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Author Chen, Q.M.; Finzi, A.; Mancini, T.; Melatti, I.; Tronci, E.
Title MILP, Pseudo-Boolean, and OMT Solvers for Optimal Fault-Tolerant Placements of Relay Nodes in Mission Critical Wireless Networks Type Journal Article
Year (down) 2020 Publication Abbreviated Journal Fundamenta Informaticae
Volume 174 Issue Pages 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.
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Publisher IOS Press Place of Publication Editor
Language Summary Language Original Title
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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 Maggioli, F.; Mancini, T.; Tronci, E.
Title SBML2Modelica: Integrating biochemical models within open-standard simulation ecosystems Type Journal Article
Year (down) 2019 Publication Bioinformatics Abbreviated Journal
Volume 36 Issue 7 Pages 2165â2172
Keywords
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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Series Volume Series Issue Edition
ISSN 1367-4803 ISBN Medium
Area Expedition Conference
Notes Approved no
Call Number MCLab @ davi @ ref10.1093/bioinformatics/btz860 Serial 179
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Author Leeners, B.; Krueger, T.H.C.; Geraedts, K.; Tronci, E.; Mancini, T.; Egli, M.; Roeblitz, S.; Saleh, L.; Spanaus, K.; Schippert, C.; Zhang, Y.; Ille, F.
Title Associations Between Natural Physiological and Supraphysiological Estradiol Levels and Stress Perception Type Journal Article
Year (down) 2019 Publication Frontiers in Psychology Abbreviated Journal
Volume 10 Issue Pages 1296
Keywords
Abstract Stress is a risk factor for impaired general, mental and reproductive health. The role of physiological and supraphysiological estradiol concentrations in stress perception and stress processing is less well understood. We therefore, conducted a prospective observational study to investigate the association between estradiol, stress perception and stress-related cognitive performance within serial measurements either during the natural menstrual cycle or during fertility treatment, where estradiol levels are strongly above the physiological level of a natural cycle and consequently, represent a good model to study dose-dependent effects of estradiol. Data from 44 women receiving in vitro fertilization at the Department of Reproductive Endocrinology in Zurich, Switzerland was compared to data from 88 women with measurements during their natural menstrual cycle. The german version of the Perceived Stress Questionnaire (PSQ) and the Cognitive Bias Test (CBT), in which cognitive performance is tested under time stress were used to evaluate subjective and functional aspects of stress. Estradiol levels were investigated at four different time points during the menstrual cycle and at two different time points during a fertility treatment. Cycle phase were associated with PSQ worry and cognitive bias in normally cycling women, but different phases of fertility treatment were not associated with subjectively perceived stress and stress-related cognitive bias. PSQ lack of joy and PSQ demands related to CBT in women receiving fertility treatment but not in women with a normal menstrual cycle. Only strong changes of the estradiol level during fertility treatment were weakly associated with CBT, but not with subjectively experienced stress. Our research emphasises the multidimensional character of stress and the necessity to adjust stress research to the complex nature of stress perception and processing. Infertility is associated with an increased psychological burden in patients. However, not all phases of the process to overcome infertility do significantly increase patient stress levels. Also, research on the psychological burden of infertility should consider that stress may vary during the different phases of fertility treatment.
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ISSN 1664-1078 ISBN Medium
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Notes Approved no
Call Number MCLab @ davi @ ref10.3389/fpsyg.2019.01296 Serial 178
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Author Mancini, T.; Mari, F.; Melatti, I.; Salvo, I.; Tronci, E.
Title An Efficient Algorithm for Network Vulnerability Analysis Under Malicious Attacks Type Conference Article
Year (down) 2018 Publication Foundations of Intelligent Systems – 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29-31, 2018, Proceedings Abbreviated Journal
Volume Issue Pages 302-312
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Notes Best Paper Approved no
Call Number MCLab @ davi @ DBLP:conf/ismis/ManciniMMST18 Serial 176
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Author Driouich, Y.; Parente, M.; Tronci, E.
Title A methodology for a complete simulation of Cyber-Physical Energy Systems Type Conference Article
Year (down) 2018 Publication EESMS 2018 – Environmental, Energy, and Structural Monitoring Systems, Proceedings Abbreviated Journal
Volume Issue Pages 1-5
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Notes Approved no
Call Number MCLab @ davi @ Driouich20181 Serial 169
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Author Mancini, T.; Mari, F.; Melatti, I.; Salvo, I.; Tronci, E.; Gruber, J.; Hayes, B.; Prodanovic, M.; Elmegaard, L.
Title Parallel Statistical Model Checking for Safety Verification in Smart Grids Type Conference Article
Year (down) 2018 Publication 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) Abbreviated Journal
Volume Issue Pages 1-6
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Notes Approved no
Call Number MCLab @ davi @ mancini-etal:2018:smartgridcomm Serial 170
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Author Driouich, Y.; Parente, M.; Tronci, E.
Title Model Checking Cyber-Physical Energy Systems Type Conference Article
Year (down) 2018 Publication Proceedings of 2017 International Renewable and Sustainable Energy Conference, IRSEC 2017 Abbreviated Journal
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Publisher Institute of Electrical and Electronics Engineers Inc. Place of Publication Editor
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Notes Approved no
Call Number MCLab @ davi @ Driouich2018 Serial 177
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Author Mancini, T.; Tronci, E.; Scialanca, A.; Lanciotti, F.; Finzi, A.; Guarneri, R.; Di Pompeo, S.
Title Optimal Fault-Tolerant Placement of Relay Nodes in a Mission Critical Wireless Network Type Conference Article
Year (down) 2018 Publication 25th RCRA International Workshop on “Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion” (RCRA 2018) Abbreviated Journal
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Notes Approved no
Call Number MCLab @ davi @ Serial 174
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Author Mancini, T.; Mari, F.; Massini, A.; Melatti, I.; Salvo, I.; Sinisi, S.; Tronci, E.; Ehrig, R.; Röblitz, S.; Leeners, B.
Title Computing Personalised Treatments through In Silico Clinical Trials. A Case Study on Downregulation in Assisted Reproduction Type Conference Article
Year (down) 2018 Publication 25th RCRA International Workshop on “Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion” (RCRA 2018) Abbreviated Journal
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Notes Approved no
Call Number MCLab @ davi @ Serial 175
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Author Alimguzhin, V.; Mari, F.; Melatti, I.; Salvo, I.; Tronci, E.
Title Linearising Discrete Time Hybrid Systems Type Journal Article
Year (down) 2017 Publication IEEE Transactions on Automatic Control Abbreviated Journal
Volume 62 Issue 10 Pages 5357-5364
Keywords
Abstract Model Based Design approaches for embedded systems aim at generating correct-by-construction control software, guaranteeing that the closed loop system (controller and plant) meets given system level formal specifications. This technical note addresses control synthesis for safety and reachability properties of possibly non-linear discrete time hybrid systems. By means of syntactical transformations that require non-linear terms to be Lipschitz continuous functions, we over-approximate non-linear dynamics with a linear system whose controllers are guaranteed to be controllers of the original system. We evaluate performance of our approach on meaningful control synthesis benchmarks, also comparing it to a state-of-the-art tool.
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ISSN 0018-9286 ISBN Medium
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Notes Approved no
Call Number Sapienza @ mari @ ref7902199 Serial 164
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