42 research outputs found
Hatice Turhan Sultan Türbesinin çini pano analizleri
No full text06.03.2018 tarihli ve 30352 sayılı Resmi Gazetede yayımlanan “Yükseköğretim Kanunu İle Bazı Kanun Ve Kanun Hükmünde Kararnamelerde Değişiklik Yapılması Hakkında Kanun” ile 18.06.2018 tarihli “Lisansüstü Tezlerin Elektronik Ortamda Toplanması, Düzenlenmesi ve Erişime Açılmasına İlişkin Yönerge” gereğince tam metin erişime açılmıştır.Dini ve sivil mimaride önemli bir bezeme unsuru olan çini sanatının yüzyıllar öncesine dayanan bir geçmişi vardır. Estetik bir değer olarak yapıları süsleyen çini sanatı Osmanlı döneminde doruk noktasına ulaşmıştır. 17. yüzyıl Osmanlı yapılarından olan Hatice Turhan Sultan Türbesi teze konu edilmiş içerisinde yer alan çini panolar değerlendirilmiştir. Ayrıca türbe kavramı, Osmanlı mimarisi, Türk çini sanatı gibi konulara da yer verilerek tezin kapsamı genişletilmiştir. Çalışmada, türbede yer alan çini panolar kompozisyon, renk, konum ve vaziyet olarak incelenmiş, restorasyon öncesi ve sonrası halleri görseller ile belgelenmiştir. Ele alınan çini panolarının autocad programında çizimleri yapılmış, photoshop programında boyamaları gerçekleştirilmiştir. Aynı dönemlerde yapılan farklı yapılardaki benzer çini panolarının karşılaştırmaları yapılmıştır. Yıllarca bu tarz yapılarda yer alan çiniler çalınmış, yağmalanmış ya da kaybolmuşlardır. Bu olayların yaşandığı yerlerden biri olan Hatice Turhan Sultan Türbesi çinilerinden bazıları çalınıp bulunmuş olsa da türbede çinili yüzeylerde eksik kısımlar hala mevcuttur. Bu nedenle çini panolar ile ilgili çizim ve görsellere bolca yer verilmiş olup bundan yıllar sonra araştırma yapmak isteyecek kişilere rehber olacak bir kaynak oluşturulması hedeflenmiştir. Kültürel mirasımız olan bu sanat; geçmişten günümüze ulaşan eşsiz bir değerdir. Hak ettiği şekilde korunması ve ileriki nesillere güzel bir şekilde aktarılması temennimizdir.The tile art, which is an important decoration element of religious and civil architecture, has a history dating back centuries. The tile art, which adorns the buildings as an aesthetic value, reached its peak during the Ottoman period. Hatice Turhan Sultan Tomb, which is one of the 17th century Ottoman buildings were stolen, has been examined for the thesis and evaluated its tile panels in it. In addition, some subjects such as the concept of the tomb, the Ottoman architecture, the Turkish tile art have been included and expanded the thesis. In the study, the tile panels in the tomb have been examined as composition, color, position and condition, and their situations before and after the restoration have been documented by visuals. Tile panels have been drawn with the autocad program, and the paintings have been done in the photoshop program. Comparison of similar tile panels on different structures built in the same periods has been made. For years, the tiles in such structures were stolen, looted or lost. Even though some of the stolen ceramics of Hatice Turhan Sultan Tomb, one of the places where these events experienced were found, the tomb still contains missing parts on the tiled surfaces. For this reason, there are plenty of drawings and images related to the tile panels, it is aimed to create a resource that will provide guidance to the people who would like to do research after years. This art which is our cultural heritage is a unique value from past to present. It is our hope that it will be protected deservedly and be conveyed to future generations properly
Correction to: P-12 Assessment of Symmetrigraph and Global Postural System Results for the Posture Analysis of the Healthy Individuals
No full textAfter publication of the below abstract in supplement [1] it was bought to our attention that in abstract P-12, author Kerem Alptekin’s surname name had been published incorrectly as Alptekim. The authors also wished to add the below information to the abstrac
Hstr-net: Reference based video super-resolution with dual cameras
No full textHigh-spatio-temporal resolution (HSTR) video recording plays a crucial role in enhancing various imagery tasks that require fine-detailed information. State-of-the-art cameras provide this required high frame-rate and high spatial resolution together, albeit at a high cost. To alleviate this issue, this paper proposes a dual camera system for the generation of HSTR video using reference-based super-resolution (RefSR). One camera captures high spatial resolution low frame rate (HSLF) video while the other captures low spatial resolution high frame rate (LSHF) video simultaneously for the same scene. A novel deep learning architecture is proposed to fuse HSLF and LSHF video feeds and synthesize HSTR video frames. The proposed model combines optical flow estimation and (channel-wise and spatial) attention mechanisms to capture the fine motion and complex dependencies between frames of the two video feeds. Simulations show that the proposed model provides significant improvement over existing reference-based SR techniques in terms of PSNR and SSIM metrics. The method also exhibits sufficient frames per second (FPS) for aerial monitoring when deployed on a power-constrained drone equipped with dual cameras. The source code is publicly available at https://github.com/umutsuluhan/HSTRNet. © The Author(s) 2025.TÜBİTAKPublisher versio
Efficient Content-Based Image Retrieval from Videos using Compact Deep Learning Networks with Re-ranking
