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Publikacije (78)

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Z. Avdagić, Senad Cernica, S. Konjicija

This paper examines capabilities of Artificial Neural Network (ANN) regarding control of a heavy vehicle seat with semi-active damper. Matlab and its sub-application Simulink are used as a tool for developing simulation model of the driver seat in the heavy vehicles. The seat model with semiactive damper is built modularly by forming each of its components separately. Designed control model was tested in Matlab/Simulink, and then was verified on experimental setup, installed on the Department for Automatic Control of the Friedrich Alexander University in Erlangen Nuirnberg. After introductory remarks, this work considers description of the seat with semi active damper including mechanical characteristics and mathematical description of major components, theoretical remark about ANNs, control system description and implementation on experimental setup, using dSPACE module.

Bosnia and Herzegovina is very rich with cultural heritage sites. Perhaps the most famous of these are the stecaks; the monumental gravestones of Bosnian Heretic Christians. The orientation of the stećaks was important to the ancient Bosnians, Unfortunately, their orientation towards the sun has been changed when they were moved from their original locations to more secure sites at museums. This is particularly true of the stećak from Donje Zgosce, one of the most beautiful stećaks in B&H. Using high-fidelity graphics techniques we have created a detailed virtual reconstruction of this stećak and produced a sun simulation in Maya This enables archaeologists to be able to investigate the interaction of the light with the stećak’s carvings as it may have appeared in 14 century.

Nedzad Dukic, Z. Avdagić

In this paper we establish equivalence between a theory of fuzzy functional dependences and a fragment of fuzzy logic. We give a way to interpret fuzzy functional dependences as formulas in fuzzy logic. This goal is realized in four steps. Truth assignment of attributes is defined in terms of closeness between two tuples in a fuzzy relation. A corresponding fuzzy formula is associated to a fuzzy functional dependence. It is proved that if a relation satisfies a fuzzy functional dependence, then the corresponding fuzzy formula is satisfied and vice verse. Finally, equivalence of a fuzzy formulas and a set fuzzy functional dependence is demonstrated. Thus we are in position to apply the rule of resolution from fuzzy logic, while calculating fuzzy functional dependences.

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