Works (8)
Updated: July 5th, 2023 15:45
2019 journal article
Application and Evaluation of Surrogate Models for Radiation Source Search
ALGORITHMS, 12(12).
author keywords: surrogate modeling; bayesian inference; radiation source localization
TL;DR:
This work considers the problem of inferring the 2D location and intensity of a radiation source in an urban environment using a ray-tracing model based on Boltzmann transport theory, and considers surrogate models based on Legendre polynomials, multivariate adaptive regression splines, radial basis functions, Gaussian processes, and neural networks.
(via Semantic Scholar)
www.mdpi.com (publisher PDF)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: January 21, 2020
2019 article
Bayesian Metropolis methods for source localization in an urban environment
Hite, J., & Mattingly, J. (2019, February). RADIATION PHYSICS AND CHEMISTRY, Vol. 155, pp. 271–274.
TL;DR:
A modification of the traditional Metropolis sampling algorithm is presented that allows us to incorporate fixed parameter uncertainties in building macroscopic cross sections and account for their effects on the posterior distribution.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science; OpenAlex)
Source: Web Of Science
Added: January 14, 2019
2019 journal article
Localization of a radioactive source in an urban environment using Bayesian Metropolis methods
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT, 915, 82–93.
author keywords: Source localization; Bayesian parameter estimation; Sensor networks
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
11. Sustainable Cities and Communities
(OpenAlex)
Source: Web Of Science
Added: December 10, 2018
2019 journal article
Sequential optimal positioning of mobile sensors using mutual information
STATISTICAL ANALYSIS AND DATA MINING, 12(6), 465–478.
author keywords: Bayesian inference; inverse problem; mutual information; sensor placement; source localization
TL;DR:
While most mobile sensor strategies designate a trajectory for sensor movement, this work instead employs mutual information, based on Shannon entropy, to choose the next measurement location from a discrete set of design conditions.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science; OpenAlex)
13. Climate Action
(Web of Science)
Sources: Web Of Science, NC State University Libraries
Added: August 12, 2019
2019 journal article
Surrogate-Based Robust Design for a Non-Smooth Radiation Source Detection Problem
ALGORITHMS, 12(6).
author keywords: robust design in the average sense; Particle Swarm; radial basis functions; radiation source detection
TL;DR:
A robust sensor network design is developed that is optimal in an average sense for detecting source location and intensity with minimized uncertainty and employs a verified surrogate model based on radial basis functions.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science; OpenAlex)
Sources: Web Of Science, NC State University Libraries
Added: July 22, 2019
2017 journal article
Hybrid optimization and Bayesian inference techniques for a non-smooth radiation detection problem
International Journal for Numerical Methods in Engineering, 111(10), 955–982.
author keywords: inverse problems; simulated annealing; particle swarm; genetic algorithm; implicit filtering; DiffeRential Evolution Adaptive Metropolis; delayed rejection adaptive Metropolis
TL;DR:
Three hybrid algorithms composed of mixed optimization techniques are investigated, combining global optimization and implicit filtering address, difficulties associated with the non‐smooth response, and their performances are shown to significantly decrease the computational time over the global optimization methods.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(OpenAlex)
Sources: Web Of Science, Crossref, NC State University Libraries
Added: August 6, 2018
2016 conference paper
Bayesian metropolis methods applied to sensor networks for radiation source localization
2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 389–393.
TL;DR:
An application of statistical techniques to the localization of an unknown gamma source in an urban environment is presented and Markov Chain Monte Carlo is applied to generate a full posterior probability density estimating the source location and intensity based on counts reported from a distributed detector network.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(OpenAlex)
Sources: NC State University Libraries, NC State University Libraries
Added: August 6, 2018
2012 journal article
Hybrid reduced order modeling applied to nonlinear models
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 91(9), 929–949.
author keywords: nonlinear sensitivity analysis; reduced order modeling; subspace methods
UN Sustainable Development Goal Categories
11. Sustainable Cities and Communities
(Web of Science)
Source: Web Of Science
Added: August 6, 2018
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