No full textThe rise of streaming and video technologies has underscored the significance of efficient access and navigation of digital content, particularly for scholars in fields like history and art. Scholars actively seek streamlined approaches to index, retrieve, and explore digital content, with a focus on locating specific instances. The process of searching for specific instances in video search is complex that requires the analysis of video sequences and the identification of relevant video segments. Advanced techniques and algorithms are necessary to ensure effective content-based retrieval of the required information.In response to the escalating demand for accurate and swift access to relevant visual data within the vast spectrum of video resources, our research has been dedicated to the development of novel, efficient content-based image retrieval methods tailored for videos by integrating deep learning methodologies. Our comprehensive system contains two crucial components: keyframe extraction and content-based image retrieval. Keyframe extraction involves identifying significant frames within videos, while content-based image retrieval enables the retrieval of similar frames to a query image through feature extraction and ranking.A unique aspect of our research lies in the exploration and analysis of a diverse range of feature extraction techniques derived from compact deep learning networks. We have compared our proposed method with state-of-the-art retrieval systems, evaluating performance metrics in terms of both accuracy and speed. Our method harnesses the power of compact deep learning network features in the initial ranking stage, effectively sublisting frames, and subsequently introduces re-ranking using a larger network. This innovative approach promises to deliver the best of both worlds: exceptional efficiency without compromising retrieval accuracy.Electrical Engineering | Signals and System
Hyperloop: A Multi-Objective Optimization Approach to Network Design
No full textThe pivotal sector of transportation has shown signs of a surge in demand. The European Union projects a 42% increase in passenger transport from 2019 until 2050. Policymakers and stakeholders must collaborate to address the increasing transportation demand while considering environmental, societal, and economic benefits Despite efforts to mitigate emissions, the transportation sector has not achieved substantial reductions. The emergence of Hyperloop technology presents a disruptive solution that could address this transportation challenge in Europe. It has been pursued as a viable alternative to air travel, rail, and traditional forms of transportation due to its affordability, sustainability, and rapid speeds of up to 1200 km/h. Even though Hyperloop is a promising alternative in the transportation sector, the technology is still largely in development. There are multi-dimensional considerations in understanding whether the Hyperloop will become a mainstream transport option for passengers and whether the conflicting objectives will result in an efficient Hyperloop network. A knowledge gap was identified with a lack of studies to explore the relationship between the network design objectives and the network design itself.In order to identify the impacts of the Hyperloop network design in the global transportation sector, a literature review was conducted on the transformative potential of the Hyperloop. Key strengths were identified as a reduction in travel times and low operational emissions. On the other hand, the high capital resources required and the uncertainty around the safety of technology were the main points of criticism. In order to analyze the potential demand for Hyperloop and model the modal shift, a Multi- Nominal Logit was employed where a utility function was formulated for the total benefit passengers receive upon completing a trip. The key attributes for the utility function were selected as travel time, travel costs, number of transfers, and safety perception, in alignment with previous studies on the subjects. A utility-based probabilistic mode choice was determined for the available demand. A multi-objective optimization problem was formulated for the facility-location network design of Hyperloop. The decision variables of the model were formulated as the decision to open a Hyperloop hub at a location and the decision to build infrastructure between the selected Hyperloop hubs. The model output is an alternate network optimized for four different objective functions. These objectives are determined to be (1) Utility Maximization, (2) Probability of Purchase Maximization, (3) Emission Minimization, and (4) Revenue Maximization as these factors were determined to be key performance indicators in a prospective Hyperloop network. The model aims to provide the decision-makers with an overview of the trade-offs involved with varying objective criteria considered in the network generation.A case study was created to test the model within Europe. The main aim of the case study is to assess the economic and environmental impacts of the Hyperloop system and provide recommendations to policymakers regarding the conception of the Hyperloop network within the European Union. The case study employs the NUTS classification and excludes European countries where the demand data is incomplete and focuses on countries within the TEN-T network. Furthermore, three