10 results about "Group type" patented technology

Systems, methods, and instrumentalities are disclosed for signaling parameter sets for geometry-based point cloud streams. In example, a device may receive an international organization for standardization base media file format (ISOBMFF) file. The ISOBMFF file may include geometry-based point cloud compression (G-PCC) data that is carried using one or more tracks with sample group description information and sample to group box information. The sample group description information may indicate grouping type information and a plurality of sample group description entries indicating geometry-based volumetric or point cloud parameter set information. The sample to group box information may include one or more sample to group box entries, each with a plurality of entry parameters comprising: the grouping type information, a grouping type parameter, and a sample group description index.

The embodiments of the present disclosure relate to a group creation method and apparatus, and a device and a storage medium. The method proposed herein comprises: in response to a first preset operation received in a target interface, displaying at least one group creation entry in the target interface, wherein a group type corresponding to the at least one group creation entry is determined on the basis of the interface type of the target interface; in response to the selection of a first group creation entry among the at least one group creation entry having been received, displaying a group configuration interface, wherein the first group creation entry corresponds to a first group type; and on the basis of group configuration information received in the group configuration interface, creating a first group corresponding to the first group type.

The invention relates to a monocular three-dimensional target detection method based on a group-type dynamic query distribution algorithm, and the method comprises the steps: obtaining an RGB image collected by a monocular camera, carrying out the preprocessing of the RGB image, carrying out the multi-scale feature extraction and fusion, applying channel-space joint attention, and obtaining a foreground region probability graph; performing enhancement and instance density extraction on the original features by using the foreground region probability graph to obtain an instance density graph for obtaining a window-level mask by using a multi-attenuation strategy and window maximum pooling, marking a dense region window according to the window-level mask, and retaining flexible candidates in the dense region window to generate a density sensing candidate set; performing group-type dynamic query allocation on the density perception candidate set by adopting a group-type dynamic query allocation algorithm to obtain final query features; the group type dynamic query distribution algorithm is obtained by training through a climbing type training strategy; and forming a final three-dimensional detection result of the target vehicle according to the final query features.

Method comprising: monitoring whether a network function receives an indication of a group type of a group, wherein, for the group type, a set of one or more admissible types of traffic routing admitted for a communication within the group is stored; checking whether the set of one or more admissible types of traffic routing stored for the group type comprises a first type of traffic routing if the network function receives the indication; inhibiting the network function to instruct a user plane function to apply the first type of traffic routing to a communication between a first member of the group and a second member of the group if the set of the one or more admissible types of traffic routing does not comprise the first type of traffic routing.

The invention provides an edge application scheduling method and device, equipment, a medium and a product, and relates to the technical field of edge computing, and the method comprises the steps: obtaining resource state data of a plurality of edge nodes; dividing the edge nodes into a plurality of groups according to the resource state data; wherein at least one of the groups is configured as a point-to-point network group for mirror distribution; allocating a corresponding priority to each group based on the resource state data and the group type; wherein the priority is used for determining a distribution sequence of the edge applications; and scheduling the edge applications to each group in batches according to the priority sequence of the priorities. Therefore, efficient distribution of edge applications is realized by performing information acquisition and dynamic grouping on the edge nodes and combining a point-to-point networking technology and a priority scheduling strategy.

The invention discloses a budget management system and method based on a group type research and development project, the system is constructed based on a cloud native micro-service architecture, and the architecture comprises a front-end interface configured with a project viewing, budget compiling and monitoring analysis module of the research and development project for a user to access through a browser for query; the business logic layer is used for performing budget rule calculation, a workflow engine and data verification operation according to user requirements; and the data layer is used for storing research and development projects, budget structures and execution data, and is in butt joint with the ERP system and the cost control system through an API (Application Program Interface). According to the scheme, through construction of a standardized cost structure, full-link digital management, a multi-dimensional monitoring model and accurate authority control, full-life-cycle efficient management of research and development budget is realized.

The application provides an edge application scheduling method and device, equipment, medium and product, relates to the technical field of edge computing, and comprises the following steps: acquiring resource state data of a plurality of edge nodes; dividing the edge nodes into a plurality of groups according to the resource state data; wherein at least one group in each group is configured as a point-to-point network group for mirror distribution; allocating corresponding priorities to each group based on the resource state data and the group type; wherein the priority is used to determine the distribution order of the edge application; and batch scheduling the edge application to each group according to the priority order of the priority. As can be seen, through information collection and dynamic grouping of the edge nodes, in combination with the point-to-point networking technology and the priority scheduling strategy, efficient distribution of the edge application is realized.

The invention relates to a tourist route optimization method and system based on group behaviors, and belongs to the technical field of tourist route recommendation. The method comprises the following steps: collecting tourist group positioning data in real time, accurately identifying an effective staying event through a speed threshold method, and constructing a structured data set; dynamically calculating a group preference coefficient based on the stay duration and the historical score, and generating a group type code in combination with age dominant attributes and occupational weighted statistics; quantifying the rhythm control ability of the tour guide to perform hierarchical authentication, and intelligently matching group requirements; and monitoring the travel deviation in real time, automatically triggering parameter calibration and route reconstruction, and synchronously pushing an optimization scheme. The system operates cooperatively through the group portrait engine, the real-time decision center and the dynamic planning module. Through dynamic behavior modeling and a closed-loop calibration mechanism, the adaptability of route recommendation to real-time preferences of tourists is remarkably improved, the problem of travel deviation caused by traditional static planning is solved, and the satisfaction degree of the tourists is improved.

The invention provides a resource processing method and device, equipment and a storage medium, and relates to the technical field of data processing. According to the scheme, the method comprises the steps of obtaining a multi-dimensional feature attribute and a basic resource allocation quota of a resource requester; constructing a target attribute value combination based on the value of each feature attribute in the multi-dimensional feature attributes, and determining a group type of a target group to which the resource requester belongs; determining a target adjustment coefficient corresponding to the resource requester based on the group type of the target group and a mapping relationship between the group type and the adjustment coefficient; and adjusting the basic resource allocation quota based on the target adjustment coefficient to obtain a target resource allocation quota of the resource requester, and performing resource processing according to the target resource allocation quota. The group type of the resource requester is identified based on the multi-dimensional feature attribute, and the resource quota is adjusted by using the adjustment coefficient obtained through security constraint analysis, so that the flexibility of resource quota decision in a diversity scene is improved, and the balance of security control and quota adaptation is realized.

This disclosure provides systems, methods, and apparatuses, including computer programs encoded on computer storage media, for accessing information associated with an organization hierarchy. In one aspect of the disclosure, a method includes transmitting, from a device to a server in which multiple group models are stored, an access request to access a first group model of the multiple group models. Each group model of the multiple group models is associated with a different organization and includes multiple group data structures, multiple group type data structures, and multiple group member data structures. Each group model is associated with group hierarchy information that indicates a hierarchy associated with the multiple group data structures associated with the group model. The method further includes receiving, at the device and based on the access request, first hierarchy information associated with a first group model. Other aspects and features are also claimed and described.