Yazar "Uzun, Can" seçeneğine göre listele

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    A statistical assessment of Sinan's central domed mosques
    (2022) Uzun, Can
    This paper uses a statistical approach to assess the proportional relations between 47 central-domed mosque plans of the architect Sinan. The statistical method is a feature selection method that demonstrates both the significant as well as the redundant features within a dataset by conducting correlation and lasso regression analyses. The analysis dataset contains 16 building elements present in each central domed mosque plan, selected according to Sinan's mosque ontology. The correlation analysis demonstrates 72 significant correlations; the lasso regression shows seven essential features in relation to the area of the central space. The study contributes to the field with an evaluation of both Sinan's high- and low-level design decisions by presenting a statistical assessment methodology of a historical architectural dataset. Results show that Sinan sees the design of a mosque as both a structural and architectural design problem.
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    An ontological assessment proposal for architectural outputs of generative adversarial network
    (Emerald Publishing, 2023) Uzun, Can; Cangür, Raşit Eren
    Purpose: This study presents an ontological approach to assess the architectural outputs of generative adversarial networks. This paper aims to assess the performance of the generative adversarial network in representing building knowledge. Design/methodology/approach: The proposed ontological assessment consists of five steps. These are, respectively, creating an architectural data set, developing ontology for the architectural data set, training the You Only Look Once object detection with labels within the proposed ontology, training the StyleGAN algorithm with the images in the data set and finally, detecting the ontological labels and calculating the ontological relations of StyleGAN-generated pixel-based architectural images. The authors propose and calculate ontological identity and ontological inclusion metrics to assess the StyleGAN-generated ontological labels. This study uses 300 bay window images as an architectural data set for the ontological assessment experiments. Findings: The ontological assessment provides semantic-based queries on StyleGAN-generated architectural images by checking the validity of the building knowledge representation. Moreover, this ontological validity reveals the building element label-specific failure and success rates simultaneously. Originality/value: This study contributes to the assessment process of the generative adversarial networks through ontological validity checks rather than only conducting pixel-based similarity checks; semantic-based queries can introduce the GAN-generated, pixel-based building elements into the architecture, engineering and construction industry.
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    Fractal Geometry in Hospital Design: Enhancing Healing Environments Using Fractal Fluency
    (American Institute of Physics, 2025) Hasan, Saja; Uzun, Can; Sönmez, Elif
    This research explores the impact of fractal geometry on hospital design, with a focus on "fractal fluency." Fractals, defined as intricate self-replicating patterns, which are commonly found in both nature and art, have fascinated mathematicians, scientists, architects, and psychologists for generations. This study thus investigates how these fractal patterns, particularly those of moderate complexity, can influence human perceptions, well-being, and cognition, using a multidisciplinary approach that combines mathematics, neuroscience, and architecture to examine the integration of fractal fluency principles in hospital design. Through a detailed analysis of architectural elements such as the material, space, light, form, and perspective in hospitals including Jacobs Medical Center and Friendship Hospital, the study assesses the implementation of design principles based on such patterns and assesses their impact on the healing environment. The results show that the design of Friendship Hospital is in good alignment with fractal fluency principles, with all architectural elements falling within the specified range, suggesting the use of a deliberate design approach that can potentially create a visually engaging and stress-reducing environment. In contrast, Jacobs Medical Center does not align with fractal fluency principles, thus failing to realize the potential benefits of mid-range fractals as used in design. The impact on occupants of these varying approaches appears to be significant: Friendship Hospital's alignment with fractal fluency principles appears to contribute to enhanced comfort, positive psychological effects, and a sense of positive energy, while Jacobs Medical Center, while not necessarily having a negative environment, displays none of the advantages of intentional fractal fluency in design. This research thus emphasizes the importance of fractal fluency in hospital design based on its potential to create healing environments that promote physical and emotional well-being. Incorporating mid-range fractals can enhance patient experiences, reduce stress levels, and contribute to the development of positive energy in healthcare spaces. By combining mathematics, neuroscience, and architecture, this study also opens the way to the development of more innovative approaches in healthcare design that prioritize the language of fractals.