Purpose: The analysis of the electromagnetic wave transmission having a wave length near infrared propagating in multilayer structures made of materials GaP and CaF2. Analyzed was the influence of periodicity distribution of layers in the material properties and the presence of photonic forbidden gap for selected wavelengths of the electromagnetic wave. Design/methodology/approach: Maps transmission, which was performed by the analysis were obtained using a matrix method. Was investigated wave propagation wavelength range of infrared radiation in periodic binary multilayers and aperiodic Severin and Thue-Morse superlattices. Findings: It has been shown the structure of the transmission band depending on the type of polarization of the multilayer system. Properties of Thue-Morse superlattices were similar to binary superlattices but differed from the behavior of electromagnetic waves in aperiodic Severin superlattices. Research limitations/implications: The simulation was not considered the impact of losses in the material for propagating electromagnetic wave. Practical implications: Multilayer materials, which have photonic band gap, can be used as filters for electromagnetic radiation can improve the performance of night vision or electromagnetic waves multiplexers. Originality/value: Transmission properties of multilayers were examined in visible light but not for infrared light.
Classical models of the oculomotoric system only represent the relationship between neural stimulation and eye movement. If we cannot determine the neural activity, then classical models prove inapplicable. At this paper we outline a system for simulation of the neural activation signal based on simple visual stimulation. We have used the idea of a multilayer brain structure. Different layers of the brain are responsible for subsequent layers of perception. Measurements made with the OBER2 system allowed us to evaluate the relationship between two signals: visual stimulation presented on the screen and eye movement measured by detectors. Applying the proposed multilayer model to generate a signal that will be the input for classical model of the oculomotoric system should make it possible to estimate some parameters that describe the work of muscles. We do not need to measure neural activity, provided that the neural system is working normally.
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