Abstract:
A method and an apparatus for identifying a UE in an SAE network, and an MME are provided herein. The method includes: receiving an SAE-TMSI which is allocated to a UE that accesses an SAE network and includes at least: a pool-ID, an MME-ID, and a UE temporary identifier; using the SAE-TMSI to temporarily identify the UE in the SAE network. The apparatus includes: a receiving unit and a temporary identifying unit. The MME includes a temporary identifier allocating unit. Moreover, a method for transmitting and allocating a temporary identifier, and a method for receiving and transmitting information according to the temporary identifier are disclosed herein.
Abstract:
Monitoring an operational characteristic of a data communication device within a network includes sampling an operational characteristic of the data communication device at a fine-grain sample rate over a first sampling interval to produce fine-grain samples of the operational characteristic of the data communication device, training a machine learning algorithm using the fine-grain samples of the operational characteristic of the data communication device, the fine-grain sample rate, and a coarse-grain sample rate that is less than the fine-grain sample rate, sampling the operational characteristic of the data communication device at the coarse-grain sample rate over a second sampling interval to produce coarse-grain samples of the operational characteristic of the data communication device, and using the machine learning algorithm to process the coarse-grain samples of the operational characteristic of the data communication device to produce accuracy-enhanced samples of the operational characteristic of the data communication device.
Abstract:
A screen interaction method and apparatus for an electronic device are disclosed, to determine a target user from a plurality of users and control a picture displayed on a screen of the electronic device based on an action of the target user. The method includes: obtaining, by using a camera, an image including the plurality of users in front of a screen, recognizing respective actions of the plurality of users in the image based on the image including the plurality of users, comparing the actions of the plurality of users with a preset action, determining a user who performs an action matching the preset action as the target user, and controlling a picture displayed on the screen of the electronic device based on the action of the target user.
Abstract:
An image processing method is provided, including: obtaining M images acquired by M cameras arranged around a target region; and based on a region in which a target subject is located in the M images, determining one primary camera from the M cameras, and determining N secondary cameras from the M cameras based on a first primary camera, where images acquired by the one primary camera and the N secondary cameras are used to generate a free-viewpoint video, and a region in which the target subject is located in the free-viewpoint video is related to a region in which the target subject is in an image acquired at a primary camera position. The primary camera and the secondary cameras are selected based on the region in which the target subject is located in each of the images acquired by the M cameras.
Abstract:
Monitoring an operational characteristic of a data communication device within a network includes sampling an operational characteristic of the data communication device at a fine-grain sample rate over a first sampling interval to produce fine-grain samples of the operational characteristic of the data communication device, training a machine learning algorithm using the fine-grain samples of the operational characteristic of the data communication device, the fine-grain sample rate, and a coarse-grain sample rate that is less than the fine-grain sample rate, sampling the operational characteristic of the data communication device at the coarse-grain sample rate over a second sampling interval to produce coarse-grain samples of the operational characteristic of the data communication device, and using the machine learning algorithm to process the coarse-grain samples of the operational characteristic of the data communication device to produce accuracy-enhanced samples of the operational characteristic of the data communication device.
Abstract:
The present disclosure provides a terminal assembly and an electrical connector. The terminal assembly comprises a plurality of terminals and an insulating body. The plurality of terminals comprises a plurality of signal terminals and a plurality of ground terminals. The plurality of signal terminals and the plurality of ground terminals are disposed at intervals. The plurality of signal terminals are disposed between two adjacent ground terminals. The plurality of signal terminals of two adjacent ground terminals form a signal pair. The distance between a centerline of each of the signal terminals and a centerline of an adjacent ground terminal is greater than the distance between the centerline of each of the signal terminals and a centerline of an adjacent signal terminal. The insulating body is disposed at the plurality of terminals.
Abstract:
An electrical connector connected with a cable connector. The cable connector comprises a plurality of ground terminals, a plurality of signal terminals, and an electromagnetic shielding member. The electrical connector comprises a circuit board, a plurality of ground conductive pads, a plurality of signal conductive pads, and a shielding ground conductive pad. The circuit board comprises an electrical connecting area. The plurality of ground conductive pads are disposed on a surface of the electrical connecting area of the circuit board at intervals. The plurality of signal conductive pads are disposed on the surface of the electrical connecting area of the circuit board at intervals. At least one signal conductive pad is disposed between two adjacent ground conductive pads. The shielding ground conductive pad is disposed on the surface of the electrical connecting area of the circuit board and is disposed on one side of the plurality of ground conductive pads.
Abstract:
A terminal assembly and an electrical connector. The terminal assembly comprises a plurality of terminals, an insulating body, a first electromagnetic shielding member, and a second electromagnetic shielding member. The plurality of terminals comprises a plurality of signal terminals and a plurality of ground terminals. The signal terminals and the ground terminals are disposed at intervals. At least one signal terminal is disposed between two adjacent ground terminals. The insulating body is disposed at the plurality of terminals. One end of each terminal protrudes from one side of the insulating body, while the other end is exposed from the insulating body. The first electromagnetic shielding member is disposed at one side of the insulating body and is connected with the plurality of ground terminals. The second electromagnetic shielding member is disposed at the other side of the insulating body and is opposite to the first electromagnetic shielding member.
Abstract:
The present disclosure relates to controlling queue release in a network. In particular, the disclosure proposes a controller configured to obtain a state of each of a plurality of queues of a network node and determine, based on the states of the queues, whether the utilization of one or more queues exceeds one or more thresholds. If one or more thresholds are exceeded, the controller is configured to generate one or more new priority entries for one or more queues of the plurality of queues and provide the one or more new priority entries to the one or more queues of the network node. Further, the disclosure proposes a network node being configured to provide a state of each of a plurality of queues to a controller, and obtain one or more new priority entries for one or more queues of the plurality of queues from the controller.
Abstract:
A camera module is provided. The camera module may be separately used as a camera, or may be applied to a terminal device such as a mobile phone or a tablet computer, or a vehicle-mounted device. The camera module includes an optical lens component, a light filtering layer, an image sensor and a drive module. The optical lens component is configured to receive a light beam from a photographed object, and transmit the light beam to the light filtering layer. The light filtering layer is configured to move a position under the drive of the drive module, and respectively transmit light signals filtered at different positions to the image sensor. The image sensor is configured to receive the light signals at the different positions from the light filtering layer, and determine image information based on the light signals at the different positions.