41 results about "Neighbor relation" patented technology

Aspects of the subject disclosure may include, for example, connecting a user equipment (UE) to integrated networks including one or more terrestrial networks and one or more non-terrestrial networks, running a non-real time radio access network intelligent controller (non-RT RIC) at a service management and orchestration platform (SMO) of the O-RAN by running a plurality of rApps to manage traffic from the one or more terrestrial networks and the one or more non-terrestrial networks, and running a near-real time radio access network intelligent controller (near-RT RIC), where the running the near-RT RIC further comprises running an xApp to receive a UE measurement report and manage an automatic neighbor relation table in response to a command from one or more of the plurality of rApps. Other embodiments are disclosed.

The application provides an image clustering method and system based on natural neighbor search of fusion universal gravitation, and the method comprises the following steps: obtaining an image data set to be clustered; calculating the distance between each image data in the image data set according to the image data set; calculating the gravitation between each image data in the image data set based on the distance between each image data; obtaining a neighbor list of each image data based on the natural neighbor search method of fusion universal gravitation according to the gravitation between each image data; determining the neighbor relationship based on the neighbor list of each image data, and clustering the image data which are neighbors of each other into the same cluster according to the neighbor relationship to obtain an image clustering result. The image clustering method based on the natural neighbor search of fusion universal gravitation solves the problem of low accuracy of the existing image clustering method from the root.

Due to the line-of-sight nature of optical wireless communication and the limited field of view of optical receivers, the coverage of an access point (120) and the overlapping coverage area of neighboring access points (120) in an optical system are smaller compared to RF systems. Supporting secure roaming of an endpoint (110) in an optical multi-cell wireless communication network (100) becomes more challenging. To address this problem, a subsystem is disclosed that selects a candidate access point for an endpoint (110) from a plurality of access points (120) based on one or more neighbor relations and informs the endpoint (110) about the candidate access point to trigger the endpoint (110) to start a process to pre-establish a new pairwise transient key between the endpoint (110) and the candidate access point (120) for a secure handover.

The application discloses a privacy-enhanced data aggregation method supporting off-line fault tolerance and deviation correction. The method efficiently packs multi-dimensional data by using the Chinese remainder theorem, and realizes ciphertext aggregation without a fully trusted third party by introducing a collaborative mask based on neighbor relationship and a special mask shared by SM and CC, thereby guaranteeing data and identity privacy. Meanwhile, a deviation correction recovery mechanism executed unidirectionally by a control center is designed. The mechanism reconstructs a residual mask by using information such as a frozen candidate set and an effective participation set, thereby recovering a real aggregation result without requiring a node to respond secondly or an off-line node to supplement transmission. Performance evaluation shows that, compared with existing advanced schemes, DBPMDA reduces the additional communication and calculation overhead of the system in the case of device off-line, and is suitable for a resource-limited smart grid Internet of Things environment.

Methods and apparatus for supporting handover via efficiently updating neighbor tables in response to a detected dissimilar channel assignment, e.g., a temporary PAL channel assignment to one or more cells in a network, are described. In various cases the newly assigned temporary PAL channel has a different bandwidth and / or a different carrier frequency than the original PAL channel. The content of neighbor tables is supplemented to reflect the temporary dissimilar assignment. After the temporary assignment ends the original neighbor tables are restored.

Embodiments of a method in a user equipment and base station for implementing an Automatic Neighbor Relation (ANR) procedure. In some embodiments, the method in a user equipment includes: reporting to a network node that SIB1 is currently unavailable from a neighbor cell but can be obtained on demand; requesting the neighbor cell's SIB1 on demand, based at least in part on a configuration / indication received from the network node; and performing the ANR procedure for the neighbor cell based on an On-Demand SIB1 (OD-SIB1) received from the neighbor cell in response to the request. The method in the base station includes: configuring the UE to report that SIB1 currently unavailable from a neighbor cell but can be obtained on-demand; and configuring the UE to perform the ANR procedure for the neighbor cell based on an On-Demand SIB1 (OD- SIB1).

