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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 | 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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| Call Number | MCLab @ davi @ | Serial | 175 | ||
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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 | 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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| Call Number | MCLab @ davi @ | Serial | 174 | ||
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| Author | Driouich, Y.; Parente, M.; Tronci, E. | ||||
| Title | Model Checking Cyber-Physical Energy Systems | Type | Conference Article | ||
| Year | 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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Approved | no | |||
| Call Number | MCLab @ davi @ Driouich2018 | Serial | 177 | ||
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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 | 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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| Call Number | MCLab @ davi @ mancini-etal:2018:smartgridcomm | Serial | 170 | ||
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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 | 2018 | Publication | EESMS 2018 – Environmental, Energy, and Structural Monitoring Systems, Proceedings | Abbreviated Journal | |
| Volume | Issue | Pages | 1-5 | ||
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| Call Number | MCLab @ davi @ Driouich20181 | Serial | 169 | ||
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| Author | Driouich, Y.; Parente, M.; Tronci, E. | ||||
| Title | Modeling cyber-physical systems for automatic verification | Type | Conference Article | ||
| Year | 2017 | Publication | 14th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD 2017) | Abbreviated Journal | |
| Volume | Issue | Pages | 1-4 | ||
| Keywords | cyber-physical systems;formal verification;maximum power point trackers;power engineering computing;Modelica;automatic verification;complex power electronics systems;cyber-physical systems modeling;distributed maximum power point tracking system;open standard modeling language;Computational modeling;Control systems;Integrated circuit modeling;Mathematical model;Maximum power point trackers;Object oriented modeling;Radiation effects;Automatic Formal Verification;Cyber-Physical Systems;DMPPT;Modeling;Photovoltaic systems;Simulation;System Analysis and Design | ||||
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Approved | no | |||
| Call Number | MCLab @ davi @ ref7981621 | Serial | 168 | ||
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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 | 2019 | Publication | Frontiers in Psychology | Abbreviated Journal | |
| Volume | 10 | Issue | Pages | 1296 | |
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| 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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Approved | no | |||
| Call Number | MCLab @ davi @ ref10.3389/fpsyg.2019.01296 | Serial | 178 | ||
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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 | 2019 | Publication | Bioinformatics | Abbreviated Journal | |
| Volume | 36 | Issue | 7 | Pages | 2165–2172 |
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| 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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| ISSN | 1367-4803 | ISBN | Medium | ||
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Approved | no | |||
| Call Number | MCLab @ davi @ ref10.1093/bioinformatics/btz860 | Serial | 179 | ||
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| Author | Alimguzhin, Vadim; Mari, Federico; Melatti, Igor; Salvo, Ivano; Tronci, Enrico | ||||
| Title | A Map-Reduce Parallel Approach to Automatic Synthesis of Control Software | Type | Report | ||
| Year | 2012 | Publication | Abbreviated Journal | ||
| Volume | abs/1210.2276 | Issue | Pages | ||
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| Abstract | Many Control Systems are indeed Software Based Control Systems, i.e. control systems whose controller consists of control software running on a microcontroller device. This motivates investigation on Formal Model Based Design approaches for automatic synthesis of control software.
Available algorithms and tools (e.g., QKS) may require weeks or even months of computation to synthesize control software for large-size systems. This motivates search for parallel algorithms for control software synthesis. In this paper, we present a map-reduce style parallel algorithm for control software synthesis when the controlled system (plant) is modeled as discrete time linear hybrid system. Furthermore we present an MPI-based implementation PQKS of our algorithm. To the best of our knowledge, this is the first parallel approach for control software synthesis. We experimentally show effectiveness of PQKS on two classical control synthesis problems: the inverted pendulum and the multi-input buck DC/DC converter. Experiments show that PQKS efficiency is above 65%. As an example, PQKS requires about 16 hours to complete the synthesis of control software for the pendulum on a cluster with 60 processors, instead of the 25 days needed by the sequential algorithm in QKS. |
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| Publisher | CoRR, Technical Report | Place of Publication | Editor | ||
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Approved | yes | |||
| Call Number | Sapienza @ mari @ | Serial | 101 | ||
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| Author | Tronci, Enrico | ||||
| Title | Optimal Finite State Supervisory Control | Type | Conference Article | ||
| Year | 1996 | Publication | CDC '96: Proceedings of the 35th IEEE International Conference on Decision and Control | Abbreviated Journal | |
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| Abstract | Supervisory Controllers are Discrete Event Dynamic Systems (DEDSs) forming the discrete core of a Hybrid Control System. We address the problem of automatic synthesis of Optimal Finite State Supervisory Controllers (OSCs). We show that Boolean First Order Logic (BFOL) and Binary Decision Diagrams (BDDs) are an effective methodological and practical framework for Optimal Finite State Supervisory Control. Using BFOL programs (i.e. systems of boolean functional equations) and BDDs we give a symbolic (i.e. BDD based) algorithm for automatic synthesis of OSCs. Our OSC synthesis algorithm can handle arbitrary sets of final states as well as plant transition relations containing loops and uncontrollable events (e.g. failures). We report on experimental results on the use of our OSC synthesis algorithm to synthesize a C program implementing a minimum fuel OSC for two autonomous vehicles moving on a 4 x 4 grid. | ||||
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| Publisher | IEEE Computer Society | Place of Publication | Washington, DC, USA | Editor | |
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Approved | yes | |||
| Call Number | Sapienza @ mari @ cdc96 | Serial | 67 | ||
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