Search results for " Complex System"

showing 10 items of 32 documents

An empirically grounded agent based simulator for the air traffic management in the SESAR scenario

2017

In this paper we present a simulator allowing to perform policy experiments relative to the air traffic management. Different SESAR solutions can be implemented in the model to see the reaction of the different stakeholders as well as other relevant metrics (delay, safety, etc). The model describes both the strategic phase associated to the planning of the flight trajectories and the tactical modifications occurring in the en-route phase. An implementation of the model is available as an open-source software and is freely accessible by any user. More specifically, different procedures related to business trajectories and free-routing are tested and we illustrate the capabilities of the mode…

Physics - Physics and Society0209 industrial biotechnologyFlight levelComputer scienceStrategy and ManagementFOS: Physical sciencesTransportationPhysics and Society (physics.soc-ph)02 engineering and technologyManagement Monitoring Policy and Law020901 industrial engineering & automationSoftware0502 economics and businessSimulation050210 logistics & transportationMeasure (data warehouse)business.industry05 social sciencesAir traffic managementResolution (logic)Air traffic controlSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)TrajectoryRouting (electronic design automation)socio technical complex systems air traffic management agent based modelsbusinessAirspace classLawJournal of Air Transport Management
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Volatility Effects on the Escape Time in Financial Market Models

2008

We shortly review the statistical properties of the escape times, or hitting times, for stock price returns by using different models which describe the stock market evolution. We compare the probability function (PF) of these escape times with that obtained from real market data. Afterwards we analyze in detail the effect both of noise and different initial conditions on the escape time in a market model with stochastic volatility and a cubic nonlinearity. For this model we compare the PF of the stock price returns, the PF of the volatility and the return correlation with the same statistical characteristics obtained from real market data.

Physics - Physics and SocietyStock market modelFOS: Physical sciencesProbability density functionPhysics and Society (physics.soc-ph)Langevin-type equationHeston modelEconophysics; Stock market model; Langevin-type equation; Heston model; Complex SystemsFOS: Economics and businessEconometricsEconomicsEngineering (miscellaneous)Statistical Finance (q-fin.ST)EconophysicsStochastic volatilityApplied MathematicsEconophysicFinancial marketQuantitative Finance - Statistical FinanceComplex SystemsSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Heston modelModeling and SimulationMarket dataStock marketVolatility (finance)
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DECISION-MAKING MODELS FOR PREDICTIVE MAINTENANCE SERVICE SUPPORT SYSTEMS

2023

Nell'era digitale, la tecnologia è in continua evoluzione, con enormi progressi nell'automazione che consentono una gestione della manutenzione più efficiente ed economica. Le tecnologie digitali stanno convergendo e avanzando insieme alle industrie, determinando progressi significativi nella gestione della manutenzione. La tradizionale strategia di manutenzione preventiva gestita dall'uomo lascia progressivamente spazio alla manutenzione predittiva, che rappresenta un’ottima opportunità per migliorare significativamente la pianificazione della manutenzione del sistema, in particolare per i sistemi più complessi e dal significativo valore monetario. Tuttavia, l’implementazione di tecniche d…

Predictive maintenance Decision-making models complex systems optimization maintenance digitalization maintenance management Industry 4.0 Multi-criteria decision-making Complex systemsSettore ING-IND/17 - Impianti Industriali Meccanici
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Effects of complex movements on the brain as a result of increased decision-making

2019

Non-linearity is considered to be an essential property of complex systems. The associated high sensitivity of the result on the constraints leads to fundamental problems of a system description based on variables selected in the reductionist tradition. The attempt to compensate the problems by averaging data leads to the neglect of the individual and the moment. However, both is of enormous importance for effective therapy, training, and learning. The theory of differential learning suggests an alternative approach to dealing with these problems. With constantly changing complex whole-body movements, extensive decisions are demanded from the learner, which lead to brain states through an o…

ReductionismProperty (philosophy)Computer scienceWorking memorymedia_common.quotation_subjectlcsh:Public aspects of medicineComplex systemlcsh:RA1-1270General MedicineNeglectSystem dynamicsMoment (mathematics)differential learning; system dynamics; complex systemsbrain statesDifferential learningeegmedia_commonCognitive psychologyJournal of Complexity in Health Sciences
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Stochastic dynamics of leukemic cells under an intermittent targeted therapy

2009

The evolutionary dynamics of cancerous cell populations in a model of Chronic Myeloid Leukemia (CML) is investigated in the presence of an intermittent targeted therapy. Cancer development and progression is modeled by simulating the stochastic evolution of initially healthy cells which can experience genetic mutations and modify their reproductive behavior, becoming leukemic clones. Front line therapy for the treatment of patients affected by CML is based on the administration of tyrosine kinase inhibitors, namely imatinib (Gleevec) or, more recently, dasatinib or nilotinib. Despite the fact that they represent the first example of a successful molecular targeted therapy, the development o…

Statistics and ProbabilityComplex systemsmedicine.medical_treatmentModels BiologicalPiperazinesSettore FIS/03 - Fisica Della MateriaCancer evolutionTargeted therapyLeukemia Myelogenous Chronic BCR-ABL Positivehemic and lymphatic diseasesStochastic dynamics; Cancer evolution; Complex systemsHumansMedicineComputer SimulationStochastic dynamicMolecular Targeted TherapyProtein Kinase InhibitorsEcology Evolution Behavior and SystematicsStochastic Processesbusiness.industryApplied MathematicsMyeloid leukemiaImatinibmedicine.diseaseSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)DasatinibLeukemiaPyrimidinesImatinib mesylateNilotinibStochastic dynamics Monte Carlo simulationBenzamidesImmunologyCancer cellDisease ProgressionImatinib MesylateCancer researchbusinessmedicine.drug
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Hitting Time Distributions in Financial Markets

