INTEROPERABILITY FOR MODELING AND SIMULATION IN MARITIME EXTENDED FRAMEWORK

This thesis reports on the most relevant researches performed during the years of the Ph.D. at the Genova University and within the Simulation Team. The researches have been performed according to M&S well known recognized standards. The studies performed on interoperable simulation cover all the environments of the Extended Maritime Framework, namely Sea Surface, Underwater, Air, Coast & Land, Space and Cyber Space. The applications cover both the civil and defence domain. The aim is to demonstrate the potential of M&S applications for the Extended Maritime Framework, applied to innovative unmanned vehicles as well as to traditional assets, human personnel included. A variety of techniques and methodology have been fruitfully applied in the researches, ranging from interoperable simulation, discrete event simulation, stochastic simulation, artificial intelligence, decision support system and even human behaviour modelling

Digital Twin in Naval Environment

A naval vessel is usually engaged in demanding operations that take place in a multifaceted environment. This requires a solid design of the ship as a platform and a prompt decision-making response. To support both the design and operation phases, digital tools and techniques have been widely implemented, along with a significant number of sensors and probes installed onboard. All of these features pave the way for the development of a Digital Twin model, which will be beneficial for the naval sector. In this work, relevant applications and a use case have been presented and discussed, with the goal of highlighting the added value and critical issues in the perspective of gathering them in a Digital Twin environment. The steps required to develop a shared reference digital architecture have been identified, as well as the gaps that need to be filled

A STRATEGIC SERIOUS GAME ADDRESSING SYSTEM OF SYSTEMS ENGINEERING

Serious Games are currently extending their capabilities to strategic Education and Training by innovative approaches and new technological solutions. In this paper, the authors propose a new Serious Game devoted to address such aspects with special focus on System of Systems Engineering (SoSE). The proposed case uses a challenging framework related to the development of an innovative System of Systems for defense and homeland security that could be used by users to acquire the fundamental concepts of SoSE. The scenario allows to investigate alternative interoperable solutions among different platforms, sensors, infrastructures and doctrines respect evolving threats in relation to an air defense solution based on airborne radars

SIMULATION OF AUTONOMOUS SYSTEMS COLLABORATING IN INDUSTRIAL PLANTS FOR MULTIPLE TASKS

The autonomous systems are continuously extending their application fields and current advances in sensors and controls are enabling the possibility to operate also inside buildings and industrial plants. These new capabilities introduce challenges to be addressed in order to carry out new tasks and missions. This paper proposes advances in Modeling, interoperable Simulation and Serious Games devoted to support researches supporting autonomous system operations within Industrial Facilities

Simulation of power plant environmental impacts within the extended marine framework

This paper proposes the use of Modelling and Simulation to analyse the different Environmental Impacts of Industrial Facilities with special attention to Power Plant located within the Extended Maritime Framework. The approach proposed is based on combining different simulation approaches to be able to reproduce the phenomena affecting this context in a comprehensive way. The simulation experimental results are dynamically presented and updated within a Synthetic Environment, based on a Serious Game, in order to be able to augment the virtual representation with additional information. It is proposed a case study related to a Power Plant including different Gas Turbines located in front the coast and the scenario include the evaluation of the emissions on the Atmosphere, Sea Water and Ground, the inclusions on these domains as well as their impact on the flora, fauna and social layers

Interoperable Simulation and Serious Games for creating an Open Cyber Range

The paper proposes an open architecture to support the creation of a synthetic environment devoted to simulate complex scenarios related to the protection of cyber-physical systems. The proposed approach is based on applying the combination of interoperable simulation and serious games to develop a framework where different models, as well as real equipment, could interoperate based on High Level Architecture standard. By this approach, it becomes possible to create a federation reproducing a scenario including multiple physical and cyber layers interacting dynamically and reproducing complex situations. The authors propose an example of specific case study conceptually developed to apply this approach

Disasters and emergency management in chemical and industrial plants: Drones simulation for education and training

