875 results about "User participation" patented technology

The present disclosure relates generally to computer-implemented systems and techniques for leveraging a virtual decentralized database to enable user identity authentication and verification of user activity and associated behaviors on open internet and public web-based and native applications. Techniques are disclosed for user identification profile onboarding using biometrics, frictionless CAPTCHA (Completely Automatic Public Turing Tests To Tell Humans And Computers Apart) processes, passive data capture of physiological and behaviors using device sensors, and cryptographic methods of storing user engagement activity as immutable data files for secure distribution on a decentralized virtual private network. Such technologies operate to establish a high confidence level for user authenticity, communication origin, engagement outcome transparency and clarity of intent for users active on social, commercial, e-commerce and information sharing platforms. More specifically, an unobtrusive passive data capture method of authentication and verification on a secure VPN supports the organic, spontaneous and original experience audiences desire while simultaneously eliminating opportunities for unscrupulous actors to exploit open internet exchanges by inserting fraudulent user accounts, automated bots and other measures that mimic or impersonate live humans, which ultimately undermines user confidence in data safety and erodes mutual trust between people, companies and institutions.

The invention discloses a hierarchical collaborative management method and system for a virtual power plant based on multi-modal deep learning, and the method comprises the steps: constructing a four-dimensional data collection system, and achieving privacy enhancement preprocessing through federated learning and a differential privacy technology; a Bi-LSTM and a heterogeneous graph neural network are adopted to construct a three-mode deep fusion model, the weight is dynamically adjusted in combination with an environment-user dual-drive attention mechanism, and the load prediction precision and the space resource utilization rate are improved; a multi-target scheduling strategy is generated based on a five-dimensional target function and an improved DDPG algorithm, and physical feasibility is ensured through digital twinborn pre-verification; efficient execution and excitation transparency are realized through edge layer FPGA + NPU hardware acceleration and block chain evidence storage; and constructing a user participation ecology by using a natural language interaction strategy engine and a stepped incentive mechanism. The power grid economy, the equipment reliability and the user participation degree are remarkably improved, and intelligent upgrading of the virtual power plant is promoted.

An event entertainment system, according to the present disclosure, includes one or more forms of augmented reality content, an accessory that may be attached to a piece of furniture and / or another location, and a matrix code that helps a user engage, access, interact, and / or play with the aforementioned augmented reality content. The event entertainment system may be used by entities, such as, but not limited to, venues, individuals, and businesses, that operate and / or host events that may involve people and users, such as, but not limited to, fans and participants of an event.

This document relates to personalized image or video processing. For example, the disclosed implementations can identify a designated user of a computing device that participates in a video call with other users. When another person appears in a video feed captured by the computing device, the other person can be removed. This can avoid distractions that can be caused, for example, by family members or pets that inadvertently walk into the field of view while a designated user is participating in a video call. Similar techniques can be employed to remove people other than designated users from still images.

A patient support apparatus for transporting a patient over a floor surface is described herein. The patient support apparatus includes a drive system with a drive member, a user interface arranged for selective user engagement by a user to operate the drive system, and a control system for operating the drive system. The control system includes a processor configured to determine that the patient transport apparatus is traveling on an inclined floor surface, monitor the user interface for changes in user engagement by a user, and operate the drive system to decelerate the drive member to one of a plurality of positions based on the changes in user engagement.

The invention discloses a non-perpetual culture immersive interactive experience device and system based on a virtual digital human, and relates to the technical field of intangible cultural heritage intelligent interaction, and the device comprises a multi-mode sensing module which collects data such as user actions and voices through a depth camera and the like; the non-perpetual knowledge base module stores a non-perpetual knowledge graph and a case library; the digital human modeling engine fuses the inheritor characteristics and the user data to generate a virtual digital human; the immersion interaction engine constructs a cross-platform rendering environment to realize five-sense fusion experience; and the adaptive learning module analyzes the interaction sequence to optimize the digital human behavior, and all the modules cooperate to realize the intelligent interaction experience of non-genetic culture. Through the multi-modal perception module, the digital human modeling module and the like, the immersive interactive experience of the non-perpetual culture is realized, the user behavior can be accurately captured, the characteristic virtual digital human is generated, the five-sense fusion experience is provided, the content can be optimized based on the user interaction, the inheritance and propagation of the non-perpetual culture are promoted, and the participation degree and the sense of identity of the user are improved.

