1. The impact of time delays in traffic information transmission using ITS and C-ITS systems: a case-study on a motorway section between two tunnelsIva Meglič, Matjaž Šraml, Ulrich Zorin, Chiara Gruden, 2025, original scientific article Abstract: Timely and accurate traffic information is crucial for maintaining safety and efficiency on motorway networks. This research examines time delays in traffic information transmission through intelligent transport systems (ITSs) and cooperative intelligent transport systems (C-ITSs) on the Slovenian motorway network. The aim of the research is to assess the effectiveness of existing notification systems and the impact of time delays on the timely informing of drivers in the event of an accident in a tunnel. Using real-world data from Regional Traffic Center (RCC) in Vransko, manual and automated activations of traffic portals and different update frequencies of the Promet+ mobile application were analyzed during peak hours. Results show that automated activation reduces delays from 34 to 25 s at portals and from 27 to 18 s in the Promet+ app. Continuous updates in the app provided the highest driver coverage, leaving only 15 uninformed drivers in the morning peak and 8 in the afternoon, whereas 60 s update intervals left up to 71 drivers uninformed. These findings highlight the effectiveness of automation and continuous updates in minimizing delays and improving driver awareness. The research contributes by quantifying latency in ITSs and C-ITSs and demonstrating that their combined use offers the most reliable information delivery. Future improvements should focus on hybrid integration of ITS and C-ITS, dynamic update intervals, and infrastructure upgrades to ensure consistent real-time communication, shorter response times, and enhanced motorway safety. Keywords: intelligent transport systems (ITS), cooperative intelligent transport systems (C-ITS), hybrid communication, traffic information transmission Published in DKUM: 03.11.2025; Views: 0; Downloads: 11
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2. The impact of information systems on project success in a hybrid work environment: evidence from the world's largest consulting firmMarko Samardzic, Teodora Vuckovic, Danijela Ciric Lalic, Iztok Palčič, Uglješa Marjanović, 2025, original scientific article Abstract: This study investigated the impact of information systems (IS) success on Project Success (PS) within hybrid and remote work environments, drawing empirical evidence from the world's largest consulting firm. By integrating the DeLone and McLean IS success model with established PS frameworks, the research examined how IS components—system quality, user satisfaction, and use/ intent to use—influence key PS dimensions: project management success, impact on the team, impact on the customer, and project investment success. Data from 198 employees were analyzed using structural equation modeling, confirming all hypothesized relationships. Results revealed that IS net benefits significantly enhance PS across all dimensions, while system quality and user satisfaction further drive IS effectiveness. The study underscores the critical role of robust digital infrastructure in optimizing project outcomes, offering theoretical insights and practical recommendations for organizations navigating hybrid work models. Limitations and future research directions are also discussed. Keywords: hybrid work environment, DeLone and McLean model, structural equation modeling, remote work, digital transformation, system quality, user satisfaction, net benefits, project management Published in DKUM: 03.11.2025; Views: 0; Downloads: 6
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3. Impact of voltage supraharmonics on power supply units in low-voltage gridsPrimož Sukič, Danilo Dmitrašinović, Gorazd Štumberger, 2025, original scientific article Abstract: Voltage supraharmonics present in the electrical grid can trigger chain reactions in grid-connected household and industrial power supplies equipped with Power Factor Correction (PFC). A single source of voltage supraharmonics may significantly increase the current in switching devices with PFC, leading to higher-amplitude disturbances throughout the electrical network. When addressing issues in a real low-voltage (LV) grid, it was observed that activation of a single device emitting supraharmonics caused oscillating currents across all feeders connected to the transformer’s busbars, matching the frequency of the supraharmonic source. To investigate this phenomenon further, the grid voltage containing supraharmonics was replicated in a controlled laboratory environment and used to supply various power electronic devices. The laboratory results closely mirrored those observed in the field. Supraharmonics present in the supply voltage caused current oscillations in the power electronic devices at the same frequency. Moreover, the amplitude of the observed current oscillations increased with the amplitude of the injected supply voltage supraharmonics. In some cases, the root mean square (RMS) value of the current drawn by the power electronic devices doubled, indicating a substantial impact on device behaviour and potential implications for grid stability and energy efficiency. Keywords: supraharmonics, PFC, solar inverters, PV inverters, hybrid converter Published in DKUM: 29.10.2025; Views: 0; Downloads: 4
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4. Recommender system for computer componentsAljaž Herzog, 2025, master's thesis Abstract: This thesis explores the implementation of a personalized and accurate recommender system for computer components, addressing key challenges within the e-commerce sector. A full-stack solution was developed, featuring a React-based frontend, a Flask backend, and a MongoDB database. The system integrates and evaluates four distinct recommendation algorithms: a basic model, Content-Based Filtering (CBF), Collaborative Filtering (CF), and a hybrid approach. Evaluation metrics revealed that CBF provided the highest accuracy among the individual methods. The hybrid system's performance matched that of the CBF model, primarily due to insufficient user interaction data limiting the effectiveness of the CF component. This outcome underscores the critical need for comprehensive datasets to fully leverage the power of collaborative and hybrid recommendation systems. Keywords: recommender system, computer components, hybrid recommender system, machine learning Published in DKUM: 23.10.2025; Views: 0; Downloads: 9
