Sarajevo, Bosnia and Herzegovina

Sarajevo School of Science and Technology
Sarajevo, Bosnia and Herzegovina

Sarajevo School of Science and Technology is a private university, located in metropolitan Sarajevo, Bosnia and Herzegovina, within the town of Ilidža. The university offers bachelor's degrees, master's degrees and doctorate degrees.The university is in partnership with University of Buckingham of the United Kingdom.The Sarajevo School of Science and Technology is an English language-based university. Wikipedia.

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Bolhuis H.,Netherlands Institute for Sea Research | Martin-Cuadrado A.B.,University Miguel Hernández | Rosselli R.,University Miguel Hernández | Pasic L.,Sarajevo School of Science and Technology | Rodriguez-Valera F.,University Miguel Hernández
BMC Genomics | Year: 2017

Background: Haloquadratum walsbyi dominates saturated thalassic lakes worldwide where they can constitute up to 80-90% of the total prokaryotic community. Despite the abundance of the enigmatic square-flattened cells, only 7 isolates are currently known with 2 genomes fully sequenced and annotated due to difficulties to grow them under laboratory conditions. We have performed a transcriptomic analysis of one of these isolates, the Spanish strain HBSQ001 in order to investigate gene transcription under light and dark conditions. Results: Despite a potential advantage for light as additional source of energy, no significant differences were found between light and dark expressed genes. Constitutive high gene expression was observed in genes encoding surface glycoproteins, light mediated proton pumping by bacteriorhodopsin, several nutrient uptake systems, buoyancy and storage of excess carbon. Two low expressed regions of the genome were characterized by a lower codon adaptation index, low GC content and high incidence of hypothetical genes. Conclusions: Under the extant cultivation conditions, the square hyperhalophile devoted most of its transcriptome towards processes maintaining cell integrity and exploiting solar energy. Surface glycoproteins are essential for maintaining the large surface to volume ratio that facilitates light and organic nutrient harvesting whereas constitutive expression of bacteriorhodopsin warrants an immediate source of energy when light becomes available. © 2017 The Author(s).

Ramic-Brkic B.,Sarajevo School of Science and Technology | Chalmers A.,University of Warwick
ACM Transactions on Applied Perception | Year: 2014

Visual perception is becoming increasingly important in computer graphics. Research on human visual perception has led to the development of perception-driven computer graphics techniques, where knowledge of the human visual system (HVS) and, in particular, its weaknesses are exploited when rendering and displaying 3D graphics. Findings on limitations of the HVS have been used to maintain high perceived quality but reduce the computed quality of some of the image without this quality difference being perceived. This article investigates the amount of time for which (if at all) such limitations could be exploited in the presence of smell. The results show that for our experiment, adaptation to smell does indeed affect participants' ability to determine quality difference in the animations. Having been exposed to a smell before undertaking the experiment, participants were able to determine the quality in a similar fashion to the "no smell" condition, whereas without adaptation, participants were not able to distinguish the quality difference. © 2014 ACM.

Hulusic V.,Sarajevo School of Science and Technology | Debattista K.,University of Warwick | Chalmers A.,University of Warwick
Visual Computer | Year: 2013

Despite the complexity of the Human Visual System (HVS), research over the last few decades has highlighted a number of its limitations. These limitations can be exploited in computer graphics to significantly reduce computational cost and thus required rendering time, without a viewer perceiving any difference in resultant image quality. Furthermore, cross-modal interaction between different modalities, such as the influence of audio on visual perception, has also been shown as significant both in psychology and computer graphics. In this paper we investigate the effect of beat rate on temporal visual perception, i.e. frame rate perception. For the visual quality and perception evaluation, a series of psychophysical experiments was conducted and the data analysed. The results indicate that beat rates in some cases do affect temporal visual perception and that certain beat rates can be used in order to reduce the amount of rendering required to achieve a perceptual high quality. This is another step towards a comprehensive understanding of auditory-visual cross-modal interaction and could be potentially used in high-fidelity interactive multi-sensory virtual environments. © 2012 Springer-Verlag Berlin Heidelberg.

Oskooi A.,Kyoto University | Mutapcic A.,Sarajevo School of Science and Technology | Noda S.,Kyoto University | Joannopoulos J.D.,Massachusetts Institute of Technology | And 2 more authors.
Optics Express | Year: 2012

We investigate the design of taper structures for coupling to slow-light modes of various photonic-crystal waveguides while taking into account parameter uncertainties inherent in practical fabrication. Our shortlength (11 periods) robust tapers designed for λ = 1.55μm and a slow-light group velocity of c/34 have a total loss of < 20dB even in the presence of nanometer-scale surface roughness, which outperform the corresponding non-robust designs by an order of magnitude. We discover a posteriori that the robust designs have smooth profiles that can be parameterized by a few-term (intrinsically smooth) sine series which helps the optimization to further boost the performance slightly. We ground these numerical results in an analytical foundation by deriving the scaling relationships between taper length, taper smoothness, and group velocity with the help of an exact equivalence with Fourier analysis. © 2012 Optical Society of America.

