Suranaree Journal of Science and Technology最新文献

EXPLORING FACTORS AFFECTING NITROGEN ISOLATION BY CATION EXCHANGE MEMBRANE AND THEIR IMPLICATIONS FOR MICROBIAL FUEL CELL PERFORMANCE IN WASTEWATER TREATMENT 探索影响阳离子交换膜氮隔离的因素及其对污水处理中微生物燃料电池性能的影响

Suranaree Journal of Science and Technology Pub Date : 2024-06-12 DOI: 10.55766/sujst-2024-02-e05287

Hoang Dung Nguyen, Sandhya Babel

{"title":"EXPLORING FACTORS AFFECTING NITROGEN ISOLATION BY CATION EXCHANGE MEMBRANE AND THEIR IMPLICATIONS FOR MICROBIAL FUEL CELL PERFORMANCE IN WASTEWATER TREATMENT","authors":"Hoang Dung Nguyen, Sandhya Babel","doi":"10.55766/sujst-2024-02-e05287","DOIUrl":"https://doi.org/10.55766/sujst-2024-02-e05287","url":null,"abstract":"This study explores the utilization of a cation exchange membrane (CEM) in a microbial fuel cell (MFC) system to isolate nitrogen from wastewater influents. While employing a CEM in an MFC system has drawbacks, such as increased internal resistance and reduced power output, it also provides a means for optimal energy recovery from organics while allowing isolated nitrogen to be treated in subsequent steps. This study evaluated the diffusion of ammonium through CEM in a dual-chamber MFC under different operating conditions. Results indicated that the MFC reactor with CEM as a separator isolated 88-93% of the nitrogen input, demonstrating the feasibility of this approach for nitrogen separation in wastewater treatment applications. Factors affecting nitrogen isolation, including COD input at the anode, dissolved oxygen (DO) at the cathode, and external resistance (ER), are identified. Higher COD input at the anode and the DO at the cathode were found to enhance nitrogen separation, while increased ER had an adverse effect on nitrogen isolation capacity. Additionally, changes in the surface characteristics of the CEM during operation could impact nitrogen isolation, emphasizing the need for careful monitoring and maintenance of the CEM to ensure consistent performance over time. In conclusion, this study highlighted the potential of using a CEM in MFC systems for nitrogen isolation, provided insights into the factors affecting the efficacy of nitrogen separation, and underscored the need for monitoring and maintenance of the CEM. These results could significantly impact the development of more efficient and sustainable wastewater treatment using the MFC system.","PeriodicalId":509211,"journal":{"name":"Suranaree Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141350006","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}

引用次数: 0

COMPREHENSIVE DISCUSSION OF THE REPAIRABLE SINGLE SERVER CATASTROPHE AND MULTIPLE VACATION QUEUEING MODEL 全面讨论可修复的单服务器灾难和多假期排队模型

Suranaree Journal of Science and Technology Pub Date : 2024-06-11 DOI: 10.55766/sujst-2024-02-e02734

R. R, Jaisingh Ebenesar Anna Bagyam

{"title":"COMPREHENSIVE DISCUSSION OF THE REPAIRABLE SINGLE SERVER CATASTROPHE AND MULTIPLE VACATION QUEUEING MODEL","authors":"R. R, Jaisingh Ebenesar Anna Bagyam","doi":"10.55766/sujst-2024-02-e02734","DOIUrl":"https://doi.org/10.55766/sujst-2024-02-e02734","url":null,"abstract":"The queueing system with two types of vacation policies and disasters occurring in every state are examined in this study. As soon as the system is empty, the server goes on a short-term vacation. If there are no active clients in the system when the server returns from a short-term vacation, then the server goes on a long-term vacation. Upon seeing at least one client in the queue during a short or long-term vacation, the server will turn on right away. Catastrophes can happen during short or long vacations and also when the server is active. All current clients are removed from the system when a disaster occurs. When the system has been fixed, it starts to work properly once again. After repair, the server immediately switches to working mode(model 1) or takes a short-term vacation (model 2). A steady-state solution is determined by using the PGF (Probability-Generating Function). The above two categories of after-repair will be examined in this paper. Additionally, numerical examples related to performance measures, cost models, and the steady analysis of the provided models are discussed. Management for networking disaster recovery gives suggestions for restarting regular operations and network services following a disaster.","PeriodicalId":509211,"journal":{"name":"Suranaree Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141355154","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}

