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Semi-Automatic Analysis of Gyrotropic Semiconductor Waveguides Using Neural Network

100%
Plonis D., Malisauskas V., Serackis A.
Acta Physica Polonica A
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2011
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vol. 119
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issue 4
542-547
EN
This paper focuses on the analysis technique of gyrotropic circular cylindrical semiconductor waveguide by the use of an electrodynamical model. Authors propose the semi-automatic extraction of the dispersion characteristics by the use of single-layer perceptron neural network. The waveguide analysis algorithm consists of four main stages: initialization of system parameters, evaluation of transcendental linear dispersion equation system, extraction of dispersion characteristics and evaluation of the waveguide broad bandwidth. In this paper three types of waveguides (n-InP, n-InSb and p-InP) are analysed using a proposed algorithm. According to the results of analysis, the use of gyrotropic n-InP and p-InP semiconductor, semiconductor-dielectric waveguides are more preferred than to n-InSb waveguides due to their wider broad bandwidth.
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Investigation of New Algorithms for Estimation of Losses in Microwave Devices Based on a Waveguide or a Meander Line

88%
Plonis D., Katkevičius A., Mališauskas V., Serackis A., Matuzevičius D.
Acta Physica Polonica A
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2016
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vol. 129
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issue 3
414-424
EN
The aim of this paper was to introduce the estimation of the losses in the prototypes of the microwave devices. We proposed in this paper two algorithms: an algorithm for evaluation of losses in the microwave devices based on a waveguide and an algorithm for evaluation of losses in the microwave devices based on a meander line. In order to verify the results of losses evaluation for the waveguide-based device, we have used the electrodynamic model of the open cylindrical gyrotropic waveguide with one anisotropic dielectric layer and the electrodynamic model of the open cylindrical gyrotropic waveguide with two dielectric layers. In order to verify the results of losses evaluation for the meander line-based device, we have used the model of the meander line with asymmetrical periodical inhomogeneity. The comparison of the losses evaluation results received by the algorithms proposed in this paper and the results received by application of the commercial software together with the alternative methods confirmed that the proposed algorithms produced correct results.
3
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Delay Systems Synthesis using Multi-Layer Perceptron Network

76%
Plonis D., Katkevičius A., Urbanavičius V., Miniotas D., Serackis A., Gurskas A.
Acta Physica Polonica A
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2018
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vol. 133
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issue 5
1281-1286
EN
The aim of this paper is to accelerate development and investigation of the delay systems. The computational time for investigation of particular design of delay system may take from several minutes up to several days. To achieve the required constructional parameters of the system, the iterative calculations usually should be repeated many times. In this paper, an artificial neural network is proposed to be used as the universal approximator for solving mathematical problems of delay system investigation instead of usual analytical and numerical techniques. The application of a multi-layer perceptron is proposed for approximation of solution space with discrete estimates, which were initially received by application of numerical techniques. Different structures of the multi-layer perceptron were tested for approximation. The difference between delay systems synthesis, which was estimated using numerical techniques and trained multi-layer perceptron did not exceed 5% for any of the six design parameter values. The execution time for estimating single delay system was reduced from 240 s to 20 ms. Such fast estimation of design parameters enables performing delay system analysis and design in real time, preserving time for structure visualization in 3D or virtual reality environment.
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