1824results about "Services signalling" patented technology

Techniques and systems for the dynamic generation of a map interface include generating temporal activity models by representing individual social media postings as having respective density distributions in time. Each posting's temporal density distribution spans multiple sequential time windows centered on the posting's timestamp, with density contributions decreasing in value for time windows further from the timestamp. The temporal models may be combined with spatial density distributions to generate comprehensive geo-temporal representations of social media activity. A graphical user interface displays an interactive map with overlay elements determined based on calculated activity attributes, including detected temporal patterns and anomalies identified by comparing current activity models against historical baselines. The modeling approach enables improved visualization of activity patterns while providing inherent privacy protection through probabilistic representation of individual posts.

The invention provides an intelligent short message scheduling method and device based on multi-dimensional dynamic optimization, and the method comprises the steps: obtaining the performance data of a plurality of short message channels, and calculating a channel health score based on a weight dynamic adjustment model; determining a scheduling strategy according to the priority identifier of the to-be-sent message, and performing channel screening and optimal matching; executing message sending and monitoring a sending state; terminal state detection is carried out on the failure message through operator base station signaling, and a decision tree model is applied to determine a retry strategy; and performing Huffman coding compression processing on the P2-level marketing messages which fail in retry, and performing batch sending in an idle window. According to the method, a comprehensive performance evaluation index and reward function model is also constructed, and parameter optimization is performed by applying a reinforcement learning algorithm. According to the invention, multi-dimensional dynamic channel scoring, intelligent retry decision making based on terminal state perception, batch processing with balanced cost-time efficiency and a closed-loop self-optimization system are realized, the short message delivery rate is obviously improved, and the invalid retry rate and the sending cost are reduced.

Disclosed are techniques for wireless environment sensing. In aspects, a device-equipped target object receives a radio frequency (RF) sensing signal from a transmitter device, the RF sensing signal configured to enable a sensing device to sense target objects in an environment of the sensing device, the target objects including the device equipped target object. The device-equipped target object transmits an RF sensing response signal to the sensing device in response to reception of the RF sensing signal. In an aspect, a sensing device receives an RF sensing response signal from a device-equipped target object, the RF sensing response signal configured to enable the sensing device to sense the device-equipped target object in an environment of the sensing device. The sensing device detects a presence of the device-equipped target object in the environment of the sensing device based at least on the RF sensing response signal.

An electronic device that has a user-interface locked state and a user-interface unlocked state communicates with an external device using wireless communication to facilitate unlocking of the electronic device.

Various aspects of the present disclosure relate to utilizing artificial intelligence (AI) and / or machine learning (ML) prediction models when compensating for channel aging in non-terrestrial networks (NTNs). The aspects of the present disclosure can facilitate the selection of a prediction model based on specific conditions or attributes of an NTN, such as parameters associated with a satellite of the NTN and / or weather or atmospheric conditions surrounding the NTN.

The invention provides a city-level large-scale crowd activity track generation method based on mobile phone signaling, and belongs to the field of intelligent transportation, and the method comprises the steps: S1, obtaining signaling data of a specific crowd in a selected city in one day, carrying out the preprocessing operation, and carrying out the grid division of a map region; s2, processing each preprocessed track sequence by using a mask auto-encoder model to obtain the probability that each track point belongs to different grids; s3, constructing a loss function of trajectory accuracy and distribution diversity, and finally obtaining parameters of a pre-training stage model by reconstructing training parameters of mask trajectory points; s4, generating a complete final track by using the pre-training stage model; and S5, covering the corresponding latitude and longitude coordinates of the specific personnel at a certain moment in the generated trajectory points, and finally forming a complete final trajectory of the specific personnel. According to the method disclosed by the invention, the large-scale crowd activity trajectory data consistent with the original signaling trajectory data in distribution can be generated on the premise of not exposing personal privacy.

A social media platform provides a map-based graphical user interface (GUI) for accessing social media content submitted for public accessibility via the social media platform supported by the map-based GUI. The GUI includes a map providing interactive location-based searching functionality in that selection of a target location by the user in the GUI, such as by tapping or clicking at the target location, triggers a search for social media content having geo-tag data indicating geographic locations within a geographical search area centered on the target location. A search period for which content is returned is dynamically variable based on the duration for which the tap or click is held.

