232 results about "User - individual" patented technology

The invention discloses a mild cognitive impairment brain rehabilitation training device and system in the technical field of cognitive nerve rehabilitation, and the device comprises a multi-modal data fusion module, a personalized training task generation module, a multi-sensory stimulation presentation module and a real-time adaptive regulation and control module. And the personalized training task generation module is used for dynamically generating a personalized narrative training task fusing the user interest theme and the cognitive training target by utilizing a reinforcement learning algorithm based on the user cognitive weak domain evaluation result and the user personal interest and life narrative content obtained through natural language processing. Clinical data of a patient and real-time electroencephalogram and behavior data are fused, a narrative training task deeply fused with life experience and interest of the patient is dynamically generated, the difficulty of the training task is automatically adjusted according to real-time physiological indexes, meanwhile, seamless connection with a medical system is achieved through digital biomarkers, and the training efficiency is improved. And the precision and compliance of rehabilitation training are obviously improved.

Systems and methods for improving cellular handover performance are provided. A user individual offset parameter (UIO) is provided which may modify a measured signal strength parameter for a particular user equipment, improving handover performance. The UIO may be calculated and optimized such that one or more key performance indicators including signal to interference and noise ratio, handover success rate, and signaling overhead are maximized. A base station may compute or retrieve the value of a UIO for a particular user equipment, and adjust a measured signal strength and quality metric using the UIO. The UIO may be calculated either by the user equipment, the base station, or the core network.

A computer-implemented method includes: receiving a signed challenge from a public key authenticator of a mobile device registered to a financial account of a user; receiving a transaction request and transaction data associated with the signed challenge; determining that the public key authenticator satisfies a basic integrity requirement; receiving stopgap authenticator data including device security data and one or more of the following: a user personal identifier, a user personal credential, transaction history data of the user, and behavioral biometrics data generated at the user mobile device; comparing the stopgap authenticator data to a hidden profile for the financial account to determine that a matching threshold is satisfied; based on the satisfaction of the matching threshold and of the basic integrity requirement, generating a stopgap authenticator token; and transmitting the stopgap authenticator token and the transaction data for real-time transaction approval.

The invention belongs to the technical field of computer server management, and particularly discloses a laboratory collaborative environment-oriented user and data full-life-cycle server management system, which comprises a container virtualization layer, a server management layer and a server management layer, dynamic resource allocation is supported through a state saving-resource reallocation-environment recovery mechanism; the heterogeneous transaction coordination layer adopts a Saga transaction mode to coordinate a heterogeneous system so as to realize cross-system transaction consistency; the data collaboration ecological layer establishes typed management of a personal data volume, a shared software environment volume and a public data set volume, and supports software environment encapsulation sharing and versioning management; and the metadata management layer realizes real-time update and high-performance query of metadata based on a Redis hot update architecture. According to the method, the problems of inflexible resource allocation, incomplete environment isolation, dilemma in authority management and difficulty in data collaboration and recovery in the prior art are solved.

The invention belongs to the technical field of education assistance, and discloses an AI interaction method and system for instantly generating a composition writing thought. Comprising the steps of collecting writing task related input data of a user and performing data cleaning to obtain optimized writing task input data; executing structured semantic analysis on the optimized writing task input data to obtain a composition task intention data set; performing cognitive degree matching on the composition task intention data set based on the personal data of the user, and outputting an adaptive composition writing thought of the user; performing emotional rhythm promotion on the composition writing thought adapted to the user to generate an emotional visual composition writing thought; semantic embedding is carried out on the emotion visualization composition writing thought and newly-added writing requirements of the user, and a complete composition writing thought is obtained; performing feedback evaluation on the complete composition writing thought, and sending an evaluation result and the complete composition writing thought to a preset user terminal; and the writing thought generation efficiency and quality are obviously improved.

Methods for product recommendation are provided. This includes collecting personal user data including profession, gender, size, preferences, user's apparel size, user's address, who the user's friend are, user's friends' information, users' medical records including eyeglass and contact lens prescription information; collecting vendor data including product size, product description, product location, price; and recommending vendor products that best match the users' personal data.

QR codes or the like are used in hardlink applications, by which different users may receive different information in response to a user's interaction with a touchpoint. The content delivered to a particular user in response to a hardlink code or a presented hyperlink may be dependent on the time of the scan, the geographic location of the user, a weather condition at the geographical location, personal information associated with the user, a number of previous scans of the code by prior individuals, and any combination of the these or other variables, which may be determined by an originator of the QR code or other party. User devices may be re-directed to alternate content or network addresses based on one or more programmed conditions.

