0000000000470176

AUTHOR

Amira Mouakher

showing 7 related works from this author

De la science à l’expérience, la pluralité des savoirs en viticulture : le cas des maladies.

2020

International audience

[SHS.INFO]Humanities and Social Sciences/Library and information sciences[SHS.INFO] Humanities and Social Sciences/Library and information sciencesComputingMilieux_MISCELLANEOUS
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An Ontology-Based Monitoring System in Vineyards of the Burgundy Region

2019

Given the France's rich wine heritage as well as its pioneering position as the world's second wine producer, the production of high quality wines plays a role of primary importance. The recent development of IOT and efficient big data processing has been shown to provide purposeful issue to permanent monitoring during the entire wine making process. Standing within this trend, we introduce in this paper an intelligent system for vineyards monitoring in the Burgundy region. The main trust of the proposed system relies on the use of the Swrl rules in WineCloud ontology. The design of the ontology is mainly based on information gathered from interviews with wine growers. In addition, sensor d…

WineAssociation rule learningProcess (engineering)Computer sciencemedia_common.quotation_subject010401 analytical chemistry020206 networking & telecommunicationsMonitoring system02 engineering and technologyOntology (information science)01 natural sciencesData scienceVineyard0104 chemical sciences0202 electrical engineering electronic engineering information engineeringProduction (economics)Quality (business)media_common2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)
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Une ontologie de la culture de la vigne : des savoirs académiques aux savoirs d'expérience

2019

16.00 Normal 0 21 false false false FR X-NONE X-NONE Dans le cadre d’un projet FUI initie en octobre 2016 (projet winecloud ) visant a construire un outil de tracabilite et predictif du cycle de la vigne et du vin, un travail sur la collecte et la nature des savoirs a ete necessaire de maniere a penser un systeme ontologique qui se rapproche le plus du raisonnement du domaine metier. Le present article vise plus specifiquement a etudier le cycle de vie de la vigne. Nous rendons compte que les savoirs academiques presents dans les sources theoriques et scientifiques s’ajustent, se reactualisent a la lumiere des savoirs d’experience des viticulteurs. Ce travail s’attache egalement a analyser …

[SHS.INFO]Humanities and Social Sciences/Library and information sciencesGeneral Medicine[SHS.INFO] Humanities and Social Sciences/Library and information sciences
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STCMS: A Smart Thermal Comfort Monitor For Senior People

2020

Undoubtedly, the steady increase in the number of elderly people is not to be underestimated. These demographic changes call attention to new challenges regarding adequate aging-in-place strategies. Since the majority of the senior population spend up to 90% of their time indoors, appropriate and comfortable housing represents an important foundation for such strategies. In this respect, different types of data gathered from sensors, connected devices, and Internet of Things (IoT) technologies come to play an important role to support services for the elderly population in indoor environments. One of the aspects of concern is thermal comfort. In this paper, we introduce a new deep learning-…

education.field_of_study010504 meteorology & atmospheric sciencesbusiness.industryComputer scienceTerm memoryDeep learningPopulation0211 other engineering and technologiesThermal comfort02 engineering and technologyEnergy consumption01 natural sciencesThermostatData typelaw.inventionRisk analysis (engineering)Home automationlaw021108 energyArtificial intelligencebusinesseducation0105 earth and related environmental sciences2020 IEEE 29th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)
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Preventing Overlaps in Agglomerative Hierarchical Conceptual Clustering

2020

Hierarchical Clustering is an unsupervised learning task, whi-ch seeks to build a set of clusters ordered by the inclusion relation. It is usually assumed that the result is a tree-like structure with no overlapping clusters, i.e., where clusters are either disjoint or nested. In Hierarchical Conceptual Clustering (HCC), each cluster is provided with a conceptual description which belongs to a predefined set called the pattern language. Depending on the application domain, the elements in the pattern language can be of different nature: logical formulas, graphs, tests on the attributes, etc. In this paper, we tackle the issue of overlapping concepts in the agglomerative approach of HCC. We …

Structure (mathematical logic)Theoretical computer scienceComputer scienceConceptual clustering02 engineering and technologyDisjoint setsHierarchical clusteringSet (abstract data type)Pattern language (formal languages)ComputingMethodologies_PATTERNRECOGNITIONApplication domain020204 information systems0202 electrical engineering electronic engineering information engineeringUnsupervised learning020201 artificial intelligence & image processing
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WINECLOUD: Une ontologie d'événements pour la modélisation sémantique des données de capteurs hétérogènes

2019

International audience

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][INFO]Computer Science [cs][INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[INFO] Computer Science [cs][INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputingMilieux_MISCELLANEOUS[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
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Bɪ-CомDᴇт: Community Detection in Bipartite Networks

2019

Abstract Extracting hidden communities from bipartite networks witnessed a determined effort. In this respect, different streams of research relied on bipartite networks to unveil communities. In this paper, we introduce a new approach, called Bi-Comdet, that aims to an efficient community detection in bipartite networks. The main trust of the introduced approach is that it stresses on the importance of grouping two types of nodes in communities having a full connection between its nodes. The quality of the unveiled communities, is assessed through some metrics borrowed from the FCA community, to wit modularity, overlapping and stability. These metrics are then aggregated through the use of…

Modularity (networks)Theoretical computer scienceComputer sciencemedia_common.quotation_subjectStability (learning theory)Conductance020206 networking & telecommunications02 engineering and technologyModularity0202 electrical engineering electronic engineering information engineeringBipartite graphGeneral Earth and Planetary Sciences020201 artificial intelligence & image processingQuality (business)General Environmental Sciencemedia_commonProcedia Computer Science
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