Yüksek Lisans Tezleri
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/5799
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Master Thesis QOS-AWARE DOWNLINK SCHEDULING ALGORITHM FOR LTE NETWORKS: A CASE STUDY ON EDGE USERS(Abdullah Gül Üniversitesi, 2016) UYAN, OSMAN GÖKHAN4G/LTE (Long Term Evolution) is the state of the art wireless mobile broadband technology. It allows users to take advantage of high internet speeds. It makes use of the OFDM technology to offer high speed, which supplies the system resources both in time and frequency domain. The allocation of these resources is operated by a scheduling algorithm running on the base station. In this thesis, we investigate the performance of existing downlink scheduling algorithms in two ways. First we look at the performance of the algorithms in terms of throughput and fairness metrics. Second, we suggest a new fairness criterion, QoS-aware fairness which accepts that the system is fair if it can supply the users with the packet delays that they demand, and we evaluate the performance of the algorithms according to this metric. We also propose a new algorithm according to these two metrics, which especially increase the throughput gained by the edge users, the QoS-fairness, and classical fairness of the system without causing a big degradation in cell throughput when compared to other schedulers.Master Thesis PERFORMANCE EVALUATIONS OF SINGLE MODE OPTICAL RECEIVER FOR DEGRADED VISUAL FIELD AND PHOTONIC LANTERN BASED COHERENT DETECTION(Abdullah Gül Üniversitesi, 2016) ORAN, ABDULLAHImaging at degraded visual environments is one of the biggest challenges in today’s imaging technologies. Especially military and commercial rotary wing aviation is suffering from impaired visual field in sandy, dusty, marine and snowy environments. For example, during landing the rotor churns up the particles and creates dense clouds of highly scattering medium, which limits the vision of the pilot and may result in an uncontrolled landing. The vision in such environments is limited because of the high ratio of scattered photons over the ballistic photons that have the image information. In this thesis, we propose to use optical spatial filtering (OSF) method in order to eliminate the scattered photons and mainly collect the ballistic photons at the receiver. OSF is widely used in microscopy; to the best of our knowledge this thesis will be the first application of OSF for macroscopic imaging. Our experimental results show that most of the scattered photons are eliminated using the spatial filtering in a highly scattering degraded visual field. The results are compared with a standard broad area photo detector which shows the effectiveness of spatial filtering. Free space optical systems have applications in different areas such as laser ranging, three-dimensional imaging, weather predictions and optical wireless communication. Some applications require very high performance free space optical systems that are not available today. The need of systems with higher performance and lower size, weight and power (SWaP) is the biggest research motivation of free space optical systems. Between various detection techniques, vi coherent optical detection comes forward for applications that require high sensitivity and bandwidth. Coherent detection based LIDAR systems have the potential to provide quantum noise limited performance. However coherent systems suffer from poor free space to fiber collection efficiency due to the single mode detection characteristics and small size of the optical fiber. In order to overcome this problem, photonic lantern is introduced to effectively collect the multimode beam coming from free space and convert it to a number of single mode fibers. The photonic lantern consists of a multimode fiber to a number of single-mode fibers. The collection efficiency enhancement of photonic lanterns have been investigated, however there is no study on the signal to noise ratio –performance- improvement on the photonic lantern based free space coherent systems. In this thesis; the effect of random distribution of the optical power in the 19-port photonic lantern will be investigated mathematically. The photonic lantern based coherent detection system performance will also be simulated by using the MATLAB software. The output of this thesis may open the path to experimental demonstration and maybe even to a prototype.Master Thesis Phase noise filtering effects of mode-locked lasers(Abdullah Gül Üniversitesi, 2018) MBONDE, HAMIDUThe subject of Mode-Locked Lasers has experienced a massive growth over the last two decades. Previously meant as the source of ultra-short optical pulses, its concepts have recently expanded to be applicable in areas beyond Optics such as Biomedical[1], Micro-machining[2], Sensing[3] and RF/Microwaves communication[4]. In particular this thesis focuses on application of Mode-Locked Lasers in RF/Microwave communications. One of the common problems with RF communication systems is signal integrity. Due to the nature of oscillation systems that are used to produce RF signals there is always an inevitable amount of undesirable signal associated with main signal being generated. These spurious (noise) signals have significant effect on the efficient performance of particular RF system. Low noisy RF signals are highly desirable and have many applications in high speed communication, RADAR and electronic warfare. Therefore it is critical to have an efficient means of producing low noise RF signals. Generating RF signals by Optical means has emerged as a major solution to this problem. Various methods for optically generating lower noise RF signals of high frequency have been developed such as frequency stabilized mode-locked lasers[5], phase locked loop based oscillators[6] and optoelectronic oscillators[7]. In this thesis a novel approach to this problem is presented, instead of generating lower noise signals a unique method of efficiently filtering the noise of RF signal using Mode-Locked Laser is explained. The first two chapters give brief introduction to