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1.
Bhatia, Saurav.
Non-Rayleigh scattering by a randomly oriented elongated scatterer.
Degree: 2012, MIT and Woods Hole Oceanographic Institution
URL: http://hdl.handle.net/1912/5415 
► The echo statistics of a randomly rough, randomly oriented prolate spheroid that is randomly located in a beampattern are investigated from physics-based principles both analytically…
(more)
▼ The echo statistics of a randomly rough, randomly oriented prolate spheroid that
is randomly located in a beampattern are investigated from physics-based principles
both analytically and by Monte Carlo methods. This is a direct-path geometry in
which reflections from neighboring boundaries are not a factor. The center of the
prolate spheroid is assumed to be con fined to the plane containing the MRA (maximum
response axis). Additionally, the rotation of the prolate spheroid is assumed
to always be in this plane. The statistics and, in particular, the tails of the probability
density function (PDF) and probability of false alarm (PFA) are shown to
be strongly non-Rayleigh and a strong function of shape of scatterer. The tails are
shown to increase above that associated with a Rayleigh distribution with increasing
degree of elongation (aspect ratio) of the scatterer and when roughness effects are introduced. And, as also shown in previous studies, the effects associated with
the scatterer being randomly located in the beam contribute to the non-Rayleigh
nature of the echo. The analytically obtained results are compared to Monte Carlo
simulations for verification.
Subjects/Keywords: Monte Carlo method
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APA (6th Edition):
Bhatia, S. (2012). Non-Rayleigh scattering by a randomly oriented elongated scatterer. (Thesis). MIT and Woods Hole Oceanographic Institution. Retrieved from http://hdl.handle.net/1912/5415
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Bhatia, Saurav. “Non-Rayleigh scattering by a randomly oriented elongated scatterer.” 2012. Thesis, MIT and Woods Hole Oceanographic Institution. Accessed January 19, 2021.
http://hdl.handle.net/1912/5415.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Bhatia, Saurav. “Non-Rayleigh scattering by a randomly oriented elongated scatterer.” 2012. Web. 19 Jan 2021.
Vancouver:
Bhatia S. Non-Rayleigh scattering by a randomly oriented elongated scatterer. [Internet] [Thesis]. MIT and Woods Hole Oceanographic Institution; 2012. [cited 2021 Jan 19].
Available from: http://hdl.handle.net/1912/5415.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Bhatia S. Non-Rayleigh scattering by a randomly oriented elongated scatterer. [Thesis]. MIT and Woods Hole Oceanographic Institution; 2012. Available from: http://hdl.handle.net/1912/5415
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Oregon State University
2.
Talbot, Paul W.
Extending the discrete maximum principle for the IMC equations.
Degree: MS, Nuclear Engineering, 2012, Oregon State University
URL: http://hdl.handle.net/1957/36503
► The implicit Monte Carlo (IMC) method [16] for radiative transfer, developed in 1971, provides numerical solutions to the tightly-coupled, highly-nonlinear radiative heat transfer equations in…
(more)
▼ The implicit
Monte Carlo (IMC)
method [16] for radiative transfer, developed in 1971, provides numerical solutions to the tightly-coupled, highly-nonlinear radiative heat transfer equations in many physical situations. Despite its popularity, there are instances of overheating in the solution for particular choices of time steps and spatial grid sizes. To prevent overheating, conditions on teh time step size Δt have been sought to ensure that the implicit
Monte Carlo (IMC) equations satisfy a maximum principle. Most recently, a discrete maximum principle (DMP) for teh IMC equations has been developed [32] that predicts the necessary time step size for boundedness given the spatial grid size. Predictions given by this DMP assumed equilibrium thermal initial conditions, was developed using pseudo-analytic and symbolic algebra tools that are computationally expensive, has only been applied to one-dimensional Marshak wave problems, and has not considered the evolution of the DMP predictions over multiple time steps. These limitations restrict the utility of the DMP predictions.
We extend the DMP derivation to overcome these limitations and provide an algorithm that can be introduced into IMC codes with minimal impact on simulation CPU time. This extended DMP effectively treats non-equilibrium thermal initial conditions, decreases calculation time by using multigroup approximations in
frequency, considers multiple spatial dimensions with an arbitrary number of neighboring sources, and overcomes inherent difficulties for the DMP in time-dependent problems.
Disequilibrium in the initial conditions is introduced through a redefinition of existing terms from [32] to different radiation and material temperatures on the first time step. This results in a limiting DMP inequality similar in form to the original. Multifrequency approximations are then applied by assuming separation of variables. Energy deposition from multiple sources is assumed to follow linear superposition and the DMP from [32] is re-derived to incorporate multiple incident sources of energy in multiple dimensions. Lastly, an inherent flaw in the DMP resulting in poor predictions when temperature varies slowly over a region is overcome by developing a threshold temperature difference, above which the DMP operates. We have numerically implemented these improvements and validated the results against IMC solutions, showing the predictive capacity of the more general DMP algorithm. We find the disequlibrium conditions to be properly incorporated into the DMP, and multifrequency approximations to be accurate over a large range of time step and spatial grid sizes. The linear superposition assumption is generally very accurate, but infrequently leads to DMP predictions which are not conservative. We also demonstrate that the temperature difference threshold prevents inaccurate predictions by the DMP while preserving its functionality.
Advisors/Committee Members: Palmer, Todd S. (advisor), Wollaber, Allan B. (committee member).
Subjects/Keywords: Monte Carlo method
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APA (6th Edition):
Talbot, P. W. (2012). Extending the discrete maximum principle for the IMC equations. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/36503
Chicago Manual of Style (16th Edition):
Talbot, Paul W. “Extending the discrete maximum principle for the IMC equations.” 2012. Masters Thesis, Oregon State University. Accessed January 19, 2021.
http://hdl.handle.net/1957/36503.
MLA Handbook (7th Edition):
Talbot, Paul W. “Extending the discrete maximum principle for the IMC equations.” 2012. Web. 19 Jan 2021.
Vancouver:
Talbot PW. Extending the discrete maximum principle for the IMC equations. [Internet] [Masters thesis]. Oregon State University; 2012. [cited 2021 Jan 19].
Available from: http://hdl.handle.net/1957/36503.
Council of Science Editors:
Talbot PW. Extending the discrete maximum principle for the IMC equations. [Masters Thesis]. Oregon State University; 2012. Available from: http://hdl.handle.net/1957/36503
University of Texas Southwestern Medical Center
3.
Pidikiti, Rajesh 1982-.
Development of Monte Carlo Treatment Planning and Dosimetry System for Small Animal Irradiator.
Degree: 2012, University of Texas Southwestern Medical Center
URL: http://hdl.handle.net/2152.5/ETD-UTSWMED-2012-12-53
► This work utilizes Monte Carlo simulation techniques to build a model of an x-ray tube in order to develop Monte Carlo treatment planning system for…
(more)
▼ This work utilizes
Monte Carlo simulation techniques to build a model of an x-ray tube in order to develop
Monte Carlo treatment planning system for a small animal irradiator.
To accomplish this, the absolute dose calibration of the irradiator performed in accordance with the recommendations of AAPM TG-61 protocol. Both in-air and in-water calibrations were performed at a 30.5 cm source-to-surface distance (SSD) for the reference applicator 40x40 mm2 square field size. The BEAM/EGS was used to model 225 kV photon beams from a small animal irradiator (Precision XRAD225). The
Monte Carlo model was extensively tuned to provide good agreement with achievable measurements of the beam characteristics (e.g. PDD and off-axis ratios). Subsequently, output factors for various square and circular applicators were measured using different dosimeters (ionization chamber, radiochromic film) and compared with MC simulations. The standard gamma index
method with AAPM TG 53 recommendations are used to benchmark the measurements (radio chromic film) against planar dose (
Monte Carlo simulation) along with isodose lines and profiles in both homogeneous and heterogeneous mediums. The statistical uncertainty on the MC-calculated results is between 0.5% and 2% for most points. The CBCT images obtained on the XRAD 225Cx irradiator were converted to a material /density matrix as an input to DOSXYZnrc a MC dose computation module. The measured and computed point doses and isodose distributions were compared using the gamma index
method. The absolute dose measured for reference collimator at 30.5 cm SSD in water and in air is 3.42 and 3.45 Gy/min. The agreement between simulated and measured dosimetric characteristics was excellent. For all fields, a good agreement is observed between measurements and calculations. Finally, a
Monte Carlo treatment planning system for heterogeneous media is developed and validated.
Monte Carlo simulation provides an indispensible tool for validating measurements of the smallest field sizes used in preclinical small animal irradiation.
Advisors/Committee Members: Stojadinovic, Strahinja, Solberg, Timothy, Anderson, Jon, Foster, Ryan, Medin, Paul.
Subjects/Keywords: Calibration; Monte Carlo Method; Radiometry
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APA (6th Edition):
Pidikiti, R. 1. (2012). Development of Monte Carlo Treatment Planning and Dosimetry System for Small Animal Irradiator. (Thesis). University of Texas Southwestern Medical Center. Retrieved from http://hdl.handle.net/2152.5/ETD-UTSWMED-2012-12-53
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Pidikiti, Rajesh 1982-. “Development of Monte Carlo Treatment Planning and Dosimetry System for Small Animal Irradiator.” 2012. Thesis, University of Texas Southwestern Medical Center. Accessed January 19, 2021.
http://hdl.handle.net/2152.5/ETD-UTSWMED-2012-12-53.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Pidikiti, Rajesh 1982-. “Development of Monte Carlo Treatment Planning and Dosimetry System for Small Animal Irradiator.” 2012. Web. 19 Jan 2021.
Vancouver:
Pidikiti R1. Development of Monte Carlo Treatment Planning and Dosimetry System for Small Animal Irradiator. [Internet] [Thesis]. University of Texas Southwestern Medical Center; 2012. [cited 2021 Jan 19].
Available from: http://hdl.handle.net/2152.5/ETD-UTSWMED-2012-12-53.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Pidikiti R1. Development of Monte Carlo Treatment Planning and Dosimetry System for Small Animal Irradiator. [Thesis]. University of Texas Southwestern Medical Center; 2012. Available from: http://hdl.handle.net/2152.5/ETD-UTSWMED-2012-12-53
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Oregon State University
4.
Lewis, Paul (Paul Arthur).
Ensemble Monte-Carlo planning : an empirical study.
Degree: MS, Computer Science, 2010, Oregon State University
URL: http://hdl.handle.net/1957/16472
► Monte-Carlo planning algorithms such as UCT make decisions at each step by intelligently expanding a single search tree given the available time and then selecting…
(more)
▼ Monte-
Carlo planning algorithms such as UCT make decisions at each step by
intelligently expanding a single search tree given the available time and then
selecting the best root action. Recent work has provided evidence that it can be
advantageous to instead construct an ensemble of search trees and make a
decision according to a weighted vote. However, these prior investigations have
only considered the application domains of Go and Solitaire and were limited in
the scope of ensemble configurations considered. In this paper, we conduct a
large scale empirical study of ensemble
Monte-
Carlo planning using the UCT
algorithm in a set of five additional diverse and challenging domains. In
particular, we evaluate the advantages of a broad set of ensemble configurations
in terms of space and time efficiency in both parallel and sequential time models.