Turajlic E.,Sarajevo School of Science and Technology
Proceedings of the IASTED International Conference on Biomedical Engineering, BioMed 2013 | Year: 2013

Parameterization and synthesis of electrocardiogram (ECG) recordings are some of the most challenging problems in biomedical signal processing owing to the fact that ECG signals commonly exhibit complex temporal morphology and contain numerous artifacts of data collection process. In this paper, we present a fully automatic framework for accurate and robust parameterization and reconstruction of ECG waveforms. The method uses the observed signal to ascertain a non-deterministic model for the ECG signal and employs the Dynamic Time warping (DTW) algorithm to determine a non-linear temporal relationship between the established ECG model and the individual pulses in the ECG signal. The results of parameterization provide a set of data that accurately describe the morphology of the ECG pulses. The proposed signal synthesis algorithm is able to independently account for the temporal and spatial dynamics of consecutive ECG pulses and provide a faithful reconstruction of ECG signals. Performance evaluation experiments are conducted on a database of 135 one-minute ECG recordings. The percentage root-mean-square difference measure is employed to evaluate the quality of signal reconstruction and also validate the results of signal parameterization.

Turajlic E.,Sarajevo School of Science and Technology
2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2012 | Year: 2012

Parametrization and modeling of electrocardiogram (ECG) recordings are some of the most challenging areas of biomedical signal processing owing to the fact that ECG signals commonly exhibit complex temporal morphology and contain various artifacts of data collection process. In this paper, we propose a novel and fully automatic framework for highly accurate and robust ECG parametrization and reconstruction. The proposed method facilitates adaptive ECG signal modeling, and as such it is not constrained to an opportune combination of mathematical functions. The method relies on Dynamic Time warping (DTW) algorithm to establish the temporal relationship between the ECG model and the analyzed ECG pulses and to obtain their parametric description. Performance evaluation experiments conducted on a database of 40 one-minute ECG signal recordings, including examples of Normal Sinus Rhythm R Interval ECG record, Arrhythmia, Supraventricular Arrhythmia and Atrial Fibrillation, have shown that the proposed method is able to consistently produce accurate signal parametrization and reconstruction. © 2012 IEEE.

Dzafic I.,Siemens AG | Jabr R.A.,American University of Beirut | Halilovic E.,Sarajevo School of Science and Technology | Pal B.C.,Imperial College London
IEEE Transactions on Power Systems | Year: 2014

Local controllers are essential in distribution networks; they are employed in classical devices such as load tap-changing (LTC) transformers and switchable shunt capacitors, and more recently in distributed generation (DG). The effective use of distribution management system (DMS) applications requires an accurate model of the interaction between the local controllers through the distribution system. This paper presents a new sensitivity matrix approach for modeling such interactions, and demonstrates its application in the implicit Z\rm Bus Gauss method for power flow computation. The sensitivity method models both PV buses (for the connection of DG) and tap position adjustments through current source injections, and consequently avoids re-factorization of the network bus admittance matrix. Numerical results on distribution networks with up to 3145 buses show that the sensitivity-based power flow method for simulating the operation of local controllers is superior to a sequential control action adjustment approach previously proposed in the literature, and that its computing time is commensurate with the performance requirements in real-time DMS applications. © 2013 IEEE.

Hulusic V.,Sarajevo School of Science and Technology | Pistoljevic N.,Columbia University
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2016

Serious games can easily engage students, captivate and maintain their attention allowing them both learning with an adult, or on their own. But, teaching children with developmental disabilities like ASD, requires special set of tools and methods, due to decreased level of attention towards stimuli presented and lessened capability to learn in ways typical children do. Interactive multisensory computer based instruction seems to be a good match for these diverse learners because it offers multisensory learning experience, interactive practice with constant feedback, increased learning opportunities, and customization to each child’s needs. In this paper we present a web-based interactive educational e-book designed to engage a learner with additional auditoryvisual stimulation related to the text being read in two languages, and by providing multi layered questions about the story read, for comprehension. Our educational goals were to teach children novel vocabulary, counting, identifying numbers and colors, and responding to inference questions. © Springer International Publishing Switzerland 2016.

Turajlic E.,Sarajevo School of Science and Technology | Bozanovic O.,Sarajevo School of Science and Technology
2012 20th Telecommunications Forum, TELFOR 2012 - Proceedings | Year: 2012

This paper investigates the use of neural networks and MFCC coefficients for automatic, text-dependent, speaker verification in security systems. We have aimed to optimize the classification performance in terms of learning strategy and neural network architecture, as well as to establish the optimal choice of parameters for the voice signature, where MFCC coefficients derivatives are considered. The performance evaluation is conducted on a database of 600 waveforms of a Serbo-Croatian utterance 'lozinka' (meaning 'password'). © 2012 IEEE.

Hulusic V.,Sarajevo School of Science and Technology | Pistoljevic N.,Columbia University
Procedia Computer Science | Year: 2012

Teaching children with autism requires special set of tools and methods, due to decreased level of attention towards stimuli presented and lessened capability to learn in the ways typical children do, which is manifested within this population. It has been previously shown that computer-assisted intervention is not only an effective method for developing various skills, allowing both learning with teachers and practicing on their own time without the teacher's direct attention, but it nonetheless increases the motivation and results in faster acquisition of these skills. In this paper we present the first step in developing the LeFCA framework, that will be used for teaching children with autism basic skills and concepts. Within the pilot project, we produced four games for developing matching, pointing out (based on visual and auditory stimuli) and labeling skills, which are considered to be primary skills needed for learning. The results of our preliminary study showed that the created software in native language is completely clear and user friendly for kids with Autism and other special needs, and that is systematically and developmentally appropriately sequenced for learning. Additionally, we found that children were able to generalize learned skills, through a transfer to a new medium or environment without any needed training (i.e. computer). All four participants mastered all programs without any instructional tactic needed. © 2012 The Authors. Published by Elsevier B.V.

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