72 results about "Geographic regions" patented technology

Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for determining a navigation path. The method may include acquiring a source geographical location and a destination geographical location received from a user side device. In addition, the method may include determining a navigation path from the source geographical location to the destination geographical location based on a communication resource heat database, the communication resource heat database including at least a plurality of geographical regions associated with the navigation path and communication resource heat of each of the plurality of geographical regions, the communication resource heat including signal quality, signal strength, and a remaining resource capacity. Then, the method may include sending the determined navigation path to the user side device.

A virtual telephony platform may establish at least one communication connection with one or more multiple modem array devices that are deployed in one or more geographical regions. The platform may be provided with access to multiple Subscriber Identity Modules (SIMs). The platform may provision a unique device profile to a particular modem in a specific modem array device deployed in a particular geographical region through a communication connection. The platform may further provide the particular modem with a specific SIM profile of a particular SIM of the multiple SIMs through the corresponding communication connection, such that the particular modem is configured to use the specific SIM profile to access a base station of a wireless carrier in the particular region. The platform may further route telecommunication data between a client device and the wireless carrier network in the particular region through the particular modem.

Identifying neighbor access nodes in a wireless network includes determining a first region around an antenna of a source access node, the first region bound by a maximum sector distance from the antenna of the source access node within a communication sector of the antenna of the source access node, the source access node being an access node selected from a set of access nodes in a geographic region, determining a second region around the source access node, the second region bound by a maximum circumferential distance from the source access node, the maximum circumferential distance being less than the maximum sector distance, determining a third region around the source access node, the third region bound by the maximum circumferential distance from the source node within the communication sector, and identifying an access node from the set of access nodes as a neighbor access node to the source access node.

Motion planning with implicit occupancy for autonomous systems includes obtaining a set of trajectories through a geographic region for an autonomous system, and generating, for each trajectory in the set of trajectories, a set of points of interest in the geographic region to obtains sets of points of interest. Motion planning further includes quantizing the sets of points of interest to obtain a set of query points in the geographic region and querying the implicit decoder model with the set of query points to obtain point attributes for the set of query points. Motion planning further includes processing, for each trajectory of a least a subset of trajectories, the point attributes corresponding to the set of points of interest to obtain a trajectory cost for the trajectory. From the set of trajectories, a selected trajectory is selected according to trajectory cost.

This application relates to the field of computer technology and provides a network monitoring method for game launches, comprising: before the game launch, predicting network load pressure at different times and in different geographical areas during the launch period based on historical launch data and user reservation data, and dynamically generating an elastic monitoring strategy based on the network load pressure; during the game launch period, performing two-dimensional network probing based on the elastic monitoring strategy to obtain probing data, wherein the two-dimensional network probing includes Ping probing and HTTP dialing; and generating diagnostic suggestion information based on the probing data and a pre-trained fault diagnosis model. This application generates an elastic monitoring strategy for two-dimensional network probing, converts the elastic monitoring strategy into a probing task plan and serial stage tasks under the corresponding probing dimensions, and introduces real-time monitoring and adjustment capabilities to ensure the sensitivity of monitoring in the game launch scenario.

One variation of a method for managing virtual shopping lists includes: dispatching robotic systems, deployed in store, to autonomously scan inventory structures within this store; deriving current stock conditions of this store based on scan data recorded by these robotic systems; initializing a virtual shopping list for a user; in response to receipt of selection of a first product, from a population of products, isolating a subset of stores, in the set of stores in the geographic region, associated with current stock conditions indicating presence of the first product and products previously added to the virtual shopping list; in response to the subset of stores including at least one store, adding a first identifier of the first product to the virtual shopping list; and specifying a particular store, in the subset of stores, for fulfillment of a set of products on the virtual shopping list.

This disclosure relates to a construction material management method, electronic device, storage medium, and program product. The method includes: responding to a construction project message, determining a geographical region identifier for the construction project, and querying a preset database to obtain a target configuration rule matching the geographical region identifier; generating material task configuration information based on the target configuration rule and the construction project message, the material task configuration information including material construction task generation conditions; and generating a target material construction task when the material construction task generation conditions are met. By adopting the above technical solution, by obtaining pre-stored target configuration rules from the database according to the actual construction project area, and generating material task configuration information according to the target configuration rules to indicate the generation of target material construction tasks, the efficiency and accuracy of construction material management are improved.

