1,721,065 research outputs found
Artena. 1. Rapports et études de M.-A. Delsaux, G. Foglia, P. Fontaine , R. Lambrechts, F. Van Wonterghem et autres réunis et présentés par Roger Lambrechts
No full textVan Compernolle Thierry. Artena. 1. Rapports et études de M.-A. Delsaux, G. Foglia, P. Fontaine , R. Lambrechts, F. Van Wonterghem et autres réunis et présentés par Roger Lambrechts. In: L'antiquité classique, Tome 54, 1985. pp. 546-548
Numerical Investigation on Mixed Convection in a Horizontal Divergent Channel Heated from Below
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Numerical investigation on mixed convection in a horizontal convergent channel heated from below
No full textTEAnO, or the computer assisted generation of manufactured aesthetic goods seen as a constrained stream of technological unconsciousness
No full textExperimental investigation on mixed convection in a horizontal parallel-plate channel heated from below
No full textIn this paper, mixed convection in a horizontal channel, with the lower wall heated at uniform heat flux is studied experimentally. The upper wall is unheated and allows a heat transfer with the external ambient.
The experiments are performed with air as working fluid. The investigated Reynolds numbers (Re) are between 5.0 and 1000 and the Rayleigh (Ra) number ranges from 4.60x10^5 1.85x10^6. The effect of the secondary motion along the heated wall of the channel is detected by measuring the lower wall temperatures along the longitudinal axis for Re>5.0 and by flow visualization for Re>100. Results show that
the separation from the lower heated wall strongly depends on the buoyancy force and forced velocity. In fact, at lower Reynolds numbers the higher the wall heat flux, the smaller the axial coordinate where the
flow separation takes place. Different flow structures due to secondary motions are observed. Correlations for average Nusselt number and for separation point as a function of Richardson and Grashof numbers
are proposed in the ranges 0.65 < Ri < 1.04x10^5 and 4.60x10^5 < Ra < 1.85x10^6 (5.0 < Re < 1000)
Design and experimental validation of knowledge-based constant false alarm rate detectors
No full textThis paper deals with the design and the analysis of constant false alarm rate (CFAR) detectors exploiting knowledge-based (KB) processing techniques. The proposed algorithms are composed of two stages. The former is a KB data selector which, exploiting the a priori information provided by a geographic information system, chooses the training samples for threshold adaptation. The latter stage is a conventional CFAR processor. The performance of the new schemes is analysed in the presence of real radar data, collected by the McMaster IPIX radar, and compared with other common CFAR detectors. The results show that noticeable performance improvements can be obtained suitably exploiting the a priori information available about the sensed environment
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