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Using P-GRADE for Monte Carlo Computations in a Distributed Environment [chapter]

Vassil N. Alexandrov, Ashish Thandavan, Péter Kacsuk
2004 Lecture Notes in Computer Science  
In this paper, we show how Monte Carlo algorithms for solving Systems of Linear Equations and Matrix Inversion can easily be parallelized using P-GRADE.  ...  P-GRADE is a parallel application development environment which provides an integrated set of programming tools for development of general message-passing applications to run in heterogeneous computing  ...  Conclusion In this paper we have considered how we can efficiently use P-GRADE for programming a hybrid Monte Carlo/deterministic algorithms for Matrix Computation for any non-singular matrix.  ... 
doi:10.1007/978-3-540-25944-2_62 fatcat:jxfu2bj7ergxnhyeygl7xoh7je

Unmanned aerial vehicle relative navigation in GPS denied environments

Jeremy Hardy, Jared Strader, Jason N. Gross, Yu Gu, Mark Keck, Joel Douglas, Clark N. Taylor
2016 2016 IEEE/ION Position, Location and Navigation Symposium (PLANS)  
This paper considers the problem of target handoff between Unmanned Aerial Vehicles (UAVs) in a GPS denied environment, and focuses on the design and evaluation of an estimation strategy for determining  ...  The computer vision technique first uses an indexing scheme based on a hierarchical statistical model to determine which frames from the two cameras have overlapping coverage, aligns the overlapping frames  ...  errors used in the Monte Carlo analysis.  ... 
doi:10.1109/plans.2016.7479719 dblp:conf/plans/HardySG0KDT16 fatcat:jy2wf4czeffuhok7c5gsypnpju

Markov chain modelling for time evolution of internal pitting corrosion distribution of oil and gas pipelines

Chinedu I. Ossai, Brian Boswell, Ian Davies
2016 Engineering Failure Analysis  
A negative binomial distribution was used for calculating the transition probability functions of the pit depths whilst pit depths growth was estimated for low, moderate, high and severe pitting corrosion  ...  A continuous time non-homogenous linear growth pure birth Markov model was used to predict the future pit depth distribution of internally corroded oil and gas pipelines.  ...  Figure 12 : 12 Monte Carlo simulation framework for estimation of future corroded pit depth distribution of a single in-line inspection Figure 13 : 13 Comparison of Markov predicted and Monte Carlo simulated  ... 
doi:10.1016/j.engfailanal.2015.11.052 fatcat:6mcoqlp5ubb2fhvg6dp3oiq6au

Book Reviews

Clifford E. Lunneborg
1990 Educational and Psychological Measurement  
techniques, Monte Carlo sampling from a fully specified population—Monte Carlo sampling in the book—is the least likely to be casually misapplied.  ...  - tion) tests, (b) Monte Carlo sampling from a fully specified popula- tion and (c) Monte Carlo bootstrap sampling.  ... 
doi:10.1177/0013164490502024 fatcat:ow7tol676vbrraet7nszcyajni

Reflecting interdependencies between risk factors in corporate risk modeling using Monte Carlo simulation / Odzwierciedlanie współzależności pomiędzy czynnikami ryzyka w modelowaniu ryzyka działalności gospodarczej przedsiębiorstwa z wykorzystaniem symulacji Monte Carlo

Jan Kaczmarzyk
2016 Econometrics  
A few high-end professional Monte Carlo analysis computer applications (mostly spreadsheet add-ons e.g.  ...  The grade earned for 2014 was 75.77 points (a normalized value of 7.3 pts.). We are constantly making efforts to obtain an even higher evaluation in the years to come.  ... 
doi:10.15611/ekt.2016.2.07 fatcat:e4kbrtj3vnff7gfnbdwiuxoj5u

Page 608 of Educational and Psychological Measurement Vol. 75, Issue 4 [page]

2015 Educational and Psychological Measurement  
R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing. SAS Institute Inc. (2012).  ...  The Monte Carlo method. Journal of the American Statistical Association, 44, 335-341. *Meyer, J. P. (2010). A mixture Rasch model with item response time components.  ... 

Constructing PineAPPL grids on hardware accelerators [article]

Stefano Carrazza, Juan M. Cruz-Martinez, Christopher Schwan
2020 arXiv   pre-print
In this proceedings we demonstrate how to implement and construct the PineAPPL grids, designed for fast-interpolation of Monte Carlo simulation with electroweak and QCD corrections, using the VegasFlow  ...  framework for Monte Carlo simulation on hardware accelerators.  ...  Acknowledgements We acknowledge the NVIDIA Corporation for the donation of a Titan V GPU used for this research.  ... 
arXiv:2009.11798v1 fatcat:yt6u73b3ibgpzhna7op7umvsju

Hybrid Fuzzy-Stochastic Modeling Approach for Assessing Environmental Risks at Contaminated Groundwater Systems

