2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)最新文献_第9页

Revolutionizing Telehealthcare: Cloud Computing as the Catalyst for a New Medical Frontier 变革远程医疗：云计算是医疗新领域的催化剂

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459710

Mohana Hari Mohan, Muhammad Ehsan Rana

{"title":"Revolutionizing Telehealthcare: Cloud Computing as the Catalyst for a New Medical Frontier","authors":"Mohana Hari Mohan, Muhammad Ehsan Rana","doi":"10.1109/ICETSIS61505.2024.10459710","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459710","url":null,"abstract":"In an era where telehealthcare is becoming increasingly pivotal, this paper presents an extensive exploration of cloud computing as the key to unlocking its full potential. The research pivots around the unprecedented challenges and opportunities brought forth by the COVID-19 pandemic, showcasing cloud computing as a transformative force in telehealthcare. It meticulously dissects the critical issues of scalability, data security, and real-time analytics, offering robust solutions through cloud technology. This study extends beyond theoretical analysis, providing a detailed comparative assessment of leading cloud service providers such as Amazon Web Services, Microsoft Azure, and Google Cloud, and their instrumental roles in redefining healthcare delivery. Through a series of compelling case studies, the paper vividly illustrates the real-world impact of cloud computing in telehealthcare, underpinned by both quantitative and qualitative evaluations. Furthermore, it navigates the complex landscape of technical, economic, and user-centric considerations, culminating in strategic policy recommendations. This paper not only charts a new course in telehealthcare but also serves as a beacon for future research and implementation in the field, positioning cloud computing as the cornerstone of modern medical innovation.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":"104 5-6","pages":"1333-1341"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530386","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

Unleashing the Power of Digital Skills in Human Resources: Exploring the Relationship between Digital Transformation and Job Performance in the Government of Bahrain 释放人力资源数字技能的力量：探索巴林政府数字化转型与工作绩效之间的关系

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459615

A. Muttar, Ayda Isa Al Saadoon, M. Abdeldayem, S. Aldulaimi

{"title":"Unleashing the Power of Digital Skills in Human Resources: Exploring the Relationship between Digital Transformation and Job Performance in the Government of Bahrain","authors":"A. Muttar, Ayda Isa Al Saadoon, M. Abdeldayem, S. Aldulaimi","doi":"10.1109/ICETSIS61505.2024.10459615","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459615","url":null,"abstract":"This study aimed to examine the impact of digital skills of human resources, which was measured through (digital literacy, communication and cooperation, solving technical problems) on the job performance which measured in this study through (quality, efficiency, achievement) of the employees in the public schools in the Kingdom of Bahrain. The study further used the descriptive research method by using within the questionnaire instrument to collect the data which was formulated based on previous studies with a five-point Likert scale. The study analyzed the data and tested the research hypotheses by using the Statistical Packages for Social Sciences SPSS through some tests include one-way analysis of variance, regression analysis, reliability, and differences between groups. The results found a statistically significant impact of the digital skills of human resources in its dimensions (digital literacy, communication and cooperation, and solving technical problems) on the job performance in the Bahraini public schools. Also, the results revealed differences among the sample's perceptions about the digital skills for human resources and job performance due to the gender variable in favor of females, and a difference in the sample's perceptions due to the age, educational qualification and job title variable, while the years of experience variable came with no differences between the groups.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":"413 8","pages":"73-77"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530404","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 Review and Bibliometric Analysis of Blockchain Adoption Within the Context of Smart Construction Projects 智能建筑项目背景下的区块链应用回顾与文献计量分析

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459703

A. M. Alawag, W. Alaloul, Baker Nasser Saleh Al-dhawi, Abdullah O. Baarimah, Mahmood A. Bazel, Ahmed W. Mushtaha

{"title":"A Review and Bibliometric Analysis of Blockchain Adoption Within the Context of Smart Construction Projects","authors":"A. M. Alawag, W. Alaloul, Baker Nasser Saleh Al-dhawi, Abdullah O. Baarimah, Mahmood A. Bazel, Ahmed W. Mushtaha","doi":"10.1109/ICETSIS61505.2024.10459703","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459703","url":null,"abstract":"Construction, like any other industry, is prone to conflicts. The construction industry has witnessed a rapid transformation driven by advancements in technology, with a particular focus on smart construction projects aimed at improving efficiency, transparency, and collaboration. Blockchain technology offers a decentralized method of managing the data and promotes the performance and sustainability of building projects. Nevertheless, a comprehensive analysis of the present status of blockchain research integration has not been undertaken utilizing scientometric analysis. This paper presents a comprehensive review and bibliometric analysis of blockchain technology adoption within the context of intelligent construction projects from 2018 through 2023. A total of 1079 papers were extracted from the Scopus database. The VOSviewer tool was used to visually represent the literature including various countries, scholarly publications, and keywords. Moreover, using an analysis of often-used phrases, three significant study fields associated with blockchain have been identified “Management,” “Project,” and “Building.”. This article contributes to the existing body of knowledge by synthesizing the current state of research on blockchain technology in smart construction projects, offering a holistic view of its applications, and highlighting areas that require further investigation.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":"350 3","pages":"805-811"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530486","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

