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R. Radcliff

Researcher at Ohio University

Publications -  14
Citations -  169

R. Radcliff is an academic researcher from Ohio University. The author has contributed to research in topics: Antenna (radio) & Geophysical imaging. The author has an hindex of 6, co-authored 14 publications receiving 155 citations. Previous affiliations of R. Radcliff include West Virginia University.

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Membrane-based wet electrostatic precipitation

TL;DR: In this article, a corrosion resistant membrane collection surfaces developed at Ohio University were used to replace steel plates in a wet electrostatic precipitator, and the results indicated that membranes can be completely cleaned via continuous low velocity, gravity-assisted capillary flow of water while maintaining the electric field.
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Modified Propagation Constants for Nonuniform Plane Wave Transmission through Conducting Media

TL;DR: In this article, a geometrical optics model for propagation in conducting media requires the determination of the propagation constants for the field transmitted through a plane boundary, and expressions for these constants are derived, and data are presented to illustrate when these modified propagation constants must be used to yield valid results.
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Reconstruction algorithms for geophysical applications in noisy environments

TL;DR: This paper presents significant modifications to a standard algorithm that vastly improves its performance in the presence of noisy data, and the process of in situ coal gasification is taken as an example to illustrate the superior performance of the modified algorithm.
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A stable geotomography technique for refractive media

TL;DR: In this article, the stability improvements of selective smoothing and path elimination are presented to enable the reconstruction process to converge to an accurate solution, by using the objective error measures of Euclidean distance and boundary definition by minimum variance partitioning.
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Electromagnetic geophysical imaging incorporating refraction and reflection

TL;DR: In this article, an imaging scheme that explicitly incorporates refraction and first-order reflection in the reconstruction process is developed, and several examples of successful reconstruction of multicell underground environments are presented to demonstrate its accuracy.