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	Author	Fischer, S.; Ehrig, R.; Schaefer, S.; Tronci, E.; Mancini, T.; Egli, M.; Ille, F.; Krueger, T.H.C.; Leeners, B.; Roeblitz, S.
	Title	Mathematical Modeling and Simulation Provides Evidence for New Strategies of Ovarian Stimulation			Type	Journal Article
	Year	2021	Publication	Frontiers in Endocrinology	Abbreviated Journal
	Volume	12	Issue		Pages	117
	Keywords
	Abstract	New approaches to ovarian stimulation protocols, such as luteal start, random start or double stimulation, allow for flexibility in ovarian stimulation at different phases of the menstrual cycle. It has been proposed that the success of these methods is based on the continuous growth of multiple cohorts (“waves”) of follicles throughout the menstrual cycle which leads to the availability of ovarian follicles for ovarian controlled stimulation at several time points. Though several preliminary studies have been published, their scientific evidence has not been considered as being strong enough to integrate these results into routine clinical practice. This work aims at adding further scientific evidence about the efficiency of variable-start protocols and underpinning the theory of follicular waves by using mathematical modeling and numerical simulations. For this purpose, we have modified and coupled two previously published models, one describing the time course of hormones and one describing competitive follicular growth in a normal menstrual cycle. The coupled model is used to test ovarian stimulation protocols in silico. Simulation results show the occurrence of follicles in a wave-like manner during a normal menstrual cycle and qualitatively predict the outcome of ovarian stimulation initiated at different time points of the menstrual cycle.
	Address
	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	1664-2392	ISBN		Medium
	Area		Expedition		Conference
	Notes				Approved	no
	Call Number	MCLab @ davi @ ref10.3389/fendo.2021.613048			Serial	189
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	Author	Melatti, I.; Mari, F.; Mancini, T.; Prodanovic, M.; Tronci, E.
	Title	A Two-Layer Near-Optimal Strategy for Substation Constraint Management via Home Batteries			Type	Journal Article
	Year	2021	Publication	IEEE Transactions on Industrial Electronics	Abbreviated Journal
	Volume		Issue		Pages	1-1
	Keywords
	Abstract	Within electrical distribution networks, substation constraints management requires that aggregated power demand from residential users is kept within suitable bounds. Efficiency of substation constraints management can be measured as the reduction of constraints violations w.r.t. unmanaged demand. Home batteries hold the promise of enabling efficient and user-oblivious substation constraints management. Centralized control of home batteries would achieve optimal efficiency. However, it is hardly acceptable by users, since service providers (e.g., utilities or aggregators) would directly control batteries at user premises. Unfortunately, devising efficient hierarchical control strategies, thus overcoming the above problem, is far from easy. We present a novel two-layer control strategy for home batteries that avoids direct control of home devices by the service provider and at the same time yields near-optimal substation constraints management efficiency. Our simulation results on field data from 62 households in Denmark show that the substation constraints management efficiency achieved with our approach is at least 82% of the one obtained with a theoretical optimal centralized strategy.
	Address
	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	To appear			Approved	no
	Call Number	MCLab @ davi @ ref9513535			Serial	190
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	Author	Mancini, T.; Melatti, I.; Tronci, E.
