87 results about "Users perceptions" patented technology

The invention discloses an AI-based creative thinking auxiliary generation method and system, relates to the technical field of artificial intelligence, and solves the problem of inaccurate sound and picture matching in a traditional method by performing timestamp alignment and feature extraction on audio data and a visual image frame and calculating the correlation between the audio data and the visual image frame by using a cross-modal attention mechanism. According to the method, user eye movement track data is introduced, real attention points of a user are mapped into a visual sequence, and an optimized weight matrix is generated by constructing attention masks and fusing model attention weights, so that a generation result is more in line with perception key points of the user. And meanwhile, a feedback mechanism is established based on the synchronization error score, and when the sound and the picture are detected to be asynchronous, the visual frame timestamp can be dynamically adjusted, so that the self-adaptive correction of the content is realized. On the whole, the method has remarkable advantages in the aspects of improving modal alignment precision, enhancing user perception consistency and optimizing generation result naturalness.

The invention belongs to the technical field of smart travel services, and particularly provides a smart culture guide system based on AR and a knowledge graph. The core of the system comprises an AR-cross-culture interaction module and an AR-dynamic user perception and experience optimization module. The AR-cross-culture interaction module calls a cloud culture knowledge map and three special maps of behaviors, interests and knowledge planes to extract user features by constructing a multi-language semantic mapping library, generates a personalized culture semantic request packet, generates an adaptive explanation text and binds the adaptive explanation text to an AR model for pushing; the AR-dynamic user perception and experience optimization module evaluates the knowledge understanding degree and experience feeling through a multi-dimensional model, and dynamically adjusts the explanation content depth and the AR presentation form. The system realizes multi-language and personalized AR guide in a cross-culture scene, and effectively improves user culture knowledge understanding accuracy and interaction experience stability.

The invention relates to the technical field of Internet of Vehicles and big data processing, and discloses an Internet of Vehicles user perception method and system based on multi-modal data fusion and dynamic portray.The method comprises the following steps that a vehicle terminal collects operation, interaction and environment data and sends the data to a cloud; the cloud access module cleans and vectorizes data; the real-time calculation module generates a fused context feature by using sliding window aggregation and spatial association; the offline module outputs long-term preference and attribute correction characteristics; the dynamic portrait module combines the above characteristics, and constructs a user portrait comprising basic attributes, real-time states and intention labels by using a rule discrimination and deep learning double-track architecture and an adaptive weighting algorithm; and generating and issuing a control instruction according to the matching rule. According to the invention, through spatio-temporal data alignment, static attribute dynamic correction and intention real-time prediction, the problems of portrait lag and prediction delay are solved, and the accuracy and active perception ability of the Internet of Vehicles service are improved.

The invention provides a communication method and device and a computer readable storage medium, relates to the field of communication, and aims to obtain a personalized package so as to effectively improve the service experience of a user. The method comprises the following steps: a network data analysis function sends multi-dimensional perception data to an operation agent, wherein the multi-dimensional perception data comprises data obtained by carrying out at least one of the following processing on data reported by a plurality of network function network elements by the network data analysis function: network perception processing, user perception processing or service perception processing; correspondingly, the operation agent receives the perception data and generates a personalized package based on the multi-dimensional perception data.

The invention relates to the technical field of wireless communication perception, in particular to a user perception method based on a multi-layer intelligent omnidirectional metasurface, and proposes to realize accurate perception of reflection and refraction user orientations by utilizing heterogeneous characteristics of propagation paths on two sides of a multi-layer intelligent omnidirectional metasurface structure. Based on the architecture, a user reflection and refraction type judgment algorithm based on uplink pilot frequency information is provided, and the user reflection and refraction types are determined based on the heterogeneous characteristics of user channels on the two sides of the multi-layer intelligent omni-directional metasurface and based on least square optimization problem solving and target function size comparison. The propagation path angle estimation algorithm specifically comprises the following steps: firstly, based on uplink pilot frequency information, designing a channel estimation algorithm comprising alternating optimization, constant-rank manifold optimization, convex relaxation and other methods to estimate and obtain a channel matrix by utilizing channel constant-rank and angular domain sparse characteristics; and finally, based on a user type determination result, obtaining user angle information based on each channel matrix by using an orthogonal matching pursuit algorithm.

