Graduate School of Natural and Applied Sciences

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Recent Submissions

Exploring the effects of coded excitations and pulse compression on the performance of magneto-acousto-electrical tomography with magnetic field measurements in mr magnet Gözü, Mehmet Soner; Gençer, Nevzat Güneri; Department of Electrical and Electronics Engineering (2024-12-06) This thesis investigates the effects of coded excitations and pulse compression techniques on the performance of Magneto-Acousto-Electrical Tomography (MAET) with magnetic field measurements in MR magnet. MAET maps conduct...
The effect of screening parameters on miscible and immiscible CO2 EOR applications Arslan, Umut Efe; Doğan, Mehmet Onur; Department of Petroleum and Natural Gas Engineering (2024-12-2) CO2 injection has been employed as an enhanced oil recovery (EOR) method for over 50 years and is classified into two types: miscible and immiscible. In miscible injection, CO₂ and reservoir fluid mix to form a single-phas...
Rational Exergy Management Model based metrics for minimum carbon dioxide emissions and decarbonization in Glasgow Kılkış, Birol; Kılkış, Şiir (2024-11-30) Addressing climate change is an urgent issue that requires effective and sustainable solutions at multiple scales from the building to the district and city scales. This study focuses on the avoidable carbon dioxide emissi...
An FPGA-accelerated string-matching engine Yalçın, Süleyman Samet; Schmidt, Şenan Ece; Department of Electrical and Electronics Engineering (2024-11-29) A string-matching engine locates predefined pattern strings within an input string. Various applications, such as DNA analysis and intrusion detection systems, depend on high-performance string-matching engines. In this th...
DEVELOPING A GIS TOOL TO ANALYZE HOUSING PRICE VARIABILITY IN URBAN REGIONS CASE STUDY: ANKARA ABU SADAA, DUAA; Akyürek, Sevda Zuhal; Küçükpehlivan, Tuncay; Department of Geodetic and Geographical Information Technologies (2024-11-28) Ankara's population has grew by 5.35%, from 5,118,000 in 2020 to 5,397,000 in 2023, expanding the inhabited areas and requiring advanced urban analysis tools. This study introduces a customized Geographic Information Syste...
Milling force estimation using angular domain harmonics with Kalman filter using acceleration data İlme, Mert; Çalışkan, Hakan; Balkan, Raif Tuna; Department of Mechanical Engineering (2024-11-28) In order to make a contribution to the Industry 4.0 concept, today’s milling research is mainly focusing on the identification of the cutting process. To identify the cutting process, it is vital to know the cutting forces...
Mechanical properties of oxide dispersion strengthened Inconel 625 alloy produced by laser powder bed fusion Demirci, Kadir Tuğrul; Dericioğlu, Arcan Fehmi; Gürbüz Güner, Selen Nimet; Department of Metallurgical and Materials Engineering (2024-11-26) The global energy demand, especially in developing countries, is expected to increase by 50% in the coming decades due to improving living standards. Nuclear energy, especially produced by Generation IV reactors, will have...
INVESTIGATION OF THE ROLE OF THE SEROTONIN 2C RECEPTOR POLYMORPHISMS IN ANTIDEPRESSANT-ASSOCIATED WEIGHT CHANGE IN TURKISH POPULATION Üzel, Uğur; Yanık, Tülin; Department of Biology (2024-11-26) Major depressive disorder (MDD) and anxiety disorders have become highly prevalent in recent years, especially following the COVID-19 pandemic. Although selective serotonin reuptake inhibitors (SSRIs) are the first-line tr...
On-site hydrogen-rich gas production from diesel: A comprehensive study on catalyst development with nickel and diverse metal oxides (MgO, La2O3, CeO2, SiO2) supported on alumina Sahingoz, Nurbanu Cakiryilmaz; Talu, Kerem; OKTAR, NURAY; Doğu, Timur; Pamuk, Ibrahim (2024-11-25) The study aimed to investigate the impact of nickel-incorporating diverse metal oxides (MgO, La2O3, CeO2, SiO2) supported on alumina on the Diesel steam reforming reaction. Catalytic activity tests were performed within a ...
Examining the effectiveness of argumentation instruction on students’ misconceptions about the particulate nature of matter and dissolution on the basis of ontology Mutluer, Hacer; Çakıroğlu, Jale; Department of Science Education (2024-11-22) The study aims to identify the misconceptions of 7th-grade students regarding the particulate nature of matter and dissolution and to examine the effect of argumentation instruction on these misconceptions. Furthermore, ...