引用次数: 0

MODEL FORMULATION AND COMPUTATION FOR FACTORS INFLUENCING MYOCARDIAL INFARCTION IN HUMANS 影响人类心肌梗塞因素的模型制定和计算

Suranaree Journal of Science and Technology Pub Date : 2024-06-11 DOI: 10.55766/sujst-2024-02-e03011

Malini Devi Ramanathan, Vaishnavi Kalirajan

引用次数: 0

TO ANALYZE THE LUNGS X-RAY IMAGES USING MACHINE LEARNING ALGORITHM: AN IMPLEMENTATION TO PNEUMONIA DIAGNOSIS 利用机器学习算法分析肺部 X 射线图像：肺炎诊断实施方案

Suranaree Journal of Science and Technology Pub Date : 2024-06-11 DOI: 10.55766/sujst-2024-02-e02133

S. Agrawal, Yogesh Kumar Gupta

{"title":"TO ANALYZE THE LUNGS X-RAY IMAGES USING MACHINE LEARNING ALGORITHM: AN IMPLEMENTATION TO PNEUMONIA DIAGNOSIS","authors":"S. Agrawal, Yogesh Kumar Gupta","doi":"10.55766/sujst-2024-02-e02133","DOIUrl":"https://doi.org/10.55766/sujst-2024-02-e02133","url":null,"abstract":"Introduction: Respiratory diseases, particularly pneumonia, pose a significant threat to human life. Pneumonia affects the respiratory function in the human body and is a dangerous lung disease. This study aims to propose a model for detecting pneumonia in chest XR images. By utilizing statistical-based features, relevant and informative features are extracted from lung X-ray images. Objective: The objective is to obtain high accuracy in pneumonia identification; the target of this work is to generate a model that can precisely recognize the presence of pneumonia by evaluating chest X-ray pictures. Method: The Method follows a three-phase approach: preprocessing, categorization, and extraction of features. Preprocessing is the stage when various filters are applied to the chest X-ray images to enhance their eminence and eradicate noise. The feature extraction phase involves extracting statistical-based features from the preprocessed images. These features capture relevant information regarding a pneumonia diagnosis. Finally, in the classification phase, algorithms for machine learning are employed to use the retrieved features to categorize the X-ray pictures as infected or uninfected. Result: The proposed model successfully detects the presence of pneumonia accurately. By leveraging advanced machine learning algorithms, the model achieves accurate X-ray image classification for the chest. Conclusion: This study concludes by presenting a model for detecting pneumonia by examining chest X-ray pictures. To accurately classify infected and non-infected lungs, the proposed model makes use of image dispensation methods and machine learning algorithms. The model's high accuracy in pneumonia detection can significantly contribute to early diagnosis and treatment.","PeriodicalId":509211,"journal":{"name":"Suranaree Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141358488","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}

引用次数: 0

DECIPHERING THE INTRICATE NETWORK OF POLY CYSTIC OVARIAN SYNDROME: A THOROUGH EXAMINATION OF HORMONAL AND DEMOGRAPHIC INFLUENCES 破译多囊卵巢综合症的复杂网络：对荷尔蒙和人口统计学影响因素的深入研究

Suranaree Journal of Science and Technology Pub Date : 2024-06-10 DOI: 10.55766/sujst-2024-02-e03383

