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1.

Empirical Modelling of Refraction Error in Trigonometric Heighting Using Meteorological Parameters D. Gaifillia, V. Pagounis, M. Tsakiri, V. Zacharis Journal of Geosciences and Geomatics. 2016 4 (1). doi: 10.12691/jgg-4-1-2 Keywords: refraction coefficient, trigonometric heighting, meteorological parameters, empirical model Context: Refraction is a complex problem in terrestrial optical measurement and can be regarded as a major source of systematic error in the precise determination of height differences using trigonometric heighting. This paper deals with the development of a... Abstract Full Text (PDF) [Epub] Full Text (HTML)

2.

Accurately Precise and Precisely Accurate: An Experimental Comprehension Shaikh. Mohiuddin, Zahida Karim World Journal of Chemical Education. 2015 3 (2). doi: 10.12691/wjce-3-2-3 Keywords: accuracy, precision, second year undergraduate, analytical chemistry, graduate education/research Context: ...otometers is also compared. Repeatability and reproducibility are also explained and calculated using the same data. Presence of systematic error or accuracy of experiment is statistically assessed without doing further experimentation. The whole study is optionally sup... Abstract Full Text (PDF) [Epub] Full Text (HTML)

3.

Acceptance and Re-verification Test of Length Metroscope Tatiana Kelemenová, Michal Kelemen, Miková Lubica, Ivan Virgala, Vladislav Maxim, Tomáš Lipták, Milan Lorinc American Journal of Mechanical Engineering. 2014 2 (7). doi: 10.12691/ajme-2-7-21 Keywords: metrology, measurement, systematic error , gauge blocks Context: ...oscope. The metroscope has been used very frequently for exercises in subject – Engineering Metrology at the bachelor study. New systematic error s have been obtained from calibration process. Other measurements have been also realized and corrections of results have bee... Abstract Full Text (PDF) [Epub] Full Text (HTML)

4.

Diagnostics of Product Defects by Clustering and Machine Learning Classification Algorithm Kamil Židek, Vladislav Maxim Journal of Automation and Control. 2015 3 (3). doi: 10.12691/automation-3-3-11 Keywords: inspection, clustering, machine learning, image processing Context: ...atic surface errors. The main idea is to propose a methodology for the automated identification, diagnostics and localization of systematic error s in mass production. The introduced methodology consists of three levels: image processing for error parameterization, clust... Abstract Full Text (PDF) [Epub] Full Text (HTML)