The present disclosure provides an automatic neighbor relation measurement method, device and storage medium, wherein the automatic neighbor relation measurement method comprises the following steps: in response to an ANR measurement configuration issued by an original base station, performing a re-establishment with a target base station; and according to the ANR measurement configuration, acquiring public gateway interface information of the target base station and configuration information of a core network device connected to the target base station.

The invention relates to the technical field of infrastructure and IT support, and provides a route synchronization method in an SDN controller scene and related equipment, and the route synchronization method in the SDN controller scene applied to a route multi-active synchronization service comprises the following steps: receiving a service route generated by an SDN controller; sending the service route to a plurality of target BGP (Border Gateway Protocol) services, so that each target BGP service respectively sends the received service route to router equipment corresponding to the service route; wherein the plurality of target BGP protocol services respectively establish a neighbor relationship with the router device. According to the technical scheme provided by the invention, the router equipment receives the service routes sent by the multiple target BGP protocol services, a service route multi-activity mechanism is realized, when abnormal downtime of the BGP protocol services occurs, route loss cannot be caused, and high-stability continuous operation of the service routes can be ensured.

Aspects of the subject disclosure may include, for example, obtaining a measurement report from a communication device, the measurement report indicates a first mobile network resource of a first neighbor base station, and reporting the first mobile network resource of the first neighbor base station to an automatic neighbor relation (ANR) optimizer (ANR-o) xApplication running on a radio access network (RAN) intelligent controller (RIC). The ANR-o xApplication provides a first indication of a first group of mobile network resources of the first neighbor base station to the serving base station. Further embodiments can include receiving the first indication of the first group of mobile network resources associated with the first neighbor base station, and updating an ANR table associated with the serving base station with the first mobile network resource and the first group of mobile network resources associated with the first neighbor base station. Other embodiments are disclosed.

An inductive link prediction method based on subgraph and path comparative representation learning is characterized in that an overall knowledge graph comprises a plurality of structured triples et = (s, rT, o), surrounding subgraphs containing target nodes are extracted, isolated nodes and a complete neighbor relation are reserved, and node features of complete semantic information between neighbor nodes are obtained. And extracting a topological relation path between the head entity s and the tail entity o from the knowledge graph. Local structures and relation semantics are obtained through node-level relation coding, sub-graph-level aggregation perception message passing and an attention mechanism. And carrying out modeling on paths of adjacent relations of the sub-graphs to obtain features in the sub-graphs. A topological structure of a target map is associated with path representation, marginal-based loss is incorporated into distance scores of a positive path sample and a negative path sample, the positive path sample and the negative path sample which need to be distinguished are compared and learned through semantic information conveyed by a relation path, and a loss function is optimized through joint training.

The application provides a network management type switch communication method, which comprises the following steps: a network device periodically sends a TLV query message to surrounding devices; when a neighbor relationship is not established between the network devices, a TLV message for requesting to establish a connection is sent, if the network device starts an LLDP function and a reply to agree to the connection, the connection obtains the description information of the network device, if the connection is not agreed, the first network device Mac address information is cached, and the sending of the TLV query message is stopped; when the connection needs to be established, if the second network device Mac address is not cleared in the first network device, after receiving the connection request, the first network device directly sends a TLV message for requesting to connect, and the second network device Mac address is saved to a TLV list, if the second network device Mac address is cleared, the first network device periodically sends a TLV query message to the second network device. Through the scheme, the handshake connection is not needed when the neighbor relationship is established, the number of interactions is reduced, and the negotiation time is shortened.

Embodiments of the present application disclose a device detection method, device and equipment, the method comprising: receiving a state detection request for a target service device, in response to the state detection request, obtaining neighbor relationship information, routing table data and a management information base corresponding to the target service device based on a preset network communication protocol, constructing a network topology corresponding to the target service device based on the neighbor relationship information, routing table data and the management information base corresponding to the target service device, and performing a performance test on the target service device based on the network topology to obtain first performance test data, obtaining second performance test data of the target service device in an acceptance stage, and determining a state detection result of the target service device based on the first performance test data and the second performance test data.

