CONCLUSION1D PBG structures composed of layers of dipole elements were presented and the impact of changing the periodicity on the width and the frequency of the bandgap were discussed. Based on that a novel 1D PBG structure composed of layers of dipoles with orthogonal orientation was introduced. This novel type of PBG showed simultaneous polarization and frequency selectivity that can be adjusted independently for the two orthogonal polarizations and can be used for filtering purposes.
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The microcomputer architecture named BZK.SAU.FPGA, which was developed in 2014, was used to increase efficiency in the teaching of the Computer Architecture and Organization course, which is one of the basic courses of the Department of Computer Engineering. In the last version released in 2018, the architecture has been started to be used in many engineering disciplines with its modular structure and a basic operating system. However, this architecture uses fixed-point numbers in arithmetic operations. Although this situation contributes to its use as an educational tool at the beginner level for new learners, the fact that it cannot operate with floating point numbers is one of the biggest shortcomings of the educational tool. Floating point numbers are used extensively in applications such as mathematical analysis, signal processing, image processing, and so on. Therefore, in this study, the FPA unit for the computation of addition, subtraction, multiplication, and division operations is integrated into this architecture. For FPA unit implementation, an assembly-level program has been embedded in the architecture using an IEEE-754 half-precision binary format (FP16) with the aim of presenting the fundamental of the floating-point computation. The FPA unit proposed to observe the behavior of floating point numbers in arithmetic operations and increase awareness of these issues was used as an auxiliary tool in the computer architecture course. A pre-and postsurvey study was conducted to see the learning outcomes of students using this tool on floating point numbers. We found a significant association between pre-and postsurvey, indicating that students' knowledge about the behavior of floating point numbers increased (p < .001).
In this study, accurate and very simple quasi-static analysis models developed with genetic programming (GP) are presented in order to determine the effective dielectric constant and characteristic impedance of dielectric base supported coplanar waveguides. In order to demonstrate the validity and accuracy of the quasi-static analysis models improved by using GP, the results of proposed models in this work were compared with the quasi-static analysis results available in the literature. These comparison results show that there is a good agreement between the results of the proposed quasi-static analysis models and the quasi-static analysis results available in the literature. The design parameter ranges in this study are 2 ≤ εr1 ≤ 10, 10 ≤ εr2 ≤ 20, 20 µm ≤ h ≤ 2000 µm, 0.1 ≤ w/h ≤ 1, 0.1 ≤ s/h ≤ 4 and the characteristic impedance values of dielectric base supported coplanar waveguides corresponding these design parameter values are between 19 Ω ≤ Z0 ≤ 117 Ω. It has been observed that the accuracy of the proposed quasi-static analysis models for dielectric base supported coplanar waveguides proposed in this study is good enough for the practical applications.
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