103 research outputs found
Simulation of autonomous systems in the extended marine domain
No full textThis 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
HYPERBARIC PLANT SIMULATION FOR INDUSTRIAL APPLICATIONS
No full textSeveral industrials sectors require to extend underwater capabilities by adopting alternative and multiple solutions both involving human divers as well as robotic technologies such as ROVs & AUVs. In general the main mandate is to improve performance reducing costs and risks. On the other side, new technologies and advancements are enabling to further develop the potential of the above mentioned solutions; for instance the authors propose a new generation of computer based Hyperbaric Plant Simulators that are pretty promising for improving training & education without rising costs of underwater man based operations. This paper proposes an innovative approach in M&S for the Hyperbaric Life Support Supervisors (LSS) as well as other operators active into diving activities
SIMULATION AS DECISION SUPPORT SYSTEM FOR DISASTER PREVENTION
No full textThis paper describes the overall architecture of a simulator developed by Simulation Team and Genova University to address the problem of strategic decision making related to prevention and mitigation of natural disasters risks. The proposed approach combines a Decision Support System for supporting decision makers in strategic planning with interoperable simulation and serious games. The scenario used for the validation in this case focuses with a particular attention on hydrogeology and related risks within urban environments. The authors propose a multilevel and multi resolution simulation able to match the models of the flooding with that one of the population reproducing interest groups as well as single people. Indeed the
population is simulated by intelligent agents (IAs) that include physiological, social and psychological parameters reproducing feelings and emotions that
allow them to live and move inside the virtual city both in normal conditions as well as during the disasters. In facts in normal conditions works devoted to serve as preventive actions devoted to prevent certain events and or mitigate their impact are carried out; vice versa during the crisis, decisions change addressing the identification of convenient operational planning and/or evacuation site. Each time, an action is undertaken by the decision makers, the IAs react dynamically by changing their feelings and their political consensus, so it becomes possible to plan the actions in an effective way by maintaining the consensus and support of the population
Simulation of crisis affecting critical infrastructures and industrial plants
No full textThis paper proposes a model for reproducing human behaviors and it is devoted to evaluate the operation performance in case of crisis with special attention to cases involving multiple actors such as fire-fighters, police, ambulances, civil protection and national reserve. The paper present the general scheme and the data structure used to conduct experiments related to cases of flooding and hazardous material spills in industrial and urban areas
Word of Mouth, Viral Marketing and Open Data: A Large-Scale Simulation for Predicting Opinion Diffusion on Ethical Food Consumption
No full textThe file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.This paper presents the first results of a large-scale-Agent-Based Simulation devoted to simulate individual behaviour inside a medium sized city (600,000 inhabitants). Humans are simulated as Intelligent Individual entities characterized by several attributes created from the Open Data available by means of a multi-layer approach. The work presented is divided into two main parts: the first part aims to describe the multi-layer approach adopted with the inclusion of the social network layer devoted to capture how social networks can be correlated with human activities and how an “Individual Opinion” can changes based on social interactions. The second part is devoted to present a preliminary case study for simulating the propagation dynamics of the individual opinion in the form of an ethical value function. The basic idea is to capture the changes in the individual opinion based on the social interactions predicted by the simulation. Finally, a food choice model for predicting individual choices based on the individual opinion function is presented; the model is based on three parameters: accessibility of ethical shops, price difference with standard products, and ethical value propagation
INTELLIGENT AUTONOMOUS SYSTEM DEVOTED TO IMPROVE EFFICIENCY AND SAFETY IN INDUSTRIAL PLANT
No full textThe industrial plants, in process industries, are often characterized critical environments and dangerous conditions respect the utilization of human workforce.
These aspects are quite common in chemical, oil & gas, iron & steel plants where this combination of factors causes serious accidents. The aim of this study is to develop a new generation of intelligent autonomous system capable to support operations in these environments reducing the presence of workers in most risky operations. In order to succeed in this task, these new systems must be suitable to operate in complex
industrial environments and to face related threats and risks. Indeed, this paper proposes an analysis of a complex industrial environment related to hot metal production by identify the most dangerous areas and operations as well as potential critical elements for autonomous vehicle use. Consequently, simulation solutions are proposed to support engineering of these innovative robotic system as well as development of new operations and procedures
Development planning based on interoperable agent driven simulation
No full textAbstract
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). (C) 2014 Published by Elsevier B.V
Modelling fresh goods supply chain contamination
No full textThis paper proposes models of supply chain devoted to investigate food contamination with special attention to fresh goods; these phenomena are becoming more a more critical and the paper proposes models of both demand evolution, countermeasures for mitigating the impact, operations and logistics; an experimental analysis is provided in order to validate the models and the proposed approach
Safety and security in fresh good supply chain
No full textThis paper proposes a model aimed at investigating safety and security issues in fresh good supply chain. Particular attention is paid on fresh goods contamination since the increasing complexity of supply chains makes these events more likely to happen. To this end, a discrete event simulator (DES) underpinned by an analytical model has been developed as a support tool for prevention and mitigation. Indeed, the simulation model is able to recreate the disruption wave propagation along the supply chain due to a contamination event as well as the effects on the dynamic evolution of contaminated products demand taking into account complex phenomena like media campaigns. In addition, even the economic impacts in terms of costs (i.e. transportation costs, inventory costs, and lost sales) can be assessed. The potentials of the proposed simulation framework have been investigated in a real case study of a fresh food supply chain located in the north of Italy
Modeling and Simulation as Support for Development of Human Health Space Exploration Projects
No full textThe capability of the space environment to
alter the cells behaviour seems to be an opportunity for
future researches in biology, for diseases such as cancer.
This paper highlights the importance of Interoperable
Simulation Systems as precious instruments to support and
improve space exploration projects devoted to biological
researches. The research investigates the potential of
Modeling & Simulation to reproduce a virtual environment
to support Nano-satellite experiments in cooperation among
the different stakeholders involved in a space mission, such
as scientist, engineers and biologists
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