Our results show that ensembles are an effective way to improve performance
given a parallel model, can significantly reduce space requirements and in some
cases may improve performance in a sequential model. Additionally, from our
work we produced an open-source planning library.
Advisors/Committee Members: Fern, Alan (advisor), Fern, Xiaoli (committee member).
Subjects/Keywords: planning; Monte Carlo method
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APA (6th Edition):
Lewis, P. (. A. (2010). Ensemble Monte-Carlo planning : an empirical study. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/16472
Chicago Manual of Style (16th Edition):
Lewis, Paul (Paul Arthur). “Ensemble Monte-Carlo planning : an empirical study.” 2010. Masters Thesis, Oregon State University. Accessed January 19, 2021.
http://hdl.handle.net/1957/16472.
MLA Handbook (7th Edition):
Lewis, Paul (Paul Arthur). “Ensemble Monte-Carlo planning : an empirical study.” 2010. Web. 19 Jan 2021.
Vancouver:
Lewis P(A. Ensemble Monte-Carlo planning : an empirical study. [Internet] [Masters thesis]. Oregon State University; 2010. [cited 2021 Jan 19].
Available from: http://hdl.handle.net/1957/16472.
Council of Science Editors:
Lewis P(A. Ensemble Monte-Carlo planning : an empirical study. [Masters Thesis]. Oregon State University; 2010. Available from: http://hdl.handle.net/1957/16472
University of Edinburgh
5.
Zhang, Yichuan.
Scalable geometric Markov chain Monte Carlo.
Degree: PhD, 2016, University of Edinburgh
URL: http://hdl.handle.net/1842/20978
► Markov chain Monte Carlo (MCMC) is one of the most popular statistical inference methods in machine learning. Recent work shows that a significant improvement of…
(more)
▼ Markov chain Monte Carlo (MCMC) is one of the most popular statistical inference methods in machine learning. Recent work shows that a significant improvement of the statistical efficiency of MCMC on complex distributions can be achieved by exploiting geometric properties of the target distribution. This is known as geometric MCMC. However, many such methods, like Riemannian manifold Hamiltonian Monte Carlo (RMHMC), are computationally challenging to scale up to high dimensional distributions. The primary goal of this thesis is to develop novel geometric MCMC methods applicable to large-scale problems. To overcome the computational bottleneck of computing second order derivatives in geometric MCMC, I propose an adaptive MCMC algorithm using an efficient approximation based on Limited memory BFGS. I also propose a simplified variant of RMHMC that is able to work effectively on larger scale than the previous methods. Finally, I address an important limitation of geometric MCMC, namely that is only available for continuous distributions. I investigate a relaxation of discrete variables to continuous variables that allows us to apply the geometric methods. This is a new direction of MCMC research which is of potential interest to many applications. The effectiveness of the proposed methods is demonstrated on a wide range of popular models, including generalised linear models, conditional random fields (CRFs), hierarchical models and Boltzmann machines.
Subjects/Keywords: 519.2; Monte Carlo method
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APA (6th Edition):
Zhang, Y. (2016). Scalable geometric Markov chain Monte Carlo. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/20978
Chicago Manual of Style (16th Edition):
Zhang, Yichuan. “Scalable geometric Markov chain Monte Carlo.” 2016. Doctoral Dissertation, University of Edinburgh. Accessed January 19, 2021.
http://hdl.handle.net/1842/20978.
MLA Handbook (7th Edition):
Zhang, Yichuan. “Scalable geometric Markov chain Monte Carlo.” 2016. Web. 19 Jan 2021.
Vancouver:
Zhang Y. Scalable geometric Markov chain Monte Carlo. [Internet] [Doctoral dissertation]. University of Edinburgh; 2016. [cited 2021 Jan 19].
Available from: http://hdl.handle.net/1842/20978.
Council of Science Editors:
Zhang Y. Scalable geometric Markov chain Monte Carlo. [Doctoral Dissertation]. University of Edinburgh; 2016. Available from: http://hdl.handle.net/1842/20978
University of Missouri – Columbia
6.
Saldivar, Issac.
Direct simulation Monte Carlo for modeling spatially homogeneous multi-component aerosols.
Degree: 2018, University of Missouri – Columbia
URL: http://hdl.handle.net/10355/68938
► Nuclear aerosols generated under normal operational and post-accident reactor environments are of particular importance in estimation of the nuclear source term. Several light water reactor…
(more)
▼ Nuclear aerosols generated under normal operational and post-accident reactor environments are of particular importance in estimation of the nuclear source term. Several light water reactor aerosol containment experiments provided an experimental database for verification and validation of thermal-hydraulic and aerosol transport codes. The Direct Simulation
Monte Carlo (DSMC) technique has been shown to model multicomponent aerosol dynamics accurately while maintaining greater fidelity to actual aerosol physics than its sectional, moments, and finite element predecessors. This research focuses on the development of a comprehensive n-component source term code for modeling the behavior of aerosolized fission products based on the DSMC technique. Effective DSMC benchmarks provided further confidence in the technique's capabilities for modeling exceedingly complex systems. With the inclusion of the Knudsen, Kelvin, and solute effects in the Mason model, the role of condensation on aerosol evolution showed the differentiation of particles by physical size and chemical properties. High fidelity large-scale simulations posed evident but considerable challenges to computational runtime. Developments in the simulation scaling theory for coagulation, condensation, deposition, and generation processes showed to give comparable results while simultaneously reducing simulation time significantly. The evolution of aerosols coupled to environments was explored, and benchmark simulations provided further evidence that DSMC accurately models aerosol dynamics when coupled with containment thermal-hydraulics.
Advisors/Committee Members: Loyalka, Sudarshan K. (advisor).
Subjects/Keywords: Aerosols, Radioactive; Monte Carlo method
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APA (6th Edition):
Saldivar, I. (2018). Direct simulation Monte Carlo for modeling spatially homogeneous multi-component aerosols. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/68938
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Saldivar, Issac. “Direct simulation Monte Carlo for modeling spatially homogeneous multi-component aerosols.” 2018. Thesis, University of Missouri – Columbia. Accessed January 19, 2021.
http://hdl.handle.net/10355/68938.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Saldivar, Issac. “Direct simulation Monte Carlo for modeling spatially homogeneous multi-component aerosols.” 2018. Web. 19 Jan 2021.
Vancouver:
Saldivar I. Direct simulation Monte Carlo for modeling spatially homogeneous multi-component aerosols. [Internet] [Thesis]. University of Missouri – Columbia; 2018. [cited 2021 Jan 19].
Available from: http://hdl.handle.net/10355/68938.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Saldivar I. Direct simulation Monte Carlo for modeling spatially homogeneous multi-component aerosols. [Thesis]. University of Missouri – Columbia; 2018. Available from: http://hdl.handle.net/10355/68938
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Rutgers University
7.
Wang, Liang, 1991-.
On parameter estimation of state space models and its applications.
Degree: PhD, Statistics and Biostatistics, 2018, Rutgers University
URL: https://rucore.libraries.rutgers.edu/rutgers-lib/57751/
► State space model is a class of models where the observations are driven by underlying stochastic processes. It is widely used in computer vision, economics…
(more)
▼ State space model is a class of models where the observations are driven by underlying stochastic processes. It is widely used in computer vision, economics and financial data analysis, engineering, environmental sciences and etc. My thesis mainly addresses the parameter estimation problem of state space model and the applications of it. This thesis starts with a brief introduction and the motivation for studying the problems in the first chapter. The second chapter follows the first one by covering the main tools used to study the topics in the thesis. The general framework of state space models and its related filtering methods, Kalman Filtering for linear Gaussian models and sequential Monte Carlo for other cases, are introduced. The information criteria, as a tool for model selection, are also covered in this chapter. The parameter estimation problem is mainly discussed in the third chapter. Two algorithms under the general framework of Stochastic Approximation methods are proposed. These two algorithms attain much faster convergence rate and less computational cost by variance reduction techniques which utilize the property of sequential Monte Carlo methods. Two numerical examples are examined to compare the performance. Another contribution of Chapter 3 is the application of sequantial Monte Carlo methods in modeling and predicting the bond yield curve with regime-switching Dynamic Nelson-Siegel model. The fourth chapter, which is a joint work with Hao Chang, develops a state space model with regime switching to detect periodically collapsing rational bubbles in stock price. The present-value stock-price model is expressed in a state space form and the bubble process is modeled as a conditional dynamic linear system. The asset-bubble system is estimated by a novel sequential Monte Carlo based method, Mixture Kalman Filter (MKF). The efficacy of the proposed method is examined by simulated observations and real stock index of the US market. Another application of state space model with regime switching is discussed in the fifth chapter, in which real-time Blood Glucose Monitoring problem is addressed using a conditional dynamic linear system modeling. A study with a biostatistical dataset, Star 1 dataset, has shown the advantage of the proposed novel estimation framework. In the sixth chapter, a nonparametric regression model, l1 trend filtering method is discussed. Two trend filtering models out of state space representation, both of which have similar property as l1 trend filtering, are proposed. With the implementation of sequential Monte Carlo methods as well as a greedy Viterbi algorithm, both trend filtering models can operate on-line rather than just on batch data. To better emphasize the two models' improvement in on-line trend filtering, a real world econometrics topic is introduced. The econometric example shows the competence of trend filtering as well as the efficiency of the proposed models.
Advisors/Committee Members: Chen, Rong (chair), Tan, Zhiqiang (internal member), Xiao, Han (internal member), Wu, Yangru (outside member), School of Graduate Studies.
Subjects/Keywords: Stochastic models; Monte Carlo method
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APA ·
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APA (6th Edition):
Wang, Liang, 1. (2018). On parameter estimation of state space models and its applications. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/57751/
Chicago Manual of Style (16th Edition):
Wang, Liang, 1991-. “On parameter estimation of state space models and its applications.” 2018. Doctoral Dissertation, Rutgers University. Accessed January 19, 2021.
https://rucore.libraries.rutgers.edu/rutgers-lib/57751/.
MLA Handbook (7th Edition):
Wang, Liang, 1991-. “On parameter estimation of state space models and its applications.” 2018. Web. 19 Jan 2021.
Vancouver:
Wang, Liang 1. On parameter estimation of state space models and its applications. [Internet] [Doctoral dissertation]. Rutgers University; 2018. [cited 2021 Jan 19].
Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/57751/.
Council of Science Editors:
Wang, Liang 1. On parameter estimation of state space models and its applications. [Doctoral Dissertation]. Rutgers University; 2018. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/57751/
University of Aberdeen
8.
Akura, Mise Johnson.
Simulation of semiconductor devices : the Potential Well Barrier and Planar-doped Potential-Well Barrier diodes.
