Microring stereo sensor model using Kerr–Vernier effect for bio-cell sensor and communication

Abstract

In this paper, a micro-stereo sensor is proposed using two-identical Panda-ring resonators, which are coupled by jointed drop ports. When light from the identical coherent sources is fed into the system via the input ports, the coupling outputs are obtained at the drop port at the resonant condition. These are mixed signals in the form of stereo signals. By using different input power between the right and left systems, the phase difference generated by the Kerr-Effect in the non-linear medium leads to the shift in the coupling outputs. The shift in the center wavelength is the primary measurement of interest along with coupling crosstalk signals that are also visible at the output. The measurement self-calibration of the two channels is confirmed by the mixed channel signals. In the manipulation, the crosstalk signals can be used to interpret the crosscommunication of bio-cells. The crosstalk results have shown the optical crosstalks of ~2.0 and ~2.5 dB are calculated and obtained, respectively. The stereo sensor sensitivity of ~5.70 nmW -1 is noted.

Integrating Metamaterial Antenna Node and LiFi for Privacy Preserving Intelligent COVID-19 Hospital Patient Management

“…A moving robot (vehicle) in a hospital can be applied and controlled by the integrated sensors, which can connect with force sensors and the LiFi network for COVID-19 surveillance. The big data capacity network can accommodate all input information such as machine learning, artificial intelligence, and braininspired computing, which can be implemented within the robot brain [12,13,16,30,31,[39][40][41][42][43][44][45][46][47].…”

“…Moreover, the contribution to the cognitive computation work can be configured as follows. The deep learning based on quantum consciousness can be performed by using the electron spin processing circuit embedded in the robot [45]. The quantum cellular automata processing can be retrieved and used.…”

“…The quantum cellular automata processing can be retrieved and used. The 3D visual imaging using a microring embedded circuit and machine learning can be implemented in the robot brain [13,39,41,45], which can be applied in the surveillance data. The daily detection of e-health within the hospital area can be monitored and useful for decision making [13,50].…”