	Title	Any-horizon uniform random sampling and enumeration of constrained scenarios for simulation-based formal verification			Type	Journal Article
	Year	2021	Publication	IEEE Transactions on Software Engineering	Abbreviated Journal
	Volume		Issue		Pages	1-1
	Keywords
	Abstract	Model-based approaches to the verification of non-terminating Cyber-Physical Systems (CPSs) usually rely on numerical simulation of the System Under Verification (SUV) model under input scenarios of possibly varying duration, chosen among those satisfying given constraints. Such constraints typically stem from requirements (or assumptions) on the SUV inputs and its operational environment as well as from the enforcement of additional conditions aiming at, e.g., prioritising the (often extremely long) verification activity, by, e.g., focusing on scenarios explicitly exercising selected requirements, or avoiding </i>vacuity</i> in their satisfaction. In this setting, the possibility to efficiently sample at random (with a known distribution, e.g., uniformly) within, or to efficiently enumerate (possibly in a uniformly random order) scenarios among those satisfying all the given constraints is a key enabler for the practical viability of the verification process, e.g., via simulation-based statistical model checking. Unfortunately, in case of non-trivial combinations of constraints, iterative approaches like Markovian random walks in the space of sequences of inputs in general fail in extracting scenarios according to a given distribution (e.g., uniformly), and can be very inefficient to produce at all scenarios that are both legal (with respect to SUV assumptions) and of interest (with respect to the additional constraints). For example, in our case studies, up to 91% of the scenarios generated using such iterative approaches would need to be neglected. In this article, we show how, given a set of constraints on the input scenarios succinctly defined by multiple finite memory monitors, a data structure (scenario generator) can be synthesised, from which any-horizon scenarios satisfying the input constraints can be efficiently extracted by (possibly uniform) random sampling or (randomised) enumeration. Our approach enables seamless support to virtually all simulation-based approaches to CPS verification, ranging from simple random testing to statistical model checking and formal (i.e., exhaustive) verification, when a suitable bound on the horizon or an iterative horizon enlargement strategy is defined, as in the spirit of bounded model checking.
	Address
	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	1939-3520	ISBN		Medium
	Area		Expedition		Conference
	Notes	To appear			Approved	no
	Call Number	MCLab @ davi @ ref9527998			Serial	191
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	Author	Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico
	Title	Synthesis of Quantized Feedback Control Software for Discrete Time Linear Hybrid Systems			Type	Conference Article
	Year	2010	Publication	Computer Aided Verification	Abbreviated Journal
	Volume		Issue		Pages	180-195
	Keywords
	Abstract	We present an algorithm that given a Discrete Time Linear Hybrid System returns a correct-by-construction software implementation K for a (near time optimal) robust quantized feedback controller for along with the set of states on which K is guaranteed to work correctly (controllable region). Furthermore, K has a Worst Case Execution Time linear in the number of bits of the quantization schema.
	Address
	Corporate Author				Thesis
	Publisher	Springer Berlin / Heidelberg	Place of Publication		Editor	Touili, T.; Cook, B.; Jackson, P.
	Language		Summary Language		Original Title
	Series Editor		Series Title	Lecture Notes in Computer Science	Abbreviated Series Title
	Series Volume	6174	Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes				Approved	yes
	Call Number	Sapienza @ mari @ cav2010			Serial	16
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	Author	Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico; Alvisi, Lorenzo; Clement, Allen; Li, Harry
	Title	Model Checking Coalition Nash Equilibria in MAD Distributed Systems			Type	Conference Article
	Year	2009	Publication	Stabilization, Safety, and Security of Distributed Systems, 11th International Symposium, SSS 2009, Lyon, France, November 3-6, 2009. Proceedings	Abbreviated Journal
	Volume		Issue		Pages	531-546
	Keywords
	Abstract	We present two OBDD based model checking algorithms for the verification of Nash equilibria in finite state mechanisms modeling Multiple Administrative Domains (MAD) distributed systems with possibly colluding agents (coalitions) and with possibly faulty or malicious nodes (Byzantine agents). Given a finite state mechanism, a proposed protocol for each agent and the maximum sizes f for Byzantine agents and q for agents collusions, our model checkers return Pass if the proposed protocol is an ε-f-q-Nash equilibrium, i.e. no coalition of size up to q may have an interest greater than ε in deviating from the proposed protocol when up to f Byzantine agents are present, Fail otherwise. We implemented our model checking algorithms within the NuSMV model checker: the first one explicitly checks equilibria for each coalition, while the second represents symbolically all coalitions. We present experimental results showing their effectiveness for moderate size mechanisms. For example, we can verify coalition Nash equilibria for mechanisms which corresponding normal form games would have more than $5 \times 10^21$ entries. Moreover, we compare the two approaches, and the explicit algorithm turns out to outperform the symbolic one. To the best of our knowledge, no model checking algorithm for verification of Nash equilibria of mechanisms with coalitions has been previously published.
