2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)最新文献_第10页

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

Ontology-Based Conversational Recommender System for Motorcycle 基于本体的摩托车会话推荐系统

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459532

Muhammad Nur Iqbal Wariesky, Z. Baizal

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

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

Cotton Plant Disease Prediction and Remedy Recommendation System 棉花植物病害预测和补救建议系统

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459606

Vaidehi Manurkar, Sumedh Kulkarni, Suyash Rokade, Riddhi R. Mirajkar

引用次数: 0

Enhancing Association Rules using Generative Adversarial Networks for Breast Cancer Classification 利用生成式对抗网络增强关联规则，用于乳腺癌分类

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459572

Menatalla Haggag, Lubana Al Rayes, Z. Aghbari

{"title":"Enhancing Association Rules using Generative Adversarial Networks for Breast Cancer Classification","authors":"Menatalla Haggag, Lubana Al Rayes, Z. Aghbari","doi":"10.1109/ICETSIS61505.2024.10459572","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459572","url":null,"abstract":"The core algorithms of data mining (DM) enable the discovery of new information and insights by analyzing large amounts of data. Association rules mining (ARM), one of the several DM approaches, is extremely important in DM research. By utilizing ARM in medical diagnosis, early disease detection can be enhanced, and treatment recommendations can be improved based on data-driven insights. Breast cancer remains the leading cause of cancer-related deaths among women on a global scale. It is a huge challenge to researchers in the medical field concerning its diagnosis and prognosis. This paper aims to leverage ARM for the generation of associations that contribute to either recurrence or no-recurrence events in breast cancer. The study utilizes the Breast Cancer dataset from the UCI repository. To ensure comprehensive coverage of associations in both classes, the dataset is balanced using Synthetic Minority Over-sampling Technique (SMOTE) and Generative Adversarial Networks (GAN). Utilizing GAN to balance the dataset enhanced the performance of the association classification.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":"40 1","pages":"634-638"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530221","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

Additional Security in ATM Transactions Using Face Recognition and OTP Verification 使用人脸识别和 OTP 验证提高 ATM 交易的安全性

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459580

Aditi Mohite, Sourav Joshi, Riddhi Joshi, Riddhi R. Mirajkar, Siddhi Kunjir

{"title":"Additional Security in ATM Transactions Using Face Recognition and OTP Verification","authors":"Aditi Mohite, Sourav Joshi, Riddhi Joshi, Riddhi R. Mirajkar, Siddhi Kunjir","doi":"10.1109/ICETSIS61505.2024.10459580","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459580","url":null,"abstract":"In the contemporary digital landscape, this project presents an innovative ATM security system that seamlessly integrates face recognition authentication and OTP (One-Time Password) verification, significantly enhancing security in financial transactions. The system adopts a robust yet flexible approach, initiating with users entering their username and password. Subsequently, their face is captured and analyzed through the LBPH algorithm. Successful face recognition grants access for secure transactions. For situations necessitating an alternative access method, such as withdrawals by trusted individuals, the system smoothly transitions to OTP verification. In case face recognition fails, an OTP is generated and dispatched to the user's registered mobile number, enabling authorized parties to proceed with transactions. This dynamic approach ensures stringent control over account access while facilitating secure and convenient financial transactions. By amalgamating cutting-edge technology with adaptability and user-friendliness, this system offers a comprehensive security framework for ATM systems in the modern financial technology landscape.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":"250 4","pages":"583-588"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530234","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

Ensemble Learning Algorithms for Solar Power Prediction in Saudi Arabia: A Data-Driven Approach 用于沙特阿拉伯太阳能预测的集合学习算法：数据驱动方法

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459648

Mohammad Kamal Hossain, Md Arifuzzaman, M. Seliaman, Arifur Rahman, Debasish Sarker, Hussain Altammar

引用次数: 0

Review and Conceptual Workflow for Enhancing Wind Loads Design of Sustainable Asymmetrical Tall Buildings 增强可持续非对称高层建筑风荷载设计的回顾与概念工作流程

2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS) Pub Date : 2024-01-28 DOI: 10.1109/ICETSIS61505.2024.10459521

Fadi Alkhatib, Ali Daris, Aiman H. H. Almasaudi, A. M. Alawag, Abdullah O. Baarimah, A. K. Alakhali

{"title":"Review and Conceptual Workflow for Enhancing Wind Loads Design of Sustainable Asymmetrical Tall Buildings","authors":"Fadi Alkhatib, Ali Daris, Aiman H. H. Almasaudi, A. M. Alawag, Abdullah O. Baarimah, A. K. Alakhali","doi":"10.1109/ICETSIS61505.2024.10459521","DOIUrl":"https://doi.org/10.1109/ICETSIS61505.2024.10459521","url":null,"abstract":"Tall buildings have emerged in popularity as a solution for accommodating swift urban population growth, economic expansion, and spatial constraints. However, as sustainability takes precedence in urban development, the performance and optimization of tall buildings have assumed critical research significance. Wind loads predominantly dictate the parameters for the design and optimization of these structures, mandating a wind-responsive approach to assess structural behaviors. This challenge is compounded by contemporary architectural trends favoring asymmetrical shapes and intricate geometries, where external form crucially influences wind-induced motion on tall buildings. This paper firstly undertakes a review study based on prior research works to investigate the main challenges and associated impediments in the pursuit of optimizing asymmetrical tall buildings for designs that are sustainable, safe, and economically viable. In response, a conceptual design workflow is developed and proposed by utilizing advanced computational technology to address the array of challenges inherent in designing and optimizing asymmetrical tall buildings. Hence, this research work lays the groundwork for further exploration and broader application to facilitate its implementation for the effective realization of asymmetrical tall buildings within industrial practices.","PeriodicalId":518932,"journal":{"name":"2024 ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)","volume":"31 1","pages":"812-816"},"PeriodicalIF":0.0,"publicationDate":"2024-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530050","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