2020 6th IEEE Congress on Information Science and Technology (CiSt)最新文献_第9页

Model-Based Design for high performance devices oriented to advanced smart solutions 面向先进智能解决方案的高性能设备的基于模型的设计

2020 6th IEEE Congress on Information Science and Technology (CiSt) Pub Date : 2020-06-05 DOI: 10.1109/CiSt49399.2021.9357180

L. Belhamel, A. Buscarino, A. Cucuccio, L. Fortuna, G. Rasconà

引用次数: 0

Machine Learning and Deep Learning applications in E-learning Systems: A Literature Survey using Topic Modeling Approach 机器学习和深度学习在电子学习系统中的应用:使用主题建模方法的文献综述

2020 6th IEEE Congress on Information Science and Technology (CiSt) Pub Date : 2020-06-05 DOI: 10.1109/CiSt49399.2021.9357253

Chakir Fri, Rachid Elouahbi

引用次数: 1

LISUNGIcovid19: Prototype of mobile application to help manage the way out of covid-19 crisis LISUNGIcovid19:帮助管理covid-19危机的移动应用程序原型

2020 6th IEEE Congress on Information Science and Technology (CiSt) Pub Date : 2020-06-05 DOI: 10.1109/CiSt49399.2021.9357315

Patrick Loola Bokonda, Khadija Ouazzani Touhami, N. Souissi

{"title":"LISUNGIcovid19: Prototype of mobile application to help manage the way out of covid-19 crisis","authors":"Patrick Loola Bokonda, Khadija Ouazzani Touhami, N. Souissi","doi":"10.1109/CiSt49399.2021.9357315","DOIUrl":"https://doi.org/10.1109/CiSt49399.2021.9357315","url":null,"abstract":"Coronavirus disease 2019 (Covid-19) has plunged the world into a crisis that will forever be marked in the annals of humanity. Several mobile applications have been proposed, in particular to help limit or even stop the spread of the virus. In this paper, we propose a mobile data collection application, LISUNGIcovid19. This application has been built on the basis of the Open Data Kit (ODK) platform. The proposed solution offers both a mobile application and a data server to store, visualize and analyze the collected data. Although there are several applications created in this context of covid-19 such as STOPcovid or Wiqaytna, our solution is distinguished by the rapid adaptation of its data collection form according to the evolution of lockdown exit or renewed lockdown strategy adopted by the authorities. It will help decision-makers in the evaluation of their strategy and possibly the planning of lockdown exit and thus ensure a good management of the way out of this health crisis. The data collected by LISUNGIcovid19, as well as the analysis it proposes of this data, will enable the competent authorities to take the decision to quarantine, or isolate a city, a neighborhood or a group of individuals; or to start planning a progressive lockdown exit or even a new social isolation if necessary. The case study carried out in Morocco to test LISUNGIcovid19 helped to understand the classification of the cities of Casablanca, Rabat and Salé in zone 2 during the first phase of lockdown exit and then in zone 1 during its second phase; while the cities of Kenitra and Marrakech remained in zone 2 during both phases.","PeriodicalId":253233,"journal":{"name":"2020 6th IEEE Congress on Information Science and Technology (CiSt)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116264834","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: 1

Development of an Automatic Process for Recommending Well Adapted Educational Resources in an E-learning Environment 在电子学习环境中推荐适合的教育资源的自动过程的开发

2020 6th IEEE Congress on Information Science and Technology (CiSt) Pub Date : 2020-06-05 DOI: 10.1109/CiSt49399.2021.9357199

Mohammed Baidada, K. Mansouri, F. Poirier

{"title":"Development of an Automatic Process for Recommending Well Adapted Educational Resources in an E-learning Environment","authors":"Mohammed Baidada, K. Mansouri, F. Poirier","doi":"10.1109/CiSt49399.2021.9357199","DOIUrl":"https://doi.org/10.1109/CiSt49399.2021.9357199","url":null,"abstract":"Learners in e-learning environments often try to go beyond what can be provided to them by teachers in terms of educational resources, trying to find other external resources on the web related to their preferences and needs. Based on this observation, and with the goal of personalizing the learning process by recommending the most appropriate teaching resources to learners, we propose a model for analyzing learners' searches to determine the relevant words that reflect their interests, with the aim of enriching their profiles. Our approach is to collect the descriptions of the links returned by the search engine, which will constitute a corpus on which we will apply the TF-IDF (term frequency-inverse document frequency) method to determine the relevant words. We will then use the Word2vec technique to determine words similar to these relevant words in the description of internal educational resources, so that we can recommend those that best correspond to the learner's needs. We developed a platform and launched an experiment with a group of real students. The data generated will be analyzed and the results will allow us to evaluate our approach and also to see areas for improvement.","PeriodicalId":253233,"journal":{"name":"2020 6th IEEE Congress on Information Science and Technology (CiSt)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122295287","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: 1

Rules Extraction and Deep Learning for e-Commerce Fraud Detection 电子商务欺诈检测的规则提取和深度学习

