Wszystkie pola: cell cluster - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: A newly developed random walk model for PCS network
Autorzy:: Islam, I.
Hossain, S.
Powiązania:: https://bibliotekanauki.pl/articles/308852.pdf
Data publikacji:: 2005
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Tematy:: cell cluster
random walk
subarea n
state transition
probability matrix
expected number of steps
Opis:: Different types of random walk models are prevalent in mobile cellular network for analysis of roaming and handover, being considered as important parameters of traffic measurement and location updating of such network. This paper proposes a new random walk model of hexagonal cell cluster, exclusively developed by the authors and a comparison is made with two existing models. The proposed model shows better performance in context of number of probability states compared to existing models.
Źródło:: Journal of Telecommunications and Information Technology; 2005, 1; 153-156
1509-4553
1899-8852
Pojawia się w:: Journal of Telecommunications and Information Technology
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: A Fractal Approach for Characterizing Microroughness in Gravel Streams
Autorzy:: Tsakiris, A. G.
Thanos Papanicolaou, A. N.
Powiązania:: https://bibliotekanauki.pl/articles/241041.pdf
Data publikacji:: 2008
Wydawca:: Polska Akademia Nauk. Instytut Budownictwa Wodnego PAN
Tematy:: cluster
microforms
shape
cell-counting
Opis:: Discrete cluster microforms, or simply clusters, in gravel streams result from organization of particles found in the surface layer of the gravel bed into disconnected patches. Clusters are the outcome of feedback interaction between flow, sediment and stream planform geometry. The complexity of this interaction results in several different cluster shapes, i.e. line, rhomboid and triangular. The objective of this research is to provide a quantitative characterization of cluster shape. To achieve this, we employed a novel method based on fractal theory and used for the shape description of clusters. Our novel method utilized the cell-counting method for the estimation of the areal fractal dimension, for two major datasets, namely fabricated clusters with well-defined shapes, and clusters developed in the laboratory. The principal finding of this research is that the proposed method successfully characterized cluster shape in quantitative terms. Specifically, it was shown that the new approach could identify clusters of different shapes 84% of the time, under different arrangements. This finding is of great importance for bed pattern recognition studies of stream reaches with superimposed roughness elements such as clusters. The findings of the current work could also assist numerical modellers in the development of more representative models of flows over roughness features such as clusters and in the interpretation of results from such models.
Źródło:: Archives of Hydro-Engineering and Environmental Mechanics; 2008, 55, 1-2; 29-43
1231-3726
Pojawia się w:: Archives of Hydro-Engineering and Environmental Mechanics
Dostawca treści:: Biblioteka Nauki

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