A system and method are described for supporting permanent roaming for a user equipment (UE) device, which is carried out by a permanent roaming coordinator component, in a mobile wireless network environment including a plurality of public land mobile network (PLMN) carriers within a mobile wireless geographic region. The method includes accessing a current permanent roaming policy applicable to the mobile wireless geographic region within which the UE device resides. The method further includes applying the current permanent roaming policy to establish a current preferred PLMN for supporting a roaming mobile wireless network connection by the UE device, and resetting a usage counter parameter for the UE device in accordance with designating the current preferred PLMN for the UE device. Thereafter, the permanent roaming coordinator component monitors, while the current preferred PLMN supports roaming mobile wireless communications for the UE device, a current status of the usage counter parameter for the UE device.

Secrets can be migrated from a cloud environment to a local system. For example, a computing system can receive a secret stored in a cloud environment from a secret manager associated with the cloud environment. The computing system can identify a source location associated with the secret. The secret can map to a location identifier representing a geographic region that includes the source location of the secret. The computing system can determine that a filesystem in a physical server corresponds to the location identifier of the secret. The computing system then can store the secret in the filesystem of the physical server. The secret can be used to control access of one or more protected computing resources.

A system and method for generating demand value for lane level is disclosed. The system receives, from data sources, trip data associated with a plurality of trips. Each of the plurality of trips is associated with a lane of a link segment within a geographical region. The system determines location data associated with each of the plurality of trips based on the trip data. The location data comprises an origin location and a destination location. The system generates subsets of the plurality of trips. Each of the subsets is associated with at least one of: an origin location of each of the plurality of trips, or a destination location of each of the plurality of trips. The system generates a demand value for each of the origin locations and each of the destination locations based on the subsets. The system outputs the demand value associated with the lane.

This application relates to a service processing method, apparatus, computer device, computer-readable storage medium, and computer program product based on a peer-to-peer protocol. The method includes: obtaining the address information of the sender of a service registration request; determining the target geographical region to which the sender of the service registration request belongs based on the address information; obtaining real-time load information and server deployment locations corresponding to multiple optional peer-to-peer service nodes; matching the target geographical region with the server deployment locations; and determining the target peer-to-peer service node corresponding to the sender of the service registration request from the multiple optional peer-to-peer service nodes based on the location matching result and the real-time load information; and returning the target server address of the target peer-to-peer service node to the sender of the service registration request, so that the sender of the service registration request can establish a connection with the target peer-to-peer service node based on the target server address. This method can improve the communication performance of peer-to-peer communication.

This disclosure provides a method for clustering point light sources, a rendering method, and a computer program product. The method includes: acquiring a point light source dataset corresponding to a target geographic region, wherein the point light source dataset includes the identifier, location, and radius of each point light source, and the number of point light sources is two or more; establishing an association between the identifier of each point light source and the geographic grid obtained by pre-dividing the target geographic region based on the location range of each point light source and the geographic grid obtained by pre-dividing the target geographic region; determining the target geographic grid related to the visible range of the view frustum based on the location range of the geographic grid, the view frustum parameters, and the camera pose; using the point light sources associated with the target geographic grid as point light sources to be processed, and clustering the point light sources to be processed based on the view frustum parameters, the location and radius of the point light sources to be processed, and the preset number of blocks of the view frustum clipping plane, wherein one cluster corresponds to one block of the clipping plane, and the number of point light sources in each cluster does not exceed a preset number threshold.

This invention discloses a concurrent scheduling method and system for sanitation vehicles based on geographic affinity, belonging to the field of concurrent task scheduling technology. The method includes: S1, collecting sanitation vehicle operation data and performing preprocessing on the data; S2, generating candidate geographic region identifiers and generating and updating stable geographic region identifiers using a boundary buffer threshold and cross-regional dual threshold confirmation mechanism; S3, generating processing fragment identifiers and constructing regional task sub-queues, performing controlled concurrent scheduling based on continuous sequence number gating and regional token gating, and outputting fragment execution result data; S4, calculating fragment load values, and when the fragment load value exceeds the load threshold, performing regional splitting to generate adjusted geographic grid partitioning parameters and updating the sanitation vehicle concurrent scheduling mapping relationship. This solves the problem of frequent changes in regional identifiers caused by geographic region switching and boundary jitter in existing sanitation vehicle operation data, leading to unstable task allocation and unbalanced load scheduling.