mode-locked lasers and phase noise in oscillator, the concepts which will be used throughout this thesis. Then the experimental setups of the proposed system with the results obtained are presented in Chapter 3. Furthermore, theoretical study and analysis of limitations of this method is presented in ii Chapter 4. This includes analysis of these limitations as well as supporting simulations results. Phase noise is frequency domain term which in time domain is referred to as jitters. For various applications it is necessary to determine total jitters value of the system in order to estimate its bit error rates and other performance features. Chapter 5 of this thesis is dedicated to introducing jitter concept and a numerical method of converting a phase noise spectrum into jitter Probability Density Function (PDF).Together with the MATLAB code for aforementioned simulation a special GUI (Graphical User Interface) has been developed for the purpose of converting any given phase noise spectrum into its corresponding jitter PDF. The last chapter gives some concluding remarks and look at the possible futures of this work.Master Thesis Centella asiatica extract containing bilayered electrospun wound dressing(Abdullah Gül Üniversitesi, 2019) KOÇ, NURAY; İşoğlu, İsmail AlperInnovative and bioactive wound dressings prepared by electrospinning mimicking the native structure of the extracellular matrix (ECM) have gained significant interest as an alternative to conventional wound care applications. In this study, bilayered wound dressing material was produced by sequential electrospinning of quaternized poly(4- vinyl pyridine) (upper layer) on the Centella Asiatica (CA) extract containing electrospun poly(D, L-lactide-co-glycolide) (PLGA)/poly(3-hydroxybutyrate-co-3- hydroxy valerate) (PHBV) blend membrane (lower layer). Scanning electron microscopy (SEM) was utilized to show a uniform and bead-free fiber structure of electrospun membranes. The average diameter of CA extract containing electrospun PLGA/PHBV blend membrane was calculated 0.471±0.11 µm, whereas the average fiber diameter of electrospun poly(Q-VP) membranes was in the range of 0.460±0.057 µm. Chemical, thermal, mechanical properties, and adsorption capacity of electrospun membranes, as well as the cumulative release of CA from the electrospun PLGA/PHBV membrane, were investigated. Viability, adhesion, and attachment of human fibroblast cells on the electrospun membranes on pre-set days were evaluated by the colorimetric CellTiter 96® Aqueous One Solution Cell Proliferation Assay (MTS assay) and SEM. Results revealed that CA loaded bilayered electrospun wound dressing showed promoted attachment and proliferation of fibroblasts. Hence, it can be concluded that CA extract containing bilayered electrospun wound dressing prepared in this study has a promising potential for wound healing applications.Master Thesis Optimal Isı Yalıtımı için Yapı Malzemelerinin Özelliklerinin Belirlenmesi ve Yapı Malzemesi Seçimi(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2023) Kılıçarslan, Mustafa Özgür; Kara, GökmenThe escalating urgency of climate change demands innovative approaches to energy conservation, particularly in the realm of building construction, known for substantial energy consumption and greenhouse gas emissions. This research delves into transformative strategies for enhancing energy efficiency in office buildings, with a concentrated analysis of the implementation of advanced building materials and state-of-the-art construction methodologies. Utilizing OpenStudio, a cutting-edge energy modeling software tool from the U.S. Department of Energy's National Renewable Energy Laboratory, this study quantitatively evaluates the energy-conserving potential of various avant-garde materials and construction techniques. The investigation is anchored around a case study of an office building in Ankara, Turkey, serving as a representative model for exploring diverse scenarios. These scenarios encompass the integration of high-performance framing, airtight construction, materials with superior thermal resistance properties, and advanced glazing systems. The research meticulously assesses each scenario with the aim of delineating the configurations that most significantly reduce energy consumption. The results reveal that specific combinations of advanced techniques and materials can lead to substantial reductions in energy use, thereby contributing profoundly to global efforts in mitigating climate change impacts. The conclusion emphasizes the necessity for widespread adoption and standardization of these energy-efficient practices in the construction industry, proposing them as pivotal contributors to the broader environmental sustainability movement.Master Thesis Enhancing breast cancer detection with a hybrid machine learning approach(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2024) Etcil, Mustafa; Güngör, Burcu; Güngör, V. CagriAccording to the World Health Organization (WHO), breast cancer is one of the most prevalent illnesses, with 7.8 million instances recorded in the previous five years. As such, it poses a serious threat to world health. This alarming statistic underscores the urgent necessity for enhanced diagnostic methods. Against this backdrop, the current study proposes a novel diagnostic model, the CSA-PSO-LR classifier, which innovatively combines the clonal selection algorithm (CSA) with particle swarm optimization (PSO) to refine the logistic regression model training process for breast cancer detection. This research employs two extensively recognized datasets: the Wisconsin Diagnostic Breast Cancer (WDBC) and the Wisconsin Breast Cancer Database (WBCD), putting into practice a strict evaluation procedure that assesses performance using Bayesian hyperparameter optimization and 10-fold cross-validation. Furthermore, the study introduces CPU parallelization strategies to significantly curtail the model training time. Comparative analyses against machine learning algorithms, encompassing decision trees, extreme gradient boosting, k-nearest neighbors, logistic