4137 results about "Multi-user" patented technology

Some examples of the disclosure are directed to systems and methods for facilitating display of content and avatars in a multi-communication session including a first electronic device and a second electronic device. In some examples, the first electronic device presents a computer-generated environment including an avatar corresponding to a user of the second electronic device and a first object, wherein the computer-generated environment is presented based on a first set of display parameters satisfying a first set of criteria, including a spatial parameter for the user of the second electronic device, a spatial parameter for the first object, and a display mode parameter for the first object. In response to detecting a change in one or more of the first set of display parameters, the first electronic device updates presentation of the computer-generated environment in accordance with the one or more changes of the first set of display parameters.

Some examples of the disclosure are directed to methods for application-based spatial refinement in a multi-user communication session including a first electronic device and a second electronic device. While the first electronic device is presenting a three-dimensional environment, the first electronic device receives an input corresponding to a request to move a shared object in the three-dimensional environment. In accordance with a determination that the shared object is an object of a first type, the first electronic device moves the shared object and an avatar of a user in the three-dimensional environment in accordance with the input. In accordance with a determination that the shared object is an object of a second type, different from the first type, and the input is a first type of input, the first electronic device moves the shared object in the three-dimensional environment in accordance with the input, without moving the avatar.

A method performed by a first station (STA) may compromise: receiving, from an access point (AP) that has an established transmission opportunity (TXOP) with a second STA, a multi-user request-to-send (MU-RTS) transmission opportunity (TXOP) sharing (TXS) trigger frame, wherein the MU-RTS TXS trigger frame includes: (i) an indication that the AP is sharing the TXOP established with the second STA with the first STA, and (ii) an indication of a duration of the shared TXOP; and transmitting, in response to the MU-RTS TXS trigger frame, one or more uplink (UL) frames within the duration of the shared TXOP indicated by the MU-RTS TXS trigger frame.

The invention provides a remote control method and system for a new energy vehicle charging pile, and the method comprises the steps: collecting a vehicle battery state, a user demand, and the operation information of a power grid and the charging pile, and integrating the information into a standardized comprehensive state variable; dynamically adjusting the initial charging power of the single user according to the health state of the vehicle battery to obtain adjusted charging power; calculating the charging priority of the user by combining the distributed power with a dynamic weight adjustment model based on time decay; receiving a multi-user distribution strategy, and constructing a real-time adjustment variable set in combination with the operation information of the charging pile; and the power grid load change is monitored in real time. According to the invention, on one hand, a flexible solution is provided for personalized demands of users, and on the other hand, efficient utilization and active management of system resources are realized through energy sharing and remote dynamic control, so that main defects in the prior art are overcome, and the system has important technical value and application prospect.

The invention discloses a multi-user energy storage power station charging and discharging control method and system based on electricity price, and the method comprises the steps: arranging a monitoring terminal at energy storage equipment, and collecting the load data of each energy storage equipment; carrying out data preprocessing on the collected load data; constructing a cascade neural network prediction model, training the model by using the preprocessed load data, and generating a regional total load demand prediction value in a future time period; designing a deep reinforcement learning model DRL by using the regional total load demand predicted value to obtain a preliminary power adjustment amount; designing a target function considering the battery aging cost by using the initial power adjustment amount, and determining an initial value range of a coefficient in the target function of the optimization model according to a constraint condition; and a multi-objective optimization problem is considered, a Pareto optimal solution set is obtained based on the initial value range, and a final power distribution scheme is determined. The method can accurately predict the load, optimize the charging and discharging strategy, reduce the power consumption and operation cost, balance the service life of the battery and the economic benefit, and improve the intelligent and efficient level of the energy storage power station.

An autonomous environmental regulation and behavioral monitoring system is disclosed, configured to adapt temperature, lighting, and acoustic conditions based on real-time emotional and physiological data. The system includes a dual-redundant central processor, hierarchical communication networks, multi-angle visual acquisition units, infrared thermometers, and modular environmental subsystems. It detects posture, gestures, facial expressions, and thermal signals to classify user states and apply individualized airflow, light, and sound modulation without relying on external internet connectivity. The system also monitors connected appliances using voltage-based pressure analysis to forecast device degradation. With integrated gesture recognition, privacy-preserving data handling, and predictive adaptation, the invention enables multi-user personalization, long-term learning, and uninterrupted operation within residential, administrative, or healthcare infrastructures.

