Browsing by Author "KARAKAYA, Ziya"
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Item COMPARISON OF SCHEDULING USED IN BIG DATA FRAMEWORKS(2022-02-24) Aljumaili, Saif; KARAKAYA, Ziya; YAZICI, AliBig Data applications have grown to become one of the main ingredients in the current information technology sector, providing an opportunity for decision-makers to achieve best outcomes, for instance in commerce and business. However, the speed at which such data gathering occurs varies in storage, management, and processing, in all of which the traditional database systems cannot handle such tasks as massive data collection. Resource management and task scheduling play an essential role in Big Data processing. There are different classifications of schedulers that are based on their different features, effectiveness, performance, and so on. However, in this thesis we classify, compare and investigate the detailed information associated with several schedulers being employed in Big Data frameworks. Moreover, this thesis identifies the weakness and strengths in different use cases of these schedulers. Furthermore, the study examines scenarios for the suitability of use cases so as to determine in which case the individual scheduler has some weakness or useless. Thus, these issues we cover in this thesis are not studied in the existing studies.Item DESIGN AND IMPLEMENTATION OF A PARALLEL BOUNDARY ELEMENT METHOD SOLUTION FOR 3D PARTICLE FLOW PROBLEMS IN MICROCHANNELS(2015-01-30) KARAKAYA, Ziya; BARANOĞLU, Besim; YAZICI, AliA new formulation for tracking multiple particles in slow viscous flow for microflu idic applications is presented. The method employs the manipulation of the boundary element matrices so that a system of equations is obtained relating to the rigid body velocities of the particle to the forces applied on the particle. The formulation is spe cially designed for particle trajectory tracking and involves successive matrix multi plications for which Symmetric Multiprocessing (SMP) parallelisation is applied. It is observed that the present formulation offers an efficient numerical model to be used for particle tracking and can easily be extended for multiphysics simulations in which several physics are involved.Item DESIGN AND IMPLEMENTATION OF IOT-BASED REFERENCE ARCHITECTURE FOR SMART HOMES(2022-03-10) Bello, Abdussamad; KARAKAYA, ZiyaInteroperability, which is the ability of applications, systems, devices, and services to work together reliably and consistently, is one of the most important problems of current smart home systems. The lack of interoperability and the accompanying technological partitioning (that is, managing different devices in the same environment with different applications) creates a major barrier for smart home developers and resistance to consumer acceptance of IoT products in their home environments. The aim of this study is to create a IoT-based Smart Home Reference Architecture that will manage, monitor, and process the data coming from devices and services in the smart home environment while increasing the interoperability. This study also presents a proof-of-concept solution for the proposed reference architecture using FIWARE components. In conducting this study, we made use of constructive research methodology and the ProSA-RA process to analyze existing works, their underlying issues, and then propose solutions to them. To further bridge the gaps in the smart home ecosystem, it is suggested that smart home developers adopt the reference architecture proposed in this study while developing their architectures, applications, and devices.Item DIGITAL TRANSFORMATION TOWARD INDUSTRY 4.0: A CASE STUDY IN TURKEY(2022-01-26) Elitok, Eda; KARAKAYA, ZiyaIndustry 4.0, otherwise known as 4th. Industrial Revolution, the Internet of Things (IoT), and Industrial IoT, has become a major driving force in transforming industries across the globe. This movement initially emereged in the strategies of Germany's high-tech manufacturing industry. Looking at Industry 4.0 from a broader perspective, we see an integrated process, including a series of concepts as cloud technology, the Internet of Things, augmented reality, additive manifacturing, autonomous robots, simulation, system integration, cybersecurity and big data. In this way, traditional manufacturing methods and digital processes can be realized by following different stages and methods for production. As a consequence, the digitalization of all these processes – likely to affect both social and economic lives in many different dimensions - has become inevitable for many sectors. Companies that cannot adapt to such transformation may face increasing difficulty in managing business processes to meet demands. In this research, a case study is conducted to analyze the positive effects of digital transformation toward Industry 4.0 on a production facility, and to explain the dynamics of the related transformation result. In detail, by comparing the digital transformation processes carried out in an aluminium production facility with both pre- and post-values, an analysis is made of the course of digital transformation toward Industry 4.0. According to data collected during the study, "Industry 4.0 Readiness" online self-check application, provided by IMPULS [1] is used to calculate the scorecard and the results show that Eti Aluminium took place at second level (intermediate), out of 5 scale, in overall. That means, Eti Aluminium has implemented the Industry 4.0 activities at intermediate level.