The University of Bihać is a public institution of higher education founded on 28 July 1997, in Bosnia and Herzegovina. The seat of the university is located in the Kulina bana street 22008, 4,881 students were enrolled, 3,407 of which were full-time students and 1,474 part-time students. Since 2006/2007, students have been enrolled in studies according to the principles of the Bologna declaration. The implementation of this principle is burdened with many problems. However, considering the enrollment policy, classes are mostly conducted in line with the Bologna system. This means that class sizes are narrowed to the minimum number permissible, and as such, students are able to receive more direct feedback from teachers and lecturers. Wikipedia.
Cosic J.,University of Bihac
Intelligent Systems Reference Library | Year: 2017
In this chapter author will try to explain the concept of acceptability of digital evidence, and presents the research results on the subject of acceptability of digital evidence in courts in Bosnia and Herzegovina. The purpose is to gain insight into the manner in which judges resonate during making decision on the (not)acceptability of digital evidence, and explore current situation when acceptability and maintaining the chain of custody comes in question. Within the chapter results of preliminary research conducted at the courts in Bosnia and Herzegovina will be presented, on the subject of a digital evidence acceptability in criminal procedure. At the end of chapter will be proposed a model which can help and support forensic investigator, court experts and finally the judges to decide of admissibility of digital evidence more clearly and systematically, using scientific methods and tools. © Springer International Publishing AG 2017.
Ramakic A.,University of Bihac |
Toroman A.,University of Bihac
IFMBE Proceedings | Year: 2017
In this work, we address a problem of people identification. People identification is an important feature in various application like using in banks, airports, border crossings etc. For purpose of people identification today are used different methods such as face recognition, fingerprint, scanning of eye retina, voice recognition etc. The most of these methods require interaction with people while one method, people gait recognition, can be proceeding even without awareness of people who is in process of identification. Because of that, people gait recognition is interesting field in identification process and biometrical techniques. Our approach for this imply using Kinect sensor from Microsoft and Matlab high level technical computing language. For image classification we use bag of features or bag of words. Process consists of extracting regions, compute descriptors, find clusters, and compute distance matrix and using SVM (Support Vector Machine) for Classification. Dataset which is used in this process is also created with Kinect sensor. © Springer Nature Singapore Pte Ltd. 2017.
Jacimovic V.,University of Montenegro |
Crnkic A.,University of Montenegro |
Crnkic A.,University of Bihac
Physica D: Nonlinear Phenomena | Year: 2017
It is well-known now that dynamics of large populations of globally (all-to-all) coupled oscillators can be reduced to low-dimensional submanifolds (WS transformation and OA ansatz). Marvel et al. (2009) described an intriguing algebraic structure standing behind this reduction: oscillators evolve by the action of the group of Möbius transformations. Of course, dynamics in complex networks of coupled oscillators is highly complex and not reducible. Still, closer look unveils that even in complex networks some (possibly overlapping) groups of oscillators evolve by Möbius transformations. In this paper, we study properties of the network by identifying Möbius transformations in the dynamics of oscillators. This enables us to introduce some new (statistical) concepts that characterize the network. In particular, the notion of coherence of the network (or subnetwork) is proposed. This conceptual approach is meaningful for the broad class of networks, including those with time-delayed, noisy or mixed interactions. In this paper, several simple (random) graphs are studied illustrating the meaning of the concepts introduced in the paper. © 2017 Elsevier B.V.
Jacimovic V.,University of Montenegro |
Crnkic A.,University of Bihac
Physics Letters, Section A: General, Atomic and Solid State Physics | Year: 2017
In 2010 Kato and Jones described a new family of probability distributions on circle, obtained as Möbius transformation of von Mises distribution. We present the model demonstrating that these distributions appear naturally in study of populations of coupled oscillators. We use this opportunity to point out certain relations between Directional Statistics and collective motion of coupled oscillators. © 2017 Elsevier B.V.
Zapcevic S.,University of Bihac |
Butala P.,University of Johannesburg |
Butala P.,University of Ljubljana
International Journal of Advanced Manufacturing Technology | Year: 2013
To survive in the highly competitive global economy, manufacturing systems must be able to adapt to new circumstances. An important prerequisite for adaptation is the ability to learn, a process based on knowledge discovery and growth. The aim of this research is to uncover knowledge by examining a large volume of real-time manufacturing data collected during manufacturing operations and to use the insights gained to support decision-making and adaptive process control. The paper presents the concept of a self-learning autonomous work system. This concept introduces a learning loop into a manufacturing system composed of data acquisition, data mining (DM), and knowledge-building models. Two methods for DM are applied. A descriptive DM method enables discovery of patterns in data that may contribute to a better understanding of the manufacturing processes. A predictive process provides knowledge in the form of rules, which can then be used for enhanced decision-making. To illustrate the utility of the knowledge models, the concept of adaptive process control is introduced and implemented in a high pressure die-casting domain. A case study based on industrial data collected during die-casting operations provides a demonstration of the concept. © 2012 Springer-Verlag London Limited.
