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Browsing by Subject "raw data"

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  • thumbnail.journal.alt
    Item type:Article, Access status: Open Access ,
    Application of electrical capacitance tomography system for non-invasive phases distribution detection in gas-liquid mixtures
    (Wydawnictwa AGH, 2010) Fidos, Henryk; Wajman, Radosław; Banasiak, Robert; Sowiński, Jarosław; Sankowski, Dominik
    The aim of this paper is to show the capabilities of the Electrical Capacitance Tomography (ECT) system as a technique for real-time three-dimensional examination of the parameters of the two phase flow structure. The main advantages of the ECT method over other techniques is a fact that this is a non-invasive, non-intrusive and, in addition, a very fast technique for investigation of the distribution of any dielectric materials. The ECT image provides the information about the flow fraction profile. Due to the high speed of ECT measurements it is possible to find out the velocity profile and mass flow rate.
  • thumbnail.journal.alt
    Item type:Article, Access status: Open Access ,
    Extracting class diagram from hidden dependencies in data set
    (Wydawnictwa AGH, 2020) Hnatkowska, Bogumiła; Huzar, Zbigniew; Tuzinkiewicz, Lech
    A conceptual model is a high-level, graphical representation of a specic domain, presenting its key concepts and relationships between them. In particular, these dependencies can be inferred from concepts' instances being a part of big raw data files. The paper aims to propose a method for constructing a conceptual model from data frames encompassed in data files. The result is presented in the form of a class diagram. The method is explained with several examples and verified by a case study in which the real data sets are processed. It can also be applied for checking the quality of a data set.