79 results about "Virtual user" patented technology

An Adaptive Tangible User Interface (ATUI) for use in an extended reality environment in which tangible interfaces are composed in real time based on identified affordances of existing objects in the physical environment and the input tasks of a user. An extended reality system can be provided with instructions executable by one or more processors to perform processing including: generating a representation of the real-world environment within a field of view of the user; identifying physical objects within the real-world environment; generating a set of possible performable gestures afforded by available object affordance factors; determining potential input tasks; composing performable gestures for the potential input tasks; and selecting a physical object for use as an adaptive tangible user interface. Techniques for designing a virtual user interface, overlaying the virtual user interface on a selected ATUI physical object, and maintaining alignment of the virtual user interface, are also provided.

The invention provides an intelligent agent training management method, system and device, and belongs to the technical field of intelligent agents, and the method specifically comprises the steps: taking an interaction demand type between a virtual user and an intelligent agent as a basis, combining the change conditions of interaction user data in different time periods, and carrying out the training management of the intelligent agent; determining an available interaction time period between the virtual object and the intelligent agent, and determining an analysis processing strategy of interaction data between the interaction user and the intelligent agent according to the data of the available interaction time period; according to the method, the interaction management strategy of the virtual object in the time period except the available interaction time period is determined according to the analysis processing result of the interaction data of the virtual object in the available interaction time period and the interaction data between the interaction user and the intelligent agent, so that the updating processing efficiency of the intelligent agent is improved, and meanwhile, the influence on a normal business process is also reduced.

The invention provides a virtual user simulation method and system for dialogue testing, and the method comprises the steps: obtaining a plurality of pieces of effective multi-round dialogue data from a to-be-tested system, and carrying out the multi-label labeling, so as to construct a basic sample data set containing user portrait labels, the key sample data set further comprises user emotion tags; constructing a group optimization strategy model, performing cold start training based on the basic sample data set, and performing intensive training by using a multi-dimensional composite reward function based on the key sample data set to obtain a dialogue generation model with an emotion cognition-verbal skill expression decoupling architecture; and taking a historical round of dialogue of the to-be-tested system aiming at the current interaction as input of a dialogue generation model, and generating a next round of user reply consistent with the user emotion and the user portrait. According to the invention, deep, efficient and automatic adversarial testing is carried out on the task-oriented dialogue system, so that system defects which are difficult to find by a traditional testing method are effectively exposed.

The invention discloses a software performance test system, method and device in a high-concurrency scene, and relates to the field of software testing, the system comprises a scene intelligent construction module used for generating a concurrency scene through a behavior tree modeling and time sequence prediction algorithm according to service demand parameters and historical traffic data; the distributed test environment scheduling module is used for constructing a distributed test environment by adopting a container arrangement technology; the virtual user load generation module is used for simulating concurrent user requests by adopting a coroutine pool technology; the real-time performance data acquisition module is used for acquiring multi-source performance data of the tested software in real time; the intelligent performance analysis module is used for calculating a core performance index according to the multi-source performance data and carrying out anomaly detection and trend prediction; and the performance bottleneck positioning module is used for mining a dependency relationship among the core performance indexes and generating a bottleneck positioning report and an optimization suggestion document. According to the method, the accuracy, the efficiency and the stability of software performance testing in a high-concurrency scene are improved.

The invention relates to the technical field of management systems, and particularly discloses a three-dimensional industrial design material AI intelligent recommendation management system. Comprising a dynamic knowledge graph module, a multi-source perception input module, a neural symbol fusion engine, a situation self-adaptive output module, a self-evolution optimization module, a recommendation rule updating module, a cold start processing module and a multi-target decision module. The neural symbol fusion engine realizes symbol logical reasoning through Transform, the cold start processing module generates a user portrait through gradient embedding and generates virtual user features through cross-map feature propagation, the situation adaptive output module dynamically switches rendering modes according to a design stage, and the self-evolution optimization module performs meta-learning and concept drift detection; through multi-technology fusion and module cooperation, intelligence, precision and high efficiency of three-dimensional industrial design material recommendation are realized, the design efficiency is remarkably improved, and the project landing risk is reduced.

