The Optimization of Electrical Tomography Algorithms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F17%3APU125750" target="_blank" >RIV/00216305:26220/17:PU125750 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/8261844" target="_blank" >https://ieeexplore.ieee.org/document/8261844</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/PIERS.2017.8261844" target="_blank" >10.1109/PIERS.2017.8261844</a>
Alternative languages
Result language
angličtina
Original language name
The Optimization of Electrical Tomography Algorithms
Original language description
The paper discusses the optimization of methods for fast image reconstruction in electrical resistive/impedance/capacitance/infrared tomography. The first portion of the text characterizes the total variation and Tikhonov regularization techniques, including their advantages and drawbacks. Within the related other part, the authors then focus on time optimization in computing the distribution of the desired quantity inside a given object. In this context, the following options are considered: a) adaptive control of the regularizing element of the objective function; b) parallelizing the computation of the Jacobian and the Gauss-Newton system of equations; c) compressive sensing. The parallelization of the algorithm was outlined with respect to the capabilities of a general purpose GPU. In terms of its general goal, the research is intended to design universal libraries for reconstructing complex quantities inside measured objects.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
PIERS 2017 Proceedings
ISBN
978-1-5090-6269-0
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
763-766
Publisher name
Neuveden
Place of publication
neuveden
Event location
Petrohrad
Event date
May 22, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000427596700145