Browsing OzU Theses & Dissertations by Title
Now showing items 307-326 of 516
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Mechatronic design and analysis of a solenoid based injector
(2019-08-19)Injectors are devices for producing spray, namely, for creating small liquid droplets. In the automotive industry, generally, the injectors are used to inject fuel into the combustion chamber. In recent years, systems are ... -
Meso-scale cooling devices experimental and numerical heat transfer analysis
(2017-01)Various thermal management strategies and related technologies are recently developed based on the specific needs, which they are designed to fulfill. Some of these technologies are muffin fans, synthetic jets, and ... -
Metaheuristic approaches for maximum blood collection problem
Thanks to recent technological and medical advances, blood components can now be extracted from whole blood after a donation. One of such components is the platelet, which has a wide range of uses in medical fields, including ... -
Minimizing warpage using taguchian methodology and robust optimization
(2018-04)Injection moulding, which is considered to be one of the most efficient plastic raw material processing methods in plastic industry regarding to its high production rate when manufacturing parts with complex geometries are ... -
Mispricing in borsa Istanbul stock returns
(2018-09)Stock return anomalies literature has been boosted in the last decade and the number of “anomaly factors” detected has increased dramatically which was described by Cochrane (2011) as “factor zoo”. We investigated the ... -
Mobility management and resource allocation strategies for visible light communication networks
(2021-05-11)There has been a growing interest in Visible Light Communications (VLC) in recent years. The existing works in the literature on point-to-point VLC systems are well established, and especially the studies on physical layer ... -
Modeling and optimization of chemical mechanical polishing of semiconductor materials
Chemical mechanical polishing (CMP) is a process of planarization of metal and dielectric surfaces typically in microelectronic devices manufacturing. Planarization is achieved by removing material from the wafer surface ... -
Modeling and simulation of three-phase bidirectional electric vehicle charger
The aim of this research is to investigate how an electric vehicle (EV) charger with controllers performs and affects the EV battery, integrated to the grid. At present, typical applications of EV chargers usually include ... -
Modeling battery sizing optimization algorithms for various use cases
Battery energy storage systems (BESS) increase energy controllability and grid flexibility. One of the most important issues in BESS investments is optimal BESS sizing for various needs. In this thesis, it is aimed to ... -
Modeling of RF energy harvesting and energy consumption system for low power wireless sensor networks
(2017-01)Recently, with the advancement of technology, there has been a rapid growth of low power wireless devices, such as wireless sensor networks (WSNs) and Internet of Things (IoT). Therefore, the energy requirement for perpetual ... -
Modelling prepayment in mortgages with a bank exercise
Home loans are one of the longest-term products in the Banking sector and are exposed to multiple macroeconomic cycles throughout their maturity. Each home loan contract includes the right of the loan to pay at any time ... -
Modelling surface plasmon resonances of arrays of nano particles on a dielectric substrate using discrete dipole approximation with surface interaction (DDA-SI)
(2017-06)Analysis of surface plasmon resonance of arbitrary shape nano-particles on a substrate is important for many engineering applications. The strong optical absorption of noble metal nano-particles is due to the localized ... -
Modern data management strategies for machine learning tasks: A sports analytics use case on cloud platform
There is no doubt that data is the most valuable asset today. The efforts of enterprises in digital transformation and creating a data-driven culture are the most concrete indicators of this. Nowadays, where data transforms ... -
Molecular simulations of bio-MOF membranes for uremic toxin separation
(2021-08-27)Metal organic frameworks (MOFs) have recently gained importance for gas and liquid separations due to their large surface areas and tuneable pore sizes. The accumulation of urea and creatinine which are small and ... -
Multi-compartment inventory routing problem with adjustable compartment sizes
(2021-06-10)In this study, we focus on a problem where the supplier manages the customers’ in ventories and coordinates the distribution of multiple products to customers. Hereby the supplier can minimize the transportation costs by ... -
Multi-criteria decision-making approach for risk management in modular construction projects
While there exists an ever-rising interest in modular construction projects, the current performance does not depict its full capabilities. This is mainly due to practicing 'stick-built' methods under a roof, implying ... -
Multi-hop hybrid FSO/RF communication systems
(2014-08)The reliability of free-space optical (FSO) links is severely restricted by weather-dependent atmospheric phenomena including absorption, scattering and turbulence. An efficient solution is to build hybrid links where a ... -
Multi-lingual depression-level assessment from conversational speech using acoustic and text features
(2018-12-19)Depression is a common mental health problem around the world with a large burden on economies, well-being, hence productivity, of individuals. Early diagnosis and detection of depression can aid treatment, but diagnosis ... -
Multi-pick round robin arbiter
(2012-08)In this thesis, we propose two multi(m)-pick Round Robin Arbiter (RRA) architectures. An m-pick RRA selects the m topmost requests out of n inputs with priority order indicated by an internally kept pointer (with an update ... -
Multi-scale binary similarity a local binary pattern variant for face recognition
(2018-08)Face recognition problem were studied for more than four-decade, and many descriptors and neural network architectures have been proposed since then. The aim is simple, extract features from the same subjects for training ...
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