The invention discloses a user power consumption behavior prediction method based on big data aggregation analysis, and particularly relates to the technical field of power data processing. The method comprises the following steps: constructing a user power consumption behavior matrix by collecting multi-dimensional historical power consumption data of a user; fusing environmental factors such as air temperature, humidity and weather types to generate an enhanced feature map; extracting key behavior nodes of a user through a multi-scale graph convolutional network, and introducing a time attention mechanism to generate a time sensitive weight vector; generating a user individual prediction feature vector in combination with the behavior node and the time weight, and outputting a future power consumption behavior prediction sequence; when the predicted volatility exceeds a set threshold value, model reconstruction and weight updating are triggered; if the volatility is within a threshold value, behavior category identification and prediction result output are completed; the method improves the accuracy and stability of user behavior prediction, has the advantages of being high in period recognition capability, sensitive in fluctuation response and high in adaptive adjustment capability, and is suitable for intelligent power grid load management.

The invention discloses an e-commerce platform cross-channel data fusion and analysis optimization method. User behavior data, transaction data, commodity data and market information are collected in real time from multiple channels (such as official websites, mobile applications, social media and offline stores); performing standardization processing, abnormal value detection and missing value completion on the acquired data, and expanding small sample data by using a data enhancement technology to improve data quality; and encrypting the sensitive data. Through a self-attention mechanism and a deep learning method, correlation and features among different channel data can be accurately captured, so that a more comprehensive and efficient user portrait is generated. The analysis result after data fusion is more accurate, a reliable basis can be provided for platform decision making, the differential privacy technology and the encryption protocol are adopted, and the safety of user personal information and sensitive data is effectively guaranteed. The user trust of the platform can be improved, and the legal compliance of the platform in multiple regions can be ensured.

The invention provides an emotion recognition method and device, and relates to the technical field of emotion recognition. Performing multi-modal feature extraction according to the emotion perception data of the user, determining character features of the user, covering multi-dimensional state information of the user and tracking character changes of the user in real time; the attention weight of each feature item in each single-mode feature and the weight of each single-mode feature are calculated in sequence by taking the character features of the user as guidance, multi-mode fusion features of character perception strongly related to the character of the user are generated, and an emotion recognition result is obtained through an emotion recognition model. The technical problem that the emotion recognition accuracy is limited due to the fact that an emotion recognition method in the prior art only depends on single-modal features or simple multi-modal fusion and ignores individual character differences of users is solved, deep fusion of comprehensive representation of user states and character features of the users is achieved, and the emotion recognition accuracy is improved. And the emotion recognition accuracy and the individual suitability are improved.

Described are systems and methods for providing virtual and remote access to virtual content in a virtual safebox. A computer system includes a virtual vault database for storing a plurality of virtual safeboxes storing digital / virtual content provided by a user. The stored content includes image content representing personal identification documents of the user. The computing device includes at least one processor configured to receive an access request message from a first safebox access computing device and, in response retrieve, from the virtual vault database, the first virtual safebox. The processor is further configured to generate an inventory list identifying each content item and transmit an inventory message to the first safebox access computing device. The processor is further configured to receive a content retrieval message from the first safebox access computing device and transmit a content message to the first safebox access computing device.

The application discloses an end-to-end communication record synchronization method and system, relates to the technical field of communication, and saves user personal communication record data in a private device, satisfies the convenient and safe use of the user in multiple terminals, and thus guarantees that the personal communication record data can be recovered, synchronized, conveniently saved and found, and accessed and used by the user at any time and in any place. The data of the user communication record does not need to be saved in a platform, is completely stored in the private device, and finally realizes the functions of the synchronization, recovery and storage of the user communication record data in multiple terminals, avoids data leakage to a larger extent compared with previous methods, guarantees the safety of the data, and realizes the convenient personal data management.

Provide a system. 【Solution means】 Means for receiving personal information from a user, Means for generating an exercise plan based on the personal information, Means for presenting the exercise plan to the user, Means for monitoring the user's exercise status in real time, Means for providing feedback to the user based on the exercise status, Means for awarding points based on the degree of achievement, Means for calculating a reward based on the points, A system including the above.

The invention discloses a privacy leakage detection method and device for an applet, electronic equipment and a storage medium, the method and device are applied to the electronic equipment and are used for carrying out privacy leakage detection on the applet, specifically, an API in the applet is recognized according to a developer document, the API involving user personal data reading serves as a taint source, and the taint source is used for detecting privacy leakage of the applet. An API related to user sensitive information transmission is used as a taint convergence position; performing static taint analysis on the program code of the to-be-analyzed applet to obtain a behavior set of the applet for processing the user sensitive information; constructing a cue word list of the applet based on the behavior set, wherein cue words comprise a data type and an operation type of data accessed by the applet; and based on a chain thinking prompt strategy and a multi-query mechanism, performing compliance judgment on the prompt words in the prompt word list by utilizing a large language model in combination with an applet privacy policy to obtain judgment results, and forming a detection report based on all the judgment results. Whether the privacy data use behavior of the applet is consistent with the privacy policy of the applet can be confirmed through the detection report, so that whether the applet has privacy leakage or not is confirmed.