The invention discloses a learning progress updating system, method and device and electronic equipment, and relates to the technical field of education, and the system comprises a learning behavior collection module, a behavior change analysis module, a learning progress mapping module and a learning progress adjustment module. The learning behavior acquisition module is used for acquiring learning behavior data of a target student and a first learning progress of at least one virtual user; the behavior change analysis module is used for determining behavior change data of the target student; the learning progress mapping module is used for performing learning progress mapping on the behavior change data to obtain a second learning progress of at least one virtual user; and the learning progress adjustment module is used for generating progress adjustment information corresponding to the at least one virtual user, so that the at least one virtual user is adjusted to a second learning progress. The learning progress of the virtual user is updated based on the behavior change data, the matching degree between the virtual user and the student is improved, and the accompanying learning requirements of the student in different learning stages are met.

The invention relates to an interactive training data generation method and device, vehicle-mounted equipment, a storage medium and a program product. According to the method, historical dialogue data of a vehicle user is obtained, a virtual user model corresponding to the vehicle user is constructed according to the historical dialogue data, and then the virtual user model is utilized to initiate multiple rounds of dialogues to an initial intelligent interaction model. And after each round of conversation, adjusting an emotion label of the virtual user model according to reply information of the initial intelligent interaction model, generating conversation content of the next round based on the adjusted emotion label, and then generating interactive training data according to conversation data and corresponding emotion labels in the multi-round conversation process, the interactive training data is used for training the initial intelligent interactive model. According to the method, massive interactive training data with emotion tags can be generated, and thus the intelligence of an intelligent interaction model trained through the interactive training data can be improved.

The application relates to the technical field of the cross of artificial intelligence and behavior science, in particular to a market research system based on multi-source data integration and psychological analysis, which comprises a processing module, an RAG module, a retrieval module, a summary module, an analysis module and a verification module; the processing module processes feedback data of market research; the RAG module retrieves to obtain multi-modal data; the retrieval module retrieves to obtain data samples; the summary module extracts data features; the analysis module analyzes the data samples and generates analysis conclusions; and the verification module verifies the results of the analysis module. The application generates multi-modal data of feedback data in the Internet through the retrieval module, and according to the obtained data samples, the analysis module analyzes to obtain analysis conclusions by combining virtual user models of psychology and / or sociology, so that the problem that the system has weak theoretical support and single data dimension is avoided.

This disclosure relates to methods for optimizing virtual user interfaces in a three-dimensional environment. In some embodiments, the computer system changes the level of detail displayed for the corresponding environment. In some embodiments, the computer system applies and adjusts to generate a representation of the physical environment. In some embodiments, the computer system displays user interface objects in a three-dimensional environment with a stereoscopic effect. In some embodiments, the computer system implements light fusion. In some embodiments, the computer system uses visual effects to transition between three-dimensional environments. In some embodiments, the computer system detects movement of the user's viewpoint when displaying a portal to a virtual environment and maintains or stops displaying the portal based on the amount of movement and / or the direction in which the portal is opened. In some embodiments, the computer system outputs different sound effects when initiating the display of different virtual three-dimensional environments.

This application is directed to a method, an apparatus, and a system to, for example, enable a user to interact, manage, and control certain aspects of its own traffic by providing the user with controllable network functions and associated interfaces within the mobile network architecture. In an example method for a user equipment (UE) to control a network service obtained from a network, a control, management, and operation (CMO) function module instantiated in the network may receive from the UE, a request for the UE to control the network service offered by the network. In response to the request, the CMO function module can instantiate at least one network function (NF) configured to be controlled by the UE. The CMO function module can further configure the at least one NF to control the network service in accordance with instructions received from the UE.

The present application relates to the technical field of data analysis, and specifically relates to a user portrait label value analysis method and system, comprising obtaining a first subject user portrait label value mapping to form a first user discrete point group, generating virtual user data to be respectively input into a first subject and a second subject clustering model to form a first simulated discrete point group and a second simulated discrete point group, transforming a vector through space fitting records and identifying an unmatched discrete point group, performing cutting and scaling processing on the unmatched discrete point group and recording a cutting and scaling vector, and obtaining a second user discrete point group through coordinate transformation of the first user discrete point group through the transformation vector and the cutting and scaling vector, and obtaining a user portrait label value of the second subject. The present application can realize user portrait conversion across label systems without sharing original user data, and solve the label matching problem caused by loss of normalized information.

The invention discloses a virtual user card strategy generation method and device, equipment and a storage medium, and relates to the technical field of computers. According to the method, a high-personification first card playing strategy is obtained through output of a supervised learning model, a high-competitive-level second card playing strategy is obtained through output of a strategy header of a reinforcement learning model, and the ending probability of a current card game output by the header is predicted according to an end game of the newly added reinforcement learning model. A fusion coefficient is obtained based on the ending probability of the current card game, so that the influence degree of the first card playing strategy and the second card playing strategy on the final card playing strategy is dynamically adjusted; by organically combining the high performance of reinforcement learning and the high anthropomorphic characteristic of supervised learning, not only can the decision-making ability of the game agent in complex games be effectively improved, but also the card playing style of the game agent can be close to that of a real human player, and the game experience of the real player is improved.