A map-based graphical user interface for a social media application displays to social media activity information based on submission of geo-tagged social media items to the platform. Geographical distributions of social activity is displayed on a map forming part of the application. A heatmap can represent posting density or unusualness.

The invention discloses a system message sending method, device and system, relates to the technical field of communication, and aims to solve the problems that a terminal has error codes for a long time and the access service rate is suddenly reduced due to the fact that a base station sends an SIB2 with changed information at the front position of a first SI window and the terminal cannot analyze the SIB2 with changed information in the first SI window in time. The method comprises the following steps that: when information in an SIB2 is changed, access network equipment acquires the SIB2, and then sends the SIB2 in a fourth system frame of a first SI window to a terminal. Correspondingly, the terminal receives the SIB2 with changed information in the fourth system frame of the first SI window sent by the access network equipment, and analyzes the SIB2 based on the SIB2 with changed information. The scheme of the invention can be widely applied to the fields of communication technology, artificial intelligence, Internet of Vehicles, smart home networking and the like.

According to certain embodiments, a method by a wireless device includes receiving, from a network node, a first indication of a system information data and broadcast status associated with on-demand delivery of the system information data. The wireless device transmits a request for the system information data to the network node while the wireless device is in Radio Resource Control, RRC, Connected Mode. Based on the broadcast status, the wireless device receives the on-demand delivery of the system information data from the network node.

The present disclosure provides a communication method, a communication apparatus, a computer-readable storage medium and a computer program product. The communication method comprises: sending an ambient power enabled Internet of Things (AIoT) instruction to N readers among at least one reader, wherein the N readers are determined on the basis of information of at least one reader and / or information of a target device, and the target device is a device adapting to the N readers. The solution provided by the present disclosure is beneficial for improving the success rate of communication between a reader and a target device, and improving the transceiving reliability.

Disclosed are a signaling transmission method, device and system, which relate to the field of communications and are used for reducing the congestion degree of a control plane and improving the efficiency of signaling transmission. The method comprises: receiving service information, and according to the service information, sending a first signaling message to a first network element of the service plane, the first signaling message comprising a signaling of a first service; the service information is used for indicating information of at least one service supporting signaling transmission through a service plane; the first service belongs to the at least one service. Therefore, the signaling message (such as the first signaling message) can be transmitted between the terminal and the network function CP-NF of the control plane through the service plane, so that the probability of congestion of the control plane can be reduced, and the signaling transmission efficiency is improved.

Methods, systems, and devices for wireless communications are described. Some wireless communications systems may support power control for energy providing devices and energy harvesting devices. For example, a wireless device may receive a first control signal indicating a set of energy transfer power control schemes, for an energy providing wireless device, or a set of data transfer power control schemes, for an energy providing wireless device. Additionally, the wireless device may receive a second control message activating a first energy transfer power control scheme or a first data transmission power control scheme, respectively. The wireless device may communicate, to one or more additional wireless device, a scheduling message scheduling transmission of an energy transfer signal or a data message, respectively, and may transmit the energy transfer signal or the data message in accordance with the first energy transfer power control scheme or the first data transmission power control scheme.

The invention relates to a communication method and related equipment, which are used for realizing an implementation mode of taking an IAB node or a host node or a network element of a core network as a determination party of a working mode of the IAB node under the condition that the IAB node supports a mobile IAB mode and an IAB mode. The working mode of the IAB node can be flexibly selected as one of the mobile IAB mode and the IAB mode, so that the communication flexibility of the IAB node in an IAB network is improved. In the method, an IAB node determines that the establishment of radio resource control (RRC) connection between the IAB node and a host node is not completed, or determines that the establishment of the RRC connection between the IAB node and the host node is completed, and the working mode of the IAB node is a mobile IAB mode, or determines that the establishment of the RRC connection between the IAB node and the host node is completed, or determines that the establishment of the RRC connection between the IAB node and the host node is completed. And the IAB node determines that the working mode of the IAB node is the IAB mode in the mobile IAB mode and the IAB mode.

A route determination method, a communication device, and a storage medium are provided, which include the steps of first acquiring a first network topology of an audio-video system, in which attribute information of links in the first network topology includes link transmission parameters, the link transmission parameters including a concave parameter, an additive parameter, and a multiplicative parameter, determining links from the first network topology that satisfy a concave parameter constraint, generating a second network topology using the links that satisfy the concave parameter constraint, then generating a third network topology based on key parameters of the links in the second network topology, and determining a plurality of candidate routes based on the third network topology, and determining a target route that satisfies a route selection constraint from the plurality of candidate routes.

