TR Dizin İndeksli Yayınlar Koleksiyonu / TR Dizin Indexed Publications Collections
Permanent URI for this collectionhttps://hdl.handle.net/20.500.13091/4
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Article The Short Stay Problem in Tourism Planning: An Analysis of the TR52 Regional Plan(2026-01-22) Akif, Sağ MehmetBu çalışma, TR52 Konya – Karaman Bölge Planlarında Konya’nın Kapadokya – Akdeniz turizm koridorunda kısa süreli bir uğrak noktası olarak konumlandırılmasını, Mevlâna Müzesi ekseninde analiz etmektedir. Nitel araştırma yöntemiyle yürütülen çalışmada, belge analizine dayalı tematik okuma ve mekânsal yorumlayı- cı gözlem teknikleri birlikte kullanılmıştır. Araştırmada, 2014-2023 ve 2024-2028 plan dönemleri arasında süreklilik, değişim ve kopuş noktaları karşılaştırmalı olarak incelenmektedir. Bulgular, Mevlâna Müzesi’nin yüksek çekim gücüne rağmen her iki plan döneminde de ziyaret süresini artıracak entegre destinasyon senaryolarının geliştirilemediğini göstermektedir. Müze çevresi, deneyim çeşitliliği ve yönlendirme açısından zayıf kalmakta, alternatif turizm unsurlarıyla bütünleşememektedir. Planlarda yerel ölçekte geliştirilen kentsel yenileme projeleri dikkate alınsa da, bu projeler bölgesel stratejilere bağlanmamakta ve mekânsal bütünlük kurulamamaktadır. Çalışma, anlatı-merkezli müzecilik, çok katmanlı destinasyon örgütlenmesi ve yere özgü stratejik yönetişim kavramlarıyla ilişkilendirilmiş öneriler geliştirmektedir. Mevlâna Müzesi’nin Konya’yı dönüştüren bir kalkınma unsuruna dönüşebileceğini, bu sayede kentin özgün kültürel varlıkları temelinde nitelikli, deneyim odaklı ve sürdürülebilir bir destinasyon kimliği kazanabileceğini savunmaktadır.Article Prediction of Sievers’ J Miniature Drilling Test Results Utilizing the Physico-Mechanical Properties of Volcanic Rocks(2025-12-10) Karakaya, EmreThis investigation seeks to estimate the Sievers’ J-type miniature drilling index (SJ) of volcanic rocks by employing their fundamental physico-mechanical attributes. To achieve this, a series of laboratory measurements were conducted on ten distinct volcanic and pyroclastic rock specimens, focusing on electrical resistivity (ER), P-wave velocity (Vp), dry density (d), porosity (n), and Leeb hardness (HL). The relationship between these properties and the SJ test outcomes was analyzed using simple linear regression, while the reliability of the associations was assessed through Pearson, Spearman, and Kendall correlation coefficients. Notably strong linear correlations were observed between the SJ values and the n (r = 0.87), d (r = 0.87), and HL (r = 0.91) parameters. Considering the labor-intensive and costly nature of the SJ test, it is proposed that these values may be effectively inferred through regression-based models utilizing d, n, and HL measurements.Article Farklı katkı maddelerinin kil zeminlerin taşıma kapasitesine etkisinin araştırılması(2025-12-02) Saran, Onur; Demiröz, AtilaSwelling clays with high plasticity need to be stabilized to prevent hazards from excessive volume changes due to moisture variations. The use of chemical stabilization methods is common for stabilizing such soils. In addition to cement and lime, pozzolanic additives such as fly ash are frequently used in chemical stabilization. In recent years, the use of artificial and natural fibers in soil stabilization has also increased. In Civil Engineering, basalt fibers, which are used especially to improve the mechanical properties of concrete, are also increasingly used in soil reinforcement studies, which is an application area of geotechnical engineering. In this study, the bearing capacity of basalt fiber and pozzolanic admixed soils (fly ash and silica fume) were investigated with large-scale experiments in terms of field representation. Model strip foundation loading was performed on clay soil and for the designs with the best strength properties in strength tests. There was a significant increase in the bearing capacity of the clay soil. The bearing capacity of clay soil increased by 758% for BF+SF reinforced soil and by 605% for BF+FA reinforced soil. In addition, for BF+SF and BF+FA reinforced soils, the fracture point is more prominent in the base pressure - settlement graph compared to the clay soil and clearer shear surfaces were obtained at the end of the experiment.Article ScabAI: Cilt Görüntülerinden Uyuz Tespiti için Derin Öğrenme Tabanlı Mobil Uygulama(2025-12-31) Can, Zeynep Nida; Baki, Hatice Şevval; Özdem, Mehmet; Yılmaz, Hakan; Çökmez, TahsinScabies, a contagious skin disease caused by the Sarcoptes scabiei mite, remains a significant public health concern globally. This study aims to develop a mobile application, ScabAI, which uses a deep learning model based on Convolutional Neural Networks (CNNs) to detect scabies from skin images. The model was trained using a dataset of 500 images, divided equally between scabies and non-scabies cases, and achieved high performance metrics, including 96.7% accuracy, 96% sensitivity, 97.3% specificity, and a 96.5% F1 score. These results demonstrate the model’s reliability and effectiveness in detecting scabies, outperforming many existing models. The mobile application allows users to capture or upload images of suspected