285 results about "User perception" patented technology

The invention relates to the field of knowledge graph construction, in particular 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 comprises a knowledge graph preliminary construction module, a first graph updating module, a second graph updating module and a digital human interaction module. According to the method, the policy source webpage content change is monitored in real time, and the question information in the digital human interaction data is deeply mined, so that the full-life-cycle dynamic maintenance of the policy knowledge graph is realized; on one hand, a webpage policy updating event is accurately captured, and knowledge injection is automatically completed in combination with a semantic unit matching algorithm; and on the other hand, the conflict characteristics questioned by the user in the interaction data are extracted through dialogue semantic analysis, atlas correction is triggered after confidence assessment and multi-stage verification, it is ensured that the end-to-end timeliness from policy release to user perception is controlled within a reasonable period, and the policy response accuracy of the digital human service is remarkably improved.

A system may include a storage device, configured to store computer-executable instructions. A system may include an ear-bud configured to be positioned within an ear canal of a user, the ear-bud comprising: a speaker, a microphone; and one or more processors in communication with the storage device, wherein the computer-executable instructions, when executed by the one or more processors, cause the one or more processors to: obtain a user hearing profile, obtain an equal-loudness hearing profile, receive audio data from the microphone, and generate a second audio data based on a first sound-pressure level, a second sound-pressure level, a first frequency; and cause the speaker to emit the second audio data within the ear canal of the user, such that the user perceives the audio data as if the user has normal hearing.

The invention relates to a lightweight AI outbound model hot switching framework construction method. Defining a runtime context state unit to form an independent data structure; the AI model is divided into modules responsible for process reasoning execution; the module is in communication with the module responsible for dialogue memory and intention tracking state scheduling through a lightweight intermediate interface; establishing a set of semantic alignment mapping table based on the semantic difference between the models; performing semantic label conversion on a current dialogue state through a mapping table, and injecting a pseudo state vector into the new model to reconstruct an initial reasoning condition; calculating a tension score based on the intention hopping frequency, the slot position switching frequency and the user reply uncertainty; if the controller judges that the switching window is a safe switching window, hot switching logic can be triggered; a prediction module is introduced before switching to perform rehearsal on the reachable intention coverage of the new model, and switching is delayed if the risk is too high. The whole model hot switching process is not perceived by users, dialogue continuity and service continuity are guaranteed, the system resource utilization rate is improved, and model scheduling intelligence is enhanced.

The application discloses a 5G network slice access control method based on service type, which comprises the following steps: 1) in a 5G network supporting multiple network slices, the type of a newly arrived service is judged, and the service is divided into a time delay sensitive service and a non-time delay sensitive service; if the service is the time delay sensitive service, step 2) is executed; if the service is the non-time delay sensitive service, step 3) is executed; 2) a bearing slice of the time delay sensitive service is selected; 3) a bearing slice of the non-time delay sensitive service is selected; 4) the next service needing transmission is waited for, and step 1) is executed. The application can minimize the time delay of the time delay sensitive service, realize the relative fairness of the time delay of various services, minimize the transmission waiting time of the non-time delay sensitive service, and improve user perception.

The invention discloses a dynamic credit limit adjustment system and method based on reinforcement learning, and the system comprises a real-time data lake which collects a user behavior flow, obtains a macroeconomic index, and transmits the macroeconomic index to a reinforcement learning decision core; the federated learning engine and each participating mechanism locally deploy an RL agent, upload a model gradient to the coordination server through a security aggregation protocol, quantify the contribution degree of data of each mechanism to the model performance based on an improved Shapley value algorithm for income distribution, and transmit the contribution degree to the reinforcement learning decision core; the learning decision core is reinforced, state space modeling is carried out based on the user behavior flow and the macroeconomic index, and limit adjustment and risk early warning are realized by combining state space modeling output actions; providing an adaptive algorithm; an interpretability engine; the multi-target reward function dynamically balances interest revenue, risk suppression and user life cycle value, gradient limit adjustment avoids user perception mutation, and loss risks are reduced.

