A network device includes a forwarding plane and an artificial intelligence (AI) circuit. The forwarding plane is coupled to the AI circuit. The AI circuit is configured to process data about network packets from the forwarding plane using a first AI algorithm. The forwarding plane may be directly coupled to the AI circuit, and the forwarding plane may further pre-process the network packets to obtain the data about the network packets.

A method and a system for vision-based defect detection are proposed. The method includes the following steps. A test audio signal is outputted to a device-under-test (DUT), and a response signal of the DUT with respect to the test audio signal is received to generate a received audio signal. Signal processing is performed on the received audio signal to generate a spectrogram, and whether the DUT has an unacceptable defect with respect to the predefined auditory standard is determined by analyzing a distribution of signal strength according to the spectrogram.

A method and a system for vision-based defect detection are proposed. The method includes the following steps. A test audio signal is outputted to a device-under-test (DUT), and a response signal of the DUT with respect to the test audio signal is received to generate a received audio signal. Signal processing is performed on the received audio signal to generate a spectrogram, and whether the DUT has an unacceptable defect with respect to the predefined auditory standard is determined by analyzing a distribution of signal strength according to the spectrogram.

A method for monitoring the take-off and/or landing procedure of an aircraft (1), in particular for an electrical, vertical take-off and landing aircraft (1), in which a monitoring region of a take-off and landing site (2) is monitored by at least one microphone (4, 5) of a monitoring station to detect sound emission data of an aircraft (1) taking off or landing as it approaches or departs and the detected sound emission data are transmitted from the monitoring station to an evaluation unit. The detected sound emission data are evaluated by the evaluation unit by comparing the detected sound emission data to characteristic sound emission data.

The photonic integrated device comprises a substrate, a plurality of mechanical resonator structures on a surface of the substrate, exposed to receive sound waves from outside the device; a plurality of sensing optical waveguides, each sensing optical waveguide at least partly mechanically coupled to at least one of the mechanical resonator structures, or a sensing optical waveguide that is at least partly mechanically coupled to all of the mechanical resonator structures; an input optical waveguide on the surface of the substrate, coupled to the plurality of sensing optical waveguides or the single sensing optical waveguide, for supplying light to the plurality of sensing optical waveguides or the single sensing optical waveguide; at least one output optical waveguide on the surface of the substrate, coupled to the plurality of sensing optical waveguides or the single sensing optical waveguide, for collecting light from the plurality of sensing optical waveguides or the single sensing optical waveguide that has been affected by vibration of plurality of mechanical resonator structures.

Disclosed herein is a system that includes an ultrasound imaging probe having a first optical fiber integrated therein and a console optically coupled with the ultrasound imaging probe via a first elongate member. The console includes one or more processors and a non-transitory computer-readable medium having stored thereon logic, that when executed by the one or more processors, causes operations that can include providing an incident light signal to the first optical fiber via the first elongate member, receiving reflected light signals of different spectral widths of the incident light from the first optical fiber and the second optical fiber, processing the reflected light signals to determine a first three-dimensional (3D) shape extending along a length including at least portions of the first optical fiber and the second optical fiber, and causing rendering of an image of the first 3D shape on a display of the medical system.

Systems and methods for detecting a mechanical disturbance are disclosed. One of the method may comprise the operation steps including: transmitting, by a transmitter, a pulse at a preset frequency along a first cable; receiving, by a receiver, a plurality of signals, wherein each of the plurality of signals travels along the first cable and a second cable connected to the receiver for a corresponding span; calculating one or more differential phases, wherein each differential phase is calculated based on respective phases and the corresponding spans of two of the plurality of signals; and determining a localization of the mechanical disturbance based on the one or more differential phases.

A monitoring system according to the present disclosure includes: an optical fiber (10) configured to sense a peripheral environmental state, a monitor's terminal (40), a receiving unit (20) configured to receive an optical signal containing information indicating the environmental state from the optical fiber (10), a detecting unit (32) configured to detect at least one of an accident and an incident, based on the information indicating the environmental state, being included in the optical signal, and a broadcasting unit (33) configured to broadcast that the accident or the incident has occurred to the monitor's terminal (40) when the detecting unit (32) determines that the accident or the incident has occurred.

Aspects of the present disclosure describe distributed fiber optic sensing (DFOS)/distributed acoustic sensing (DAS) systems, methods, and structures exhibiting a sensitivity enhancement via MIMO sampling and phase recombination.

A method for estimating structural vibration in real time includes steps described below. A to-be-estimated measuring point of a to-be-measured structure is acquired, and at least one target measuring point associated with the to-be-estimated measuring point is determined; coordinates corresponding to each target measuring point of the at least one target measuring point, a target mode corresponding to the each target measuring point and a target vibration parameter corresponding to the each target measuring point are determined; a mode vibration parameter of the to-be-estimated measuring point and an interpolation vibration parameter of the to-be-estimated measuring point are determined based on the to-be-estimated measuring point and in combination with the target mode, the target vibration parameter and the coordinates of the each target measuring point; and an estimated vibration parameter of the to-be-estimated measuring point is determined according to the mode vibration parameter and the interpolation vibration parameter.