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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.


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. Source


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. Source


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. Source


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. Source


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. Source

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