It is well known that the process of tuning a fuzzy logic controller is almost always a very complex task, which is time consuming, very laborious and often requires expert knowledge of the controlled system. Mapping of fuzzy logic controller's parameters (rule base and membership functions of input(s) and output(s)) into a performance measure in a closed analytical form is near impossible to get, and thus the use of any classical optimization method is automatically ruled out. Knowing this, genetic algorithms with a fitness function in a form of cumulative response error represent a good choice of the optimization method. This approach enables the use of offline optimization of membership functions' parameters (which are being coded into chromosomes). Sugeno-Takagi fuzzy logic controllers with a proportional and a derivative component, and also with a fixed rule base are used in this approach. Experimental results of both simulations and validations on real systems are given in this paper and they show the good performance of this approach.

This paper establishes a procedure for numerical analysis of a hip joint using the finite volume method. Patient-specific hip joint geometry is segmented directly from computed tomography and magnetic resonance imaging datasets and the resulting bone surfaces are processed into a form suitable for volume meshing. A high resolution continuum tetrahedral mesh has been generated, where a sandwich model approach is adopted; the bones are represented as a stiffer cortical shells surrounding more flexible cancellous cores. Cartilage is included as a uniform thickness extruded layer and the effect of layer thickness is investigated. To realistically position the bones, gait analysis has been performed giving the 3D positions of the bones for the full gait cycle. Three phases of the gait cycle are examined using a finite volume based custom structural contact solver implemented in open-source software OpenFOAM.

Tuzla Canton (TC) has experienced a certain economic transformation and gradually started turning from an industrial region into a region of tertiary and quaternary activities, also notable in the strategic documents of the Canton. The present research was conducted during the years 2012 and 2013 with the aim of determining the attitudes of employees in the tourism sector of TC regarding the condition, i.e. the prospects of TC tourism. In July of 2012, using a structured questionnaire, persons employed in travel agencies and TC hotels were surveyed in relation to the following issues: what is, in their own opinion, the determining factor for a tourist in choosing a tour package in TC as a destination; how would they assess the tourist’s motives for choosing TC as a destination; how would they characterize (assess) the value factors of the TC tourist offer. The conducted research indicates that employees in the tourism industry have formed perceptions of TC as a tourist destination: it is a destination where tourists feel pleasant and happy to stay at; it has outstanding natural attractions, a welcoming environment and solid accommodation and catering potentials. However, elements that need improving and further development are highlighted as well. Methods used for collecting, processing and analyzing data are: historical, descriptive, comparative. Frequency analysis was conducted using the SPSS statistical program (version 20). The research results can help the tourist destination management, in this case TC, but also all segments of the tourism industry of TC, improve their offer and communication with a potential tourism market.