The invention discloses an analysis method for 5G network user perception improvement based on wireless intelligent arrangement, and the method specifically comprises the following steps: 1, the perception of an online user terminal is evaluated in real time, and the perception evaluation comprises the multi-dimensional evaluation of the data transmission congestion state of the user terminal and the wireless channel quality; and 2, when the perceptibility evaluation result indicates that the user experience is degraded, a wireless intelligent arrangement decision is triggered, and the decision is based on the service requirement, the terminal capability and the space-time position of the user terminal. According to the analysis method for improving 5G network user perception based on wireless intelligent arrangement, through AI-driven dynamic resource scheduling and in combination with a predictive network self-optimization function, the end-to-end time delay of low-time-delay services such as high-definition video calls, cloud games and VR / AR is guaranteed to be lower than 20 milliseconds, the lagging phenomenon is remarkably eliminated, and the user perception is improved. Seamless service continuity guarantee is achieved, and measurement-free switching is achieved through a wireless fingerprint grid knowledge base.

The invention relates to the technical field of elderly people literacy training, in particular to a cognitive-driven elderly people AI literacy immersive training system and method. Comprising a user perception and interaction module, a behavior analysis and emotion calculation model, a cognitive modeling module, a self-adaptive teaching content generation module, an immersive learning environment module, an emotion accompanying and feedback module, a learning effect evaluation and progress tracking module and a remote cooperation and support module. The presentation mode, rhythm and difficulty of the teaching content are dynamically adjusted through the cognitive modeling module and the self-adaptive teaching content generation module, a customized learning path is generated for each user, the personalized learning mode is beneficial to improving the learning efficiency, it is ensured that the elderly user can learn according to the rhythm and ability of the elderly user, and the learning efficiency is improved. Therefore, learning motivation and confidence are enhanced.

Embodiments of the present application disclose a resource scheduling method, a terminal device and a storage medium. The resource scheduling method comprises: obtaining current application scenario information; selecting a corresponding user perception model according to the current application scenario information; the user perception model represents a corresponding relationship between a user perception score and a time delay; determining a pre-configured reference point corresponding to the user perception model; and performing model conversion on the user perception model based on the pre-configured reference point to obtain a performance factor and time delay corresponding relationship; determining a real-time performance factor corresponding to a real-time time delay based on the performance factor and time delay corresponding relationship, so as to adjust the performance capability of a frequency adjustment scheduling mechanism by using the real-time performance factor when the real-time time delay arrives.

This disclosure relates to a user perception optimization method, apparatus, device, medium, and product in the field of edge computing technology. The method includes: constructing a user perception optimization system model with the goal of enhancing the perception of all users through task processing mode selection; transforming the user perception optimization system model into a user perception quality maximization problem based on Markov decision processes; and employing a proximity policy optimization method within a deep reinforcement learning framework to obtain the optimal task scheduling strategy for user perception in the Markov decision process user perception quality maximization problem. This disclosure establishes a dynamic task scheduling model for user perception in edge computing networks, achieving an accurate description of the user perception problem. Based on the Markov decision process user perception quality maximization problem, it uses a proximity policy optimization method within a deep reinforcement learning framework to intelligently derive the optimal task scheduling strategy, ensuring the perception experience of each user throughout a continuous period.

The application provides an abnormality processing method, device and equipment of a network, performance index data and service index data of each network element are obtained from a performance index database and a service index database respectively, detection of core network abnormal indexes and cause positioning analysis are realized according to the obtained data by using an Isolation Forest algorithm model and an AutoMap algorithm model, the deficiency of manual experience is avoided, real-time online detection is realized, network problems are discovered in time, network healthy operation is ensured, and user perception is improved.

The embodiment of the invention provides a mobile terminal service availability inspection method based on system state matrix driving, which belongs to the technical field of physics, and specifically comprises the following steps: constructing a system service state matrix; detecting a structure dimension, a behavior dimension, a signal dimension, an abnormal dimension and a user perception dimension by using a multi-modal probe system, mapping detection results into corresponding discrete state values, and filling and updating a system service state matrix according to the discrete state values; dynamically deciding a subsequent inspection path and a detection priority by combining a real-time environment state and a user behavior mode of the mobile terminal on the basis of each dimension state value filled in the system service state matrix and a predefined association rule; and controlling the multi-mode probe system to execute a corresponding detection action according to the inspection path, and generating an availability evaluation result of the target system service based on the final state of the system service state matrix. Through the scheme disclosed by the invention, the inspection efficiency, accuracy and adaptability are improved.