The invention provides an AI-based multi-user data storage docking and secure transmission method, which comprises the following steps of: acquiring a propagation path of a hot topic according to a multi-modal content association graph, performing fragmentation storage on the propagation path by adopting a clustering algorithm, and generating a fragmentation storage index table; when the relevance of different modal contents is higher than a preset threshold value, determining that the sensitivity grading result is consistent with the multi-modal relevance, performing dynamic rule adjustment by adopting a deep learning model, generating a dynamic auditing rule set, and obtaining boundary judgment parameters of the rule set; and distributing the dynamic auditing rule set and the decision transparency index to each service line by adopting a cross-platform data synchronization protocol according to the auditing decision log, generating a cross-platform consistency auditing standard, and obtaining a synchronization log of standard execution.

The invention belongs to the technical field of power system load prediction, and discloses a cross-dimension multi-scale fusion load prediction method based on multi-user load time-space correlation, which comprises the following steps of: firstly, preprocessing user load statistical data, extracting time sequence dependence and periodic characteristics in a time sequence, and calculating the time sequence dependence and periodic characteristics of the user load statistical data; introducing a channel attention mechanism to adaptively mine key variable information; then, a multi-scale space-time fusion module is combined with frequency domain analysis and a graph convolutional network to realize depth feature interaction under different time scales and space levels; and finally, outputting a load prediction result under a plurality of time granularities in the future through a linear projection structure. Compared with an existing method, the method has the remarkable advantages in the aspects of capturing a complex load mode, improving model prediction precision and enhancing generalization ability, and is suitable for various application scenes such as power consumer energy consumption management and power grid load dispatching.

The invention discloses a virtual-real fusion exhibition display interaction system and a multi-mode perception method, and belongs to the technical field of exhibition display interaction. The system collects audience eyeball fixation points, gesture actions and ambient light data through AR / VR equipment, analyzes coordinates of a region of interest through an eyeball fixation point attention mechanism, a gesture space-time encoder and a multi-modal fusion unit, triggers holographic projection explanation and virtual exhibition stand light and shadow dynamic adjustment (including illumination intensity, color, Gaussian blur and the like) based on a threshold value, and performs real-time display on the virtual exhibition stand. And multi-user collaborative interaction is realized through federal learning. According to the method, reinforcement learning is adopted to optimize an event-driven threshold value, and virtual and real visual splitting is eliminated in combination with ambient light adaptive mapping. The problems of low participation degree, insufficient single-mode interaction information and multi-user cooperation of traditional exhibition are solved, interest analysis accuracy is improved through multi-mode fusion, personalized experience is enhanced through dynamic interaction, the method is suitable for multiple scenes such as museums and science and technology museums, and exhibition intellectualization, immersion and group interaction efficiency are effectively improved.

The invention relates to the technical field of equipment access control, can be applied to business scenes of financial science and technology, medical health and the like, and discloses a multi-user access control method and device of equipment, the equipment and a medium, and the method comprises the following steps: receiving a scanning result containing an equipment identity code and operator identification information; generating a verification token based on a scanning result, embedding a time efficiency parameter, distributing the verification token to a user terminal, receiving user characteristic data, establishing a binding relationship with the equipment identity code and the operator identification information, carrying out time efficiency and integrity verification, generating a verification result, and controlling the equipment access authority and generating an operation record according to the verification result. Through a binding mechanism among the equipment identity code, the operator identification information and the user characteristic data, and in combination with the verification token embedded with the aging control parameter, effective management and control of the operation access behavior under the scene that multiple persons use the same equipment at the same time are realized.

The invention discloses a low-orbit satellite beam scheduling and resource allocation method and device, equipment and a storage medium, and relates to the technical field of communication, and the method comprises the steps: determining the time slot priority of a to-be-scheduled user; dividing to-be-scheduled users into different user groups, and determining a wave potential interference matrix between the user groups; time slot allocation is carried out based on the time slot priorities of the to-be-scheduled users and the beam position interference matrix between the user groups, and a hopping beam spectrum is generated; determining a target to-be-scheduled user corresponding to an available beam in each time slot in an updating period of the hopping beam atlas; and performing resource allocation on each time slot based on the service priority of the target to-be-scheduled user of the available beam in each time slot. Through the above mode, interference isolation and time slot allocation calculation are completed based on user priorities and user grouping, multi-user resource allocation scheduling is carried out under a single time slot, air interface resource information is fully utilized, and the spectrum utilization rate and the system throughput rate are improved to the maximum degree.