The application discloses a low-load flooding method and system for a layered large-scale satellite internet, and mainly solves the problems that an existing flooding method is difficult to reduce satellite transmission load, and topology frequently changes and satellite node resources are nervous. An implementation scheme comprises the following steps: initializing a satellite node, setting a link state instant flooding range parameter; the satellite node establishes a neighbor relationship with surrounding nodes, maintains a link state database, and divides network levels; when a link state changes, a link state update message is generated and sent to neighbor nodes of different levels; after the satellite node receives the message, the message is parsed to calculate a routing table item, and the routing table item is forwarded to the neighbor nodes; the satellite node periodically combines all messages in a message buffer area, generates a global link state update message, and floods the global link state update message in the whole network. The application can effectively reduce network flooding load, improve network transmission efficiency, and enhance the adaptability of the network to a dynamic environment, and can be applied to large-scale satellite internet network transmission.

This invention discloses an information retrieval optimization method based on few-sample knowledge graph completion. It constructs a few-sample knowledge graph completion model, GAKDN, and utilizes a gated and role-aware neighbor aggregator to effectively filter neighbor noise information, reducing the impact of noise on entity embedding learning. A role recognition network learns deep associations between entities and their neighbors, identifying the roles of entities under different few-sample relationships. Knowledge distillation extracts structural information between entity pairs corresponding to few-sample relationships, alleviating the problem of insufficient sample representation. An adaptive matching processor calculates the scores of the positive and negative query sets and the support set, finding the most suitable entity for completion based on the highest score. This invention solves the problems of noisy neighborhoods, multiple entity roles, and insufficient sample feature learning in few-sample scenarios, thereby more accurately predicting the tail entity to be completed, improving the accuracy of knowledge graph completion in few-sample scenarios, and optimizing the information retrieval capability of knowledge graphs.

The invention discloses a data processing method and device, equipment and a storage medium. Comprising the steps that a target relation graph is obtained, and the target relation graph is formed by connecting a plurality of relation nodes and edges between the relation nodes; searching an intra-graph neighbor node of each relation node in the target relation graph; based on each relation node and the intra-graph neighbor node corresponding to each relation node, determining the intra-graph neighbor relation of each relation node in the target relation graph; according to the intra-graph neighbor relation of each relation node, calculating the node relation importance degree of each relation node, and according to the shortest path of each relation node pair in the target relation graph, calculating the node position importance degree of each relation node; and based on the node relation importance and the node position importance corresponding to each relation node, determining a target key node in the target relation graph. According to the method, the recognition speed and expansibility of the key nodes in different application scenes are improved.

This invention discloses a product diversity complementary recommendation method in the field of e-commerce. The method includes: inputting the product category label of the target product into a pre-trained large language model to determine the complementary relationship between the target product and candidate products; constructing a product complementarity graph by treating products as nodes and the complementary relationship between the target product and candidate products as edge information; establishing neighbor relationships for the target product based on the product complementarity graph, combining the feature vectors and edge information of neighbor nodes; learning the product embedding representation through a graph neural network based on the neighbor relationships to determine the product embedding vector; determining the set of neighbor nodes for the target product based on the similarity between product embedding vectors; weighting intra-class complementarity and inter-class complementarity to select multiple product neighbors from the target product's set of neighbor nodes; and performing a self-balancing re-ranking of the comprehensive scores of the product neighbors through a constructed relevance-diversity weight mechanism to obtain the final recommendation result.

The present application discloses a method, system and server for locating products in a supermarket. The method comprises: electronic shelf labels transmitting signals for measuring angles of arrival and signals for locating neighbor shelf labels, receiving locating neighbor signals of other shelf labels, and determining neighbor information; base stations measuring angles of arrival of shelf label signals; a cloud positioning server determining preliminary positions of the shelf labels on the basis of the angles; determining a neighbor relationship of all the shelf labels on the basis of the neighbor information; on the basis of the neighbor relationship, screening a plurality of preliminary locating positions of each electronic shelf label to obtain an optimized locating position of each electronic shelf label; a map server predicting a preliminary product display position aggregation result of each electronic shelf label on the basis of the optimized position, and mapping the preliminary product display position aggregation result onto a supermarket map image; and optimizing each preliminary aggregation result in the image on the basis of the following factors to obtain a result representing a locating result of each product bound to the corresponding shelf label: the neighbor relationship, an actual distance, the category of a display position, and the ratio of the area of the display position to the number of shelf labels having been aggregated.

