Scopus İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/395
Browse
141 results
Search Results
Article A Novel Approach for Clean Energy Production and Decarbonization Using Floating Photovoltaic Systems: Türkiye Case(Yildiz Technical University, 2026) Özgün, Fulya; Bajc, Tamara; Koca, Kemal; Karipoğlu, FatihArticle Architecture as a Tool of Social Modernization: Social Centers in Sumerbank Textile Factories During Early Republican Turkiye(Editura Univ Ion Mincu, 2025) Sozuer, Irem Baz; Semiz, Nisa; Baz Sözüer, İremBook Part A Typo-Structural Exploration of the Monumental Portals of Sinan’s 16th-Century Ottoman Mosques in Istanbul(Springer Science and Business Media B.V., 2026) Elagöz Timur, Bahar; Timur, Bahar ElagozOttoman architectural portals are significant as grand entrances to mosque complexes, symbolizing the transition from the secular to the sacred. Their design reflects the artistic sophistication of the Ottoman Empire, blending functionality with aesthetic appeal. This article highlights significant aspects of monumental portal construction, showcasing a blend of form, materials, and engineering that exemplifies architectural progress. These portals are monumental entrances to mosque complexes, embodying the structural integrity and aesthetic of Ottoman architecture. Key features include load-bearing systems that distribute weight and provide stability, combining arches and columns to create large openings without sacrificing strength. These elements enhance the portals' visual grandeur and durability time. A study was conducted on the monumental portals of 16th-century mosques designed by Architect Sinan, widely regarded as the most famous Turkish architect. Within the scope of this study, the structural analysis of these masonry portals of five mosques - Sehzade Mehmed, Uskudar Mihrimah Sultan, Rustem Pasha, Edirnekapi Mihrimah Sultan, and Kilic Ali Pasha mosques- will be carried out. It examines the material properties, the arrangement of structural elements, and the relationship between the portals and the main structures according to the load-carrying principles. The analysis is supported by typological studies and 3d models, allowing for a comprehensive comparison across the selected examples. These, commissioned by prominent political figures and built by Turkey's greatest architect, are significant historical architectural components that establish a connection with the public. Therefore, these structural analyses and documentation are proposed to contribute to their conservation.Book Part Citation - WoS: 1Citation - Scopus: 1Learning from Damaged Historic Constructions: Recent Earthquakes in Turkey(Springer Science and Business Media B.V., 2026) Kishalı, Emre; Balcı, Esra; Almaç, Umut; Semiz, Nisa; Türer, Ahmet; Kambek, Erkan; Koç, SüheylaIn February 2023, the southeastern region of Turkiye was struck by significant earthquakes along the Eastern Anatolian Fault Zone, resulting in widespread destruction and substantial loss of life. The intense ground movements caused severe damage to the area's architectural heritage, impacting numerous historic buildings that represent a range of periods, functions, scales, construction techniques, and materials. The regions affected by these earthquakes presented a unique opportunity for analysing the damage to cultural assets, a chance that may not present itself again for some time. It is crucial to collect data on the damage sustained by these structures and to leverage this knowledge for their future preservation. The quality of masonry walls in damaged buildings raises important concerns, particularly regarding the bond patterns and the quality of the binding mortar. Damage has also been observed in vaulted monuments. Many of these structures lack tie systems capable of withstanding lateral forces, which would enhance the structural behaviour during earthquakes. Additionally, past restoration efforts warrant attention, particularly in repair interventions such as reintegration; it has been noted that traditional construction practices were often overlooked. The structural relationship between old and new materials was not fully established, and insufficient measures were taken to reinforce this connection, rendering the repairs less effective. The text highlights the evaluation of earthquake damage at the scale of individual structures, with a particular emphasis on damage types associated with restoration practices implemented in the past. This methodology enables the development of appropriate recommendations to address conservation issues. The data used in this study were derived from various projects, particularly those focused on assessing architectural heritage affected by the February 2023 earthquakes, in which the authors were actively engaged.Article Optimization of Precision Machine Part Manufacturing by Integration of Grey-Taguchi Method with Principal Component Analysis(Yildiz Technical University, 2026) Kapan Ulusoy, Selda; Şenyiğit, Ercan; Erol, Kübra; Ulusoy, Selda KapanDetermining and optimizing the process parameters impacting the outputs at each production stage is necessary to reduce production costs. The Taguchi Method (TM) and the Grey Relational Analysis (GRA) are commonly utilized two techniques for process parameter optimization. In precision machine part manufacturing, Computer Numerical Control (CNC) production is the most critical process. In this study, the objective is to optimize CNC manufacturing parameters using TM, GRA and Principal Component Analysis (PCA) in metal sector. Process parameters like operator experience level (in years), CNC machine brand, CNC machine age, and CNC machine size were determined and optimized based on their degree of impact on the outputs. The experiments were carried out using a four-factor, four-level Taguchi orthogonal array (L16), and Analysis of Variance (ANOVA) was conducted aiming to determine the effects of these process parameters on production time, dimension conformity, and surface roughness performance factors. Selection of these input parameters and performance factors in the study is to provide a solution to a problem in the company from which the data are obtained with scientific methods and to contribute to the literature. Utilizing TM, the optimal values of process parameters are determined as ten years for operator experience, as Mazak for CNC machine brand, as two years for machine age, and as 500x550x550 for machine size. Utilizing the combination of GRA and PCA optimal parameter values are determined as ten years for operator experience, as Yuntes for CNC machine brand, as two years for machine age, and as 700x450x500 for machine size. A sensitivity analysis was performed using 21 different