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Browsing by Subject "Monte Carlo simulation"

Now showing items 1-17 of 17

A comparative study to the numerical approximation of random Airy differential equation

Cortés López, Juan Carlos; Jódar Sánchez, Lucas Antonio; Romero Bauset, José Vicente; Roselló Ferragud, María Dolores (Elsevier, 2011-11)

The aim of this paper is twofold. First, we deal with the extension to the random framework of the piecewise Fröbenius method to solve Airy differential equations. This extension is based on mean square stochastic calculus. ...
Application of the Monte Carlo method to the analysis of measurement geometries for the calibration of a HP Ge detector in an environmental radioactivity laboratory

Ródenas Diago, José; Gallardo Bermell, Sergio; Ballester Pérez, Silvia; Primault, Virginie; Ortiz Moragón, Josefina (Elsevier, 2007)

[EN] A gamma spectrometer including an HP Ge detector is commonly used for environmental radioactivity measurements. The efficiency of the detector should be calibrated for each geometry considered. Simulation of the ...
Bremsstrahlung spectrum reconstruction from gradient depth dose curves obtained in a water phantom

Juste Vidal, Belen Jeanine; Miró Herrero, Rafael; Verdú Martín, Gumersindo Jesús; Diez, S; Campayo, J. M. (American Nuclear Society, 2011)

[EN] Megavoltage sources are commonly used in radiotherapy treatments, and the determination of the spectral distribution of a photon beam is extremely important for exact dosimetry and for the calculation of therapeutic dose ...
Comparison of Extracorporeal Shock Wave Lithotripsy versus Ureteroscopy Holmium Laser Lithotripsy in the Management of Ureteral Stones: A Cost-effectiveness Analysis

Budia Alba, Alberto; Caballer Tarazona, Vicent; Vivas Consuelo, David José Juan; López Acon, Daniel; Conca, Mª Angeles; Díez-De Pablos, José Antonio; Bahilo, Pilar; Trassierra, Marta (OMICS International, 2016-08)

[EN] Objective: To determine the better cost-effective treatment strategy for ureteral stones in a health district of Eastern Spain. Methods: A total of 180 patients were treated between June 2012 and December 2013 for ...
Comparison of interval and Monte Carlo simulation for the prediction of postprandial glucose under uncertainty in type 1 diabetes mellitus

Calm, R.; García-Jaramillo, M.; Bondía Company, Jorge; Sainz, M.A.; Vehí, J. (Elsevier, 2011-12)

[EN] In this paper, the problem of tackling uncertainty in the prediction of postprandial blood glucose is analyzed. Two simulation approaches, Monte Carlo and interval models, are studied and compared. Interval simulation ...
Cost-utility model of brivaracetam in the adjunctive treatment of patients with epilepsy in Spain

Barrachina Martínez, Isabel; Vivas-Consuelo, David; Reyes-Santias, Francisco (Taylor & Francis, 2020-11-06)

[EN] Objective This study aims to assess the cost utility of Brivaracetam compared with the third-generation anti-epileptic drugs used as standard care. Methods A cost utility analysis of Brivaracetam was carried ...
Estudio del efecto de la estimación del tiempo y el tamaño del búfer de proyecto en el Método de la Cadena Crítica

Fuentes, Joaquín; Ruíz, Juan Pedro; Valverde, Nelia; Navarro Astor, Elena (Universidad Politecnica de Madrid - University Library, 2019-04)

[ES] La aplicación del Método de la Cadena Crítica en la dirección y gestión de proyectos suscita abiertos debates sobre qué procedimiento de dimensionado del búfer se ha de utilizar y cuál ha de ser la duración de las ...
Extending the study on the linear advection equation subject to stochastic velocity field and initial condition

Calatayud, J.; Cortés, J.-C.; Dorini, F. A.; Jornet, M. (Elsevier, 2020-06)