The invention discloses a wireless Mesh network dynamic topology sensing method based on a distribution consistency protocol. The method comprises the following steps: initializing network nodes; judging whether the nodes can communicate or not based on the Euclidean distance between the nodes and a preset communication range, and establishing a neighbor relationship; each node periodically executes the Gossip protocol; the receiving node processes the Gossip message; and the node updates position information according to the own mobile model, recalculates the distance between the adjacent nodes, and updates the neighbor connection state. The method mainly solves the problems that network topology sensing is not timely and network connectivity is difficult to maintain in a node high-speed moving scene in the prior art. According to the method, the bottleneck of centralized control is avoided, the dynamic property, the stability and the adaptivity of wireless Mesh network topology management are remarkably improved while the overall connectivity of the network and the consistency of topology views are ensured, and the method is particularly suitable for a wireless self-organizing network environment in which nodes move frequently and the network state changes dynamically.

This application provides a data keep-alive method and apparatus. The method is applied to a first network device and includes: when the first network device and a second network device re-establish a BGP neighbor relationship, determining whether to send first inheritance information of the SR Policy corresponding to the SR Policy route to the second network device; if it is determined to send the first inheritance information to the second network device, then sending a first BGP UPDATE message to the second network device, the first BGP UPDATE message including the SR Policy route and the first inheritance information, so that the second network device activates the SR Policy locally and inherits the first inheritance information under the SR Policy.

The application provides a method and system for mining common neighbor relationship of massive data based on graph calculation, wherein the method comprises the following steps: step 1, constructing a concept metadata system; step 2, collecting data from an information system to be mined, and obtaining instances of concepts according to the concept metadata system; step 3, uniformly encoding attributes in the instances; step 4, storing the encoding and the corresponding instances in a graph database in a distributed storage mode; and step 5, relationship mining, extracting instances from the distributed graph storage, discovering common neighbors between the instances according to the characteristics of the encoding, filtering according to preset rules, and generating recommended relationships; and the system is used for realizing the above method. The application can be widely applied to the fields of social network analysis and recommendation system optimization, and provides an efficient solution for relationship mining of massive data.

The embodiment of the present specification provides an audio device networking method and system, the method comprises: controlling a plurality of audio devices to start mutual discovery, receiving a neighbor relationship list sent by the plurality of audio devices; controlling a transmitting device to transmit a probe signal, and receiving first spatial data sent by the plurality of audio devices after receiving the probe signal, the first spatial data of each audio device representing the distance and / or azimuth angle of each audio device relative to the transmitting device; controlling the plurality of audio devices to start radar detection, receiving environmental boundary data sent by the plurality of audio devices, the environmental boundary data of each audio device representing the position and orientation of the obstruction within the near-field range of each audio device; and grouping the plurality of audio devices based on the neighbor relationship list, the first spatial data and the environmental boundary data of the plurality of audio devices, and determining the association relationship between each group and the physical room.

The invention provides a vehicle-mounted information processing method and a vehicle-mounted information processing device, and the method comprises the steps: obtaining the connection state and neighborhood relation information between all devices in a vehicle-mounted network; determining a connection relationship between the devices based on the connection state and the neighbor relationship information; processing the connection relationship by using a fast spanning tree protocol, and determining a trunk path; according to the trunk path, mapping to obtain a topological data model; and performing difference comparison on the topological data model and an existing topological model stored locally, and adaptively selecting a configuration issuing mode to update network configuration according to a comparison result and the protocol support capability of target equipment. According to the invention, the adaptive configuration updating of the vehicle-mounted network topology is realized, and the maintainability and flexibility of the vehicle-mounted network are improved.

