Yüksek Lisans Tezleri
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/5799
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Master Thesis Protein-Ligand Komplekslerinin Konvolüsyenel Sinir Ağları ile Moleküler Tanınması(Abdullah Gül Üniversitesi Fen Bilimleri Enstitüsü, 2022) Güner, Hüseyin; Aydın, ZaferAs a sub-discipline of Artificial Intelligence, deep neural networks have received enormous interest in research and industrial applications over the last decades owing to their highly successful performance in addressing and solving broad areas of problems. Hence, especially hitherto achievements in computer-aided drug design brought an extra impetus with the novel deep learning approaches in structure-based drug design etiology. Our group offers a novel convolutional neural network model, deepMLR, that casts insight into the molecular recognition of ligand molecules and a receptor protein molecule. Having compared our model and a few other existing models with a case study of a traditional approach, herein, we present the success story of a deep learning model straight.Master Thesis Dijital Çağda Banka Mekanının Dönüşümü(Abdullah Gül Üniversitesi Fen Bilimleri Enstitüsü, 2022) Yıldırım, Emine; Asıliskender, BurakIn this study, Lefebvre's definitions of space have been discussed and interrelated to digital space interpretations through theorists from different disciplines such as Mitchell and Manovich, and the concept of transition from digitalized space to digital space through bank architecture. With the inclusion of digital technologies in the space, hybrid spaces have emerged as a transitional form between physical and virtual space. These transformations in the space have reduced the need for the physical environment to interact with the user. Decentralized distribution channels and web 3.0 have important implications for the idea of virtualization of space. Considering both the distributed network protocol and the transaction structures of cryptocurrencies that do not need physical reality, it is observed that many leading banks and financial institutions have adapted their headquarters and branches to this transformation. It was found meaningful to examine the transformation in bank branches within the scope of the thesis as the area where the transformative effect created by the relationship between finance and technology can be observed the fastest in the user and in the place. The digital interfaces of the space, which has been needed by banking transactions since the first periods of its history and shaped accordingly that banking transactions today, have been discussed and it has been tried to predict the way the space will be handled and design decisions in the future.Master Thesis Türkiye'de Çocuk Mekânının Konutta Oluşum ve Evrimi(Abdullah Gül Üniversitesi Fen Bilimleri Enstitüsü, 2022) Sezen, Öykü Su; Sezen, Öykü Su; Tozoğlu, Ahmet ErdemThis study historically examines the formation and development of children's domestic spaces in Turkey from the beginning of the twentieth century to the 1980s. As will be shown, political, cultural, economic, and social turns have influenced the formation of children's space in Turkey in this period. The changing meaning of childhood in Europe since the seventeenth century had become the central element of the construction of idealized middle-class nuclear families in the nineteenth century. In the Ottoman society, observable changes in the thoughts and practices about childhood had begun since the nineteenth century. While the shift in the childhood phenomenon in different societies contains similarities and differences, modernization is the key term that I will coin to explain this complex process. This thesis basically explores children's domestic spaces in Turkey by following the traces of the historical roots of the modern family construction and argues that the construction of a child as an individual cannot be read independently of the defined roles of the nuclear family members. In this way, it discovers the historical traces of the idea that the children should have their own living space within the home, which is one of the prominent issues while emphasizing the 'scientific' background of raising children. This thesis tries to set an original spatial reading on the changes in children's spaces by analyzing the visual materials, mainly taken from architecture magazines, home and life magazines, of the middle and upper-class houses in Istanbul and Ankara.Master Thesis Kağıt Tabanlı Magnetoforetik Sensör Geliştirilmesi(Abdullah Gül Üniversitesi Fen Bilimleri Enstitüsü, 2022) FAROOQI, MUHAMMAD FUAD; Farooqi, Muhammad Fuad; İçöz, KutayOne of the widely used type of biosensors are paper-based lateral flow systems. They are used to detect a wide variety of biomolecules like microorganisms, proteins, chemicals, oligonucleotides among many others. In this research, a setup was created using dual magnet sets in which the flow of cell sample on two kinds of different sample paper was explored. There were two factors which affected the movement of the sample the most, the magnetic field and the wetting. Images were obtained using a cell phone along and/or a bright field optical microscope and then analyzed using image processing. Images were also taken using scanning electron microscope. The effects of the wetting and the magnetic field were tested and studied. It was found that at least 90% of the cells were able to reach the edge of the paper. Although the cells were not able to maintain their shape on the paper due to the unideal conditions of the paper for cells but still this kind of paper-based lateral flow assay setup can be used for cells to see their behavior when they were labelled and exposed to a magnetic field. This research shows support that this technique can be used for separating cells as well as detecting different cells.Master Thesis Hava-Yer Robot Ekipleri için Bağıl Lokalizasyon ve Koordinasyon(Abdullah Gül Üniversitesi Fen Bilimleri Enstitüsü, 2021) Yıldırım, İsa Emre; Yıldırım, İsa Emre; Güler, SametRecently, autonomous robot teams have been implemented broadly in many social and military applications such as firefighting, agriculture, search and rescue, mapping, target tracking, and docking. A mix of different types of ground robots and aerial vehicles can be employed in a robot team to accomplish tasks efficiently and robustly. Such heterogeneous systems show unparalleled benefits in complex tasks compared to teams composed of identical robot types. In a heterogeneous robot team, precise relative localization, i.e., estimating a robot's position with respect to its neighbor robots, plays a key role. We develop a relative localization system for air-ground robot teams where an aerial vehicle and multiple ground robots work in coordination to perform a reliable relative position estimation. The aerial vehicle is employed to detect special patterns on the ground robots by an onboard monocular camera, while the ground robots perform relative position estimation based on inter-robot distances acquired by ultrawideband sensors and the bearing and heading angles received from the aerial vehicle by communication. Thus, the aerial vehicle serves as an absolute frame provider for the entire team. Notably, each robot in the team uses onboard communication and computation capabilities solely without any need for an external localization infrastructure, making the team realizable in all conditions including GNSS-denied environments. We propose a multi-rate extended Kalman filter algorithm to handle different data rates of the sensor measurements. We carried out an extensive simulation study with a drone and five ground robots in a leader-first follower formation. Simulation results showed a successful estimation performance with an error rate of up to five centimeters in the relative position estimations in both axes. Keywords: Relative localization, Heterogeneous multi-robot systems, estimation algorithms, ultrawideband sensors