نتایج جستجو برای: monte carlo simulation

تعداد نتایج: 602139  

ژورنال: سنجش و ایمنی پرتو 2020

Todays gamma knife radiosurgery is used widely for treatment of very small brain tumors. In order to investigate accuracy of dosimetry and treatment planning calculations, using Monte Carlo simulation with dedicated code named as beamnrc including non-CT data and CT data options is necessary. The aim of this study is choosing the best options in order to have an accurate tools based on their ad...

Journal: :cell journal 0

objective: the passage of ionizing radiation in living cells creates clusters of damaged nucleotides in dna. in this study, dna strand breaks induced by the beta particle of iodine-131 (i-131), have been determined experimentally and compared to monte carlo simulation results as a theoretical method of determining131i damage. materials and methods: in this experimental study, in order to create...

Journal: :نشریه دانشکده فنی 0
دکتر حسین محسنی دکتر کارولوکس مهندس گیورگ قره پتیان

the paper presents simulation results for the propagation of lightning surges along a transmission line and the overvoltages generated in a transformer at the end of the line. it is shown that the monte carlo simulation method provides more realistic assessments than the deterministic methods. it has also been shown that increasing capacitance in transformers results in reduced levels of overvo...

Journal: :Monte Carlo Meth. and Appl. 2004
Bruno Tuffin

Monte Carlo and quasi Monte Carlo methods are simulation techniques that have been de signed to e ciently estimate integrals for instance Quasi Monte Carlo asymptotically outperforms Monte Carlo but the error can hardly be estimated We propose here to recall how hybrid Monte Carlo Quasi Monte Carlo have been developed to easily get error estimations with a special em phasis on the so called ran...

2013
Nitesh Kumar R. N. Sengupta

This paper will try to look into the two important methods for the calculation of Value at Risk (VaR) for non linear portfolio using Monte Carlo Simulation method. The two techniques Closed form VaR and Multilevel Monte Carlo VaR for valuing the derivative portfolio are explained in details. In case of multilevel Monte Carlo simulation, it has been found that with decrease in the number of inne...

2000
Grant S. Heffelfinger

Algorithms developed to enable the use of atornistic molecular simulation methods with parallel computers are reviewed. Methods appropriate for bonded as well as non-bonded (and charged) interactions are included. While strategies for obtaining parallel molecukir simulations have been developed for the full variety of atomistic simulation methods, molecular dynamics and Monte Carlo have receive...

Journal: :journal of biomedical physics and engineering 0
m zabihzadeh t moshirian m ghorbani c knaup m a behrooz

background: to enhance the dose to tumor, the use of high atomic number elements has been proposed. objective: the aim of this study is to investigate the effect of gold nanoparticle distribution on dose enhancement in tumor when the tumor is irradiated by typical monoenergetic x-ray beams by considering homogeneous and inhomogeneous distributions of gold nanoparticles (gnps) in the tumor. meth...

Journal: :international journal of transportation engineereing 2015
amir reza mamdoohi mohsen fallah zavareh abolfazl hassani trond nordfjærn

in recent research on modelling road collisions very little attention has been paid  to rear-end chain reaction collisions, which is characterized by more than two vehicles involved in a collision at the same time. the core aim of the present research is to develop a methodology to estimate such potential collision probabilities based on a proactive perspective, where deceleration rate to avoid...

Journal: :international journal of industrial engineering and productional research- 0
m. reza peyghami - abdollah aghaie - hadi mokhtari -

in this paper, we consider a stochastic time-cost tradeoff problem (tctp) in pert networks for project management, in which all activities are subjected to a linear cost function and assumed to be exponentially distributed. the aim of this problem is to maximize the project completion probability with a pre-known deadline to a predefined probability such that the required additional cost is min...

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