Instantiating a first microservice-based platform instance in a first geographic region, wherein a first microservice of the first microservice-based platform instance performs index searching, a second microservice of the first microservice-based platform instance performs audit tracking, a third microservice of the first microservice-based platform instance performs object history tracking, and a fourth microservice of the first microservice-based platform instance performs entity matching. Instantiating a second microservice-based platform instance in a second geographic region, wherein the second microservice-based platform instance is a duplicate of the first microservice-based platform instance. Continuously synchronizing the first microservice-based platform instance and the second microservice-based platform instance. Receiving a query. Detecting a failure of the first microservice-based platform instance. Redirecting the query to the second microservice-based platform instance.

Systems, methods, and non-transitory computer-readable storage media for predicting the water quality within a geographic area based on hydrology data, contaminant data, and / or weather data using Artificial Intelligence (AI). The system can receive hydrology data for a predefined geographic region and real-time sensor data associated with water quality within the predefined geographic region. The system can then initiate a serverless AI algorithm using the hydrology data and the real-time sensor data, then receive output of the algorithm including an initial water quality score. The system can then adjust the initial water quality score based on contaminants within the predefined geographic region and transmit the resulting water quality index score to a mobile computing device.

Instantiating a first microservice-based platform instance in a first geographic region, wherein a first microservice of the first microservice-based platform instance performs index searching, a second microservice of the first microservice-based platform instance performs audit tracking, a third microservice of the first microservice-based platform instance performs object history tracking, and a fourth microservice of the first microservice-based platform instance performs entity matching. Instantiating a second microservice-based platform instance in a second geographic region, wherein the second microservice-based platform instance is a duplicate of the first microservice-based platform instance. Continuously synchronizing the first microservice-based platform instance and the second microservice-based platform instance. Receiving a query. Detecting a failure of the first microservice-based platform instance. Redirecting the query to the second microservice-based platform instance.

This disclosure proposes a method, apparatus, electronic device, and storage medium for determining saddle regions. The method includes: acquiring a digital elevation model of a geographic region, wherein the digital elevation model includes multiple initial grids; determining N*N initial grids as target grid regions, with each initial grid as a center grid, where N is an odd number greater than 1; determining four initial topographic profile lines along four axes of symmetry of the target grid regions; determining the curve parameters of each initial topographic profile line, wherein the curve parameters are used to describe the slope change of the initial topographic profile line when passing through the center grid; and determining whether the local geographic region corresponding to the initial grid is a saddle region based on the curve parameters of each initial topographic profile line. Thus, it is possible to accurately determine whether a geographic region is a saddle region, effectively improving the determination effect of saddle regions.

This application provides a vehicle control method, electronic device, and vehicle. The method includes: collecting multi-sensor data of the vehicle, including driver state data, vehicle state data, and location information, with the vehicle location information corresponding to the collection time; determining a fatigue score based on the driver's state data; searching a database based on the geographic area code corresponding to the vehicle's location information and the traffic time category corresponding to the collection time to determine the baseline style weights for various historical driving styles of the driver corresponding to the current driving scenario; determining the matching degree between the current driving scenario and the driving scenario represented by the baseline style weights based on the vehicle state data, fatigue score, and baseline style weights; determining the following parameters required by the vehicle's driver assistance system based on the matching degree; and controlling the vehicle's driving using the following parameters. Using the above method, driving safety and comfort can be ensured while taking into account the driver's personalized style.

Examples include a computing device configured by executable instructions to receive a data object for storage and an indication of a global storage class for storing the object. The global storage class includes an indication of at least one storage parameter with which the data object is to be stored. The data object is stored according to a first local storage class definition defined for the indicated global storage class at a first storage system located at a first geographic region corresponding to a first geographic location. Further, the data object is stored according to a second local storage class definition defined for the indicated global storage class at a second storage system located at a second geographic region corresponding to a second geographic location. The second local storage class definition differs from the first local storage class definition based on a difference in the at least one storage parameter.

The application relates to the technical field of inter-satellite link communication, and particularly discloses an inter-satellite link communication method based on constellation networking, which comprises the following steps: step S1: constructing a low-orbit satellite constellation, dividing the low-orbit satellite constellation into a plurality of domains according to geographical regions, selecting a core layer satellite in each domain as a management and control node, and collecting state data of all satellites in the domain; step S2: dividing all current users in the domain into a plurality of service grid points by the core layer satellite, obtaining service demand of each grid point and mapping the service demand into a service demand vector of the domain; meanwhile, mapping current beam coverage of each satellite in the domain into a coverage vector with the same scale as the service grid point; step S3: optimizing and adjusting the beam direction of each satellite based on the service demand vector and the coverage vector of each satellite by the core layer satellite, and generating corresponding beam direction adjustment parameters; and step S4: issuing the adjustment parameters to each satellite in the domain by the core layer satellite, and adjusting the beam direction according to the parameters by each satellite.