2020 6th IEEE Congress on Information Science and Technology (CiSt) Pub Date : 2020-06-05 DOI: 10.1109/CiSt49399.2021.9357066

Youssef Bekach, B. Frikh, B. Ouhbi

引用次数: 1

A Cloud-Based Diagnosis Framework Of Dyslexia For The Arabic Language using Large Scale Ontologies Reasoning over Apache Spark 基于Apache Spark的大规模本体推理的基于云的阿拉伯语阅读障碍诊断框架

2020 6th IEEE Congress on Information Science and Technology (CiSt) Pub Date : 2020-06-05 DOI: 10.1109/CiSt49399.2021.9357168

Mohamed Oubezza, Ali el Hore, Jamal el Kafi

引用次数: 0

Combining model-driven engineering and sewerage networks: towards a generic representation 结合模型驱动工程和污水管网:走向通用表示

2020 6th IEEE Congress on Information Science and Technology (CiSt) Pub Date : 2020-06-05 DOI: 10.1109/CiSt49399.2021.9357171

Yassine Bel-Ghaddar, Abderrahmane Seriai, Ahlame Begdouri, C. Delenne, N. Chahinian, Mustapha Derras

{"title":"Combining model-driven engineering and sewerage networks: towards a generic representation","authors":"Yassine Bel-Ghaddar, Abderrahmane Seriai, Ahlame Begdouri, C. Delenne, N. Chahinian, Mustapha Derras","doi":"10.1109/CiSt49399.2021.9357171","DOIUrl":"https://doi.org/10.1109/CiSt49399.2021.9357171","url":null,"abstract":"Representing and processing digital data related to underground networks, particularly sewerage networks, is increasingly becoming a priority for the managers of these networks. Indeed, better representation would allow them, among others, to improve knowledge and to take the best decisions regarding these generally poorly identified infrastructures. The heterogeneity of data and the multiplicity of data models representing sewerage networks, often specific to each operator, as well as the imperfections associated with both the available data and those collected from different sources, generate complexity in terms of on-the-field interventions' efficiency. They also highlight the need for aggregation (unification), control and analysis. The main objective of our work is to merge multi-source data to obtain more precise and complete digital maps of sewerage networks. In this paper, we propose a generic data modelling for data fusion purposes taking into consideration the uncertainty aspects related to the collected data by allowing a confidence value for each data source and for each single data provided by a source.","PeriodicalId":253233,"journal":{"name":"2020 6th IEEE Congress on Information Science and Technology (CiSt)","volume":"894 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131985522","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

Multispectral imaging to reveal ancient hieroglyphic text in an Egyptian Stele 多光谱成像揭示古埃及石碑上的象形文字

2020 6th IEEE Congress on Information Science and Technology (CiSt) Pub Date : 2020-06-05 DOI: 10.1109/CiSt49399.2021.9357229

Alessia Spoladore, T. Cavaleri, S. Legnaioli, V. Palleschi

引用次数: 0

Exploratory Study of Established Strategy Games in the Context of Knowledge Transfer Based on Selected Learning Objects from the Economic Field 基于经济领域学习对象选择的知识转移情境下已建立策略博弈的探索性研究

2020 6th IEEE Congress on Information Science and Technology (CiSt) Pub Date : 2020-06-05 DOI: 10.1109/CiSt49399.2021.9357064

R. Wittrin, Christian Roschke, Volker Tolkmitt, M. Ritter

{"title":"Exploratory Study of Established Strategy Games in the Context of Knowledge Transfer Based on Selected Learning Objects from the Economic Field","authors":"R. Wittrin, Christian Roschke, Volker Tolkmitt, M. Ritter","doi":"10.1109/CiSt49399.2021.9357064","DOIUrl":"https://doi.org/10.1109/CiSt49399.2021.9357064","url":null,"abstract":"Computer and video games are the subject of intensive and wide-ranging research within the scientific community. The spectrum ranges from the analyses of the effects of games on the propensity to violence, well-being or on the the learning process. Previous works largely concluded positive effects of games on the learning behaviour, particularly at the motivational level. However, the analysis has mainly focused on specially designed educational games, not on games from the entertainment sector that are established on the market. Here, we address this gap by identifying suitable games and examining them for intersections with a catalogue of economical learning objectives. For this purpose, this catalogue is transformed into an adapted criteria catalogue and examined on the basis of five selected games. The main findings include that on average there is a 56% thematic overlap between the learning objectives catalogue, while 18% of the objectives were explained in a way that an abstracted application is possible even outside the gaming environment. Those findings highlight the potential value of these games for an application within the educational sector while suggesting the necessity for adjustments and additions to better address the objectives.","PeriodicalId":253233,"journal":{"name":"2020 6th IEEE Congress on Information Science and Technology (CiSt)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130817965","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: 1

6th IEEE CiSt'20 Partners 第六届IEEE CiSt'20合作伙伴

2020 6th IEEE Congress on Information Science and Technology (CiSt) Pub Date : 2020-06-05 DOI: 10.1109/cist49399.2021.9357188

引用次数: 0