The use of simulation for training is proven to be extremely effective both in term of costs and in term of its flexibility for different uses and applications, such as building situation awareness and creating scenarios for training scopes. The aim of the project proposed is to demonstrate the powerful rule of simulation in UAV pilots\u2019 cooperative training; the project presented makes use of a 3D simulation environment in order to build a realistic condition of an emergency situation in a chemical plant for the first responders. The model proposed makes use of HLA (High Level Architecture) standards in order to be potentially federated with other existing simulators. In the solution proposed, the pilot of the drone must accomplish the mission in a given time piloting a UAV; the scenario is based inside a chemical plant where a disaster is newly occurred. Then ability of the pilot is measured by the system and several constraints are reproduced to provide a realistic training scenario (such as small spaces and barriers to overcome, battery durations, risks of damages due to high temperatures zones, etc.); the system records and tracks all the actions of the pilot and gives a feedback to the user at the end of the simulation time

Common and rare variants in TMEM175 gene concur to the pathogenesis of Parkinson’s Disease in Italian patients

Parkinson’s disease (PD) represents the most common neurodegenerative movement disorder. We recently identified 16 novel genes associated with PD. In this study, we focused the attention on the common and rare variants identified in the lysosomal K+ channel TMEM175. The study includes a detailed clinical and genetic analysis of 400 cases and 300 controls. Molecular studies were performed on patient-derived fibroblasts. The functional properties of the mutant channels were assessed by patch-clamp technique and co-immunoprecipitation. We have found that TMEM175 was highly expressed in dopaminergic neurons of the substantia nigra pars compacta and in microglia of the cerebral cortex of the human brain. Four common variants were associated with PD, including two novel variants rs2290402 (c.-10C > T) and rs80114247 (c.T1022C, p.M341T), located in the Kozak consensus sequence and TM3II domain, respectively. We also disclosed 13 novel highly penetrant detrimental mutations in the TMEM175 gene associated with PD. At least nine of these mutations (p.R35C, p. R183X, p.A270T, p.P308L, p.S348L, p. L405V, p.R414W, p.P427fs, p.R481W) may be sufficient to cause the disease, and the presence of mutations of other genes correlated with an earlier disease onset. In vitro functional analysis of the ion channel encoded by the mutated TMEM175 gene revealed a loss of the K+ conductance and a reduced channel affinity for Akt. Moreover, we observed an impaired autophagic/lysosomal proteolytic flux and an increase expression of unfolded protein response markers in patient-derived fibroblasts. These data suggest that mutations in TMEM175 gene may contribute to the pathophysiology of PD

SIMULATION MODELS AND ARTIFICIAL NEURAL NETWORKS FOR VESSELS BEHAVIOR ANALYSIS

The proposed paper describes Artificial Neural Network (ANN) application developed for the Model of Advanced pLanner for Interoperable Computer Interactive Simulation (MALICIA) project. It deals with stochastic discrete event simulator customization as a tool for supporting decision-making process in Maritime Interdiction operations. The Italian Navy (i.e. MMI - Marina Militare Italiana) is expected to perform such activities. The authors have been requested to focus on behavior identification that could be generalized to support decision-making in multiple scenarios. The software, originally intended for addressing anti-piracy operations, has been converted to address other kinds of maritime interdictions (e.g. illegal immigration) and behavior analysis. This study confirmed the potential of ANN for Maritime Interdiction, especially when intended to face illegal immigration

A Comparative Evaluation of Sustainable Binders for Environmentally Friendly Carbon-Based Supercapacitors

Environmentally friendly energy storage devices have been fabricated by using functional materials obtained from completely renewable resources. Gelatin, chitosan, casein, guar gum and carboxymethyl cellulose have been investigated as sustainable and low-cost binders within the electrode active material of water-processable symmetric carbon-based supercapacitors. Such binders are selected from natural-derived materials and industrial by-products to obtain economic and environmental benefits. The electrochemical properties of the devices based on the different binders are compared by using cyclic voltammetry, galvanostatic charge/discharge curves and impedance spectroscopy. The fabricated supercapacitors exhibit series resistance lower than a few ohms and values of the specific capacitance ranged between 30 F/g and 80 F/g. The most performant device can deliver ca. 3.6 Wh/kg of energy at a high power density of 3925 W/kg. Gelatin, casein and carboxymethyl cellulose-based devices have shown device stability up to 1000 cycles. Detailed analysis on the charge storage mechanisms (e.g., involving faradaic and non-faradaic processes) at the electrode/electrolyte interface reveals a pseudocapacitance behavior within the supercapacitors. A clear correlation between the electrochemical performances (e.g., cycle stability, capacitance retention, series resistance value, coulombic efficiency) ageing phenomena and charge storage mechanisms within the porous carbon-based electrode have been discussed