AIUB Journal of Science and Engineering (AJSE)最新文献_第3页

A comprehensive dataset for aspect-based sentiment analysis in evaluating teacher performance 基于方面的情感分析评估教师绩效的综合数据集

AIUB Journal of Science and Engineering (AJSE) Pub Date : 2023-08-22 DOI: 10.53799/ajse.v22i2.862

Abhijit Bhowmik, N. Mohd, M. Noor, Saef Ullah, M. Miah, Mazid-Ul-Haque Debajyoti, Karmaker

{"title":"A comprehensive dataset for aspect-based sentiment analysis in evaluating teacher performance","authors":"Abhijit Bhowmik, N. Mohd, M. Noor, Saef Ullah, M. Miah, Mazid-Ul-Haque Debajyoti, Karmaker","doi":"10.53799/ajse.v22i2.862","DOIUrl":"https://doi.org/10.53799/ajse.v22i2.862","url":null,"abstract":"Teacher performance evaluation is an essential task in the field of education. In recent years, aspect-based sentiment analysis (ABSA) has emerged as a promising technique for evaluating teaching performance by providing a more nuanced analysis of student evaluations. This article presents a novel approach for creating a large-scale dataset for ABSA of teacher performance evaluation. The dataset was constructed by collecting student feedback from American International University-Bangladesh and then labeled by undergraduate-level students into three sentiment classes: positive, negative, and neutral. The dataset was carefully cleaned and preprocessed to ensure data quality and consistency. The final dataset contains over 2,000,000 student feedback instances related to teacher performance, making it one of the largest datasets for ABSA of teacher performance evaluation. This dataset can be used to develop and evaluate ABSA models for teacher performance evaluation, ultimately leading to better feedback and improvement for educators. The results of this study demonstrate the usefulness and effectiveness of ABSA in evaluating teacher performance and highlight the importance of creating high-quality datasets for this task.","PeriodicalId":224436,"journal":{"name":"AIUB Journal of Science and Engineering (AJSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125784017","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

A Centralized Multi-Criteria Method for Scheduling Tasks in a Cloud Computing Environment 云计算环境下任务调度的集中多准则方法

AIUB Journal of Science and Engineering (AJSE) Pub Date : 2023-08-22 DOI: 10.53799/ajse.v22i2.506

Ehsan Shojaeian, M. Mohsenzadeh, M. Sahrapour

引用次数: 0

Time Multiplexed Optical-OFDMA for Uplink Transmission in LiFi-based IoT Networks 基于lifi的物联网网络中上行传输的时间复用光ofdma

AIUB Journal of Science and Engineering (AJSE) Pub Date : 2023-08-17 DOI: 10.53799/ajse.v22i2.522

Md. Jahid Hasan, Oussama Haddad, I. C. Ijeh, Md. Abdur Rahman

{"title":"Time Multiplexed Optical-OFDMA for Uplink Transmission in LiFi-based IoT Networks","authors":"Md. Jahid Hasan, Oussama Haddad, I. C. Ijeh, Md. Abdur Rahman","doi":"10.53799/ajse.v22i2.522","DOIUrl":"https://doi.org/10.53799/ajse.v22i2.522","url":null,"abstract":"The transfer of data from multiple internet of things (IoT) devices requires the use of a robust and efficient multiple access (MA) solution. This paper considers the orthogonal frequency division MA (OFDMA) technique for the light-fidelity (LiFi)-based IoT uplink using infrared to transmit data from multiple mobile users to a fixed access point. The conventional schemes based on orthogonal frequency allocate distinct subcarriers to each user sharing the same time slot. We consider a new approach by allocating distinct time slots to a group of OFDMA users. Taking into account realistic opto-electronic components, we study the performance of the conventional and proposed optical-OFDMA schemes. We show that asymmetrically clipped optical-OFDMA signaling scheme outperforms direct current biased signaling in terms of electrical power efficiency. Focusing on the asymmetrically clipped signaling, We demonstrate the robustness of our proposed time multiplexed optical-OFDMA scheme against MA interference caused by signal clipping. We also show the advantages of our scheme in reducing computational complexity by a factor of 2 compared to the conventional optical-OFDMA schemes. \u0000 ","PeriodicalId":224436,"journal":{"name":"AIUB Journal of Science and Engineering (AJSE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129998712","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

