Abstract: The disclosure relates to an activity recognition method of a large receptive field (LRF) large-kernel attention convolution network based on a large receptive field, the method includes the following steps: collecting an action signal, carrying out a preprocessing and a data partition on the action signal to obtain a data set; and training an LRF large-kernel attention convolution network model based on the data set, and introducing a trained LRF large-kernel attention convolution network model into a mobile wearable recognition device for human posture recognition.

Abstract: The present disclosure provides an image processing method, an apparatus, a computing device, and a medium, which relates to deep learning technology. In the present disclosure, after acquiring the to-be-processed target image, the first similarities between the target image and the first images of categories are determined based on the first feature vector corresponding to the target image and the second feature vectors respectively corresponding to the plurality of first images. Moreover, based on the first color distribution information of the target region in the target image and the second color distribution information of the target regions in the plurality of first images, the second similarities between the target image and the plurality first images are determined, so that the image category to which the target image belongs can be determined jointly based on the first similarities and the second similarities.

Abstract: A parameterization method for point cloud data, and a device includes performing semantic segmentation on a plurality of three-dimensional data points of point cloud data in a spatial coordinate system to obtain at least one semantic object, the at least one semantic object corresponds to a plurality of three-dimensional semantic data points. The parameterization method for point cloud data further includes performing parametric fitting on the plurality of three-dimensional semantic data points to obtain spatial geometric parameters of the at least one semantic object corresponding to the plurality of three-dimensional semantic data points in the spatial coordinate system. In addition, a map construction method is further provided. By adopting the above technical solution, the automation of constructing a semantic map based on the point cloud data can be achieved.

Abstract: Embodiments of the present invention disclose a map construction method, apparatus, and storage medium. The method includes the following steps: acquiring sensor data collected by a preset sensor; establishing a pose constraint relationship of a movable object and a semantic constraint relationship of a semantic object according to the sensor data; performing a joint optimization solution according to the pose constraint relationship and the semantic constraint relationship to determine a semantic result of the semantic object and a pose result of the movable object; and constructing a semantic map and a point cloud map according to the semantic result and the pose result. By adopting the above technical solution, the semantic map and the point cloud map can be obtained quickly and accurately, thereby obtaining a more accurate high-definition map.

Abstract: The present application is applicable to the technical field of communication, and provides a session initiation protocol (SIP) information analysis method and device, a server, and a medium. The method includes adding a header field identifier to each of SIP messages; performing packet capture on each of the SIP messages to respectively obtain a first SIP message and a second SIP message when each of the SIP messages passes through an external network switch and an internal network switch; performing matching identification on each of the first SIP messages and each of the second SIP messages according to the header field identifier of each of the SIP messages, to determine a first SIP message and a second SIP message having the same header field identifier; and analyzing the SIP messages according to the first SIP message and the second SIP message having the same header field identifier.

Abstract: A combined lifting burn fencing equipment is disclosed herein. The combined lifting barn fencing equipment includes a barn movably mounted in a first annular groove in the periphery of stage, a lifting mechanism that drives the barn to lift up and down, a fence movably mounted in a second annular groove of the barn, and a hoisting mechanism that drives the fence to lift up and down. The lifting mechanism is mounted at the bottom of the first annular groove. The hoisting mechanism is mounted at the top of the gate above the stage. The barn is mounted a bedplate. The barn descends to the first annular groove or rises to the above of the stage driven by the lifting mechanism.

Abstract: A combined lifting burn fencing equipment is disclosed herein. The combined lifting barn fencing equipment includes a barn movably mounted in a first annular groove in the periphery of stage, a lifting mechanism that drives the barn to lift up and down, a fence movably mounted in a second annular groove of the barn, and a hoisting mechanism that drives the fence to lift up and down. The lifting mechanism is mounted at the bottom of the first annular groove. The hoisting mechanism is mounted at the top of the gate above the stage. The barn is mounted a bedplate. The barn descends to the first annular groove or rises to the above of the stage driven by the lifting mechanism.

Abstract: Embodiments of the present invention disclose a method for managing network device data and a network management system. The method including: storing identifiers respectively for different types of device data at the device side; the network management system storing the identifiers of the different types of device data into a database of the network management system upon synchronizing the device data; and during TRAP message processing and timing data synchronization, the network management system comparing the identifiers locally stored with the identifiers from the device side, and performing a corresponding update according to the comparison result.

Abstract: A method for obtaining a convergence ratio. Uplink ports of an access/convergence device in the access network are classified into different trunks according to their types. The method includes: determining whether the network is a narrowband access network, and if so, obtaining the service convergence ratio of a trunk according to the number of available slots provided by the trunk for instant services and the number of instant service subscribers supported by the trunk, and if not, determining whether the trunk includes a sub-trunk, and if it does not include a sub-trunk, obtaining the bandwidth convergence ratio of the trunk according to the trunk bandwidth of the trunk and the service bandwidth; if so, obtaining the bandwidth convergence ratio of the trunk according to the trunk bandwidth of the trunk, the service bandwidth and the sub-trunk service bandwidth.

Abstract: A method for obtaining a convergence ratio. Uplink ports of an access/convergence device in the access network are classified into different trunks according to their types. The method includes: determining whether the network is a narrowband access network, and if so, obtaining the service convergence ratio of a trunk according to the number of available slots provided by the trunk for instant services and the number of instant service subscribers supported by the trunk, and if not, determining whether the trunk includes a sub-trunk, and if it does not include a sub-trunk, obtaining the bandwidth convergence ratio of the trunk according to the trunk bandwidth of the trunk and the service bandwidth; if so, obtaining the bandwidth convergence ratio of the trunk according to the trunk bandwidth of the trunk, the service bandwidth and the sub-trunk service bandwidth.

Abstract: A method for processing asynchronous communication mechanism, including steps of: allocating identifiers for different operation command message; on receiving an operation command message transmitted by a manager module, an agent module determining whether the operation command is in need of an asynchronous notification, if the operation command is in need of the asynchronous notification, the agent module informing the manager module that the operation command has been performed; on receiving the information, the manager module waiting for the agent module to feed back the operation results; the agent module obtaining the identifier corresponding to the operation command message, and transmitting the operation results to the manager module through a TRAP message containing the identifier; and the manager module identifying the TRAP message through the identifier.

Abstract: Embodiments of the present invention disclose a method for managing network device data and a network management system. The method including: storing identifiers respectively for different types of device data at the device side; the network management system storing the identifiers of the different types of device data into a database of the network management system upon synchronizing the device data; and during TRAP message processing and timing data synchronization, the network management system comparing the identifiers locally stored with the identifiers from the device side, and performing a corresponding update according to the comparison result.