Sustainable Solutions: The Impact of Green Technologies in University Operations 可持续解决方案：绿色技术对大学运作的影响

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459406

Ali Ateeu, M. Alaghbari, A. Al-Refaei, Ammar Yousif Ahmed

{"title":"Sustainable Solutions: The Impact of Green Technologies in University Operations","authors":"Ali Ateeu, M. Alaghbari, A. Al-Refaei, Ammar Yousif Ahmed","doi":"10.1109/ICETSIS61505.2024.10459406","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459406","url":null,"abstract":"This research investigates the use and consequences of environmentally-friendly technology in the operational activities of universities. We evaluate the incorporation of sustainable practices into the instructional structure and operational strategies of higher education institutions by conducting a thorough examination of relevant literature and conducting a comparative study. The methodological approach is based on a conceptual framework that combines the Triple Bottom Line theory with scholarly stakeholder involvement, offering a comprehensive view of sustainability from several angles. We use a variety of multidisciplinary research to assess the effectiveness of green technology in promoting an environmentally conscious campus culture and decreasing the ecological impact. Initial results indicate that while universities are making progress in adopting green technology, there is still much potential for improving policies and involving the community in order to achieve complete sustainability. This study enhances the discussion on green technology in academia and provides a solid groundwork for future research avenues.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":"349 12","pages":"225-229"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530487","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

Optimizing Workforce Efficiency Using an Artificial Intelligence Approach: A Next-Gen HR Management System 利用人工智能方法优化劳动力效率：新一代人力资源管理系统

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459590

Priya Chanda, Sukanta Ghosh

{"title":"Optimizing Workforce Efficiency Using an Artificial Intelligence Approach: A Next-Gen HR Management System","authors":"Priya Chanda, Sukanta Ghosh","doi":"10.1109/ICETSIS61505.2024.10459590","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459590","url":null,"abstract":"Human capital is a paramount asset within any organization, evolving into distinct facets that fortify its competitive edge amid a perpetually shifting market landscape. Securing high-quality candidates necessitates minimizing human intervention and validating candidate credentials during recruitment. Moreover, gauging employee performance and anticipating attrition prove pivotal in effective human resource management. This study endeavors to introduce an innovative human resource management system employing machine learning and blockchain. The objective is to create an intelligent system that reduces human subjectivity and time in candidate selection while forecasting employee performance and attrition. Leveraging unsupervised learning algorithms and natural language processing, the system conducts skill assessment and resumes categorization after the extraction of raw data via object character recognition. Candidate validation relies on comparing blockchain-stored records. Supervised machine learning classification predicts employee performance and attrition with high precision, generating standardized scores based on multiple attributes aligned with specific e-competence frameworks, aiming to foster workplace productivity while minimizing financial losses.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":"410 17","pages":"1416-1421"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530410","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

MTU Analyzing for Data Centers Interconnected Using VxLAN 使用 VxLAN 互联数据中心的 MTU 分析

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459403

Mohamed Elmadani, Salem Sati

{"title":"MTU Analyzing for Data Centers Interconnected Using VxLAN","authors":"Mohamed Elmadani, Salem Sati","doi":"10.1109/ICETSIS61505.2024.10459403","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459403","url":null,"abstract":"Network virtualization offers advanced technology solutions for data centers and clouds, specifically through the use of Virtual eXtensible Local Area Network (VxLAN) to interconnect multiple data centers. Nonetheless, it is crucial to take into account the Maximum Transmission Unit (MTU) when implementing overlay VxLAN technology. This technology introduces additional overhead to network packets, and exceeding the MTU can result in performance degradation and increased processing overhead due to packet fragmentation. The Virtual Tunneling End Point (VTEP) is employed in VxLAN overlay tunneling but does not forward packets that exceed the path MTU, leading to packet loss and significant delays caused by network misconfiguration. This paper thoroughly examines the issues related to MTU size and emphasizes the overhead introduced by overlay technologies like VxLAN. Additionally, it highlights the necessity of implementing MTU discovery features. Simulation results demonstrate that enabling MTU discovery features allows hosts to avoid packet loss while ensuring network stability and adaptability. Conversely, manually adjusting the MTU size may be restricted or blocked by device vendors, especially when data centers are interconnected via third-party networks. By comparing the manual configuration approach with MTU discovery methods, data center administrators can make informed decisions. The simulation results clearly indicate that MTU discovery surpasses manual configuration in terms of throughput, reduces packet loss, and minimizes delays.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":"405 17","pages":"1825-1829"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530021","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

Privacy Issues in Zoom-Based Webinars 基于 Zoom 的网络研讨会中的隐私问题

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459396

Rafi Indra Permana, Nur Aini Rakhmawati

引用次数: 0

Distributed Energy Sources Management using Shuffled Frog-Leaping Algorithm for Optimizing the Environmental and Economic Indices of Smart Microgrid 利用洗牌蛙跳算法管理分布式能源，优化智能微电网的环境和经济指标

