Research background: Export activities are crucial for SMEs' growth and income since they enable businesses to expand abroad. However, SMEs encounter some export impediments, including legislative, tax-related, and cultural-linguistic differences, which increase their export risk. Moreover, since different legislative, tax-related, and cultural conditions affect SMEs' export activities, SMEs' perceptions regarding export obstacles might also differ. Purpose of the article: This paper aims to determine whether the SMEs' perceptions of export barriers in selected Visegrad countries differ. Methods: The researchers employ a random sampling method to create the research sample and create an Internet-mediated questionnaire to collect the re-search data, including 408 SMEs from the Czech Republic, Slovakia, and Hungary. The researchers ran ANOVA analyses with the Gabriel Post Hoc test to find differences between those SMEs. Findings & value added: The results reveal that the perceptions of Czech and Slovak SMEs differ regarding legislative and tax-related export barriers. On the other hand, the perceptions of SMEs from various countries do not differ concerning cultural-linguistic export barriers. Unfortunately, there is a lack of studies comparing the perceptions of SMEs from Visegrad countries regarding legislative, tax-related, and cultural barriers. Thus, evaluating this topic from an international perspective brings novel findings and fills this research gap. Therefore, policymakers, SMEs, governments, public institutions, and academicians might gain benefits from the results of this unique research.

Existing systems for the control of mould level of continuous steel casting in Czech Steelworks have had problems with the stability of the steel level position. A new control algorithm is designed on the basis of mathematical modelling and digital simulation. This should better satisfy the actual demand on the control quality. A PI controller with a variable gain and dither signal was used. During several months of practical tests and the experimental tuning of the controller, parameters were determined regarding the required shape time diagram of the steel level for all types of steels, resulting in very good slab surface quality.

In our study, the agreement between 2 examiners in the evaluation of 2D and 3D sonographic parameters related to plaque stability was good to excellent. The sonographic measurement of plaque volume growth was the most accurate parameter; therefore, 3D sonography may be used for risk assessment of plaques in the future.

Ph.D. study at the same place, Ph.D. thesis: " Optimal Control of Industrial Robots". From the year 1991 till now he works at the Department of Control System and Instrumentation, from the year 2007 as a Professor. From the year 2008 he works as a dean of the Faculty of Mechanical Engineering. The scientific and technical sight: He is focused on special areas of software development for system simulation, information systems and database systems and also QMS and TQM system application. doc. Ing. Lačezar Ličev, CSc.

This paper deals with the application of Fuzzy Transform in Control System Identification. The fuzzy transform method is design as a pair of two transform. The first one maps a continuous function to a real vector. The second one, inverse transform, is naturally a mapping from the space of real vectors to the space of continuous function. Later on, more and more applications had been appearing to be appropriate because of several valuable properties which are typical for the method. This paper proposes a short overview of these valuable properties. It however, avoids technical and mathematical details since they are not crucial for such a technical paper. Our main task is to introduce the method to practitioners, present its applications for smoothing of measured courses of output variables of control systems. Processed courses are used to control system identification. An example of Humusoft helicopter model identification is described in the paper with the purpose to show how to apply the Fuzzy Transform for smoothing of functions.