2022 International Conference on Advanced Aspects of Software Engineering (ICAASE)最新文献

Performance of End-to-End vs Pipeline Spoken Language Understanding Models on Multilingual Synthetic Voice 端到端与管道语音理解模型在多语言合成语音中的表现

2022 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2022-09-17 DOI: 10.1109/ICAASE56196.2022.9931594

Mohamed Lichouri, Khaled Lounnas, R. Djeradi, A. Djeradi

引用次数: 1

Neutrosophic Data Analytic Hierarchy Process for Multi Criteria Decision Making: Applied to Supply Chain Risk Managment 多准则决策的中性数据层次分析法在供应链风险管理中的应用

2022 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2022-09-17 DOI: 10.1109/ICAASE56196.2022.9931541

Ahlem Meziani, Abdelhabib Bourouis, Mohamed Sedik Chebout

{"title":"Neutrosophic Data Analytic Hierarchy Process for Multi Criteria Decision Making: Applied to Supply Chain Risk Managment","authors":"Ahlem Meziani, Abdelhabib Bourouis, Mohamed Sedik Chebout","doi":"10.1109/ICAASE56196.2022.9931541","DOIUrl":"https://doi.org/10.1109/ICAASE56196.2022.9931541","url":null,"abstract":"Today’s Supply Chains (SC) are engulfed in a maelstrom of risks which arise mainly from uncertain, contradictory, and incomplete information. A decision-making process is required in order to detect threats, assess risks, and implements mitigation methods to address these issues. However, Neutrosophic Data Analytic Hierarchy Process (NDAHP) allows for a more realistic reflection of real-world problems while taking into account all factors that lead to effective risk assessment for Multi Criteria Decision-Making (MCDM). The purpose of this paper consists of an implementation of the NDAHP for MCDM aiming to identifying, ranking, prioritizing and analyzing risks without considering SC’ expert opinions. To that end, we proceed, first, for selecting and analyzing the most 23 relevant risk indicators that have a significant impact on the SC considering three criteria: severity, occurrence, and detection. After that, the NDAHP method is implemented and showcased, on the selected risk indicators, throw an illustrative example. Finally, we discuss the usability and effectiveness of the suggested method for the SCRM purposes.","PeriodicalId":206411,"journal":{"name":"2022 International Conference on Advanced Aspects of Software Engineering (ICAASE)","volume":"23 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":"123621388","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

Enhanced Honey Badger Algorithm for mesh routers placement problem in wireless mesh networks 无线网状网络中网状路由器布局问题的改进蜜獾算法

2022 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2022-09-17 DOI: 10.1109/ICAASE56196.2022.9931590

Sylia Mekhmoukh Taleb, Yassine Meraihi, S. Mirjalili, D. Acheli, A. Ramdane-Cherif, Asma Benmessaoud Gabis

引用次数: 0

Analysis of Students’ Emotions in an Online Learning Environment 网络学习环境下学生情绪分析

2022 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2022-09-17 DOI: 10.1109/ICAASE56196.2022.9931587

Amal Bensba, Naima Ahmim, Chahnez Zakaria, Nabila Bousbia

引用次数: 0

Measuring Maintainability of Web Applications Using an Extensible MVC Architecture 使用可扩展MVC架构测量Web应用程序的可维护性

2022 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2022-09-17 DOI: 10.1109/ICAASE56196.2022.9931544

Khalil Elbaz

引用次数: 0

The Impact of Big Data Analytics on Traffic Prediction 大数据分析对交通预测的影响

2022 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2022-09-17 DOI: 10.1109/ICAASE56196.2022.9931585

Hakima Khelifi, Amani Belouahri

引用次数: 0

A Hybrid Neural Network and Graph Theory based Clustering Protocol for Dynamic IoT Networks 基于混合神经网络和图论的动态物联网网络聚类协议

2022 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2022-09-17 DOI: 10.1109/ICAASE56196.2022.9931583