Solving First-Order Nonlinear Fuzzy Initial Value Problems Using Two-Step Block Method with Presence of Higher Derivatives 用两步分块法求解一阶非线性模糊初值问题

AIUB Journal of Science and Engineering (AJSE) Pub Date : 2023-08-17 DOI: 10.53799/ajse.v22i2.337

Kashif Hussain, O. Adeyeye, N. Ahmad

引用次数: 0

Predicting Adoption Intention of Artificial Intelligence ChatGPT 预测人工智能ChatGPT的采用意向

AIUB Journal of Science and Engineering (AJSE) Pub Date : 2023-08-17 DOI: 10.53799/ajse.v22i2.797

Mehedi Hasan Emon, Farheen Hassan, Md. Mehzabul Hoque Nahid, Vichayanan Rattanawiboonsom

{"title":"Predicting Adoption Intention of Artificial Intelligence ChatGPT","authors":"Mehedi Hasan Emon, Farheen Hassan, Md. Mehzabul Hoque Nahid, Vichayanan Rattanawiboonsom","doi":"10.53799/ajse.v22i2.797","DOIUrl":"https://doi.org/10.53799/ajse.v22i2.797","url":null,"abstract":"This study focuses on predicting the adoption intention of ChatGPT among Professionals in Bangladesh. ChatGPT, powered by natural language processing and artificial intelligence, has the potential to revolutionize communication and enhance productivity in professional settings. The Unified Theory of Acceptance and Use of Technology (UTAUT) is used as a theoretical framework to examine the variables that affect the adoption intention of ChatGPT. The study aims to understand the impact of attitude towards AI, performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, trust, behavioral intention to use, and actual use of ChatGPT among Professionals in Bangladesh. The research questions explore the relationships between these variables. The objectives of the study are to examine the relationship between attitude towards AI and behavioral intention to use ChatGPT, investigate the impact of performance expectancy and effort expectancy on behavioral intention to use, explore the effect of social influence and facilitating conditions on behavioral intention to use, assess the relationship between hedonic motivation and behavioral intention to use, investigate the influence of trust on behavioral intention to use, and analyze the relationship between behavioral intention to use and actual use of ChatGPT. The findings provide valuable insights into the factors influencing the adoption intention and actual use of ChatGPT. The study highlights the significance of strengthening behavioral intentions, emphasizing performance benefits and building trust, and creating facilitating conditions to promote adoption and utilization. The research contributes to the understanding of factors influencing the adoption and usage behavior of ChatGPT and offers practical implications for organizations and policymakers to maximize the benefits of artificial intelligence applications in the context of Bangladeshi Professionals.","PeriodicalId":224436,"journal":{"name":"AIUB Journal of Science and Engineering (AJSE)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123630314","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

Comparison of Various Feature Selection Algorithms in Speech Emotion Recognition 语音情感识别中各种特征选择算法的比较

AIUB Journal of Science and Engineering (AJSE) Pub Date : 2023-08-17 DOI: 10.53799/ajse.v22i2.357

K. Kaur, Parminder Singh

引用次数: 0

A Novel Stability Model for AC-DC Combined Simultaneous Power Flow 一种新的交直流联合同步潮流稳定性模型

AIUB Journal of Science and Engineering (AJSE) Pub Date : 2023-08-17 DOI: 10.53799/ajse.v22i2.682

Mohammad Tawhidul Alam, M. Mahbubur Rahman, Q. Ahsan

引用次数: 0

IoT-Based Smart Battery Management and Monitoring System for Electric Vehicles 基于物联网的电动汽车智能电池管理与监控系统

AIUB Journal of Science and Engineering (AJSE) Pub Date : 2023-08-17 DOI: 10.53799/ajse.v22i2.731

