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Author Pappagallo, A.; Massini, A.; Tronci, E. pdf  doi
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  Title Monte Carlo Based Statistical Model Checking of Cyber-Physical Systems: A Review Type Journal Article
  Year 2020 Publication Information Abbreviated Journal  
  Volume 11 Issue (up) 558 Pages  
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  Call Number MCLab @ davi @ Serial 181  
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Author Maggioli, F.; Mancini, T.; Tronci, E. pdf  url
doi  openurl
  Title SBML2Modelica: Integrating biochemical models within open-standard simulation ecosystems Type Journal Article
  Year 2019 Publication Bioinformatics Abbreviated Journal  
  Volume 36 Issue (up) 7 Pages 2165–2172  
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  Abstract SBML is the most widespread language for the definition of biochemical models. Although dozens of SBML simulators are available, there is a general lack of support to the integration of SBML models within open-standard general-purpose simulation ecosystems. This hinders co-simulation and integration of SBML models within larger model networks, in order to, e.g., enable in-silico clinical trials of drugs, pharmacological protocols, or engineering artefacts such as biomedical devices against Virtual Physiological Human models.Modelica is one of the most popular existing open-standard general-purpose simulation languages, supported by many simulators. Modelica models are especially suited for the definition of complex networks of heterogeneous models from virtually all application domains. Models written in Modelica (and in 100+ other languages) can be readily exported into black-box Functional Mock-Up Units (FMUs), and seamlessly co-simulated and integrated into larger model networks within open-standard language-independent simulation ecosystems.In order to enable SBML model integration within heterogeneous model networks, we present SBML2Modelica, a software system translating SBML models into well-structured, user-intelligible, easily modifiable Modelica models. SBML2Modelica is SBML Level 3 Version 2 -compliant and succeeds on 96.47% of the SBML Test Suite Core (with a few rare, intricate, and easily avoidable combinations of constructs unsupported and cleanly signalled to the user). Our experimental campaign on 613 models from the BioModels database (with up to 5438 variables) shows that the major open-source (general-purpose) Modelica and FMU simulators achieve performance comparable to state-of-the-art specialised SBML simulators.SBML2Modelica is written in Java and is freely available for non-commercial use at https://bitbucket.org/mclab/sbml2modelica  
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  Call Number MCLab @ davi @ ref10.1093/bioinformatics/btz860 Serial 179  
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Author Mari, Federico; Melatti, Igor; Tronci, Enrico; Finzi, Alberto pdf  url
doi  openurl
  Title A multi-hop advertising discovery and delivering protocol for multi administrative domain MANET Type Journal Article
  Year 2013 Publication Mobile Information Systems Abbreviated Journal Mobile Information Systems  
  Volume 3 Issue (up) 9 Pages 261-280  
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  Publisher IOS Press Place of Publication Editor  
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  ISSN 1574-017x (Print) 1875-905X (Online) ISBN Medium  
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  Notes Approved no  
  Call Number Sapienza @ melatti @ Serial 109  
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