{"title":"Evaluation of behavioral changes for deduction the learning profiles","authors":"F. Ammor, D. Bouzidi, A. Elomri","doi":"10.1109/NGNS.2012.6656101","DOIUrl":"https://doi.org/10.1109/NGNS.2012.6656101","url":null,"abstract":"The e-learning systems have been of particular interest in recent years, research in this area is highly evolved to best support face to face learning systems. However, even if the experiments have demonstrated many advantages, limitations primarily related to significant dropout rates still persist. Indeed, this is due to several reasons including the lack of support and the feeling of isolation that the learner may have. Our paper proposes a solution to address this problem by providing appropriate support for student according to his learning style to increase their motivation and fight their feelings of isolation. Several solutions have been proposed to support learners in their learning process, ranging from suggestions on the association of working groups to analyzing facial expressions in order to deduce learners' emotions. In this paper, we suggest a support system allowing to provide learners with personalized assistance expressions in order to support them throughout their learning and that deduces their learning profiles by analyzing their interactions outcomes. This deduction is performed by adapting the algorithm classification ANTClust that will allow us (1) to deduce learners' learning profiles and (2) to track the evolution in their behavioral changes in order to infer their exact profiles.","PeriodicalId":102045,"journal":{"name":"2012 Next Generation Networks and Services (NGNS)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124249538","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}
Souad Belmoubarik, H. Bilil, G. Aniba, M. Maaroufi, B. Elgraini
{"title":"Dynamic assignment of renewable energy tokens in a collaborative microgrids","authors":"Souad Belmoubarik, H. Bilil, G. Aniba, M. Maaroufi, B. Elgraini","doi":"10.1109/NGNS.2012.6656092","DOIUrl":"https://doi.org/10.1109/NGNS.2012.6656092","url":null,"abstract":"Nowadays, electrical energy consumption and energy prices have increased. Thus, the microgrids (μGs) rely on renewable energy receive more attention from consumers. New neighborhoods opt for green philosophy where the most consumed energy comes from renewable generation. Indeed, each residence could be supplied from its own solar and wind generation or from centrally located power plant. However, the latters present many problems in efficiency and reliability. This paper proposes a new approach based on a dynamic assignment of renewable energy tokens (DARET) algorithm to add a smart behavior to μGs. The proposed algorithm allows residential μGs of a small geographic area to dynamically collaborate and share their individual green energy generation in order to supply their overall load. The sharing is dynamically updated in short-term by exchanging data, in terms of individual demands and supplies, between the consumers over wireless links.","PeriodicalId":102045,"journal":{"name":"2012 Next Generation Networks and Services (NGNS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121434204","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}
E. Zemmouri, Hicham Behja, B. Ouhbi, B. Trousse, A. Marzak, Y. Benghabrit
{"title":"Goal driven approach to model interaction between viewpoints of a multi-view KDD process","authors":"E. Zemmouri, Hicham Behja, B. Ouhbi, B. Trousse, A. Marzak, Y. Benghabrit","doi":"10.1109/NGNS.2012.6656066","DOIUrl":"https://doi.org/10.1109/NGNS.2012.6656066","url":null,"abstract":"A data mining project is usually held by several actors (domain experts, data analysts, KDD experts ...), each with a different viewpoint. In this paper we propose to enhance coordination and knowledge sharing between actors of a multi-view KDD analysis through a goal driven modeling of interactions between viewpoints. After a brief review of our approach of viewpoint in KDD, we will first develop a Goal Model that allows identification and representation of business objectives during the business understanding step of KDD process. Then, based on this goal model, we define a set of relations between viewpoints of a multi-view analysis; namely equivalence, inclusion, conflict and requirement.","PeriodicalId":102045,"journal":{"name":"2012 Next Generation Networks and Services (NGNS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114739426","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}
Chara Aziz, B. habib, A. Tragha, Elguemmat Kamal, Rachdi Mohamed
{"title":"Improvement of the “gene/clone” approach and establishment of a meta social network","authors":"Chara Aziz, B. habib, A. Tragha, Elguemmat Kamal, Rachdi Mohamed","doi":"10.1109/NGNS.2012.6656088","DOIUrl":"https://doi.org/10.1109/NGNS.2012.6656088","url":null,"abstract":"Currently, Internet is considered as the main information source, this information is not directly exploitable by computers, that's what make the importance of the problem of information extraction from the web. In literature, there is many approaches and methods of extracting data from the web. Our article is about the \"gene/Clone\" approach that is an approach for extracting information from the web ,it consist on generating a gene from a set of examples instances entered by the user. The gene designate the smallest repetitive structure containing all values of examples instances. The search of the clones of gene allows to retrieve the other instances of the relationship to extract. The objective of this paper is to improve the accuracy of the Gene / Clone approach, so we propose new concepts namely the structural prefix and structural suffix . The use of structural prefixes and structural suffixes allows to increase the accuracy of the gene and so improve the accuracy of data extraction . At the end of this article, we propose a direct use of our approach, in fact, we have developed an application for extracting and gathering data from several social networks in order to generate a meta social network.","PeriodicalId":102045,"journal":{"name":"2012 Next Generation Networks and Services (NGNS)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127996327","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}