Degree: PhD, 2020, University of Aberdeen
URL: https://eu03.alma.exlibrisgroup.com/view/delivery/44ABE_INST/12159355520005941
;
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.816223
► Potential Well Barrier (PWB) and the Hybrid PWB/PDB diodes are novel forms of submillimterwave devices with potential applications in detectors and mixers. The diodes have…
(more)
▼ Potential Well Barrier (PWB) and the Hybrid PWB/PDB diodes are novel forms of submillimterwave devices with potential applications in detectors and mixers. The diodes have a potential well inserted between two intrinsic regions of AlGaAs in which charge accumulates to form a triangular potential barrier. The PWB diode is a majority carrier diode with similar operation to the Planar Doped Barrier diodes (PDB) though, with further potential advantages. The PWB diode therefore offers the possibility of providing alternative to applications for which Schottky barrier and PDB diodes are used. The barrier height of the PWB diode depends on other factors such as bias, temperature and length of intrinsic regions. With a voltage responsivity of 6.4 mV/μW at 10 GHz, the diode has demonstrated a promising radio frequency (RF) signal detection potentiality. This thesis describes the experimental design of PWB diodes and analyses their complex operation with respect to the sensitivity of the current-voltage (I-V) characteristics to various design parameters. This reveals a notable dependence of barrier height on the length of the intrinsic regions, depth and size of well and bias. The variation is reflected in the non-constancy of the ideality factor of the device with bias. The study also investigates the temperature operation of the PWB device and it was found that, the barrier height increases with increasing temperature at the rate of 0.093-0.36 meV/K in the temperature range of 200-380 K. Temperature changes cause electrons to diffuse from doped regions of AlGaAs(Si) into the intrinsic regions which modifies the electric field hence, modifying the barrier height. The band offset effect on diode operation was investigated in terms of electron velocity and energy, electric field and density of charge along the intrinsic regions. The hot electron effect on these devices was investigated, with the Monte Carlo (MC) model predicting lower currents flowing through the diode due to back scattering and carrier heating compared to the drift diffusion (DD) models. The MC and DD models have been in use for semiconductor device simulation for several decades and are used extensively in this study. This thesis gives a detailed description of the implementation of both models with emphasis on GaAs based heterostructures. The MC model proves to be more reliable and gives more details than the DD model though, takes a longer time to realise one voltage point. Therefore, in this study, the MC model is used mainly to study the devices where non-local fields and non-homogeneous transport of carriers is of the utmost importance.
Subjects/Keywords: Diodes; Semiconductors; Monte Carlo method
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APA (6th Edition):
Akura, M. J. (2020). Simulation of semiconductor devices : the Potential Well Barrier and Planar-doped Potential-Well Barrier diodes. (Doctoral Dissertation). University of Aberdeen. Retrieved from https://eu03.alma.exlibrisgroup.com/view/delivery/44ABE_INST/12159355520005941 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.816223
Chicago Manual of Style (16th Edition):
Akura, Mise Johnson. “Simulation of semiconductor devices : the Potential Well Barrier and Planar-doped Potential-Well Barrier diodes.” 2020. Doctoral Dissertation, University of Aberdeen. Accessed January 19, 2021.
https://eu03.alma.exlibrisgroup.com/view/delivery/44ABE_INST/12159355520005941 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.816223.
MLA Handbook (7th Edition):
Akura, Mise Johnson. “Simulation of semiconductor devices : the Potential Well Barrier and Planar-doped Potential-Well Barrier diodes.” 2020. Web. 19 Jan 2021.
Vancouver:
Akura MJ. Simulation of semiconductor devices : the Potential Well Barrier and Planar-doped Potential-Well Barrier diodes. [Internet] [Doctoral dissertation]. University of Aberdeen; 2020. [cited 2021 Jan 19].
Available from: https://eu03.alma.exlibrisgroup.com/view/delivery/44ABE_INST/12159355520005941 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.816223.
Council of Science Editors:
Akura MJ. Simulation of semiconductor devices : the Potential Well Barrier and Planar-doped Potential-Well Barrier diodes. [Doctoral Dissertation]. University of Aberdeen; 2020. Available from: https://eu03.alma.exlibrisgroup.com/view/delivery/44ABE_INST/12159355520005941 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.816223
Oregon State University
9.
Ek, Alan R.
A comparison of some estimators in forest sampling.
Degree: PhD, Forest Management, 1969, Oregon State University
URL: http://hdl.handle.net/1957/11041
► The objectives of this study were to ascertain the relative precision and accuracy of certain estimators on several forest populations and to determine if relative…
(more)
▼ The objectives of this study were to ascertain the relative precision and accuracy of certain estimators on several forest populations and to determine if relative performance could be predicted from knowledge of population characteristics. Performance was tested on three populations of trees drawn from stands in northern Ontario. The first population consisted of 479 spruce and fir trees drawn from an uneven aged second growth spruce-fir stand. The second consisted of 309 maple and birch trees from a mature hardwood stand. The third population was composed of 500 red pine drawn from a forty year old plantation. Measurement data obtained for each tree included breast height diameter and total height. For the spruce-fir and hardwood stands, measurements o height and crown area were also obtained from large scale aerial photography. Estimators for total volume, height and crown area were compared for the test populations. Independent or supplementary variables employed were diameter, height and crown area plus several transformations and combinations of these variables. Four sample sizes, n = 4, 12, 24, and 40 were employed for each of 25 dependent-independent variable combinations considered. Simple expansion, ratio, unbiased ratio, regression and unequal probability estimators and stratified sampling with the simple expansion estimator were compared using
Monte Carlo techniques. Relative performance was evaluated using estimates of sampling variances, biases and mean square errors obtained from repeated sampling of the test populations. Results indicated linear and parabolic regression and the Horvitz- Thompson pps estimator were usually among the best three estimators for the two largest sample sizes studied. For the smaller sample sizes, linear egression, the Horvitz- Thompson pps and ratio of means estimators were best. For the estimation of volume using diameter- squared as the supplementary variable, linear regression was the best approach. Parabolic regression using diameter and diameter- squared was equal precise for the larger sample sizes. Major factors affecting the relative performance of estimators were: 1) the form of the dependent-independent variable relationship (linear or curvilinear), 2) the correlation between these variables, 3) the position of the intercept of the population regression line, 4) the variance of the dependent variable given the independent variable and 5) sample size.
Advisors/Committee Members: Dilworth, J. R. (advisor).
Subjects/Keywords: Monte Carlo method
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APA (6th Edition):
Ek, A. R. (1969). A comparison of some estimators in forest sampling. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/11041
Chicago Manual of Style (16th Edition):
Ek, Alan R. “A comparison of some estimators in forest sampling.” 1969. Doctoral Dissertation, Oregon State University. Accessed January 19, 2021.
http://hdl.handle.net/1957/11041.
MLA Handbook (7th Edition):
Ek, Alan R. “A comparison of some estimators in forest sampling.” 1969. Web. 19 Jan 2021.
Vancouver:
Ek AR. A comparison of some estimators in forest sampling. [Internet] [Doctoral dissertation]. Oregon State University; 1969. [cited 2021 Jan 19].
Available from: http://hdl.handle.net/1957/11041.
Council of Science Editors:
Ek AR. A comparison of some estimators in forest sampling. [Doctoral Dissertation]. Oregon State University; 1969. Available from: http://hdl.handle.net/1957/11041
University of Utah
10.
Perry, Daniel James.
Solving geometric constraint problems through Monte Carlo optimization.
Degree: MS;, Computing (School of);, 2008, University of Utah
URL: http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/248/rec/1045
► Geometric constraint problems appear in many situations, including CAD systems, robotics, and computational biology. The complexity of these problems inspires the search for efficient solutions.…
(more)
▼ Geometric constraint problems appear in many situations, including CAD systems, robotics, and computational biology. The complexity of these problems inspires the search for efficient solutions. We have developed a method to solve geometric constraint problems in the areas of geometric computation and robot path planning using configuration space subdivision. In this approach the configuration space, or parameter space, is subdivided and conservatively tested to find collision-free regions, which are then numerically searched for specific path solutions. This thesis presents a new more general approach to this last solution search step, using Monte Carlo optimization. In this new search approach, within a single subdivided area of configuration space, space is randomly sampled and then iteratively resampled based on importance weighting, until convergence to a solution with an acceptable error. We show that by using Monte Carlo optimization to extend configuration space subdivision we can solve higher dimensional problems more efficiently than configuration space subdivision by itself.
Subjects/Keywords: Computer graphics; Geometric programming; Monte Carlo method
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APA (6th Edition):
Perry, D. J. (2008). Solving geometric constraint problems through Monte Carlo optimization. (Masters Thesis). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/248/rec/1045
Chicago Manual of Style (16th Edition):
Perry, Daniel James. “Solving geometric constraint problems through Monte Carlo optimization.” 2008. Masters Thesis, University of Utah. Accessed January 19, 2021.
http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/248/rec/1045.
MLA Handbook (7th Edition):
Perry, Daniel James. “Solving geometric constraint problems through Monte Carlo optimization.” 2008. Web. 19 Jan 2021.
Vancouver:
Perry DJ. Solving geometric constraint problems through Monte Carlo optimization. [Internet] [Masters thesis]. University of Utah; 2008. [cited 2021 Jan 19].
Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/248/rec/1045.
Council of Science Editors:
Perry DJ. Solving geometric constraint problems through Monte Carlo optimization. [Masters Thesis]. University of Utah; 2008. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/248/rec/1045
University of Alberta
11.
Chen, Weifeng.
Motion Planning with Monte Carlo Random Walks.
Degree: MS, Department of Computing Science, 2015, University of Alberta
URL: https://era.library.ualberta.ca/files/cws859f722
► This thesis applies the Monte Carlo Random Walk method (MRW) to motion planning. We explore different global and local restart strategies to improve the performance.…
(more)
▼ This thesis applies the Monte Carlo Random Walk method
(MRW) to motion planning. We explore different global and local
restart strategies to improve the performance. Several new
algorithms based on the MRW approach, such as bidirectional Arvand
and optimizing planner Arvand*, are introduced and compared with
existing motion planning approaches in the Open Motion Planning
Library (OMPL). The results of the experiments show that the Arvand
planners are competitive against other motion planners on the
planning problems provided by OMPL.
Subjects/Keywords: Motion Planning; Random Walk; Monte Carlo method
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APA (6th Edition):
Chen, W. (2015). Motion Planning with Monte Carlo Random Walks. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/cws859f722
Chicago Manual of Style (16th Edition):
Chen, Weifeng. “Motion Planning with Monte Carlo Random Walks.” 2015. Masters Thesis, University of Alberta. Accessed January 19, 2021.
https://era.library.ualberta.ca/files/cws859f722.
MLA Handbook (7th Edition):
Chen, Weifeng. “Motion Planning with Monte Carlo Random Walks.” 2015. Web. 19 Jan 2021.
Vancouver:
Chen W. Motion Planning with Monte Carlo Random Walks. [Internet] [Masters thesis]. University of Alberta; 2015. [cited 2021 Jan 19].
Available from: https://era.library.ualberta.ca/files/cws859f722.
Council of Science Editors:
Chen W. Motion Planning with Monte Carlo Random Walks. [Masters Thesis]. University of Alberta; 2015. Available from: https://era.library.ualberta.ca/files/cws859f722
Oregon State University
12.
Thompson, Steven Kirk.
Adaptive sampling of spatial point processes.
Degree: PhD, Statistics, 1982, Oregon State University
URL: http://hdl.handle.net/1957/41721
► Adaptive sampling designs are those in which observations made during a survey may be taken into account when selecting the sites for further observations. Increases…
(more)
▼ Adaptive sampling designs are those in which
observations made during a survey may be taken into
account when selecting the sites for further observations.
