Abstract: An optical phased array lidar includes: a laser, for emitting a laser signal; an optical beam splitter, for splitting a laser signal into multiple sub-signals, and distributing them to corresponding optical paths; a phase controller connected to the optical beam splitter, for regulating phases of the multiple sub-signals; an optical antenna array based on a one-dimensional grating structure, connected to the phase controller and for uniformly scattering the phase-regulated sub-signals into free space; and a silicon nitride waveguide array, for transmitting the sub-signals and phase-regulated sub-signals to realize the transmission of near-infrared light and visible light. The optical phased array lidar uses a silicon nitride waveguide array for transmission, thereby realizing the transmission of near-infrared light and visible light. In this way, the lidar can work in the visible light band, thereby broadening the working ranging thereof.

Abstract: An on-chip adaptive optical receiver system, an optical chip, and a communication device are disclosed, which are applied to optical communication. The on-chip adaptive optical receiver system includes an antenna array configured for separating received spatial light to obtain a plurality of sub-light spots; an optical phased array configured for performing phase-shifting processing and beam combining processing on the sub-light spots to obtain combined light; and an optical receiving module configured for demultiplexing the combined light to obtain beacon light. The optical receiving module is further configured for detecting intensity information of the beacon light and generating a feedback signal according to the intensity information.

Abstract: An on-chip wavefront sensor, an optical chip, and a communication device are disclosed. The on-chip wavefront sensor includes an antenna array configured for separating received spatial light to obtain a plurality of sub-light spots; a reference light source module configured for generating a plurality of intrinsic light beams; a phase shifter array configured for performing phase shifting processing on the intrinsic light beams to obtain reference light; and an optical detection module configured for performing coherent balanced detection according to the reference light and the sub-light spots to obtain a photocurrent corresponding to each of the sub-light spots.

Abstract: An on-chip adaptive optical receiver system, an optical chip, and a communication device are disclosed, which are applied to optical communication. The on-chip adaptive optical receiver system includes an antenna array configured for separating received spatial light to obtain a plurality of sub-light spots; an optical phased array configured for performing phase-shifting processing and beam combining processing on the sub-light spots to obtain combined light; and an optical receiving module configured for demultiplexing the combined light to obtain beacon light. The optical receiving module is further configured for detecting intensity information of the beacon light and generating a feedback signal according to the intensity information.

Abstract: An on-chip wavefront sensor, an optical chip, and a communication device are disclosed. The on-chip wavefront sensor includes an antenna array configured for separating received spatial light to obtain a plurality of sub-light spots; a reference light source module configured for generating a plurality of intrinsic light beams; a phase shifter array configured for performing phase shifting processing on the intrinsic light beams to obtain reference light; and an optical detection module configured for performing coherent balanced detection according to the reference light and the sub-light spots to obtain a photocurrent corresponding to each of the sub-light spots.

Abstract: Disclosed is an optical window cleaning device, including: a cleaning brush; and a wiper arm. The wiper arm includes a first link, a torsion mechanism, a second link and a wiper arm drive system. A second end of the first link is hinged to a first end of the second link. The cleaning brush is hinged to a first end of the first link, a rotation trajectory of the cleaning brush and a rotation trajectory of a hinge joint between the second end of the first link and the first end of the second link are both located in a first plane. A rotation trajectory of the second link and the rotation trajectory of the hinge joint are located in the first plane. The torsion mechanism provides the first link and the second link with a force that rotates the first link relative to the second link.

Abstract: Disclosed is an optical window cleaning device, including: a cleaning brush; and a wiper arm. The wiper arm includes a first link, a torsion mechanism, a second link and a wiper arm drive system. A second end of the first link is hinged to a first end of the second link. The cleaning brush is hinged to a first end of the first link, a rotation trajectory of the cleaning brush and a rotation trajectory of a hinge joint between the second end of the first link and the first end of the second link are both located in a first plane. A rotation trajectory of the second link and the rotation trajectory of the hinge joint are located in the first plane. The torsion mechanism provides the first link and the second link with a force that rotates the first link relative to the second link.

