- About
-
The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
provided by the
Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
Search results
Showing 1 to 2 of 2 (0.079 seconds)Spelling suggestions: "subject:"gammon mapping"" "subject:"mammon mapping""
| 1 |
[en] CONSTRUCTION OF PERCEPTUALLY UNIFORM EUCLIDEAN COLOR SPACES BASED ON THE CIEDE2000 FORMULA / [pt] CONSTRUÇÃO DE ESPAÇOS DE COR EUCLIDIANOS E PERCEPTUALMENTE UNIFORMES COM BASE NA FÓRMULA CIEDE2000LORENZO FRANCESCO GIOVANNI GINO MARIA RIDOLFI 08 January 2014 (has links)
[pt] Nos últimos anos, diversas fórmulas de diferença de cores foram desenvolvidas
para o espaço CIELAB, tais como CMC, CIE94 e CIEDE2000. Embora
essas fórmulas obtenham maior precisão na medida perceptual entre
cores, muitas aplicações não podem usufruir desta maior precisão, pois as
distâncias euclidianas no CIELAB não são isométricas de acordo com essas
novas fórmulas. Com isso, aplicações como gamut mapping e interpolação de cores precisam de um espaço de cores que seja isométrico em relação
as fórmulas mais recentes de medição de diferenças de cores. Esse trabalho
estuda o mapeamento do espaço CIELAB, em particular do plano ab deste
espaço, sob a métrica da fórmula CIEDE2000, por meio de técnicas de
escalonamento multidimensional, ou Multidimensional Scaling (MDS), tais
como o ISOMAP e uma otimizaçãobaseada em Sammon Mapping. / [en] In recent years, various color difference formulas were developed for
the CIELAB space, such as CMC, CIE94 and CIEDE2000. Although
these formulas have achieved greater accuracy in perceptual measurement
between colors, many applications cannot take advantage of this greater
precision, because the Euclidean distances in CIELAB are not isometric
in accordance with these new formulas. Thus, applications such as gamut
mapping and color interpolation need a color space that is isometric in relation
to the latest color difference formulas. This paper studies the mapping
of the CIELAB space, particularly the ab plane of this space according to
the metrics of the CIEDE2000 formula, through multidimensional scaling
(MDS) techniques, more specifically ISOMAP and an optimization based
on Sammon Mapping.
|
| 2 |
Individualization of fixed-dose combination regimens : Methodology and application to pediatric tuberculosis / Individualisering av design och dosering av kombinationstabletter : Metodologi och applicering inom pediatrisk tuberkulosYngman, Gunnar January 2015 (has links)
Introduction: No Fixed-Dose Combination (FDC) formulations currently exist for pediatric tuberculosis (TB) treatment. Earlier work implemented, in the software NONMEM, a rational method for optimizing design and individualization of pediatric anti-TB FDC formulations based on patient body weight, but issues with parameter estimation, dosage strata heterogeneity and representative pharmacokinetics remained. Aim: To further develop the rational model-based methodology aiding the selection of appropriate FDC formulation designs and dosage regimens, in pediatric TB treatment. Materials and Methods: Optimization of the method with respect to the estimation of body weight breakpoints was sought. Heterogeneity of dosage groups with respect to treatment efficiency was sought to be improved. Recently published pediatric pharmacokinetic parameters were implemented and the model translated to MATLAB, where also the performance was evaluated by stochastic estimation and graphical visualization. Results: A logistic function was found better suited as an approximation of breakpoints. None of the estimation methods implemented in NONMEM were more suitable than the originally used FO method. Homogenization of dosage group treatment efficiency could not be solved. MATLAB translation was successful but required stochastic estimations and highlighted high densities of local minima. Representative pharmacokinetics were successfully implemented. Conclusions: NONMEM was found suboptimal for the task due to problems with discontinuities and heterogeneity, but a stepwise method with representative pharmacokinetics were successfully implemented. MATLAB showed more promise in the search for a method also addressing the heterogeneity issue.
|
Page generated in 0.0829 seconds