A method and system for automated routing of pictures taken on mobile electronic devices to a digital picture frame including a camera, microphone, and speaker integrated with the frame, and a network connection module allowing the frame for direct contact and upload of photos from electronic devices or from photo collections of community members. Clustering photos by content is used to improve display and to respond to photo viewer desires. Trends or patterns can be detected from the photo collections and that information used for various purposes beyond photo display. The frame includes a conversational intelligence that provides a verbal communication with a viewer, such as for determining an identity or preferences of the frame viewer, determining photos to display for the viewer, discussing displayed photos with the viewer, or telling stories or life histories to the viewer based upon photo content.

The present disclosure is directed to servicing mobile devices at a point of interest. The method includes receiving a plurality of beacon broadcasts with beacon identifiers corresponding to first party beacons within a physical location associated with a merchant. The method includes detecting a triggering event associated with at least one of the one or more beacon identifiers. The method includes generating a user communication for a first party computing system associated with the merchant. The user communication includes data indicative of the at least one beacon identifier. The method includes receiving a first party advertising communication indicative of a first party item associated with the at least one beacon identifier. In response to the first party advertising communication, the method includes providing, for display, data indicative of the first party item associated with the at least one beacon identifier.

A social media platform provides a map-based graphical user interface (GUI) with multiple geographically anchored icons that are selectable to trigger playback of respective galleries of ephemeral messages. Each of the plurality of location-based ephemeral galleries comprises media content contributed by multiple different users. The ephemeral galleries are compiled based on geo-tag data associated with respective ephemeral messages submitted by multiple users to be publicly viewable via the map-based GUI.

The invention discloses a communication method based on a wireless access network architecture. The method comprises the steps that a first network function receives a signaling transmission establishment request of UE through a third network function; the first network function establishes a first signaling with a third network function according to the establishment signaling transmission request; the first network function sends a signaling transmission instruction to the second network function; signaling interaction is established between the second network function and the third network function; wherein the first signaling is an access layer signaling established by the RAN and the UE, and the first network function and the second network function are mutually independent network functions in the RAN control plane. The method and the device are used for solving the technical problem that in the prior art, an RAN can only deploy a gNB-CU-CP which not only supports a UE wireless connection management function, but also supports a UE user plane data transmission management function, so that the cost is relatively high.

The invention discloses a method, a system, equipment and a medium for constructing a special area ad hoc network for a small hydropower station in a mountainous area, and relates to the technical field of area ad hoc networks, and the method comprises the steps: selecting an initial node in the small hydropower station as a network initiating node, setting the initial node as a backbone node after starting, and starting a broadcast control signaling to form a virtual backbone network; other nodes enter a non-network-access state after being started, periodically send a state broadcast packet to search the backbone node, and if the backbone node is detected, complete network access authentication and join the network to become a non-backbone node; non-backbone nodes joining the network enter an active state in a preset period so as to assist other nodes which do not access the network to complete search and access; and when the network topology changes, the connection of the virtual backbone link is kept through a bridging mechanism. According to the method, the virtual backbone communication network with the characteristics of high reliability, high expandability and low energy consumption can be quickly constructed in a complex mountain environment which lacks public network coverage and is unstable in communication link.

The invention relates to the technical field of passenger flow information acquisition, and discloses a passenger flow information acquisition system and method based on multiple scenes, and the method comprises the steps of data acquisition, user classification, real-time analysis, regional analysis and information display.In the aspect of crowd flow analysis, mobile signaling data are accurately acquired, and timestamps and base station information are combined, so that the crowd flow analysis efficiency is improved; high-temporal-spatial-resolution analysis is realized, a crowd real-time flow diagram can be accurately generated, and urban traffic planning, large-scale activity security and the like are assisted; and in area evaluation, key inflow and normal flow areas are determined, a key area map is generated, and a basis is provided for commercial layout and public facility construction. User classification is accurate, and tourism management and local public service optimization are facilitated. An analysis result is visually presented through visual display, scientific decision making is assisted, and the method is suitable for multiple fields such as urban emergency management; a real-time updating mechanism ensures the timeliness of data, and improves the flexibility of city management and the capability of dealing with emergencies.

