Laser triangulation is one of the machine vision measurement methods most commonly used in 3D quality control. However, considering its susceptibility to interference, it cannot be used in certain areas of industrial production e.g. very shiny surfaces. Thus, for the improvement of its applicability, a predictive algorithm of light profile segmentation was designed, where - as a result of using a'priori knowledge - the method becomes resistant to secondary reflexes.
The developed technique has been tested on selected parts with surfaces typical for the machine-building industry. The evaluation has been presented based on the surface representation (mapping) error analysis, using the difference between the obtained cloud of points and the nominal surface as processing data, as well as scatter of the discrete Gauss curvature.
Being reflective is one of the most paramount features that EFL (English as a Foreign Language) teachers need to be equipped with in the post-method era for their professional growth and development. The present study aimed to explore reflective teaching from a multi-dimensional perspective in terms of a) determinants that simulates teachers to reflect, b) consequences that teachers experience as a result of their reflective teaching, and c) obstacles that may arise and preclude teachers from reflective teaching. Qualitative data collection method was employed to gather data from 10 EFL teachers triangulating semi-structured interviews, diaries, journal, and observation. Data analysis via MAXQDA led to the emergence of three models for each dimension of the study. The results revealed that teachers not only reflect to respond to a problem, but also they reflect to diminish some negative factors like stress or anxiety on the part of both learners and themselves as well as improving, enhancing, or mending something in teaching or learning. The codes of determinants were also conceptualized into three broad categories of reflection-in-action, reflection-on-action, and reflection-for-action with the reflection-for-action used more frequently by the teachers. In the case of consequences, the codes were classified into two categories of internal and external consequences. It was also concluded that some of the consequences reinforce the reflective teaching and play the role of determinants motivating teachers to reflect again. Regarding the obstacles, after categorizing the codes into external and internal obstacles, it was observed that external factors are more robust.
Investigating human emotions empirically is still considered to be challenging, mostly due to the questionable validity of the results obtained when employing individual types of measures. Among the most frequently used methods to study emotional reactions are self-report, autonomic, neurophysiological, and behavioral measures. Importantly, previous studies on emotional responding have rarely triangulated the aforementioned research methods. In this paper we discuss main methodological considerations related to the use of physiological and self-report measures in emotion studies, based on our previous research on the processing of emotionally-laden narratives in the native and non-native language, where we employed the SUPIN S30 questionnaire as a self-report tool, and galvanic skin response (GSR) as a physiological measure (Jankowiak & Korpal, 2018). The findings revealed a more pronounced reaction to stimuli presented in the native relative to the non-native language, which was however reflected only in GSR patterns. The lack of correlation between GSR and SUPIN scores might have resulted from a number of methodological considerations, such as social desirability bias, sensitive questions, lack of emotional self-awareness, compromised ecological validity, and laboratory anxiety, all of which are thoroughly discussed in the article.
The paper presents an algorithm for the construction of an approximation of a highly nonlinear current-flux characteristic of a synchronous reluctance machine. Such an approximation is required in a Hamiltonian model of an electric machine and the constructed approximation is suited to be used in such a model. It employs a simplicial approximation based on irregular points sets in the spaces of currents and fluxes. The sets are constructed by the iterative insertion of new points. Initially the sets contain an arbitrarily small number of elements. The insertion is based on an approximation error calculation. Based on the sets containing possibly small number of elements, the proposed procedure leads to smooth and precise approximation. Due to the nonlinearity of the approximated characteristics, ambiguities can occur. A method for the triangulation refinement of the sets of currents and fluxes that eliminates them is also presented. In the paper, a reluctance machine model using the constructed approximation is described and compared with a model using the approximation based on regular sets.
en
pl