The present application relates to the field of intelligent performance evaluation, and more particularly to a method for self-regulating virtual user number for performance evaluation, comprising: for each collapse point analysis, determining the collapse paragraph extraction method as extracting according to the number of peak points to obtain the collapse paragraph or recording the relevant paragraph corresponding to the target collapse point as the collapse paragraph; determining the cache data state according to the cache amplitude coefficient and the cache difference coefficient of the cache tracing duration corresponding to the collapse paragraph, and determining the effective collapse paragraph according to the cache data state; clustering according to the cache strategy alternation similarity and the cache topology structure similarity corresponding to each effective collapse paragraph to obtain a plurality of paragraph sets; calculating the user characteristic uniformity according to the operation parameters of each user in each paragraph set, and determining the parameter setting strategy according to the user characteristic uniformity; performing a preset number of virtual tests and recording the results. The present application optimizes the virtual user number regulation method, effectively improves the precision and efficiency of performance evaluation.

The application relates to an e-commerce platform commodity sorting method and a cloud platform based on a generative adversarial network, and belongs to the technical field of e-commerce commodity sorting. Features are extracted by receiving user behavior data, a generator is used to output a candidate sorting list, and a discriminator is used to output sorting information. For cold-start commodities, attribute features are acquired to determine the approximate number of competitive products. When the number is lower than a preset value, associated information is crawled to calculate a priority value. Virtual user features are generated by combining a conversion algorithm, and updated sorting information is output after being input into a model. The method improves the sorting accuracy of cold-start commodities, enhances the generalization ability of the model, balances user experience and platform goals, and has significant technical innovation and practical value.

The application provides a determination method of movement guidance information, an electronic device and a movement guidance system, and relates to the technical field of human-computer interaction. The method is applied to the electronic device, and includes the following steps: displaying a first preset image and a collected user image; identifying a deflection angle of a virtual user in the user image; determining a second preset image corresponding to the deflection angle from a demonstration action set, wherein the demonstration action set stores preset images corresponding to different deflection angles; determining movement guidance information of the user according to the user image and the second preset image; and the first preset image and the second preset image are the same or different. Through the technical scheme provided in the embodiment of the application, the accuracy of user action recognition can be improved. In the process of movement exercise, the user does not need to be restricted by the deflection angle, and can select the deflection angle relative to the electronic device according to personal preferences, thereby achieving good user experience.

The invention discloses a virtual social relationship construction method and system based on meta universe. The method comprises the following steps: creating a user personalized virtual image based on user identity information; establishing a social space and establishing emotion connection through the virtual image of the user; personalized recommendation is customized according to the behavior data information of the user; according to the method, the social relation between the virtual users is maintained on the basis of historical record information, the virtual social relation between the users with different virtual images is maintained by designing corresponding social mechanisms in different virtual social spaces, and privacy information and safety of the users can be effectively ensured on the basis of the social mechanisms; and corresponding functions are provided to protect the rights and interests of the users, and meanwhile, a reputation and trust system is utilized to maintain specifications and orders in the virtual social space, so that the rights and interests of different virtual users are further guaranteed, and a healthy and harmonious community atmosphere of the social space is maintained.

Some embodiments of the disclosure are directed to an augmented representation of a first electronic device. A three-dimensional representation of a first electronic device (e.g., an augmented device) is presented using a second electronic device in a three-dimensional environment. The three-dimensional environment includes captured portions of a real-world environment, optionally including the first electronic device. The augmented representation of the first electronic device includes a virtual user interface element representing an extension of the physical display of the first electronic device. The representation of the augmented device includes a display of the augmented user interface. The augmented device is optionally configured to display some or all of the user interfaces operating on the first electronic device. Manipulations of and / or interactions with the augmented representation of the first electronic device are possible.

This application provides a method, apparatus, and device for configuring test scenario parameters, applied in the field of data processing. The method includes: determining a target transaction percentage, a target processing volume per second, and a first number of virtual users; determining a first interval time based on the target transaction percentage, the target processing volume per second, and the first number of virtual users; determining a test value for the transaction percentage based on the target processing volume per second, the first number of virtual users, and the first interval time; and, if the test value for the transaction percentage meets preset conditions, determining the first number of virtual users as the target number of virtual users and the first interval time as the target interval time. This eliminates the need for manual parameter configuration by testers, improving the rationality and accuracy of test scenario parameter configuration and ensuring that test tasks can be completed quickly and accurately.

