Yazar "Ayberkin, Doruk" seçeneğine göre listele

Listeleniyor 1 - 3 / 3
  • Küçük Resim Yok
    Öğe
    Application of of Ray Tracing Technique into S-UTD-CH Model
    (Ieee, 2015) Tabakcıoğlu, Mehmet Barış; Ayberkin, Doruk
    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.
  • Küçük Resim Yok
    Öğe
    Building Parameter Analysis with S-UTD-CH model in Multiple Diffraction
    (Ieee, 2015) Tabakcıoğlu, Mehmet Barış; Ayberkin, Doruk
    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.
  • Küçük Resim Yok
    Öğe
    Relations of Attention and Meditation Level with Learning in Engineering Education
    (Ieee, 2017) Ülker, Büşra; Tabakcıoğlu, Mehmet Barış; Cizmeci, Huseyin; Ayberkin, Doruk
    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.