scabies lesions, providing rapid and accurate preliminary diagnoses. ScabAI offers a practical, user- friendly tool that can be beneficial for both healthcare providers and individuals, supporting early detection, timely treatment, and reducing the risk of disease transmission. This study underscores the potential of integrating artificial intelligence with mobile platforms for improved dermatological care, particularly in resource-limited settings. Future research should focus on expanding the dataset to enhance generalization and exploring additional AI techniques to refine detection accuracy. ScabAI not only contributes to AI-assisted dermatology but also serves as a scalable model for developing similar tools targeting other skin conditions. This innovative approach addresses both clinical needs and user accessibility, advancing healthcare outcomes and public health initiatives.Article Parçacık Sürü Optimizasyonu ile Mafsallı Bomlu Vinçlerin Kaldırma Mekanizmasının Optimizasyonu(2026-01-14) Çatal, Ahmet; Şahin, Ömer Sinan; Taş, Oğuzhan; Çoban, KeremMobil vinçler, ağır yükleri kaldırmak ve taşımak için tasarlanmış özel makinelerdir. Tekerlekli veya paletli bir şasiye sahip olabilirler ve inşaat, ağır sanayi, enerji ve denizcilik gibi sektörlerde yaygın olarak kullanılmaktadırlar. Bu vinçler, uzatılabilir kollar ve kaldırma ekipmanları kullanarak hidrolik sistemler ve mekanik kuvvetler aracılığıyla yükleri yüksek veya dar alanlardan kaldırır. Verimli bir çalışma, ağırlık ve kapasitenin optimize edilmesine bağlıdır; aşırı yükler veya dinamik kuvvetler güvenlik risklerine veya mekanik arızalara yol açabilir. Bu araştırma, parçacık sürü optimizasyon yöntemi kullanarak bir mafsallı bomlu vincin kaldırma mekanizmasının boyutlarını optimize etmeye, moment kolunu maksimize etmeye ve ivmeyi minimize etmeye odaklanmaktadır. Bu çalışmada, silindir hızının optimum λ değerinin belirlenmesinde ihmal edilebilir bir etkiye sahip olduğu, optimum lambda değeri için birincil belirleyici faktörün ise (ψ) açısı olduğu gösterilmiştir.Article Experimental Investigation of the Effects of Different Conditioning Temperatures on Mode-i Fracture Toughness in Intraply Hybrid Carbon/Aramid/Elium Composites(2026-01-05) Guzel, Muhammed Huseyin; Önal, GürolThis study investigates the Mode-I fracture toughness performance of intraply hybrid carbon/aramid fiber-reinforced Elium thermoplastic composites under various thermal conditioning temperatures ranging from -50 °C to +50 °C. Specimens were manufactured using the hand lay-up assisted vacuum infusion method and subjected to Double-Cantilever Beam (DCB) tests. The results demonstrate that thermal conditioning significantly influences the interlaminar fracture energy. Specifically, sub-zero conditioning at -50 °C resulted in a 10.41% increase in fracture toughness compared to the reference temperature (+25 °C), reaching a value of 1240.30 J/m2, which is attributed to enhanced fiber bridging. Notably, at +50 °C, the fracture toughness reached its peak value of 1242.61 J/m2, representing a 10.61% improvement. This enhancement is linked to the softening effect and increased ductility of the Elium matrix as it approaches its glass transition region. The study’s original contribution lies in characterizing the thermal resilience of these recyclable hybrid composites, proving that Elium-based systems can maintain and even enhance their damage tolerance under fluctuating environmental conditions. These findings provide critical data for the design of sustainable and high-performance structural components in the aerospace and automotive industries.Article Experimental Investigation and ANN-Based Modelling of an Emergency Valve Dynamics Used in Heavy Vehicle Brake Systems(2025-12-31) Şen, Muhammed Arif; Cetin, IhsanAcil durum valfinin, ağır vasıta araçlarında römorkların manuel veya yarı otomatik şekilde ani frenleme yapabilmesi amacıyla kullanılan pnömatik bir fren valfidir ve tepki süresi performansı kritik öneme sahiptir. Bu çalışma kapsamında, öncelikle konu ile ilgili literatürdeki örnek çalışmalar ve kapsamlı endüstriyel uygulamalar detaylı bir şekilde incelenmiş ve frenleme süresine etki etmesi beklenen parametreler araştırılmıştır. Sistemin giriş parametreleri olarak emniyet yay katsayısı, çek valf yay katsayısı ve hortum çapı belirlenmiştir. Deneysel tasarım yöntemleri kullanılarak, sistem parametrelerinin frenleme tepki süresi üzerindeki etkisi incelenmiş ve tam faktöriyel bir deney tasarım oluşturulmuştur. Sistemin frenleme tepki süresini ölçmek amacıyla bir deney düzeneği kurulmuş ve kapsamlı deneysel çalışmalar yürütülmüştür. Deneysel verilerin regresyon analizi ile fren tepki süresine ait bir matematiksel model elde edilmiştir. Sistemin modelleme performansını geliştirmek amacıyla, deneysel verilerin yapay sinir ağı tabanlı modellenmesine yönelik çalışmalar yapılmıştır. Deneysel veri setinin farklı nöron sayıları, öğrenme algoritmaları ve eğitim-test-doğrulama yüzdeleri belirlenerek eğitilmesine yönelik modelleme çalışmaları gerçekleştirilmiş, daha az hata değerine sahip daha yüksek doğrulukta bir model araştırılmıştır. Elde edilen matematiksel ve yapay sinir ağı modellerinin, giriş parametrelerine bağlı olarak valf tepki süresini modelleme ve tahminleme