The application discloses a kind of human-computer interaction interface generation method and system, it is related to computer software technical field.The method is identified interface function module by business logic rule, generates interface element, and after mapping interface element to layout grid, first interface is generated, and then the contact type operation instruction of basic user and user face image are collected, and the first characteristic matrix of basic user is constructed.According to the first characteristic matrix, the second characteristic matrix of the virtual user corresponding to different business scenarios is generated by training the adversarial network model, and the interface priority sequence of each virtual user is calculated by combining the first and second characteristic matrix.When executing task flow, the interface priority sequence of corresponding virtual user is loaded according to non-contact type operation instruction, the second interface is generated, and visual guide mark is added in core task flow.When detecting interrupt instruction, the first interface is restored, the personalized, situational interface reconstruction is realized, and the interaction efficiency and user experience are improved.

An aerosol supply device configured to generate aerosols is provided, the aerosol supply device comprising: a control unit configured to store data describing one or more operating parameters of the aerosol supply device; and a communication interface configured to allow communication between the aerosol supply device and a remote virtual service; wherein the communication interface is configured to receive values ​​of one or more of the one or more operating parameters from data records for virtual objects in a virtual user environment accessible via the remote virtual service.

A system is provided for an integrated infrastructure data monitoring framework. In particular, the system may generate a virtualized community of users based on anonymized and / or virtualized versions of users based on historical user data. Each of the virtualized users may be an artificial intelligence-based agent that may interact with a target user to provide feedback to the user regarding the user's preferences and / or goals. The AI agents may further be interactable with respect to the target user such that the target user may pose queries to the AI agent. In this regard, the system may establish a personalized group of AI agents tailored to the needs of the user. In this way, the system may provide an efficient way to direct the allocation of resources using the AI agents.

Disclosed are a system, a method, and a program for constructing a data set for evaluating a user information customization function of a retriever. The method comprises the following steps: extracting a plurality of queries (Query) and targets (targets) respectively corresponding to the plurality of queries (Query) from sample data; inputting the first cue word into the AI model and outputting an instruction set composed of a plurality of instructions including a virtual user scene; a plurality of queries (Query) and the target (target) corresponding to the plurality of queries and the target (target), respectively, further corresponding to the instruction set, and outputting the plurality of queries and the target (target) as element data; inputting the element data together with a second cue word into the AI model, and performing fine tuning so as to match the target included in the element data with the virtual user scene included in the plurality of instructions; and storing the plurality of fine-tuned element data as a data set.

According to examples, a system for generating and providing organization-bounded spaces for a virtual community of users may include a processor and a memory storing instructions. The processor, when executing the instructions, may cause the system to generate an organization-bounded space; analyze user information to associate a user with the organization-bounded space; enable the user to receive and publish a content item; and implement a security feature for communications associated with an organization-bounded space and / or its associated users. The processor may further determine recommend a group to the user and identify a user representative for the organization-bounded space.

Uplink control channel group and cross-carrier scheduling is disclosed for cooperative communications of a virtual UE. In an aspect, a UE reports a cooperative configuration with member UEs of a virtual UE and reports associations between a plurality of component carriers (CCs) allocated to a cell group and each member UE of the virtual UE. The UE may then receive an uplink control transmission configuration message dividing each member UE into an assigned uplink control transmission group and assign one or more component CCs into one or more CC sets, wherein each CC set is assigned to each uplink control transmission group. The UE may receive an uplink scheduling message from a serving base station, wherein the uplink scheduling message includes an uplink schedule for CCs within the CC set assigned to an uplink control transmission group associated with the UE. Other aspects and features are also claimed and described.

The application discloses a kind of satellite communication system test method, test system and electronic equipment.The application is successfully solved the conflict problem of multiple virtual users sharing single radio channel by virtualizing multiple independent running terminal instances on single physical terminal hardware and with the aid of preset unified back channel resource and time slot conflict arbitration mechanism, to realize the multiple user concurrent test of satellite communication system using real hardware.The method not only covers the complete signal link from the primary station modem radio frequency front end to the high layer protocol processing node, ensures the high confidence and authenticity of test results, but also can be compatible with the introduction of real channel impairment environment, while greatly reducing the cost and complexity of a large number of hardware equipment required by traditional multi-user test, to realize efficient, high-fidelity end-to-end system verification.