The invention provides a cross-platform low-code application development system based on a Flutter framework. Comprising a login registration module, a project management module, an interface design module, a state management module, a route management module, a team management module, a help document module, an AI page design module, a development document generation module, a hardware integration module, a code generation module, a multi-user collaborative development module, a communication module, an online simulator module, an AI generation application module and an interface management module. An asset management module, a developer forum module, an application market module and an application packaging module. The communication module supports various communication protocols and secure transmission modes, and ensures that data exchange applied to cross-platform and cross-system environments is secure and reliable. Through component dragging and graphical configuration, the low-code platform automatically analyzes configuration data to generate an App, a development document and a source code. And meanwhile, multi-person collaborative development is supported, so that the development threshold is reduced and the development speed is increased.

The invention belongs to the technical field of mobile communication, and particularly relates to a task unloading and resource allocation method for edge computing. According to the method, a three-layer network structure is established, a distributed decision framework is constructed through reinforcement learning, the task emergency degree is dynamically evaluated, and computing resources are distributed in a differentiated mode; and task unloading and resource allocation are optimized in combination with an edge-cloud collaborative architecture, so that calculation load balancing is realized. According to the method, aiming at a cloud edge-end collaborative edge calculation model, the total cost of a system is defined as a joint optimization problem of task unloading time delay and energy consumption, the problem model is converted into a Markov decision process, and multi-agent and multi-user oriented deep reinforcement learning algorithm agent near-end strategy optimization (MAPPO) is designed; and obtaining an optimal unloading decision through mutual learning among multiple agents. According to the method, the total cost of the system can be effectively reduced, the rationality of edge computing task unloading and resource allocation decision is realized, and meanwhile, the use experience of a user can be improved.

The invention provides a semantic fusion graphical software development management method and system. The method comprises the following steps: acquiring a multi-user interaction behavior data flow containing an operation track sequence and an interface control triggering time sequence; according to operation track sequences of different users and a time-space association mode of an interface control triggering time sequence, constructing a dynamic semantic map; inputting a hierarchical mapping relationship in the dynamic semantic map into a preset edge computing node, and generating a real-time computing power distribution scheme matched with a logic dependency chain in the dynamic semantic map; analyzing a mapping relationship between a control triggering timestamp and a control type in the space-time association mode, and generating an interface control rendering priority queue; the synchronous regulation and control interface control renders the priority queue and an operation instruction response sequence corresponding to the logic dependency chain, and generates a graphical software development process synchronous instruction set; according to the method, the hierarchy and the dependency chain are fused to form the dynamic semantic graph, the hierarchical operation structure and the logic dependency relationship are constructed, and the high efficiency and the consistency of the graphical development process are ensured.

The invention relates to the technical field of project management, in particular to a project cost data calculation management system and method.The project cost data calculation management system comprises a data acquisition module, a data modeling module, a data fusion and optimization module, a dynamic analysis and early warning module, a cost analysis module and a data storage module; a global cost prediction model is established through standardized processing of acquired multi-dimensional data, and real-time data is dynamically analyzed in a project implementation process to generate a cost control report and an adjustment suggestion. And after the project is completed, the system comprehensively analyzes all cost data and generates a multi-dimensional cost analysis report. The security and expandability of data are guaranteed by adopting a distributed storage technology, and the confidentiality and integrity of the data are ensured through a multi-user authority management function. According to the invention, the accuracy, real-time performance and safety of engineering cost management can be effectively improved, and comprehensive support is provided for cost control and optimization of an engineering project.

