646 results about "User participation" patented technology

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.

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.

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 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 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.

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.

In an embodiment, a system for interactive platform access authorization is presented. The system may include a camera operable to obtain image data of a user. The system may include a processor in communication with the camera. The processor may be configured to receive the image data from the camera. The processor may be configured to extract facial features from the image data using a facial recognition process. The processor may be configured to determine an age estimation of a user based on the facial features. The processor may be configured to compare the age estimation to an age gate. The processor may be configured to authorize the user to engage with a video game based on the comparison.

Systems and methods for determining user intent and providing targeted advertisements using chat robot interactions are disclosed. The system receives user cues during a chat session with the chat robot and generates a response using a large language model. User intent is extracted by analyzing chat conversations using natural language processing and machine learning techniques. The extracted user intent including weighted keywords and concepts is used to create a user intent profile. Targeted advertising content is generated based on the user intent profile, and the targeted advertising content is provided to the user during subsequent platform interactions. The large language model is continuously retrained using the user participation data to improve intent modeling accuracy. User privacy is maintained by limiting context extraction to chat robot conversations. The system enables personalized and related advertising by inferring user intent via dialog interactions.

The invention discloses a virtual power plant instruction decomposition method, system and device and a computer readable medium, and belongs to the technical field of power system regulation and control, and the method comprises the steps: collecting adjustable resource information of a virtual power plant; constructing a virtual power plant user excitation-adjustable margin model based on multi-modal artificial intelligence; constructing a virtual power plant instruction dynamic decomposition model fusing the adjustable margin and the economical efficiency, and issuing different control instructions to each user according to actual requirements on the adjustable margin and the scheduling cost based on the adjustable margin and the control cost of each user; the invention discloses a virtual power plant internal control instruction issuing interaction method based on credit points. According to the virtual power plant instruction decomposition method, system and device and the computer readable medium, the user participation enthusiasm and the virtual power plant resource regulation and control efficiency are improved, the execution precision and economy of instruction decomposition are improved, an efficient and transparent internal instruction interaction mechanism is established, internal friction is reduced, and the overall response speed and stability of the system are improved.

The invention relates to the field of artificial intelligence and big data analysis, and discloses a reading recommendation method and system based on artificial intelligence, and the method comprises the steps: obtaining behavior data and reading data of a user; a diversified recommendation page is set, a diversified page prediction recommendation strategy is executed, and the interest direction of a new user is preliminarily predicted; setting a global recommendation model, and distributing parameters of the global recommendation model to each platform; executing a cross-platform federated learning strategy, and performing noise processing on the parameters by using a differential privacy algorithm; after training is completed, model updating parameters are uploaded, a secure multi-party computing strategy is executed, and a local recommendation model is updated; the average weight of the updated global recommendation model is calculated, and new global recommendation model parameters are generated; and executing a real-time dynamic feedback adjustment strategy according to the feedback of the user on the recommended content, and adjusting the personalized recommended content in real time. The method has remarkable advantages in the aspects of improving the recommendation effect, protecting the privacy of the user, enhancing the participation degree of the user and the like.

The invention discloses an AI-based child story picture book generation method and system, and relates to the technical field of artificial intelligence, and the method comprises the steps: generating a narrative framework through employing a BPOT bidirectional pre-training model, carrying out the filling optimization of detailed text paragraphs through combining reinforcement learning and semantic mutual information, extracting dynamic features based on DCNN and SENet, and generating a child story picture book. And an interactive dynamic effect sequence is generated in combination with the preprocessed corpus, and finally, typesetting is optimized through a Wasserstein distance and a variational auto-encoder to generate a child story picture book. By using a BPOT bidirectional pre-training model, reinforcement learning and semantic mutual information to optimize a narrative framework, semantic age suitability and educational target integrating degree are remarkably improved, a DCNN is combined with SENet to generate an age-suitable interaction dynamic effect, interaction trigger point design is fused, immersion and user participation degree of the picture book are improved, and it is ensured that the picture book integrally presents high-quality narrative consistency.

