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001-es BibID:BIBFORM074765
035-os BibID:(Scopus)85063097100 (Wos)000460787000009
Első szerző:Gál Zoltán (informatikus)
Cím:Estimation of the Wireless Sensor Network Performance using Fractal Behavior of the Generated Cognitive Harmonic Waves / Zoltan Gal, Amine Korteby, Ashraf AlDabbas
Megjegyzések:In several domains like geometry and music, a classic kind of discrete pattern comes from similar systems, where the elements of the set are connected in a specific structure. Types of the similarity feature are symmetry with respect to the axis or to the origin, rotation, translation, and scaling. A special group of structure types with similarity character in different natural and artificial systems are fractals. They are set of objects that look similar on different scales. A musical fractal is a piece where the theme harmonizes with a slow down version of itself, that way the small-scale structure of the piece is repeated at a larger scale. Human matter of taste prefers fractal structure in music and is tight sensible to the similarity alteration. This phenomenon is used to evaluate the operating performance of the Wireless Sensor Network (WSN). We present a new method of sensing the WSN behavior based on cognitive generation mechanism of a musical sound signal and we give special features of this algorithm.
Tárgyszavak:Műszaki tudományok Informatikai tudományok előadáskivonat
box-counting dimension
wireless sensor network
cognitive harmonic wave
Megjelenés:9th IEEE International Conference on Cognitive Infocommunications: CogInfoCom 2018: Proceedings / ed. by Péter Baranyi. - p. 57-62. -
További szerzők:Korteby, Mohamed Amine (1990-) (informatikus) Aldabbas, Ashraf Khaled Abd Elkareem (1983-) (informatikus)
Internet cím:Intézményi repozitóriumban (DEA) tárolt változat
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