The invention provides a content recommendation method and system based on multi-modal data fusion, and relates to the technical field of content recommendation, and the method comprises the steps: obtaining multi-modal data of a user, and integrating the multi-modal data through a deep learning model to obtain a multi-dimensional user portrait; a comparative learning module is adopted to extract potential interests from historical data of the user; the preference of the user in the aspect of recessive behaviors is learned through a contrast learning model, a recessive interest model is established to obtain comprehensive interest representation, feedback and behavior data of the user are obtained in real time, and a reinforcement learning algorithm is used for adjusting a recommendation strategy in real time to obtain an optimized recommendation strategy; and according to the optimized recommendation strategy, using a user feedback mechanism to collect feedback data after the user participates in real time to train and optimize a recommendation system so as to obtain a final content recommendation system. The invention provides a multi-modal data fusion content recommendation method and system, and solves the technical problem of data singleness.

A data sharing incentivizing method based on a blockchain and an evolutionary game theory, relating to the technical field of data sharing incentivizing mechanisms. The method comprises: constructing a data sharing incentivizing model; on the basis of the data sharing incentivizing model, computing expected gains of users adopting different strategies; computing a replicator dynamics equation on the basis of the expected gains of the users adopting different strategies; and solving evolutionarily stable state points on the basis of the replicator dynamics equation, and analyzing a stable state condition on the basis of the evolutionarily stable state points to obtain a sharing incentivizing scheme. The present invention can improve the user participation rate.

The invention discloses an intelligent power grid new energy consumption management system, and relates to the technical field of intelligent power grids, and the system comprises the following components: bidirectional interaction mechanism construction, an intelligent decision engine, a collaborative optimization scheduling strategy and user participation and incentive mechanism, and visual monitoring and operation and maintenance management. According to the invention, a two-way interaction mechanism between the micro-grid and the main network is constructed, rapid transmission and sharing of data are realized, a scheduling strategy can be rapidly adjusted under emergency and extreme weather conditions through collaborative optimization of the scheduling strategy, continuity and stability of power supply are guaranteed, and meanwhile, the system is convenient to use. The visual monitoring and operation and maintenance management module provides visual system operation state display and intelligent operation and maintenance management, and improves the operation and maintenance efficiency and safety, thereby remarkably enhancing the safety and stability of the power grid and the capability of coping with emergencies.

Systems and techniques are described for predicting one or more behaviors and generating one or more interventions based on the behavior(s). For instance, a system (e.g., an extended reality (XR) device) can obtain behavioral information associated with a user of the XR device and can determine, based on the behavioral information, a likelihood of the user engaging in a behavior. The system can determine, based on the determined likelihood exceeding a likelihood threshold, an intervention. The system can generate (e.g., display or otherwise output) the intervention. The system can determine, subsequent to generating the intervention, whether the user engaged in the behavior and can determine an effectiveness of the intervention based on whether the user engaged in the behavior. The system can send, to a server, an indication of the effectiveness of the intervention for use in determining interventions for one or more additional users.

The invention relates to the technical field of three-dimensional modeling simulation, in particular to a three-dimensional scene generation method and system based on a large language model multi-agent cooperative system, which decomposes a three-dimensional scene generation task into a plurality of sub-tasks and distributes an agent for executing the corresponding sub-task for each sub-task. The plurality of sub-tasks comprise a text analysis sub-task, a planar graph design sub-task, a three-dimensional resource object selection sub-task and a scene combination sub-task, and the intelligent agents are all constructed based on a large language model; and the intelligent agent sequentially executes the corresponding sub-tasks according to the execution sequence of the sub-tasks in the three-dimensional scene generation task so as to generate a three-dimensional scene meeting the task requirements. According to the method, the 3D game scene can be effectively generated from the demand text, human and artificial intelligence interaction can be enhanced in the scene creation process, the real 3D scene creation process can be captured, roles of human team members in 3D scene creation can be simulated, the user participation degree can be improved, and the controllability in the 3D scene creation process can be improved.

