2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA)最新文献_第3页

Optimization of a sustainable analytical methodology for performance improvement of industrial quality control 工业质量控制绩效改进的可持续分析方法的优化

2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA) Pub Date : 2021-06-01 DOI: 10.1109/ICDATA52997.2021.00038

W. Terouzi, F. Kzaiber, A. Oussama

引用次数: 0

Direct Torque Control for Induction Motor 感应电机直接转矩控制

2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA) Pub Date : 2021-06-01 DOI: 10.1109/ICDATA52997.2021.00042

Marya Ait Isha, A. Ouchatti, Taoufik Belhoussine Drissi

引用次数: 2

Design of an Intelligent Bracelet Based on IOT and LORA Protocol to Identify New COVID-19 Contact Cases 基于物联网和LORA协议的新型COVID-19接触病例识别智能手环设计

2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA) Pub Date : 2021-06-01 DOI: 10.1109/ICDATA52997.2021.00047

Karima Zouari, Omar Houmanat, I. Cherti, M. Bahaj

引用次数: 0

Machine learning techniques for forecasting the traffic accident severity 预测交通事故严重程度的机器学习技术

2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA) Pub Date : 2021-06-01 DOI: 10.1109/ICDATA52997.2021.00018

Hmamed Hala, Cherrafi Anass, B. Rajaa, Benghabrit Youssef, J. Garza‐Reyes

引用次数: 0

Toward an assessment model of the impact of ICT Strategic Alignment Maturity and Information Systems Success on innovation and performance 信息通信技术战略一致性成熟度和信息系统成功对创新和绩效影响的评估模型

2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA) Pub Date : 2021-06-01 DOI: 10.1109/ICDATA52997.2021.00039

Salah Jadda, Nawfal Acha, Hafid Barka

{"title":"Toward an assessment model of the impact of ICT Strategic Alignment Maturity and Information Systems Success on innovation and performance","authors":"Salah Jadda, Nawfal Acha, Hafid Barka","doi":"10.1109/ICDATA52997.2021.00039","DOIUrl":"https://doi.org/10.1109/ICDATA52997.2021.00039","url":null,"abstract":"There are several models for evaluating the contribution of Information and Communication Technologies (ICT) to the performance of organizations, while very little research has focused on the contribution of ICTs to innovation. Knowing that this is crucial for performance, Information Technology could improve the ability to detect innovation opportunities, and ICT Strategic Alignment (SA) could increase innovation. However, organizations can be confined to a particular way of “doing business” if they are not flexible in aligning their ICTs with business, which can negatively influence innovation. Likewise, if the Information System (IS) is not satisfactory, it would not positively impact innovation. This article aims to propose a conceptual model of the determinants of the maturity of the ICT Strategic Alignment and the quality of organizations' IS to assess the contribution of these two variables to innovation. This model was developed following a review of the literature which determined the factors for evaluating the strategic alignment maturity as well as the factors used to assess the Information System Success, innovation, and performance within organizations.","PeriodicalId":231714,"journal":{"name":"2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125157081","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

Contribution to improving the conditions of access to very high speed 5G internet for online education in developing African countries 为改善非洲发展中国家使用超高速5G网络进行在线教育的条件做出贡献

2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA) Pub Date : 2021-06-01 DOI: 10.1109/ICDATA52997.2021.00031

L. Ndiaye, Samba Diouf, Kéba Gueye, S. Ouya, G. Mendy

{"title":"Contribution to improving the conditions of access to very high speed 5G internet for online education in developing African countries","authors":"L. Ndiaye, Samba Diouf, Kéba Gueye, S. Ouya, G. Mendy","doi":"10.1109/ICDATA52997.2021.00031","DOIUrl":"https://doi.org/10.1109/ICDATA52997.2021.00031","url":null,"abstract":"ICT are experiencing a boom in the evolution of mobile networks. Today the advent of 5G offers major benefits in all sectors such as education, health, agriculture etc. 5G allows very high speed access, very low latency but also good bandwidth. This will result in faster access with a much smoother data processing turnaround time for the services offered. Developing African countries must prepare to face these opportunities despite their meager resources. In this article we use the robustness of free software like open5gs to set up a latest generation mobile network with an implementation of innovative services. This shows the relevance of having a reliable new generation mobile network infrastructure at a lower cost. This article is based on a mobile network infrastructure whose radio and network access parts are software because today it is possible to emulate mobile networks with computing, in particular NFVs. It will allow the developing country of Africa to understand the importance of having its own network, especially in the context of the covid-19 pandemic where all activities have become virtual. In this context, activities such as distance learning require internet access and good bandwidth.","PeriodicalId":231714,"journal":{"name":"2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115186525","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: 2

The commonly used algorithms to optimize a neural network in supervised learning: Overview, and comparative study 在监督学习中优化神经网络的常用算法:综述与比较研究

2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA) Pub Date : 2021-06-01 DOI: 10.1109/ICDATA52997.2021.00015

Amri Omar, Fri Mohamed, Msaaf Mohammed, Belmajdoub Fouad

引用次数: 1

Water resources in the Sebou Watershed: hydrodynamic, state and perspective 塞布流域水资源:水动力、现状与展望

2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA) Pub Date : 2021-06-01 DOI: 10.1109/ICDATA52997.2021.00027

Ahmed El Bakouri, F. Dimane, Mourad Bouita, M. Tayebi, K. El kharrim, D. Belghyti

引用次数: 0

Hardware Architecture of EKF-SLAM's Prediction Stage and its FPGA Implementation EKF-SLAM预测台硬件架构及FPGA实现

2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA) Pub Date : 2021-06-01 DOI: 10.1109/ICDATA52997.2021.00036

Slama Hammia, A. Hatim, A. Bouaaddi

引用次数: 1

An overview on machine learning methods for ECG Heartbeat Arrhythmia Classification 心电图心律不齐分类的机器学习方法综述

2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA) Pub Date : 2021-06-01 DOI: 10.1109/ICDATA52997.2021.00012

Mohamed Sraitih, Y. Jabrane, Abdelghafour Atlas

{"title":"An overview on machine learning methods for ECG Heartbeat Arrhythmia Classification","authors":"Mohamed Sraitih, Y. Jabrane, Abdelghafour Atlas","doi":"10.1109/ICDATA52997.2021.00012","DOIUrl":"https://doi.org/10.1109/ICDATA52997.2021.00012","url":null,"abstract":"The automated classifiers can assist cardiology experts in diagnosing heart-linked illnesses with the initial and well-predicted results of classified ECG signals and data of subjects. This work serves as a review of various research works on ECG data and signals classification using supervised machine learning approaches. We presented and reviewed, the performance and the strategies used to classify cardiac arrhythmias using five widely used classifiers, Support vector machine (SVM), Random forest (RF), Decision three (DT), Naïve Bayes (NB), and K-nearest neighbour (KNN). And we discussed a variety of limitations and revealed that there is still area for increase in the classification's performance, specially by minimizing the preprocessing and feature extraction step which can cause an important computational cost and different accuracy outcomes. Such a coordinated research review allows scientists to merge an unobstructed view on some aspects of ECG classification for the identification of the research issues unmet so far. We plan to consider the obstacles discussed and some limitations to further raise the classification performance of the automated classifiers for the applicability of such solutions in clinical diagnosis.","PeriodicalId":231714,"journal":{"name":"2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123937270","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: 2