The invention relates to a method for dynamically constructing a service quality evaluation system fused with a large language model, which comprises the following steps of: extracting themes, keywords and representative documents from a user evaluation text data set, constructing cue words and inputting the cue words into the large language model to generate candidate primary service dimensions divided by five service dimensions of an SERVQUAL model; the service quality candidate index item list is composed of candidate second-level topics and candidate third-level index items; constructing a multi-channel heterogeneous hypergraph set fusing sliding window co-occurrence and an external knowledge graph; graph structure information is extracted, joint prediction of emotion labels and emotion scores of user evaluation texts is carried out, and topic-level multi-class input factor spaces are constructed to be used for calculating final fusion weights; and performing comprehensive sorting and dynamic screening on the candidate three-level index items to form a multi-level service quality evaluation system index scale. According to the method, accurate modeling of the user perception quality is realized, and the emotional discrimination of the indexes of the service quality evaluation system can be improved.

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 relates to the technical field of intelligent household appliances, and discloses an ultrasonic human sensing method and device for an air conditioner, the air conditioner and a storage medium. The method comprises the following steps: receiving an echo signal of a signal transmitted by an ultrasonic sensor so as to extract spatial characteristics and dynamic characteristics in the echo signal; fusing the extracted spatial features and dynamic features; the fused features are input into a lightweight hybrid neural network model to obtain a classification result, and operation parameters of the air conditioner are adjusted according to the classification result; wherein the classification result comprises the perceived user position and the perceived user behavior state. According to the method, the lightweight hybrid neural network model can respond quickly under the condition of ensuring the accuracy of user perception. Therefore, the real-time control requirement of the user is met and the user experience is improved.

The invention discloses a metering instrument equipment data intelligent acquisition management method based on Internet of Things, which belongs to the technical field of Internet of Things data management, comprises data acquisition, data processing, data storage, data analysis and user display, and solves the problems of unified efficient acquisition and intelligent analysis management of heterogeneous metering instrument equipment data. According to the invention, the technical problem of realizing intelligent collaboration and visual application of multi-source data is solved, multiple metering equipment access modes such as wired, wireless, API and Web services are supported, different manufacturers and communication protocols are adapted, local preprocessing and key event reporting are realized, bandwidth and cloud pressure are reduced, and equipment state prediction and accurate alarm are realized. Data security and access compliance are ensured by combining data desensitization encryption, authority control and OAuth2.0 authentication, and user perception and response capabilities are enhanced by cooperating with multi-channel message pushing.

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 discloses a mobile communication network problem analysis method and apparatus, and an electronic device. The method comprises the following steps: firstly, acquiring complaint data, signaling data and network performance index data in a mobile network management system; the complaint data carries a mobile communication network problem, and the signaling data, the network performance index data and the complaint data are associated through a user identifier; determining a resident area of the user according to the signaling data; and determining a cell with poor user perception quality according to the complaint data, determining a target cell according to the resident area and the cell with poor user perception quality; screening out performance index data of the target cell from the network performance index data; identifying abnormal data from the performance index data of the target cell based on a preset threshold value; and finally, based on the abnormal data, performing root cause positioning on the mobile communication network problem so as to complete the analysis of the mobile communication network problem. According to the method, the mobile communication network problem and the root cause thereof can be accurately identified.

The invention provides a service hierarchical scheduling method and device based on service types, applied to a base station of an operator, and the method comprises the following steps: obtaining a traffic data packet sent by a terminal; extracting a plurality of service-related features of the traffic data packet, and processing the plurality of service-related features of the traffic data packet by using a pre-trained service model to obtain a service to which the traffic data packet belongs; based on the service to which the traffic data packet belongs, determining the service type to which the traffic data packet belongs; determining a guarantee resource configuration parameter of the traffic data packet based on a preset guarantee strategy and the service type to which the traffic data packet belongs; and scheduling the traffic data packet based on the guarantee resource configuration parameter. According to the invention, differential guarantee and scheduling can be carried out on flow data packets of different service types, and the user perception of a wireless network is improved.

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 relates to the technical field of three-dimensional model image data processing, and discloses a three-dimensional model particularization splitting deduction and multi-mode feedback method, which comprises the following steps: carrying out lightweight three-dimensional model reconstruction according to an equipment process structure diagram, and generating a glTF format data packet with a process information embedding characteristic; establishing a virtual three-dimensional scene through a three.js engine, and instantiating a three-dimensional model object in a glTF format; non-uniform granulation processing is carried out on the equipment model by adopting a splitting and deducting mechanism, discrete motion tracks of parts are solved through a response algorithm, and an equipment dynamic decomposition path display effect is constructed; a calibration sensing link framework is established, an interaction response mechanism based on user behaviors is constructed, and a multi-mode visual feedback system of a large screen is achieved; according to the method, the technical bottlenecks of slow model loading, high interaction delay and the like in traditional industrial large screen display are effectively solved, and the dynamic interaction display effect and user perception of an industrial equipment structure are improved.

