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

The Use of NVivo in the Different Stages of Qualitative Research

When researchers take their first steps in qualitative research, they face the great lack of models to follow regarding the method to use in the analysis of data, on some occasions falling into the temptation of coveting the high level of systematisation employed by researchers working with quantitative data. This article offers a basic theoretical contribution that allows researcher to approach qualitative data analysis and the use of the NVivo software, highlighting its advantages and describing the main functions at each moment of a qualitative investigation, placing particular emphasis on the analysis process