Sarajevo, Bosnia and Herzegovina

International University of Sarajevo
Sarajevo, Bosnia and Herzegovina

The International University of Sarajevo is a private university located in the capital city Sarajevo, Bosnia and Herzegovina. The university was established by the Foundation for the Development of Education in 2004-2005. IUS is open to students from all over the world, and the language of instruction and communication is English. It offers four year education according to Bologna system .IUS has nearly 2000 students from 40 countries and faculty members from 20 countries performing academic and research activities in various disciplines of Science, Engineering, Arts and Social science. First generation of 32 IUS graduates received their diplomas on June 26, 2009.IUS has the largest and modern campus in the region.The majority of the students attending the university are Turkish citizens. Students from Bosnian national background are favoured in fees and scholarships. Wikipedia.

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Sharif M.H.,International University of Sarajevo
Journal of Circuits, Systems and Computers | Year: 2017

Analysis of flows in crowd videos is a remarkable topic with practical implementations in many different areas. In this paper, we present a wide overview of this topic along with our own approach to this problem. Our approach treats the difficulty of crowd flow analysis by distinguishing single versus multiple flows in a scene. Spatiotemporal features of two consecutive frames are extracted by optical flows to create a three-dimensional tensor, which retains appearance and velocity information. Tensor's upper left minor matrix captures intensity structure. A normalized continuous rank-increase measure for each frame is calculated by a generalized interlacing property of the eigenvalues of these matrices. In essence, measure values put through the knowledge of existing flows. Yet they do not go into effect desirably due to optical flow estimation error and some other factors. A proper set of the degree of polynomial fitting functions decodes their existence. But how can we estimate that set? Its detailed study is performed. Zero flow, single flow, multiple flows, and interesting events are detected as frame basis using thresholds on the polynomial fitting measure values. Plausible mean outputs of recall rate (88.9%), precision rate (86.7%), area under the receiver operating characteristic curve (98.9%), and accuracy (92.9%) reported from conducted experiments on PETS2009 and UMN benchmark datasets make clear and visible that our method gains high-quality results to detect flows and events in crowd videos in terms of both robustness and potency. © 2017 The Author(s).

Palalic R.,International University of Sarajevo
World Review of Entrepreneurship, Management and Sustainable Development | Year: 2017

This study examines the entrepreneurial leadership and business performance in gazelles and mice, using stratified purposive sampling from three sectors: manufacturing, sales and services. Findings suggest that gazelles are more in favour of applying entrepreneurial leadership compared to mice. However, both of them need improvement. Gazelles need to maintain a constant sustainable growth in the market while mice should transform themselves into gazelles. It can be done by creating a positive synergetic effect of entrepreneurial leadership to business performance in both types of firms, in the long term. Likewise, Bosnian government should pave the way for better business surroundings and to promote entrepreneurship development in the region. On the contrary, the government of Bosnia and Herzegovina (B&H) seems to maintain a status quo or even tends to shackle the entrepreneurial activities and opportunities in its business environment. Copyright © 2017 Inderscience Enterprises Ltd.

Agency: European Commission | Branch: H2020 | Program: CSA | Phase: GERI-4-2015 | Award Amount: 2.28M | Year: 2016

Increasing the participation of women in research, and promoting gender equality, is vital in strengthening the competitiveness of European research. A greater involvement of women in research will contribute not only to an increased number of skilled researchers in our institutions, but will also add a different perspective to research programmes, promote diversity, improve descion-making and contribute to enhanced creativity and innovation. This view informs the focus of this high-level consortium, who wish to work together to introduce and develop gender-sensitive organisational cultures and practices in our respective universities, thus effecting a sustainable and systemic structural change in how our institutions function. The ultimate objective of the structural change process is to work towards improved decision-making and enhanced research capacity by: incorporating gender-sensitive practices, processes and procedures in research, and; developing balanced representation of both women and men in institutional decision-making. Through the design and implementation of Gender Equality Plans, SAGE partner institutions will uncover, assess, and address the barriers to equal participation of women and men in research and decision making. SAGE is designed using the concepts and methodology of structural change to deliver a more equitable research landscape. The composition of the consortium will allow for transfer of learning, thus increasing the efficacy of Gender Equality Plans and their capacity to deliver greater gender balance and gender awareness in research and decision making.

Sharif M.H.,International University of Sarajevo
Digital Signal Processing: A Review Journal | Year: 2016

Suppose that we wish to get a comprehensive match of a target in the next frame. Where would we search the target in the next frame? Brute-force search has an asymptotic runtime of O(n!) with problem size n. Yet we can search the target only from a number of automatically generated specific regions, named candidate regions, in the next frame. But how can we get those regions? Deeming the silhouettes of movers, this paper denotes a detailed deliberation of how to generate those candidate regions automatically and then how to track unknown number of individual targets with them. Phase-correlation technique aids to find the key befitting matches of the targets using them. Hungarian method in combination with a state estimation process called Kalman filter finds the best correspondence of the targets among those matches, allowing us to construct full trajectories of unknown number of individual targets in 3D space irresistibly swift as compared to brute-force search since the relative runtime reduced from O(n!) to O(n3). Favorable outcomes, upon conducting experiments on videos from three different datasets, show the robustness and effectiveness of our approach. © 2016 Elsevier Inc.

Kusakci A.O.,International University of Sarajevo
11th Symposium on Neural Network Applications in Electrical Engineering,NEUREL 2012 - Proceedings | Year: 2012

Authorship attribution, namely determination of the author of a text, may become an extraordinarily complex and sensitive job due to its relatively difficult feature extraction phase and highly nonlinear nature. This paper proposes a classification tool using committee machines consisting of multilayered perceptron neural networks (MLP) to identify the author of a text. Each expert is an individual MLP learning complex input-output relation composed of 14 lexical, stylometric attributes extracted from the corpus. The resulting mapping after training is used to identify the texts in German language written by two different authors. Unlike other committee based classification tools individual answers of the experts are combined with a novel voting method, k-nearest neighbors rated voting. The proposed method shows very promising results when benchmarked with simple majority voting technique. © 2012 IEEE.

