| Records |
Author  |
Pugliese, Rosario; Tronci, Enrico |
| Title |
Automatic Verification of a Hydroelectric Power Plant |
Type |
Conference Article |
| Year |
1996 |
Publication |
Third International Symposium of Formal Methods Europe (FME), Co-Sponsored by IFIP WG 14.3 |
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Issue |
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Pages |
425-444 |
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| Abstract |
We analyze the specification of a hydroelectric power plant by ENEL (the Italian Electric Company). Our goal is to show that for the specification of the plant (its control system in particular) some given properties hold. We were provided with an informal specification of the plant. From such informal specification we wrote a formal specification using the CCS/Meije process algebra formalism. We defined properties using μ-calculus. Automatic verification was carried out using model checking. This was done by translating our process algebra definitions (the model) and μ-calculus formulas into BDDs. In this paper we present the informal specification of the plant, its formal specification, some of the properties we verified and experimental results. |
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Springer |
Place of Publication |
Oxford, UK |
Editor |
Gaudel, M.-C.; Woodcock, J. |
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Series Title |
Lecture Notes in Computer Science |
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| Series Volume |
1051 |
Series Issue |
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Edition |
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| ISSN |
3-540-60973-3 |
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Approved |
yes |
| Call Number |
Sapienza @ mari @ fme96 |
Serial |
53 |
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| Author |
Sinisi, S.; Alimguzhin, V.; Mancini, T.; Tronci, E. |
| Title |
Reconciling interoperability with efficient Verification and Validation within open source simulation environments |
Type |
Journal Article |
| Year |
2021 |
Publication |
Simulation Modelling Practice and Theory |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
102277 |
| Keywords |
Simulation, Verification and Validation, Interoperability, FMI/FMU, Model Exchange, Cyber-Physical Systems |
| Abstract |
A Cyber-Physical System (CPS) comprises physical as well as software subsystems. Simulation-based approaches are typically used to support design and Verification and Validation (V&V) of CPSs in several domains such as: aerospace, defence, automotive, smart grid and healthcare. Accordingly, many simulation-based tools are available to support CPS design. This, on one side, enables designers to choose the toolchain that best suits their needs, on the other side poses huge interoperability challenges when one needs to simulate CPSs whose subsystems have been designed and modelled using different toolchains. To overcome such an interoperability problem, in 2010 the Functional Mock-up Interface (FMI) has been proposed as an open standard to support both Model Exchange (ME) and Co-Simulation (CS) of simulation models created with different toolchains. FMI has been adopted by several modelling and simulation environments. Models adhering to such a standard are called Functional Mock-up Units (FMUs). Indeed FMUs play an essential role in defining complex CPSs through, e.g., the System Structure and Parametrization (SSP) standard. Simulation-based V&V of CPSs typically requires exploring different simulation scenarios (i.e., exogenous input sequences to the CPS under design). Many such scenarios have a shared prefix. Accordingly, to avoid simulating many times such shared prefixes, the simulator state at the end of a shared prefix is saved and then restored and used as a start state for the simulation of the next scenario. In this context, an important FMI feature is the capability to save and restore the internal FMU state on demand. This is crucial to increase efficiency of simulation-based V&V. Unfortunately, the implementation of this feature is not mandatory and it is available only within some commercial software. As a result, the interoperability enabled by the FMI standard cannot be fully exploited for V&V when using open-source simulation environments. This motivates developing such a feature for open-source CPS simulation environments. Accordingly, in this paper, we focus on JModelica, an open-source modelling and simulation environment for CPSs based on an open standard modelling language, namely Modelica. We describe how we have endowed JModelica with our open-source implementation of the FMI 2.0 functions needed to save and restore internal states of FMUs for ME. Furthermore, we present experimental results evaluating, through 934 benchmark models, correctness and efficiency of our extended JModelica. Our experimental results show that simulation-based V&V is, on average, 22 times faster with our get/set functionality than without it. |
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1569-190x |
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no |
| Call Number |
MCLab @ davi @ Sinisi2021102277 |
Serial |
186 |
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| Author |
Sinisi, S.; Alimguzhin, V.; Mancini, T.; Tronci, E.; Leeners, B. |
| Title |
Complete populations of virtual patients for in silico clinical trials |