2006

We analyze the hitting time distributions of stock price returns in different time windows, characterized by different levels of noise present in the market. The study has been performed on two sets of data from US markets. The first one is composed by daily price of 1071 stocks trade for the 12-year period 1987-1998, the second one is composed by high frequency data for 100 stocks for the 4-year period 1995-1998. We compare the probability distribution obtained by our empirical analysis with those obtained from different models for stock market evolution. Specifically by focusing on the statistical properties of the hitting times to reach a barrier or a given threshold, we compare the prob…

Statistics and ProbabilityPhysics - Physics and SocietyAutoregressive conditional heteroskedasticityStock market modelFOS: Physical sciencesPhysics and Society (physics.soc-ph)Langevin-type equationHeston modelEconophysics; Stock market model; Langevin-type equation; Heston model; Complex SystemsFOS: Economics and businessEconometricsMathematicsGeometric Brownian motionStatistical Finance (q-fin.ST)Actuarial scienceEconophysicFinancial marketHitting timeQuantitative Finance - Statistical FinanceComplex SystemsProbability and statisticsCondensed Matter PhysicsSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Heston modelPhysics - Data Analysis Statistics and ProbabilityProbability distributionStock marketData Analysis Statistics and Probability (physics.data-an)
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Structure and evolution of a European Parliament via a network and correlation analysis

2016

We present a study of the network of relationships among elected members of the Finnish parliament, based on a quantitative analysis of initiative co-signatures, and its evolution over 16 years. To understand the structure of the parliament, we constructed a statistically validated network of members, based on the similarity between the patterns of initiatives they signed. We looked for communities within the network and characterized them in terms of members' attributes, such as electoral district and party. To gain insight on the nested structure of communities, we constructed a hierarchical tree of members from the correlation matrix. Afterwards, we studied parliament dynamics yearly, wi…

Statistics and ProbabilityPhysics - Physics and SocietyOperations researchComplex systemBipartite system; Community detection; Complex systems; Correlation analysis; Networks; Social systems; Statistics and Probability; Condensed Matter PhysicsParliamentmedia_common.quotation_subjectOpposition (politics)FOS: Physical sciencesNetworkPhysics and Society (physics.soc-ph)01 natural sciences010305 fluids & plasmasElectoral districtPolitical science0103 physical sciencesSimilarity (psychology)Correlation analysiRegional scienceSocial system010306 general physicsmedia_commonStructure (mathematical logic)GovernmentCommunity detectionCondensed Matter PhysicsBipartite systemQuantitative analysis (finance)Social system
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n-cluster models in a transverse magnetic field

2017

In this paper we analize a family of one dimensional fully analytically solvable models, named the n-cluster models in a transverse magnetic field, in which a many-body cluster interaction competes with a uniform transverse magnetic field. These models, independently by the cluster size n + 2, exibit a quantum phase transition, that separates a paramagnetic phase from a cluster one, that corresponds to a nematic ordered phase or a symmetry-protected topological ordered phase for even or odd n respectively. Due to the symmetries of the spin correlation functions, we prove that these models have no genuine n+2-partite entanglement. On the contrary, a non vanishing concurrence arises between s…

Statistics and ProbabilityQuantum phase transitionPhysicsQuantum PhysicsStatistical Mechanics (cond-mat.stat-mech)SpinsFOS: Physical sciencesStatistical and Nonlinear PhysicsQuantum entanglementCondensed Matter Physics01 natural sciences010305 fluids & plasmasMagnetic fieldParamagnetismQuantum mechanics0103 physical sciencesCluster (physics)quantum complex systemsStatistics Probability and UncertaintyQuantum informationQuantum Physics (quant-ph)010306 general physicsCondensed Matter - Statistical MechanicsSpin-½
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Translocation dynamics of a short polymer driven by an oscillating force

2013

Under the terms of the Creative Commons Attribution 3.0 Unported License.

chemistry.chemical_classificationQuantitative Biology::BiomoleculesField (physics)Polymersmedia_common.quotation_subjectDynamics (mechanics)General Physics and AstronomyMonotonic functionPolymerFunction (mathematics)InertiaSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Settore FIS/03 - Fisica Della MateriaQuantitative Biology::Subcellular ProcessesCondensed Matter::Soft Condensed MatterLangevin equationchemistryChemical physicsMetastabilityPolymer translocation Complex Systems Langevin equation Stochastic modelingThermodynamicsStatistical physicsPhysical and Theoretical Chemistrymedia_common
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Anagraphical relationships and crime specialization within Cosa Nostra

2021

Abstract The aim of the present work is to investigate the relationships established within Cosa Nostra, by making use of networks and complex-systems methods. The analysis is performed at three different levels, that is, individuals, groups within mafia syndicates, and relationships amongst mafia syndicates. The reported empirical analysis is based on the criminal records of 632 affiliates to Cosa Nostra selected from a set of 125 judgements emitted by the Palermo courts from 2000 to 2014. According to the criminal records of the Palermo Prosecutor Office, such a dataset includes approximately 10% of the whole population of Cosa Nostra affiliates in western Sicily. Furthermore, the vital s…

education.field_of_study050402 sociologySociology and Political Science05 social sciencesPopulationGeneral Social SciencesCriminologySyndicateSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)0506 political scienceSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.0504 sociologyAnthropologyPolitical scienceSpecialization (functional)050602 political science & public administrationComplex networks Complex systems Criminal specialization Mafia Social networks Social relationshipseducationGeneral PsychologySocial Networks
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