2020 International Conference on Advanced Aspects of Software Engineering (ICAASE)最新文献

Development of an intelligent electronic sentinel for the monitoring and detection of meteorological phenomena due to global climate change 开发智能电子哨兵，监测和探测全球气候变化引起的气象现象

2020 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2020-11-28 DOI: 10.1109/ICAASE51408.2020.9380123

Sadouni Salheddine, Sadouni Ouissal, M. Benslama, Messai Abderraouf, A. Beylot

{"title":"Development of an intelligent electronic sentinel for the monitoring and detection of meteorological phenomena due to global climate change","authors":"Sadouni Salheddine, Sadouni Ouissal, M. Benslama, Messai Abderraouf, A. Beylot","doi":"10.1109/ICAASE51408.2020.9380123","DOIUrl":"https://doi.org/10.1109/ICAASE51408.2020.9380123","url":null,"abstract":"In the last few years we have been witnessing with stupefaction the intensification of the majority of meteorological phenomena as a direct consequence of the global warming of the planet. The latter, occupies a preponderant place in scientific research, to define with precision its present and future repercussions on human life. For this purpose, a continuous and real-time monitoring of the physical quantities characterizing meteorological phenomena is necessary for their good understanding as well as their early detection and the triggering of alarms during emergency situations. Therefore, in this paper we focus on the development of an intelligent electronic sentinel, which will be able to collect, process environmental data to detect those meteorological phenomena that form in its direct vicinity. In this respect, our electronic sentinel will rely on artificial intelligence to enrich these knowledge bases and ensure the veracity of the phenomena it quantifies by avoiding triggering false alarms.","PeriodicalId":405638,"journal":{"name":"2020 International Conference on Advanced Aspects of Software Engineering (ICAASE)","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116789149","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

An Auto Scaling Energy Efficient Approach in Apache Hadoop Apache Hadoop中的自动伸缩节能方法

2020 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2020-11-28 DOI: 10.1109/ICAASE51408.2020.9380109

Nemouchi Warda Ismahene, Souheila Boudouda, N. Zarour

引用次数: 0

Ensuring QoS and Efficiency of Vehicular Networks by SDVN-IoV 利用SDVN-IoV保障车联网的QoS和效率

2020 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2020-11-28 DOI: 10.1109/ICAASE51408.2020.9380115

Ben Yahmed Sarra, S. Merniz, S. Harous

引用次数: 1

A software development process based on UML state machines 基于UML状态机的软件开发过程

2020 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2020-11-28 DOI: 10.1109/ICAASE51408.2020.9380117

Eric Cariou, Léa Brunschwig, Olivier Le Goaër, F. Barbier

引用次数: 1

Binary Gabor pattern (BGP) descriptor and principal component analysis (PCA) for steel surface defects classification 基于二元Gabor模式描述符和主成分分析的钢表面缺陷分类

2020 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2020-11-28 DOI: 10.1109/ICAASE51408.2020.9380108

R. Zaghdoudi, Hamid Seridi, A. boudiaf, S. Ziani

{"title":"Binary Gabor pattern (BGP) descriptor and principal component analysis (PCA) for steel surface defects classification","authors":"R. Zaghdoudi, Hamid Seridi, A. boudiaf, S. Ziani","doi":"10.1109/ICAASE51408.2020.9380108","DOIUrl":"https://doi.org/10.1109/ICAASE51408.2020.9380108","url":null,"abstract":"Efficient surface defect classification is one of the most important factors to achieve online quality inspection for hot-rolled strip steels. It is extremely challenging owing to its localization on a large surface, various defect appearance, large scale changes of defects, and random distribution. Therefore, in this paper, we proposed an efficient system for steel surface defects classification that can attain excellent classification accuracy. The presented system extracts local texture features from defect images, by application of the binary Gabor pattern (BGP) descriptor used for the first time on the steel surface defects classification. Then, a dimensionality reduction procedure, based on the principal component analysis (PCA) is employed to obtain compact representation of the defects image. Lastly, SVM multiclass classifier is utilized to give the final decision. A set of experiments was conducted on the NEU Surface Defects database to investigate the performance of the proposed system. The results obtained demonstrate the effectiveness of the proposed approach for steel surface defects classification.","PeriodicalId":405638,"journal":{"name":"2020 International Conference on Advanced Aspects of Software Engineering (ICAASE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129859493","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: 8