Janvi Varma, Aparna Pandey, Arun Kumar Kulshrestha, Vijay Jagdish Upadhye

{"title":"DECIPHERING THE INTRICATE NETWORK OF POLY CYSTIC OVARIAN SYNDROME: A THOROUGH EXAMINATION OF HORMONAL AND DEMOGRAPHIC INFLUENCES","authors":"Janvi Varma, Aparna Pandey, Arun Kumar Kulshrestha, Vijay Jagdish Upadhye","doi":"10.55766/sujst-2024-02-e03383","DOIUrl":"https://doi.org/10.55766/sujst-2024-02-e03383","url":null,"abstract":"One of the most prevalent hormonal disorders affecting women who are of reproductive age is PCOS, a serious public health concern. Insulin resistance is significantly more common together with hirsutism, polycystic ovaries, and oligo/anovulatory periods as typical symptoms and other multitude of chronic health issues that impact quality of life are linked to PCOS.PCOS patient and control group (non-PCOS) hormonal profiles are compared in this study.TSH, FSH, LH, and AMH are measured in this research. The results clarify the hormonal irregularities and consequences of PCOS.The data shows that women with PCOS had significantly greater AMH than controls, with a sensitivity and specificity of 93%.AMH has an NPV and PPV of 83% and 97%, respectively.The majority of PCOS patients reported higher LH levels than the control group, which had 86% sensitivity and 88% specificity. The LH level is impacted by PCOS, as seen by the 95% of PPV and 69%, of NPV.The FSH levels of controls and PCOS patients are comparable. Since FSH levels are comparable, the primary hormonal imbalance in PCOS is probably elevated LH and AMH. PCOS patients showed higher TSH levels than the control group, which may cause thyroid issues since 43% of PCOS patients had elevated TSH.These findings illuminate PCOS hormone abnormalities. Furthermore, people with PCOS are more prone than the general population to suffering from the morbidity related to metabolic and cardiovascular diseases.Understanding the hormonal imbalances linked to PCOS makes future research easier, which is required to understand the etiology of PCOS and hormone-regulated PCOS treatment.","PeriodicalId":509211,"journal":{"name":"Suranaree Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141363090","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}

引用次数: 0

THE MONTE CARLO FLUKA SIMULATION OF GAMMA-RAY AND NEUTRON ATTENUATION CHARACTERISTICS OF REFRACTORY HIGH ENTROPY ALLOYS 高熵难熔合金的伽马射线和中子衰减特性的蒙特卡洛氟卡模拟

Suranaree Journal of Science and Technology Pub Date : 2024-06-07 DOI: 10.55766/sujst-2024-02-e01595

Kittisak Sriwongsa

引用次数: 0

NUMERICAL INVESTIGATION OF FRP CONFINED RC SQUARE AND CIRCULAR COLUMNS UNDER CONCENTRIC COMPRESSION LOAD 同心压缩荷载作用下 FRP 约束 RC 方柱和圆柱的数值研究

Suranaree Journal of Science and Technology Pub Date : 2024-06-07 DOI: 10.55766/sujst-2024-02-e03172

M. Patel, Anant Parghi, M. H. Lunagaria

{"title":"NUMERICAL INVESTIGATION OF FRP CONFINED RC SQUARE AND CIRCULAR COLUMNS UNDER CONCENTRIC COMPRESSION LOAD","authors":"M. Patel, Anant Parghi, M. H. Lunagaria","doi":"10.55766/sujst-2024-02-e03172","DOIUrl":"https://doi.org/10.55766/sujst-2024-02-e03172","url":null,"abstract":"In this study, the behavior of square and circular reinforced concrete (RC) columns confined with fiber reinforced polymer (FRP) composites were compared using the finite element model (FEM) under axial compressive load. The different parameters are considered as the type of FRP confinement such as carbon and glass, grade of concrete, and aspect ratios of the columns. The verified model was used to study the different parameters to investigate the different geometric and materials properties on the axial capacity of the columns. The results revealed a significant increase in the strength and ductility of both the square and circular columns due to FRP confinement. The carbon FRP was slightly more effective in enhancing column strength due to their higher modulus of elasticity compared to the glass FRP. The study also found that higher grades of concrete and lower aspect ratios led to higher strength and ductility in confined columns. Overall, the study suggests that the use of FRP composites for the confinement of RC columns is a viable method for enhancing their strength and ductility. These findings can be valuable for designing and retrofitting RC columns with FRP composites in practical applications.","PeriodicalId":509211,"journal":{"name":"Suranaree Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141372549","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}