Increases in survey precision may be achieved through
adaptive procedures. The most efficient designs
incorporate flexible sample size along with sequential
selection of sites. In surveys of animal or plant
populations, adaptive sampling techniques may take
advantage of spatial tendencies associated with flocking,
schooling, or patchiness.
The framework of "sampling processes" is introduced
to deal conveniently with sampling theory and methods for
spatial point processes. A sampling process is a
stochastic process that depends on the detectability
functions associated with the survey methods as well as
on the structure of the spatial point process under study.
A realization of a sampling process consists of the
number of points of the point process that an observer
actually detects from different locations in the space.
Sampling theory and methods for spatial point processes
thus become largely a matter of studying the structure
of sampling processes. Many survey techniques for
the assessmemt of plant and animal abundance may be
analyzed within this framework.
Practical adaptive sampling strategies pursued
in this thesis include both design-unbiased and modelunbiased
adaptive sampling strategies The design-unbiased
strategy has the advantage that, even if assumptions
about the population being surveyed are incorrect,
the estimate is still unbiased and we still have an
unbiased estimate of mean square error. The modelunbiased
strategy relies for its unbiasedness on
certain assumptions made about the population model.
The key assumptions required may in fact be realistic
in many spatial survey situations with properly located
sampling sites. The two classes of adaptive strategies
are applied in modified form to bird survey and shrimp
survey methods.
The design-unbiased adaptive strategies used on Alaska shrimp surveys are estimated to give increases
in precision of 24% and 30% over the comparable
nonadaptive procedures of the same expected sampling
effort. Higher gains of 37% and 98% are computed
to be theoretically attainable by refining the adaptive
procedures.
Advisors/Committee Members: Ramsey, Fred L. (advisor), Pierce, Don (committee member).
Subjects/Keywords: Monte Carlo method
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APA (6th Edition):
Thompson, S. K. (1982). Adaptive sampling of spatial point processes. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/41721
Chicago Manual of Style (16th Edition):
Thompson, Steven Kirk. “Adaptive sampling of spatial point processes.” 1982. Doctoral Dissertation, Oregon State University. Accessed January 19, 2021.
http://hdl.handle.net/1957/41721.
MLA Handbook (7th Edition):
Thompson, Steven Kirk. “Adaptive sampling of spatial point processes.” 1982. Web. 19 Jan 2021.
Vancouver:
Thompson SK. Adaptive sampling of spatial point processes. [Internet] [Doctoral dissertation]. Oregon State University; 1982. [cited 2021 Jan 19].
Available from: http://hdl.handle.net/1957/41721.
Council of Science Editors:
Thompson SK. Adaptive sampling of spatial point processes. [Doctoral Dissertation]. Oregon State University; 1982. Available from: http://hdl.handle.net/1957/41721
Oregon State University
13.
Wang, Haiou.
Logic sampling, likelihood weighting and AIS-BN : an exploration of importance sampling.
Degree: MS, Computer Science, 2001, Oregon State University
URL: http://hdl.handle.net/1957/28769
► Logic Sampling, Likelihood Weighting and AIS-BN are three variants of stochastic sampling, one class of approximate inference for Bayesian networks. We summarize the ideas underlying…
(more)
▼ Logic Sampling, Likelihood Weighting and AIS-BN are three variants of
stochastic sampling, one class of approximate inference for Bayesian networks.
We summarize the ideas underlying each algorithm and the relationship among
them. The results from a set of empirical experiments comparing Logic Sampling,
Likelihood Weighting and AIS-BN are presented. We also test the impact
of each of the proposed heuristics and learning
method separately and in combination
in order to give a deeper look into AIS-BN, and see how the heuristics
and learning
method contribute to the power of the algorithm.
Key words: belief network, probability inference, Logic Sampling, Likelihood
Weighting, Importance Sampling, Adaptive Importance Sampling Algorithm for
Evidential Reasoning in Large Bayesian Networks(AIS-BN), Mean Percentage
Error (MPE), Mean Square Error (MSE), Convergence Rate, heuristic, learning
method.
Advisors/Committee Members: D'Ambrosio, Bruce D. (advisor).
Subjects/Keywords: Monte Carlo method
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APA (6th Edition):
Wang, H. (2001). Logic sampling, likelihood weighting and AIS-BN : an exploration of importance sampling. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/28769
Chicago Manual of Style (16th Edition):
Wang, Haiou. “Logic sampling, likelihood weighting and AIS-BN : an exploration of importance sampling.” 2001. Masters Thesis, Oregon State University. Accessed January 19, 2021.
http://hdl.handle.net/1957/28769.
MLA Handbook (7th Edition):
Wang, Haiou. “Logic sampling, likelihood weighting and AIS-BN : an exploration of importance sampling.” 2001. Web. 19 Jan 2021.
Vancouver:
Wang H. Logic sampling, likelihood weighting and AIS-BN : an exploration of importance sampling. [Internet] [Masters thesis]. Oregon State University; 2001. [cited 2021 Jan 19].
Available from: http://hdl.handle.net/1957/28769.
Council of Science Editors:
Wang H. Logic sampling, likelihood weighting and AIS-BN : an exploration of importance sampling. [Masters Thesis]. Oregon State University; 2001. Available from: http://hdl.handle.net/1957/28769
Oregon State University
14.
Miles, Todd L.
Monte Carlo uncertainty reliability and isotope production calculations for a fast reactor.
Degree: MS, Nuclear Engineering, 1991, Oregon State University
URL: http://hdl.handle.net/1957/36711
► With the advent of more powerful, less expensive computing resources, more and more attention is being given to Monte Carlo techniques in design application. In…
(more)
▼ With the advent of more powerful, less expensive computing
resources, more and more attention is being given to
Monte Carlo
techniques in design application. In many circles, stochastic
solutions are considered the next best thing to experimental data.
Statistical uncertainties in
Monte Carlo calculations are typically
determined by the first and second moments of the tally. For certain
types of calculations, there is concern that the uncertainty estimate
is significantly non-conservative. This is typically seen in reactor
eigenvalue problems where the uncertainty estimate is aggravated by
the generation-to-generation fission source. It has been speculated
that optimization of the random walk, through biasing techniques, may
increase the non-conservative nature of the uncertainty estimate. A
series of calculations are documented here which quantify the
reliability of the
Monte Carlo Neutron and Photon (MCNP) mean and
uncertainty estimates by comparing these estimates to the true mean.
These calculations were made with a liquid metal fast reactor model,
but every effort was made to isolate the statistical nature of the
uncertainty estimates so that the analysis of the reliability of the
MCNP estimates should be relevant for small thermal reactors as well.
Also, preliminary reactor physics calculations for two different
special isotope production test assemblies for irradiation in the Fast
Flux Test Facility (FFTF) were performed using MCNP and are documented
here. The effect of an yttrium-hydride moderator to tailor the
neutron flux incident on the targets to maximize isotope production
for different designs in different locations within the reactor is
discussed. These calculations also demonstrate the useful application
of MCNP in design iterations by utilizing many of the codes features.
Advisors/Committee Members: Binney, Stephen E. (advisor).
Subjects/Keywords: Monte Carlo method
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APA (6th Edition):
Miles, T. L. (1991). Monte Carlo uncertainty reliability and isotope production calculations for a fast reactor. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/36711
Chicago Manual of Style (16th Edition):
Miles, Todd L. “Monte Carlo uncertainty reliability and isotope production calculations for a fast reactor.” 1991. Masters Thesis, Oregon State University. Accessed January 19, 2021.
http://hdl.handle.net/1957/36711.
MLA Handbook (7th Edition):
Miles, Todd L. “Monte Carlo uncertainty reliability and isotope production calculations for a fast reactor.” 1991. Web. 19 Jan 2021.
Vancouver:
Miles TL. Monte Carlo uncertainty reliability and isotope production calculations for a fast reactor. [Internet] [Masters thesis]. Oregon State University; 1991. [cited 2021 Jan 19].
Available from: http://hdl.handle.net/1957/36711.
Council of Science Editors:
Miles TL. Monte Carlo uncertainty reliability and isotope production calculations for a fast reactor. [Masters Thesis]. Oregon State University; 1991. Available from: http://hdl.handle.net/1957/36711
Cornell University
15.
Petruzielo, Frank.
Quantum Monte Carlo Developments For Discrete And Continuous Spaces.
Degree: PhD, Physics, 2012, Cornell University
URL: http://hdl.handle.net/1813/31420
► This thesis details four research projects related to zero temperature quantum Monte Carlo. Chapters 2-4 focus on continuum quantum Monte Carlo, and specifically its application…
(more)
▼ This thesis details four research projects related to zero temperature quantum
Monte Carlo. Chapters 2-4 focus on continuum quantum
Monte Carlo, and specifically its application to molecular systems; whereas Chapter 5 focuses on quantum
Monte Carlo in a discrete space. Chapter 2 focuses on improving upon the single-particle basis functions employed in quantum
Monte Carlo calculations for molecular systems. For calculations requiring non-diverging pseudopotentials, a class of functions is introduced that is capable of producing the short- and long-range asymptotic behavior of the exact wavefunction. It is demonstrated that this form of basis function produces superior accuracy and efficiency when compared to the basis sets typically employed in quantum
Monte Carlo. Although the basis functions introduced in Chapter 2 are capable of producing superior results, it is necessary that the parameters of the functional form are near-optimal for the full potential of the functions to be realized. Chapter 3 introduces a simple yet general
method for constructing basis sets of a desired functional form appropriate for molecular electronic structure calculations. A standard basis set is created for each of the elements from hydrogen to argon. Chapter 4 explores the effect of different aspects of the trial wavefunction on the accuracy of quantum
Monte Carlo. By systematically testing the effect of the basis size, orbital quality, and determinant expansion quality, this work offers guidance to quantum
Monte Carlo practitioners for achieving results to within chemical accuracy of experiment. In Chapter 5, semistochastic projection, a hybrid of deterministic and stochastic projection, is introduced for finding the dominant eigenvalue and eigenvector of a matrix. This
method, like stochastic projection, is applicable to matrices well beyond the size that can be handled by deterministic methods. Semistochastic projection improves over stochastic projection by significantly reducing the computational time required to obtain the eigenvalue within a specified statistical uncertainty. After the semistochastic projection
method is introduced, it is applied to determine the ground state energy of the Hamiltonian in a discrete basis. This special case of semistochastic projection, dubbed semistochastic quantum
Monte Carlo, is shown to be orders of magnitude more efficient than stochastic quantum
Monte Carlo.
Advisors/Committee Members: Umrigar, Cyrus Jehangir (chair), Arias, Tomas A. (committee member), McEuen, Paul L. (committee member), Chan, Garnet (committee member).
Subjects/Keywords: Quantum Monte Carlo; qmc; Power Method
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APA (6th Edition):
Petruzielo, F. (2012). Quantum Monte Carlo Developments For Discrete And Continuous Spaces. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/31420
Chicago Manual of Style (16th Edition):
Petruzielo, Frank. “Quantum Monte Carlo Developments For Discrete And Continuous Spaces.” 2012. Doctoral Dissertation, Cornell University. Accessed January 19, 2021.
http://hdl.handle.net/1813/31420.
MLA Handbook (7th Edition):
Petruzielo, Frank. “Quantum Monte Carlo Developments For Discrete And Continuous Spaces.” 2012. Web. 19 Jan 2021.
