45 results about "Users perceptions" patented technology

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 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.

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 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 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 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 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.

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 embodiments of this disclosure disclose a label layout method based on user perception for rapid positioning in virtual scenes. One mode of specific implementation of this method comprises: determining a user interest corresponding to each scene object, selecting a target perception object from various scene objects to obtain a target perception object set; for each target perception object, performing the following steps: based on a perception time mapping function and the user interest, determining a user perception force; based on viewport coordinates, determining a camera force; determining a sum of the user perception force and the camera force as a user perceived attraction force; based on a dynamic adjustment force and the user perceived attraction force, generating a label acting force; based on various label acting forces, updating positions of various target guide labels.

The utility model relates to a disposable primary filter cover and an air purifier, the whole filter cover is of a barrel-shaped structure, and the filter cover comprises a filter material layer, an elastic band structure and a visual developing area, the filtering material layer is of a main body structure and is used for filtering large-particle pollutants in air; the elastic band structures are arranged at the two ends of the barrel-shaped structure and used for being connected and fixed to the outer portion of a barrel-shaped filter element of the air purifier in a sleeving mode. The visual color developing area is arranged on the filtering material layer and is used for generating color change along with pollution load change, so that the use state of the filtering cover can be observed and judged from the outside. Through a convenient installation structure and a visual prompt function, the use convenience of the air purifier and the perception experience of a user are improved, meanwhile, the main filter element of the air purifier can be effectively protected, and the overall use cost is reduced.

The invention relates to the technical field of data processing, in particular to an intelligent cabinet user perception method and system based on multi-modal perception. The method comprises the following steps: acquiring vibration data and gravity data of the intelligent cabinet in a current interaction time period, and acquiring background vibration data and background gravity data of the intelligent cabinet; determining the initial interaction complexity of the current interaction time period; determining an environmental noise suppression factor of the current interaction time period; determining the real interaction complexity of the current interaction time period according to the initial interaction complexity and the environmental noise suppression factor; and the interactive behavior type of the current user is judged based on the real interactive complexity, so that the user perception of the intelligent cabinet is realized. According to the method, the noise suppression model is constructed, multi-scale entropy analysis is combined, interaction and noise are distinguished more accurately, perception accuracy is improved, false alarm and labor cost are reduced, and reliable user perception support is provided for the intelligent cabinet.

The invention provides a PDCCH (Physical Downlink Control Channel) resource configuration method, network side equipment and a device. The method comprises the following steps: determining use information of physical resources in at least one statistical period; and determining the PDCCH resource allocated to the terminal according to the use information of the physical resource. According to the method provided by the embodiment of the invention, the PDCCH resource is dynamically adjusted according to the use information of the physical resource, and the efficiency and user perception of the network side equipment are effectively improved.

According to examples, a system for supplementing user perception and experience via augmented reality (AR), artificial intelligence (AI), and machine-learning (ML) techniques is described. The system may include a processor and a memory storing instructions. The processor, when executing the instructions, may cause the system to receive data associated with at least one of a location, context, or setting and determine, using at least one artificial intelligence (AI) model and at least one machine learning (ML) model, relationships between objects in the at least one of the location, context, or setting. The processor, when executing the instructions, may then apply an artificial intelligence (AI) agent to analyze the relationships and generate a three-dimensional (3D) mapping of the at least one of the location, context, or setting and provide an output to aid a user's perception and experience.

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.

Embodiments of the present application disclose a CPU frequency adjustment method and device, electronic equipment and a storage medium. The CPU frequency adjustment method can comprise: obtaining a sensing parameter corresponding to a current task load of the electronic equipment; wherein the sensing parameter is a parameter corresponding to a module associated with user perception in the electronic equipment; determining a task type of the current task load according to the sensing parameter, the task type comprising a perceivable type or an imperceptible type; wherein the perceivable type indicates that the current task load is associated with user perception, and the imperceptible type indicates that the current task load is not associated with user perception; determining a CPU frequency corresponding to the current task load according to a frequency limiting strategy corresponding to the task type; wherein a maximum value of the CPU frequency indicated by the frequency limiting strategy corresponding to the perceivable type is greater than a maximum value of the CPU frequency indicated by the frequency limiting strategy corresponding to the imperceptible type. By implementing the method, the problem of application lag can be alleviated.

The invention discloses an energy-saving display method and system for a tablet computer screen, and relates to the technical field related to screen display, and the method comprises the steps: executing pixel-level display driving analysis processing on the content displayed by the tablet computer screen, and constructing a pixel energy consumption contribution matrix based on brightness, color and time sequence changes; performing regional aggregation analysis in combination with user touch interaction position distribution, display content structure features and pixel display staying time sequence features, and dividing a screen display region into strong / weak perception display regions; and configuring a differentiated degradation strategy, and before execution, performing degradation execution verification and display management through a preset human eye visual perception consistency constraint condition. The technical problems of limited energy-saving effect and poor user visual experience caused by extensive screen energy-saving schemes, lack of user perception guidance and incapability of realizing fine energy efficiency management at a pixel level in the prior art are solved, and the technical effects of reducing the screen energy consumption and improving the visual quality consistency and the user visual experience are achieved.

A search and question answering method may be applied to a device-cloud synergy scenario. The method includes: A client sends a query request (query) and historical information to a cloud, and the cloud guides generation of an answer to the query request based on the historical information, to obtain the answer associated with the historical information. Because the historical information may reflect a feature of a user who uses the client, the answer generated in this way better aligns with user perception, improving a degree of matching between the answer and the user.

The application provides a network resource scheduling method and device, computer equipment and storage medium, and relates to the technical field of communication, wherein the method comprises the following steps: classifying the service scene where the user is based on the multi-source perception data of the user, obtaining the context label of the user; calculating the current QoE degradation index of the user based on the real-time network performance data of the user; determining the current service level of the user based on the preset service level classification function, the context label of the user and the current QoE degradation index of the user; determining the current resource adjustment parameter of the resource granularity based on the current service level of the user and the preset resource granularity adaptive scheduling strategy; and performing resource allocation based on the resource adjustment parameter. The technical scheme provided by the application can actively adjust the resource strategy according to the current subjective experience quality of the user, and overcomes the defect that there is a lack of dynamic linkage mechanism between the current service level and the user perception.