Type |
Journal Article |
| Year |
2021 |
Publication |
Bioinformatics |
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Issue |
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Pages |
1-8 |
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| Abstract |
Model-based approaches to safety and efficacy assessment of pharmacological drugs, treatment strategies, or medical devices (In Silico Clinical Trial, ISCT) aim to decrease time and cost for the needed experimentations, reduce animal and human testing, and enable precision medicine. Unfortunately, in presence of non-identifiable models (e.g., reaction networks), parameter estimation is not enough to generate complete populations of Virtual Patient (VPs), i.e., populations guaranteed to show the entire spectrum of model behaviours (phenotypes), thus ensuring representativeness of the trial.We present methods and software based on global search driven by statistical model checking that, starting from a (non-identifiable) quantitative model of the human physiology (plus drugs PK/PD) and suitable biological and medical knowledge elicited from experts, compute a population of VPs whose behaviours are representative of the whole spectrum of phenotypes entailed by the model (completeness) and pairwise distinguishable according to user-provided criteria. This enables full granularity control on the size of the population to employ in an ISCT, guaranteeing representativeness while avoiding over-representation of behaviours.We proved the effectiveness of our algorithm on a non-identifiable ODE-based model of the female Hypothalamic-Pituitary-Gonadal axis, by generating a population of 4 830 264 VPs stratified into 7 levels (at different granularity of behaviours), and assessed its representativeness against 86 retrospective health records from Pfizer, Hannover Medical School and University Hospital of Lausanne. The datasets are respectively covered by our VPs within Average Normalised Mean Absolute Error of 15%, 20%, and 35% (90% of the latter dataset is covered within 20% error). |
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1367-4803 |
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no |
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MCLab @ davi @ ref10.1093/bioinformatics/btaa1026 |
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182 |
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| Author |
Sinisi, S.; Alimguzhin, V.; Mancini, T.; Tronci, E.; Mari, F.; Leeners, B. |
| Title |
Optimal Personalised Treatment Computation through In Silico Clinical Trials on Patient Digital Twins |
Type |
Journal Article |
| Year |
2020 |
Publication |
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Abbreviated Journal |
Fundamenta Informaticae |
| Volume |
174 |
Issue |
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Pages |
283-310 |
| Keywords |
Artificial Intelligence; Virtual Physiological Human; In Silico Clinical Trials; Simulation; Personalised Medicine; In Silico Treatment Optimisation |
| Abstract |
In Silico Clinical Trials (ISCT), i.e. clinical experimental campaigns carried out by means of computer simulations, hold the promise to decrease time and cost for the safety and efficacy assessment of pharmacological treatments, reduce the need for animal and human testing, and enable precision medicine. In this paper we present methods and an algorithm that, by means of extensive computer simulation-based experimental campaigns (ISCT) guided by intelligent search, optimise a pharmacological treatment for an individual patient (precision medicine ). We show the effectiveness of our approach on a case study involving a real pharmacological treatment, namely the downregulation phase of a complex clinical protocol for assisted reproduction in humans. |
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IOS Press |
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1875-8681 |
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no |
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MCLab @ davi @ |
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187 |
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| Author |
Toni Mancini; Enrico Tronci; Ivano Salvo; Federico Mari; Annalisa Massini; Igor Melatti |
| Title |
Computing Biological Model Parameters by Parallel Statistical Model Checking |
Type |
Journal Article |
| Year |
2015 |
Publication |
International Work Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2015) |
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9044 |
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Pages |
542-554 |
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no |
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MCLab @ davi @ |
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124 |
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| Author |
Tortora, L.; Meynen, G.; Bijlsma, J.; Tronci, E.; Ferracuti, S. |
| Title |
Neuroprediction and A.I. in Forensic Psychiatry and Criminal Justice: A Neurolaw Perspective |
Type |
Journal Article |
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2020 |
Publication |
Frontiers in Psychology |
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11 |
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Pages |
220 |
