Abstract-The Modeling and Simulation (M&S) of complex systems leans on the collaboration between different actors coming from specific domains. These actors have to communicate through an efficient software in order to improve the M&S process. We therefore propose in this article a collaborative M&S software framework called DEVSimPY. We point out the use of DEVSimPy through a concrete case study: hydraulic network management.

The Sustainable TEchnologies for LittoraL Aquaculture and MArine REsearch (STELLA MARE) platform has as an objective to provide data for the management of the sea in relation with the fishing industry. In this paper, we introduce the first experiment on the active tracking of a crab species, Maja squinado, symbolic of the deregulation of fishing activity. This paper introduces the method used for monitoring Maja squinado and the first collected data on the behavior of this little-known species.

International audienc

University of Corsica and CNRS are working on a scientific program called "Smart Paesi". This project focus on a sustainable rural territories development using advanced artificial intelligence concepts in order to adapt smart city concept (including sustainable development, ICT with by example wireless sensors network, education, e-citizenship, governance) to rural territories and their specificities. In this paper, we introduce a new approach combining discrete event modelling concepts and machine learning methods. This work is a first step towards the conception of a generic and scalable framework allowing model generation from large amount of data.

Fuzzy Inference Systems (FIS) have the advantage of relying on the properties of Fuzzy Logic to represent imperfect information so gradually, and manipulate them from a linguistic description. This exibility of representation is more signicant for the study of complex systems. Our aims are to propose a formal approach for describing FIS as a Discrete Event System (DES), and to extend a DES in order to use the many advantages oered by FIS: exibility, easy implementation, robustness... In this paper, we present the extension of Discrete EVent system Specication (DEVS) formalism to represent FIS, and we propose a modular approach (DEV-FIS) to use several optimization methods. We focus mainly on the used new aproach about using genetic algoritm in order to optimize the FIS.

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The Smart Village project is a scientific programme of the University of Corsica where an information system based on LoRA communication technology has been deployed, allowing the collection of millions of pieces of information, notably concerning agricultural activities. In this article, we present the system deployed and the limits of its use due to the experimentation site. We discuss the development of a more robust architecture integrating data processing as close as possible to agricultural operations in an edge and fog layer structure.

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