A computer-implemented method for predicting properties of a plurality of objects in a vicinity of a vehicle includes multiple steps that can be carried out by computer hardware components. The method includes determining a grid map representation of road-users perception data, with the road-users perception data including tracked perception results and / or untracked sensor intermediate detections. The method also includes determining a grid map representation of static environment data based on data obtained from a perception system and / or a pre-determined map. The method further includes determining the properties of the plurality of objects based on the grid map representation of road-users perception data and the grid map representation of static environment data.

The invention discloses a traffic charge pre-sending method, system, device and medium, and relates to the communication field, the method comprises the following steps: obtaining a package selection action instruction of a user, the package selection action instruction comprising a package ordering action instruction and a package replacement action instruction; account book data of a preset period is generated based on the package selection action instruction, and the preset period is determined based on a pre-sending return rate; compressing the account book data of the preset period to generate compressed account book data; and after reaching a charging period, decompressing the compressed account book data to activate the account book data. On the premise that the account period accuracy and the user perception are not affected, optimization scheduling of large-scale account book issuing behaviors is achieved, the method is suitable for high-concurrency account period systems such as an operator, a virtual business platform and an Internet of Things platform, and the method has high engineering practicability and popularization value.

Systems and methods for interacting with virtual objects in a three-dimensional space using a wearable system are disclosed. The wearable system can be programmed to permit user interaction with interactable objects in a field of regard (FOR) of a user. The FOR includes a portion of the environment around the user that is capable of being perceived by the user via the AR system. The system can determine a group of interactable objects in the FOR of the user and determine a pose of the user. The system can update, based on a change in the pose or a field of view (FOV) of the user, a subgroup of the interactable objects that are located in the FOV of the user and receive a selection of a target interactable object from the subgroup of interactable objects. The system can initiate a selection event on the target interactable object.

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 provides a beam forming optimization method for an ISAC system based on a reconfigurable antenna structure, and the method comprises the steps: firstly, designing an energy-saving DFBS based on a TTD reconfigurable antenna architecture based on a downlink terahertz large-scale MIMO ISAC system; the DFBS is switched between the modular MIMO and the uniform MIMO by dynamically controlling the antenna sub-arrays; in the sensing stage, modular MIMO is deployed, and a larger array aperture is realized by using fewer antennas; the beam dispersion effect at the main lobe and the grating lobe is utilized to realize rapid user perception; in the communication stage, uniform MIMO is adopted, and a TTD network is activated to reduce the near-field beam dispersion effect; then, based on the channel state information obtained in the sensing stage, proposing a joint optimization problem of analog / digital hybrid beam forming and TTD network delay so as to maximize a system sum rate; finally, analog beam forming and time delay are designed through a serial time delayer method, and then alternating iteration optimization solution is carried out on digital beam forming.

The invention discloses an FTTR-based equipment control method and system, equipment, a medium and a program product, and belongs to the technical field of smart home. The method comprises the following steps: acquiring an initial equipment control model; the initial equipment control model is trained through a first loss function and at least one second loss function, a target equipment control model is obtained, the first loss function is used for representing the matching degree of the probability value of executing the multiple candidate actions by the equipment and the real action label, and the second loss function is used for representing the matching degree of the probability value of executing the multiple candidate actions by the equipment; the at least one second loss function is determined according to a user preference index, and the user preference index comprises at least one of an equipment operation energy consumption index, an equipment operation safety index and a user perception feedback index; and sending the target equipment control model to the equipment. Through the mode, the problem that the response of a related equipment control system to the fuzzy request has deviation can be effectively solved, and the accurate regulation and control capability of the equipment control system is improved.