Vancouver:
Petruzielo F. Quantum Monte Carlo Developments For Discrete And Continuous Spaces. [Internet] [Doctoral dissertation]. Cornell University; 2012. [cited 2021 Jan 19].
Available from: http://hdl.handle.net/1813/31420.
Council of Science Editors:
Petruzielo F. Quantum Monte Carlo Developments For Discrete And Continuous Spaces. [Doctoral Dissertation]. Cornell University; 2012. Available from: http://hdl.handle.net/1813/31420
Oregon State University
16.
Eccleston, Bradley R.
An inherently parallel Monte Carlo linear systems solver applied to neutron diffusion equations.
Degree: MS, Nuclear Engineering, 2000, Oregon State University
URL: http://hdl.handle.net/1957/33068
► Linear solvers are often used to solve neutron diffusion problems. These tools have two significant shortcomings. First, parallel implementations provide only a modest speedup. The…
(more)
▼ Linear solvers are often used to solve neutron diffusion problems. These tools have
two significant shortcomings. First, parallel implementations provide only a modest
speedup. The operations cannot be divided cleanly between processors. Second, for
large matrices they can be very slow. Our primary goal is to find a new
method for
solving linear systems which reduces the impact of these two problems.
In this study, we consider a different kind of approach. We employ a
Monte Carlo
algorithm in two dimensions to solve our linear systems probabilistic ally. We develop
our probabilistic model and describe the formulation of our linear system. We also
discuss our random sampling technique in some detail. We tally our solutions for
both the forward and adjoint problems using path length and last event estimators.
Computational results are compared to analytic and numerical benchmark solutions
for three metrics: accuracy, convergence, and efficiency. The results detailed
herein indicate that the
method we have developed can be competitive with common
linear solvers.
We develop an on-the-fly algorithm as well, which is intended to make more efficient
use of our computing resources. While this algorithm exhibits longer run-times,
it is far less taxing on the system memory.
Advisors/Committee Members: Palmer, Todd S. (advisor), Reyes, Jose (committee member).
Subjects/Keywords: Monte Carlo method
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APA (6th Edition):
Eccleston, B. R. (2000). An inherently parallel Monte Carlo linear systems solver applied to neutron diffusion equations. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/33068
Chicago Manual of Style (16th Edition):
Eccleston, Bradley R. “An inherently parallel Monte Carlo linear systems solver applied to neutron diffusion equations.” 2000. Masters Thesis, Oregon State University. Accessed January 19, 2021.
http://hdl.handle.net/1957/33068.
MLA Handbook (7th Edition):
Eccleston, Bradley R. “An inherently parallel Monte Carlo linear systems solver applied to neutron diffusion equations.” 2000. Web. 19 Jan 2021.
Vancouver:
Eccleston BR. An inherently parallel Monte Carlo linear systems solver applied to neutron diffusion equations. [Internet] [Masters thesis]. Oregon State University; 2000. [cited 2021 Jan 19].
Available from: http://hdl.handle.net/1957/33068.
Council of Science Editors:
Eccleston BR. An inherently parallel Monte Carlo linear systems solver applied to neutron diffusion equations. [Masters Thesis]. Oregon State University; 2000. Available from: http://hdl.handle.net/1957/33068
Oregon State University
17.
Pennathur, Shankar S.
Monte Carlo device modeling applications on parallel computers.
Degree: PhD, Electrical and Computer Engineering, 1995, Oregon State University
URL: http://hdl.handle.net/1957/34627
► One of the ways of countering the ever increasing computational requirements in the simulation and modeling of electrical and electromagnetic devices and phenomena, is the…
(more)
▼ One of the ways of countering the ever increasing computational requirements
in the simulation and modeling of electrical and electromagnetic devices and phenomena,
is the development of simulation and modeling tools on parallel computing
platforms. In this thesis, a previously developed
Monte Carlo parallel device simulator
is utilized, enhanced, and evolved, to render it applicable to the modeling and
simulation of certain key applications. A three-dimensional
Monte Carlo simulation
of GaAs MESFETs is first presented to study small-geometry effects. Then, a finite-difference
time-domain numerical solution of Maxwell's equations is developed and
coupled to
Monte Carlo particle simulation, to illustrate a photoconductive switching
experiment.
As the third and major application of the
Monte Carlo code, high-field electron
transport simulations of the ZnS phosphor of AC thin film electroluminescent
devices are presented. A full band structure (of ZnS) computed using a nonlocal
empirical pseudopotential technique is included in the
Monte Carlo simulation. The
band structure is computed using a set of form factors, that were tuned to fit experimentally
measured critical point transitions in ZnS. The
Monte Carlo algorithms
pertaining to the full band model are developed. Most of the scattering mechanisms,
pertinent to ZnS are included to model the electron kinetics. The hot electron distributions
are computed as a function of the electric field in the ZnS phosphor layer,
to estimate the percentage of hot electrons that could potentially contribute to excitation
of luminescent impurity centers in the ZnS phosphor layer. Impact excitation,
a key process in electroluminescence, is included in the
Monte Carlo simulation to estimate the quantum yield of the devices. Preliminary results based on the full band k-space model exhibit experimentally observed trends.
Advisors/Committee Members: Goodnick, Stephen M. (advisor), Koc, Cetin (committee member).
Subjects/Keywords: Monte Carlo method
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APA (6th Edition):
Pennathur, S. S. (1995). Monte Carlo device modeling applications on parallel computers. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/34627
Chicago Manual of Style (16th Edition):
Pennathur, Shankar S. “Monte Carlo device modeling applications on parallel computers.” 1995. Doctoral Dissertation, Oregon State University. Accessed January 19, 2021.
http://hdl.handle.net/1957/34627.
MLA Handbook (7th Edition):
Pennathur, Shankar S. “Monte Carlo device modeling applications on parallel computers.” 1995. Web. 19 Jan 2021.
Vancouver:
Pennathur SS. Monte Carlo device modeling applications on parallel computers. [Internet] [Doctoral dissertation]. Oregon State University; 1995. [cited 2021 Jan 19].
Available from: http://hdl.handle.net/1957/34627.
Council of Science Editors:
Pennathur SS. Monte Carlo device modeling applications on parallel computers. [Doctoral Dissertation]. Oregon State University; 1995. Available from: http://hdl.handle.net/1957/34627
Oregon State University
18.
Huster, Carl R.
A parallel/vector Monte Carlo MESFET model for shared memory machines.
Degree: MS, Electrical and Computer Engineering, 1992, Oregon State University
URL: http://hdl.handle.net/1957/37306
► The parallelization and vectorization of Monte Carlo algorithms for modelling charge transport in semiconductor devices are considered. The standard ensemble Monte Carlo simulation of a…
(more)
▼ The parallelization and vectorization of
Monte Carlo algorithms for modelling
charge transport in semiconductor devices are considered. The standard ensemble
Monte Carlo simulation of a three parabolic band model for GaAs is first
presented as partial verification of the simulation. The model includes scattering
due to acoustic, polar-optical and intervalley phonons. This ensemble simulation
is extended to a full device simulation by the addition of real-space positions, and
solution for the electrostatic potential from the charge density distribution using
Poisson's equation. Poisson's equation was solved using the cloud-in-cell scheme
for charge assignment, finite differences for spatial discretization, and simultaneous
over-relaxation for solution. The particle movement (acceleration and scattering)
and the solution of Poisson's are both separately parallelized. The parallelization
techniques used in both parts are based on the use of semaphores for the protection
of shared resources and processor synchronization. The speed increase results for
parallelization with and without vectorization on the Ardent Titan II are presented.
The results show saturation due to memory access limitations at a speed increase of
approximately 3.3 times the serial case when four processors are used. Vectorization
alone provides a speed increase of approximately 1.6 times when compared with the
nonvectorized serial case. It is concluded that the speed increase achieved with
the Titan II is limited by memory access considerations and that this limitation is
likely to plague shared memory machines for the forseeable future. For the program
presented here, vectorization is concluded to provide a better speed increase
per day of development time than parallelization. However, when vectorization is
used in conjunction with parallelization, the speed increase due to vectorization is
negligible.
Advisors/Committee Members: Goodnick, Stephen M. (advisor).
Subjects/Keywords: Monte Carlo method
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Manager
APA (6th Edition):
Huster, C. R. (1992). A parallel/vector Monte Carlo MESFET model for shared memory machines. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/37306
Chicago Manual of Style (16th Edition):
Huster, Carl R. “A parallel/vector Monte Carlo MESFET model for shared memory machines.” 1992. Masters Thesis, Oregon State University. Accessed January 19, 2021.
http://hdl.handle.net/1957/37306.
MLA Handbook (7th Edition):
Huster, Carl R. “A parallel/vector Monte Carlo MESFET model for shared memory machines.” 1992. Web. 19 Jan 2021.
Vancouver:
Huster CR. A parallel/vector Monte Carlo MESFET model for shared memory machines. [Internet] [Masters thesis]. Oregon State University; 1992. [cited 2021 Jan 19].
Available from: http://hdl.handle.net/1957/37306.
Council of Science Editors:
Huster CR. A parallel/vector Monte Carlo MESFET model for shared memory machines. [Masters Thesis]. Oregon State University; 1992. Available from: http://hdl.handle.net/1957/37306
Oregon State University
19.
Shepard, Lonnie B.
Monte Carlo evaluation of empirical approximation of mixing distributions.
Degree: PhD, Statistics, 1973, Oregon State University
URL: http://hdl.handle.net/1957/44572
Subjects/Keywords: Monte Carlo method
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APA (6th Edition):
Shepard, L. B. (1973). Monte Carlo evaluation of empirical approximation of mixing distributions. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/44572
Chicago Manual of Style (16th Edition):
Shepard, Lonnie B. “Monte Carlo evaluation of empirical approximation of mixing distributions.” 1973. Doctoral Dissertation, Oregon State University. Accessed January 19, 2021.
http://hdl.handle.net/1957/44572.
MLA Handbook (7th Edition):
Shepard, Lonnie B. “Monte Carlo evaluation of empirical approximation of mixing distributions.” 1973. Web. 19 Jan 2021.
Vancouver:
Shepard LB. Monte Carlo evaluation of empirical approximation of mixing distributions. [Internet] [Doctoral dissertation]. Oregon State University; 1973. [cited 2021 Jan 19].
Available from: http://hdl.handle.net/1957/44572.
Council of Science Editors:
Shepard LB. Monte Carlo evaluation of empirical approximation of mixing distributions. [Doctoral Dissertation]. Oregon State University; 1973. Available from: http://hdl.handle.net/1957/44572
University of Delaware
20.
Youse, Bryan.
High performance exact linear algebra.