Z. Chen, G. H. Huang, A. Chakma
2003 Journal of environmental engineering  
A number of tasks have been undertaken, including Monte Carlo simulation for the fate of contaminants in subsurface, examination of contamination levels based on the simulation results, quantification  ...  In this study, a hybrid fuzzy-stochastic risk assessment ͑FUSRA͒ approach is developed for examining uncertainties associated with both source/media conditions and evaluation criteria in a groundwater  ...  The writers are grateful to the anonymous reviewers for their insightful and helpful comments and suggestions.  ... 
doi:10.1061/(asce)0733-9372(2003)129:1(79) fatcat:hkyr4zehancqpch2i5xc6b5k5q

Power Quality Prediction, Early Warning, and Control for Points of Common Coupling with Wind Farms

Jingjing Bai, Wei Gu, Xiaodong Yuan, Qun Li, Feng Xue, Xuchong Wang
2015 Energies  
The model incorporates a distance-based cluster analysis, probability distribution analysis based on polynomial fitting, pattern matching based on similarity, and Monte Carlo random sampling.  ...  A novel PQ prediction, early warning, and control approach for the common coupling points between wind farms and the network is proposed in this paper.  ...  Random Sampling Using a Monte Carlo Method Monte Carlo methods use random samples to answer questions of interest [22] .  ... 
doi:10.3390/en8099365 fatcat:p36n6h4vmzgo5k3zwau535vx5u

Predicting the effect of various ISA penetration grades on pedestrian safety by simulation

Xiaoliang Ma, Ingmar Andréasson
2005 Accident Analysis and Prevention  
Finally, Monte Carlo method is applied iteratively to compute those safety indices.  ...  A microscopic traffic simulation tool, TPMA, was further developed and used to implement different ISA penetration grades.  ...  Gunar Lind for the helpful discussions in the early EVITA project work.  ... 
doi:10.1016/j.aap.2005.06.017 pmid:16061189 fatcat:rm6iry3vxvd6zcd4fiq7ejzwuu

Bridging Levels of Analysis for Probabilistic Models of Cognition

Thomas L. Griffiths, Edward Vul, Adam N. Sanborn
2012 Current Directions in Psychological Science  
Recent research employing this strategy has focused on the possibility that the Monte Carlo principle-which concerns sampling from probability distributions in order to perform computations-provides a  ...  One strategy for bridging levels of analysis is to explore cognitive processes that have a direct link to probabilistic inference.  ...  One highly successful strategy for approximating probabilistic inference in computer science and statistics is the Monte Carlo principle: Instead of using the probability distribution itself to perform  ... 
doi:10.1177/0963721412447619 fatcat:gkb4b2redzcntpqhtyuvrdp3da

A Mathematical, Computational and Symbolic Representation Framework Towards Digital Marketing Planning

Shuliang Li, Jim Zheng Li, Felicity Hardley
2011 2011 International Conference on Management and Service Science  
WestminsterResearch A mathematical, computational and symbolic representation framework towards digital marketing planning  ...  The authors wish to thank the following people for their participation in evaluating  ...  The algorithm for Monte Carlo simulation using uniformly distributed random numbers and the inverse function of a symmetric or asymmetric cumulative distribution of the triangular probability distribution  ... 
doi:10.1109/icmss.2011.5999080 fatcat:464sr3wqyvga3echlvena7ccoi

Dual Airborne Laser Scanners Aided Inertial for Improved Autonomous Navigation

A.K. Vadlamani, M.U. de Haag
2009 IEEE Transactions on Aerospace and Electronic Systems  
Hence, the system can be used in both non-GPS as well as unknown terrain environments.  ...  Although the system has elements of a conventional TRN system, it does not require a terrain database since its in-flight mapping capability generates the terrain data for navigation.  ...  For the data sets used in Section IV, this is shown to be true when using a navigation-grade INS.  ... 
doi:10.1109/taes.2009.5310312 fatcat:43ksa2et4nf4npurdu4r3viroi

Light Source Estimation in Synthetic Images [chapter]

Mike Kasper, Nima Keivan, Gabe Sibley, Christoffer Heckman
2016 Lecture Notes in Computer Science  
We model light as an environment map as light sources at infinity for its benefits in estimation.  ...  We evaluate a novel light source estimation algorithm with synthetic image data generated using a custom path-tracer.  ...  We employ sequential Monte Carlo (sMQ) to estimate the parameters of our environment light.  ... 
doi:10.1007/978-3-319-49409-8_72 fatcat:3d2zjyrp5jgs5kg6icvaonwv3q

TID characterization of COTS parts using Radiotherapy Linear Accelerators

Oscar Gutiérrez, Manuel Prieto, Alberto Sánchez-Reyes, Alberto Gómez
2019 IEICE Electronics Express  
The Monte Carlo method used and the procedure for TID characterization are shown.  ...  These devices need to be tested and qualified to operate under special environment conditions such those present in nuclear or space applications.  ...  For our Monte Carlo simulation, a total of 5 10simulated photon histories where used.  ... 
doi:10.1587/elex.16.20190077 fatcat:ahel2cjsfrbfzkfyqg24mckb2q
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