	Address
	Corporate Author				Thesis
	Publisher	Springer	Place of Publication		Editor	Guerraoui, R.; Petit, F.
	Language		Summary Language		Original Title
	Series Editor		Series Title	Lecture Notes in Computer Science	Abbreviated Series Title
	Series Volume	5873	Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes				Approved	yes
	Call Number	Sapienza @ mari @ sss09			Serial	19
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	Author	Cesta, Amedeo; Finzi, Alberto; Fratini, Simone; Orlandini, Andrea; Tronci, Enrico
	Title	Flexible Timeline-Based Plan Verification			Type	Conference Article
	Year	2009	Publication	KI 2009: Advances in Artificial Intelligence, 32nd Annual German Conference on AI, Paderborn, Germany, September 15-18, 2009. Proceedings	Abbreviated Journal
	Volume		Issue		Pages	49-56
	Keywords
	Abstract
	Address
	Corporate Author				Thesis
	Publisher	Springer	Place of Publication		Editor	Mertsching, BÃ¤rbel; Hund, M.; Aziz, M.Z.
	Language		Summary Language		Original Title
	Series Editor		Series Title	Lecture Notes in Computer Science	Abbreviated Series Title
	Series Volume	5803	Series Issue		Edition
	ISSN	978-3-642-04616-2	ISBN		Medium
	Area		Expedition		Conference
	Notes				Approved	yes
	Call Number	Sapienza @ mari @ Cffot09			Serial	21
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	Author	Campagnano, Edoardo; Ciancamerla, Ester; Minichino, Michele; Tronci, Enrico
	Title	Automatic Analysis of a Safety Critical Tele Control System			Type	Conference Article
	Year	2005	Publication	24th International Conference on: Computer Safety, Reliability, and Security (SAFECOMP)	Abbreviated Journal
	Volume		Issue		Pages	94-107
	Keywords
	Abstract	We show how the Mur$\varphi$ model checker can be used to automatically carry out safety analysis of a quite complex hybrid system tele-controlling vehicles traffic inside a safety critical transport infrastructure such as a long bridge or a tunnel. We present the Mur$\varphi$ model we developed towards this end as well as the experimental results we obtained by running the Mur$\varphi$ verifier on our model. Our experimental results show that the approach presented here can be used to verify safety of critical dimensioning parameters (e.g. bandwidth) of the telecommunication network embedded in a safety critical system.
	Address
	Corporate Author				Thesis
	Publisher	Springer	Place of Publication	Fredrikstad, Norway	Editor	Winther, R.; Gran, B. A.; Dahll, G.
	Language		Summary Language		Original Title
	Series Editor		Series Title	Lecture Notes in Computer Science	Abbreviated Series Title
	Series Volume	3688	Series Issue		Edition
	ISSN	3-540-29200-4	ISBN		Medium
	Area		Expedition		Conference
	Notes				Approved	yes
	Call Number	Sapienza @ mari @ safecomp05			Serial	32
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	Author	Lanotte, Ruggero; Maggiolo-Schettini, Andrea; Tini, Simone; Troina, Angelo; Tronci, Enrico
	Title	Automatic Covert Channel Analysis of a Multilevel Secure Component			Type	Conference Article
	Year	2004	Publication	Information and Communications Security, 6th International Conference, ICICS 2004, Malaga, Spain, October 27-29, 2004, Proceedings	Abbreviated Journal
	Volume		Issue		Pages	249-261
	Keywords
	Abstract	The NRL Pump protocol defines a multilevel secure component whose goal is to minimize leaks of information from high level systems to lower level systems, without degrading average time performances. We define a probabilistic model for the NRL Pump and show how a probabilistic model checker (FHP-mur$\varphi$) can be used to estimate the capacity of a probabilistic covert channel in the NRL Pump. We are able to compute the probability of a security violation as a function of time for various configurations of the system parameters (e.g. buffer sizes, moving average size, etc). Because of the model complexity, our results cannot be obtained using an analytical approach and, because of the low probabilities involved, it can be hard to obtain them using a simulator.