[EN] In this paper we extend the study on the linear advection equation with independent stochastic velocity and initial condition performed in Dorini and Cunha (2011). By using both existing and novel results on the ...
Improving Kernel Methods for Density Estimation in Random Differential Equations Problems

Cortés, J.-C.; Jornet Sanz, Marc (MDPI AG, 2020-06)

[EN] Kernel density estimation is a non-parametric method to estimate the probability density function of a random quantity from a finite data sample. The estimator consists of a kernel function and a smoothing parameter ...
Measurement uncertainty of multicore optical fiber sensors used to sense curvature and bending direction

Floris, Ignazio; Sales Maicas, Salvador; Calderón García, Pedro Antonio; Adam, Jose M (Elsevier, 2019-01)

[EN] This paper describes a study of the influence of strain measurement uncertainty on sensing curvature and bending direction, considering one of the most widely used fiber geometries for sensing applications (7-core ...
Monte Carlo calculation of the spatial response (Modulated Transfer Function) of a scintillation flat panel and comparison with experimental results

Juste Vidal, Belen Jeanine; Miró Herrero, Rafael; Monasor, P.; Verdú Martín, Gumersindo Jesús (Elsevier, 2015-11)

Phosphor screens are commonly used in many X-ray imaging applications. The design and optimization of these detectors can be achieved using Monte Carlo codes to simulate radiation transport in scintillation materials and ...
Optimal fleet replacement: A case study on a Spanish urban transport fleet

De Sa-Riechi, Jorge Luiz; Macian Martinez, Vicente; Tormos, B.; Avila, Claudio (Nature Publishing Group - Macmillan Publishers, 2017)

[EN] Optimizing the average annual cost of a bus fleet has become an increasing concern in transport companies management around the world. Nowadays, there are many tools available to assist managerial decisions, and one of ...
Random scenarios generation with minimun energy consumption model for sectoring optimization in pressurized irrigation networks using a simulated annealing approach

García Prats, Alberto; Guillem Picó, Santiago; Martínez Alzamora, Fernando; Jiménez Bello, Miguel Ángel (American Society of Civil Engineers, 2012)

A pressurized irrigation network may operate in two ways, namely, on demand and organized under operating sectors. In the first case, the user decides when to irrigate, and the pumping station has to meet the discharge and ...
Second order linear differential equations with analytic uncertainties: stochastic analysis via the computation of the probability density function

Jornet, Marc; Calatayud, J.; Le Maître, O.P.; Cortés, J.-C. (Elsevier, 2020-08-15)

[EN] This paper concerns the analysis of random second order linear differential equations. Usually, solving these equations consists of computing the first statistics of the response process, and that task has been an ...
Simulación de dispositivos PET y SPECT con el código de Monte Carlo GEANT-GATE

Pozuelo Navarro, Fausto (Universitat Politècnica de València, 2014-05-19)

[ES] En este trabajo se han simulado los escáneres genéricos PET y SPECT con el código de Monte Carlo GATE-GEANT4. Se ha seguido el protocolo NEMA 2001 para realizar un análisis de sensibilidad del escáner PET genérico. ...
Uncertainty analysis in MCNP5 calculations for brachytherapy treatment

Gerardy, Isabelle Yvonne Joséphine; Ródenas Diago, José; Gallardo Bermell, Sergio (Elsevier, 2011-08)

The Monte Carlo (MC) method can be applied to simulate brachytherapy treatment planning. The MCNP5 code gives, together with results, a statistical uncertainty associated with them. However, the latter is not the only ...
Use of MOSFET dosimeters to validate Monte Carlo radiation treatment calculation in an anthropomorphic phantom

Juste Vidal, Belen Jeanine; Miró Herrero, Rafael; Abella Aranda, Vicente; Santos Serra, Agustín; Verdú Martín, Gumersindo Jesús (Elsevier, 2015-11)

Radiation therapy treatment planning based on Monte Carlo simulation provide a very accurate dose calculation compared to deterministic systems. Nowadays, Metal-Oxide-Semiconductor Field Effect Transistor (MOSFET) dosimeters ...