Fatkic E.,University of Bihac |
Gersak J.,University of Maribor |
Ujevic D.,University of Zagreb
Fibres and Textiles in Eastern Europe | Year: 2011
The contribution deals with the influence of selected knitting parameters and the relaxation period on the structure and mechanical properties of plain jersey weft knitted fabrics made of cotton and elastane yarns. There are considerable differences in the behaviour of conventional knitted fabrics and fabrics with elastane yarns incorporated in the structure. Since one of the key factors in knitting is certainly the knitting yarn feeding load - it impacts the structure and properties of such knitted fabrics, the contribution presents the influence of the knitting yarn feeding load on the alteration in the mechanical properties of plain jersey weft knitted fabrics. The results of the investigation indicate that the horizontal and vertical density and the fabric weight grow with a prolonged relaxation period and increase in the knitting yarn feeding load. Increasing the knitting yarn feeding load reduces the length of yarn in the loop. If cotton yarn is platted with elastane yarn, the length of the yarn in the loop is reduced by about 2 to 5%, as compared with yarn in a course without elastane yarn. The most prominent dimensional changes in the course and wales direction occurred for samples knitted with the highest feeding load of yarns. The best results of measuring structural parameters and dimensional changes in knitted fabrics during relaxation were exhibited by knitted samples with the lowest feeding load. Therefore, the feeding load of yarns should be taken into account when constructing knitted fabrics as it considerably affects fabric properties.
Klancnik S.,University of Maribor |
Brezocnik M.,University of Maribor |
Balic J.,University of Maribor |
Karabegovic I.,University of Bihac
Materials and Manufacturing Processes | Year: 2013
This article proposes asystem for theautomatic programming of a CNC milling machine by particle swarm optimization (PSO). In the presented research, each individual swarm particle presents a possible numerical control (NC) program. Voxel representation of machining area was used. Bresenham's algorithm was implemented, for the rasterization of the cuts. Optimisation with PSO was carried out within a voxelized machining area. The system automatically finds the NC program for optimal machining. The NC program guarantees an optimal selection of tools, the shortest possible work and rapid motions, and minimization of the manufacturing time, thus achieving a reduction in machining costs and increased productivity. Testing using test workpieces and 2.5 D milling confirmed the efficiency of the proposed approach. The proposed intelligent system is easily adaptable for programming other types of CNC machines by PSO. © 2013 Taylor and Francis Group, LLC.
Tenenbaum J.,Boston University |
Horvatic D.,University of Zagreb |
Bajic S.C.,Polytechnic of Zagreb |
Pehlivanovic B.,University of Bihac |
And 2 more authors.
Physical Review E - Statistical, Nonlinear, and Soft Matter Physics | Year: 2010
In developed economies, the sign of the price increment influences the volatility in an asymmetric fashion-negative increments tend to result in larger volatility (increments with larger magnitudes), while positive increments result in smaller volatility. We explore whether this asymmetry extends from developed economies to European transition economies and, if so, how such asymmetry changes over time as these transition economies develop and mature. We analyze eleven European transition economies and compare the results with those obtained by analyzing U.S. market indices. Specifically, we calculate parameters that quantify both the volatility asymmetry and the strength of its dependence on prior increments. We find that, like their developed economy counterparts, almost all transition economy indices exhibit a significant volatility asymmetry, and the parameter γ characterizing asymmetry fluctuates more over time for transition economies. We also investigate how the association between volatility and volatility asymmetry varies by type of market. We test the hypothesis of a negative correlation between volatility and volatility asymmetry. We find that, for developed economies, γ experiences local minima during (i) "Black Monday" on October 19, 1987, (ii) the dot-com bubble crash in 2002, and (iii) the 2007-2009 global crisis while for transition economies, γ experiences local maxima during times of economic crisis. © 2010 The American Physical Society.
Hamzabegovic J.,University of Bihac |
Kalpic D.,University of Zagreb
Proceedings of the 12th International Conference on Telecommunications, ConTEL 2013 | Year: 2013
Among the plenty of educational software, therapeutic software for dyslexia is not so abundant. The paper considers two different approaches to development of software for supporting specific learning difficulties. One could be offering of visual end user programming tools to speech and language pathologists so that they could develop specific software applications customized for their patients. The other approach could be the engagement of students majoring in educational sciences who are studying informatics as their secondary discipline to develop applications. Paper presents concept of end user development environment aimed for speech and language pathologistsas well as educational pilot-applications developed by the students. © 2013 University of Zagreb.
Karabegovic I.,University of Bihac |
Karabegovic E.,University of Bihac |
Husak E.,University of Bihac
Tehnicki Vjesnik | Year: 2013
In order to see the role of industrial robot in a manufacturing process and to see which manufacturing processes have the highest industrial robot application, industrial robot application in Asia/Australia has been analysed. Automation and modernization of a manufacturing process in any industrial branch is impossible without industrial robot application. In Asia, it has been known for years, and this paper will prove it. Annual and total industrial robot application has been analysed in the following manufacturing processes: handling material operations, welding, assembly, processing, dispensing and the other/ undefined, where robots could not be classified in the manufacturing process. Industrial robot application of the leading Asian countries has been analysed, those with the developed industry and others with industry in the developing stages, where the automation and modernization of the manufacturing process is performed. This paper provides a comparative analysis of the industrial robot application in the last three years, at the annual level and the total number (operational stock) of the industrial robot applications. The percentage reference is given of the industrial robot applications in different industrial branches in 2010. It also provides the prediction analysis of the industrial robot applications in the following period till 2014.