Search

People spend more than 80% of their days indoors, with limited air circulation, and this percentage varies depending on the season, age, gender, and type of activity performed. Air pollution depends on the structural features of the building, the absence of automated ventilation systems, vehicular traffic in the area, and internal sources of pollution. An experimental model has been developed to analyze the concentration of particulate matter indoors. The least-squares method to determine the relationship between the dependent variable and the independent variables is used. Modeling was performed using the software STATGRAPHICS.

This report presents software optimization of the GW Instek AFG-2005 functional generator by providing functionality to it to perform control on vibration impact system. The generator is controlled via the LabVIEW software environment. The difficulties that arose during the optimization and their solution are presented.

The report presents the methodology and difficulties in developing a capacitive transducer for angular displacement. Experimental studies of the developed converter are presented, as the measurement of the capacity is performed by two independent methods. Mathematical models are derived giving the relationship between the value of the capacitance and the area of overlap and the distance between the electrodes.

The paper presents the hardware and software part of the developed virtual measurement system for automatic recording of the change of the temperature change from multiple transducers. An algorithm of the working process of the virtual measurement system is shown.

in this article, two panels of recyclable materials have been developed and studied, one panel being coated with Plexiglas and the other with a Fresnel lens. The temperature is measured with thermocouples type K. For several consecutive days measurements were performed at different intensities of sunshine. It has been shown that the use of a Fresnel lens to heat the air in the prepared panel with sunlight is not effective.

The size of the dust particles, their chemical composition and the elements adsorbed on their surface directly affect the health of people. Different models and systems are used for monitoring and forecasting dust pollution levels. In the presented work a linear multiple regression model is developed to reveal a causal relationship between the concentration of PM10 and the following independent variables: average daily air temperature, average daily solar radiation, wind speed, wind direction, aver-age daily atmospheric pressure. STATGRAPHICS statistical software package was used to perform the necessary analyzes and calculations.