Browsing by Author "Teke, O"

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    The Future of Smart Campuses: Combining Digital Twin and Green Metrics
    Teke, I; Teke, O; Kilinç, M
    The Smart Campus concept combines environmental sustainability and technological innovation and plays an important role in educational institutions. In this context the contribution of Digital Twins and Green metrics (GM) to smart campus is one of the important areas of research. In this study, a digital twin architecture is proposed, including energy and climate change, waste and water issues, which account for 48% in GM criteria. Digital simulation and communication protocols, predictive analysis and dynamic decision support can be synthesized between the physical world and the sensor-based framework. This synthesis reveals the potential to reduce environmental damage through effective waste management, efficient use of water resources, identification of efficiency gaps through real-time analysis of energy consumption, and reduction of carbon footprint through energy savings. This study aims that the combined approach presented with the proposed framework according to GM criteria will contribute to future educational environments by ensuring smart campus sustainability.
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    Balancing performance and comfort in virtual reality: A study of FPS, latency, and batch values
    Geris, A; Cukurbasi, B; Kilinc, M; Teke, O
    This manuscript investigates the relationships among various performance metrics in a virtual reality (VR), namely frames per second (FPS), latency, batches, and the number of triangles (tris) and vertices (verts). The study aims to uncover correlations and directional associations between these metrics, shedding light on their impact on VR performance. The findings reveal a significant correlation between FPS and latency, albeit in opposite directions. Higher FPS values are associated with reduced latency, indicating that a smoother visual experience is accompanied by shorter delays in the VR. Conversely, lower FPS values are linked to increased latency, suggesting a potential degradation in overall system responsiveness. Additionally, a strong correlation is observed between latency and batches processed. This finding implies that latency has a direct impact on the system's ability to efficiently process and render objects within VR. Furthermore, a positive correlation is identified between the number of batches and the values of tris and verts. This relationship suggests that higher batch counts are associated with larger quantities of triangles and vertices, reflecting a more complex scene rendering process. Consequently, the performance of VR may be influenced by the density and intricacy of the virtual environments, as indicated by these metrics.