A review of source term estimation methods for atmospheric dispersion events using static or mobile sensors
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This paper presents a review of techniques used to gain information about atmospheric dispersion events using static or mobile sensors and discusses on the current limitations of the state of the art and recommendations for future research.About:
This article is published in Information Fusion.The article was published on 2017-07-01 and is currently open access. It has received 202 citations till now. The article focuses on the topics: Atmospheric dispersion modeling.read more
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Research on rapid source term estimation in nuclear accident emergency decision for pressurized water reactor based on Bayesian network
TL;DR: A method for rapid source term estimation to support nuclear emergency decision making in pressurized water reactor NPP and a weighted assignment approach based on expert assessment is proposed in this paper.
Journal ArticleDOI
Spatial and temporal gradients in the rate of dust deposition and aerosol optical thickness in southwestern Iran
TL;DR: In this article, the authors analyzed the spatial and temporal distributions of dust deposition rate as a key factor for finding the relative impact of the dust in southwestern Iran for the period between 2014 and 2015, using the Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model.
Proceedings ArticleDOI
Gaussian-Based Kernel for Multi-Agent Aerial Chemical-Plume Mapping
TL;DR: In this paper, a multi-vehicle chemical-plume mapping process that incorporates onboard wind speed and direction estimation is presented, where a Gaussian plume model is exploited to develop the kernel for extrapolating the measured data.
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Source term estimation with deficient sensors: Error analysis and mobile station route design
TL;DR: This work proposes a new method for optimal mobile route design so that the inference of uncertainties on the accuracy of source rate estimation is minimized and can effectively improve the performance of sources rate estimation by optimally choosing the monitoring route.
Journal ArticleDOI
Emission source tracing based on bionic algorithm mobile sensors with artificial olfactory system
TL;DR: The mobile robot system equipped with the zigzag–Silkworm algorithm and the AOS is feasible to trace the leakage source and identify the emission composition in the outdoor leakage event with good performance in efficiency and accuracy although some underlying problems still need to be addressed in future work.
References
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Journal ArticleDOI
Equation of state calculations by fast computing machines
TL;DR: In this article, a modified Monte Carlo integration over configuration space is used to investigate the properties of a two-dimensional rigid-sphere system with a set of interacting individual molecules, and the results are compared to free volume equations of state and a four-term virial coefficient expansion.
Statistical learning theory
TL;DR: Presenting a method for determining the necessary and sufficient conditions for consistency of learning process, the author covers function estimates from small data pools, applying these estimations to real-life problems, and much more.
Journal ArticleDOI
Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
TL;DR: In this article, the authors propose a new framework for the construction of reversible Markov chain samplers that jump between parameter subspaces of differing dimensionality, which is flexible and entirely constructive.
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