regression, random forests, and support vector machines, demonstrate the CSA-PSO-LR classifier's superior performance in detection accuracy and F1-measure. This investigation contributes a groundbreaking approach to the early detection of breast cancer, potentially facilitating more effective treatment plans and enhancing patient survival prospects.Master Thesis İnsan Bağırsak Mikrobiyotasından Hastalık Biyobelirteçlerinin Tespiti için Makine Öğrenmesi Temelli Sistem Geliştirilmesi(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2024) Koçak, Ayşegül; Güngör, Burcu; Yousef, MalikThe human gut microbiota consists of a diverse ecosystem of organisms, encompasses billions of species. Recently developed next-generation sequencing methods have enabled researchers to examine the microbiota in greater detail, leading to new insights into its functions and dysfunctions. This study aims to identify metagenomic biomarkers (Microorganism-Enzyme Pairs) for colorectal cancer (CRC). The tool that we used allows for the analysis of microorganisms and enzymes within the gut microbiota. It achieves this by initially clustering enzymes based on their correlations with species and subsequently utilizing these clustering results to evaluate the ability of groups to differentiate between patient and healthy cohorts. By integrating species and enzymes, it is possible to identify pathogen microorganisms and enzyme clusters, that have the potential to distinguish cases (individuals with CRC) from controls (healthy individuals). The identified enzyme clusters and associated species could potentially act as biomarkers for colorectal cancer (CRC), enabling early diagnosis and more effective treatment. This approach holds promise for further exploration of the gut microbiota and its importance in human health and illness. Keywords: Bioinformatics, Machine Learning, Colorectal Cancer DiagnosisMaster Thesis Tree-net: Biyomedikal Görüntü Segmentasyonu için Tree-net: Darboğaz Özellik Süpervizyonu Kullanılan Yapay Sinir Ağı Modeli(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2024) Demirci, Orhan; Yılmaz, BülentIn this thesis, we introduce Tree-NET, a novel approach for medical image segmentation utilizing bottleneck feature supervision. This method enhances traditional segmentation algorithms by keeping supervision between bottleneck features of the network. The primary goal is to improve the model's ability to learn discriminative and robust features while simultaneously reducing computational costs. Bottleneck feature supervision involves compressing the input and label data using Autoencoders and then supervising the bottleneck features with a segmentation network named 'Bridge-Net,' which can be any segmentation model of choice. We applied Tree-NET to two critical medical image segmentation tasks: skin lesion segmentation and polyp segmentation. Our experiments demonstrate significant improvements in segmentation accuracy and efficiency. For instance, the U-NET backboned Tree-NET uses only 154.43 MB for executing and storing the model, which is almost 3.5 times smaller than the original U-Net while having a close number of trainable parameters. In skin lesion segmentation, Tree-NET achieved dice, Intersection-over-Union (IoU), and accuracy scores of 0.893, 0.751, and 0.977 respectively. For polyp segmentation, the scores were 0.856, 0.795, and 0.923 for dice, IoU, and accuracy respectively. Compared to traditional segmentation models, the empirical results show that Tree-NET achieves higher accuracy with reduced training time and computational cost, thus representing a significant advancement in medical image analysis by providing more reliable and efficient tools for clinical applications.Master Thesis Mesleki Bilgi Transferinin Bir Aracı Olarak Türk Mimarlık Dergileri: 1960-1980(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2023) Katırcıoğlu, Nida; Tozoğlu, Ahmet ErdemIn this thesis, the role of architectural periodicals published in Turkey in the context of knowledge transfer between 1960 and 1980 is analyzed with textual analysis. One of the functions of architectural periodicals, transferring the changes and developments in the professional field in the world to their readers, has been investigated. The contents of three architectural periodicals that transfer architectural knowledge have been categorized by examining their archives.Master Thesis Ultra Geniş Bantlı Vivaldi Antenlerin Tasarımı ve Performans İyileştirmesi(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2024) Güzelkara, İzzet; Kılıç, Veli TayfunUltra-wideband technology has become a trending topic in the academic community since 2002 due to the release of the spectral mask by Federal Communications Commission, allowing the use of 3.6-10.1 GHz band for commercial and industrial applications. Being one of the fundamental components of ultra-wideband systems, ultra-wideband antennas are an important research area. In this research, Vivaldi antennas for ultra-wideband communications and several performance enhancement techniques for the antennas were studied. Antennas were designed and simulated using a commercially available three-dimensional electromagnetic simulation tool. First, a simple design of a Vivaldi antenna with a rectangular microstrip feed was obtained. The initial design has a -10 dB impedance bandwidth between 3.1 and 13.6 GHz and an average realized gain of 2.75 dBi. A method based on the alignment of the microstrip feed was described for adjusting the bandwidth of the initial design. Then, using several performance enhancement techniques such as implementation of corrugations and a parasitic patch, the antenna design was improved. Thanks to the applied methods, an antenna design with -10 dB impedance bandwidth extending from 1.33 to 10.1 GHz and an average realized gain of 6 dBi was achieved. Findings of this thesis study show that Vivaldi antennas having specific structures designed with the applied techniques are a promising solution for ultra-wideband communication systems, especially where antennas with directive radiation patterns are desired.