A Blockchain Data Balance Using a Generative Adversarial Network Approach: Application to Smart House IDS 使用生成对抗网络方法的区块链数据平衡:在智能住宅IDS中的应用

2020 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2020-11-28 DOI: 10.1109/ICAASE51408.2020.9380110

Wayoud Bouzeraib, Afifa Ghenai, N. Zeghib

{"title":"A Blockchain Data Balance Using a Generative Adversarial Network Approach: Application to Smart House IDS","authors":"Wayoud Bouzeraib, Afifa Ghenai, N. Zeghib","doi":"10.1109/ICAASE51408.2020.9380110","DOIUrl":"https://doi.org/10.1109/ICAASE51408.2020.9380110","url":null,"abstract":"The rapid development of information and communication technologies makes the Internet of Things (IoT) devices much more complex and heterogeneous. In this context, the massive end devices (IoTs) and the large volume of data raise security and privacy challenges. To tackle these issues, the joint use of the Bockchain (BC) and Machine Learning (ML) seems attractive to achieve decentralized, secure, intelligent and efficient management of networks. On the one hand, the BC can greatly facilitate the sharing of training data and ML models, the decentralization of intelligence, security, privacy and reliable ML decision-making. On the other hand, ML may have significant impacts on the development of BC in communications and networking systems, including energy and resource efficiency, scalability, security, privacy and smart contracting. An important aspect of security intends to detect unusual and potentially inappropriate activities according to traffic patterns. This paper focuses on the problem of imbalance data where the number of abnormal samples is significantly lower than that of the normal (secure) ones. In particular, this paper presents a new equilibrium model based on an exciting recent innovation in ML namely Generator Adverse Networks (GANs) to address the problem of class imbalance and data noise to Intrusion Detection System (IDS) performance. The proposed approach use is illustrated by a case study: a smart house system-based scenario.","PeriodicalId":405638,"journal":{"name":"2020 International Conference on Advanced Aspects of Software Engineering (ICAASE)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116273454","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

ICAASE 2020 List of Authors ICAASE 2020作者名单

2020 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2020-11-28 DOI: 10.1109/icaase51408.2020.9380103

引用次数: 0

Android Malware Detection using Convolutional Deep Neural Networks 基于卷积深度神经网络的Android恶意软件检测

2020 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2020-11-28 DOI: 10.1109/ICAASE51408.2020.9380104

Fatima Bourebaa, M. Benmohammed

引用次数: 2

A Cloud Data Classification Model Using Fuzzy Logic 基于模糊逻辑的云数据分类模型

2020 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2020-11-28 DOI: 10.1109/ICAASE51408.2020.9380119

Oussama Arki, Abdelhafid Zitouni, A. Hadjali

引用次数: 0

System of Systems Modelling: Recent work Review and a Path Forward 系统建模系统:最近的工作回顾和前进的道路

2020 International Conference on Advanced Aspects of Software Engineering (ICAASE) Pub Date : 2020-11-28 DOI: 10.1109/ICAASE51408.2020.9380125

Charaf Eddine Dridi, Zakaria Benzadri, F. Belala

{"title":"System of Systems Modelling: Recent work Review and a Path Forward","authors":"Charaf Eddine Dridi, Zakaria Benzadri, F. Belala","doi":"10.1109/ICAASE51408.2020.9380125","DOIUrl":"https://doi.org/10.1109/ICAASE51408.2020.9380125","url":null,"abstract":"Systems-of-Systems (SoSs) stand out from monolithic systems, because of their composed nature, their large scale, their decentralized control mechanism, their evolving environments, and their large number of stakeholders. Due to the varied methodologies and domains of applications in existing literature, there does not exist a single unified consensus for processes involved in System-of-Systems Engineering (SoSE). The purpose of this article is to provide a cursory description of the SoS basic concepts on the one hand, and then to analyse the main challenges in its development. Finally, we report the literature review showing various techniques and methods that have been modified from the conventional systems engineering to better fit the needs of SoSs design. We hope the findings of this work may encourage and inform the community researchers of the creation of a more holistic and unified engineering process that is tailored for the demands of these large-scale systems. Thus, the complexity of the SoS development lends itself nicely to a Model-Based Systems Engineering (MBSE) which provides communication and verification that transcends the levels of development. MBSE uses a model or set of models to document and communicate from the system requirements level down to the software implementation level.","PeriodicalId":405638,"journal":{"name":"2020 International Conference on Advanced Aspects of Software Engineering (ICAASE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123369438","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: 9