weight sets for performance factors (production time, dimension conformity, and surface roughness). Compared to the initial CNC production process parameters, 45%, 95%, and 504% improvements were obtained in production time, dimension conformity, and surface roughness process parameters. Companies, especially operating in the metal sector, can benefit from managerial practices by considering the ranking of parameters affecting CNC production according to the results obtained from this study.Article Fine-Tuning Large Language Models for Turkish Flutter Code Generation(Sakarya University, 2025-12-29) Uluırmak, Buğra Alperen; Kurban, RifatThe rapid advancement of large language models (LLMs) for code generation has largely centered on English programming queries. This paper focuses on a low-resource language scenario, specifically Turkish, in the context of Flutter mobile app development. Two representative LLMs (a 4B-parameter multilingual model and a 3B code-specialized model) on a new Turkish question-and-answer dataset for Flutter/Dart are fine-tuned in this study. Fine-tuning with parameter-efficient techniques yields dramatic improvements in code generation quality: Bilingual Evaluation Understudy (BLEU), Recall-Oriented Understudy for Gisting Evaluation (ROUGE-L), Metric for Evaluation of Translation with Explicit Ordering (METEOR), Bidirectional Encoder Representations from Transformers Score (BERTScore), and CodeBLEU scores show significant increases. The rate of correct solutions increased from ~30–70% (for base models) to 80–90% after fine-tuning. The performance trade-offs between models are analyzed, revealing that the multilingual model slightly outperforms the code-focused model in accuracy after fine-tuning. However, the code-focused model demonstrates faster inference speeds. These results demonstrate that even with very limited non-English training data, customizing LLMs can bridge the gap in code generation, enabling high-quality assistance for Turkish developers comparable to that for English. The dataset was released on GitHub to facilitate further research in multilingual code generation.Book Part A Systematic Review of Optimization Studies Used in Renewable Energy Systems(Springer Science and Business Media Deutschland GmbH, 2026) Söylemez, İ.; Erdoğan, A.This study presents a literature review of recent studies on renewable energy systems. Due to the large number of studies, this study has been limited to some keywords. When only the word “renewable energy systems” is searched, there are more than 14,343 studies in the literature between 2017 and 2024. A systematic search was conducted for the studies in which “optimization” or “mathematical model” was mentioned as a solution methodology. A total of 755 studies were identified in the “Scopus database” and analyzed for these studies. A detailed examination was carried out for the type of studies (research article, review, conference paper, etc.), countries where the studies were carried out, authors who carried out the studies and their statistics with each other, and so on. With this study, an overview of the literature will be provided and it will be a guiding study for researchers on the direction of the studies. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.Article Fine-Tuning Large Language Models for Turkish Flutter Code Generation(Sakarya University, 2025) Uluirmak, B.A.; Kurban, R.The rapid advancement of large language models (LLMs) for code generation has largely centered on English programming queries. This paper focuses on a low-resource language scenario, specifically Turkish, in the context of Flutter mobile app development. Two representative LLMs (a 4B-parameter multilingual model and a 3B code-specialized model) on a new Turkish question-and-answer dataset for Flutter/Dart are fine-tuned in this study. Fine-tuning with parameter-efficient techniques yields dramatic improvements in code generation quality: Bilingual Evaluation Understudy (BLEU), Recall-Oriented Understudy for Gisting Evaluation (ROUGE-L), Metric for Evaluation of Translation with Explicit Ordering (METEOR), Bidirectional Encoder Representations from Transformers Score (BERTScore), and CodeBLEU scores show significant increases. The rate of correct solutions increased from ~30–70% (for base models) to 80–90% after fine-tuning. The performance trade-offs between models are analyzed, revealing that the multilingual model slightly outperforms the code-focused model in accuracy after fine-tuning. However, the code-focused model demonstrates faster inference speeds. These results demonstrate that even with very limited non-English training data, customizing LLMs can bridge the gap in code generation, enabling high-quality assistance for Turkish developers comparable to that for English. The dataset was released on GitHub to facilitate further research in multilingual code generation. © 2025, Sakarya University. All rights reserved.Conference Object Generating Lost Urban Fabric: Exploration of Generative Adversarial Networks as a Design Tool in Post-Disaster Urban Recovery(Education and Research in Computer Aided Architectural Design in Europe, 2025) Takış, F.N.; Akyüz, S.This study investigates the use of GANs, particularly the Pix2PixHD, for reconstructing urban fabric and preserving urban memory in post-disaster contexts, focusing on Hatay, Türkiye, after the 2023 earthquakes. Models were trained on pre-disaster urban maps and tested on incomplete post-earthquake data to regenerate damaged urban areas. Evaluation metrics, including FID scores, SSIM values, and visual inspections, demonstrated the model's ability to produce contextually accurate designs. The trained model effectively maintained road networks, building geometries, and spatial coherence. In addition to spatial consistency, the model produced outputs with sharp edges and high visual clarity. These results highlight the significant potential of GANs as generative design tools, offering valuable support to urban planners and architects in balancing urgent reconstruction needs with the long-term preservation of urban identity and memory in disaster-affected areas. © 2025, Education and research in Computer Aided Architectural Design in Europe. All rights reserved.Article An Elementary Proof of Lucas's Theorem(Ramanujan Mathematical Society, 2025) Cinkir, ZubeyirLucas's Theorem is about finding the result of a binomial coefficient modulo a prime p efficiently. The result is expressed as a product of binomial coefficients involving the base p expansions of the parameters of the original binomial coefficient. We give an elementary proof of Lucas's Theorem by deriving an analogous Vander-monde identity modulo a prime number.