This application provides a data processing method, apparatus, device, and storage medium. The data processing method includes: acquiring a target application to be recommended and notification element data of the target application; determining the application recommendation weight of the target application based on the application access duration and application access frequency; determining the notification recommendation weight corresponding to the notification element data based on the element feature weight of the notification category feature corresponding to the notification element data and the application recommendation weight; responding to a notification recommendation request triggered by a target recommendation component, generating and displaying a target recommendation interface corresponding to the current interaction scenario based on the notification element data and the notification recommendation weight. This achieves multi-dimensional determination of the notification weight of each notification content, and then outputs interactive notification element data in a personalized manner based on the notification weight, improving the accuracy and flexibility of notification content recommendation, reducing the efficiency of user perception of notification content, and avoiding the omission of important notification information.

The application provides a point of interest recommendation method and device based on heterogeneous multi-graph representation learning, equipment and medium, the method comprises the following steps: obtaining a user and a POI set containing multi-dimensional context information in a location social network, and establishing a user-POI interaction graph; using a neighborhood similarity measurement method to extract feature vector representations of the user and the POI in the interaction space; based on user check-in time information and text description information, calculating semantic information similarity distance and time pattern similarity distance, constructing a user-user perception graph, and learning feature vector representations of the user in the social space; using POI location information to construct a distance hypergraph, obtaining feature vector representations of the POI in the location space after dimension reduction clustering processing; fusing the feature vector representations in the social space and the interaction space, and the location space and the interaction space, extracting user representation vectors and POI representation vectors, and using a neural network model to predict user preferences to realize POI recommendation.

The invention discloses a social perception maximization method based on differentiatable graph optimization, and relates to the technical field of data mining and network analysis, and the method comprises the steps: obtaining social network cascade data, and constructing a weighted bigraph of a user perception event; constructing a social perception forward propagation model according to the weighted bigraph, defining an activation state variable for each user, defining a total activation amount for each event, and introducing a function to evaluate the perception quality of each event; the activation state variables of all the users form an activation vector, the process of searching the optimal activation vector is constructed into a differentiable optimization task, and the optimization target is to maximize the perceived quality sum of all the events; and according to the optimal activation vector, generating a final seed user set as an optimal solution for maximizing social perception. According to the method, the problems of local optimization and model simplification in the prior art are solved, global optimization is realized, and the user influence can be accurately modeled.

The present invention relates to the field of knowledge graph construction, and specifically to a policy knowledge graph construction method and system based on digital human interaction data analysis. The policy knowledge graph construction system based on digital human interaction data analysis includes: a knowledge graph preliminary construction module, a first graph update module, a second graph update module and a digital human interaction module. The present invention realizes the dynamic maintenance of the policy knowledge graph throughout its life cycle by real-time monitoring of changes in policy source web page content and deep mining of questioning information in digital human interaction data; on the one hand, it accurately captures web page policy update events and automatically completes knowledge injection in combination with a semantic unit matching algorithm; on the other hand, it uses conversation semantic analysis to extract conflicting features of user questions in interaction data, and triggers graph correction after confidence assessment and multi-level verification, ensuring that the end-to-end timeliness from policy release to user perception is controlled within a reasonable period, significantly improving the policy response accuracy of digital human services.

The invention provides a method and system for positioning a user communication exception root cause by fusing multi-dimensional data, and belongs to the technical field of mobile communication and big data. The method comprises the following steps of: searching a corresponding user call record by taking a user ID (Identity) of an abnormal call as a trigger; determining a user call record key data item sub-root cause and a corresponding optimization scheme; determining network elements related to the abnormal call, setting feature data items of the network elements, and obtaining sub-root causes of the feature data items of the corresponding network elements and corresponding optimization schemes; setting the weight of each sub-root cause, and merging the sub-root causes according to a sub-root cause merging rule to obtain a merged root cause list and the score corresponding to each sub-root cause; and finally outputting a final root cause and optimization suggestion. The method has the advantages of being few in training samples, accurate in positioning, low in computing power consumption, easy to expand, suitable for multi-system networks from 2G to 6G and the like, capable of improving network optimization efficiency and user perception and capable of providing a solution for user-centered network optimization.

The application discloses an edge computing key management method for IoT user perception data trusted on-chain, and belongs to the field of mobile edge computing data security transmission. The distance priority of an IoT user intelligent device and an edge center server is designed, a key with higher distance priority is saved, the connectivity of an external edge center network of a blockchain and the performance of the IoT user intelligent device against capture are improved. The optimal division of a tree structure acyclic graph of a mobile edge network is calculated, the edge network is divided into a plurality of sub-edge networks, the IoT user intelligent device in the sub-edge network can quickly verify the intelligent device of a mobile IoT user moving into the sub-edge network, and the double-spending attack in the blockchain network can be resisted. Compared with four kinds of blockchain key management methods based on mobile edge computing in the past three years, the method provided by the application reduces the calculation cost, communication cost and storage cost in the key management method.