An education platform has systems and associated methods for using generative artificial intelligence to generate and present individualized education curriculums based on tracked user engagement with the presented content. The education platform receives a request to provide individualized instruction to a user on a particular subject, and presents first content for a first part of the particular subject to the user. The education platform tracks user engagement with each of the first content using a set of sensors, and determines the user's learning preferences in response to tracking positive engagement that the user has with a subset of the first content of a first type, format, or presentation. The education platform customizes second content for a second part of the particular subject to have more content of the first type, format, or presentation than the first content based on the learning preferences.

The invention provides a design method and system of a touch interaction interface. Wherein user behavior habits are collected, key elements are extracted, a user participation degree evaluation system is constructed, and a behavior habit analysis report is generated; carrying out situation modeling processing by using a situation awareness layout optimization algorithm, carrying out adaptability analysis by adopting an environment adaptation technology, and generating environment adaptation interface configuration; a long-term preference tracking algorithm is used to record and learn personalized preference settings to add personalized components, a progressive interface evolution method is used to carry out progressive evolution processing, an interactive feedback mechanism is introduced step by step, an interactive module is added, and an optimized layout scheme is generated; and constructing a learning library according to the user behavior habits, importing interaction behavior data to perform behavior pre-judgment, adjusting interface elements and a response mode, and generating a touch interaction interface optimization strategy. According to the technical scheme provided by the invention, the man-machine interaction fluency and the user experience of the touch interaction interface are improved.

The invention discloses an intelligent power distribution energy-saving power supply system and method, relates to the technical field of power systems, and solves the technical problems that the user experience is poor due to the lack of consideration of the user participation degree in the prior art, and the efficiency of intelligent power distribution energy-saving power supply is low due to the fact that the electric quantity generated by renewable energy cannot meet the user demand. Obtaining predicted electricity consumption of the plurality of areas through an electric power prediction model; calculating a regional power utilization priority coefficient according to the regional data; the power station state is adjusted according to the predicted electricity consumption and the regional electricity consumption priority coefficient, the user participation degree is considered, whether the generating capacity meets the electricity consumption requirement or not is predicted, regulation and control are conducted in advance, the situation of insufficient power supply is reduced, and the user experience and the power supply efficiency are improved.

Provided herein is an engagement and care support platform (“ECSP”) computer system including at least one processor in communication with at least one memory device for facilitating senior user engagement. The processor is programmed to: (i) register a user through an application, (ii) register a caregiver associated with the user through the application, (iii) generate a senior profile based upon user personal and scheduling data, (iv) build a daily interactive user interface that reflects the senior profile, (v) display the daily interactive user interface at a first client device associated with the user, (vi) cause the first client device to initiate a daily interaction prompt to the user, (vii) determine whether any user interaction was received in response to the daily interaction prompt, and (viii) transmit a daily update message to a second client device associated with the caregiver, including an indication of whether any user interaction was received.

The invention discloses a charging user behavior pattern analysis system and method, and relates to the technical field of electric vehicle charging management, and the method comprises the steps: obtaining and building a multi-source data pool, fusing the multi-source data pool, analyzing a charging behavior pattern of a user, calculating the abnormal behavior probability, building a dynamic scheduling rule according to the charging behavior pattern of the user, and carrying out the dynamic scheduling according to the abnormal behavior probability. According to the method, through multi-source data collection and analysis, the user charging behavior is accurately predicted, resource distribution is dynamically optimized, the charging station operation efficiency and the user satisfaction degree are improved, virtual power plant integration is promoted, and the power generation efficiency is improved. According to the method, a vehicle-to-power grid strategy optimization module is constructed, the user participation power grid peak regulation potential is quantified, regional energy scheduling is optimized, in addition, an anomaly detection and response mechanism is provided, safety and stability are ensured, and the charging service is promoted to develop towards the efficient, intelligent and sustainable direction.

The invention belongs to the technical field of virtual reality, and discloses a virtual rich real environment training system based on benign stress, comprising: a database module for storing cognitive tasks and virtual scenes; the acceptance testing module is used for testing a preset cognitive task of the user and generating a scene acceptance index; and the initial training task generation module is used for generating a training task comprising two groups of scene parameters and one cognitive task according to the index. And the training execution module is used for constructing a dynamically changing virtual training scene according to the two groups of parameters and executing a cognitive task in the virtual training scene. And the training task updating module is used for generating a new training task based on the execution result and the acceptability index. And the training planning module formulates an overall training plan and controls an execution process. Personalized training content is provided by evaluating individual differences of the users, it is ensured that the training difficulty is matched with the capabilities of the users, and the training effect is optimized while the user participation degree and the possibility of insisting in training for a long time are improved.

