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Öğe Application of of ray tracing technique into S-UTD-CH model(Institute of Electrical and Electronics Engineers Inc., 2015) Tabakcioglu M.B.; Ayberkin D.To make higher accuracy predictions having less computation complexity, lower computation time, a lot of electromagnetic wave propagation models are developed. These models are classified into two classes, ray tracing based and numerical models. Computation complexity, computation time and accuracy of prediction of numerical model are high. On the contrary, computation complexity and computation time of ray tracing based model is lower. There is a tradeoff between computation time and accuracy. To predict the relative path loss at the receiver accurately, all ray paths have to be determined. In this study, after giving some brief information about some ray tracing based propagation models ray tracing software will be explained. © 2015 IEEE.Öğe Application of S-UTD-CH model into multiple diffraction scenarios at 900MHz(Electromagnetics Academy, 2014) Tabakcioglu M.B.; Ayberkin D.In this study, propagation prediction models based on ray tracing in coverage estimation for broadcasting systems are compared with respect to computation time and accuracy. Uniform Theory of Diffraction (UTD), Slope Diffraction (S-UTD) and Slope UTD with Convex Hull (S-UTD-CH) models are compared for computation time and propagation path loss. Moreover in this study, effects of transmitter height to relative path loss at the receiver are analyzed. S-UTD-CH model is optimum model with respect to computation time and relative path loss.Öğe Building parameter analysis with S-UTD-CH model in multiple diffraction(Institute of Electrical and Electronics Engineers Inc., 2015) Tabakcio?lu M.B.; Ayberkin D.Electromagnetic wave propagation models are used in radio planning tool and coverage prediction. These models are based on ray tracing technique or numerical. Slope UTD with convex hull model is a model which has less computation time, higher accuracy of prediction and based on ray tracing technique. S-UTD-CH model is used in multiple diffraction due to that this model gives more accurate results in less computation time. Obstacles can be modelled as knife edge, wedge or cylinder in ultra-high frequencies. Inner angle, structure type and relative permittivity constant and conductivity of obstacle and polarization type of electromagnetic wave change the relative path loss at the receiver. In the study, how building parameter changes the relative path loss is discussed. © 2015 IEEE.Öğe Comparison and analyzing of propagation models with respect to material, environmental and wave properties(Applied Computational Electromagnetics Society (ACES), 2014) Tabakcioglu M.B.; Ayberkin D.; Cansiz A.This paper presents a study on a class of algorithms based on Uniform Theory of Diffraction (UTD) for multiple diffractions. Within this context Slope UTD with Convex Hull (S-UTD-CH) model based on Slope UTD and Fresnel zone concept was reviewed. S-UTD-CH model can be used for fast and more accurate field prediction for multiple diffractions in transition zone. An extensive simulation results for comparison of UTD based algorithms with respect to the computation time and accuracy was provided. Furthermore, the study shows how relative permittivity constant, conductivity and inner angle of wedge and polarization type affect the relative path loss. © 2014 ACESÖğe Relations of attention and meditation level with learning in engineering education(Institute of Electrical and Electronics Engineers Inc., 2017) Ülker B.; Tabakcio?lu M.B.; Çizmeci H.; Ayberkin D.Neurons use electricity in order to communicate to each other. Due to numerous signals sent by neurons, there are oodles of electrical activity in the brain. Sensitive equipment like electroencephalogram (EEG) biosensor perceives the brainwaves emanated from neurons. Beta waves are responsible for problem solving or decision making and associated with attention. Alpha waves are associated with now and meditation. Neurosky EEG biosensor perceives the brainwaves and transforms these brainwaves into attention and meditation values. In this study, Neurosky EEG biosensor is used for measuring the attention and meditation levels of students. A program is developed in C# medium. The developed program records raw brainwave data, attention and meditation average while the students are studying. As the attention and meditation levels are high, the students learn the subjects in the course. If predetermined meditation and attention level are not caught, the developed program does not give permission to pass to another subject. Because of that the students have less meditation and attention average than the predetermined value; they get fewer grades in the exam. © 2017 IEEE.