This application discloses a method, apparatus, and non-volatile storage medium for determining user satisfaction with a carrier network. The method includes: acquiring user perception data about the carrier network collected from multiple channels; determining a user feature wide table based on the user perception data, the user feature wide table recording perception features corresponding to user information; classifying the perception features in the user feature wide table to obtain user preference groups and grouping features for each user preference group; determining the target user preference group to which the user to be predicted belongs from the user preference groups; and determining the user satisfaction with the carrier network based on the target user preference group and the perception features corresponding to the target user preference group in the user feature wide table. This application solves the technical problem in related technologies where inaccurate prediction results are caused by neglecting user service preferences when determining user satisfaction with a carrier network.

This invention proposes a real-time risk interception method and an intelligent seal system for intelligent seal usage. The method includes: a data acquisition step S101, collecting user perception data; a risk factor calculation step S102, calculating a real-time risk index value R based on the perception data; and an interception step S103, where if R ≤ T1, the seal usage operation is allowed; if R ≥ T2, the seal usage operation is intercepted and an alarm is issued; and if T1 ≤ T2 ≤ T2, the user is prompted to perform enhanced verification, where T1 is a first threshold and T2 is a second threshold. The inventive concept of this application lies in combining real-time multimodal perception with a dynamic risk fusion model to achieve comprehensive, proactive security assessment and immediate intervention for a single seal usage behavior, considering factors from "identity," "intent," "document," to "environment," thereby ensuring seal usage security.

The invention discloses an anti-polarization refreshing method for screen equipment. The method comprises the following steps: acquiring display information of the screen equipment; based on the display information, executing a preliminary segmentation operation of a dynamic region and a static region, and obtaining a preliminary static region; performing a re-segmentation operation on the preliminary static region, obtaining a target static region, and executing a corresponding target refreshing scheme in the target static region; the problem that in the prior art, a software and hardware anti-polarization scheme easily causes user perception is solved, the balance between the screen service life and the display quality is achieved with lower cost, and meanwhile the user perception during anti-polarization operation is reduced.

The invention discloses a screen control method and related equipment, and relates to the technical field of vehicle-mounted screens, and the method comprises the following steps: in a vehicle OTA updating process, obtaining vehicle state information and passenger perception information; based on the vehicle state information and the passenger perception information, a display control strategy of a target screen during OTA updating is determined, and the display control strategy is used for coordinating occupation of screen resources by a system updating process and a user function process; and performing rendering operation on the target screen based on the display control strategy. According to the method and the device, on the premise of ensuring that the OTA updating task is reliably carried out, the use of the screen function by the user is maintained or adapted to the maximum extent, the technical problems of complete function interruption and poor user experience caused by a traditional full-screen blocking updating mode are solved, the balance between the updating efficiency and the user perception availability is achieved, and the user experience is improved. And the user experience of the intelligent cabin during the system maintenance period is improved.

The invention provides an admission control method and device in a high-load scene. The method comprises the following steps: acquiring an admission request message sent by target terminal UE; judging whether a target cell can admit the target UE according to the admission request message; and under the condition that the target cell cannot accept the target UE, performing admission control based on the current position of the target UE. According to the admission control method and device in the high-load scene provided by the invention, admission control is performed based on the current position of the target UE under the condition that the target cell cannot admit the target UE, so that the situation that the UE cannot access a network in time or cannot be switched to a proper cell in time due to high load is avoided, and the perception of a user is improved.

The invention discloses a service caching method for a caching decision in an edge environment, which relates to the technical field of service caching in edge computing and comprises the following steps: acquiring a service state of a system model and a caching state of an edge server; acquiring a popularity prediction queue of the edge server; respectively calculating delays and energy consumption of the classic collaborative service caching mechanism under several conditions; obtaining an optimization index for informing the reduction of energy consumption for ensuring the service quality of the user; a deep neural network is constructed through a DRL algorithm for learning, so that a cache decision with the minimum overall optimization index value is autonomously obtained; and updating and replacing the cached service according to the caching decision. According to the method, limited calculation and storage resources of the edge server, time-varying characteristics of overall service popularity, particularity of local user perception preference and other factors can be fully considered, and the delay of service processing and energy consumption generated in the middle are reduced on the premise of ensuring the privacy of personal information of the user.

