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New recommender system for enhancing predictions’ performances in e-learning systems using learning analytics indicators 使用学习分析指标提高电子学习系统预测性能的新推荐系统
2022 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2022-09-17 DOI: 10.1109/ICAASE56196.2022.9931575
Sadouni Ouissal, Abdelhafid Zitouni, Megouache Leila
{"title":"New recommender system for enhancing predictions’ performances in e-learning systems using learning analytics indicators","authors":"Sadouni Ouissal, Abdelhafid Zitouni, Megouache Leila","doi":"10.1109/ICAASE56196.2022.9931575","DOIUrl":"https://doi.org/10.1109/ICAASE56196.2022.9931575","url":null,"abstract":"With recent advances in machine learning, the teacher can easily predict students at risk of failure, their performance, grades, and many other tasks on an e-learning system. However, these predictions do not always result in the best possible performance. In some cases, many errors are generated, and the teacher cannot take corrective actions in time. For this reason, we propose in this paper a new recommender system that focuses on the optimization of prediction performance using Learning Analytics indicators. This system proposes to the user the best set of learning indicators producing the best possible prediction performance. Indeed, the proposed recommendation system has been tested for many prediction tasks and can be adapted to many machine learning algorithms. The results show that the system is suitable for several prediction tasks as well as classification and regression algorithms. Thus, the recommender was evaluated using many metrics such as accuracy, ROC-AUC score, R2 score, and RMSE, among others, resulting in 99% and 98% accuracy for binary classification and multi-class classification tasks, respectively. As well as an R2 score of 92% for the regression task.","PeriodicalId":206411,"journal":{"name":"2022 International Conference on Advanced Aspects of Software Engineering (ICAASE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121352972","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
Evaluation of Augmented Reality Maintenance Assistance Systems: an Integrated AHP and Fuzzy-Topsis Model 增强现实维修辅助系统评价:AHP与模糊topsis综合模型
2022 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2022-09-17 DOI: 10.1109/ICAASE56196.2022.9931582
Omar Touami, O. Djekoune, S. Benbelkacem, R. Mellah, Mohamed Amine Guerroudji, N. Zenati-Henda
{"title":"Evaluation of Augmented Reality Maintenance Assistance Systems: an Integrated AHP and Fuzzy-Topsis Model","authors":"Omar Touami, O. Djekoune, S. Benbelkacem, R. Mellah, Mohamed Amine Guerroudji, N. Zenati-Henda","doi":"10.1109/ICAASE56196.2022.9931582","DOIUrl":"https://doi.org/10.1109/ICAASE56196.2022.9931582","url":null,"abstract":"The sector of maintenance has recently showed considerable potential for augmented reality (AR) technologies. Their effect on the maintenance procedure is now being examined. Recent studies have investigated this issue by employing qualitative methodologies based on a subjective analysis. This article presents the evaluation study’s preliminary findings, which show the advantages of integrating augmented reality tools for maintenance jobs. To provide decision-makers with the quantitative information they need to maintain AR systems more successfully. A multi-criteria decion model based on a combination of AHP and Fuzzy-TOPSIS approaches was suggested. To examine the suggested model and identify its global applicability and potentialities, an experiment and case study on the assessment of an on-site maintenance service for an AR system was studied.","PeriodicalId":206411,"journal":{"name":"2022 International Conference on Advanced Aspects of Software Engineering (ICAASE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129962127","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
A Formal Modelling Language for Digital Electronic Systems Design 数字电子系统设计的形式化建模语言
2022 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2022-09-17 DOI: 10.1109/ICAASE56196.2022.9931569
Z. Lakhdara, Naila Marir
{"title":"A Formal Modelling Language for Digital Electronic Systems Design","authors":"Z. Lakhdara, Naila Marir","doi":"10.1109/ICAASE56196.2022.9931569","DOIUrl":"https://doi.org/10.1109/ICAASE56196.2022.9931569","url":null,"abstract":"Today’s electronic digital systems are becoming more complicated, thus designing such systems requires a higher level of abstraction and design automation. To address this concern, this paper proposes a new formal Domain specific Modelling Language (DSML) called DSysML for DES modelling. The proposed DSML extends the Block Definition D iagram (BDD) and Internal Block Diagram (IBD) SysML diagrams to include electronic concepts, and employs a familiar graphical notation from the DES domain. This enables modelling DES systems at a high–level of abstraction. Due to its formal semantics, DSysML makes it possible to validate DES designs through simulation and formal verification. This letter is defined by a functional language specification t hat w as a utomatically g enerated. T he proposed DSML is illustrated through a case study of an Arithmetic and Logic Unit (ALU).","PeriodicalId":206411,"journal":{"name":"2022 International Conference on Advanced Aspects of Software Engineering (ICAASE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129526687","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
Rumor Stance Classification: A Case Study on the Propagation of Political Rumors on the Algerian Online Social Space 谣言立场分类:以阿尔及利亚网络社会空间政治谣言传播为例
2022 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2022-09-17 DOI: 10.1109/ICAASE56196.2022.9931543
Mohammed El Manar Righi, Djallel Eddine Boussahel, Djamila Mohdeb, Meriem Laifa, Messaoud Bendiaf
