نتایج جستجو برای: sequential indicator simulation

تعداد نتایج: 711295  

Journal: :فیزیک زمین و فضا 0
شیما سلیمانی دانشجوی کارشناسی ارشد ژئوفیزیک، گروه فیزیک زمین، موسسه ژئوفیزیک دانشگاه تهران، ایران امید اصغری استادیار، دانشکده معدن، دانشگاه تهران، ایران محمدکاظم حفیظی استاد، گروه فیزیک زمین، موسسه ژئوفیزیک دانشگاه تهران، ایران

saltwater intrusion into freshwater in coastal areas has been a serious concern for many countries. providing fresh water in some regions is very crucial. in fact, the areas that  are prone to encountering salt water zones should be checked meticulously. the preferred method for such investigation is a precise 3-d model of distribution of fresh and salt water in order to reach such a model, rel...

1998
A. D. Pimentel L. O. Hertzberger

This paper describes the parallelization of the Mermaid multicomputer simulation environment. Due to our simulation methodology, this parallelization is reasonably straightforward as it does not require any measures to guarantee the causality within the simulated system. The resulting distributed simulator increases the simulation performance without any loss of simulation accuracy. Furthermore...

Journal: :Journal of Petroleum Exploration and Production Technology 2021

Abstract Gamtoos Basin is an echelon sub-basin under the Outeniqua offshore of South Africa. It a complex rift-type basin with both onshore and components consists relatively simple half-grabens bounded by major fault to northeast. This study mainly focused on evaluation reservoir heterogeneity Valanginian depositional sequence. The prime objective this work generate 3D static model for better ...

2011
Jing Yang Kevin Skadron Mary Lou Soffa Kamin Whitehouse

This paper proposes DBP, an automatic technique that transparently parallelizes a sequential binary executable while it is running. A prototype implementation in simulation was able to increase sequential execution speeds by up to 1.96x, averaged over three benchmarks suites.

Journal: :EURASIP J. Adv. Sig. Proc. 2004
Dong Guo Xiaodong Wang Rong Chen

The mixture Kalman filter is a general sequential Monte Carlo technique for conditional linear dynamic systems. It generates samples of some indicator variables recursively based on sequential importance sampling (SIS) and integrates out the linear and Gaussian state variables conditioned on these indicators. Due to the marginalization process, the complexity of the mixture Kalman filter is qui...

Journal: :BMJ Simulation and Technology Enhanced Learning 2019

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