Abstract:
Embodiments of the present application provide an acceleration management node. The acceleration management node separately receives acceleration device information of all acceleration devices. The acceleration device information includes an acceleration type and an algorithm type. The acceleration management node obtains an invocation request from a client. The invocation request is used to invoke an acceleration device to accelerate a service of the client, and the invocation request includes a target acceleration type and a target algorithm type. The acceleration management node queries the acceleration device information to determine, from all the acceleration devices of the at least one acceleration node, a target acceleration device matching the invocation request. The acceleration management node further instructs a target acceleration node to respond to the invocation request.
Abstract:
A method and apparatus for determining a mobility state of a terminal is disclosed in embodiments of this invention, which relates to the technical field of wireless communication and is capable of accurately estimating a mobility state of a terminal in a complex network structure, configuring more appropriate network parameters for the terminal, optimizing mobility performance of the terminal and improving overall network performance. A method for determining a mobility state of a terminal is provided in an embodiment of this invention, including: calculating a total moving distance of a terminal in a predetermined period by using a distance estimation strategy; and determining a mobility state of the terminal according to the total moving distance. This invention is applicable to estimation of the terminal's mobility state in a homogeneous network and a heterogeneous network.
Abstract:
Embodiments of the present disclosure relate to a communications apparatus and a wireless communications device. The communications apparatus includes M communications sublinks including M sub antenna arrays divided into at least two rows. Two adjacent sub antenna arrays are arranged in an interleaved manner, or the M sub antenna arrays are arranged on a straight line, and the two adjacent sub antenna arrays share n elements.
Abstract:
Embodiments of the present application provide an acceleration management node. The acceleration management node separately receives acceleration device information of all acceleration devices. The acceleration device information includes an acceleration type and an algorithm type. The acceleration management node obtains an invocation request from a client. The invocation request is used to invoke an acceleration device to accelerate a service of the client, and the invocation request includes a target acceleration type and a target algorithm type. The acceleration management node queries the acceleration device information to determine, from all the acceleration devices of the at least one acceleration node, a target acceleration device matching the invocation request. The acceleration management node further instructs a target acceleration node to respond to the invocation request.
Abstract:
This application provides an image recognition method and device. The image recognition method includes: setting a presentation time sequence corresponding to an image sequence includes N images, the presentation time sequence includes unequal presentation times, a difference between any two presentation times of the unequal presentation times is k×Δ, k is a positive integer, and Δ is a preset time period value; processing the image sequence by using a computer vision algorithm, to obtain a computer vision signal corresponding to each image in the image sequence; obtaining a feedback signal that is corresponding to each image in the image sequence generated when an observation object watches the image sequence displayed in the presentation time sequence; and fusing, for each image in the image sequence, a corresponding computer vision signal and a corresponding feedback signal to obtain a target recognition signal of each image in the image sequence.
Abstract:
Embodiments of the present application provide an acceleration management node. The acceleration management node separately receives acceleration device information of all acceleration devices. The acceleration device information includes an acceleration type and an algorithm type. The acceleration management node obtains an invocation request from a client. The invocation request is used to invoke an acceleration device to accelerate a service of the client, and the invocation request includes a target acceleration type and a target algorithm type. The acceleration management node queries the acceleration device information to determine, from all the acceleration devices of the at least one acceleration node, a target acceleration device matching the invocation request. The acceleration management node further instructs a target acceleration node to respond to the invocation request.
Abstract:
A method and apparatus for determining a mobility state of a terminal is disclosed in embodiments of this invention, which relates to the technical field of wireless communication and is capable of accurately estimating a mobility state of a terminal in a complex network structure, configuring more appropriate network parameters for the terminal, optimizing mobility performance of the terminal and improving overall network performance. A method for determining a mobility state of a terminal is provided in an embodiment of this invention, including: calculating a total moving distance of a terminal in a predetermined period by using a distance estimation strategy; and determining a mobility state of the terminal according to the total moving distance. This invention is applicable to estimation of the terminal's mobility state in a homogeneous network and a heterogeneous network.
Abstract:
Embodiments of the present application provide an acceleration management node. The acceleration management node separately receives acceleration device information of all acceleration devices. The acceleration device information includes an algorithm type, an acceleration bandwidth or non-uniform memory access architecture (NUMA). The acceleration management node obtains an invocation request from a client. The acceleration management node queries the acceleration device information to determine, from all the acceleration devices of the at least one acceleration node, a target acceleration device matching the invocation request. The acceleration management node further instructs a target acceleration node to respond to the invocation request.