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Öğe Modeling congestion of vessel on rectangular microstrip antenna and evaluating electromagnetic signals(Institute of Electrical and Electronics Engineers Inc., 2017) Top R.; Gultekin S.S.; Uzer D.According to researches, the most common diseases of unexpected death causes are related to heart. The one of basic reasons of heart diseases is congestion of heart vessel. To detect these failures, various solutions are produced and these solutions are continued. With the proposed study, the congestion of heart vessel related to heart disease is modelled on rectangular microstrip patch antenna and evaluations of electromagnetic field values are tried in situations while there is congestion and not congestion. In modelling, permittivity values of heart vessel and fat tissues are used, by selecting 2.45 GHz as operating frequency and FR-4 as substrate, simulations are realized in High Frequency Structural Simulator(HFSS). From obtained results, it has been shown that the congestion of heart vessel can be detected with electromagnetic data. © 2017 IEEE.Öğe Modelling of physical slot parameters with artificial neural networks for U-slot rectangular microstrip patch antennas(2011) Sinan Gultekin S.S.; Uzer D.In this study, slot length and slot width physical parameters that calculated theoretically before on U-slot rectangular microstrip antennas are calculated with two different 'artificial neural network' models then using experimental slot parameters in the literature. The aim of the first model is presenting an approach for calculation of U-slot physical parameters obtained theoretically, with 'artificial neural networks'. The second model shows that experimental U-slot physical parameters can be calculated by the help of 'artificial neural networks'. The results from the second model are compared with experimental results in the literature and it was seen that they are compatible. © 2011 Academic Journals.
