498 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 invention belongs to the technical field of intelligent control equipment, and particularly relates to an intelligent room system for optimizing sleep and a working method thereof. The system comprises a data acquisition and monitoring module used for acquiring various physiological data and environmental parameters when a user moves; the machine learning prediction and evaluation module is used for analyzing, predicting and evaluating the collected data through a DNN technology; the environment control module is used for automatically adjusting environment parameters according to the current demand and the sleep stage of the user; the sleep feedback and adjustment module is used for matching the environment information with user perception and controlling the output of the terminal equipment; the central control and suggestion module is used for providing a sleep environment configuration suggestion for the user; and the data transmission module is used for performing wireless data transmission and communication with other modules. The intelligent sleep monitoring system has the advantages that the sleep condition of the user can be comprehensively monitored and analyzed, personalized sleep environments and suggestions are provided, and therefore the sleep quality and life quality of middle-aged and elderly people are improved.

The invention discloses a vehicle control method, a server and a computer readable storage medium. The method comprises the steps that current perception information is acquired, the current perception information comprises user perception information and vehicle perception information, and the user perception information comprises user voice and / or user behaviors; according to the current perception information, determining an intention label, a user intention and candidate function points; and determining a vehicle control instruction according to the intention label, the user intention and the candidate function points. And issuing a vehicle control instruction to the vehicle to complete vehicle control. Thus, by combining the multi-mode current perception information, distinguishing the intention label of the user intention and understanding and reasoning the user intention, the service meeting the user expectation can be actively provided, and the driving experience of the user is improved.

Redirected walking methods are described that may be implemented in virtual reality (VR) systems for guiding or redirecting users' movements within constrained physical environments or in unconstrained physical environments, while the users perceive that they are freely moving about within virtual worlds provided by the VR systems. The methods may involve rendering views of a VR world based at least in part on a user's movements in the real environment, adjusting the views according to the user's position and movements with respect to objects in and boundaries of the real environment, and displaying the adjusted views to the user. In response to visual cues introduced by the methods, the user may adjust their path in the real world environment. For example, a rotation of the VR environment introduced by a shift of one or more views may cause the user to turn in a direction opposite to the rotation.

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 discloses a strategy generation method and system for an intelligent perception service and intelligent equipment. The method comprises the following steps: constructing intelligent perception capability and intelligent agent service of the intelligent equipment; a user perception feature library is constructed according to the intelligent perception ability, and the user perception feature library has user attributes; obtaining perception information of a user according to the user perception feature library; and generating a service response strategy according to the perception information and the agent service, so as to control the intelligent equipment according to the service response strategy. According to the invention, reasoning is carried out through the constructed user perception database and the collected user perception information so as to formulate the corresponding service response strategy, so that the user demand and preference are accurately understood, the intelligent perception ability for the user is improved, and personalized intelligent services are provided.

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.

Provided in the present application are a base station power adjustment method, an electronic device and a storage medium, which are applied to a co-frequency co-time full duplex (CCFD) communication network. The method comprises: on the basis of base station measurement data of a communication network, determining an initial CCFD interference parameter and an initial user perception parameter of each base station in the communication network; under the constraint of a CCFD dimension condition and a user perception dimension condition, optimizing the base station efficiency of the communication network on the basis of the initial CCFD interference parameter and the initial user perception parameter of each base station in the communication network, so as to obtain a target power configuration of each base station in the communication network; and determining a base station power adjustment strategy of a base station group on the basis of the target power configurations of the base stations, so as to adjust the power of some base stations in the communication network according to the base station power adjustment strategy.

The invention relates to a multi-antenna information transmitting method, network equipment and a storage medium, and relates to the technical field of communication. The method comprises the following steps: detecting the downlink congestion degree of a remote radio unit (RRU) and the existence state of a target service to obtain a detection result; determining the working mode of the RRU based on the detection result; wherein the transmitting ports of the RRU in different working modes are in different working states; and sending information to a terminal side through the determined working mode of the RRU. Through the method, the starting of the transmitting port can be adapted to the actual demand of information transmission, and unnecessary starting of the transmitting port can be avoided while the transmitting demand is met, so that the purposes of saving energy consumption and improving user perception can be achieved, and the information transmission effect in a multi-antenna mode is 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.

A method for searching questions and answers can be applied to a scene of end-cloud collaboration, and comprises the following steps: a client sends a query and historical information to a cloud, and the cloud guides the generation of answers of the query according to the historical information so as to obtain answers associated with the historical information. Since the historical information can refract the characteristics of the user using the client, the generated answer better conforms to the perception of the user, and the matching degree of the answer and the user can be improved.

