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Quality Control of Body Measurement Data Using Linear Regression Methods

Bicevskis Janis, Bicevska Zane, Diebelis Edgars, Purina Liva

Annals of Computer Science and Information Systems

2024

Vol. 39

289–-300

Determining the accuracy of measurements for different types of objects is a complex task because (1) allowable deviations depend on the intended use of the measurements, and (2) different applications use different methods to identify incorrect measurements. In the construction of clothing patterns, up to 50 different human body measurements are used, and each person is unique. Therefore, it is difficult to draw conclusions from a specific set of measurements as to whether the included measurements are correct or not. In this study, the quality of body measurement data is being verified using linear regression methods. Linear regression models are trained with 80\% of the entire dataset, while the remaining 20\% is used for testing. The obtained results have been validated on a real dataset, and they allow for predicting missing or inaccurate body measurements with sufficiently high accuracy.

Acoustic Study of REpower MM92 Wind Turbines During Exploitation

Kłaczyński M., Wszołek T.

Archives of Acoustics

2014

Vol. 39, No. 1

3--10

The paper presents the current state of knowledge concerning the sources of noise generated by wind turbines, force measurement methodology, and assessment of noise onerousness in this type of installation, on the basis of a study concerning a wind farm with five REpower MM92 wind turbines and the electric power of 2 MW and the sound power level of 104.2 dB(A) each. Particular attention was focused on the often discussed problem of presence of infrasound generated by turbines and on the requirements of the applicable reference methodologies for the measurement of wind speed to 5 m/s, while the turbine reaches its full power at speeds above 10 m/s.