5- Diğer Birimler | Other Unitshttps://hdl.handle.net/11729/16692024-03-29T01:48:31Z2024-03-29T01:48:31ZQueering conservative democracyBirdal, Mehmet Sinanhttps://hdl.handle.net/11729/59382024-03-27T14:31:31Z2013-12-01T00:00:00ZQueering conservative democracy
Birdal, Mehmet Sinan
The Justice and Development Party (AKP) and its official political identity of conservative democracy dominated the first decade of the new millennium in Turkey. Conservative democracy rests on a fusion of a particularistic conservative national identity with the universal principles of liberal democracy. The conservative narratives on lesbian, gay, bisexual and transgenders (LGBTs) reveal the limits of this synthesis' ability to create a deliberative democracy in Turkey, and underscore the challenges faced in recognition of LGBT demands within the conservative democratic project.
2013-12-01T00:00:00ZGlobalization, politics, and financial turmoil: Asia's banking crisisŞen, Aslıhttps://hdl.handle.net/11729/59372024-03-27T13:39:31Z2008-06-01T00:00:00ZGlobalization, politics, and financial turmoil: Asia's banking crisis
Şen, Aslı
[No abstract available]
2008-06-01T00:00:00ZImaging of rough surfaces by RTM methodSefer, AhmetYapar, AliYelkenci, Tanjuhttps://hdl.handle.net/11729/59322024-03-19T14:50:19Z2024-01-01T00:00:00ZImaging of rough surfaces by RTM method
Sefer, Ahmet; Yapar, Ali; Yelkenci, Tanju
An electromagnetic imaging framework is implemented utilizing a single frequency reverse time migration (RTM) technique to accurately reconstruct inaccessible two-dimensional (2D) rough surface profiles from the knowledge of scattered field data. The unknown surface profile, which is expressed as a 1D height function, is either perfectly electric conducting (PEC) or an interface between two penetrable media. For both cases, it is assumed that the surface is illuminated by a number of line sources located in the upper medium. The scattered fields, which should be collected by real measurements in practical applications, are obtained synthetically by solving the associated direct scattering problem through the surface integral equations. RTM is subsequently applied to generate a cross-correlation imaging functional which is evaluated numerically and provides a 2D image of the region of interest. A high correlation is observed by the functional in the regions where the transitions between two media occur. Hence, it results in the acquisition of the unknown surface profile at the sites where the functional attains its highest values. The efficiency of the proposed method is comprehensively tested by numerical examples covering various types of scattering scenarios.
2024-01-01T00:00:00ZMicroservices-based databank for Turkish hazelnut cultivars using IoT and semantic web technologiesAydın, ŞahinAldara, Dieaahttps://hdl.handle.net/11729/59312024-03-19T14:51:30Z2024-01-01T00:00:00ZMicroservices-based databank for Turkish hazelnut cultivars using IoT and semantic web technologies
Aydın, Şahin; Aldara, Dieaa
Information and communication technologies (ICTs) can play a crucial role in facilitating access to comprehensive information on the quality standards of Turkish hazelnut cultivars. In this regard, this study introduces a Hazelnut Databank System (HDS) that utilizes the microservices architecture, an integrated software system supported by the Internet of Things (IoT) and semantic web, to categorize Turkish hazelnut cultivars. The study focuses on developing microservices using various programming languages and frameworks. Specifically, C# on the.NET Core Framework was used for both microservices and the web-based application implemented through the ASP.NET Core MVC Framework. Mobile-based software applications were created using Xamarin. Forms, and the IoT application was developed using the Python programming language. The data storage is facilitated through the MS SQL Server database. Additionally, the study incorporates the implementation of a hazelnut species classification system using the DNN + ResNet50 machine learning model, achieving an impressive accuracy rate of 95.77%. The overall usability of the system was evaluated, resulting in a score of 42 out of 50. By providing detailed information on Turkish hazelnut cultivars, the HDS has the potential to greatly improve hazelnut production quality in Turkey and increase awareness of hazelnut agriculture among relevant stakeholders.
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