{"title":"Rumor Stance Classification: A Case Study on the Propagation of Political Rumors on the Algerian Online Social Space","authors":"Mohammed El Manar Righi, Djallel Eddine Boussahel, Djamila Mohdeb, Meriem Laifa, Messaoud Bendiaf","doi":"10.1109/ICAASE56196.2022.9931543","DOIUrl":"https://doi.org/10.1109/ICAASE56196.2022.9931543","url":null,"abstract":"Social media is extensively an important means for spreading and sharing news. Nevertheless, the lack of mechanisms for verifying posted information has given rise to a widespread of fake news and rumors. This paper particularly examined a real case of political rumor spreading that marked the Algerian online space for a few months between the end of the year 2020 and the beginning of 2021. It concerns the rumors that have circulated on the social platform YouTube about the health of the President of the Algerian Republic Abdelmadjid Tebboune. By this contribution, we aimed to detect the stances of the Algerian online public towards these rumors by following a Transfer Learning approach. The experiments on the collected data reported good performance of monolingual transformers compared to multilingual transformers in the task of rumor stance classification.","PeriodicalId":206411,"journal":{"name":"2022 International Conference on Advanced Aspects of Software Engineering (ICAASE)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127333933","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
Collaborative Learning Environment over Internet Using Augmented Reality and Voice Interaction 基于增强现实和语音交互的互联网协同学习环境
2022 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2022-09-17 DOI: 10.1109/ICAASE56196.2022.9931571
Mouna Kenoui, Mohamed Ait Mehdi
{"title":"Collaborative Learning Environment over Internet Using Augmented Reality and Voice Interaction","authors":"Mouna Kenoui, Mohamed Ait Mehdi","doi":"10.1109/ICAASE56196.2022.9931571","DOIUrl":"https://doi.org/10.1109/ICAASE56196.2022.9931571","url":null,"abstract":"In this paper, we describe how we combined augmented reality based on marker tracking, 3D natural interaction using IBM Watson speech recognition capabilities on the cloud, and collaborative work allowing multiple users (students, teachers) to visualize in real-time and over the internet a same shared space mixing real scene with 3D contents of a biology course. Teachers and learners are able in such a way to interact collaboratively with the virtual objects in an intuitive and a natural manner by using voice commands and/or vocal inquiries to participate in the course and acquire knowledge. Each user is able to perform, during a real-time educational session, their own actions (selection, rotation, scale) over virtual objects and see and/or hear else’s actions and/or effects synchronously. Visual clues are added to enhance the context awareness and allow each user to recognize who else is acting/speaking at a given time in the group.","PeriodicalId":206411,"journal":{"name":"2022 International Conference on Advanced Aspects of Software Engineering (ICAASE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126948460","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
Detection of leaks through exception mechanisms 通过异常机制检测泄漏
2022 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2022-09-17 DOI: 10.1109/ICAASE56196.2022.9931592
Salim Yahia Kissi, Yassamine Seladji, R. Ameur-Boulifa
{"title":"Detection of leaks through exception mechanisms","authors":"Salim Yahia Kissi, Yassamine Seladji, R. Ameur-Boulifa","doi":"10.1109/ICAASE56196.2022.9931592","DOIUrl":"https://doi.org/10.1109/ICAASE56196.2022.9931592","url":null,"abstract":"A timing attack is a security exploit that allows an attacker to discover vulnerabilities in the security of a computer or network system by analysing the execution time of algorithms. This is because each operation in a program takes time to be executed, and this time may vary depending on its inputs and the characteristics of the microprocessor on which it runs. With accurate time measurements for each operation, it may be possible for an attacker to discover secrets through the analysis of the execution time of a program. This paper presents an automatable approach for detecting information leakage in programs through timing information. It is based on the Z3-SMT solver. It allows to detect vulnerabilities in a software code according to a given security specification and target architecture. This paper also features some research issues that will be addressed during my thesis.","PeriodicalId":206411,"journal":{"name":"2022 International Conference on Advanced Aspects of Software Engineering (ICAASE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133190185","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
Authors Information 作者信息
2022 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2022-09-17 DOI: 10.1109/icaase56196.2022.9931570
{"title":"Authors Information","authors":"","doi":"10.1109/icaase56196.2022.9931570","DOIUrl":"https://doi.org/10.1109/icaase56196.2022.9931570","url":null,"abstract":"Comment All articles published in Dental Update are subject to review by specialist referees in the appropriate dental disciplines. Dental Update invites submission of articles pertinent to general dental practice. Articles should be well-written, authoritative and fully illustrated. Manuscripts should be prepared following the Guidelines for Authors published in the April 2005 issue (additional copies are available from the Editor on request). Authors are advised to submit a synopsis before writing an article. The opinions expressed in this publication are those of the authors and are not necessarily those of the editorial staff or the members of the Editorial Board. The journal is listed in Index to Dental Literature, Current Opinion in Dentistry, MEDLINE & other databases.","PeriodicalId":206411,"journal":{"name":"2022 International Conference on Advanced Aspects of Software Engineering (ICAASE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131566385","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: 4