Findik F.,Sakarya University | Findik F.,International University of Sarajevo
Materials and Design | Year: 2012

Spinodal decomposition is regarded as small composition fluctuations over a large space, while a classical nucleation process is categorized by large composition fluctuations over a small space. Since the recent phases form the interface transversely by a permanent diffusional process with a steady alteration in composition, they must contain analogous crystal structures of the unique solid solution and be primarily coherent. The consequential microstructure contains a homogeneous distribution of diminutive, coherent interconnected particles. Experimental annotations have revealed that spinodal decomposition arises in metallic, glass and polymer structures. In this study, after detection the theories of spinodal reactions and hardening mechanisms experimental research and numerical studies on spinodal decomposition are reviewed for the last five decades. Also, future developments in spinodal decomposition are predicted and criticized in an outlook. © 2012 Elsevier Ltd.

Findik F.,International University of Sarajevo | Findik F.,Sakarya University | Turan K.,International University of Sarajevo
Materials and Design | Year: 2012

Selection of appropriate materials for a distinct mechanism is one of the most difficult duties in the design and product developments in various industrial applications. Materials play a critical and significant role during the complete design and manufacturing process. Incorrect selection of materials frequently leads to enormous cost connection and eventually results in product failure. Therefore, the designers are required to recognize and select appropriate materials with specific functionalities in order to achieve the desired output with minimum cost involvement and specific applicability. This paper attempts to solve the materials selection problem using the recent weighted property index method (WPIM) to select the materials for lighter wagon design. In this method five different properties are selected as required characteristics including density, cost, specific stiffness, corrosion and wear resistance. Then they were optimized using the weighted property index method. Due to the low density, corrosion resistance and convenient specific stiffness aluminum, magnesium, and titanium alloys were considered as substitutes for steel substitution in the problem. As a result of the present weighted property index method, Al alloys were found to be the best materials for lighter wagons. The selected materials agreed almost completely with those obtained by previous authors. © 2012 Elsevier Ltd.

Koker R.,Sakarya University | Koker R.,International University of Sarajevo
Information Sciences | Year: 2013

The solution of the inverse kinematics problem is fundamental in robot control. Many traditional inverse kinematics problem solutions, such as the geometric, iterative, and algebraic approaches, are inadequate for redundant robots. Recently, much attention has been focused on a neural-network-based inverse kinematics problem solution in robotics. However, the precision of the result obtained from a neural network requires improvement for certain sensitive tasks. In this paper, neural network and genetic algorithms are used together to solve the inverse kinematics problem of a six-joint Stanford robotic manipulator to minimize the error at the end effector. The proposed hybrid approach combines the characteristics of neural networks and evolutionary techniques to obtain more precise solutions. Three Elman neural networks were trained using separate training sets because one of the sets yields better results than the other two. The floating-point portions of each network were placed in the initial population of the genetic algorithm with the floating-point portions from randomly generated solutions. The end-effector position error was defined as the fitness function, and the genetic algorithm was implemented. Using this approach, the floating-point portion of the neural-network result was improved by up to ten significant digits using a genetic algorithm, and the error was reduced to micrometer levels. These results were compared with those from studies in the literature and found to be significantly better. © 2012 Elsevier Inc. All rights reserved.

Kusakci A.O.,International University of Sarajevo | Can M.,International University of Sarajevo
Computers and Operations Research | Year: 2013

Although most of unconstrained optimization problems with moderate to high dimensions can be easily handled with Evolutionary Computation (EC) techniques, constraint optimization problems (COPs) with inequality and equality constraints are very hard to deal with. Despite the fact that only equality constraints can be used to eliminate a certain variable, both types of constraints implicitly enforce a relation between problem variables. Most conventional constraint handling methods in EC do not consider the correlations between problem variables imposed by the problem constraints. This paper relies on the idea that a proper genetic operator, which captures mentioned implicit correlations, can improve performance of evolutionary constrained optimization algorithms. With this in mind, we employ a (μ+λ)-Evolution Strategy with a simplified variant of Covariance Matrix Adaptation based mutation operator along an adaptive weight adjustment scheme. The proposed algorithm is tested on two test sets. The outperformance of the algorithm is significant on the first benchmark when compared with five conventional methods. The results on the second test set show that algorithm is highly competitive when benchmarked with three state-of-art algorithms. The main drawback of the algorithm is its slightly lower speed of convergence for problems with high dimension and/or large search domain. © 2013 Elsevier Ltd.

Poljac E.,Catholic University of Leuven | Poljac E.,International University of Sarajevo | Montagne B.,Radboud University Nijmegen | de Haan E.H.F.,University of Amsterdam
Cortex | Year: 2011

Post-traumatic stress disorder (PTSD) is associated with impairments in emotional experience and expression. The current study examined the recognition of emotional facial expressions in PTSD patients and matched healthy controls, both in terms of accuracy and sensitivity. The task involved short video clips of a neutral face changing (morphing) into one of the six basic emotions (happiness, anger, fear, surprise, disgust and sadness). Clips differed in length, with short clips terminating at 20% of maximum emotional intensity, and the longest ones ending with a full-blown expression. We observed a specific impairment in the PTSD group for recognizing the emotions fear and sadness. This result was observed via a reduced accuracy and a decreased sensitivity for these emotions. We discuss the observed altered affective processing and its possible clinical implications. © 2010 Elsevier Srl.

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