Abstract: An optical phased array lidar includes: a laser, for emitting a laser signal; an optical beam splitter, for splitting a laser signal into multiple sub-signals, and distributing them to corresponding optical paths; a phase controller connected to the optical beam splitter, for regulating phases of the multiple sub-signals; an optical antenna array based on a one-dimensional grating structure, connected to the phase controller and for uniformly scattering the phase-regulated sub-signals into free space; and a silicon nitride waveguide array, for transmitting the sub-signals and phase-regulated sub-signals to realize the transmission of near-infrared light and visible light. The optical phased array lidar uses a silicon nitride waveguide array for transmission, thereby realizing the transmission of near-infrared light and visible light. In this way, the lidar can work in the visible light band, thereby broadening the working ranging thereof.

Abstract: A multi-depth-interval refocusing method, apparatus and electronic device are provided. The method includes displaying an image on a display device; acquiring user input, and determining, in the displayed image according to the user input, a refocus area including at least two discontinuous depth intervals, where each depth interval in the at least two discontinuous depth intervals is constituted by at least one depth plane, each depth plane contains at least one focus pixel, and depths of object points corresponding to focus pixels contained on a same depth plane are the same; performing refocusing processing on an image within the refocus area to display a refocused image on the display device, where the refocused image has a visually distinguishable definition difference relative to an area, except the refocus area, in the displayed image; and displaying the refocused image on the display device. Therefore, multi-depth-interval refocusing is implemented.

Abstract: A multi-depth-interval refocusing method, apparatus and electronic device are provided. The method includes displaying an image on a display device; acquiring user input, and determining, in the displayed image according to the user input, a refocus area including at least two discontinuous depth intervals, where each depth interval in the at least two discontinuous depth intervals is constituted by at least one depth plane, each depth plane contains at least one focus pixel, and depths of object points corresponding to focus pixels contained on a same depth plane are the same; performing refocusing processing on an image within the refocus area to display a refocused image on the display device, where the refocused image has a visually distinguishable definition difference relative to an area, except the refocus area, in the displayed image; and displaying the refocused image on the display device. Therefore, multi-depth-interval refocusing is implemented.

Abstract: A method for identifying a bridge node in a network using a processor and memory unit in a specially programmed special purpose-purpose computer including the steps of, for each node in a plurality of nodes in the network: determining a global metric proportional to total traffic flow in the network and through the node; determining a local metric proportional to traffic flow between the node and each second node in the network connected to the node and traffic flow between each second node and each third node in the network connected to a second node; determining a second local metric proportional to the respective traffic flows between each node and each second node; and calculating a respective combination of the global metric and the first and second local metrics; and selecting, a bridge node from among the plurality of nodes based on the respective combinations.

Abstract: A method for identifying a bridge node in a network using a processor and memory unit in a specially programmed special purpose-purpose computer including the steps of, for each node in a plurality of nodes in the network: determining a global metric proportional to total traffic flow in the network and through the node; determining a local metric proportional to traffic flow between the node and each second node in the network connected to the node and traffic flow between each second node and each third node in the network connected to a second node; determining a second local metric proportional to the respective traffic flows between each node and each second node; and calculating a respective combination of the global metric and the first and second local metrics; and selecting, a bridge node from among the plurality of nodes based on the respective combinations.

Abstract: The method termed WaveCluster for mining spatial data. WaveCluster considers spatial data as a multidimensional signals and applies wavelet transforms, a signal-processing technique, to convert the spatial data into the frequency domain. The wavelet transforms produce a transformed space where natural clusters in the data become more distinguishable. The method quantizes a feature space to determine cells of the feature space, assigns objects to the cells, applies a wavelet transform on the quantized feature space to obtain a transformed feature space, finds connected clusters in sub bands at different levels of the transformed feature space, assigns labels to the cells, creates a look-up table, and maps the objects to the clusters. The method can manage spatial data in a two-dimensional feature space. The method also is applicable to a feature space that is made up of an image taken by a satellite.