Graduate School of Natural and Applied Sciences, Thesis

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Thesis (22333)

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Author
Aydın, Özlem (5)
Kocakuşak, Oktay (4)
Korkmaz, Ozan (4)
Ünver, Alper (4)
Şahin, Murat (4)

Subject
Electrical engineering. (252)
Mechanical engineering. (236)
Architecture. (196)
Civil engineering. (163)
Polymers. (154)

Date Issued
1960 - 1979 (2467)
1980 - 1999 (6618)
2000 - 2019 (12727)
2020 - 2021 (515)

Recent Submissions

Error quantification in crack measurement of building materials using terrestrial laser scanning (tls)
Oytun, Mert; Atasoy Özcan, Güzide; Department of Civil Engineering (2021-4-8)
Cracks are the most common and crucial indicators giving clues about the as-is condition of structures. Moreover,they have always been a major concern for public safety, as they are pioneers that point to issue...
Determination of coarse aggregate morphological indices and shape properties by 3d photogrammetry method
Rashidzade, Isfandiyar ; Öztürk, Hande Işık; Department of Civil Engineering (2021-4-8)
The morphological properties of the aggregatesplaya crucial role in the performance of the pavements. Therefore, thereexist various empirical methods and image-based approaches that directly or indirect...
Intra- and Inter-Cluster Link Scheduling in Ad Hoc Networks
Eksert, Mustafa Levet; Onur, Ertan; Department of Computer Engineering (2021-4-7)
While clustering improves the scalability of ad hoc networks in comparison to flattopologies, it introduces additional challenges for resource scheduling when contention-free medium access is employed. This thesis address...
Aerodynamic shape optimization of a wing using 3d flow solutions with su2 and response surface methodology
Yıldırım, Berkay Yasin; Tuncer, İsmail Hakkı; Department of Aerospace Engineering (2021-4)
In this study, the aerodynamic shape optimization of a wing is performed by using 3D flow solutions together with response surface methodology. The purpose of this study is to optimize the aerodynamic shape of a wing to ac...
Estimation of partially observed multiple graph signals by learning spectrally concentrated graph kernels
Turhan, Gülce; Vural, Elif; Department of Electrical and Electronics Engineering (2021-3-31)
Graph models provide flexible tools for the representation and analysis of signals defined over domains such as social or sensor networks. However, in real applications data observations are often not available over the wh...
Midcourse and final phase path planning for air vehicles to avoid countermeasures
Ataeli, Berk; Leblebicioğlu, Mehmet Kemal; Department of Electrical and Electronics Engineering (2021-3-25)
Path planning is a fundamental element of various common fields, such as robotics, computer animation, and wireless sensor networks. In this study, path planning for air vehicles is investigated in two phases. For the midc...
Kill analysis tool for missiles equipped with proximity fuzes
Öztürk, Ece; Kutay, Ali Türker; Department of Aerospace Engineering (2021-3-18)
In this thesis study, a developed kill analysis tool for the missiles having proximity fuzes is presented. Some of today’s missiles have proximity fuze, and this type of missiles’ warhead can be detonated not when the miss...
Decentralized inventory planning with transshipments in a multi-project environment
Soylu Nazlı, Duygu; Bakal, İsmail Serdar; Savaşaneril Tüfekci, Seçil; Department of Industrial Engineering (2021-3-17)
Many companies in project-based industries manage their inventories in a decentralized manner on a project-by-project basis. Even if one project has excess supply of a material, the other may have excess demand of it, whic...
Deep Learning in the Presence of Label Noise: A Meta-Learning Approach
Algan, Görkem; Ulusoy, İlkay; Department of Electrical and Electronics Engineering (2021-3-12)
Image classification systems recently made a giant leap with the advancement of deep neural networks. However, these systems require an excessive amount of labeled data to be adequately trained. Gathering a correctly annot...
K-median clustering algorithms for time series data
Gökçem, Yiğit; İyigün, Cem; Department of Industrial Engineering (2021-3-10)
