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Author |
Lanotte, Ruggero; Maggiolo-Schettini, Andrea; Tini, Simone; Troina, Angelo; Tronci, Enrico |
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Title |
Automatic Analysis of the NRL Pump |
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Journal Article |
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2004 |
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Electr. Notes Theor. Comput. Sci. |
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99 |
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245-266 |
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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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yes |
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Call Number |
Sapienza @ mari @ entcs04 |
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36 |
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Author |
Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico |
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Title |
Undecidability of Quantized State Feedback Control for Discrete Time Linear Hybrid Systems |
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Book Chapter |
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Year |
2012 |
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Theoretical Aspects of Computing – ICTAC 2012 |
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243-258 |
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Springer Berlin Heidelberg |
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Roychoudhury, A.; D'Souza, M. |
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Lecture Notes in Computer Science |
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7521 |
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978-3-642-32942-5 |
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yes |
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Sapienza @ mari @ Mari2012 |
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99 |
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Gribaudo, Marco; Horváth, Andras; Bobbio, Andrea; Tronci, Enrico; Ciancamerla, Ester; Minichino, Michele |
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Title |
Fluid Petri Nets and hybrid model checking: a comparative case study |
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Journal Article |
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2003 |
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Int. Journal on: Reliability Engineering & System Safety |
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81 |
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3 |
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239-257 |
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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 ’real world’ hybrid system: the temperature control system of a co-generative plant. |
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Elsevier |
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yes |
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Sapienza @ mari @ ress03 |
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40 |
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Author |
Intrigila, Benedetto; Melatti, Igor; Tofani, Alberto; Macchiarelli, Guido |
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Title |
Computational models of myocardial endomysial collagen arrangement |
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Journal Article |
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Year |
2007 |
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Computer Methods and Programs in Biomedicine |
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86 |
Issue |
3 |
Pages |
232-244 |
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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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Elsevier North-Holland, Inc. |
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New York, NY, USA |
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0169-2607 |
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yes |
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Sapienza @ mari @ Imtm07 |
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82 |
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Author |
Focardi, Riccardo; Gorrieri, Roberto; Lanotte, Ruggero; Maggiolo-Schettini, Andrea; Martinelli, Fabio; Tini, Simone; Tronci, Enrico |
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Title |
Formal Models of Timing Attacks on Web Privacy |
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Journal Article |
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Year |
2002 |
Publication |
Electronic Notes in Theoretical Computer Science |
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62 |
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229-243 |
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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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TOSCA 2001, Theory of Concurrency, Higher Order Languages and Types |
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yes |
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Sapienza @ mari @ entcs02a |
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47 |
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Chen, Q.M.; Finzi, A.; Mancini, T.; Melatti, I.; Tronci, E. |
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Title |
MILP, Pseudo-Boolean, and OMT Solvers for Optimal Fault-Tolerant Placements of Relay Nodes in Mission Critical Wireless Networks |
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Journal Article |
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2020 |
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Fundamenta Informaticae |
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174 |
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229-258 |
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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. |
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IOS Press |
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1875-8681 |
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MCLab @ davi @ |
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188 |
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Author |
Fantechi, Alessandro; Gnesi, Stefania; Mazzanti, Franco; Pugliese, Rosario; Tronci, Enrico |
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Title |
A Symbolic Model Checker for ACTL |
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Conference Article |
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1998 |
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International Workshop on Current Trends in Applied Formal Method (FM-Trends) |
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228-242 |
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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). |
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Springer |
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Boppard, Germany |
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Hutter, D.; Stephan, W.; Traverso, P.; Ullmann, M. |
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Lecture Notes in Computer Science |
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1641 |
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3-540-66462-9 |
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yes |
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Sapienza @ mari @ fm-trends98 |
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51 |
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Author |
Alimguzhin, Vadim; Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico |
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On Model Based Synthesis of Embedded Control Software |
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2012 |
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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 |
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227-236 |
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ACM |
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Ahmed Jerraya and Luca P. Carloni and Florence Maraninchi and John Regehr |
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978-1-4503-1425-1 |
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Techreport version can be found at arxiv.org |
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yes |
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Sapienza @ mari @ emsoft12 |
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97 |
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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. |
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Title |
A Glimpse of SmartHG Project Test-bed and Communication Infrastructure |
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Conference Article |
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2015 |
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Digital System Design (DSD), 2015 Euromicro Conference on |
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225-232 |
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Batteries; Control systems; Databases; Production; Sensors; Servers; Smart grids; Grid State Estimation; Peak Shaving; Policy Robustness Verification; Price Policy Synthesis |
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Sapienza @ preissler @ Alimguzhin_etal2015 |
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127 |
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Author |
Tortora, L.; Meynen, G.; Bijlsma, J.; Tronci, E.; Ferracuti, S. |
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Title |
Neuroprediction and A.I. in Forensic Psychiatry and Criminal Justice: A Neurolaw Perspective |
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2020 |
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Frontiers in Psychology |
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11 |
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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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