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5. Comparative analysis of 2d visual elements in 3d animated filmsAleksandar Ilievski, 2025, master's thesis Abstract: This thesis explores the integration of 2D and 3D visual elements in hybrid animation, with a particular focus on their application within the context of virtual reality (VR). The first section presents a theoretical framework, analyzing the characteristics of 2D and 3D elements and examining hybrid animation techniques used in films such as The Peanuts Movie, Soul, and Spider-Man: Into the Spider-Verse. These case studies were applied in the empirical section, in which a 360° animated shot was created in program Blender by blending both animation styles. The project challenges the traditional boundaries between 2D and 3D animation by employing custom shaders, 2D planes for texture mapping, and VR-specific adjustments to provide a seamless viewer experience. The thesis highlights the technical and artistic challenges of integrating these two forms within an immersive environment, offering new insights into the potential of hybrid animation for storytelling in virtual spaces. Future work could explore advancements in VR interactivity and more dynamic 2D-3D integration techniques. Keywords: hybrid Animation, CG animation, traditional animation, virtual reality Published in DKUM: 22.09.2025; Views: 0; Downloads: 6
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6. Quasi-static and impact behaviour of polymer-metal interpenetrating phase TPMS compositesNejc Novak, Oraib Al-Ketan, Anja Mauko, Lovre Krstulović-Opara, Shigeru Tanaka, Matej Borovinšek, Boštjan Vihar, Uroš Maver, Kazuyuki Hokamoto, Matej Vesenjak, Zoran Ren, 2025, original scientific article Abstract: Interpenetrating phase composites (IPC) are materials with two or more mutually continuous, interconnected phases. This structure allows each phase to retain its properties, while together they exhibit enhanced synergistic properties. In this work, polymer-metal IPCs with Triply Periodical Minimal Surface (TPMS) structures were fabricated and tested for their mechanical properties at different impact velocities (ranging from 0.1 mm/s to 250 m/s). Samples. The samples comprise a stainless steel reinforcement phase and two polymeric matrices (silicone and epoxy). Computed tomography was used to evaluate the internal structure and the fabrication quality. The results showed that the samples were thoroughly infiltrated with polymeric filler, achieving a high degree of homogeneity in the composite. The compression tests of silicone-filled IPCs showed an increase in stiffness. Still, the Specific Energy Absorption (SEA) was not improved due to the non-optimal stiffness ratio between the polymeric matrix and the metallic reinforcement phase. However, using epoxy as the matrix resulted in the SEA enhancement of 38 %. This is attributed to the interlocking mechanism between the two phases, which improved the macroscopic mechanical properties. The compression tests showed significant strain rate hardening due to the base material’s strain rate sensitivity and the inertia effects. Keywords: TPMS, interpenetrating phase composite, polymer filler, hybrid structure, experimental testing, mechanical properties, strain rate effect Published in DKUM: 26.05.2025; Views: 0; Downloads: 14
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7. Geotechnical aspects of N(H)bSs for enhancing Sub-Alpine mountain climate resilienceTamara Bračko, Primož Jelušič, Bojan Žlender, 2025, original scientific article Abstract: Mountain resilience is the ability of mountain regions to endure, adapt to, and recover from environmental, climatic, and anthropogenic stressors. Due to their steep topography, extreme weather conditions, and unique biodiversity, these areas are particularly vulnerable to climate change, natural hazards, and human activities. This paper examines how nature-based solutions (NbSs) can strengthen slope stability and geotechnical resilience, with a specific focus on Slovenia’s sub-Alpine regions as a case study representative of the Alps and similar mountain landscapes worldwide. The proposed Climate-Adaptive Resilience Evaluation (CARE) concept integrates geomechanical analysis with geotechnical planning, addressing the impacts of climate change through a systematic causal chain that connects climate hazards, their effects, and resulting consequences. Key factors such as water infiltration, soil permeability, and groundwater dynamics are identified as critical elements in designing timely and effective NbSs. In scenarios where natural solutions alone may be insufficient, hybrid solutions (HbSs) that combine nature-based and conventional engineering methods are highlighted as essential for managing unstable slopes and restoring collapsed geostructures. The paper provides practical examples, including slope stability analyses and reforestation initiatives, to illustrate how to use the CARE concept and how NbSs can mitigate geotechnical risks and promote sustainability. By aligning these approaches with regulatory frameworks and climate adaptation objectives, it underscores the potential for integrating NbSs and HbSs into comprehensive, long-term geotechnical strategies for enhancing mountain resilience. Keywords: mountain resilience, climate change, nature-based solutions (NbSs), hybrid solutions (HbSs), geotechnical planning, slope stability, landslides Published in DKUM: 31.03.2025; Views: 0; Downloads: 9
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8. Use of Lignin, Waste Tire Rubber, and Waste Glass for Soil StabilizationSüleyman Gücek, Cahit Gürer, Bojan Žlender, Murat V. Taciroğlu, Burak E. Korkmaz, Kürşat Gürkan, Tamara Bračko, Borut Macuh, Rok Varga, Primož Jelušič, 2024, original scientific article Abstract: The complex interactions between soil and additives such as lignin, glass powder, and rubber tires were investigated using principles of material and soil mechanics. Previous research has mainly focused on individual additives in clay soils. In contrast, this study investigates soil improvement with two different types of waste materials simultaneously. The improvement of soil properties by hybrid waste materials was evaluated using several laboratory tests, including the standard Proctor test, the unconfined compressive strength test, the California Bearing Ratio (CBR) test, and cyclic triaxial tests. The aim of this research is to identify key parameters for the design and construction of road pavements and to demonstrate that improving the subgrade with hybrid waste materials contributes significantly to the sustainability of road construction. The mechanical and physical properties were evaluated in detail to determine the optimal mixtures. The results show that the most effective mixture for the combination of waste glass powder and rubber tires contains 20% glass powder and 3% rubber tires, based on the dry weight of the soil. For the combination of waste glass powder and lignin, the optimum mixture consists of 15% glass powder and 15% lignin, based on the dry weight of the soil. These results provide valuable insights into the sustainable use of waste materials for soil stabilization in road construction projects.