Degree: PhD, University of Delaware, Department of Computer and Information Sciences, 2015, University of Delaware
URL: http://udspace.udel.edu/handle/19716/17203
► This is a study in exact computational linear algebra consisting of two parts. First the problem of computing the p -rank of an integer matrix…
(more)
▼ This is a study in exact computational linear algebra consisting of two parts. First the problem of computing the p -rank of an integer matrix with particular emphasis on the case when the matrix is large and dense, the rank is relatively small, and the prime is tiny (such as p =3). Second is a numeric-symbolic rational linear system solver using an iterative refinement approach. The rank problem arises from the study of difference sets of finite groups and their corresponding strongly regular graphs. The ranks of the adjacency matrices representing these graphs are sought. These matrices, defined in sequences, grow too large for previously known rank algorithms. Prior solutions either require too much memory or are too computationally costly for the scenario of a large matrix with much lower rank. The expected low rank invites us to find find a space- and time-efficient algorithm for this special case. The heuristic methods detailed here form a
Monte Carlo algorithm which is essentially optimal when the rank is sufficiently small. Several tools are used in concert with the new algorithm which are vital in computing the rank of some of the larger matrices of the sequences, which contain on the order of peta-entries. A suite of finite-field data compression tools is discussed. Additionally, a framework for distributed- and shared-memory parallelism is detailed. The rational linear system solver produces, for each entry of the solution vector, a rational approximation with denominator a power of two. From this representation, the correct rational entry can be reconstructed. Our
method is a numeric-symbolic hybrid in that it uses an approximate numeric solver at each iteration together with a symbolic (exact arithmetic) residual computation and symbolic rational reconstruction. It is able to be output sensitive (i.e. terminate early) with provably correct result. Alternatively, the algorithm may be used without the rational reconstruction to obtain an extended precision floating point approximation of any specified precision. The chief contributions of the
method and implementation are confirmed continuation, highly tuned rational reconstruction, and fast, robust performance. All work contained herein contributes to the LinBox library for exact linear algebra.
Advisors/Committee Members: Saunders, B. David.
Subjects/Keywords: Algebras, Linear.; Monte Carlo method.; Matrices.; Algorithms.
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Manager
APA (6th Edition):
Youse, B. (2015). High performance exact linear algebra. (Doctoral Dissertation). University of Delaware. Retrieved from http://udspace.udel.edu/handle/19716/17203
Chicago Manual of Style (16th Edition):
Youse, Bryan. “High performance exact linear algebra.” 2015. Doctoral Dissertation, University of Delaware. Accessed January 19, 2021.
http://udspace.udel.edu/handle/19716/17203.
MLA Handbook (7th Edition):
Youse, Bryan. “High performance exact linear algebra.” 2015. Web. 19 Jan 2021.
Vancouver:
Youse B. High performance exact linear algebra. [Internet] [Doctoral dissertation]. University of Delaware; 2015. [cited 2021 Jan 19].
Available from: http://udspace.udel.edu/handle/19716/17203.
Council of Science Editors:
Youse B. High performance exact linear algebra. [Doctoral Dissertation]. University of Delaware; 2015. Available from: http://udspace.udel.edu/handle/19716/17203
Queen Mary, University of London
21.
Duncan, H. D.
Modelling local order in organic and metal-organic ferroic materials using the reverse Monte Carlo method and total neutron scattering.
Degree: PhD, 2016, Queen Mary, University of London
URL: http://qmro.qmul.ac.uk/xmlui/handle/123456789/23107
;
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.765787
► The ordering processes of ferroelectric and multiferroic materials were investigated via neutron total scattering and the reverse Monte Carlo method. The results presented in this…
(more)
▼ The ordering processes of ferroelectric and multiferroic materials were investigated via neutron total scattering and the reverse Monte Carlo method. The results presented in this thesis are from three materials where ferroelectric behaviour is a result of ordering of molecular groups rather than individual atoms. Two of the materials are metal-organic frameworks, three dimensional cage-like structures with guest ions inside the pores; the third material, is a room temperature ferroelectric. In the high-temperature phase of dimethylammonium manganese formate, the framework distorts around the disordered cation, and the cations form shorter hydrogen bonds with the formate framework than the average structure suggests. Framework deformations became increasingly unfavourable as the material cooled. The cations continue to order as the material was cooled below Tc. Analysis of the high-temperature phase atomistic configurations showed that in addition to the three known orientations about the threefold axis, a significant minority of the cations lie mid-way between these positions, a feature which could not have been observed via standard crystallographic techniques. The mechanisms for thermal expansion of potassium imidazolium hexacyanoferrate change between the intermediate-temperature phase and the high-temperature phase. In the hightemperature phase the framework distorts around the disordered guest, but in the intermediatetemperature phase the framework stiffens. I propose that the temperature of the dielectric transition is dependent of the volume inside the framework, but that the temperature range of the intermediate-temperature phase is dependent on the rate of contraction of the framework around the guest cation. For triglycine sulfate no correlation was observed between the orientation of the polar molecules and the motion of the intermediate deuterium. Furthermore, in the high temperature phase the atomistic configurations produced models with macroscopic polarisation. I propose that this material forms domains of aligned polar molecules above Tc and that these domains are larger than the atomistic configurations.
Subjects/Keywords: Physics and Astronomy; reverse Monte Carlo method
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APA (6th Edition):
Duncan, H. D. (2016). Modelling local order in organic and metal-organic ferroic materials using the reverse Monte Carlo method and total neutron scattering. (Doctoral Dissertation). Queen Mary, University of London. Retrieved from http://qmro.qmul.ac.uk/xmlui/handle/123456789/23107 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.765787
Chicago Manual of Style (16th Edition):
Duncan, H D. “Modelling local order in organic and metal-organic ferroic materials using the reverse Monte Carlo method and total neutron scattering.” 2016. Doctoral Dissertation, Queen Mary, University of London. Accessed January 19, 2021.
http://qmro.qmul.ac.uk/xmlui/handle/123456789/23107 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.765787.
MLA Handbook (7th Edition):
Duncan, H D. “Modelling local order in organic and metal-organic ferroic materials using the reverse Monte Carlo method and total neutron scattering.” 2016. Web. 19 Jan 2021.
Vancouver:
Duncan HD. Modelling local order in organic and metal-organic ferroic materials using the reverse Monte Carlo method and total neutron scattering. [Internet] [Doctoral dissertation]. Queen Mary, University of London; 2016. [cited 2021 Jan 19].
Available from: http://qmro.qmul.ac.uk/xmlui/handle/123456789/23107 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.765787.
Council of Science Editors:
Duncan HD. Modelling local order in organic and metal-organic ferroic materials using the reverse Monte Carlo method and total neutron scattering. [Doctoral Dissertation]. Queen Mary, University of London; 2016. Available from: http://qmro.qmul.ac.uk/xmlui/handle/123456789/23107 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.765787
University of Oxford
22.
Bester, Dirk W.
Joint survival models : a Bayesian investigation of longitudinal volatility.
Degree: PhD, 2014, University of Oxford
URL: http://ora.ox.ac.uk/objects/uuid:35db576b-10a7-4e49-a04d-dee99544227d
;
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.711721
► In this thesis, we investigate joint models of longitudinal and time-to-event data. We extend the current literature by developing a model that assigns subject-specific variance…
(more)
▼ In this thesis, we investigate joint models of longitudinal and time-to-event data. We extend the current literature by developing a model that assigns subject-specific variance to the longitudinal process and links this variance to the survival outcome. During development we provide the theoretical definition of the model and its properties, and explore the practical implications for estimating the parameters. We use Markov Chain Monte Carlo (MCMC) methods, and compare the different samplers used in similar models in the literature with our custom MCMC algorithm, written in C++. We use the Deviance Information Criterion to perform model comparisons, and we formalise suggestions from the literature to use posterior predictive model checking to construct a goodness-of-fit test for our model. We use the model on two real-world datasets to investigate claims relating to the importance of blood pressure volatility on stroke risk, and examine the consequences of ignoring measurement error. We amend our model to accommodate competing risk, time-dependent baseline hazard rates, and bivariate longitudinal processes - at which point we update our MCMC samplers and identify the issues. Finally, we use our code in a separate, but related, collaboration with other researchers to analyse repeated counts data.
Subjects/Keywords: 519.2; Survival – Longitudinal studies; Monte Carlo method
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APA (6th Edition):
Bester, D. W. (2014). Joint survival models : a Bayesian investigation of longitudinal volatility. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:35db576b-10a7-4e49-a04d-dee99544227d ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.711721
Chicago Manual of Style (16th Edition):
Bester, Dirk W. “Joint survival models : a Bayesian investigation of longitudinal volatility.” 2014. Doctoral Dissertation, University of Oxford. Accessed January 19, 2021.
http://ora.ox.ac.uk/objects/uuid:35db576b-10a7-4e49-a04d-dee99544227d ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.711721.
MLA Handbook (7th Edition):
Bester, Dirk W. “Joint survival models : a Bayesian investigation of longitudinal volatility.” 2014. Web. 19 Jan 2021.
Vancouver:
Bester DW. Joint survival models : a Bayesian investigation of longitudinal volatility. [Internet] [Doctoral dissertation]. University of Oxford; 2014. [cited 2021 Jan 19].
Available from: http://ora.ox.ac.uk/objects/uuid:35db576b-10a7-4e49-a04d-dee99544227d ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.711721.
Council of Science Editors:
Bester DW. Joint survival models : a Bayesian investigation of longitudinal volatility. [Doctoral Dissertation]. University of Oxford; 2014. Available from: http://ora.ox.ac.uk/objects/uuid:35db576b-10a7-4e49-a04d-dee99544227d ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.711721
Uppsala University
23.
Eriksson, Andreas.
Efficient Modelling and Performance Analysis of Wideband Communication Receivers.
Degree: Signals and Systems Group, 2011, Uppsala University
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-148400
► This thesis deals with Symbol Error Rate (SER)-simulation of wireless communications and its application into throughput analysis of UltraWideband (UWB) systems. The SERs will…
(more)
▼ This thesis deals with Symbol Error Rate (SER)-simulation of wireless communications and its application into throughput analysis of UltraWideband (UWB) systems. The SERs will be simulated in C++ using the Monte Carlo method and when some are calculated, the rest will be estimated using a novel extrapolation method. These SER values will be very accurate and in this thesis go as low as 1.0e-14. Reaching that low values would otherwise be impossible using the traditional Monte Carlo method, because of very large computation time. However, the novel extrapolation method, can simulate a SER-curve in less than 30 seconds. It is assumed that the noise belongs to the Generalized Gaussian distribution family and among them noise from the Normal distribution (Gaussian noise) gives the best result. It is to be noted that Gaussian noise is the most commonly used in digital communication simulations. Although the program is used for throughput analysis of UWB, the program could easily be adapted to various signals. In this thesis, throughput analysis means a plot with symbol rate vs distance. From any given symbols, the user can, with a desired minimum SER, generate an extrapolated SER-curve and see what symbol rate can be achieved by the system, while obeying power constraints of signals imposed by international laws. The developed program is, by comparing with published theoretical results, tested for QAM and PSK cases, but can easily be extended to UWB systems.
Subjects/Keywords: performance analysis; ultra wideband; monte carlo method
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Export
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Manager
APA (6th Edition):
Eriksson, A. (2011). Efficient Modelling and Performance Analysis of Wideband Communication Receivers. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-148400
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Eriksson, Andreas. “Efficient Modelling and Performance Analysis of Wideband Communication Receivers.” 2011. Thesis, Uppsala University. Accessed January 19, 2021.
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-148400.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Eriksson, Andreas. “Efficient Modelling and Performance Analysis of Wideband Communication Receivers.” 2011. Web. 19 Jan 2021.