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Advances in the use of neuroimaging in combination with A.I., and specifically the use of machine learning techniques, have led to the development of brain-reading technologies which, in the nearby future, could have many applications, such as lie detection, neuromarketing or brain-computer interfaces. Some of these could, in principle, also be used in forensic psychiatry. The application of these methods in forensic psychiatry could, for instance, be helpful to increase the accuracy of risk assessment and to identify possible interventions. This technique could be referred to as ‘A.I. neuroprediction,’ and involves identifying potential neurocognitive markers for the prediction of recidivism. However, the future implications of this technique and the role of neuroscience and A.I. in violence risk assessment remain to be established. In this paper, we review and analyze the literature concerning the use of brain-reading A.I. for neuroprediction of violence and rearrest to identify possibilities and challenges in the future use of these techniques in the fields of forensic psychiatry and criminal justice, considering legal implications and ethical issues. The analysis suggests that additional research is required on A.I. neuroprediction techniques, and there is still a great need to understand how they can be implemented in risk assessment in the field of forensic psychiatry. Besides the alluring potential of A.I. neuroprediction, we argue that its use in criminal justice and forensic psychiatry should be subjected to thorough harms/benefits analyses not only when these technologies will be fully available, but also while they are being researched and developed. |
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1664-1078 |
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MCLab @ davi @ Neuroprediction-2020 |
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180 |
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Tronci, E.; Mancini, T.; Mari, F.; Melatti, I.; Jacobsen, R. H.; Ebeid, E.; Mikkelsen, S. A.; Prodanovic, M.; Gruber, J. K.; Hayes, B. |
| Title |
SmartHG: Energy Demand Aware Open Services for Smart Grid Intelligent Automation |
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Conference Article |
| Year |
2014 |
Publication |
Proceedings of the Work in Progress Session of SEAA/DSD 2014 |
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978-3-902457-40-0 |
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no |
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Sapienza @ mari @ |
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119 |
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Tronci, E.; Mancini, T.; Mari, F.; Melatti, I.; Salvo, I.; Prodanovic, M.; Gruber, J. K.; Hayes, B.; Elmegaard, L. |
| Title |
Demand-Aware Price Policy Synthesis and Verification Services for Smart Grids |
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Conference Article |
| Year |
2014 |
Publication |
Proceedings of Smart Grid Communications (SmartGridComm), 2014 IEEE International Conference On |
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no |
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Sapienza @ melatti @ |
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121 |
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Tronci, E.; Mancini, T.; Salvo, I.; Mari, F.; Melatti, I.; Massini, A.; Sinisi, S.; Davì, F.; Dierkes, T.; Ehrig, R.; Röblitz, S.; Leeners, B.; Krüger, T.; Egli, M.; Ille, F. |
| Title |
Patient-Specific Models from Inter-Patient Biological Models and Clinical Records |
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Conference Article |
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2014 |
Publication |
Formal Methods in Computer-Aided Design (FMCAD) |
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no |
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Sapienza @ mari @ |
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120 |
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| Author |
Tronci, Enrico |
| Title |
Introductory Paper |
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Journal Article |
| Year |
2006 |
Publication |
Sttt |
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| Volume |
8 |
Issue |
4-5 |
Pages |
355-358 |
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| Abstract |
In today’s competitive market designing of digital systems (hardware as well as software) faces tremendous challenges. In fact, notwithstanding an ever decreasing project budget, time to market and product lifetime, designers are faced with an ever increasing system complexity and customer expected quality. The above situation calls for better and better formal verification techniques at all steps of the design flow. This special issue is devoted to publishing revised versions of contributions first presented at the 12th Advanced Research Working Conference on Correct Hardware Design and Verification Methods (CHARME) held 21–24 October 2003 in L’Aquila, Italy. Authors of well regarded papers from CHARME’03 were invited to submit to this special issue. All papers included here have been suitably extended and have undergone an independent round of reviewing. |
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yes |
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Sapienza @ mari @ sttt06 |
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30 |
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