Uncertainties in airtightness measurements: regression methods and pressure sequences

This paper presents the results of a series of 30 fan pressurization tests in reproducibility conditions performed within a period of 10 days in October 2017. The tested unit is a newly constructed unoccupied apartment in Brussels. These results make possible to compare different regression methods and evaluate the impact of pressure stations chosen for these regressions. The comparison of three different methods shows that the Weighted Line of Organic Correlation and the Iterative Weighted Least Square reduce the airflow rate standard deviation and give a better uncertainty calculation than Ordinary Least Square. Further work should focus on the generalization of these results in applying these methods to other sets of reproducibility tests. The comparison of different pressure sequences shows that the European standards are coherent in the imposed requirements and the given recommendations. In addition, when performing a regression method, one should avoid low-pressure stations as much as possible in order to reduce the airflow rate standard deviation at low- and high-pressure. Even if this work shows and confirms ways to improve the reliability of calculated combined standard uncertainties, there is still an important difference between these and the observed standard deviation. The investigation of such a difference should be a priority for further researchers focusing on airtightness uncertainties

Stress monitoring technology survey - Mad@Work project

The dataset is empirical data about knowledge workers’ perceptions regarding sensor-based stress monitoring and well-being solutions in the work environment collected anonymously in spring 2020 using the Internet and the Questback Inc. online survey tool. In total, 181 responses were obtained from European knowledge workers living in 12 different counties. The answers are listed on the first worksheet and the questions are listed on the second worksheet

Stress monitoring technology survey - Mad@Work project

The dataset is empirical data about knowledge workers’ perceptions regarding sensor-based stress monitoring and well-being solutions in the work environment collected anonymously in spring 2020 using the Internet and the Questback Inc. online survey tool. In total, 181 responses were obtained from European knowledge workers living in 12 different counties. The answers are listed on the first worksheet and the questions are listed on the second worksheet