The invention relates to the technical field of digital marketing, in particular to a digital advertisement putting method based on big data, and the method comprises the following steps: initializing an advertisement model, importing advertisement request time sequence data, carrying out time sequence analysis, adjusting an enqueue rule and a processing rate, calculating request distribution in a differentiated time period, and generating model parameter configuration. According to the invention, through a queuing theory and time sequence data analysis, advertisement time sequence and processing efficiency optimization, time sequence analysis and parameter adjustment, advertisement timeliness is enhanced, user activity peak synchronization is ensured, user participation degree and advertisement effect are improved, and recalculation of service time and estimation of waiting time support real-time monitoring of service efficiency. Accurate matching of advertisement resources and user requirements is achieved, real-time adjustment of strategies and simulation testing rapidly adapt to market changes, the resource utilization efficiency and ROI are improved, and precision and economic benefits of advertisement putting are remarkably improved through fine management and data driving optimization.

Systems and methods for determining video streams for presentation in a user interface (UI) of a video conference are provided. In response to a request of a first user of a video conference platform to participate in video conference, a user priority list associated with the first user is accessed. The user priority list identifies a plurality of users of the video conference platform. Participants of the video conference are identified. The participants include the first user associated with a first client device of client devices of the participants of the video conference. A UI presenting video streams from client devices of at least a subset of the participants is provided for display on the first client device. presentation of each of the video streams in the UI depends on whether a respective participant of the at least the subset of the participants is included in the user priority list.

One example method includes performing sound quality operations. Microphone arrays are used to cancel background noise and to enhance speech. With arrays at each environment of each user participating in a call, a first microphone array can cancel or suppress background noise and a second array can generate enhanced speech for transmission to other users. Thus, for user, the audio signal output by the user's device includes an anti-noise signal to cancel background noise present in the user's environment and enhanced speech from other users.

The invention discloses a concentration training method and system based on multi-modal fusion, and the method comprises the steps: collecting an electroencephalogram signal, an eye movement signal and a head movement signal through a wearable device in a concentration training process, and calculating an electroencephalogram frequency characteristic parameter, an eye movement parameter and a head movement modal parameter in a one-to-one correspondence manner; calculating a concentration score according to the electroencephalogram frequency characteristic parameters, the eye movement parameters and the head movement modal parameters so as to evaluate the concentration; and adjusting a concentration training strategy according to a concentration evaluation result. According to the method, the electroencephalogram, eye movement and head movement signals are collected at the same time through the wearable device, the corresponding characteristic parameters are calculated, the concentration score is comprehensively evaluated, and a comprehensive, accurate and stable evaluation result is provided. On the basis of real-time evaluation, task difficulty and types are dynamically adjusted, challenging and interestingness are ensured, the user participation degree and the training effect are improved, and concentration research and technical progress are promoted.

A social media platform facilitates user interaction through digital environments called “bubbles,” which serve as customizable, collaborative spaces for content sharing and engagement. Users can participate in gamified events such as challenges, races, and raffles within these bubbles. The platform incorporates a blockchain-based reward system that issues digital assets, including tokens and non-fungible tokens (NFTs), based on user participation and performance. Each piece of content shared within a bubble can be assigned its own privacy level, independent of the user's account settings. The system supports role-based access, content moderation, and smart contract integration to ensure secure, transparent reward distribution.

Technology is disclosed to programmatically determine and generate, for a target communication item, a contextual title that is relevant to a user, optimally formatted for ease of indexing and use by certain software applications, and easy for the user to consume. The contextual title is generated based on a comparison of the target communication item and related communication items. In this manner, the contextual title generated for the target communication item is different from existing contextual titles of the related communication items, yet related enough to associate the target communication item to certain related communication items. In this manner, contextual titles are generated without a user having to open or edit metadata associated with the communication item, thereby conserving bandwidth associated with a user engaging with high-bandwidth content from the target communication item and battery associated with consuming and editing the document.

