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ENSTİTÜLERİzmir Katip Çelebi Üniversitesi Kurum Koleksiyonu
Erişime Açık

Assessment of Fouling in Plate Heat Exchangers with Machine Learning Algorithms

Ceren VATANSEVER

Fouling is the accumulation of undesired particles on heat transfer surfaces which affects the heat transfer performance of a heat exchanger negatively. The accumulation of these particles prevents heat from being transformed through the heat exchangers by generating a fouling layer-like insulation. The main aim of the thesis is to investigate the machine learning algorithms to classify and predict the fouling status of PHE used in combi-boilers, to generate the background of the predictive maintenance, besides investigating the fouling effect on PHEs in terms of heat transfer and energy consu ...Daha fazlası

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A case study on PV-aided net zero-energy building: the daycare in IKCU

Loic Rebnodji DJANA

At the core of our growing societies, energy supply stands as one of the major concerns today, and it will be an inevitable challenge for our near future. As the nations are looking to find solutions for the transition from fossil fuels – depleting at a high rate – to alternative energy sources, solar energy through PV cells is getting attention as an affordable and easily implemented option especially for power supply in commercial and residential buildings.

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3D Modelling Performance and Usage Area Analysis of Popular UAVs in the Surveying and Mapping Industry

Metehan MARAL

3D realistic models are used in many fields such as engineering, archaeology, and city planning. The most effective technique used to create these models is the photogrammetry technique. The hardware and software features of the unmanned aerial vehicles to be used to implement this technique are of great importance. Many different unmanned aerial vehicles can be used for photogrammetric studies in the surveying and mapping industry, and therefore users have difficulties choosing needed unmanned aerial vehicles for their studies. In this study, 3D modelling performance and usage areas of popula ...Daha fazlası

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Design and Development of a Compound Mobile Serial Robot with Remote Control Application

Alpay Toprak

The design of a compound mobile serial robot controlled remotely by a C# program utilizing the MQTT (Message Queuing Telemetry Transport) protocol is the main topic of this thesis. The robot is powered by a Raspberry Pi. The advantages of mobility and serial manipulators are combined in the compound mobile serial robot, allowing it to carry out difficult tasks in a variety of settings. As the main computer, the Raspberry Pi gives the robot and its control application connectivity and processing capability. Data interchange and command execution are made possible by the integration of the MQTT ...Daha fazlası

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Dynamics of Axisymmetric Drops Impacting onto Heterogeneous Surfaces

Atalay SEÇER

The way a droplet behaves when it lands on a surface depends on the characteristics of the surface and the flow conditions of the droplet. It can deposit, rebound, splash, etc. There is delimited research on how surface roughness and chemical composition affect the deformation of droplets upon impact, in comparison to the studies done on smooth surfaces. Our model uses two-phase flow to simulate the axisymmetric motion of droplets over surfaces with heterogeneities by combining the Navier-Stokes equations for motion with the Cahn-Hilliard equation for tracking the phase-field. We integrate the ...Daha fazlası

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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

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Artificial Intelligence Based Resource Allocation in Cell-Free Networks

Mert Demirel

With the rapid development of technology, cellular networks can no longer meet the demands of wireless networks. Communication systems need to be updated to ensure that every user equipment (UE) receives accurate and efficient service. Cell-free (CF) networks offer advantages over cellular networks, such as more flexible resource allocation, higher capacity, better coverage and lower interference. The deployment of multiple access points (APs) and flexible allocation of resources leads to higher network performance and efficiency. In addition, in CF networks, users can communicate with ...Daha fazlası

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Synthesis and Design of Graphene-Based Nanostructure as an Electromagnetic Wave Absorbing Material

Gülperi Feyza YAVUZ

The progress of electronic information technology brings along some problems caused by electromagnetic (EM) waves. For this reason, electromagnetic absorber materials have drawn attention recently for application areas such as electronic, defense stealth technology, and satellite communication systems.

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Development of Multi-Walled Carbon Nanotube-Based Flexible Screen-Printed Disposable Electrodes for Sensor Applications

Submitted to the Graduate School of Natural and Applied Sciences in partial fulfillment of the requirements for the degree of

Millions of people worldwide suffer from diabetes and diseases caused by diabetes. As a result of the statistical studies carried out by the World Health Organization (WHO), the number of people suffering from diabetes was 108 million in 1980, then it was increased to 422 million in 2014. Diabetes is increasing rapidly, particularly in underdeveloped and developing countries and it was predicted that 1.5 million people died because of it only in 2019 (WHO, 2021).

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Classification of Hand Gestures Using Time-Frequency Analysis and Different Artificial Intelligence Methods

Deniz Hande Kısa

Hand gesture-based systems are one of the most effective technological advances. Surface electromyography (sEMG) is utilized as a popular input data for gesture classification with elevated accuracy and advanced control capability. In this thesis, which is based on the classification performance of Hilbert-Huang spectrum (HHS) images obtained from Hilbert Huang Transform (HHT) of the sEMG of the gestures, an evaluation of the results of artificial intelligence (AI) methods on hand gesture classification using HHS image is presented.

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Effect of Coating Material on High Temperature Oxidation of Inconel 738LC Superalloy

Simge AVCI

Inconel 738LC alaşımı nikel bazlı bir süperalaşımdır ve genellikle gaz türbinlerinde, türbin nozullerinde ve türbin bıçaklarında kullanılmaktadır. Gaz türbin motoru bileşenlerinde kullanımı yaygın olan Inconel 738LC çalışma ortam koşulları sebebi ile yüksek sıcaklık ile birlikte yüksek korozyona da maruz kalmaktadır. Bu sebeple, bu malzemenin yüksek sıcaklık mukavemet değeri ve yüksek sıcaklık oksidasyon direnci büyük önem taşımaktadır. Bu çalışmada karbon elementinin Inconel 738 alaşımında mekanik ve mikroyapısal etkileri incelenmiştir. Oda sıcaklığında ve iki farklı yüksek sıcaklıktak ...Daha fazlası

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A Suggestion for the Prevention of Tax Loss Due to Low Value Declaration in Real Estate Sales Transactions: Auction Sales Method

Sanem Çakır

The financing source used in the provision of public services is derived from collected public revenues. The regular and calculated collection of these revenues is highly significant for the state treasury.

6698 sayılı Kişisel Verilerin Korunması Kanunu kapsamında yükümlülüklerimiz ve çerez politikamız hakkında bilgi sahibi olmak için alttaki bağlantıyı kullanabilirsiniz.

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