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459405

Nadia Gouda, Hamed H. Aly

{"title":"Distributed Energy Sources Management using Shuffled Frog-Leaping Algorithm for Optimizing the Environmental and Economic Indices of Smart Microgrid","authors":"Nadia Gouda, Hamed H. Aly","doi":"10.1109/ICETSIS61505.2024.10459405","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459405","url":null,"abstract":"When employing renewable energy within a smart micro grid (SMG), the management of distributed energy resources (DER) plays a crucial role in optimizing practical objectives of SMG. This study utilizes the Shuffled frog leaping algorithm (SFLA) to manage DER and implement demand response programs (DSP), aiming to optimize economic, technical and environmental problems of SMG. The modeling of renewable energy resources (RES) is a challenge due to its uncertainty, therefore, cumulative distribution function (CDF) is used for predicting the energy sources before its integration with SMG. The DER included in this study consists of the wind and solar energy, battery, micro turbine and the utility. This model is implemented in three different scenarios: a) basic grid operation, b) operation with maximum usage of renewable energy resources, c) operation with maximum usage of RES and DRP. The results obtained show the superiority of proposed SFLA algorithm in terms of avoiding pre-mature convergence which is a common challenge in optimization, and achieving global optimum for the proposed objectives. For validation, this model is implemented in MAT LAB considering different constraints.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":"256 3","pages":"1507-1511"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530227","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

From Mix Design to Strength Prediction: Ensemble Learning Application on the Performance of High-Performance Concrete 从混合设计到强度预测：高性能混凝土性能中的集合学习应用

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459460

Md Arifuzzaman, Abdulrahman Fahad Alfuhaid, Abm Saiful Islam, M. T. Bhuiyan, Mokammel Hossain Tito, Aniq Gul

{"title":"From Mix Design to Strength Prediction: Ensemble Learning Application on the Performance of High-Performance Concrete","authors":"Md Arifuzzaman, Abdulrahman Fahad Alfuhaid, Abm Saiful Islam, M. T. Bhuiyan, Mokammel Hossain Tito, Aniq Gul","doi":"10.1109/ICETSIS61505.2024.10459460","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459460","url":null,"abstract":"In the realm of construction, achieving high-performance concrete (HPC) involves incorporating supplementary materials like fly ash and blast furnace slag, along with superplasticizer. The conventional water-to-cement ratio (w/c) concept, established by Abrams in 1918, asserts an inverse relationship between w/c ratio and concrete strength in HPC. However, a critical analysis of experimental data challenges this perspective, revealing that the paste quantity also significantly influences comparable cement strength, introducing complexity to our understanding of HPC and concrete strength dynamics. Furthermore, an exploration of concrete mix models and machine learning algorithms sheds light on variables impacting compressive strength. Surprisingly, blast furnace slag emerges as a predominant contributor, highlighting the significance of water management. Key factors like cement and aggregates play pivotal roles in shaping compressive strength. Notably, the Vote algorithm demonstrates exceptional predictive accuracy with a high correlation coefficient (0.919) and low mean absolute error (4.9166), while RandomForest and AdditiveRegression also exhibit commendable performance, striking a balance between accuracy and efficiency. These insights guide decisions in concrete mix design and machine learning model selection, offering valuable guidance for optimal outcomes across diverse applications in construction.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":"192 1","pages":"1584-1588"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530245","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

Implementation of Self-Learning Topic for Developing Interactive Mobile Application in Flutter Programming Learning Assistance System 在 Flutter 编程学习辅助系统中实现开发交互式移动应用程序的自学主题

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459432

Y. Syaifudin, Dionisius Damarta Yapenrui, Noprianto, Nobuo Funabiki, I. Siradjuddin, Hidayati Nur Chasanah

{"title":"Implementation of Self-Learning Topic for Developing Interactive Mobile Application in Flutter Programming Learning Assistance System","authors":"Y. Syaifudin, Dionisius Damarta Yapenrui, Noprianto, Nobuo Funabiki, I. Siradjuddin, Hidayati Nur Chasanah","doi":"10.1109/ICETSIS61505.2024.10459432","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459432","url":null,"abstract":"Smartphones have drastically transformed communication and information access, becoming integral to various aspects of daily life. The surge in mobile application adoption for diverse needs has further solidified their importance. The study is motivated by the rising popularity of Flutter in mobile application development, particularly for interactive applications, due to its cross-platform capabilities and ability to create visually appealing interfaces with customizable widgets. However, there is a notable gap in mobile programming education, with a need for practical, hands-on learning. To address this, a learning topic in the Flutter Programming Learning Assistance System (FPLAS) is proposed which aims to facilitate self-learning in Android programming using Flutter. It incorporates test-driven development and automated testing, making it easier for students to learn through a project-based approach. The system's effectiveness was validated through an evaluation involving 40 students, resulting in a 100% success rate and positive feedback, highlighting its utility in enhancing UI design and programming skills, though some constructive suggestions were noted for improvement.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":"90 7-8","pages":"1103-1107"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530391","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