rich in lignin, cellulose, and hemicellulose, as a natural preservative to extend the shelf life of chicken meatballs and to mitigate environmental problems caused by the disposal of untreated durian rind waste. Dried durian rinds with approximately 10% water content were pyrolyzed at temperatures of 300°C (T1 liquid smoke), 340°C (T2 liquid smoke), and 380°C (T3 liquid smoke) using a slow pyrolysis reactor in batch conditions to produce crude liquid smoke, which was then purified by distillation at 190°C. Chicken meatballs were then soaked in liquid smoke solutions with concentrations of 1%, 2%, and 3% for 15 minutes, and the meatballs checked for signs of spoilage every 4 hours. Tests for total volatile base nitrogen (TVB-N), in addition to the total plate count (TPC) and most probable number (MPN) of Escherichia coli bacteria, were performed to evaluate the preservation ability of the liquid smoke. The results indicated that both the pyrolysis temperature and liquid smoke concentration affected the preservation time, with a pyrolysis temperature of T3 and liquid smoke concentration of 3% optimum for chicken meatball preservation. Under these conditions, the meatballs could be stored for 56 hours with TVB-N, TPC, and E. coli MPN values of 21.01 mg N/100 g, 5.37 × 104 CFU/g, and 75 MPN/g, respectively. The findings suggest that liquid smoke derived from durian rinds could be used to preserve chicken meatballs.
{"title":"Durian Rind-Based Liquid Smoke as a Natural Preservative for Chicken Meatballs: Effect of Pyrolysis Temperature and Liquid Smoke Concentration","authors":"Muhammad Faisal, Suraiya Kamaruzzaman, Ressa Fitra Adinda, Dimas Anugerah Ilahi, Taufik Hidayat, H. Desvita","doi":"10.37385/jaets.v5i2.2770","DOIUrl":"https://doi.org/10.37385/jaets.v5i2.2770","url":null,"abstract":"Liquid smoke is produced by the pyrolysis of biomass. The use of liquid smoke has numerous advantages over traditional smoking methods. The liquid smoke market is well-established and growing, providing an opportunity to commercialize biomass pyrolysis. This study aimed to investigate the utility of durian rind, biomass waste rich in lignin, cellulose, and hemicellulose, as a natural preservative to extend the shelf life of chicken meatballs and to mitigate environmental problems caused by the disposal of untreated durian rind waste. Dried durian rinds with approximately 10% water content were pyrolyzed at temperatures of 300°C (T1 liquid smoke), 340°C (T2 liquid smoke), and 380°C (T3 liquid smoke) using a slow pyrolysis reactor in batch conditions to produce crude liquid smoke, which was then purified by distillation at 190°C. Chicken meatballs were then soaked in liquid smoke solutions with concentrations of 1%, 2%, and 3% for 15 minutes, and the meatballs checked for signs of spoilage every 4 hours. Tests for total volatile base nitrogen (TVB-N), in addition to the total plate count (TPC) and most probable number (MPN) of Escherichia coli bacteria, were performed to evaluate the preservation ability of the liquid smoke. The results indicated that both the pyrolysis temperature and liquid smoke concentration affected the preservation time, with a pyrolysis temperature of T3 and liquid smoke concentration of 3% optimum for chicken meatball preservation. Under these conditions, the meatballs could be stored for 56 hours with TVB-N, TPC, and E. coli MPN values of 21.01 mg N/100 g, 5.37 × 104 CFU/g, and 75 MPN/g, respectively. The findings suggest that liquid smoke derived from durian rinds could be used to preserve chicken meatballs.","PeriodicalId":509378,"journal":{"name":"Journal of Applied Engineering and Technological Science (JAETS)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141377179","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：