Iskanje po repozitoriju

Opis: The aim of this study was to examine the relationship between sound animation of visual artworks and the development of rhythmic sensitivity and perception in preschool children. The study employed a qualitative action research design conducted in a kindergarten setting in Slovenia and involved 36 preschool children. Data were collected through observation, interviews, and analysis of children’s visual and musical products, and were analysed using thematic analysis. The results indicate that multisensory and interdisciplinary activities contribute to the development of rhythmic perception, creative expression, and the transfer of rhythm between visual and auditory modalities. The findings emphasise the importance of integrating music and visual arts in early childhood education.
Ključne besede: rhythmic sensitivity, rhythmic perception, multisensory learning, sound animation of visual artworks, interdisciplinary integration
Objavljeno v RUP: 30.06.2026; Ogledov: 195; Prenosov: 12
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Opis: Radar-based gesture recognition has emerged as a promising approach for unobtrusive interaction. Unlike camera-based systems, radar sensors can detect gestures through opaque materials, enabling seamless embedding into various everyday objects. However, it remains unclear how to train models efficiently for robust gesture recognition through diverse materials. To investigate this, we collected a dataset of 17,520 gesture recordings performed through 73 everyday materials. By comparing several material-sampling and data-augmentation strategies, we found that a small carefully selected representative subset of training materials was sufficient to match performance of a classifier trained on the full material dataset. Our results showed that the models trained on 14 quota-sampled materials achieved accuracies of 95.8% and 91.2%, comparable to training on all 73 materials (96.8% and 91.6%) and significantly better than training without material data (66.8% and 65.8%). Among the evaluated sampling approaches, Quota sampling also provided the best overall trade-off between performance and practicality. In contrast, classifiers trained on augmented data performed worse than those trained on actual material-specific data. Taken together, these findings indicate that, for the tested sensor, gesture set, and material collection, carefully selected real-material data offer a practical route to reducing material-specific data collection in radar-based gesture recognition while preserving generalisation. Code, models, and data are available in the public repository, with additional details provided in the supplementary materials: https://gitlab.com/hicuplab/seeing-through.
Ključne besede: deep learning, training optimization for neural networks, millimetre-wave radar, gesture recognition, material selection, sampling, synthetic noise
Objavljeno v RUP: 19.06.2026; Ogledov: 230; Prenosov: 9
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Opis: Recently, there has been a growing interest in scenarios that employ a few (imbalanced) power traces for deep learning based side-channel analysis (DL-SCA). Finding a lightweight DL-SCA architecture that is more generalizable and faster to learn is of great importance when handling such situations. In this work, an initial analysis is conducted on the capability of learning and the susceptibility to attacks of prevalent DL-SCA models, focusing on cases that culminate in an unsuccessful attack. Subsequently, a meta-learning technique, known as prototypical networks, is delineated for the construction of a lightweight deep learning framework. In contrast to conventional DL-SCA models, the proposed architecture, designated as PN-SCA, does not predict the probability of a power trace belonging to an intermediate value in classification. Instead, it facilitates the learning of an encoder capable of embedding power consumption data within a latent space, while also establishing templates, or prototypes, for diverse categories. Moreover, we developed a metric that is specifically intended for the selection of hyperparameters due to the unique training phase of PN-SCA. Finally, four distinct scenarios are established with few (including one imbalanced) power traces to evaluate the correctness of our architecture. The results clearly illustrate the advantages of our PN-SCA in terms of generalization, reduced training costs (with a decrease in profiling traces by over 50%), and significantly enhanced attack effect (with a reduction of power traces requirements by over 90%), thus demonstrating notable improvements over existing methodologies
Ključne besede: side-channel analysis, deep learning based SCA, prototypical networks, few-shot learning
Objavljeno v RUP: 20.05.2026; Ogledov: 336; Prenosov: 8
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Opis: This study examines whether tourism students’ self-reported time–money use patterns are related to their readiness to collaborate on idea development, and whether sustain- ability emerges spontaneously in their tourism innovation ideas. Using an anonymised dataset of open-ended questionnaire responses from Slovenian higher education tourism students (N = 597; 2019–2025), we applied deterministic rule-based coding to classify the presence of actionable ideas and sustainability framing, as well as collaboration readiness and conditions. Actionable ideas were common (53.4%), but sustainability framing was uncommon (7.5%). Most respondents were unconditionally willing to collaborate (69.3%), while 30.7% expressed conditional willingness or unwillingness. Time–money behavioural segments were significantly associated with collaboration reservations, whereas segment differences in ideation and sustainability framing were not significant. Among students expressing reservations, topic match and perceived team quality were the most frequently stated conditions. These findings indicate that sustainability-oriented tourism education should support both sustainability integration and low-risk collaboration through clear project briefs, topic-based matching, and team-process supports. The conclusions should be interpreted with reasonable caution as they are context-specific evidence based on self- reported, rule-coded responses, particularly for sustainability framing, where positive cases were rare. In this context, segmentation should be regarded as a diagnostic tool for course design rather than as a basis for labelling students.
Ključne besede: tourism education, sustainability, collaboration readiness, behavioural segmentation, time–money trade-offs, project-based learning, open-ended survey, clustering
Objavljeno v RUP: 04.05.2026; Ogledov: 351; Prenosov: 17
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Opis: The present postmodernist study explores how widely accessible films depicting tragic historical sites/events influence prosthetic memories and film-induced dark tourism among Western Balkan (the ‘region of memory’) young adult new-age platform users with no personal war experience. A heterogeneous list of ten internation - ally known historical films, compiled with the help of informants, was the basis for discussion in three nationally diverse focus groups (Croatian, Serbian, Bosnian- Herzegovinian) and then compared with a comparison group from a less stressed environment. The results of the content analysis with triangulation are discussed, and explaining the missing prosthetic memory, factual knowledge and film-induced dark tourism nexus among young adults in a peculiarly toxic post-conflict atmosphere. The study thus identifies historical film and dark tourism abstainers and explains deviations not pre - viously reported in studies of the above concepts, taking into account the specific social environment and age group.
Ključne besede: prosthetic memory, learning history, dark tourism, film-induced tourism, post-conflict society, young adults
Objavljeno v RUP: 02.04.2026; Ogledov: 546; Prenosov: 7
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