performansları karşılaştırmalı olarak incelenmiş ve sayısal sonuçlar sunulmuştur. Yapılan deneysel ve modelleme çalışmaları, YSA modelinin matematiksel modele göre daha başarılı tahmin performansı sağlayabileceğini göstermiştir.Article Evrensel Tasarım İlkeleri Doğrultusunda Moda Tasarımı Alanındaki Uygulamaların İncelenmesi(2026-01-11) Aydın, Muazzez ÇakırUniversal design is a design approach that enables individuals with different characteristics to access and use products, spaces, and environments on equal conditions. In this study, the need for dressing, which is one of the basic needs of individuals with special needs, is addressed within the framework of universal design principles, and the practices in the fashion design industry are examined. Using the descriptive survey method, adaptive clothing examples of companies that produce in accordance with universal design in the fashion industry and educational practices in higher education were analysed. Within the scope of the research, basic information about fashion design was revealed in order to ensure that users can wear clothing comfortably, safely, and independently. As a result, it is believed that the effective application of universal design principles in meeting the clothing needs of individuals with special needs can increase the accessibility, availability and prevalence of these designs. It is recommended that organisations providing education and production in the field of fashion design should expand their services in this direction.Article Cmip6 Küresel İklim Modelleri İle Gelecek Yağış Ve Sıcaklık Tahminleri: Diyarbakır İçin Bir Uygulama(2026-01-09) Yalcın, Emrah; Buran, Abass; Sarlak, NerminProjections of the future evolution of climate-induced natural disasters, together with assessments of their potential impacts, represent a crucial first step in identifying effective mitigation and adaptation strategies. This study projects future precipitation and temperature patterns with the aim of supporting the development of scientifically grounded policies to reduce disaster risks and impacts in the province of Diyarbakır. To this end, 24 distinct Global Climate Models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6), which provides higher-resolution simulations and more detailed representations of physical processes, were employed. Past, present, and future precipitation and temperature conditions were simulated using the CMIP6 historical experiment and two Shared Socioeconomic Pathway scenarios (SSP2-4.5 and SSP5-8.5). The CMhyd software package was used to downscale GCM simulations to the station scale and correct systematic biases in model outputs, with the linear scaling method applied for bias correction. The bias-corrected precipitation and temperature series from the CMIP6 historical experiment were validated against observational station data, enabling the identification of the best-performing GCMs. Finally, bias-corrected projections from these models under the mid-forcing SSP2-4.5 and high-forcing SSP5-8.5 scenarios were analyzed to assess prospective climatic changes in Diyarbakır. The findings demonstrate that climate change is projected to persist in Diyarbakır through rising temperatures and declining precipitation, thereby rendering the formulation of regional adaptation strategies indispensable.Article AFD: FTP Tabanlı GNSS Veri Alımı ve Ön İşleme için Pratik Bir Araç(2025-12-29) Başçiftçi, Fuat; Dursun, Ayfer Feyza; Yıldırım, Ömer; Bulbul, SercanThis study introduces the Automatic File Downloader (AFD), a MATLAB-based software developed for the efficient retrieval and organization of GNSS data. The need for this tool arose from the limitations of the existing VIP.m software, which became obsolete due to protocol incompatibilities, outdated data addresses, and a static user interface. AFD was designed with a modular and extensible architecture that supports FTP and HTTP protocols, automatic date conversions, dynamic file classification, and robust error handling. The software enables seamless downloading of GNSS datasets from international data centers such as IGS, IGL, and CODE, and automatically prepares the files for processing with scientific analysis tools like the Bernese GNSS Software. Comparative testing demonstrated that AFD provides faster, more reliable, and user-friendly performance compared to its predecessor. With its flexible architecture and scalable design, AFD represents a sustainable solution for researchers and engineers working with GNSS data, offering significant improvements in automation, accuracy, and usability. Unlike previous tools such as VIP.m, which relied on fixed directory structures and lacked adaptability to evolving data sources, AFD introduces a protocol-flexible and configuration-driven architecture that enables long-term sustainability. Moreover, this study fills a documented gap in the GNSS data processing literature by providing an open, extensible, and automation-oriented preprocessing workflow that integrates directly with commonly used scientific analysis environments. In this respect, AFD contributes a novel, practical, and maintainable solution that strengthens GNSS data acquisition pipelines in both research and operational applications.