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Wyszukujesz frazę "reconstruction criterion" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Granular representation of biomedical signals using numerical differentiation methods
Autorzy:
Momot, M.
Momot, A.
Gacek, A.
Powiązania:
https://bibliotekanauki.pl/articles/332925.pdf
Data publikacji:
2010
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
grupowanie
liczby rozmyte
granulacja informacji
interpolacja
kryterium odbudowy
clustering
fuzzy number
information granulation
interpolation
reconstruction criterion
Opis:
This work presents the general idea of granular description of temporal signal, particularly biomedical signal sampled with constant frequency. The main idea of presented method is based on using triangular fuzzy numbers as information granules in temporal and amplitude spaces. The amplitude space contains values of first few derivatives of underlying signal. The construction of data granules is performed using the optimization method according to some objective function, which balances the high coverage ability and the low support of fuzzy numbers. The granules (descriptors) undergo the clustering process, namely fuzzy c-means. The centroids of created clusters form a granular vocabulary and the quality of description is quantitatively assessed by reconstruction criterion. There are presented results of experiments with the electrocardiographic signal, digitally sampled and stored in MIT-BIH database. The method of numerical differentiation of function based on finite set of its values is employed, which incorporates polynomial interpolation. The paper presents results of numerical experiments which show the impact of method parameters, such as temporal window length, degree of polynomial, fuzzification parameter, on the reconstruction ability of presented method.
Źródło:
Journal of Medical Informatics & Technologies; 2010, 16; 43-49
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A spatial model of forest area in the middle ages based on historical, archaeological and geographic data: Case study of 13th-century Chełmno Land (North-Central Poland)
Autorzy:
Molewski, Paweł
Powiązania:
https://bibliotekanauki.pl/articles/15805005.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet im. Adama Mickiewicza w Poznaniu
Tematy:
historical landscape reconstruction
forest area
Middle Ages
Multi-Criterion Evaluation
Chełmno Land
Opis:
The settlement established under German law in Chełmno Land in the 13th century, the resultant changes in the structure of agriculture and land cultivation techniques, and the growing demand on wood as timber, fuel and raw materials for crafts, all combined to contribute to the significant deforestation of the territory. The extent of this deforestation remains conjectural. The purpose in creating a model of forest area in 13th-century Chełmno Land was to attempt to reconstruct it and determine its size and, consequently, to verify hypotheses concerning the scale and the ultimate end of deforestation in the research area. The spatial model is based on published historical and archaeological data relating to selected components of the geographical environment that pertain to the forest area. A retrogressive method combined with Multi-Criterion Evaluation (MCE) was used to build a forest area model. The basic platform for collecting, analysing and visualising spatial data was the geographic information system (GIS). The presented estimates indicate that the forest area of Chełmno Land in the 13th century was larger than had previously been assumed, at about 20–25% of the entire territory.
Źródło:
Quaestiones Geographicae; 2022, 41, 3; 53-74
0137-477X
2081-6383
Pojawia się w:
Quaestiones Geographicae
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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