High entropy sulfides as cathode materials for thermal batteries Aşcı, Cem; Toparlı, Çiğdem; Department of Metallurgical and Materials Engineering (2024-11-22) Thermal batteries are primary batteries and are mostly utilized in military applications such as power supply for electronic units in guided missiles or satellites, and ejection seats in fighters. They exhibit high power d...
Control of leading edge vortex and three-dimensional surface separation on a non-slender delta wing using passive and active techniques Çetin, Cenk; Yavuz, Mehmet Metin; Department of Mechanical Engineering (2024-11-19) In line with the progress achieved in unmanned aerial vehicle (UAV) technologies in recent decades, interest in the control of flow structures over delta wing planforms, which constitute the baseline for such vehicles, has...
Sustainable development of energy, water and environment systems as a key opportunity for decarbonisation Kılkış, Şiir; Krajačić, Goran; Duić, Neven; Rosen, Marc A.; Ahmad Al-Nimr, Moh'd (2024-11-15) Visionary action for integrating across systems towards decarbonisation is a crucial need for better respecting the life-support systems of the planet and providing benefits for humanity. Upholding this guiding vision, the...
Syntheses, photophysical and chiroptical properties of chiral diaminodicyanoquinodimethanes Gökpınar, Aslınur; Akdağ, Akın; Department of Chemistry (2024-11-15) The determination of absolute configuration and enantiomeric excess of chiral compounds is a developing field with potentially broad applications. It is crucial to decide on the rapid and accurate absolute configuration ...
EXPLAINABLE AND CONTEXT-AWARE MACHINE LEARNING FOR COMMON AND IMBALANCED ATMOSPHERIC FORECASTING Şenocak, Ali Ulvi Galip; Yılmaz, Mustafa Tuğrul; Department of Civil Engineering (2024-11-14) Machine learning-based post-processing can enhance physics-based numerical weather prediction models’ forecasts, yet challenges remain in handling extreme events and ensuring model explainability. This dissertation present...
Development of silica fiber reinforced polybenzoxazine composites filled with alumina particles as ablative materials Küçük, İbrahim Egemen; Çınar, Simge; Department of Metallurgical and Materials Engineering (2024-11-13) The aerospace industry is seeking a replacement of phenolics to use in ablative materials because of their toxicity to human health. One of the most promising candidates is polybenzoxazine materials because of their extrem...
Correlation for oxygen transfer coefficient for high cell density yeast and analysis of mixing in bioreactors using computational fluid dynamics Koyuncu, Alper; Çalık, Pınar; Department of Biotechnology (2024-11-11) Bioreactor operation conditions are important for production of biomolecules. Herein; oxygen transfer at laboratory scale and mixing at industrial and laboratory scale bioreactors were analysed. In oxygen transfer, a mode...
Analysis of HLA and Receptor Gene Polymorphisms in Multiple Myeloma Akin, Hasan Yalim; Güray, Nülüfer Tülün; Beksaç, Meral; Department of Biochemistry (2024-11-6) Multiple myeloma (MM) is a treatable but rarely curable neoplastic plasma-cell disorder, primarily effecting elderly with a male predilection with a higher incidence rate in African ancestry. Natural killer (NK) cells are ...
Milling Force Estimation Based on Spindle Model Altınel, Batuhan; Çalışkan, Hakan; Orguner, Umut; Department of Mechanical Engineering (2024-11) This thesis proposes a real-time estimation method for milling cutting forces, using intrinsic signals such as motor currents, voltages, and angular encoder feedback. The approach relies on a spindle model with electrical ...
Day-ahead electricity price forecasting for Türkiye using an ensemble machine learning technique Özbudak, Çağkan; Avşar, Zeynep Müge; Kat, Bora; Department of Industrial Engineering (2024-11) In a liberal electricity market where there is competition, accurate hourly electricity price forecasting is important. Electricity producers and consumers require methods for precise price predictions. Producers and cons...

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