analysis of dispersion
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2021 ◽  
Vol 7 (12) ◽  
pp. 120075-120088
Author(s):  
Fabio Barros De Sousa ◽  
Simone Cristina da Costa Tavares ◽  
Jorge Everaldo De Oliveira ◽  
Jackson Moreira De Oliveira ◽  
Elizabeth Rego Sabino ◽  
...  

Neste trabalho, investigamos um método de compensação de dispersão para as taxas de transmissão de 10 Gbps e 40 Gbps com formatos de modulação retorno ao zero (return to zero - RZ) e não retorno ao zero (non-return to zero - NRZ) usando fibra monomodo (single mode-fiber - SMF) e fibra compensadora de dispersão (dispersion compensating fiber - DCF). A influência da dispersão do compensador DCF com o aumento da potência do laser CW foi estudada, afim de se avaliar o desempenho dos sistemas de comunicação por fibra óptica aqui propostos. Os resultados da simulação foram validados através do formato do pulso, do espectro óptico e do diagrama de olho para a análise do fator Q e da taxa de erro de bit (bit error rate – BER).


2021 ◽  
Vol 2 (2) ◽  
pp. 1245-1256
Author(s):  
Viviana Bernal-Benítez ◽  
Juan Gómez-Malagón ◽  
Camilo Pardo-Beainy

The following article presents the techniques developed for the treatment of images obtained from the modeling process with AERMOD of data on the immission concentration of PM10 particulate matter. This data conditioning was carried out in order to generate, through the analysis of dispersion images, isolines that identify and quantify the areas of the Sogamoso Valley where PM10 concentrations occur from emissions from the limestone firing process in Nobsa, Boyacá. It is a first approach to the prediction of the dispersion phenomenon and the spatio-temporal determination of the influence that this immission has on the air quality conditions of a region.


Photonics ◽  
2021 ◽  
Vol 8 (4) ◽  
pp. 113
Author(s):  
Elena A. Anashkina ◽  
Alexey V. Andrianov

High nonlinearity and transparency in the 1–5 μm spectral range make tellurite glass fibers highly interesting for the development of nonlinear optical devices. For nonlinear optical fibers, group velocity dispersion that can be controlled by microstructuring is also of great importance. In this work, we present a comprehensive numerical analysis of dispersion and nonlinear properties of microstructured two-, four-, six-, and eight-core tellurite glass fibers for in-phase and out-of-phase supermodes and compare them with the results for one-core fibers in the near- and mid-infrared ranges. Out-of-phase supermodes in tellurite multicore fibers are studied for the first time, to the best of our knowledge. The dispersion curves for in-phase and out-of-phase supermodes are shifted from the dispersion curve for one-core fiber in opposite directions; the effect is stronger for large coupling between the fields in individual cores. The zero dispersion wavelengths of in-phase and out-of-phase supermodes shift to opposite sides with respect to the zero-dispersion wavelength of a one-core fiber. For out-of-phase supermodes, the dispersion can be anomalous even at 1.55 μm, corresponding to the operating wavelength of Er-doped fiber lasers.


Author(s):  
Omar Chamorro-Atalaya ◽  
Diego Goicochea-Vilela ◽  
Dora Arce Santillan ◽  
Martin Diaz-Choque ◽  
Teodoro Diaz-Leyva

<span>The purpose of this article is to describe the automation developed by means of a programmable logic controller for the burner of a fire tube boiler, in order to improve the efficiency in the process of generating steam quantified through the percentage of oxygen generated. The implementation was developed under a control strategy based on the use of servomotors that allow to gradually open or close the solenoid valves that dose the amount of air and fuel; Considering that there are multiple elements, I limited the analysis to one of its main components, called the burner. After developing this automation, it was possible to demonstrate the decrease in the variability of the oxygen percentage in relation to the optimal or desired value in the boiler. The experimentally obtained data of the oxygen percentage, were subjected to a statistical analysis of dispersion, in which the value of the Pearson's correlation coefficient was determined, whose value was equal to 0.298; This result allowed to conclude that the degree of variability of the indicator in analysis with respect to time is very low, which means that the variable maintains a constant value, equal to the desired value, after automating the fire tube boiler</span><span lang="IN">.</span>


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