The invention relates to the technical field of intelligent robot behavior control, and discloses a cleaning robot task self-learning control method, which comprises the following steps that a user sends a task instruction to a cleaning robot, the robot generates a task process after analyzing the instruction, and the robot acquires working environment data in real time and performs task learning on the cleaning robot. A cleaning task model is established through a deep reinforcement learning algorithm DQN, cleaning control parameters are generated, cleaning work is carried out, task execution data are collected, the cleaning control parameters are dynamically adjusted according to the task execution data in the working process, after the cleaning work is completed, a user can submit user feedback information, and user experience is improved. And finally, task execution data and user feedback are uploaded to a cloud server, and a user personalized model is established. Through multi-modal data fusion, the behavior evaluation model and visual interaction, the dynamic adjustment and self-learning ability of the cleaning robot in a complex environment is realized, and the cleaning effect, the cleaning efficiency and the user experience are remarkably improved.

The application discloses an e-commerce anti-user portrait system and method based on artificial intelligence and blockchains, comprising a data invasion containment module, a fuzzy user portrait module, an audit recommendation algorithm module and an intelligent comprehensive price comparison module; the data invasion containment module uses blockchain technology to clearly define the data ownership of each node, and decentralizes the data distribution to return the data ownership to the individual user, and desensitizes the authorized user data; the fuzzy user portrait module uses artificial intelligence to automatically search for irrelevant type goods or even opposite type goods; the audit recommendation algorithm module automatically audits the personalized recommendation algorithm, checks the fairness of the algorithm, and manually handles user complaints by accessing an expert system; the intelligent comprehensive price comparison module compares the prices of different e-commerce platforms and the historical prices of the same e-commerce platform, and integrates and displays the price comparison results. The application can effectively solve the problems of personal information leakage and big data killing in the e-commerce field, and improve user satisfaction.

An object of a system according to an embodiment is to provide highly reliable news according to a user's personal preference.SOLUTION: A system includes a news selection part, a news analysis part, a reliability evaluation part, and a news provision part. The news selection unit selects news according to the personal preference of the user. The news analysis unit analyzes the news selected by the news selection unit. The reliability evaluation unit evaluates the reliability of the news analyzed by the news analysis unit. The news providing unit provides the user with the news evaluated by the reliability evaluation unit.SELECTED DRAWING: Figure 1

The invention provides a charging management method, a charging management system and electronic equipment, and the method comprises the steps: obtaining the user charging information of a to-be-charged vehicle, and determining a user behavior coefficient; collecting state information of a charging environment, and determining an environment state coefficient based on the state information; acquiring safety information of the charging facility, and determining a facility safety coefficient based on the safety information; based on the user behavior coefficient, the environment state coefficient and the real-time working parameters of the to-be-charged vehicle, the charging adaptation degree of the to-be-charged vehicle under the real-time working parameters is determined; and correcting the reference charging current based on the charging adaptation degree and the facility safety coefficient to obtain a target charging current of the to-be-charged vehicle. In the mode, the reference charging current can be dynamically corrected by integrating the charging demand of the user, the environment state and the facility safety, so that the accurate adaptation of the charging strategy to the personalized demand of the user and the real-time health state of the battery is realized on the premise of ensuring the safety of the field facility and the stability of the power grid.

The application provides a resource scheduling method and system based on campus user behavior analysis, and relates to the technical field of resource management. The method comprises the following steps: collecting target behavior information of a target campus user in a preset period, and analyzing a target behavior time sequence; acquiring an arbitrary time zone and matching arbitrary behavior data; forming a campus user set, and analyzing first behavior information of a first user; if a first mode index of the first behavior time sequence and the target behavior time sequence reaches a predetermined index limit value, a mode clustering cluster is formed; acquiring a number of user individuals in the mode clustering cluster, and combining the arbitrary behavior data to obtain arbitrary resource demand of the arbitrary time zone; and performing campus resource scheduling processing. The application solves the technical problem that, in the prior art, inaccurate prediction of user demand leads to unreasonable resource allocation, thereby affecting resource scheduling efficiency. By analyzing user behavior mode and determining resource demand, the efficiency of resource scheduling is improved.

