In this paper, a Bragg reflector is proposed by placing periodic metallic gratings in the center of a metal-insulator-metal (MIM) waveguide. According to the effective refractive index modulation caused by different waveguide widths in a period, a reflection channel with a large bandwidth is firstly achieved. Besides, the Mach-Zehnder interference (MZI) effect arises by shifting the gratings away from the waveguide center. Owing to different optical paths with unequal indices on both sides of the grating, a narrow MZI band gap will be obtained. It is interesting to find out that the Bragg reflector and Mach-Zehnder interferometer are immune to each other, and their wavelengths can be manipulated by the period and the grating length, respectively. Additionally, we can obtain three MZI channels and one Bragg reflection channel by integrating three different gratings into a large period. The performances are investigated by finite-difference time-domain (FDTD) simulations. In the index range of 1.33–1.36, the maximum sensitivity for the structure is as high as 1 500 nm/RIU, and it is believed that this proposed structure can find widely applications in the chip-scale optical communication and sensing areas.
The automobile industry is an important pillar of the national economy, and the new energy automobile industry is a strategic emerging industry. This paper carries on the mathematical modeling analysis of the new energy electric vehicle. First of all, using the naive Bayesian processor in natural language processing, make a judgment through theme analysis and emotion analysis, define the coefficient into the model, and finally compare target customers' satisfaction with different brands of cars. Then use DBSCAN and UMAP algorithm to divide the fluctuating data index on the sequence, analyze its linkage by establishing linkage factor to study its correlation degree, and then quantify the problem, establish abnormal coefficient, analyze the persistence of data run out for a single index, and establish an algorithm for evaluating abnormal coefficient. According to the distribution of different data indicators, the impact index of different factors on the sales of different brands of electric vehicles is determined.
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