Abstract: Embodiments of the present application relate to a method and apparatus, for example, for spectrum sharing between network technologies. An example method includes: receiving a first synchronization signal/physical broadcast channel (SS/PBCH) block, where the first SS/PBCH block includes a first part, and the first part includes part or all of a second SS/PBCH block associated with a second radio access technology; and processing the first SS/PBCH block.

Abstract: Various implementations generate geometric representations based on depth information detected in physical environments. For example, an example process may include acquiring sensor data of an object in a physical environment, the sensor data including images of a physical environment captured via a camera on the device. The process may further include generating a three-dimensional (3D) voxel representation of the object based on the images. The process may further include determining signed distance values (SDVs) of voxel corners for voxels of the 3D voxel representation, the SDVs representing distances to surfaces of the object; determining occupancy data for the voxels of the 3D voxel representation, the occupancy data corresponding to whether the voxels are occupied by the object. The process may further include generating a 3D mesh of the object based on the SDVs of the voxel corners and the occupancy data for the 3D voxel representation.

Abstract: This application provides a communication method and a communication apparatus, to improve communication reliability; and can be applied to a communication system. The method includes: A first apparatus receives first indication information from a second apparatus, where the first indication information indicates a first resource and a second resource, the first resource is used by a third apparatus to send first information to the first apparatus, and the second resource is used by the second apparatus to send the first information to the first apparatus. The first apparatus receives the first information sent by the third apparatus on the first resource, and receives the first information sent by the second apparatus on the second resource.

Abstract: Embodiments of the present application provide a method and apparatus for spectrum sharing between network technologies. The method includes: receiving first indication information, where the first indication information indicates a mode among multiple modes, the multiple modes include a first mode, and a first set of configurations associated with the first mode includes part or all of a second set of configurations associated with a second radio access technology; and communicating based on the first indication information.

Abstract: A communication method and a related apparatus are provided. The method includes: A terminal device receives a downlink synchronization signal from an access network device, where the downlink synchronization signal is used for downlink synchronization; and the terminal device sends a wake up signal to the access network device, where the wake up signal indicates assistance information, and the assistance information is used to trigger the access network device to send all or a part of information in system information. Embodiments of this application help reduce network energy consumption.

Abstract: Embodiments of the present application provide a method and apparatus for spectrum sharing between network technologies. The method includes: receiving configuration information, where the configuration information indicates a first sounding reference signals (SRS) resource, the first SRS resource includes a first part, and the first part includes part or all of a second SRS resource associated with a second radio access technology; and mapping an SRS sequence to the first SRS resource. The resource utilization could be improved when multiple terminal devices associated with different generations of technology co-exist.

Abstract: Embodiments of the present application provide a method and apparatus for spectrum sharing between network technologies. The method includes: receiving indication information, in a first state, where the indication information indicates a mode among multiple modes, the multiple modes include a first mode, and a first set of configurations associated with the first mode includes part or all of a second set of configurations associated with a second radio access technology; and transitioning from the first state to the indicated mode. The multiple terminal devices associated with different technologies may co-exist better.

Abstract: Example embodiments of the present disclosure relate to operations associated with an artificial intelligence/machine learning (AI/ML) model. In an example method, a first network device transmits, to a second network device, a first request indicating the second network device to provide a first AI/ML model, and receives the first AI/ML model from the second network device. The first network device then obtains a fine-tuned AI/ML model based on the first AI/ML model.

Abstract: A method of acquiring an image, an apparatus of acquiring an image and a method of detecting a defect are provided, which relate to a field of image acquisition and processing. The method includes: capturing an image of a target object with lighting of a shadowless light source, where the image contains first and second regions of the target object which have different surface heights from each other; calculating N feature values of the image according to a relative positional relationship between the first and second regions; determining a displacement correction value of the shadowless light source according to the N feature values, in response to the N feature values not meeting a predetermined condition; and adjusting a position of the shadowless light source according to the displacement correction value to re-capture the image and re-calculate the N feature values until the N feature values meet the predetermined condition.

Abstract: A motor stator includes a stator core having a stator slot, and a stator winding inserted into the stator slot. Each stator slot includes slot layers. The stator winding includes first and second conductors each including two straight segment parts. The straight segment parts of the first conductors are separately located at two adjacent slot layers. One straight segment part of the second conductor and one straight segment part of the first conductor are located in a same stator slot. A pitch of the first conductor is y1, a pitch of the second conductor is y2, a pole pitch of the stator winding is ?, a distance between straight segment parts of two adjacent first conductors at a same slot layer is L1, a distance between straight segment parts of two adjacent second conductors at a same slot layer is L2, and the followings are met: y1=?, L1=? or L1=y2, and L2=?.

