AIUB Journal of Science and Engineering (AJSE)最新文献_第2页

Calibration and Validation of INA219 as Sensor Power Monitoring System using Linear Regression 利用线性回归校准和验证作为传感器功率监控系统的 INA219

AIUB Journal of Science and Engineering (AJSE) Pub Date : 2023-12-27 DOI: 10.53799/ajse.v22i3.595

Farah Yuki, Dewanto Prasetyawati, Ahmad Harjunowibowo, Bayu Fauzi, Utomo Dani, Harmanto, D. Harjunowibowo, Ahmad Fauzi, Dani Harmanto

引用次数: 0

The Thermal Absorption/Generation on Ferro-fluid Combined Convective Flow Over Curvilinear Porous Surfaces 曲线多孔表面上铁流体联合对流的吸热/发热现象

AIUB Journal of Science and Engineering (AJSE) Pub Date : 2023-12-27 DOI: 10.53799/ajse.v22i3.546

Maleque Kh. Abdul

{"title":"The Thermal Absorption/Generation on Ferro-fluid Combined Convective Flow Over Curvilinear Porous Surfaces","authors":"Maleque Kh. Abdul","doi":"10.53799/ajse.v22i3.546","DOIUrl":"https://doi.org/10.53799/ajse.v22i3.546","url":null,"abstract":"In the influence of fluid buoyancy forces, the ferrofluid combined convective flow in porous curvilinear surfaces is studied with thermal generation/absorption effect. In the ambient flow conditions, the pressure gradient terms and ferrofluid buoyancy forces are replaced by the free steam velocity . The governing equations of the present problem are converted to ODEs by introducing non-dimensional functions and similarity variable. Boundary conditions of first derivative of velocities and temperature of our problem were constructed by the initial value problem, also the unknown initial conditions are found by shooting methods, and then a set of ODEs is solved numerically by the integration scheme of the six-order Range-Kutta method. The results of the solutions are presented graphically of velocity and thermal profiles with the help of MATLAB for different values of suction parameter and heat absorption parameter . Finally, the comparisons of the results highlight the justification of the numerical calculation accepted in the presence study. The problems in curvilinear surface study of boundary layer flow are complicated in fluid mechanics with applications of natural science and engineering.","PeriodicalId":224436,"journal":{"name":"AIUB Journal of Science and Engineering (AJSE)","volume":"77 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139154403","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

Probabilistic Modeling for Conditional Statements 条件语句的概率建模

AIUB Journal of Science and Engineering (AJSE) Pub Date : 2023-12-22 DOI: 10.53799/ajse.v22i3.841

Alaa Ghazi, Yasir Hashim

引用次数: 0

DSC Index: Measuring the Digital Supply Chain Practice among the Higher Education Institutions Community in Least Developed Countries DSC 指数：衡量最不发达国家高等教育机构社区的数字供应链实践

AIUB Journal of Science and Engineering (AJSE) Pub Date : 2023-12-22 DOI: 10.53799/ajse.v22i3.886

Nurakmal Ahmad Mustaffa, M. Zulkifli, Manzur Hossain, Khan, Malaysia Utara Malaysia, Manzur Hossain Khan

{"title":"DSC Index: Measuring the Digital Supply Chain Practice among the Higher Education Institutions Community in Least Developed Countries","authors":"Nurakmal Ahmad Mustaffa, M. Zulkifli, Manzur Hossain, Khan, Malaysia Utara Malaysia, Manzur Hossain Khan","doi":"10.53799/ajse.v22i3.886","DOIUrl":"https://doi.org/10.53799/ajse.v22i3.886","url":null,"abstract":"The 4th Industrial Revolution, more commonly referred to as Industry 4.0, has brought about a wave of multifaceted changes across the industrial spectrum around the world, and it has triggered the digitalisation of supply chains and their management regardless of the type of organisation. With increasing interconnectivity through various sectors, digital supply chain (DSC) practices and intentions have also become integral to higher education institutions. As streamlined, automated administrative processes and virtual classes conducted through online platforms become the norm, digitalisation has been catalysed in the education sector. However, several sociocultural, economic, and psychographic factors influence the adaptation of new technologies, especially in developing countries such as Bangladesh. This study uses the composite index approach to determine the Index derived from the correlation between the factors and their impact on the DSC practices and intentions. The study indicates that Trust (T) is the primary influencer, along with Performance Expectancy (PE), closely followed by Facilitating Value (FV), Facilitating Conditions (FC), and Digital Literacy (DL).","PeriodicalId":224436,"journal":{"name":"AIUB Journal of Science and Engineering (AJSE)","volume":"23 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139164862","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