categories of experimental scenarios were set up to assess the sensitivity of the model to parameter values. The categories are (1) pricing strategy scenarios, (2) safety perception scenarios and (3) policy intervention scenarios. The findings reveal significant disparities in network characteristics based on different objective criteria. The Utility Maximization objective focuses on maximizing trip utility, leading to a network design with direct links between hubs, resulting in compact networks and lower infrastructure costs. However, Spain and Italy have lower priority in this design. On the other hand, the other three objectives (probability of purchase maximization, emission minimization, and revenue maximization) yield networks with a minimum-spanning tree pattern. These networks outperform the utility maximization network in terms of attracting passengers, reducing emissions, and economic performance. To maximize societal benefits, it is recommended to prioritize the remaining three objectives. The study finds that Hyperloop becomes more competitive for longer-distance trips. Experimentation with ticket prices, safety perception, and policy interventions demonstrates their influence on modal share, revenue stability, and carbon emissions. Higher ticket prices discourage Hyperloop usage, safety perception plays a crucial role, and policies discouraging short-haul flights result in higher Hyperloop modal share and lower emissions. These findings highlight the importance of considering ticket prices, safety perception, and strategic policies to promote sustainable transportation and reduce carbon emissions through a modal shift to Hyperloop.Future research opportunities include expanding the utility function to incorporate additional attributes affecting mode choices, exploring modal shifts from other modes to Hyperloop, relaxing assumptions about geographical obstacles and hub locations, integrating strategic and tactical planning, and validating the model with a broader range of origin-destination pairs. Computational performance can be enhanced using meta-heuristics to compare different heuristics for network outputs and efficiency.Complex Systems Engineering and Management (CoSEM
Topic Analysis on Popular Software Testing Books: Mining Software Testing Knowledge
No full textIn this study, we try to understand what kind of topics and frameworks are covered by the popular software testing books, and see whether these topics satisfy the industry needs and address the rising trends. To define "popular" software testing books, we formulated three heuristics. The topics of the books are analyzed through LDA topic modelling and manual inspection. LDA results inform us on the dominance of the topics within the whole corpus, while the manual inspection results show how often a topic is addressed. We combine the results of both of the methods to analyse the most noteworthy topics. We found that test automation, test design and planning, coverage analysis were the most frequently and extensively discussed topics in our corpus. We conclude that although the books cover some major topics that are demanded by the industry, there are also areas such as test management and usability testing, which are underrepresented. We also observed that the popular software testing books do not cover the rising software testing trends. While JUnit was the most discussed framework, in general the software testing books do not include practical information for specific frameworks or tools, but rather focus on the tool selection process.CSE3000 Research ProjectComputer Science and Engineerin
Optimizing strains in Metabolic Engineering: comparative analysis of β-Conditional Variational Auto-encoder and Probabilistic PCA for synthetic data generation
No full textThis research explores the landscape of dataset generation through the lens of Probabilistic Principal Component Analysis (PPCA) and β-Conditional Variational Auto-encoder (β-CVAE) models. We conduct a comparative analysis of their respective capabilities in reproducing datasets that mirror the distribution of the original data that comes from a hypothetical pathway kinetic model based on an E.coli strain using varied parameter settings falling within a specified range. The requirement of significant prior investment in acquiring accurate details about the distinct mechanisms governing each reaction and its parameters for the construction of these kinetic models push us to find alternative ways to generate data that guide metabolic engineering processes. This paper tries to find a viable option through compression algorithms that reduce dimensionality. The PPCA model demonstrates commendable fidelity in capturing overarching patterns, though areas for refinement in reproducing specific data points are identified. In contrast, the β-CVAE model exhibits higher fidelity, precision, and consistency, positioning it as a robust choice for data generation tasks. This study was constrained by both time and the specificity of the model architectures and the dataset. These limitations underscore the imperative for continual exploration and refinement within the dynamic landscape of generative modeling. Opportunities could be found in the refinement of both VAE, CVAE and β-CVAE models utilizing varied hyperparameters alongside different architectures, to increase applicability across diverse datasets within the realm of metabolic engineering.CSE3000 Research ProjectComputer Science and Engineerin