引用次数: 0

PV ENERGY FORECASTING USING DEEP LEARNING ALGORITHM 利用深度学习算法进行光伏能源预测

Suranaree Journal of Science and Technology Pub Date : 2024-06-06 DOI: 10.55766/sujst-2024-02-e02972

Rajnish, Sumit Saroha, Manish Saini

引用次数: 0

THE EFFECTIVENESS AND EFFICIENCY OF OPUNTIA FICUS-INDICA (OFI) POWDER IN REMOVING Fe, Mn, AND As METAL CONTAMINATION IN WATER TREATMENT 水处理中 OPUNTIA FICUS-INDICA (OFI) 粉去除铁、锰和砷金属污染的效果和效率

Suranaree Journal of Science and Technology Pub Date : 2024-04-19 DOI: 10.55766/sujst-2024-01-e02530

A. R. Alfian, Nindi Octaviani, Aken Puti Nandi Nanti, Muhammad Varrel Anandito, Shirly Rizky, Trianda Nurlia Hidayat

{"title":"THE EFFECTIVENESS AND EFFICIENCY OF OPUNTIA FICUS-INDICA (OFI) POWDER IN REMOVING Fe, Mn, AND As METAL CONTAMINATION IN WATER TREATMENT","authors":"A. R. Alfian, Nindi Octaviani, Aken Puti Nandi Nanti, Muhammad Varrel Anandito, Shirly Rizky, Trianda Nurlia Hidayat","doi":"10.55766/sujst-2024-01-e02530","DOIUrl":"https://doi.org/10.55766/sujst-2024-01-e02530","url":null,"abstract":"The use of Alum in water treatment has a negative impact on human health if used in the long term. The potential of Opuntia ficus indica (OFI) to be used as an organic coagulant that comes directly from nature can minimize metal contamination. Hence, OFI could be used as a new alternative in water treatment. The purpose of this study was to determine the effectiveness and efficiency of OFI in eliminating Fe, Mn, and As contamination. This research was conducted for four months at the University of Andalas. The research method was done by making metal-contaminated water samples, making OFI extract in the shape of powder form, then carrying out the FTIR test, providing treatment in the Laboratory of Organic Chemistry of Natural Materials Department of Chemistry Faculty of Mathematics and Natural Sciences, Universitas Andalas, then conducting Atomic Absorption Spectroscopy (AAS) testing for Fe metals and Mn metals and UV-Vis spectrophotometer test for metals as metals in the West Sumatra Regional Health Laboratory. Analysis of the results of the AAS test and UV-Vis spectrophotometer test showed that OFI powder is more effective and efficient than alum in removing metal contamination. OFI powder is optimal at a mass of 50 mg for removing Mn metal contamination and 100 mg for removing Fe metal contamination, while As metal cannot be identified because the before and after values are smaller than 0.01 mg/L. OFI powder is also more efficient because it is cheaper, easier to cultivate and use by the public, and does not cause side effects on health. It is hoped that the use of OFI powder as a natural coagulant can be used massively by the community.","PeriodicalId":509211,"journal":{"name":"Suranaree Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140684524","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}

引用次数: 0

NOVEL REMINISCENCE INSPIRED AND APPROXIMATION BASED MEASUREMENT OF MOUNT KAILASH OPTIMIZATION ALGORITHMS 受记忆启发、基于近似测量的新颖开拉什山优化算法

Suranaree Journal of Science and Technology Pub Date : 2024-04-19 DOI: 10.55766/sujst-2024-01-e03075

Lenin Kanagasabai

引用次数: 0