Aspect-based Sentiment Analysis Model for Evaluating Teachers' Performance from Students' Feedback 从学生反馈中评估教师绩效的基于方面的情感分析模型

AIUB Journal of Science and Engineering (AJSE) Pub Date : 2023-12-22 DOI: 10.53799/ajse.v22i3.921

Abhijit Bhowmik, Noorhozaimi Mohd. Nur, M. Saef, U. Miah, Debajyoti Karmekar

{"title":"Aspect-based Sentiment Analysis Model for Evaluating Teachers' Performance from Students' Feedback","authors":"Abhijit Bhowmik, Noorhozaimi Mohd. Nur, M. Saef, U. Miah, Debajyoti Karmekar","doi":"10.53799/ajse.v22i3.921","DOIUrl":"https://doi.org/10.53799/ajse.v22i3.921","url":null,"abstract":"Evaluating teachers' performance is a fundamental pillar of educational enhancement, guiding the evolution of pedagogical practices and fostering enriched learning environments. This study pioneers an innovative approach by harnessing sentiment analysis within an aspect-based framework to decipher the intricate emotional nuances embedded within students' feedback. By categorizing sentiments as positive, negative, and neutral, we delve into the diverse perceptions of teaching aspects, offering a multifaceted portrait of educators' contributions. Through meticulous data collection, preprocessing, and a deep learning sentiment analysis model, we dissected student comments into distinct teaching aspects. The subsequent sentiment analysis unearthed positive, negative, and neutral sentiments. Positive sentiments highlighted strengths and effective communication, while negative sentiments illuminated areas for growth. Neutral sentiments provided contextual equilibrium, forming a holistic tapestry of teachers' performance. The proposed model achieved 86% F1 score for classifying sentiments into three classes.","PeriodicalId":224436,"journal":{"name":"AIUB Journal of Science and Engineering (AJSE)","volume":"49 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139165903","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

Unraveling the Burden of T2D among the Adolescents in Bangladesh: A Statistical Exploration of Prevalence and Influencing Factors 揭示孟加拉国青少年 T2D 的负担：患病率和影响因素的统计分析

AIUB Journal of Science and Engineering (AJSE) Pub Date : 2023-12-22 DOI: 10.53799/ajse.v22i3.786

M. Ahmmed, M. M. Rahman, Mahfuz Khatun

{"title":"Unraveling the Burden of T2D among the Adolescents in Bangladesh: A Statistical Exploration of Prevalence and Influencing Factors","authors":"M. Ahmmed, M. M. Rahman, Mahfuz Khatun","doi":"10.53799/ajse.v22i3.786","DOIUrl":"https://doi.org/10.53799/ajse.v22i3.786","url":null,"abstract":"This study aims to investigate the prevalence and determining factors of Type 2 Diabetes (T2D) among youths in Bangladesh using a statistical approach. The research objectives were to determine the prevalence of T2D in this population and identify the factors associated with its occurrence. A survey questionnaire was formed encompassing certain relevant variables. A sample of youths was selected through cluster sampling strategy. By collecting relevant data and employing appropriate statistical analyses, the study provided insights into the prevalence and associated factors of T2D among the youths, which can contribute to the development of effective prevention and management strategies. Statistical analyses were performed using chi-square tests and logistic regression, to explore the relationships between T2D prevalence and the determining factors identified in the study. Lifestyle factors played a significant role in the development of T2D among youths. Besides, certain socio-demographic factors like occupation, education, income, age, marital status, and residential origin were found to be associated with an increased risk of T2D among youths in Bangladesh. These findings highlight the multifactorial nature of T2D among youths in Bangladesh. Addressing these factors through targeted interventions and public health policies can play a crucial role in preventing and managing T2D in this population. The study emphasized the importance of health awareness and education programs targeting youths in Bangladesh. The findings from this study can contribute to the development of evidence-based strategies to prevent and manage T2D in this population, ultimately reducing the burden of T2D in Bangladesh","PeriodicalId":224436,"journal":{"name":"AIUB Journal of Science and Engineering (AJSE)","volume":"35 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139164592","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

Modeling and performance analysis of a transparent multilayer solar cell 透明多层太阳能电池的建模和性能分析

AIUB Journal of Science and Engineering (AJSE) Pub Date : 2023-12-20 DOI: 10.53799/ajse.v22i3.580

Maria Sultana Rupa, M.Tanseer Ali, Mohammad Abdul Mannan, Mehedi Hasan

引用次数: 0

Employee Promotion Prediction Using Improved AdaBoost Machine Learning Approach 使用改进的 AdaBoost 机器学习方法预测员工晋升情况

