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ENSTİTÜLERİzmir Katip Çelebi Üniversitesi Kurum Koleksiyonu
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Dip Coating of Metal Implants with Antibacterial Polymer Matrix for the Prevention of Implant Associated Infections

Emine Hilal Altıntop

The recent increase in life expectancy and changing living conditions have led to a rise in developments regarding implants, particularly in orthopedic implants. It is important to note that this statement is based on objective evidence and not subjective evaluations. Despite these advances, issues with metallic implants such as Ti, Ti alloy, Co-Cr alloy, and stainless steel (AISI 316L), which are currently preferred, persist. There are several limitations to implant materials, including corrosion due to the physiological environment, bacterial infection, and biofilm formation. Although ...Daha fazlası

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pyNeuroSim: Another Python-Based Neuron Simulator

Ülkü Şen

Mathematical models have been devised to comprehend and scrutinize biological neurons' structure and behavioural patterns. In order to assist in the utilization and visualization of these mathematical models for computations, simulations have been designed. In this thesis study, a simulator has been developed to be educational and to require no coding skills. It is intended to have a simple, understandable, and straightforward interface. This simulator includes simple interface pages where users can manually input parameters to be used in the models, and it also includes readymade experiments ...Daha fazlası

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Inventory and Asset Tracking Application

Aıda Ulutaş

The Inventory and Asset Tracking Application is a user-friendly web tool designed to help organizations keep track of their assets. It simplifies the process of managing and organizing different resources, making it easier for businesses to handle their belongings efficiently. With a straightforward interface and easy-to-use features, the app aims to improve how organizations handle their assets, providing a convenient solution for modern and reliable asset management. The application employs the .NET and .NET Core frameworks, with a focus on ASP.NET, Entity Framework, and SQLite for backend d ...Daha fazlası

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Heart Attack Analysis Detection System Using Machine Learning Methods

SERDAR YANIK

In order to investigate Heart Attack Analysis and Detection Using Machine Learning Methods, models that predict the type of news in a new condition determined by using Machine Learning Models have been studied. In particular, the performance of various classifiers, including logistic regression, Knearest neighbour (KNN), support vector machine (SVM), Naive Bayes and decision tree, is compared. In the experiments using a real-life dataset, logistic regression and SVM gave the best results with a test accuracy of 90%. Naive Bayes achieved an accuracy of 86.67%, KNN 83.33% and decision tree 63.33 ...Daha fazlası

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Ischemic Stroke Lesion Segmentationin MRI Images Using U-ShapedConvolutional Neural Network

Ilayda Alpay

İnme, günümüzde dünyada önde gelen ölüm nedenlerinden biridir. İnme geçiren hastaların tedavisi ve hayatta kalması için acil ve kesin tanı çok önemlidir. İskemik inmenin tanı ve tedavisi çoğunlukla manyetik rezonans görüntülemeye (MR) dayanmaktadır. Bu çalışmanın amacı, 2 boyutlu MR görüntüleri kullanarak U şeklinde bir evrişimsel sinir ağı mimarisi (CNN) oluşturarak iskemik inme lezyonunu bölütlemek ve çeşitli kayıp fonksiyonları kullanarak çalışmanın kayıp sonuçlarını, zar benzerlik katsayısını (DSC), hassasiyetini ve özgünlüğünü değerlendirmektir. Oluşturulan modeli eğitmek, doğrulamak ve t ...Daha fazlası

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Electrochemical Detection of Dopamine Using a Simple Redox Cycling-Based Device

İpek AVCI

In order to understand brain function, diagnose disorders and develop precise treatments, the detection of dopamine using electrochemical devices is important. The detection of dopamine using electrochemical devices continues to be investigated, as evidenced by studies in the literature in recent years. This is because it helps to unravel the complexity of brain function, facilitate the diagnosis of neurological disorders and enable the development of precise treatments. These devices are important in neuroscience and medicine.

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Investigation of the Effects of Statistically Significant Features on the Classification of EEG-Based Motor Imagery Tasks

Murside Degirmenci

Motor imagery (MI) task classification is highly prevalent in Electroencephalography (EEG)-based Brain-Computer Interface (BCI) research area. Extremity movement task classification and finger movement classification studies are presented in this thesis. In extremity movement classification, binary-class (right hand and left hand) and multi-class (right hand, left hand, right hand, and left hand) classifications are performed using 4 different feature extraction approaches and statistically significance-based feature selection (the independent t-test, one-way ANOVA test). Firstly, time- ...Daha fazlası

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Development of a Tele-Physiotherapy Device to Remedy Elbow Joint with Mobile App Support

Arda SARPAY

The aim of this thesis was to develop a wearable tele-physiotherapy device that addresses the remote elbow joint rehabilitation. The developed device consists of a wearable exoskeleton equipped with servo motor, joint angle sensor, EMG sensor, battery and Wi-Fi module. By connecting with the Android mobile application, it enables real-time monitoring of EMG data and programming of personalized exercise programs. The device offers convenience and comfort to patients by eliminating the need for face-to-face physiotherapy sessions and aims to reduce treatment costs and treatment time. The develo ...Daha fazlası

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Performance Study of Darrieus Turbine Using Numerical Simulation

Abdelrahman ABUALEENEIN

In this study, CFD abilities to handle Darrieus turbine simulation were assessed and validated in light of related experimental and numerical studies. Simulation methodology is based on two-dimensional modeling of a double NACA 0018 bladed, straight blade Darrieus turbine. Modeling approach, meshing procedure, and solution parameters are mentioned and discussed in details. ANSYS fluent 18.2 is used to carry out all simulations. Experimental test’s data from literature [11] are implemented in context of results verification, also, Courant number and y plus analyses were provided. Due to the sim ...Daha fazlası

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Manufacturing Duplex Steel by Using Induction Furnaces and Characterization

Gülşah Uslu

Duplex steels are materials that contain ferrite and austenite phases in their structure, have high resistance to corrosion, and also show improved mechanical values. While the austenite in its structure provides general corrosion resistance and ductility, ferrite provides resistance to stress corrosion cracking and mechanical strength. Duplex steels have widespread use, especially in shipping and petrochemistry. The current production method of duplex steels, which are in demand with a wide usage area, is generally argon oxygen decarburization furnaces (AOD). In addition to the production met ...Daha fazlası

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Estimation of Accommodative Forces in Aging Human Eye

Leyla Nur TURHAL ÇALIŞKAN

Changes in mechanical properties of the human crystalline lens over the years result in loss of accommodation amplitude and eventually in presbyopia, a condition in which the focus-shifting ability of the eye diminishes. Some material property changes of aging human crystalline lenses have already been mapped over human life. Young’s modulus, anterior and posterior lens curvatures, lens thickness, and refractive index are examples of these well-studied properties. However, knowledge of forces applied to the crystalline lens for generating corresponding focus shifts has been limited to a few ag ...Daha fazlası

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Examining the Accuracy of DEM of Difference and 3D Point Cloud Comparison Methods: Open Pit Mine Case Study

Nilüfer ÖZDAŞ

With the widespread use of unmanned aerial vehicles (UAV), it has become possible to rapidly implement high-accuracy photogrammetric mapping studies over small areas using low-cost and basic systems. Through the comparison of images captured at various epochs of a specific area, 3D change detection between epochs can be easily carried out. The process involves extracting point clouds from images obtained via photogrammetric methods, followed by utilizing processing software to derive digital surface models from these point clouds. By taking the differences of these DSMs, 3D change detection ca ...Daha fazlası

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