Results 81 to 90 of about 69,256 (287)

A Geometric Approach to Joint Inversion with Applications to Contaminant Source Zone Characterization

open access: yes, 2013
This paper presents a new joint inversion approach to shape-based inverse problems. Given two sets of data from distinct physical models, the main objective is to obtain a unified characterization of inclusions within the spatial domain of the physical ...
Abriola, Linda M.   +4 more
core   +1 more source

Reconstruction of a piecewise constant conductivity on a polygonal partition via shape optimization in EIT [PDF]

open access: yes, 2017
In this paper, we develop a shape optimization-based algorithm for the electrical impedance tomography (EIT) problem of determining a piecewise constant conductivity on a polygonal partition from boundary measurements.
Beretta, Elena   +3 more
core   +2 more sources

Harnessing Fungal Biowelding for Constructing Mycelium‐Engineered Materials

open access: yesAdvanced Engineering Materials, EarlyView.
Mycelium‐bound composites (MBCs) offer low‐carbon alternatives for construction, yet interfacial bonding remains a critical challenge. This review examines fungal biowelding as a biocompatible adhesive, elucidating mycelium‐mediated interfacial mechanisms and their role in material assembly. Strategies to optimize biowelding are discussed, highlighting
Xue Brenda Bai   +2 more
wiley   +1 more source

Image Reconstruction Performance of a 12-Electrode CCERT Sensor Under Five Different Excitation Patterns

open access: yesIEEE Access, 2018
To obtain useful knowledge and experience of CCERT under different excitation patterns, the image reconstruction performance of a 12-electrode CCERT sensor under five different excitation patterns (1-electrode excitation pattern, 2-electrode excitation ...
Zhen Xu   +5 more
doaj   +1 more source

Freezing resistance evaluation of rose stems during frost dehardening using electrical impedance tomography

open access: yesBMC Plant Biology, 2021
Background Electrical impedance tomography (EIT) has rarely been applied in plant science, particularly to study plant resistance to abiotic and biotic stresses.
Ji Qian   +4 more
doaj   +1 more source

3D-electrical resistivity tomography monitoring of salt transport in homogeneous and layered soil samples [PDF]

open access: yes, 2011
Monitoring transport of dissolved substances in soil deposits is particularly relevant where safety is concerned, as in the case of geo-environmental barriers.
A Binley   +19 more
core   +2 more sources

Planar Solid‐State Nanopores Toward Scalable Nanofluidic Integration Based on CMOS Technology

open access: yesAdvanced Engineering Materials, EarlyView.
We present a scalable silicon‐based fabrication strategy for planar solid‐state nanopores to enable their integration with complex nanofluidic systems. Prototype devices demonstrate normal voltage‐current characteristics, good noise performance, and appreciable streaming currents. Our CMOS‐compatible fabrication process offers precise geometric control
Ngan Hoang Pham   +7 more
wiley   +1 more source

Detection of Two-Phase Slug Flow Film Thickness by Ultrasonic Reflection

open access: yesChaos Theory and Applications
Slug flow is a common phenomenon in closed pipes, occurring in two-phase flow where liquid and gas phases mix, impacting the custody transfer or the efficiency of chemical reactions.
Deddy Kurniadi   +2 more
doaj   +1 more source

Feasibility of Imaging Tissue Electrical Conductivity by Switching Field Gradients with MRI. [PDF]

open access: yes, 2015
Tissue conductivity is a biophysical marker of tissue structure and physiology. Present methods of measuring tissue conductivity are limited. Electrical impedance tomography, and magnetic resonance electrical impedance tomography rely on passing external
Gibbs, Eric, Liu, Chunlei
core   +2 more sources

A convolutional neural network approach to electrical resistivity tomography

open access: yesJournal of Applied Geophysics, 2020
Abstract Electrical resistivity tomography (ERT) is an ill-posed and non-linear inverse problem commonly solved through deterministic gradient-based methods. These algorithms guarantee fast convergence toward the final solution but hinder accurate uncertainty assessments. On the contrary, numerical Markov Chain Monte Carlo algorithms provide
Aleardi M., Vinciguerra A., Hojat A.
openaire   +3 more sources

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