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Author Lanotte, Ruggero; Maggiolo-Schettini, Andrea; Tini, Simone; Troina, Angelo; Tronci, Enrico pdf  doi
openurl 
  Title Automatic Analysis of the NRL Pump Type Journal Article
  Year 2004 Publication Electr. Notes Theor. Comput. Sci. Abbreviated Journal  
  Volume 99 Issue Pages (down) 245-266  
  Keywords  
  Abstract We define a probabilistic model for the NRL Pump and using FHP-mur$\varphi$ show experimentally that there exists a probabilistic covert channel whose capacity depends on various NRL Pump parameters (e.g. buffer size, number of samples in the moving average, etc).  
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  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved yes  
  Call Number Sapienza @ mari @ entcs04 Serial 36  
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Author Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico pdf  doi
isbn  openurl
  Title Undecidability of Quantized State Feedback Control for Discrete Time Linear Hybrid Systems Type Book Chapter
  Year 2012 Publication Theoretical Aspects of Computing – ICTAC 2012 Abbreviated Journal  
  Volume Issue Pages (down) 243-258  
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  Abstract  
  Address  
  Corporate Author Thesis  
  Publisher Springer Berlin Heidelberg Place of Publication Editor Roychoudhury, A.; D'Souza, M.  
  Language Summary Language Original Title  
  Series Editor Series Title Lecture Notes in Computer Science Abbreviated Series Title  
  Series Volume 7521 Series Issue Edition  
  ISSN ISBN 978-3-642-32942-5 Medium  
  Area Expedition Conference  
  Notes Approved yes  
  Call Number Sapienza @ mari @ Mari2012 Serial 99  
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Author Gribaudo, Marco; Horváth, Andras; Bobbio, Andrea; Tronci, Enrico; Ciancamerla, Ester; Minichino, Michele pdf  doi
openurl 
  Title Fluid Petri Nets and hybrid model checking: a comparative case study Type Journal Article
  Year 2003 Publication Int. Journal on: Reliability Engineering & System Safety Abbreviated Journal  
  Volume 81 Issue 3 Pages (down) 239-257  
  Keywords  
  Abstract The modeling and analysis of hybrid systems is a recent and challenging research area which is actually dominated by two main lines: a functional analysis based on the description of the system in terms of discrete state (hybrid) automata (whose goal is to ascertain conformity and reachability properties), and a stochastic analysis (whose aim is to provide performance and dependability measures). This paper investigates a unifying view between formal methods and stochastic methods by proposing an analysis methodology of hybrid systems based on Fluid Petri Nets (FPNs). FPNs can be analyzed directly using appropriate tools. Our paper shows that the same FPN model can be fed to different functional analyzers for model checking. In order to extensively explore the capability of the technique, we have converted the original FPN into languages for discrete as well as hybrid as well as stochastic model checkers. In this way, a first comparison among the modeling power of well known tools can be carried out. Our approach is illustrated by means of a ââ¬â¢real worldââ¬â¢ hybrid system: the temperature control system of a co-generative plant.  
