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Temperature prediction in domestic refrigerator: Determinist and stochastic approaches
International audienceThe influence of two random variables: ambient temperature and thermostat setting, on air and load temperatures in non ventilated domestic refrigerator was studied. A simplified steady state heat transfer model was developed which takes into account heat exchanges by convection and radiation. This model considers circular airflow due to natural convection inside the cavity. The normal distribution of ambient and thermostat temperatures was developed to fit the survey data. Monte Carlo method was used for a sampling of ambient and thermostat temperatures from this distribution. These values were then used as input parameters of the deterministic model allowing the calculation of air and load temperatures. An analysis of the predicted temperatures was undertaken by comparing with survey data of air and load temperatures in domestic refrigerators in France, a good agreement was obtained. This model can be used as risk evaluation tool
Performance of the CMS Pixel Detector at an upgraded LHC
The CMS experiment will include a pixel detector for pattern recognition and
vertexing. It will consist of three barrel layers and two endcaps on each side,
providing three space-points up to a pseudoraditity of 2.1. Taking into account
the expected limitations of its performance in the LHC environment an 8-9 layer
pixel detector for an upgraded LHC is discussed.Comment: Contribution to the 10th European Symposium on Semiconductor
Detectors, June 12 - 16, 2005 in Wildbad Kreuth, Germany. 6 pages, 4 figures,
1 table. Referee's comments implemente
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Multi-model projections of twenty-first century North Pacific winter wave climate under the IPCC A2 scenario
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Ocean Wave Height Determined from Inland Seismometer Data: Implications for Investigating Wave Climate Changes in the NE Pacific
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