AIUB Journal of Science and Engineering (AJSE) Pub Date : 2023-12-20 DOI: 10.53799/ajse.v22i3.781

Md. Abu Jafor, Md. Anwar Hussen Wadud, Kamruddin Nur, Mohammad Motiur Rahman

{"title":"Employee Promotion Prediction Using Improved AdaBoost Machine Learning Approach","authors":"Md. Abu Jafor, Md. Anwar Hussen Wadud, Kamruddin Nur, Mohammad Motiur Rahman","doi":"10.53799/ajse.v22i3.781","DOIUrl":"https://doi.org/10.53799/ajse.v22i3.781","url":null,"abstract":"Employee promotion is an important aspect of the human resource management process. Due to different factors, it refers to the automatic improvement among the employees in an organization. Promoting employees from the lower level to the higher level brings a feeling of satisfaction among the employees. It improves their job satisfaction and motivation by providing more significant income, status, and responsibilities. By building up loyalty, promotion reduces employee attrition. Thus, it is difficult to accurately decide, whether an employee should or should not be promoted based on their current and past performance. So, human resource management does research about promotion, because there are a limited number of research about the finding of employee promotion prediction in the existing studies. First, to find the reasons for employee promotion, we need to analyze the research study for finding the factors which are related to the promotion. The aim of this research study is to implement an employee promotion prediction framework using machine learning. A modified AdaBoost classifier is used for automatic promotion prediction, and six machine learning techniques for instance, Support Vector Machine (SVM), Logistic Regression (LR), Artificial Neural Network (ANN), Random Forest (RF), XGBoost (XGB), and AdaBoost are applied in performance comparison. Through a complex assessment process, the performance of these supervised machine learning algorithms for predicting employee advancement is analyzed using assessment metrics on the employees' evaluation dataset for promotion prediction. The Artificial Neural Network (ANN) and AdaBoost model provide better results on this dataset than all traditional machine learning techniques. Finally, Our proposed modified AdaBoost approach outperformed all other methods evaluated with an accuracy of 95.30%.","PeriodicalId":224436,"journal":{"name":"AIUB Journal of Science and Engineering (AJSE)","volume":"174 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139169809","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

Influence of the ratio of nozzle inlet to nozzle throat areas on the performance of a jet pump for vacuum applications using computational fluid dynamics 利用计算流体动力学研究喷嘴入口与喷嘴喉部面积之比对真空应用喷射泵性能的影响

AIUB Journal of Science and Engineering (AJSE) Pub Date : 2023-12-20 DOI: 10.53799/ajse.v22i3.489

Jose Alfredo Palacio, Ivan Patino, William Orozco

{"title":"Influence of the ratio of nozzle inlet to nozzle throat areas on the performance of a jet pump for vacuum applications using computational fluid dynamics","authors":"Jose Alfredo Palacio, Ivan Patino, William Orozco","doi":"10.53799/ajse.v22i3.489","DOIUrl":"https://doi.org/10.53799/ajse.v22i3.489","url":null,"abstract":"The nozzle design is one of the most important issues because it determines the pressure range and the other dimensions to guarantee an adequate performance of a jet_pump. An incorrect design of this part can cause shock waves and unnecessary overexpansion of the power fluid. The nozzle’s main purpose is to allow the high-pressure, low-velocity primary fluid to be accelerated in such a way as to substantially decrease the fluid pressure while increasing its velocity. This is achieved because the subsonic flow accelerates when entering the convergent part of the nozzle, obtaining a sonic or supersonic flow at the nozzle throat that accelerates even more when entering the divergent part of the nozzle. Therefore, to achieve the highest possible nozzle discharge velocity, the nozzle must be able to change the flow conditions from subsonic to supersonic. Considering the high importance of the nozzle design in the jet_pump performance, five cases are simulated in the present work, where the ratio of nozzle inlet to nozzle throat areas is modified (10,15,20,25 y 30), to study the behavior of three performance parameters, namely, drag coefficient (Cd), pressure ratio (PR) and Energy Efficiency (η), as well as the Mach number (Ma) and velocity fields.","PeriodicalId":224436,"journal":{"name":"AIUB Journal of Science and Engineering (AJSE)","volume":"15 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139168260","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

Modeling an Agricultural Microgrid using pvlib-python: A Case Study in Bangladesh 使用 pvlib-python 为农业微电网建模：孟加拉国案例研究

AIUB Journal of Science and Engineering (AJSE) Pub Date : 2023-12-20 DOI: 10.53799/ajse.v22i3.733

Sayeed Hasan, Md. Rifat Hazari, Effat Jahan, Mohammad Abdul Mannan

引用次数: 0