  Address  
  Corporate Author Thesis  
  Publisher Elsevier Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes Approved yes  
  Call Number Sapienza @ mari @ ress03 Serial 40  
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Author Intrigila, Benedetto; Melatti, Igor; Tofani, Alberto; Macchiarelli, Guido pdf  doi
openurl 
  Title Computational models of myocardial endomysial collagen arrangement Type Journal Article
  Year 2007 Publication Computer Methods and Programs in Biomedicine Abbreviated Journal  
  Volume 86 Issue 3 Pages (down) 232-244  
  Keywords  
  Abstract Collagen extracellular matrix is one of the factors related to high passive stiffness of cardiac muscle. However, the architecture and the mechanical aspects of the cardiac collagen matrix are not completely known. In particular, endomysial collagen contribution to the passive mechanics of cardiac muscle as well as its micro anatomical arrangement is still a matter of debate. In order to investigate mechanical and structural properties of endomysial collagen, we consider two alternative computational models of some specific aspects of the cardiac muscle. These two models represent two different views of endomysial collagen distribution: (1) the traditional view and (2) a new view suggested by the data obtained from scanning electron microscopy (SEM) in NaOH macerated samples (a method for isolating collagen from the other tissue). We model the myocardial tissue as a net of spring elements representing the cardiomyocytes together with the endomysial collagen distribution. Each element is a viscous elastic spring, characterized by an elastic and a viscous constant. We connect these springs to imitate the interconnections between collagen fibers. Then we apply to the net of springs some external forces of suitable magnitude and direction, obtaining an extension of the net itself. In our setting, the ratio forces magnitude /net extension is intended to model the stress /strain ratio of a microscopical portion of the myocardial tissue. To solve the problem of the correct identification of the values of the different parameters involved, we use an artificial neural network approach. In particular, we use this technique to learn, given a distribution of external forces, the elastic constants of the springs needed to obtain a desired extension as an equilibrium position. Our experimental findings show that, in the model of collagen distribution structured according to the new view, a given stress /strain ratio (of the net of springs, in the sense specified above) is obtained with much smaller (w.r.t. the other model, corresponding to the traditional view) elasticity constants of the springs. This seems to indicate that by an appropriate structure, a given stiffness of the myocardial tissue can be obtained with endomysial collagen fibers of much smaller size.  
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  Corporate Author Thesis  
  Publisher Elsevier North-Holland, Inc. Place of Publication New York, NY, USA Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 0169-2607 ISBN Medium  
  Area Expedition Conference  
  Notes Approved yes  
  Call Number Sapienza @ mari @ Imtm07 Serial 82  
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Author Focardi, Riccardo; Gorrieri, Roberto; Lanotte, Ruggero; Maggiolo-Schettini, Andrea; Martinelli, Fabio; Tini, Simone; Tronci, Enrico pdf  doi
openurl 
  Title Formal Models of Timing Attacks on Web Privacy Type Journal Article
  Year 2002 Publication Electronic Notes in Theoretical Computer Science Abbreviated Journal  
  Volume 62 Issue Pages (down) 229-243  
  Keywords  
  Abstract We model a timing attack on web privacy proposed by Felten and Schneider by using three different approaches: HL-Timed Automata, SMV model checker, and tSPA Process Algebra. Some comparative analysis on the three approaches is derived.  
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  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes TOSCA 2001, Theory of Concurrency, Higher Order Languages and Types Approved yes  
  Call Number Sapienza @ mari @ entcs02a Serial 47  
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Author Chen, Q.M.; Finzi, A.; Mancini, T.; Melatti, I.; Tronci, E. pdf  doi
openurl 
  Title MILP, Pseudo-Boolean, and OMT Solvers for Optimal Fault-Tolerant Placements of Relay Nodes in Mission Critical Wireless Networks Type Journal Article
  Year 2020 Publication Abbreviated Journal Fundamenta Informaticae  
  Volume 174 Issue Pages (down) 229-258  
  Keywords  
  Abstract In critical infrastructures like airports, much care has to be devoted in protecting radio communication networks from external electromagnetic interference. Protection of such mission-critical radio communication networks is usually tackled by exploiting radiogoniometers: at least three suitably deployed radiogoniometers, and a gateway gathering information from them, permit to monitor and localise sources of electromagnetic emissions that are not supposed to be present in the monitored area. Typically, radiogoniometers are connected to the gateway through relay nodes . As a result, some degree of fault-tolerance for the network of relay nodes is essential in order to offer a reliable monitoring. On the other hand, deployment of relay nodes is typically quite expensive. As a result, we have two conflicting requirements: minimise costs while guaranteeing a given fault-tolerance. In this paper, we address the problem of computing a deployment for relay nodes that minimises the overall cost while at the same time guaranteeing proper working of the network even when some of the relay nodes (up to a given maximum number) become faulty (fault-tolerance ). We show that, by means of a computation-intensive pre-processing on a HPC infrastructure, the above optimisation problem can be encoded as a 0/1 Linear Program, becoming suitable to be approached with standard Artificial Intelligence reasoners like MILP, PB-SAT, and SMT/OMT solvers. Our problem formulation enables us to present experimental results comparing the performance of these three solving technologies on a real case study of a relay node network deployment in areas of the Leonardo da Vinci Airport in Rome, Italy.  