The invention provides a graph neural network-based commercial district passenger flow prediction method, system and device, and relates to the technical field of commercial district passenger flow prediction, and the method mainly comprises the steps: constructing a feature space of commercial district passenger flow prediction based on a traffic cell set and a commercial district set; embedding the traffic zone features into a graph neural network to obtain traffic zone embedded vectors; embedding the business district features into a first multi-layer perceptron to obtain business district embedded vectors; the embedded vectors are connected with the corresponding OD flow features to serve as OD flow comprehensive representation vectors; training and verifying the second multi-layer perceptron; and taking the OD flow comprehensive representation vector which is best in performance on the verification set as input, transmitting the OD flow comprehensive representation vector into a full-connection neural network, and predicting the commercial district passenger flow volume. According to the scheme, the geographical semantic information of the plot is incorporated into the model for feature embedding, a multi-graph structure combining two spatial dependencies is constructed, the OD flow of the business district is predicted through the graph neural network and the graph embedding technology, and the prediction accuracy is higher.

A picture frame and methods of setup, gifting, and / or use. Network connection allows digital frames to be set up remotely by a first user for a second user. The first user can upload photos from electronic devices or from photo collections of community members before the second user receives the frame device. The frame is thus ready for display upon powering on by the second user. An integrated speaker is used to automatically deliver spoken messages at start-up. The displayed photos are automatically shown and / or changed according to the detected viewers. The photos can be filtered and cropped at the receiver side. Clustering photos by content is used to improve display and to respond to photo viewer desires.

The invention discloses a signaling road network matching method based on a heterogeneous graph convolutional network and an attention mechanism, and belongs to the crossing field of mobile communication and intelligent traffic technologies. According to the method, a multi-relation graph containing a road segment set and a base station sampling point set is constructed, wherein an edge set covers associated edges of base station sampling points and road segments, topological edges of the road segments and time edges of the base station sampling points; performing feature extraction on the multi-relation graph by adopting a 3-5-layer heterogeneous graph convolutional network to obtain low-dimensional vector representation of nodes; dynamically calculating an observation probability and a transition probability based on an attention mechanism; and performing path search by using an improved Viterbi algorithm in combination with a backtracking mechanism and a pruning strategy, and outputting a path with the highest score as a matching result. The method can effectively solve the problems of poor adaptability to complex road networks, insufficient robustness to high positioning error signaling data, low precision caused by matching probability immobilization and the like in the prior art, significantly improves the accuracy and robustness of signaling road network matching in complex scenes, and can be applied to the fields of traffic flow monitoring, travel mode analysis, urban planning and the like.

A transmission processing method and apparatus and a device are provided. The method includes: generating, by a first device, a first signal based on first information, where the first information is sensing-related information; and sending, by the first device, the first signal.

The invention provides a communication method, a communication device, a computer readable storage medium and a computer program product. The communication method comprises the following steps: sending an environment energy supply Internet of Things AIoT instruction to N reader-writers in at least one reader-writer, wherein the N reader-writers are determined according to the information of at least one reader-writer and / or the information of target equipment, and the target equipment is equipment matched with the N reader-writers. According to the scheme provided by the invention, the communication success rate between the reader-writer and the target equipment is improved, and the receiving and transmitting reliability is improved.

The invention relates to the technical field of service signaling, in particular to a voice call data analysis system based on cloud computing, which comprises a signaling acquisition module, a stability evaluation module, a dynamic compression module, an abnormal track clustering module and a cloud feature library module. According to the method, link multi-dimensional parameters are collected through distributed nodes and stored in a time slice mode, a continuous three-hop rate difference is calculated through a sliding difference value, path stable segmentation is accurately recognized, time delay in a mean value compression screening segment is generated to generate feature vectors to reduce redundancy, cloud K-means integrates state duration, timeout rate and retransmission times to detect trajectory offset, and abnormal clustering labels are constructed. Time sequence association storage and elastic architecture dynamic screening path segments reduce invalid data processing amount, compression mean reduces calculation complexity, multi-dimensional clustering improves detection precision, a time window optimizes a storage structure, a sliding difference enhances fluctuation capture capability, elastic storage improves mass data access efficiency, and an end-to-end quality analysis closed loop is formed.