Vancouver:
Eriksson A. Efficient Modelling and Performance Analysis of Wideband Communication Receivers. [Internet] [Thesis]. Uppsala University; 2011. [cited 2021 Jan 19].
Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-148400.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Eriksson A. Efficient Modelling and Performance Analysis of Wideband Communication Receivers. [Thesis]. Uppsala University; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-148400
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
East Carolina University
24.
Wu, Tong.
Self-Checked Metamorphic Testing of Monte Carlo
Simulation.
Degree: 2011, East Carolina University
URL: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=14532
► Photon propagation in biological tissues can be modeled with Monte Carlo simulations numerically. However testing a such program is difficult due to the unknown character…
(more)
▼ Photon propagation in biological tissues can be
modeled with
Monte Carlo simulations numerically. However testing a
such program is difficult due to the unknown character of the test
oracles. Although approaches based on Beer-Lambert law van de
Hulst's table or Radiative Transfer Equation (RTE) can be used for
testing the
Monte Carlo modeling programs these approaches are only
applied to the programs that are designed for homogeneous media. A
rigorous way for testing the
Monte Carlo modeling programs for
heterogeneous media is needed. Metamorphic testing as an
effective approach for testing systems that do not have test
oracles is one of possible supplementary approaches to test a
Monte
Carlo modeling program for heterogeneous media. In metamorphic
testing instead of verifying the correctness of a test output the
satisfaction of a metamorphic relation of the test outputs is
checked. If a violation of the metamorphic relation is found the
system implementation must have some faults. However checking only
the metamorphic relations is not good enough to ensure the testing
quality. Randomly or accidently generated incorrect outputs may
satisfy a metamorphic relation as well. Therefore it is necessary
to provide a systematic approach to measure the test effectiveness
of a metamorphic testing to choose metamorphic relations and to
generate test input data. In this thesis we propose a new
approach called self-checked metamorphic testing. In our new
approach the original metamorphic testing is extended with the
evaluation of the adequacy of testing coverage criteria to measure
the quality of a metamorphic testing to guide the creation of
metamorphic relations to generate testing inputs and to investigate
the found exceptions. The effectiveness of this approach has been
demonstrated through testing a parallel
Monte Carlo modeling
program we developed for simulating photon propagation in human
skins. This thesis contains three parts of work. In first part
the enhanced
Monte Carlo modeling program was used to preliminarily
study the relationship between the height of the collection lens
and the contrast values of the reflectance image of the system. In
second part the homogenous part of the
Monte Carlo program was
validated with van de Hulst's table
method which compares the
simulation results with the calculated values on van de Hulst's
table. The third and the main part of the thesis is applying the
self-checked metamorphic testing approach to test the
Monte Carlo
modeling program. ; Computer science, metamorphic testing,
Monte Carlo modeling, test adequacy criteria
Advisors/Committee Members: Junhua Ding (advisor).
Subjects/Keywords: Monte Carlo method; Computer programs – Testing
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APA (6th Edition):
Wu, T. (2011). Self-Checked Metamorphic Testing of Monte Carlo
Simulation. (Masters Thesis). East Carolina University. Retrieved from http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=14532
Chicago Manual of Style (16th Edition):
Wu, Tong. “Self-Checked Metamorphic Testing of Monte Carlo
Simulation.” 2011. Masters Thesis, East Carolina University. Accessed January 19, 2021.
http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=14532.
MLA Handbook (7th Edition):
Wu, Tong. “Self-Checked Metamorphic Testing of Monte Carlo
Simulation.” 2011. Web. 19 Jan 2021.
Vancouver:
Wu T. Self-Checked Metamorphic Testing of Monte Carlo
Simulation. [Internet] [Masters thesis]. East Carolina University; 2011. [cited 2021 Jan 19].
Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=14532.
Council of Science Editors:
Wu T. Self-Checked Metamorphic Testing of Monte Carlo
Simulation. [Masters Thesis]. East Carolina University; 2011. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=14532
University of Aberdeen
25.
Stephen, Alexander.
Enhancement of thermionic cooling using Monte Carlo simulation.
Degree: PhD, 2014, University of Aberdeen
URL: https://eu03.alma.exlibrisgroup.com/view/delivery/44ABE_INST/12153448800005941
;
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.606453
► Advances in the field of semiconductor physics have allowed for rapid development of new, more powerful devices. The new fabrication techniques allow for reductions in…
(more)
▼ Advances in the field of semiconductor physics have allowed for rapid development of new, more powerful devices. The new fabrication techniques allow for reductions in device geometry, increasing the possible wafer packing density. The increased output power comes with the price of excessive heat generation, the removal of which proves problematic at such scales for conventional cooling systems. Consequently, there is a rising demand for new cooling systems, preferably those that do not add large amount of additional bulk to the system. One promising system is the thermoelectric (TE) cooler which is small enough to be integrated onto the device wafer. Unlike more traditional gas and liquid coolers, TE coolers do not require moving parts or external liquid reservoirs, relying only on the flow of electrons to transport heat energy away from the device. Although TE cooling provides a neat solution for the extraction of heat from micron scale devices, it can normally only produce small amounts of cooling of 1-2 Kelvin, limiting its application to low power devices. This research aimed to find ways to enhance the performance of the TE cooler using detailed simulation analysis. For this, a self consistent, semi-classical, ensemble Monte Carlo model was designed to investigate the operation of the TE cooler at a higher level than would be possible with experimental measurements alone. As part of its development, the model was validated on a variety of devices including a Gunn diode and two micro-cooler designs from the literature, one which had been previously simulated and another which had been experimentally analysed. When applied to the TE cooler of focus, novel operational data was obtained and signification improvements in cooling power were found with only minor alterations to the device structure and without need for an increase in volume.
Subjects/Keywords: 620; Thermoelectric cooling; Monte Carlo method
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Export
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APA (6th Edition):
Stephen, A. (2014). Enhancement of thermionic cooling using Monte Carlo simulation. (Doctoral Dissertation). University of Aberdeen. Retrieved from https://eu03.alma.exlibrisgroup.com/view/delivery/44ABE_INST/12153448800005941 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.606453
Chicago Manual of Style (16th Edition):
Stephen, Alexander. “Enhancement of thermionic cooling using Monte Carlo simulation.” 2014. Doctoral Dissertation, University of Aberdeen. Accessed January 19, 2021.
https://eu03.alma.exlibrisgroup.com/view/delivery/44ABE_INST/12153448800005941 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.606453.
MLA Handbook (7th Edition):
Stephen, Alexander. “Enhancement of thermionic cooling using Monte Carlo simulation.” 2014. Web. 19 Jan 2021.
Vancouver:
Stephen A. Enhancement of thermionic cooling using Monte Carlo simulation. [Internet] [Doctoral dissertation]. University of Aberdeen; 2014. [cited 2021 Jan 19].
Available from: https://eu03.alma.exlibrisgroup.com/view/delivery/44ABE_INST/12153448800005941 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.606453.
Council of Science Editors:
Stephen A. Enhancement of thermionic cooling using Monte Carlo simulation. [Doctoral Dissertation]. University of Aberdeen; 2014. Available from: https://eu03.alma.exlibrisgroup.com/view/delivery/44ABE_INST/12153448800005941 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.606453
Montana State University
26.
Lerch, Michael David.
Statistics in the presence of cost : cost-considerate variable selection and MCMC convergence diagnostics.
Degree: PhD, College of Letters & Science, 2016, Montana State University
URL: https://scholarworks.montana.edu/xmlui/handle/1/12371
► The overarching objective of this research is to address and recognize the cost-benefit trade-off inherent in much of statistics. We identify two places where such…
(more)
▼ The overarching objective of this research is to address and recognize the cost-benefit trade-off inherent in much of statistics. We identify two places where such a balance is present for researchers: variable selection and Markov chain
Monte Carlo (MCMC) sampling. An easily identifiable source of cost in science occurs when taking measurements. Researchers measure variables to estimate another quantity based on a model. When model building, researchers may have access to a large number of variables to include in the model and may consider using a subset of the variables so that future uses of the model need only measure this subset rather than all variables. The researchers are incentivized to proceed in this manner if some variables are prohibitively expensive to measure for future uses of the model. In this research, we present a new algorithm for cost-considerate variable selection in linear modeling when confronted with this problem. Since overfitting may be a danger when many variables at the disposal of the researcher, we build on the LARS and Lasso algorithms to perform cost-based variable selection in concert with model regularization. In MCMC sampling for Bayesian statistics, the cost-benefit trade-off is unavoidable. Researchers sampling from a posterior distribution must run a sampler for some number of iterations before finally stopping the sampler to make inference on the finite number of samples drawn. In this situation, the cost to be reduced is time to run the sampler while realizing the longer the sampler is run, the better the convergence. Time may not be as tangible a cost as a dollar figure, but increased wait time to perform analyses incurs the cost of running a computer and any negative effects associated with a delay as the researcher waits until the sampler has finished running. In this research, we introduce new convergence assessment tools in a diagnostic and plot. Unlike commonly used convergence diagnostics, these new tools focus explicitly on posterior quantiles and probabilities which are common inferential objectives in Bayesian statistics. Additionally, we introduce equivalence testing to the convergence assessment domain by using it as the framework of the diagnostic.
Advisors/Committee Members: Chairperson, Graduate Committee: Steve Cherry (advisor).
Subjects/Keywords: Statistics.; Cost.; Monte Carlo method.; Mathematical models.
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Export
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Manager
APA (6th Edition):
Lerch, M. D. (2016). Statistics in the presence of cost : cost-considerate variable selection and MCMC convergence diagnostics. (Doctoral Dissertation). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/12371
Chicago Manual of Style (16th Edition):
Lerch, Michael David. “Statistics in the presence of cost : cost-considerate variable selection and MCMC convergence diagnostics.” 2016. Doctoral Dissertation, Montana State University. Accessed January 19, 2021.
https://scholarworks.montana.edu/xmlui/handle/1/12371.
MLA Handbook (7th Edition):
Lerch, Michael David. “Statistics in the presence of cost : cost-considerate variable selection and MCMC convergence diagnostics.” 2016. Web. 19 Jan 2021.
Vancouver:
Lerch MD. Statistics in the presence of cost : cost-considerate variable selection and MCMC convergence diagnostics. [Internet] [Doctoral dissertation]. Montana State University; 2016. [cited 2021 Jan 19].
Available from: https://scholarworks.montana.edu/xmlui/handle/1/12371.
Council of Science Editors:
Lerch MD. Statistics in the presence of cost : cost-considerate variable selection and MCMC convergence diagnostics. [Doctoral Dissertation]. Montana State University; 2016. Available from: https://scholarworks.montana.edu/xmlui/handle/1/12371
University of Melbourne
27.
Wang, Jessie Xiaokang.
Econometric modelling of financial contagion with applications.