This application provides a method, apparatus, device, and medium for evaluating user perception indicators. The method includes: acquiring subscription data from the same user's business front-end and business back-end, and determining whether the subscription data from the business front-end and business back-end meets the data consistency requirement; if the subscription data from the business front-end and business back-end meets the data consistency requirement, acquiring the user's complaint data; if the complaint data is unrelated to the subscription data, then acquiring a user perception indicator evaluation value based on the user's experience data, wherein the experience data includes at least one of the following service data: call connection rate, MOS value, voice call drop rate, or data service download speed. This application's method combines subscription data with user complaint data, selecting objective parameters to evaluate user perception indicators, thus facilitating improved user experience.

The embodiment discloses a cooperation method and system of communication nodes, including that a first communication node collects specified interaction information, and after adding a cell identifier of a problem cell where the interaction information occurs to the interaction information, sends the interaction information to a second communication node; the interaction information is used to instruct the second communication node to execute a corresponding adjustment strategy according to the received interaction information. The embodiment can make each communication node acquire state information of other related communication nodes in a network in real time without a centralized maintenance network element by fully utilizing an existing communication interface between distributed communication nodes, can effectively reduce the influence of state abnormality or resource deficiency of part of communication nodes or cells thereof in the network on network indexes and related user perception, and thus improves indexes of the entire distributed network.

The application discloses a vehicle control method, a server and a computer readable storage medium. The method comprises: acquiring current vehicle external perception information, wherein the current vehicle external perception information comprises user perception information and environment perception information; determining user demand according to the current vehicle external perception information; determining a target function point according to the user demand based on a preset knowledge base; determining a target operation instruction according to the target function point; and issuing the target operation instruction to the vehicle to control the vehicle to execute the target operation instruction. In this way, the user demand obtained according to the current vehicle external perception information is processed based on the preset knowledge base, the target function point and the corresponding target operation instruction for completing the user demand are determined, and therefore the vehicle function can be effectively controlled, and the efficiency, safety and user experience of driving are improved.

A display system can include a head-mounted display configured to project light to an eye of a user to display augmented reality image content to the user. The display system can include one or more user sensors configured to sense the user and can include one or more environmental sensors configured to sense surroundings of the user. The display system can also include processing electronics in communication with the display, the one or more user sensors, and the one or more environmental sensors. The processing electronics can be configured to sense a situation involving user focus, determine user intent for the situation, and alter user perception of a real or virtual object within the vision field of the user based at least in part on the user intent and / or sensed situation involving user focus. The processing electronics can be configured to at least one of enhance or de-emphasize the user perception of the real or virtual object within the vision field of the user.

The application discloses a tablet computer data analysis method based on virtual reality, relates to the synchronous interaction technical field, and collects virtual reality data by using sensor technology; the virtual reality data is analyzed in view of the perception interaction correlation between a user and virtual reality; a VR self-adjusting mechanism is constructed, virtual space is iteratively updated based on multi-level interaction data collected by a user end; the adjusting effect is evaluated according to a new feedback processing mechanism received by the user; the adjusting effect and the user perception interaction data are visualized and applied to a tablet interface, and a virtual interaction intervention learning mechanism is realized.

The application provides a communication method, device and computer readable storage medium, relates to the field of communication, and can obtain a personalized package, thereby effectively improving the service experience of a user. The method comprises the following steps: a network data analysis function sends multidimensional perception data to an operation intelligent agent, wherein the multidimensional perception data comprises data obtained by performing at least one of the following processes on data reported by a plurality of network function network elements: network perception processing, user perception processing or service perception processing; correspondingly, the operation intelligent agent receives the perception data, and generates a personalized package based on the multidimensional perception data.

The application discloses a kind of service response data table maintenance method, device, equipment, medium and program product.The method comprises: when meeting the update condition of service response data table, obtain the service complaint information in pre-set time interval, and extract abnormal service type in service complaint information;According to service complaint information, trace back user historical service log, and locate the abnormal reason of the abnormal service type according to user historical service log;According to abnormal reason, when all users request the service of the abnormal service type, the proportion value that user perception is abnormal appears;According to proportion value, the response server identification of part or all user identification in service response data table is replaced by the server identification of backup server, and the updated service response data table is obtained.The embodiment of the application, by maintaining service response data table, reduce the inconvenience caused to user due to service interruption or abnormality, improve service quality and user experience.