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Savona, Italy

Tremori A.,University of Genoa | Agresta M.,Simulation Team | Ferrando A.,Simulation Team
International Journal of Simulation and Process Modelling | Year: 2016

This paper is focused on characteristics and goals of an integrated architecture which aims at reproducing joint interoperability among autonomous systems. The paper proposes an experimentation over a scenario developed for the maritime context that uses an innovative simulator. The authors' goal, during such research, consists of identifying requirements related to these simulators so that they accurately keep into account the most important elements affecting real operative context. This analysis is addressing training (Kennedy, 2010), engineering and it could be further developed for supporting or operation supervision. General architecture devoted to integrate such simulators within a federation, together with the approach that has been used in order to carry out this operation, represent the subjects of this paper; the mission environment has been created with the only goal to test the federation, and similarly simulation architecture and conceptual models are validated through proposed preliminary activities. © Copyright 2016 Inderscience Enterprises Ltd. Source


Massei M.,University of Genoa | Poggi S.,Simulation Team | Agresta M.,Simulation Team | Ferrando A.,MAST Srl
Journal of Computational Science | Year: 2014

The paper presents the potential of using interoperable agent driven simulation to support development planning; indeed the use of simulation represents a strong benefit to improve planning of infrastructures and plants devoted to disaster relief, civil protection and/or support to country development; the paper describes models used to face these challenges and last updates in population modeling for these applications. The proposed models include population characteristics, need as well as their social networks. In humanitarian support operations and country reconstruction there is a huge potential to use simulators; the paper describes how these models should be designed to support training as well operational planning. The models should be able to consider the impacts of contingencies as well as to guarantee the quick responsiveness requirements for humanitarian crisis management. The authors propose a simulator to be shared and used among Armed Forces and Civil Agencies for addressing Crisis Management, Humanitarian Missions, Country Reconstruction and Development considering joint operations (i.e. Civil Military Cooperation); indeed the paper outlines the importance of training people devoted to guarantee interoperability among civil organization and military units in this sector. The paper describes the models based on interoperable simulation as well as the agents driving the entities during the simulation to create quickly complex scenarios able to consider the impact on population and communities of the different actions by including human behavioral models. The proposed approach guarantees interoperability among different simulators within an HLA (High Level Architecture) federation in order to recreate crisis scenarios combining detailed simulation of multiple factors. The proposed approach is verified and validated by proposing an experimental analysis where it is evaluated a set of construction projects (i.e. digging wells) in a stabilization area and their effectiveness both in terms of direct result (i.e. water availability) as well as of population consensus and disaster relief (i.e. stress mitigation, trustiness respect supporting players). © 2014. Source


Bruzzone A.G.,University of Genoa | Longo F.,MSC LES UNICAL | Agresta M.,Simulation Team | Di Matteo R.,Simulation Team | Maglione G.L.,Simulation Team
Simulation Series | Year: 2016

This paper proposes an environment devoted to simulate the use of autonomous systems in the context of space exploratory missions and operations; this research focuses on supporting engineering of autonomous systems and of their innovative artificial intelligences through interoperable simulation. The proposed approach enables also development of training and educational solutions for use of robots and autonomous systems in space critical environments. The paper addresses different application areas including robotic inventory and warehouse solutions, intelligent space guard systems, drones for supporting extravehicular activities and for managing accidents and health emergencies. The paper investigates the potential of autonomous systems as well as their capability to interoperate with other systems and with humans, especially in critical environments. Finally, the paper presents the existing researches for interoperable simulators devoted to address these challenging topics within Simulation Exploratory Experience initiative. © 2016 Society for Modeling & Simulation International (SCS). Source


Bruzzone A.G.,Center for Maritime Research and Experimentation | Massei M.,University of Genoa | Solis A.O.,York University | Simonluca P.,Simulation Team | And 2 more authors.
Simulation Series | Year: 2013

This paper is focused on design and development of an advanced serious game for the maritime domain. The authors propose an innovative approach to developing training and educational support for navy vessels and/or offshore platforms. This serious game is a distributed and multi-user simulation framework that allows the reduction of time, costs, and risks of training, by introducing the crew to operating procedures before having to carry out real tests at sea. The research is based on development of educational programs and virtual frameworks supporting cooperative training for complex operations management. Source


Bruzzone A.G.,University of Genoa | Madeo F.,Simulation Team | Dallorto M.,Simulation Team | Poggi D.,Simulation Team | Ferrando A.,Simulation Team
Simulation Series | Year: 2013

The Process Industry represents a business sector currently affected by a positive trend in Fast Developing Areas; as result the Modeling & Simulation is becoming back pretty active in this sector to support plant engineering, automation and control solutions. In this paper, it is proposed a state of art about solutions in modeling Industrial Process Plants; then the authors propose a model as decision support system for a chemical industry with focus on logistics activities. The case highlights the importance of M&S for supporting Industrial Companies in decision making and analysis. The proposed work includes description of the different phases: Data Collection (Flow Data, Time Tables and Costs Tables are critical), Conceptual Model Development, Model Implementation to simulate logistic processes and Execution & Analysis. Source

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