The Contemporary Turkish Government, Ideological Strategies and the Symbolic
No full textTürkiye'deki iktidar partisi, son birkaç yıldır artan bir destek görmekteyse de karşılaştığı engemeller, destekçi sayısını fazla düşürmedi. Bu makale, mevcut siyasi konjonktürü yorumlayan analizlerin, rızanın üretiminde kullanılan Türkiye'ye özgü ideolojik atmosferi ve söylemsel düzenlemeleri dikkate alması gerektiğini vurgulamaktadır. Yazar, yorumlayıcı söylem analizi yöntemini kullanarak ve Lacancı psikanalizden faydalanarak, iktidar partisinin başarısı ile onun söylem stratejileri arasındaki ilişkiyi ortaya koymayı; aynı zamanda partinin simgesel yapısını ve imgesel inşalarını incelemeyi amaçlamaktadır. Yazar, hegemonik söylemin düğüm noktalarını vurgulamayı, retorik kalıpları ortaya çıkarmayı ve psikanalizin politik ve sosyolojik meselelerdeki uygulanabilirliğini keşfetmeyi hedefliyor.The contemporary government of Turkey has been seeing increasing support for several years, and obstacles it has faced have not reduced the number of its supporters by much. This paper emphasizes that the inquiries which interpret this political conjuncture should consider the Turkish ideological atmosphere and discursive arrangements employed by politicians to manufacture consent. The author aims to discover the relation between the success of the ruling party and its discursive strategies while examining its symbolic structure and imaginary constructions using Lacanian psychoanalysis by employing interpretative discourse analysis. The author intends to highlight the nodal points of the hegemonic discourse, seeks to uncover rhetorical patterns, and attempts to explore the applicability of psychoanalysis on political and sociological issues. </p
BRICS ülkelerinde bankacılık istikrarını belirleyen etkenler
No full textSosyal Bilimler Enstitüsü, İşletme (İngilizce) Ana Bilim Dalı, Finans Bilim DalıGünümüz küresel ekonomisinde BRİCS ülkelerinin ekonomik büyüme göstergeleri dikkatleri çekmektedir, bu sayede yükselen güçler olarak adlandırılmaktadırlar. Eski G8 ülkesi Rusya ve Amerika'nın arkasından dünyanın en büyük ikinci ekonomisi durumunda olan Çin in önderlik ettiği oluşum, yüksek nüfus sayıları, kapladıkları yüzölçümü alanı ve ucuz işçilik avantajları ile hızlı büyüme rakamlarına sahiplerdir. Bankacılık sektörü ise özellikle gelişmekte olan ülkelerin ekonomisinde çok önemli bir misyona sahiptir. Ekonomik olarak güçlü konuma gelmek isteyen ülkelerin, güçlü ve istikrarlı bir bankacılık sisteminin olması gerekliliği daha önceki çalışmalarda bahsedilen önemli bir konudur. Bu çalışma BRICS ülkelerinin bankacılık istikrarını belirleyen etkenleri belirlemeyi amaçlamaktadır. Dünya da konu ile ilgili literatür incelendiğinde bu alanda çok fazla çalışma yapılmadığı tespit edilmiştir. Bu çalışma literatürdeki bu açığı kapatması amacıyla, BRICS ülkelerinin bankacılık sektörünü etkileyen faktörler konusu bibliyografik analiz teknikleri ile incelenmiştir. Bu analiz kapsamında Web of Science ve Scopus veri tabanları kullanılmış, konu hakkında Dünya da yapılmış araştırmalar incelenmiştir. Araştırmalar için belirleyici olan yazar, dergi, alan anahtar kelime gibi birçok etmenin değişimi ve bunlar arasındaki ilişkiler ortaya konmuştur.Today, BRICS economic growth indicators are used as such increasing forces in today's economy. The formation led by China, which the world's second largest economy, and former G8 country Russia. They have rapid growth figures with the advantages of high population numbers, the area they cover and cheap labor. The banking sector, on the other hand, has a very important mission, especially in the economy of developing countries. The necessity of a strong and stable banking system for countries that want to become economically strong is an important issue mentioned in previous studies. This study aims to determine the factors that determine the banking stability of the BRICS countries. When the literature on the subject in the world is examined, it has been determined that there are not many studies in this field. In this study, in order to close this gap in the literature, the factors affecting the banking sector of the BRICS countries are examined with bibliographic analysis techniques. Within the scope of this analysis, Web of Science and Scopus databases were used and research made in the world on the subject were examined. The change of many factors such as author, journal, field keyword, which are decisive for the research, and the relationships between them have been revealed
An Applied Analysis for Whether the Relation between Innovation and Foreign Direct Investment is Vicious for Turkey After the Early 1980s
No full textAbstractThe relation between innovation and foreign direct investment (FDI) is investigated in this paper by using time series Vector Autoregression (VAR) method. The main research question of the paper is whether FDI contributes on development of innovation in Turkey or vice versa. In Turkey, after the structural transformations in Turkish economy, export led growth is taken as vein that feeds to the economic development and thus importance of foreign direct investments have been increasing in the post-1980 period. The obtained findings show that FDI has not been contributing to innovation; however, development of innovation attracts the FDI inflows in that period
