Search results for "UML"
showing 10 items of 407 documents
Reaaliaikajärjestelmän mallintaminen UML-kuvausmenetelmän avulla
2002
Automated Detection of Microaneurysms Using Scale-Adapted Blob Analysis and Semi-Supervised Learning
2014
International audience; Despite several attempts, automated detection of microaneurysm (MA) from digital fundus images still remains to be an open issue. This is due to the subtle nature of MAs against the surrounding tissues. In this paper, the microaneurysm detection problem is modeled as finding interest regions or blobs from an image and an automatic local-scale selection technique is presented. Several scale-adapted region descriptors are then introduced to characterize these blob regions. A semi-supervised based learning approach, which requires few manually annotated learning examples, is also proposed to train a classifier to detect true MAs. The developed system is built using only…
Uz rūpēm balstīta morālā spriešana, dzimumlomas un piesaistes stils sievietēm
2016
Maģistra darba mērķis bija izpētīt dzimumlomu, piesaistes stila un uz rūpēm balstītās morāles saistības. Tika izvirzīti sekojoši jautājumi: kādas sakarības pastāv starp dzimumlomu, uz rūpēm balstīto morālo spriešanu un piesaistes stilu sievietēm un kā dzimumloma un piesaistes stils prognozē uz rūpēm balstīto morālo spriešanu? Pētījumā piedalījās 31 sieviete. Izmantotās metodikas: Attiecību aptauja (Relationship Questionaire, Bartholomew & Horowitz, 1991); Bēmas dzimumlomu aptauja (Bem Sex Role Inventory, Bem, 1974); Rūpju ētikas intervija (The ethics of care interview, Skoe, 1993). Tika atrasta statistiski nozīmīga saistība drošā piesaistes stila un uz rūpēm balstītā morālās spriešanas līme…
Testing and implementing a new approach to estimating interregional output multipliers using input-output data for South Korean regions
2020
Flegg's location quotient (FLQ) is a useful tool for estimating intraregional output multipliers. This paper uses it as one component when estimating interregional multipliers. Using statistical information criteria and official data for 16 South Korean regions, it is found that the best approach is to combine the FLQ with a simple trade model. The paper explains how the proposed procedure can be implemented for both multiple and individual regions, and also how a region-specific value for the unknown parameter δ in the FLQ formula can be determined. Finally, an illustrative case study of one of the regions is carried out.
Theory of mind development from adolescence to adulthood: Testing the two-component model
2020
The ability to infer mental and affective states of others is crucial for social functioning. This ability, denoted as Theory of Mind (ToM), develops rapidly during childhood, yet results on its development across adolescence and into young adulthood are rare. In the present study, we tested the two‐component model, measuring age‐related changes in social‐perceptual and social‐cognitive ToM in a sample of 267 participants between 11 and 25 years of age. Additionally, we measured language, reasoning, and inhibitory control as major covariates. Participants inferred mental states from non‐verbal cues in a social‐perceptual task (Eye Test) and from stories with faux pas in a social‐cognitive t…
dzimumlomu konflikta un uztvertā sociālā atbalsta saistība vīriešiem, kuri iesaistās un neiesaistās vīriešu grupās
2022
Darba mērķis bija noskaidrot vai dzimumlomu konflikts negatīvi saistīts ar uztverto sociālo atbalstu un vai vīriešu grupu dalībniekiem ir zemāks dzimumlomu konflikts, plašāks sociālā atbalsta tīkls un viņi ir apmierinātāki ar sociālo atbalstu savā dzīvē kā vīrieši, kas nav vīriešu grupā. Tika ievākti dati no 136 respondentiem, 39 bija aktīvi vīriešu grupas dalībnieki. Tika veikta pirmreizējā adaptācija Dzimumlomu konflikta skalas īsai formai un 3 jautājumiem no Sociālā atbalsta aptaujas. Apstiprinājās vāja, bet statistiski nozīmīga negatīva saistība starp sociālo atbalstu (atbalsta tīkla plašumu un apmierinātību ar uztverto sociālo atbalstu) un dzimumlomu konfliktu. Vīriešiem, kas ir vīrieš…
Automatic surrogate modelling technique selection based on features of optimization problems
2019
A typical scenario when solving industrial single or multiobjective optimization problems is that no explicit formulation of the problem is available. Instead, a dataset containing vectors of decision variables together with their objective function value(s) is given and a surrogate model (or metamodel) is build from the data and used for optimization and decision-making. This data-driven optimization process strongly depends on the ability of the surrogate model to predict the objective value of decision variables not present in the original dataset. Therefore, the choice of surrogate modelling technique is crucial. While many surrogate modelling techniques have been discussed in the liter…
A new approach for estimating a nonlinear growth component in multilevel modeling
2011
This study presents a new approach to estimation of a nonlinear growth curve component with fixed and random effects in multilevel modeling. This approach can be used to estimate change in longitudinal data, such as day-of-the-week fluctuation. The motivation of the new approach is to avoid spurious estimates in a random coefficient regression model due to the synchronized periodical effect (e.g., day-of-the-week fluctuation) appearing both in independent and dependent variables. First, the new approach is introduced. Second, a Monte Carlo simulation study is carried out to examine the functioning of the proposed new approach in the case of small sample sizes. Third, the use of the approac…
Acoustic detection and classification of river boats
2011
We present a robust algorithm to detect the arrival of a boat of a certain type when other background noises are present. It is done via the analysis of its acoustic signature against an existing database of recorded and processed acoustic signals. We characterize the signals by the distribution of their energies among blocks of wavelet packet coefficients. To derive the acoustic signature of the boat of interest, we use the Best Discriminant Basis method. The decision is made by combining the answers from the Linear Discriminant Analysis (LDA) classifier and from the Classification and Regression Trees (CART) that is also accompanied with an additional unit, called Aisles, that reduces fal…
Exact extension of the DIRECT algorithm to multiple objectives
2019
The direct algorithm has been recognized as an efficient global optimization method which has few requirements of regularity and has proven to be globally convergent in general cases. direct has been an inspiration or has been used as a component for many multiobjective optimization algorithms. We propose an exact and as genuine as possible extension of the direct method for multiple objectives, providing a proof of global convergence (i.e., a guarantee that in an infinite time the algorithm becomes everywhere dense). We test the efficiency of the algorithm on a nonlinear and nonconvex vector function. peerReviewed