Towards an approach for cloud service composition in Multi-Cloud environment based QoS using deep Q-learning * 基于深度q学习的多云环境下基于QoS的云服务组合方法*
2022 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2022-09-17 DOI: 10.1109/ICAASE56196.2022.9931591
M. Boutarfa, R. Maamri, Mohammed Nassim Lacheheub
{"title":"Towards an approach for cloud service composition in Multi-Cloud environment based QoS using deep Q-learning *","authors":"M. Boutarfa, R. Maamri, Mohammed Nassim Lacheheub","doi":"10.1109/ICAASE56196.2022.9931591","DOIUrl":"https://doi.org/10.1109/ICAASE56196.2022.9931591","url":null,"abstract":"Cloud Computing is internet-based computing where resources are offered over the internet on-demand and based on Pay-as-you-go. The advantages of Cloud computing have encouraged many enterprises to migrate to it and adapt its services. Sometimes users’ requests are not met from only one cloud and to better satisfy users’ complex requirements in front of the huge number of cloud services, multiple services from the various cloud can be combined by using Cloud Service Composition (SC). SC is an NP-Hard problem divided into services selection and service composition. Few works have combined these two sub-problem for service composition in a Multi-cloud environment. In this paper, we propose an approach to Service Composition in a Multi-Cloud environment based on cooperative Agents to merge these two sub-problems. Such us, our approach combines DQL for obtaining the optimal composition with locale selection of atomic service for each abstract service.","PeriodicalId":206411,"journal":{"name":"2022 International Conference on Advanced Aspects of Software Engineering (ICAASE)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127084537","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
Automatic COVID-19 diagnosis using deep learning features and support vector machines based on Bayesian optimization 基于贝叶斯优化的深度学习特征和支持向量机的COVID-19自动诊断
2022 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2022-09-17 DOI: 10.1109/ICAASE56196.2022.9931584
Smail Dilmi
{"title":"Automatic COVID-19 diagnosis using deep learning features and support vector machines based on Bayesian optimization","authors":"Smail Dilmi","doi":"10.1109/ICAASE56196.2022.9931584","DOIUrl":"https://doi.org/10.1109/ICAASE56196.2022.9931584","url":null,"abstract":"Early diagnosis of COVID-19 and detection of infected people are crucial in taking preventative measures and treating the infected people. Artificial intelligence applications based on machine and deep learning techniques are more effective and applicable in such cases. In this work, an approach for automatic COVID-19 diagnosis using chest X-ray images is proposed. In this paper, AlexNet, VGG16, and VGG19 deep learning architectures were used to extract the useful and relevant features. These features were then used as inputs to the support vector machine (SVM) with two discrete outputs: COVID-19 or No-findings. Furthermore, the Bayesian optimization (BO) algorithm was used to tune the parameters of the SVM classifier and choose the optimal parameters. The results of the study indicate that the VGG16-SVM-BO and VGG19-SVM-BO models give the best performance with an accuracy of 99.47%. According to this result, the proposed approach can effectively contribute to the diagnosis of COVID-19.","PeriodicalId":206411,"journal":{"name":"2022 International Conference on Advanced Aspects of Software Engineering (ICAASE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132905219","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
Towards a Big Educational Data Analytics 迈向大教育数据分析
2022 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2022-09-17 DOI: 10.1109/ICAASE56196.2022.9931565
Mohamed Lamine Boughouas, Y. Kissoum, Abdelouahad Mouhssen, M. Karek, S. Mazouzi
{"title":"Towards a Big Educational Data Analytics","authors":"Mohamed Lamine Boughouas, Y. Kissoum, Abdelouahad Mouhssen, M. Karek, S. Mazouzi","doi":"10.1109/ICAASE56196.2022.9931565","DOIUrl":"https://doi.org/10.1109/ICAASE56196.2022.9931565","url":null,"abstract":"The Big data is a broad term that is related to the collection, storage, and analysis of large volumes of data. These big data can play a significant part to understand the often issues nature and help improve performances of several sectors, including higher education. However, it is not possible for higher education big data owners to go through all data and make critical decisions for the improvement of the sector. Here comes the importance of big data analytics. Due to the lack of big educational datasets, we eventually explore the three phases of big data analytics (descriptive, predictive, and prescriptive analytics) and their benefits through a case study where machine learning techniques were applied to predict student performance. We used an educational dataset collected from the Kalboard 360 learning management system. We end up giving recommendations and advice to improve student performance and convince educational institutions to use and benefit from their data.","PeriodicalId":206411,"journal":{"name":"2022 International Conference on Advanced Aspects of Software Engineering (ICAASE)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114820650","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
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