The embodiment of the invention provides a software development method based on artificial intelligence and related equipment. In the embodiment of the invention, an AI software development method and mode are provided, and a user and a technical design document generation agent cooperate to complete a technical design document of a programming task; and the programming agent autonomously performs task planning based on the technical design document, and autonomously executes the programming task based on the planned execution plan. In at least one of the technical design stage or the task execution stage of the programming task, a man-machine cooperation interface is provided, and the man-machine cooperation interface is used for a user to participate in the software development process for the programming task. Therefore, the software development efficiency and the code quality are greatly improved through division cooperation and man-machine cooperation interaction among the intelligent agents.

Systems and methods for facilitating user engagement with units of work assigned within a collaboration environment are presented herein. Implementations may: manage environment state information maintaining a collaboration environment, the environment state information the work unit records including values of an approval state parameter; effectuate presentation of a user interface of the collaboration environment, the user interface displaying individual work unit pages for individual units of work that include a set of user interface elements available for selection by the users, individual user interface elements in the set corresponding to different ones of the values of the approval state parameter; obtain user input information conveying user input characterizing the selection of the individual user interface elements; update the work unit records based on the user input information; and / or other perform other operations.

The invention discloses a smart park platform planning and designing system, and belongs to the technical field of smart city construction. Multi-source static and dynamic data are integrated through the data acquisition and integration module, and the space function planning module and the dynamic resource allocation optimization module construct an optimization model based on core function requirements and resource requirements, so that scientific planning of space layout and resource allocation is realized; the simulation evaluation display module dynamically evaluates the traffic flow, the environmental influence and the resource efficiency by using a three-dimensional digital park model and a multi-dimensional simulation technology, provides a visual and quantitative evaluation result for a planning scheme, effectively reduces the design risk, combines the planning intelligent auxiliary decision-making module and the user participation feedback module, and improves the design efficiency. Through a rule engine and a multi-dimensional comparison model, an optimal design strategy is recommended for the dimensions of cost, efficiency, environment and the like, meanwhile, user requirements are collected and converted into optimization suggestions, a closed-loop optimization process is formed, and the applicability of a planning scheme and the user satisfaction degree are improved.

An online system receives a request to access an interactive geographical map of sources from a client device associated with a user. The system retrieves data describing a geographical location associated with the user. The system identifies one or more sources within a threshold distance of the location and retrieves data including information describing items available at each source. For each source, the system accesses and applies a machine-learning model to predict a user engagement score indicating a likelihood of one or more interactions by the user with a set of items available at the source if the source is included in the map. Based on the score for each source, the system selects a set of sources and generates the map, in which the map indicates the geographical location of each selected source. The map is then sent to the client device, causing the device to display the map.

The invention provides an intelligent optimized arrangement method for a shield construction site. The method comprises the steps that S1, component parameter modeling is conducted on various components of a shield construction site, a knowledge rule base is established, and a component semantic map is established; s2, spatial modeling of a shield construction site and component matching are carried out; s3, on the basis of parameter modeling and rule modeling, constructing a composite target function fusing multiple types of engineering attributes, and outputting a component arrangement scheme meeting a global optimization target, spatial constraint and engineering logic; s4, setting a man-machine collaborative arrangement interface to support a user to participate in adjustment; and S5, based on the component arrangement scheme and the user feedback behavior, calling an arrangement inference engine fusing a historical sample and a feedback learning mechanism, and optimizing the arrangement strategy again. According to the method, the arrangement efficiency and the space utilization rate are improved, the arrangement requirements of complex and irregular sites can be met, multi-target collaborative optimization and conflict automatic detection are achieved, and the method has the arrangement man-machine collaborative adjustment and strategy self-learning capabilities.

The invention relates to the technical field of power supply and demand interaction, in order to realize efficient and economical power dispatching, a micro-grid master-slave game optimization dispatching method considering user flexible load demand response comprises the following steps: step 1, establishing a micro-grid day-ahead supply and demand interaction scene in which a single micro-grid operator participates with a plurality of users; 2, constructing an MGO leader optimization scheduling model considering the uncertainty of the user response power; step 3, constructing a user follower demand response model taking maximized participation DR income as a target function; 4, converting the chance constraint into a deterministic linear constraint and a second-order cone constraint which can be solved; and 5, solving the MGO and the master-slave game model of each user by adopting an analytic expression solving method. The method is mainly applied to power dispatching occasions.