	Address
	Corporate Author				Thesis
	Publisher	Springer	Place of Publication		Editor	Lopez, J.; Qing, S.; Okamoto, E.
	Language		Summary Language		Original Title
	Series Editor		Series Title	Lecture Notes in Computer Science	Abbreviated Series Title
	Series Volume	3269	Series Issue		Edition
	ISSN		ISBN		Medium
	Area		Expedition		Conference
	Notes				Approved	yes
	Call Number	Sapienza @ mari @ icics04			Serial	34
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	Author	Martinelli, Marco; Tronci, Enrico; Dipoppa, Giovanni; Balducelli, Claudio
	Title	Electric Power System Anomaly Detection Using Neural Networks			Type	Conference Article
	Year	2004	Publication	8th International Conference on: Knowledge-Based Intelligent Information and Engineering Systems (KES)	Abbreviated Journal
	Volume		Issue		Pages	1242-1248
	Keywords
	Abstract	The aim of this work is to propose an approach to monitor and protect Electric Power System by learning normal system behaviour at substations level, and raising an alarm signal when an abnormal status is detected; the problem is addressed by the use of autoassociative neural networks, reading substation measures. Experimental results show that, through the proposed approach, neural networks can be used to learn parameters underlaying system behaviour, and their output processed to detecting anomalies due to hijacking of measures, changes in the power network topology (i.e. transmission lines breaking) and unexpected power demand trend.
	Address
	Corporate Author				Thesis
	Publisher	Springer	Place of Publication	Wellington, New Zealand	Editor	Negoita, M.G.; Howlett, R.J.; Jain, L.C.
	Language		Summary Language		Original Title
	Series Editor		Series Title	Lecture Notes in Computer Science	Abbreviated Series Title
	Series Volume	3213	Series Issue		Edition
	ISSN	3-540-23318-0	ISBN		Medium
	Area		Expedition		Conference
	Notes				Approved	yes
	Call Number	Sapienza @ mari @ kes04			Serial	35
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	Author	Ciancamerla, Ester; Minichino, Michele; Serro, Stefano; Tronci, Enrico
	Title	Automatic Timeliness Verification of a Public Mobile Network			Type	Conference Article
	Year	2003	Publication	22nd International Conference on Computer Safety, Reliability, and Security (SAFECOMP)	Abbreviated Journal
	Volume		Issue		Pages	35-48
	Keywords
	Abstract	This paper deals with the automatic verification of the timeliness of Public Mobile Network (PMN), consisting of Mobile Nodes (MNs) and Base Stations (BSs). We use the Mur$\varphi$ Model Checker to verify that the waiting access time of each MN, under different PMN configurations and loads, and different inter arrival times of MNs in a BS cell, is always below a preassigned threshold. Our experimental results show that Model Checking can be successfully used to generate worst case scenarios and nicely complements probabilistic methods and simulation which are typically used for performance evaluation.
	Address
	Corporate Author				Thesis
	Publisher	Springer	Place of Publication	Edinburgh, UK	Editor	Anderson, S.; Felici, M.; Littlewood, B.
	Language		Summary Language		Original Title
	Series Editor		Series Title	Lecture Notes in Computer Science	Abbreviated Series Title
	Series Volume	2788	Series Issue		Edition
	ISSN	978-3-540-20126-7	ISBN		Medium
	Area		Expedition		Conference
	Notes				Approved	yes
	Call Number	Sapienza @ mari @ safecomp03			Serial	38
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