The application discloses a retail equipment distributed intelligent decision system and method based on cloud and edge node cooperation, relates to the technical field of Internet of Things intelligent retail equipment, and comprises a cloud intelligent layer, an equipment end intelligent layer and a physical hardware layer, wherein the cloud intelligent layer, the equipment end intelligent layer and the physical hardware layer are sequentially connected; the cloud intelligent layer comprises one orchestration agent and multiple professional sub-agents and is used for performing strategy analysis, decision optimization and on-site operation management on all-network retail equipment; the equipment end intelligent layer deploys one node agent for each retail equipment and directly controls the physical hardware layer through a hardware abstraction layer. The application realizes unified intelligent operation management of self-service retail equipment distributed in multiple geographical regions. Through comprehensive use of artificial intelligence multi-agent system, edge computing, an MQTT Internet of Things communication protocol, a hardware abstraction layer, a model context protocol and other technologies, efficient cooperation between cloud strategy decision and equipment end autonomous execution is realized.

The present technology relates to methods and systems for assessing a spatial area based on an at least one condition. The methods can include deploying an deploying an unmanned aerial vehicle (UAV) equipped with imaging technology; capturing images of a spatial area within a geographically selected region, wherein the region is selected based on data indicating potential of the at least one condition; processing the captured images to generate three-dimensional (3D) models and two-dimensional (2D) orthomosaics of the spatial area; and analyzing the generated 3D models and 2D orthomosaics using a machine learning algorithm configured to detect the at least one condition. The systems can comprise: a drone configured to capture aerial images; a computing device equipped to process the images into 3D models and 2D orthomosaics; and a machine learning module configured to analyze the models and mosaics to identify instances of the at least one condition.

A method that includes receiving a set of one or more images, each having one or more sets of pixels, receiving a ground truth value that a vertex point associated with a transition between two regions in a respective set of pixels, identifying a machine placement candidate vertex point for a first set of pixels, determining a set of one or more selected candidate features in the set of candidate features that maximizes an objective function that identifies an accuracy of the identified machine placement candidate vertex point compared to the respective ground truth for a respective set of pixels, updating a set of one or more basis features by adding the set of one or more selected candidate features that maximizes the objective function, and training a machine learning model based on the updated set of one or more basis features to identify additional vertex points for a transition.

The application relates to the technical field of data collection and processing, and more particularly discloses a scheduling mechanism for intelligent network connection cooperative driving application based on geographic region networking equipment data, which has the following processing procedure: step one, equipment real-time data access and storage according to regions: real-time equipment operation data is accessed, and the operation data is stored and indexed according to geographical positions; only the latest data of the same equipment is stored, historical data is not stored, and data is externally provided in a region-based and uniquely indexed manner; step two, regional traffic feature identification: a public identification algorithm module provides a data basis for the whole scheduling algorithm; the intelligent traffic network connection application based on the geographical region uses data collected by roadside and vehicle-mounted equipment, provides a computing unit for traffic participants to provide fusion sensing, cooperative decision-making and control services, and is a decision-making center unit for regional traffic participants to cooperate.

The invention relates to a method for assisting the guidance of a surface vessel (10) intended to tow a subsea device, the method comprising: a) a discretization of the geographical sector (21) around the surface vessel (10) into a plurality of zones (22, 23), each zone (22, 23) being classified according to a degree of accessibility among a set of degrees of accessibility; b) a calculation of a set of candidate trajectories (24, 25, 26) of the surface vessel (10) in said geographical sector (21), each candidate trajectory (24, 25, 26) corresponding to a different rate of rotation from the current position of the surface vessel (10); c) a ranking of each candidate trajectory (24, 25, 26) according to the degree of accessibility of the area of ​​the geographical sector crossed by the possible trajectory (24, 25, 26), and according to the feasibility of one or more predefined actions on said candidate trajectory (24, 25, 26);d) generating a display of the zones (22, 23) and candidate trajectories (24, 25, 26) on a human-machine interface, according to their classification and / or transmitting instructions relating to said actions. Figure for the abbreviation: Fig. 4;