Abstract: A motor stator includes a stator core having stator slots, and a stator winding inserted into the stator slots. Each stator slot includes slot layers. The stator winding includes first and second conductors each including two straight segment parts. The straight segment parts of the first conductors are separately located at two adjacent slot layers. One straight segment part of the second conductor and one straight segment part of the first conductor are located in a same stator slot. A pole pitch of the stator winding is ?, a size of a pitch of the second conductor is y2, a distance between straight segment parts of two adjacent first conductors at a same slot layer is L1, a distance between straight segment ends of adjacent second conductors at a same slot layer is L2, and the followings are met: L1=?+1 or L1=??1, and L2=2??y2.

Abstract: Aspects of the present disclosure provide methods, apparatuses, devices and systems for detecting or identifying a control channel used to transmit scheduling information during initial access, in order to save resources, avoid unnecessary redundant signals, and reduce power consumption. An apparatus may transmit, to a device, information indicative of a group of resources for receiving signaling from the device. The device may transmit to the apparatus, over a control channel, scheduling information for a data transmission between the apparatus and the device. The control channel is one of one or more control channel candidates of which the group of resources is indicative. The apparatus may perform detection on the one or more control channel candidates to identify the control channel.

Abstract: Embodiments of the present application provide a communication method and a communication apparatus. The method includes: obtaining N anchor(s), one of the N anchors comprising one or multiple pieces of reference data, N?1; and sending at least one index of M anchor(s) differing least from first data, M?N and M?1. In this method, a BS or a UE can send the index of the M anchor(s) with the smallest difference from the first data to the receiver, and the receiver indicates the BS or the UE to realize the proactive switching of the model or the mode.

Abstract: The present disclosure discloses a focusing control method, apparatus and system, and a storage medium, which relates to the field of control. The focusing control method includes: controlling a carrier platform carrying a display panel to move in a preset direction at a preset speed; controlling a distance measuring sensor to measure a first distance between the distance measuring sensor and a detection point, wherein the detection point is a point on a surface of the display panel located at a preset distance measuring position; adjusting a distance between an image acquiring device and the detection point based on the first distance in a case where the detection point reaches a preset image acquiring position in a field of view of the image acquiring device; and controlling the image acquiring device to acquire an image of the surface of the display panel.

Abstract: Embodiments of the present application provide a communication method and a communication apparatus. The communication method includes: sending Q group(s) of first data sample(s) corresponding to Q layer(s) of an AI model, where the Q group(s) of the first data sample(s) is from compressed Q group(s) of first raw data sample(s) which is compressed according to Q transformation matrix(es).

Abstract: Restrictions associated with the use of multiple carriers in long-term evolution (LTE) and/or new radio (NR) may impede implementing a flexible personalized spectrum for different user equipments (UEs). Apparatuses, devices, and methods are instead provided in which there is more flexible spectrum utilization, e.g. in which there may be fewer restrictions and more options for configuring carriers and/or bandwidth parts (BWPs) on a UE-specific basis. As one example, there may be a plurality of uplink and/or downlink carriers, with signaling indicating addition, modification, release, activation, deactivation, and/or scheduling of a particular carrier of the uplink carriers and/or downlink carriers, e.g. on an independent carrier-by-carrier basis.

Abstract: A detection method and detection apparatus for a wind driven generator, and a computer-readable storage medium, a computer device and a detection system for executing the method.

Abstract: Embodiments of the present application provide a communication method and a communication apparatus. The communication method includes: obtaining distance(s) between q reference distribution(s) and distribution(s) of q layer(s) of a first AI model in an inference cycle, where the q reference distribution(s) corresponds to the q layer(s), and q is a positive integer; and sending first information according to the distance(s).

Abstract: Embodiments of the present application provide a communication method and a communication apparatus. The communication method includes sending first information according to one or more learning metrics, where the one or more learning metrics are based on distance(s) between distribution(s) of outputs of p latent layer(s) in an AI model and distribution of inputs of the AI model during a training cycle, and/or distance(s) between distribution(s) of outputs of p? latent layer(s) and distribution of outputs of an AI model during a training cycle.