The invention discloses a marketing strategy optimization method based on consumer group behavior analysis, and the method comprises the following steps: deeply integrating and analyzing multi-source heterogeneous data in real time, such as biological characteristic data, physical environment and spatial data, social contact and content interaction deep analysis data, and voice and dialogue analysis data; carrying out association modeling on the behavior data, psychological characteristics, physiological states and social environment factors, and constructing a dynamic holographic user portrait; a large language model and a multi-mode generation model are utilized, marketing content with high personalization and situation adaptation is generated in real time based on a user portrait and a real-time context, and an interactive co-creation mode of the user and AI is explored; and according to an evaluation result, performing online updating and optimization on each link by using a machine learning algorithm to form a continuously improved closed loop. According to the invention, a more accurate and personalized marketing strategy can be provided, the sense of participation of users is enhanced, and the marketing effect and enterprise competitiveness are improved.

The invention relates to the technical field of psychological assessment, in particular to a psychological state assessment method, system and terminal based on an interactive terminal, and the method comprises the steps: separating voice data and text data of a user into an emotion change sequence; based on the emotion tendency of the emotion change sequence, setting an emotion change quantity, and according to a matching relationship between the emotion change quantity and a dialogue situation, calculating a user response duration; obtaining the participation degree of the user at different moments by obtaining the response frequency corresponding to the response duration of the user; combining the degree of participation, the emotional variation and the emotional change probability into an emotional feature, and deducing an emotional classification and a transition label of the current emotional feature; on the basis of the emotion proportion of each emotion classification, dialogue strategy matching is carried out according to the participation amount of the emotion classification at adjacent moments, and a dialogue strategy is set; and the accuracy and effect of emotion recognition are improved.

The invention relates to the technical field of information processing, and discloses a corpus construction method, which comprises the following steps: finely adjusting a large model according to an interaction corpus associated with functions of an intelligent refrigerator to obtain a target large model; inputting the initial corpus into a target large model to generate corpus variants, and screening and / or enhancing the corpus variants to obtain optimized corpus; and performing similarity sorting on the optimized corpora, and screening out target corpora to construct a corpus. According to the method, the large model for generating the corpus is finely adjusted, and the generated corpus is screened and / or enhanced, so that the corpus quality of the corpus is ensured, on the basis, the corpus is automatically generated through the large model, the process that a user participates in constructing the corpus is reduced, the automatic construction efficiency of the corpus is improved, and the user experience is improved. And timely updating of the corpus is ensured, so that the accuracy of the voice interaction function of the refrigerator is improved. The invention further discloses a corpus construction device, a refrigerator and a computer readable storage medium.

The invention discloses a method for drawing a ship icon in a sea chart based on Canvas. The method comprises the following steps: collecting basic data of a ship; acquiring a ship shape according to the ship state; obtaining the color of the ship shape according to the ship type; converting the longitude and latitude coordinates of the ship position into canvas coordinates; and drawing a ship icon on the sea chart according to the canvas coordinates, the ship shape and the color of the ship shape. According to the method for drawing the ship icon in the nautical chart based on the Canvas, key information such as the type, the speed and the course of the ship is visually reflected on the icon, the visual layering sense of the nautical chart can be enhanced, the ship information can be clear at a glance, and therefore the participation degree and the satisfaction degree of users are greatly improved.

The invention discloses an orthopedic science popularization recommendation system based on smart health, and belongs to the technical field of smart health. Through the immersive interaction module, the user can check and interact in the virtual environment, the health state of the bone and the influence of movement on the bone are known in real time, through dynamic display of the personalized bone model, the user can more visually understand the bone health of the user, and the user experience is improved. The intelligent recommendation module identifies interest points and health requirements of the user by collecting behavior data of the user in the immersive interaction module, pushes personalized orthopedic knowledge content based on the interest points and the health requirements, and helps the user to obtain targeted health suggestions and popular science knowledge, so that the accuracy and effectiveness of health management are improved, and the user experience is improved. The health awareness and long-term attention of the user are improved by enhancing the sense of participation and the education effect of the user, and the user is ensured to obtain health knowledge most relevant to the own condition by analyzing the behavior data and the health condition of the user and pushing the content matched with the health requirement of the user.