Khaleque Insi̇a, Abir Ahmed, Effat Jahan, S. Ahmad, Sreejon Barua, Imran Ali, Md. Rifat Hazari, M. Mannan

引用次数: 0

Second Law Analysis for Free Convection in an L-Shaped Cavity Filled with Nanofluid l型纳米流体腔内自由对流的第二定律分析

AIUB Journal of Science and Engineering (AJSE) Pub Date : 2023-08-17 DOI: 10.53799/ajse.v22i2.438

A. Nahar, Salma Parvin, Md. Hasanuzzaman

{"title":"Second Law Analysis for Free Convection in an L-Shaped Cavity Filled with Nanofluid","authors":"A. Nahar, Salma Parvin, Md. Hasanuzzaman","doi":"10.53799/ajse.v22i2.438","DOIUrl":"https://doi.org/10.53799/ajse.v22i2.438","url":null,"abstract":"The paper aims to analyze the effects of various Prandtl number and different nanoparticles for heat transfer and entropy generation of free convection laminar fluid flow in an L-shaped cavity filled by nanofluid. To investigate the second law characteristics of free convective flow and heat transfer from an L- shaped geometry filled by water and nanofluids (Cu-water, Ag-water, Al2O3-water), the effects of Prandtl number and various nanoparticles on the average Nusselt number, total entropy generation and Bejan number has been numerically analyzed. Isotherms, stream function and entropy generation caused by heat transfer are also presented for various Prandtl numbers and various nanoparticles. The governing equations are solved using penalty finite element method with Galerkins weighted residual technique. The results reveal that Ag-water nanofluid with highest Prandtl number gives the highest amount of irreversibility as well as rate of heat transfer. Cu-water and Ag-water nanofluid produces more irreversibilities than Al2O3-water nanofluid and base fluid. Also the results show that the Nusselt number and Bejan number increase with the increase of Prandtl number. Therefore, Prandtl number may be an important parameter for desired heat transfer increment with decreasing entropy generation in the given geometry.","PeriodicalId":224436,"journal":{"name":"AIUB Journal of Science and Engineering (AJSE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123121000","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

A Recommendation System Based on Implicit Data for Internet Protocol Television (IPTV) 基于隐式数据的IPTV推荐系统

AIUB Journal of Science and Engineering (AJSE) Pub Date : 2023-08-17 DOI: 10.53799/ajse.v22i2.491

Lama Mansour, Zainab H. Omran, Ghaydaa Mnsoor Kaddoura, M. Dakkak, Yasser Rahhal

{"title":"A Recommendation System Based on Implicit Data for Internet Protocol Television (IPTV)","authors":"Lama Mansour, Zainab H. Omran, Ghaydaa Mnsoor Kaddoura, M. Dakkak, Yasser Rahhal","doi":"10.53799/ajse.v22i2.491","DOIUrl":"https://doi.org/10.53799/ajse.v22i2.491","url":null,"abstract":"IPTV delivers television content over Internet Protocol (IP) networks. Videos On Demand (VOD) is the most popular IPTV, allowing users to freely select from a vast pool of program genres. Therefore, it is necessary to introduce innovative features to attract new users and retain existing ones. For this purpose, IPTV systems typically use VOD recommendation engines. The primary purpose of recommendation systems is to suggest user-relevant items from various items by producing a list of recommendations for each user. In this paper, we introduce an approach to recommendation systems in IPTV. We developed this approach on implicit feedback derived from users’ interaction with movies/series sets, such as how many times they watched a movie and how long they have spent watching specific movies/series. For the previous factors, we tested a variety of recommendation algorithms, content-based, collaborative-based, and hybrid. Then applied the previously mentioned algorithms on real-life big data sets after introducing some modifications to the algorithms, then benchmarked the results on multiple performance metrics. We noticed that the applied changes achieved promising results.","PeriodicalId":224436,"journal":{"name":"AIUB Journal of Science and Engineering (AJSE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115390662","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