  Address  
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  Publisher IOS Press Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1875-8681 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number MCLab @ davi @ Serial 188  
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Author Fantechi, Alessandro; Gnesi, Stefania; Mazzanti, Franco; Pugliese, Rosario; Tronci, Enrico pdf  doi
openurl 
  Title A Symbolic Model Checker for ACTL Type Conference Article
  Year 1998 Publication International Workshop on Current Trends in Applied Formal Method (FM-Trends) Abbreviated Journal  
  Volume Issue Pages (down) 228-242  
  Keywords  
  Abstract We present SAM, a symbolic model checker for ACTL, the action-based version of CTL. SAM relies on implicit representations of Labeled Transition Systems (LTSs), the semantic domain for ACTL formulae, and uses symbolic manipulation algorithms. SAM has been realized by translating (networks of) LTSs and, possibly recursive, ACTL formulae into BSP (Boolean Symbolic Programming), a programming language aiming at defining computations on boolean functions, and by using the BSP interpreter to carry out computations (i.e. verifications).  
  Address  
  Corporate Author Thesis  
  Publisher Springer Place of Publication Boppard, Germany Editor Hutter, D.; Stephan, W.; Traverso, P.; Ullmann, M.  
  Language Summary Language Original Title  
  Series Editor Series Title Lecture Notes in Computer Science Abbreviated Series Title  
  Series Volume 1641 Series Issue Edition  
  ISSN 3-540-66462-9 ISBN Medium  
  Area Expedition Conference  
  Notes Approved yes  
  Call Number Sapienza @ mari @ fm-trends98 Serial 51  
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Author Alimguzhin, Vadim; Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico pdf  doi
isbn  openurl
  Title On Model Based Synthesis of Embedded Control Software Type Conference Article
  Year 2012 Publication Proceedings of the 12th International Conference on Embedded Software, EMSOFT 2012, part of the Eighth Embedded Systems Week, ESWeek 2012, Tampere, Finland, October 7-12, 2012 Abbreviated Journal  
  Volume Issue Pages (down) 227-236  
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  Publisher ACM Place of Publication Editor Ahmed Jerraya and Luca P. Carloni and Florence Maraninchi and John Regehr  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN 978-1-4503-1425-1 Medium  
  Area Expedition Conference  
  Notes Techreport version can be found at arxiv.org Approved yes  
  Call Number Sapienza @ mari @ emsoft12 Serial 97  
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Author Alimguzhin, V.; Mari, F.; Melatti, I.; Tronci, E.; Ebeid, E.; Mikkelsen, S.A.; Jacobsen, R.H.; Gruber, J.K.; Hayes, B.; Huerta, F.; Prodanovic, M. pdf  doi
openurl 
  Title A Glimpse of SmartHG Project Test-bed and Communication Infrastructure Type Conference Article
  Year 2015 Publication Digital System Design (DSD), 2015 Euromicro Conference on Abbreviated Journal  
  Volume Issue Pages (down) 225-232  
  Keywords Batteries; Control systems; Databases; Production; Sensors; Servers; Smart grids; Grid State Estimation; Peak Shaving; Policy Robustness Verification; Price Policy Synthesis  
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  Notes Approved no  
  Call Number Sapienza @ preissler @ Alimguzhin_etal2015 Serial 127  
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Author Tortora, L.; Meynen, G.; Bijlsma, J.; Tronci, E.; Ferracuti, S. pdf  url
doi  openurl
  Title Neuroprediction and A.I. in Forensic Psychiatry and Criminal Justice: A Neurolaw Perspective Type Journal Article
  Year 2020 Publication Frontiers in Psychology Abbreviated Journal  
  Volume 11 Issue Pages (down) 220  
  Keywords  
  Abstract 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 ÃâA.I. neuroprediction,Ãâ 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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  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 1664-1078 ISBN Medium  
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  Notes Approved no  
  Call Number MCLab @ davi @ Neuroprediction-2020 Serial 180  
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