The invention discloses a high-dimensional multi-modal search-oriented unified multi-space indexing method, which comprises the following steps of: acquiring a multi-vector object set, and representing each object by a plurality of vectors from different semantic spaces; constructing a unified multi-space graph index, and integrating all possible neighborhood relationships of vector combination spaces into a single graph structure; in the index construction process, objects to be inserted are used as different multi-vector queries to be processed respectively, each vector combination space is searched, and neighbor nodes are selected; optimizing an index construction process by applying a lossless acceleration technology; carrying out lossless compression on the constructed neighbor list to reduce the storage overhead; and receiving a multi-vector query, executing adaptive navigation search according to a vector combination and a weight of the query, and returning a most similar object. According to the method, the space mismatching problem and the resource explosion dilemma of an existing method can be solved, the index construction time and the storage overhead are remarkably reduced, and the efficiency and the accuracy of multi-vector query are effectively improved.

Proposed in the present specification are procedures / configurations such as an extended neighbor relation table (NRT), NG interface setup information, a measurement report, and the like so as to manage a neighbor relation list by distinguishing terrestrial networks (TN) from satellite networks for a smooth handover operation between the terrestrial networks and non-terrestrial networks (NTN).

The invention discloses a neighbor relation determination method and device, electronic equipment, a storage medium and a program, and the method comprises the steps: obtaining the geographic position coordinates of a stock site and a new site; determining a geographic position range corresponding to the newly-added site according to the required spacing information of the newly-added site and the geographic position coordinate of the newly-added site; and based on the geographic position range of the newly added site and the geographic position coordinate of the stock site, determining a neighbor site of the newly added site. According to the embodiment of the invention, the stock sites can be screened based on the geographic position range of the newly added sites, the efficiency of determining the neighbor relation can be improved, the processing speed of the stock data is improved, and the improvement of the site planning efficiency is facilitated.

The present application relates to the field of power distribution system equipment state monitoring, in particular to a high-voltage fuse array operation monitoring method and system based on an Internet of Things architecture, which pre-constructs an array topology graph containing thermal neighbor relationships and heat dissipation area division in the commissioning phase; in the operation phase, the current environmental reference temperature is estimated based on the low-load fuse set in the array in each sampling period, and the expected temperature of each fuse is calculated by combining the current-carrying self-heating temperature rise and the heat dissipation condition offset, then the group environmental disturbance and isolated point degradation are distinguished by neighbor deviation synchronization rate, and finally the alarm is output after multi-cycle continuity confirmation. The present application can absorb the group temperature rise caused by the change of cabinet ventilation and environmental drift, significantly reduce the false alarm rate, and at the same time improve the recognition sensitivity to early degradation of the melt. The present application uses the array collective behavior as a self-referencing benchmark instead of a fixed threshold, which improves the early degradation detection capability and suppresses false alarms.

The invention discloses an HNSW index data management method and device, equipment and a medium, and the method comprises the steps: obtaining a target node corresponding to a to-be-executed transaction, and carrying out the target operation of a storage position corresponding to the target node according to the to-be-executed transaction, and generating a target redo log and a target revocation log corresponding to the target operation and version transaction data of the to-be-executed transaction for performing the target operation on the target node, before the to-be-executed transaction is completed, executing a row lock on a corresponding storage position in the target node, and according to the to-be-executed transaction, performing an updating operation on a neighbor relationship between the neighbor node and the target node. And generating a neighbor redo log and / or a neighbor revocation log corresponding to the update operation, and before the to-be-executed transaction is completed, not limiting the access to the neighbor relationship of the neighbor node. The HNSW index data is decoupled and classified, and a differentiated transaction processing mechanism is adopted, so that good balance is achieved between guarantee of global strong consistency and reduction of neighbor relationship transaction management overhead, and performance and consistency are effectively considered.

Automatic neighbor relationships (ANR) can be implemented within a radio access network intelligent controller (RIC), which receives load information from network nodes and user equipment measurements from user equipment. The RIC can create and maintain real-time load information and leverage slicing knowledge of neighbor cells during mobility to direct the user equipment to various network slices. Thus, an enhanced radio access network (RAN) neighbor relationship that utilizes slicing information can provide slice level RAN neighbor visibility on top of physical ANR relationships to enable enhancements for mobility management optimization.