A user equipment and a method for performing a multi-Subscriber Identity Module (multi-SIM) operation are provided. The method includes connecting to a first network associated with a first Universal Subscriber Identity Module (USIM) of the UE; receiving, from the first network, a first configuration indicating that the UE is allowed to transmit an assistance information message for switching to a second network associated with a second USIM of the UE, the first configuration further including a configuration of a timer; transmitting, to the first network, the assistance information message, the assistance information message including information of a preferred Radio Resource Control (RRC) state associated with the first network to indicate that the UE prefers to switch from an RRC_CONNECTED state associated with the first network to the preferred RRC state; and starting the timer upon transmitting the assistance information message.

In various embodiments, a computer-implemented method for generating digital content comprises generating a multiparty interface that communicates with at least a trained machine learning (ML) model, a first client device, and a second client device; combining at least a first input from the first client device and a second input from the second client device to generate a composite prompt, transmitting the composite prompt to the trained ML model for execution, receiving a digital content item from the trained ML model that was generated in response to the composite prompt, and displaying the digital content item in the multiparty interface.

The invention discloses a light-operated reconfigurable metasurface for full-space terahertz wave beam regulation and control, solves the problem of how to provide ubiquitous full-space wave beam coverage for multi-user wireless communication application, and belongs to the field of artificial electromagnetic metamaterials. The super subunit comprises N super subunits which are arranged periodically, each super subunit comprises 4 * 4 identical coding units, corresponding codes are '0' and '1' respectively when illumination exists or not, and the phase response difference of the two coding units at 0.7 THz is 180 degrees. Each super subunit comprises five layers, the third layer is used for switching between reflection and transmission, when vanadium dioxide is in a medium state, the super surface is in a transmission mode, and when vanadium dioxide is in a metal state, the super surface is in a reflection mode. The first layer, the second layer, the fourth layer and the fifth layer are used for controlling the amplitude and the phase of the total-space terahertz wave, the conductivity of the photosensitive silicon pattern is changed under excitation of light with different intensities, the phase of the total-space terahertz wave beam is effectively modulated, and one-bit terahertz information coding is achieved.

The invention provides a digital office data synchronization and sharing method and system based on cloud computing, and relates to the technical field of cloud computing, and the method comprises the steps: building a distributed data synchronization system on a cloud computing platform, and detecting the change of digital office data on each terminal device through a real-time monitoring mechanism; when data change is detected, triggering an incremental synchronization algorithm, and only synchronizing the changed data part; historical version information of each data change is recorded by using a block chain-based distributed account book technology, and data version tracking and backtracking are realized; constructing a role-based access control system, and allocating data access permissions to different users; a real-time collaborative editing function is realized, and multiple users are allowed to edit the same digital office data at the same time; establishing a data sharing log system, and recording data access and operation behaviors of each user; and a machine learning algorithm is utilized to analyze a user behavior mode, and related digital office data is automatically recommended.

The invention discloses a multi-user sharing-oriented multimedia network video recommendation method, which comprises the following steps: firstly, constructing multi-user characteristics by utilizing collected program information in a multi-user sharing environment, and constructing a leading user label according to the similarity of the program characteristics and the continuity of user watching behaviors, so that separation of multi-user mixed logs is realized; performing periodic multi-user identification prediction of future sessions; secondly, building a user interest mining model based on a time-varying LinUCB algorithm to learn interest changes of a user for each program theme, and enhancing the personalized ability and efficiency of a recommendation system from three aspects of parallel calculation, adaptive control of an exploration coefficient and incremental updating based on LSTM; and finally, establishing an article quality model based on a non-time-varying LinUCB algorithm to further ensure the program quality, and integrating the two algorithms into a final recommendation system model by adopting a cross weighting strategy to form a final program recommendation list. The novelty and accuracy of the recommendation result are ensured.

The invention provides a multi-party collaborative anti-quantum signature method and system based on homomorphic Hash, and relates to the technical field of digital signatures, the system comprises a plurality of participants and a verification party, and the method is specifically as follows: each participant generates a pair of public and private keys, the public key is composed of a total public key, a total signature matrix and a total Hash matrix of all participants; based on the public and private keys, all participants perform multi-party signature on the target message through a homomorphic hash function, and a generated signature is composed of total hash challenge values of all participants, total response vectors of all participants and commitment value high-order difference values of all participants; according to the signature, the verifier recovers the high order of the total commitment value, further calculates the total hash challenge value, and verifies the validity of the signature through comparison of the total hash challenge value; according to the method, multi-user collaborative signature is realized, and the security of resisting malicious opponents under a quantum computer is obtained.