The invention is applicable to the technical field of short message transmission, and provides a short message sending test method, which comprises the following steps: aggregating a plurality of test users according to user attributes to form a plurality of user groups, and configuring different short message channels for different user groups; configuring different short message templates for each short message channel, and distributing a plurality of test users corresponding to the short message channels to different short message templates according to a preset distribution proportion; in the testing process, a network simulation method and a user behavior simulation method are adopted, network fluctuation and operation behaviors of corresponding user groups are simulated, testing data are obtained, a multi-target optimization model is constructed based on the performance of a short message channel, common tags of the user groups and the testing data, and a multi-target optimization result is obtained. And obtaining a matching scheme of the short message template, the user group and the short message channel. Through the test method, more accurate and personalized short message service can be provided for the user, the delivery rate and the reading rate of the short message are improved, and the participation degree and the loyalty degree of the user are enhanced.

The embodiment of the invention discloses a non-inductive identity verification method and device in a weak network environment, a medium and equipment, and the method comprises the steps: determining a payment scene recognition result when a payment verification request triggered by a payment terminal in the weak network environment is detected, determining a risk assessment result according to the payment scene recognition result, and carrying out the verification of the risk assessment result. Determining at least one semi-offline identity verification mode based on the payment scene recognition result and the risk assessment result; and performing identity verification on the payment terminal through a semi-offline identity verification mode, determining a semi-offline identity verification result and completing the payment verification request. According to the scheme, automatic identity verification of the equipment in the weak network environment can be realized, the verification process does not need user participation, the identity verification efficiency in the weak network environment is effectively improved, the non-inductive payment experience of the user is improved, meanwhile, the flexibility of the identity verification mode is improved in combination with the matched better semi-offline identity verification mode, and the user experience is improved. And the security of the transaction process is effectively ensured.

The present disclosure provides a search engine optimization (SEO) system comprising a remote server. The remote server comprises a memory with a set of executable routines and a search engine database with multiple fields of applications, each associated with multiple URLs indexed with a user engagement matrix, written data, and a search engine ranking. A processor acquires a web link from a computing device, extracts textual content, analyzes relevancy, and retrieves relevant URLs. The processor evaluates a thematic score, a readability score, and an emotional tone data using NLP techniques, analyzes written data of each URL to determine a topic weight, a legibility weight, and a sentiment tone data, develops a machine learning model, applies the model to recommend content alterations, and renders the alterations at the computing device.

The invention relates to the field of front-end development, and discloses an AI assembly system and method for front-end development, and the system comprises a multi-modal data collection and processing module, an intelligent component library module, a demand understanding and analysis module, an AI assembly module, a code evaluation and test module and a user interaction and feedback module which are in communication connection. The method corresponds to the system. According to the application, data is acquired from a multi-modal data source and preprocessed, component information is stored through an intelligent component library, a preliminary assembly scheme is generated by using natural language processing and machine learning technologies, an AI assembly module can generate and optimize codes according to the scheme, and a code evaluation and test module comprehensively tests and adjusts the codes; the user interaction and feedback module allows users to participate in iterative optimization, an automatic and intelligent front-end development system supporting user interaction is formed, and the problems that in traditional front-end development, components are difficult to integrate manually, the development efficiency is low, and the development process is tedious are solved.

An electronic device for providing a user-participating-type artificial intelligence (AI) training service is proposed. The electronic device may include a user input receiving unit configured to receive, from a user of the service, initial setting user inputs about an initial setting for AI training and to receive an AI training user input for requesting for the AI training. The device may further include a processor configured to provide, through a screen of the electronic device, an initial setting UI (User Interface) receiving the initial setting user inputs and an AI training UI receiving the AI training user input, and a communication unit configured to transmit, to a service providing server, data corresponding to the initial setting user inputs and the AI training user input and to receive, from the service providing server, initial setting data and / or AI training data generated based on the transmitted data.

Techniques are provided herein for providing information during a life cycle of a user's engagement with a product or service. A wireless device is configured to, in response to processing a computer readable artifact after the user has acquired the product or service, transmit a request for first information pertaining to the product or service. A computer is configured to retrieve the first information without regard for the life cycle of the product or service. The computer is further configured to retrieve supplemental information pertaining to the product or service, and provide the first information together with the supplemental information to the wireless device. The supplemental information retrieved varies depending on a current state of the life cycle.