Keywords: soil stabilization, waste glass, tire rubber waste, lignin, hybrid waste usage, mechanical
properties, pavement structure Published in DKUM: 28.02.2025; Views: 0; Downloads: 6
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9. Hybrid reality development - can social responsibility concepts provide guidance?Igor Perko, 2021, original scientific article Abstract: Purpose: This paper aims to define hybrid reality (HyR) as an ongoing process in which artificial intelligence (AI) technology is gradually introduced as an active stakeholder by using reasoning to execute real-life activities. Also, to examine the implications of social responsibility (SR) concepts as featured in the HyR underlying common framework to progress towards the redefinition of global society.
Design/methodology/approach: A combination of systemic tools is used to examine and assess the development of HyR. The research is based on evolutionary and learning concepts, leading to the new meta-system development. It also builds upon the viable system model and AI, invoking SR as a conceptual framework. The research is conducted by using a new approach: using system dynamics based interactions modelling, the following two models have been proposed. The state-of-the-art HyR interactions model, examined using SR concepts; and a SR concept-based HyR model, examined using a smart vehicle case.
Findings: In the HyR model, interaction asymmetry between stakeholders is identified, possibly leading to pathological behaviour and AI technology learning corruption. To resolve these asymmetry issues, an interaction model based on SR concepts is proposed and examined on the example of an autonomous vehicle transport service. The examination results display significant changes in the conceptual understanding of transport services, their utilisation and data-sharing concepts.
Research limitations/implications: As the research proposal is theoretical in nature, the projection may not display a fully holistic perspective and can/should be complemented with empirical research results.
Practical implications: For researchers, HyR provides a new paradigm and can thereby articulate potential research frameworks. HyR designers can recognise projected development paths and the resources required for the implication of SR concepts. Individuals and organisations should be aware of their not necessarily passive role in HyR and can therefore use the necessary social force to activate their status.
Originality/value: For the first time, to the best of the author’s knowledge, the term HyR is openly elaborated and systemically examined by invoking concepts of SR. The proposed model provides an overview of the current and potential states of HyR and examines the gap between them. Keywords: artificial intelligence, social responsibility, systems thinking, cybernetics, hybrid reality, interactions model Published in DKUM: 04.02.2025; Views: 0; Downloads: 243
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10. Long-term temperature prediction with hybrid autoencoder algorithmsJorge Pérez-Aracil, Dušan Fister, C. M. Marina, César Peláez-Rodriguez, L. Cornejo-Bueno, P. A. Gutiérrez, Matteo Giuliani, A. Castelleti, Sancho Salcedo-Sanz, 2024, original scientific article Abstract: This paper proposes two hybrid approaches based on Autoencoders (AEs) for long-term temperature prediction. The first algorithm comprises an AE trained to learn temperature patterns, which is then linked to a second AE, used to detect possible anomalies and provide a final temperature prediction. The second proposed approach involves training an AE and then using the resulting latent space as input of a neural network, which will provide the final prediction output. Both approaches are tested in long-term air temperature prediction in European cities: seven European locations where major heat waves occurred have been considered. The longterm temperature prediction for the entire year of the heatwave events has been analysed. Results show that the proposed approaches can obtain accurate long-term (up to 4 weeks) temperature prediction, improving Persistence and Climatology in the benchmark models compared. In heatwave periods, where the persistence of the temperature is extremely high, our approach beat the persistence operator in three locations and works similarly in the rest of the cases, showing the potential of this AE-based method for long-term temperature prediction. Keywords: autoencoder, temperature prediction, hybrid models, heatwave Published in DKUM: 29.01.2025; Views: 0; Downloads: 3
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