The invention discloses a fixed network user network quality control method and device and electronic equipment. The method comprises the following steps of: firstly, obtaining problem data in network operation of a fixed network user; the problem data comprises perception problem data fed back by a user and abnormal performance data monitored by a network side; inputting the perception problem data into a user perception poor quality model to obtain a first quality reason of a user perception level; and inputting the abnormal performance data into a network poor quality early warning model to obtain a second quality reason of a network side performance level, fusing the first quality reason and the second quality reason to obtain a poor-quality root reason of the fixed network user network; and finally, according to the poor-quality root cause, poor-quality order dispatching and problem repair are implemented, so that the network quality of the fixed network user is managed and controlled. According to the method, the user perception and the network performance in the network quality of the fixed network user can be considered, so that the user experience is improved, and the network reliability and service level are enhanced.

The invention provides an audio processing method, electronic equipment, a storage medium and a chip. According to the method, the first distance can be acquired, the first distance filter is determined based on the first distance, and the mid-channel audio signal is processed based on the first distance filter, so that the audio distance perceived by a user is the first distance. Since the first distance is smaller than the first threshold (the first threshold can be considered to be a preset threshold based on the distance of the middle sound channel audio perceived by a user in a related scheme), compared with the related scheme, the method and the device can shorten the distance between the middle sound channel audio signal and the user, and improve the user experience. Therefore, the distance of the middle audio signal sensed by the user is relatively short, and the distance sense of the audio is improved.

Systems and methods include receiving visual content for display on a display device, the visual content including a plurality of layers, the plurality of layers including a background layer and a visual media layer, the plurality of layers being arranged in a presentation layer stack; evaluating the visual content to determine at least one display parameter; determining a desired brightness level for displaying visual content on a display of the display device based on the at least one display parameter; determining an adjustment to a display parameter of the presentation layer stack to achieve a desired brightness level for displaying visual content; generating adjusted visual content based on adjusting the display parameters of the presentation layer stack; and causing the adjusted visual content to be presented on a display device.

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.

A method for characterizing and calibrating a helmet-mounted digital visual augmentation device for a user, wherein the method comprises: with cameras mounted on the helmet, acquiring stereo images of a calibration target; calibrating a position of the user's eyes; with a projection system, projecting structured-light patterns associated with the target on an AR / VR display; acquiring a 3D model of the AR / VR display and obtaining a shape of the AR / VR display; mapping between AR / VR display pixel coordinate and the position in 3D on the calibration target in front of the user's eyes where the pixel is perceived by the user; encoding deviations of the projection system based on the mapping, wherein the 3D model of the AR / VR display is in a same reference frame as the cameras mounted on the helmet; using at least one machine learning model to correct deviations between an image of the target as seen from a point of view of the user's eyes and an image of the target captured by the cameras; and generating a digital twin of the digital visual augmentation device.

An optical subsystem for use in a display system or an imaging system comprises a plurality of reflective surfaces collectively arranged to provide variable control of device-internal path lengths of light coming to an imaging sensor or traveling a path to an eye of a viewer. The optical subsystem can be used to provide multiple images concurrently at different apparent depths as perceived by the user.

The application discloses an emergency communication quality of service guarantee method based on perception coupling, and mainly solves the problem that the existing emergency communication technology lacks integrated scheme design for the perception and communication time delay quality of service guarantee of trapped users. d And the false alarm rate P f ; the P d and P f are fused into the effective capacity formula to obtain the expanded effective capacity; the total expanded effective capacity of the system is taken as a target function, power, a time delay index and a detection probability are taken as constraint conditions to construct an optimization problem, and user power is distributed according to the solving result of the optimization problem. The application can simultaneously meet the communication time delay and detection probability requirements of users, improve the aggregate effective capacity of the system, guarantee the quality of service of user communication and perception, and be used for multi-user communication and perception service in post-disaster rescue scenes.

The application discloses a card display method, and belongs to the technical field of visualization. The method comprises the following steps: in response to a dynamic card display request under a target scene, loading a target container corresponding to the dynamic card, and simultaneously acquiring a resource package associated with the dynamic card; under the condition that the target container is loaded and the resource package is acquired, processing the resource package; and rendering the processed resource package through the loaded target container, so as to display the dynamic card under the target scene. The core of the application is to process the time-consuming container loading and resource package acquisition processes in parallel, break the performance bottleneck of traditional serial loading, significantly shorten the total loading time, improve the loading efficiency, reduce the user perception delay, optimize the user experience, and improve the parallel utilization rate of system hardware resources.