The invention provides a network scheduling method, network equipment and a computer readable storage medium. The network scheduling method comprises the following steps: acquiring current terminal feature information of user equipment (UE) in a target network, and obtaining a predicted user service demand based on the current terminal feature information and a preset user portrait; determining a base station energy consumption prediction set according to a preset base station energy consumption portrait and predicted user service requirements; and performing energy-saving scheduling processing on the base stations in the target network according to the base station energy consumption prediction set. According to the scheme of the embodiment of the invention, the user perception and the energy consumption of the base station can be coordinated, the energy consumption of the base station is reduced under the condition of ensuring the user perception, and the purposes of energy conservation and emission reduction are achieved.

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 virtual machine crashing event processing method and device and a storage medium. According to the method, when a crashing event occurs in a second virtual machine facing a hardware layer of the electronic equipment, a first virtual machine which does not generate the crashing event and bears an operating system temporarily takes over resources occupied by the second virtual machine, the second virtual machine is restarted independently, and after the second virtual machine is restarted, the first virtual machine does not generate the crashing event and bears the operating system. And returning the resources of the second virtual machine taken over by the first virtual machine to the second virtual machine. Therefore, only the second virtual machine with the crashing event is self-recovered, and the electronic equipment is not triggered to restart the whole machine, so that the user perception is reduced, and the user experience is improved.

The invention discloses a vehicle control method, electronic equipment and a computer storage medium, and the method comprises the steps: responding to an operation of starting an anti-carsickness function, and obtaining vehicle information and driving environment information; according to the vehicle information and the driving environment information, power control and vehicle-mounted function control are conducted on the vehicle, and the vehicle-mounted function control is used for adjusting at least one of the view, light, air quality, smell and temperature in the vehicle. According to the technical scheme, after the anti-carsickness function is started, power control and vehicle-mounted function control are conducted on the vehicle according to the vehicle information and the driving environment information, so that at least one of the view, light, air quality, smell and temperature in the vehicle is adjusted, and therefore the driving safety of the vehicle is improved. The vehicle riding feeling is comprehensively optimized from human body perception such as visual field, hearing, smell and touch so as to relieve physiological carsickness pain points, and the perception experience of a user is comprehensively improved.

The invention provides an interest point recommendation method and device for heterogeneous multi-graph representation learning, equipment and a medium, and the method comprises the steps: obtaining a set of users and POIs containing multi-dimensional situation information in a location social network, building a user-POI interaction graph, and extracting feature vector representation of the users and the POIs in an interaction space by adopting a neighborhood similarity measurement method; based on user sign-in time information and text description information, calculating a semantic information similarity distance and a time pattern similarity distance, constructing a user-user perception graph, and learning feature vector representation of the user in a social space; constructing a distance hypergraph by utilizing POI position information, and obtaining feature vector representation of the POI in a position space after dimension reduction clustering processing; and fusing each feature vector representation in the social space and the interaction space as well as the position space and the interaction space, extracting a user representation vector and a POI representation vector, and predicting user preferences by using a neural network model to realize POI recommendation.

The object of the present disclosure aims to reduce power consumption and improve resolution and contrast ratio by implementing a smaller unit block for dimming in the area that the user perceives as the main area.

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.

A review presentation system that receives a selection of a service or a product that a user has not previously purchased or used, receives user information and user perception, generates, based on the user information and the user perception, a provisional review sentence for the selected service or product using a prediction model to simulate the provisional review sentence as if written by the user, and presents, to the user, the generated provisional review sentence and the selected service or product. The user information includes the user's attributes and the user's preferences. The user perception includes results from a comprehensive survey previously given to the user.

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.

A system and method for providing sensory relief from distraction, inattention, anxiety, fatigue, and / or sensory issues to a user in need thereof, the user may be autistic / neurodiverse or neurotypical. The system may be configured to obtain user sensory sensitivity data indicative of the user's visual, sonic, or interoceptive sensitivity, use at least the user sensory sensitivity data to determine mediation data corresponding to a user-specific sensory threshold and a user-specific mediation, store the sensory threshold and mediation data, record sensory input stimuli to the user using one or more sensors, compare the sensory input stimuli to the sensory threshold, and determine a mediation to be provided to the user based at least on the mediation data in response to comparing the sensory input stimuli to the sensory threshold, the mediation configured to provide the user with relief from distraction, inattention, anxiety, fatigue, or sensory issues.

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.