Filtreler
Filtreler
Bulunan: 10 Adet 0.003 sn
Yayın Dili : eng ✕Ambargo Durumu : Süreli Ambargo ✕
Koleksiyon [2]
Ambargo Durumu [1]
Tam Metin [1]
Eser Sahibi [10]
Tür [2]
Yayın Tarihi [2]
Yayıncı [2]
Kayıt Giriş Tarihi [6]
Tez Danışmanı [9]
Yayın Dili [1]
Konu Başlıkları [20]
Süreli Ambargo

Hand Gesture Classification Using Features of Multivariate Synchrosqueezing Transform Based Time-Frequency Matrix

Lütfiye Sarıpınar

El hareketi tanıma, insan-bilgisayar etkileşimi için anlamlı el hareketlerinin sınıflandırılmasına yönelik bir prosedürdür. Yüzey elektromiyografisi (sEMG), amaçlanan hareketlerle ilgili içsel bilgileri taşıdığı için el hareketi sınıflandırma çalışmalarında sıklıkla kullanılmaktadır. Bu tez çalışmasında, zaman-frekans (TF) matrislerinden çıkarılan özellikler ile TF matrislerinden Negatif Olmayan Matris Çarpanlarına Ayırma (NMF) yöntemiyle çıkarılan özelliklerin sınıflandırma başarısının karşılaştırılması sunulmaktadır. TF matrislerini elde etmek için 4 kanallı sEMG sinyaline Çok Değişkenli Sen ...Daha fazlası

Yüksek Lisans 2023 Onan Güren İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü 0 Görüntülenme Ambargo Kalkış : 08.06.2024
Süreli Ambargo

Joining Aluminum 6061 Alloy Thin Sheets by Friction Stir Spot Welding Method

Serkan GÜNDOĞDU

In this study, the Friction Stir Spot Welding (FSSW) method was employed to join thin AA6061-T4 series aluminum sheets. The AA6061-T4 alloy used in the study has various applications, including aerospace and automotive industries. During the joining process using the FSSW method, emphasis was placed on three parameters: tool rotational speed, pin length, and pin width, considering the advantages of the aluminum alloy used. A total of 12 welding operations were performed with different parameter combinations. The obtained specimens were examined for their mechanical properties, temperature meas ...Daha fazlası

Yüksek Lisans 2023 Onur Ertuğrul İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü 0 Görüntülenme Ambargo Kalkış : 08.06.2024
Erişime Açık

Optimization of Drying Process of Plastic Granules Based on Stochastic Method with Neuro Regression Approach

Mustafa DİNÇ

Polymers contain moisture due to their chemical structure. Moisture in polymers is important for the quality of the final product and ease of processing. For this reason, polymers are subjected to drying before processes such as injection and extrusion. Drying is carried out at temperatures and times specified by the polymer suppliers. Over-drying leads to increased viscosity (processing difficulty) while under-drying leads to flow marks, burrs, and reduced tensile strength and impact strength. Over-drying also causes excessive energy consumption. In this study, the drying process optimization ...Daha fazlası

Yüksek Lisans 2023 Levent Aydın İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü 1 Görüntülenme
Süreli Ambargo

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

Yüksek Lisans 2024 Yalçın İşler İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü 0 Görüntülenme Ambargo Kalkış : 19.07.2024
Süreli Ambargo

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

Yüksek Lisans 2024 Gül Yılmaz Atay İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü 0 Görüntülenme Ambargo Kalkış : 29.08.2024
Süreli Ambargo

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

Yüksek Lisans 2024 Didem Şen Karaman İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü 0 Görüntülenme Ambargo Kalkış : 01.09.2024
Süreli Ambargo

Automated Captioning of Image and Audio for Visually and Hearing Impaired

Özkan Çaylı

Generating captions and text descriptions of images will enable visually and hearing impaired extended accessibility to the real-world, thus reducing their social isolation, and improving their well-being, employability, and education experience. This thesis presents significant advancements in algorithmic approaches for generating captions and text descriptions. These enhancements are pivotal in processing and interpreting both image and audio data. The focus on algorithmic innovation ensures that the platform is not only efficient but also adaptable to various types of visual and auditory in ...Daha fazlası

Yüksek Lisans 2024 Volkan Kılıç İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü 1 Görüntülenme Ambargo Kalkış : 01.09.2024
Süreli Ambargo

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.

Yüksek Lisans 2024 Mustafa Şen İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü 0 Görüntülenme Ambargo Kalkış : 26.09.2024
Süreli Ambargo

Estimation of Building Height from ICESat-2/ATLAS and Airborne LiDAR Data Using Machine Learning Algorithms

Aslıhan Yücel

The height of buildings in cities are of critical importance to urban planning and sustainable growth, as these factors are closely linked to environmental, economic, social, and aesthetic elements that shape the structure and character of cities. The main purpose of this study is to calculate building heights using machine learning algorithms based on airborne LiDAR and ICESat-2 data in urban areas. Sub-objectives of the study to achieve the main objective are: (a) investigate the relationships between spaceborne and airborne LiDAR data and integrate the data, (b) investigate the performance ...Daha fazlası

Yüksek Lisans 2023 Müge Ağca İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü 1 Görüntülenme Ambargo Kalkış : 08.06.2024
Süreli Ambargo

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

Doktora Tezi 2024 Yalçın İşler İzmir Katip Çelebi Üniversitesi Fen Bilimleri Enstitüsü 3 Görüntülenme Ambargo Kalkış : 19.07.2024
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