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    Assessing the Spreading Behavior of the Covid-19 Epidemic: A Case Study of Turkey
    (Institute of Electrical and Electronics Engineers Inc., 2022) Demir, E.; Canitez, M.N.; Elazab, M.; Hameed, A.A.; Jamil, A.; Al-Dulaimi, A.A.
    Coronavirus (Covid-19) disease is a rapidly spreading type of virus that was discovered in Wuhan, China, and emerged towards the end of 2019. During this period, various studies were conducted, and intensive studies are continued in different fields regarding coronavirus, especially in the field of medicine. The virus continues to spread and is yet to be controlled fully. Machine learning is a well-explored field in the domain of computer science that can learn patterns based on existing data and make predictions on new data. This study focused on using various machine learning approaches for predicting the spreading behavior of the COVID-19 virus. The models that were considered include SARIMAX, Extreme Gradient Boosting (XGBoost), Linear Regression (LR), Decision Tree (DT), Gradient Boosting (GB), and Artificial Neural Network (ANN). The models were trained and then predictions were made by applying these models to the daily updated data provided by the Turkish Ministry of Health. Experiments on the test data showed that both XGBoost and Decision Tree models outperformed other models. © 2022 IEEE.
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    CAD-based design, analysis and experimental verification of an out-runner permanent magnet synchronous generator for small scale wind turbines
    (2012) Uygun, D.; Ocak, C.; Cetinceviz, Y.; Demir, E.; Gungor, Y.
    This paper presents the CAD-based design procedure, analysis and experimental verification of a 1 kW out-runner permanent magnet synchronous generator (PMSG) with radial magnetic flux for small-scale wind turbine systems. Firstly, the CAD and mechanical model used in the design procedure of the PMSG are presented. The generator is designed via developed CAD-procedure and design interface in which the basic parameters of the generators are calculated respectively. And then the effectiveness of the interface is supported by applying a coupled transient electromagnetic procedure using finite element method and the design and simulation principles presented apply primarily to the prototype model. Furthermore, the test results of the prototype permanent-magnet generator are analyzed and compared with the calculated data and characteristics. The purposed model is particularly well suited for low-speed wind turbine systems with low-starting torque. © 2012 IEEE.
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    Performance aspects and verifications of in-runner and out-runner permanent magnet synchronous generator designs of the same magnet structure for low speed wind systems
    (2012) Ocak, C.; Uygun, D.; Cetinceviz, Y.; Demir, E.; Gungor, Y.
    This study is carried out to realize the design procedure, analysis and performance verification of in-runner and out-runner permanent magnet synchronous generators (PMSG) with radial magnetic flux for low speed wind turbine systems. Primarily, the mechanical models used in the design procedure of the PMSG are presented. The basic parameters of the generators are calculated respectively and the generators are designed. And then, a coupled transient electromagnetic procedure using finite element method and the design and simulation principles are applied primarily to the prototype models. The derived simulation data from both models are compared and the results are discussed. For all investigated power scales, it is possible to get higher output power and torque by applying the internal rotor configuration for the same permanent magnet (PM) geometry and characteristic. Besides, the external rotor PM configuration is superior to the internal rotor PM configuration and has lower total weight and cost as well. © 2012 IEEE.