Clustering is an unsupervised learning method, that groups the unlabeled data forgathering valuable information. Clustering can be applied on various types of data. Inthis study, we have focused on time series clustering. ...
Dark current optimization designs for mesa and planar type processed short wavelength infrared photodetectors
Dolaş, Muhammet Halit; Bek, Alpan; Arslan, Yetkin; Department of Micro and Nanotechnology (2021-3-05)
This thesis aims to report novel designs to achieve lower dark current values for modified pin heterojunction InGaAs/InP SWIR photodiodes for both mesa and planar type production methodologies.Mesa...
Determining user types from twitter account contentand structure
Gürlek, Mesut; Toroslu, İsmail Hakkı; Department of Computer Engineering (2021-3-05)
People are using social media platforms more and more every day; hence, they are be-coming suitable for research studies by their rich content. Twitter is one of the biggestand most widely used social media platforms, and ...
A Macrolevel tabu-search based approach to determine the major factors in built environment-traffic safety relationship
Alişan, Onur; Babalık, Ela; Department of City and Regional Planning (2021-3-05)
Traffic crashes are a significant contributing factor to fatalities globally, with an increasing pace of crashes occurring in urban areas. Thus, this study aims to analyze the relationship between urban built environment a...
Algebraic properties of the Richard Thompson’s groupfand its applications in cryptography
Yeter, Hakan; Benli, Mustafa Gökhan; Department of Mathematics (2021-3-05)
Thompson’s groupsF,TandV, especiallyF, are widely studied groups in grouptheory. With their unique properties, they appear and become counterexamples formany general problems in different areas of mathematics. Developm...
Limit monomial groups
Bostan, Sezen; Kuzucuoğlu, Mahmut; Department of Mathematics (2021-3-03)
In this thesis, monomial groups, which are obtained by using strictly diagonal embeddings of complete monomial groups over a group of finite degree, are studied. The direct limit of complete monomial groups of finite degre...
Computational modeling of thermal and shrinkage-induced cracking in concrete
Ghasabeh, Mehran; Göktepe, Serdar; Yaman, İsmail Özgür; Department of Civil Engineering (2021-3-3)
This work is concerned with the computational modeling of thermal and shrinkage-induced cracking in concrete. Thermal and hygral gradients develop within concrete structures of varying sizes and aspect ratios due to the in...
Boron nitride/zinc doped hydroxyapatite/polycaprolactone composite scaffolds for bone tissue engineering
Turhan, Emine Ayşe; Evis, Zafer; Tezcaner, Ayşen; Department of Micro and Nanotechnology (2021-3)
Bone diseases and disorders have been expected to increase mostly in time because of the aging, obesity and pysical activity problems. For this reason, bone tissue engineering has been focus point to design new biocompatib...
ESTRA: An easy streaming data analysis tool
Savaş Başak, Ecehan; Atalay, Mehmet Volkan; Department of Computer Engineering (2021-2-28)
Easy Streaming Data Analysis Tool (ESTRA) is designed with the aim of creating an easy-to-use data stream analysis platform that serves the purpose of a quick and efficient tool to explore and prototype machine learning so...
Metric scale and 6dof pose estimation using a color camera and distance sensors
Ölmez, Burhan; Tuncer, Temel Engin; Department of Electrical and Electronics Engineering (2021-2-26)
Monocular color cameras are widely used for 6DoF pose estimation and sparse creation of 3D point cloud of the environment over decades with SfM, VO, and V-SLAM algorithms. In this thesis, a novel algorithm is presented to ...
A comparative study of deep reinforcement learning methods and conventional controllers for aerial manipulation
Ünal, Kazım Burak; Kalkan, Sinan; Saranlı, Afşar; Department of Computer Engineering (2021-2-26)
Aerial manipulation with unmanned aerial vehicles is increasingly becoming a necessity in many applications. In this thesis, we analyze the controller approaches for a bi-rotor aerial manipulator for a pick and place opera...
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