Degree: 2012, University of Melbourne
URL: http://hdl.handle.net/11343/37320
► This thesis develops a two-period rational expectations equilibrium (REE) model of contagion in an economy with information asymmetry and hedging activities. A new channel of…
(more)
▼ This thesis develops a two-period rational expectations equilibrium (REE) model of contagion in an economy with information asymmetry and hedging activities. A new channel of contagion is proposed which is based on hedging strategies such as portfolio insurance. Due to asymmetric information about liquidation values and incomplete information of hedging activities, selling triggered by hedging strategies might be incorrectly perceived as a result of low fundamental values. This leads to uninformed investors adjusting downwards their expectations, causing prices to fall across markets. Through hedging, the model can generate contagion without the dependence of fundamentals. Consistent with empirical observations, the model also finds that contagion is larger in market downturns than in market upturns, which suggests that contagion is asymmetric. This distinction reflects the fact that hedging activities are more often implemented in a down market. Moreover, the model shows that information asymmetry can also greatly influence the strength of the contagion effect. As all other contagion channels are excluded, the proposed channel is shown to have an independent effect beyond other contagion channels. The simulation results show that correlation, coskewness and cokurtosis of asset prices are much higher during a crisis period compared to those in a noncrisis period. This is an important result as suggests that contagion may be transmitted through higher order moments.
The thesis also develops a general test of contagion which is based on a comparison of conditional copula distributions of financial returns in crisis and noncrisis periods. An important feature of the approach is that a range of contagion channels are tested including the usual channels that operate through the first and second moments, as well as channels that operate through higher order moments including coskewness and cokurtosis. The finite sample properties of the test are examined using a range of Monte Carlo experiments and compared with existing tests of contagion. The empirical application applied to the recent global financial crisis shows that contagion occurs mainly through the fourth moment.
A further contribution of the thesis is that the finite sample properties of a range of contagion tests are investigated using a set of Monte Carlo experiments. The data generating process is based on the Hawkes mutual jumps diffusion model of asset returns which is an extension of the recent model of Aït-Sahalia, Cacho-Diaz and Laeven (2010). The Forbes-Rigobon and Peseran-Pick tests are found to be under-sized, the Favero-Giavazzi test displays reasonable size, while the Bae-Karolyi-Stulz is over-sized. Proposed adjustments to the Forbes-Rigobon tests are found to correct the size distortion of this test. Moreover, the sizes of most tests increase in the presence of correlation in the noncrisis period. For these experiments the Chow contagion test, Pesaran and Pick…
Subjects/Keywords: contagion; copula; financial crises; Monte Carlo method
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APA (6th Edition):
Wang, J. X. (2012). Econometric modelling of financial contagion with applications. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/37320
Chicago Manual of Style (16th Edition):
Wang, Jessie Xiaokang. “Econometric modelling of financial contagion with applications.” 2012. Doctoral Dissertation, University of Melbourne. Accessed January 19, 2021.
http://hdl.handle.net/11343/37320.
MLA Handbook (7th Edition):
Wang, Jessie Xiaokang. “Econometric modelling of financial contagion with applications.” 2012. Web. 19 Jan 2021.
Vancouver:
Wang JX. Econometric modelling of financial contagion with applications. [Internet] [Doctoral dissertation]. University of Melbourne; 2012. [cited 2021 Jan 19].
Available from: http://hdl.handle.net/11343/37320.
Council of Science Editors:
Wang JX. Econometric modelling of financial contagion with applications. [Doctoral Dissertation]. University of Melbourne; 2012. Available from: http://hdl.handle.net/11343/37320
Laurentian University
28.
Almowanes, Abdullah.
Generating random shapes for Monte Carlo accuracy testing of pairwise comparisons
.
Degree: 2013, Laurentian University
URL: https://zone.biblio.laurentian.ca/dspace/handle/10219/2097
► This thesis shows highly encouraging results as the gain of accuracy reached 18.4% when the pairwise comparisons method was used instead of the direct method…
(more)
▼ This thesis shows highly encouraging results as the gain of accuracy reached 18.4%
when the pairwise comparisons method was used instead of the direct method for comparing
random shapes. The thesis describes a heuristic for generating random but nice
shapes, called placated shapes. Random, but visually nice shapes, are often needed
for cognitive experiments and processes. These shapes are produced by applying the
Gaussian blur to randomly generated polygons. Afterwards, the threshold is set to
transform pixels to black and white from di erent shades of gray. This transformation
produces placated shapes for easier estimation of areas. Randomly generated
placated shapes are used to perform the Monte Carlo method to test the accuracy of
cognitive processes by using pairwise comparisons. An on-line questionnaire has been
implemented and participants were asked to estimate the areas of ve shapes using a
provided unit of measure. They were also asked to compare the shapes in pairs. Such
Monte Carlo experiment has never been conducted for 2D case. The received results
are of considerable importance.
Subjects/Keywords: placated shapes;
Monte Carlo method;
pairwise comparisons
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APA ·
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MLA ·
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APA (6th Edition):
Almowanes, A. (2013). Generating random shapes for Monte Carlo accuracy testing of pairwise comparisons
. (Thesis). Laurentian University. Retrieved from https://zone.biblio.laurentian.ca/dspace/handle/10219/2097
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Almowanes, Abdullah. “Generating random shapes for Monte Carlo accuracy testing of pairwise comparisons
.” 2013. Thesis, Laurentian University. Accessed January 19, 2021.
https://zone.biblio.laurentian.ca/dspace/handle/10219/2097.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Almowanes, Abdullah. “Generating random shapes for Monte Carlo accuracy testing of pairwise comparisons
.” 2013. Web. 19 Jan 2021.
Vancouver:
Almowanes A. Generating random shapes for Monte Carlo accuracy testing of pairwise comparisons
. [Internet] [Thesis]. Laurentian University; 2013. [cited 2021 Jan 19].
Available from: https://zone.biblio.laurentian.ca/dspace/handle/10219/2097.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Almowanes A. Generating random shapes for Monte Carlo accuracy testing of pairwise comparisons
. [Thesis]. Laurentian University; 2013. Available from: https://zone.biblio.laurentian.ca/dspace/handle/10219/2097
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Georgia
29.
Huang, Yanping.
Parameter estimation of chemical reaction networks.
Degree: 2014, University of Georgia
URL: http://hdl.handle.net/10724/24168
► This thesis describes a novel Monte Carlo simulation algorithm for the estimation of the model parameters of kinetic rate equation systems, describing biochemical reaction networks;…
(more)
▼ This thesis describes a novel Monte Carlo simulation algorithm for the estimation of the model parameters of kinetic rate equation systems, describing biochemical reaction networks; and for the quantitative prediction of the time-dependent
behavior of real biochemical systems described by such kinetics models. This simulation method, referred to as the super-ensemble approach, combines Monte Carlo sampling of the kinetics model parameter space with a simultaneous Galerkin-type variational
Monte Carlo solution of the underlying kinetic rate equation system. Unlike the recently proposed and closely related “standard” ensemble simulation method, the super-ensemble does not rely on the high-volume execution of a conventional serial ordinary
differential equation(ODE) solver algorithm, and it is therefore amenable to an efficient scalable parallelization by straightforward time domain decomposition techniques. With minor modifications, the super-ensemble algorithm can also be deployed as a
parallelizable variational ODE solution method, in a conventional ODE solver setting where a unique ODE solution is sought for given initial conditions and given rate functions. Test applications of the super-ensemble algorithm in both ODE solver mode
and in parameter estimation mode, for a simple enzyme catalysis model, will be discussed.
Subjects/Keywords: Monte Carlo; Biochemical Network; Ensemble Method
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APA ·
Chicago ·
MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Huang, Y. (2014). Parameter estimation of chemical reaction networks. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/24168
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Huang, Yanping. “Parameter estimation of chemical reaction networks.” 2014. Thesis, University of Georgia. Accessed January 19, 2021.
http://hdl.handle.net/10724/24168.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Huang, Yanping. “Parameter estimation of chemical reaction networks.” 2014. Web. 19 Jan 2021.
Vancouver:
Huang Y. Parameter estimation of chemical reaction networks. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Jan 19].
Available from: http://hdl.handle.net/10724/24168.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Huang Y. Parameter estimation of chemical reaction networks. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/24168
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Universidade do Rio Grande do Sul
30.
Luz, Simone Milioli da.
Método de Monte Carlo aplicado ao processo de lingotamento contínuo.
Degree: 2011, Universidade do Rio Grande do Sul
URL: http://hdl.handle.net/10183/36328
► A aplicação de modelos matemáticos baseados em técnicas numéricas aumentou com o avanço da informática através da criação de microprocessadores mais velozes e periféricos de…
(more)
▼ A aplicação de modelos matemáticos baseados em técnicas numéricas aumentou com o avanço da informática através da criação de microprocessadores mais velozes e periféricos de armazenamento de dados com grande capacidade. Buscando uma maior produtividade e a melhoria da qualidade final do produto solidificado, propõe-se neste trabalho, desenvolver um modelo computacional de origem físico para o crescimento de grão no Lingotamento Contínuo. O modelo é simulado utilizando o Método de Monte Carlo juntamente com o Método das Diferenças Finitas, com o objetivo de obter e caracterizar a transição colunar-equiaxial através desse método. As simulações foram realizadas utilizando a programação Fortran 90/95 no ambiente Linux através do software Developer Studio e aplicados nos aços SAE 1015 e 1020. A seguir, foram realizadas comparações entre as macroestruturas simuladas e as macroestruturas das amostras dos aços obtidas pelo Laboratório de Fundição (LAFUN) da UFRGS. Destas simulações observou-se que o modelo oferece a possibilidade da simulação de diferentes condições operacionais para prever a evolução macroestrutural de lingotes.
The application of mathematical models based on numerical techniques increased with the advancement of information technology by creating faster microprocessors and peripherals with high data storage capacity. Seeking for a major productivity and the improvement of the final quality of the solidified product. In this assignment, the development of a computational model with a physical origen for the growth of the continuous casting, is proposed. The model is simulated by using the Monte Carlo Method with the Finite Differences Method, the goal is to obtain and characterize the columnar-equiaxed transition through this method. The simulations were performed using the Fortran 90/95 programming in Linux environment using the Developer Studio software and applied to the steel SAE 1015 and 1020. Following it, comparisons were made between the macro and simulated macrostructures of the samples obtained by the Laboratory of Steel Casting - Laboratório de Fundição (LAFUN) at UFRGS. From these simulations, it was observed that the modified model offers the possibility of simulating different operating conditions to predict the evolution of macrostructural ingots.
Advisors/Committee Members: Spim Junior, Jaime Alvares.
Subjects/Keywords: Lingotamento contínuo; Continuous casting; Grain growth; Método de Monte Carlo; Monte Carlo method
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APA ·
Chicago ·
MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Luz, S. M. d. (2011). Método de Monte Carlo aplicado ao processo de lingotamento contínuo. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/36328
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Luz, Simone Milioli da. “Método de Monte Carlo aplicado ao processo de lingotamento contínuo.” 2011. Thesis, Universidade do Rio Grande do Sul. Accessed January 19, 2021.
http://hdl.handle.net/10183/36328.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Luz, Simone Milioli da. “Método de Monte Carlo aplicado ao processo de lingotamento contínuo.” 2011. Web. 19 Jan 2021.
Vancouver:
Luz SMd. Método de Monte Carlo aplicado ao processo de lingotamento contínuo. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2011. [cited 2021 Jan 19].
Available from: http://hdl.handle.net/10183/36328.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Luz SMd. Método de Monte Carlo aplicado ao processo de lingotamento contínuo. [Thesis]. Universidade do Rio Grande do Sul; 2011. Available from: http://hdl.handle.net/10183/36328
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
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Open Access Theses and Dissertations