Systems, methods, and apparatuses are described for enhancing a user experience in event live streaming applications such as video conferencing systems. In an example, first and second virtual meetings are scheduled, each meeting scheduled to include a presentation of the same document. The document is stored in a cloud storage and is associated with both the first meeting and the second meeting. During the first meeting and the second meeting, respective virtual meeting communication data is captured and stored in the cloud storage as metadata associated with the document, and associated with the respective first or second meeting during which it was captured. After the meetings conclude, a user accesses the document and is presented with an option to view the metadata associated with the first or second meeting.

The invention belongs to the technical field of intelligent control, particularly relates to a deep learning-driven intelligent home scene dynamic adaptation method, and aims to solve the problem that an existing intelligent home system is difficult to realize high-precision personalized scene adaptation in a multi-user and multi-device environment due to dependence on a static rule. The method comprises the steps of collecting multi-source heterogeneous user behavior data and performing semantic enhancement preprocessing, constructing a hierarchical time sequence behavior coding model to extract local time sequence dependence and cross-equipment long-range association features, clustering to generate a dynamic scene prototype and mapping the dynamic scene prototype into an executable condition-action rule, after the rules are deployed, a closed-loop optimization mechanism is constructed through explicit and implicit user feedback, and online incremental updating and self-adaptive evolution of the behavior model and the scene rules are achieved. According to the technical scheme, the user complex behavior mode can be deeply understood, the scene adaptation precision is continuously optimized, the individuation level, logic consistency and system robustness of intelligent services are improved, and meanwhile privacy safety and real-time response are guaranteed through edge calculation.

The invention relates to the technical field of charging pile management and power dispatching, and particularly discloses a charging pile operation management method and system. The method comprises the following steps: acquiring charging request data and power grid load data, and generating and cleaning a task vector data set; predicting a charging demand based on the data set and generating electricity price gradient information; a multi-objective optimization scheduling function is constructed and solved, and a task allocation scheduling scheme is generated; executing power control according to the scheduling scheme and collecting charging state data; executing dynamic contract charging and incentive generation according to the state data; and finally, performing Hash packaging and privacy processing on an execution result, and performing uplink to generate a credible record. According to the method, the resource allocation efficiency and the charging incentive intelligence level in a multi-user multi-period concurrent charging scene can be improved, and efficient cooperation and credible execution of the whole charging scheduling and settlement process are realized.

The invention discloses a VR teaching experience enhancement system and method, and belongs to the technical field of virtual teaching, and the method specifically comprises the steps: collecting the position data and posture data of a trainee in a VR environment, building a multi-user coordination interaction model based on the position data and posture data of the trainee in the VR environment, and carrying out the interaction of the multi-user coordination interaction model. The method comprises the following steps: acquiring training participants, identifying an interaction relationship and an interaction event among the training participants, generating tactile feedback data corresponding to the interaction event based on the interaction event, performing calibration processing on the tactile feedback data, and synchronously sending the calibrated tactile feedback data to VR equipment of the training participants, the calibration processing comprises adjusting the tactile feedback data based on the spatial propagation difference quantity and the tactile feedback time offset value of the trainees; according to the invention, when multiple trainees cooperatively operate the same virtual object or scene, consistent and real-time tactile response and spatial perception can be obtained, and the teaching experience in a multi-person cooperation scene is improved.

The invention discloses a virtual reality interaction method and system applied to classical famous picture display, and particularly relates to the technical field of virtual reality interaction. Multi-dimensional high-definition image acquisition and composition element three-dimensional modeling are performed on a painting, a cultural context label system is constructed in combination with historical data, a fixation point, an action posture and a staying behavior of a user are perceived in real time, accurate matching of a user behavior and a semantic label is realized, and multi-modal interaction feedback content consistent with the style of the painting is generated, so that the user experience is improved. And typical paths and misunderstanding areas are identified through clustering analysis of multi-user behavior data, and context tags and response logic are dynamically optimized, so that personalized recommendation and semantic guidance are realized, the understanding depth and immersion experience of the users on classical art are effectively improved, and the cultural expression ability and intelligent adaptability of the system are enhanced.