Modélisation basée sur une ontologie pour la simulation de comportements de nouveaux-nés lors de la réanimation cardio-pulmonaire

International audienceThis chapter concerns the formulation of a methodology and its implementation to elaborate a training simulator for medical staff who may be confronted with the critical situations of new-borns resuscitation. The simulator reproduces the different cardio-pulmonary pathological behaviours of new-borns, the working environment of resuscitation rooms, and the monitoring and control environment of the learners by a teacher. Conceptual models of new-borns behaviours combined with the cardio-pulmonary resuscitation gestures have been developed. The methodological process is jointly using cognitive approaches with formal modelling and simulation. Cognitive approaches are mobilized to elaborate application ontologies to be the bases for the development of the conceptual models and the specification of the simulator. Ontologies have been developed on the bases of a corpus of academic documents, return on experience documents, and practitioner interviews, by means of the Knowledge Oriented Design (KOD) method. A discrete event formalism has been used to formalize the conceptual models of the new-borns behaviours. As a result, a simulator has been built to train medical practitioners to face situations, which are reported to potentially cause errors and thus improve the safety of the resuscitation gestures

Ontology-Based Modeling for Newborn Behavior Simulation during Cardiopulmonary Resuscitation

This chapter concerns the formulation of a methodology and its implementation to elaborate a training simulator for medical staff who may be confronted with the critical situations of newborn resuscitation. The simulator reproduces the different cardiopulmonary pathological behaviors of newborns, the working environment of resuscitation rooms, and the monitoring and control environment of the learners by a teacher. Conceptual models of newborn behaviors combined with the cardiopulmonary resuscitation gestures have been developed. The methodological process is jointly using cognitive approaches with formal modeling and simulation. Cognitive approaches are mobilized to elaborate application ontologies to be the bases for the development of the conceptual models and the specification of the simulator. Ontologies have been developed on the bases of a corpus of academic documents, return on experience documents, and practitioner interviews, by means of the knowledge-oriented design (KOD) method. A discrete event formalism has been used to formalize the conceptual models of the newborn behaviors. As a result, a simulator has been built to train medical practitioners to face situations, which are reported to potentially cause errors, and thus improve the safety of the resuscitation gestures

Étude de la Vulnérabilité des Chaînes Logistiques Fondée sur l'Ingénierie Cognitive et les Modèles Formels ARIMA

International audienceThis research concerns the formulation of models and methods for supply chains risk analysis. An ontological approach using the KOD method (Knowledge Oriented Design) has been implemented to clearly identify relationships between the concepts of supply chain, risk, vulnerability and disturbances (critical scenarios). As a result, conceptual models of supply chains facing risk situations and critical scenarios are proposed. From the resulting conceptual models and mathematical models proposed in the literature, a multi-stage supply chain model using ARIMA models incorporating the randomness of the demand has been elaborated. In order to adapt this model to scenario criticality, constraints on orders and inventories have been taken into account. Under critical disturbances on information flows (demand) and physical flows (quality of the product supplied), constraints can be reached and supply chain behaviours can evolve toward critical dynamics or even become unstable. Supply chain vulnerabilities has been assessed and discussed

Développement d'un outil informatique opérationnel d'aide à la décision et de modélisation des pollutions en Méditerranée

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Modélisation basée sur une ontologie pour la simulation de comportements de nouveaux-nés lors de la réanimation cardio-pulmonaire

International audienceThis chapter concerns the formulation of a methodology and its implementation to elaborate a training simulator for medical staff who may be confronted with the critical situations of new-borns resuscitation. The simulator reproduces the different cardio-pulmonary pathological behaviours of new-borns, the working environment of resuscitation rooms, and the monitoring and control environment of the learners by a teacher. Conceptual models of new-borns behaviours combined with the cardio-pulmonary resuscitation gestures have been developed. The methodological process is jointly using cognitive approaches with formal modelling and simulation. Cognitive approaches are mobilized to elaborate application ontologies to be the bases for the development of the conceptual models and the specification of the simulator. Ontologies have been developed on the bases of a corpus of academic documents, return on experience documents, and practitioner interviews, by means of the Knowledge Oriented Design (KOD) method. A discrete event formalism has been used to formalize the conceptual models of the new-borns behaviours. As a result, a simulator has been built to train medical practitioners to face situations, which are reported to potentially cause errors and thus improve the safety of the resuscitation gestures

Développement d'une méthode d'aide à l'implantation de barrières amovibles contre les inondations : la méthode INDIGOO

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Le Module d'Assistance à la Génération de Plans d'Intervention

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Aide à l'implantation de barrières amovibles contre les inondations : l'outil informatique INDIGOO

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Orléans : étude relative à la protection de la zone centre en bordure des quais

Ce rapport d’activité concerne « l’Étude Relative à la Protection de la Zone Centre d’Orléans située en bordure des quais». Il constitue le dernier livrable d’un projet de recherche contractuel établi entre la société Altoo, Aix-­‐Marseille Université (AMU) et le Centre National de la Recherche Scientifique (CNRS). Le Plan Loire Grandeur Nature est l’organisme financeur de ce projet. L’objet de ce projet de recherche consistait à établir une méthode générique (la méthode Indigoo) d’évaluation des impacts d’une inondation sur un territoire, en terme de dommages monétaires, et des apports de mesures de protection, en terme de bénéfices ou d’économies monétaires. L’étude qui fait l’objet de ce rapport est destinée à tester et valider la méthode Indigoo. Une étude similaire a été réalisée sur le territoire de la ville de Tarascon. Ce travail a été mené de façon conjointe à une étude technique qui a permis de caractériser expérimentalement les performances du système Altoo en présence de contraintes hydrodynamiques. Les modèles expérimentaux issus de cette étude ont servis de base à la construction d’un simulateur de scénarii d’inondation. Les résultats de ces simulations sont intégrés à Indigoo en vue d’évaluer l’apport du système Altoo

Introduction

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