3 research outputs found
Synchronization of generally uncertain Markovian inertial neural networks with random connection weight strengths and image encryption application
This article focuses on the synchronization problem of delayed inertial neural networks (INNs) with generally uncertain Markovian jumping and their applications in image encryption. The random connection weight strengths and generally uncertain Markovian are discussed in the INNs model. Compared with most existing INNs models that have constant connection weight strengths, our model is more practical because connection weight strengths of INNs may randomly vary due to the external and internal environment and human factor. The delay-range-dependent synchronization conditions (DRDSCs) could be obtained by adopting the delay-product-term Lyapunov-Krasovskii functional (DPTLKF) and higher order polynomial-based relaxed inequality (HOPRII). In addition, the desired controllers are obtained by solving a set of linear matrix inequalities. Finally, two examples are shown to demonstrate the effectiveness of the proposed results
Supplementary document for On-chip Ultracompact Multimode Vortex Beam Emitter Based on Vertical Modes - 6054031.pdf
Supplement
Enhancing Photon Throughput of Miniaturized Passive Depth-Detection Cameras via Broadband Dispersion-Engineered Metalenses
With
the continuous advancement of technology, there is a growing
demand for depth-detection cameras with a small footprint and high
photon throughput. Metalenses offer an excellent platform for implementing
single-lens depth-detection cameras. However, the narrow operational
bandwidth of the metalenses used in these miniaturized cameras significantly
limits the photon throughput. Here, we propose a broadband dispersionless
double-helix metalens (DL-DH metalens) to enhance the photon throughput
and mitigate motion blur in miniaturized passive depth-detection cameras.
Through engineering the dispersion, the DL-DH metalens was designed
to achieve an irrotational double-helix point spread function (DH-PSF)
over the broadband wavelength, thus eliminating the depth-detection
error caused by chromatic aberration. The operational bandwidth of
the fabricated metalens was expanded to 200 nm for obtaining higher-photon
throughput, resulting in a 10-fold reduction in the exposure time
compared with that observed for a narrow operational bandwidth of
30 nm. The sharp images could be captured by the DL-DH metalens to
acquire accurate depth information, even in the presence of moving
objects. Our proposed metalens provides a solution for enhancing the
photon throughput in miniaturized passive depth-detection cameras
operated in low-light environments