Malha Merah, Z. Aliouat, Mohamed Sofiane Batta

{"title":"A Hybrid Neural Network and Graph Theory based Clustering Protocol for Dynamic IoT Networks","authors":"Malha Merah, Z. Aliouat, Mohamed Sofiane Batta","doi":"10.1109/ICAASE56196.2022.9931583","DOIUrl":"https://doi.org/10.1109/ICAASE56196.2022.9931583","url":null,"abstract":"Internet of Things has emerged as a revolutionary technology that holds promise in a wide range of applications. However, its deployment presents some difficulties since IoT networks are based on battery-empowered devices. Clustering techniques were introduced to conserve the energy of network devices. Recently, Machine Learning-neural network-based clustering techniques have proven their efficiency for topology management and network lifetime. Graph theory is a powerful mathematical and computational discipline that studies graphs, which are abstract models of network designs connecting objects and allowing significant decisions to be made that affect network performance. In this paper, a combination of neural networks and graph theory is done in order to perform cluster based routing in dynamic IoT networks called SOM-FW. The proposed method clusters sensor nodes using the artificial neural network method named Self-Organizing Maps, based on their distribution, providing a balanced CH distribution. The election of the cluster-head is based on the Floyd-Warshall algorithm, which computes the center of the cluster graph. A dynamic re-clustering strategy is adopted to handle novel incoming nodes, faulty or dead nodes, and CH premature death. The superiority of the protocol is extensively demonstrated in energy efficiency, and network lifetime.","PeriodicalId":206411,"journal":{"name":"2022 International Conference on Advanced Aspects of Software Engineering (ICAASE)","volume":"41 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":"123934277","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

ICAASE 2022 Cover Page ICAASE 2022封面

2022 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2022-09-17 DOI: 10.1109/icaase56196.2022.9931593

引用次数: 0

E-orientation system socio-psychological data sensitive 面向电子系统的社会心理数据敏感

2022 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2022-09-17 DOI: 10.1109/ICAASE56196.2022.9931589

Nour El Houda Chouial, Malak Khenfous, N. Benlahrache

{"title":"E-orientation system socio-psychological data sensitive","authors":"Nour El Houda Chouial, Malak Khenfous, N. Benlahrache","doi":"10.1109/ICAASE56196.2022.9931589","DOIUrl":"https://doi.org/10.1109/ICAASE56196.2022.9931589","url":null,"abstract":"Nowadays, the diversity of specialty choices in the different fields of study is a challenge for students. orientation has taken place at different levels of education and has become a crucial step in deciding the future career of students. In the majority of cases, the choice of the field of study is made subjectively, which sometimes results in failure or dropping out of educational institutions. In order to overcome this problem, we have proposed a specialty recommendation system that proposes the most appropriate field of study to students according to their academic and psycho-social background. In order to realize this recommendation system, we followed the construction methodology of recommendation systems, which is divided into three phases, starting with the first phase of data collection and preprocessing, during which we applied different techniques of data analysis, namely, principal component analysis for the reduction of the dimensionality of the database, followed by the second phase, the learning phase, whose objective is the construction of the students’ profiles through a clustering algorithm. The obtained profiles are used in the last phase, which is the prediction phase, where we have used a neural network to predict the appropriate recommendation. To validate our proposal approach, we developed a prototype using the Portuguese database that allowed us to analyze the relationship between different social data and the performance of students. The results obtained from the prototype are very interesting and reveal a strong correlation between the different types of data (numerical, psycho-social, or a combination of both) and the performance of students in a specialty.","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":"126084369","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

User Web Access Prediction Based On Web Services And User Profile 基于Web服务和用户配置文件的用户Web访问预测

2022 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2022-09-17 DOI: 10.1109/ICAASE56196.2022.9931578

Karim Boudjebbour, Abdelkader Belkhir, El Bahi Toubal, Messaoud Rahim

引用次数: 0