The invention relates to a traffic management and control system, method and device, computer equipment, a computer readable storage medium and a computer program product. According to the system, connection establishment between the PCDN server and the real users can be avoided through the estimated number of the real users in the metropolitan area network and configuration of the virtual users with the number exceeding the number of the real users, most of flow is transmitted to the real users through the PCDN virtual users, effective control over the flow of the PCDN is achieved, and the user experience is improved. According to the method, the uplink bandwidth required by traffic transmission is converted into the downlink bandwidth, balanced distribution of network resources of a metropolitan area network is realized, and efficient, high-accuracy and low-cost identification of abnormal traffic and risk traffic in PCDN traffic can be realized through traffic identification of a virtual user side. And the traffic control performance and the abnormity identification performance of the traffic control system are improved.

This invention relates to a method for dynamic identification of low-voltage line-transformers based on electrical characteristics and a real-time correlation matrix. The method includes real-time acquisition of electrical characteristic data from the transformer side and the user side of a low-voltage distribution network; dimensionality reduction of the three-phase voltage data in the user-side electrical characteristic data to obtain a single-phase equivalent voltage sequence; reduction of the single-phase equivalent voltage sequence to obtain multiple virtual user clusters; calculation of the virtual active power and virtual daily electricity consumption time-series data for each virtual user cluster; wherein each virtual user cluster includes multiple real users; solving a joint optimization model based on the virtual active power and virtual daily electricity consumption of the virtual user clusters, and the electrical characteristic data from the transformer side, to obtain a real-time correlation matrix representing the optimal connection relationship between the transformer and the virtual user clusters; comparing the real-time correlation matrix with the historical ledger correlation matrix to perform dynamic identification and anomaly assessment of the line-transformer relationship, obtaining the dynamic identification and anomaly assessment results of the low-voltage line-transformer relationship.

The invention relates to the technical field of clustering analysis, in particular to a layered electric charge collection system and strategy based on artificial intelligence clustering analysis. Comprising a multi-modal data fusion center, an adaptive feature engineering engine, a hierarchical clustering optimization engine, a strategy dynamic matrix module, an intelligent touch scheduling module, an RPA-cognitive collaborative executor, a virtual user portrait laboratory and a federal learning evolution center. According to the method, a dynamic user portrait is constructed through multi-modal data fusion and adaptive feature engineering, multi-scale user grouping is realized by using a hierarchical clustering engine, an arrival path is dynamically optimized based on reinforcement learning and causal inference through strategy execution, and the security and robustness of a strategy are guaranteed through RPA cooperation and a virtual laboratory; finally, a closed-loop intelligent collection system of data perception, clustering and grouping, strategy matching, action execution and effect feedback is formed, the rate of return is remarkably increased, and the operation cost is reduced.

The invention relates to a low-voltage line transformer dynamic identification method based on electrical characteristics and a real-time incidence matrix. The method comprises the following steps: acquiring electrical characteristic data of a distribution transformer side and a user side in a low-voltage power distribution network in real time; performing dimension reduction on three-phase voltage data in the electrical characteristic data of the user side to obtain a single-phase equivalent voltage sequence; reducing the single-phase equivalent voltage sequence to obtain a plurality of virtual user clusters; calculating virtual active power and virtual daily electricity consumption time series data of each virtual user cluster; wherein each virtual user cluster comprises a plurality of real users; based on the virtual active power and the virtual daily electricity consumption of the virtual user cluster and the electrical characteristic data of the distribution transformer side, solving the joint optimization model to obtain a real-time incidence matrix representing the optimal connection relation between the distribution transformer and the virtual user cluster; and comparing the real-time incidence matrix with a historical standing book incidence matrix, and carrying out dynamic identification and abnormity evaluation on the line change relation to obtain a dynamic identification and abnormity evaluation result of the low-voltage line change relation.

In some embodiments, the computer system changes the level of detail that displays the respective environment. In some embodiments, a computer system applies and adjusts to generate a representation of a physical environment. In some embodiments, a computer system displays user interface objects in a three-dimensional environment in a three-dimensional stereoscopic effect. In some embodiments, a computer system implements light fusion. In some embodiments, a computer system transitions between three-dimensional environments using visual effects. In some embodiments, a computer system detects movement of a user's viewpoint while displaying a portal of a virtual environment, and maintains or stops displaying the portal based on the amount of movement and / or the direction in which the portal opens. In some embodiments, a computer system outputs different sound effects upon initiation of display of different virtual three-dimensional environments.