The invention discloses an intelligent popular science knowledge pushing system based on inspection report data. The system comprises a report data acquisition module, a data analysis and feature extraction module, a knowledge graph construction and management module, an intelligent matching and reasoning engine, a user portrait module and a personalized pushing and feedback module. The method comprises the following steps: acquiring a structured or unstructured examination report of a user, and analyzing and extracting key medical entities and numerical features by using a natural language processing technology; precisely screening out popular science knowledge most related to the current health condition of the user; and in combination with a user portrait, personalized pushing is carried out through an optimal channel at an optimal opportunity, and user feedback is collected to optimize the system. According to the method and the system, the problems of generalization of existing health science popularization pushing and disjunction with a personal examination result of the user are solved, accurate, timely, dynamic and personalized health knowledge service is realized, and the health management consciousness and compliance of the user are remarkably improved.

The embodiment of the invention provides an agent recall method and device based on personal preference of a user, a storage medium and electronic equipment, and relates to the field of agent recall, and the method comprises the following steps: constructing long-term memory data of the user; performing feature extraction based on the user long-term memory data and generating a user instant preference matrix; and recalling the intelligent agent based on the user instant preference matrix. According to the method, efficient and accurate agent recommendation can be realized.

The present invention provides an advertising distribution device, an advertising distribution method, an advertising distribution program, and a recording medium that enable the delivery of advertisements tailored to user preferences without requiring the user's personal information. [Solution] In the ad distribution device 10, the central processing unit includes a distribution request acquisition unit, an ad viewing condition acquisition unit, an ad list acquisition unit, an ad distribution selection unit, and an ad distribution unit. The distribution request acquisition unit acquires ad distribution requests from services used by the user, and the ad distribution request includes service identification information that identifies the service and user viewing condition identification information. The ad viewing condition acquisition unit acquires the user's ad viewing conditions based on the viewing condition identification information. The ad list acquisition unit acquires an ad list that includes at least one ad. The ad distribution selection unit selects an ad from the ad list that matches the ad viewing conditions. The ad distribution unit transmits the selected ad to the service based on the service identification information.

The invention discloses a community facility use space-time state identification method based on user activities and attribute clustering, and relates to the technical field of urban and rural planning, behavioral geography and community governance. The method comprises the following steps: collecting individual attributes of a user and typical daily activity log data through questionnaire survey, and delimiting a questionnaire issuing range based on a facility service area; individual attributes are clustered, and typical features of a group are extracted in combination with a random forest algorithm; clustering the user activity chain, and identifying a typical space-time activity mode; indexes with relatively strong association between individual attributes and activity modes are identified, individual attribute-activity mode coupled subdivided group types are formed, and features of the subdivided group types are identified; the space-time state of community facility use is analyzed from two aspects of time sequence distribution and a space circle layer, and finally the concentrated time period and the typical distance range of various facilities used by users with different attributes are identified.

The invention relates to a dictionary pen learning assistance method and device, equipment and a medium, and the method comprises the steps: extracting learning entries inquired by a user in a target time sequence, and determining the user features and word attribute features of each learning entry; constructing a multi-dimensional feature vector of each learning entry; substituting the multi-dimensional feature vector into an established forgetting curve model, and calculating a corresponding forgetting state; according to the forgetting state, a corresponding word learning prompt strategy is dynamically generated, and the word learning prompt strategy is used for automatically pushing corresponding review prompt information at the target review time point; and obtaining a response behavior of the review prompt information, determining a corresponding state field according to the response behavior, and updating a corresponding word learning prompt strategy according to the state field. By introducing the forgetting curve model to dynamically generate the learning prompt strategy, intelligent review recommendation for the personal memory rhythm of the user can be realized, so that the learning efficiency and the memory keeping effect are improved.

The invention provides an intelligent middle-screen voice assistant family scenario personalized reply system, and belongs to the field of large model interaction application. The method comprises the following steps: firstly, establishing a family user group, establishing an independent identity mark for each user, and setting a special voice assistant; secondly, a long-short-term memory mechanism needs to be established, key information of a current session and a current intention is reserved, information abstract extraction is performed on historical dialogue records, and a dynamic memory updating mechanism is established based on dimensions such as user preferences and intention occurrence frequency; then establishing a memory visual storage and update mechanism, so that a user can conveniently open and close a memory function, manually query or update a relationship between personal information of the user and family members, and lock important information so that the important information is not covered by a daily memory dynamic update mechanism; and finally, information with the highest relevancy in the long and short-term memories is matched through the small model in each round of session to serve as large model associated memories to be transmitted, token calling is reduced to the maximum extent, and the reply response speed is guaranteed.

The present invention solves a problem related to theft of personal information of a user caused by theft of a unique common number allocated to the user.　A user terminal receives one-time password data issued from an authentication device (S1204, S1103). The one-time password data and personal information are handed over from the user terminal to a request device (S1105, S1301). The request device transmits the one-time password data and the personal information to an authentication device (S1302, S1205). The authentication device, upon determining that the one-time password data is valid and the personal information is valid (S1206), generates and transmits authentication data to the request device (S1207, S1208, S1303).

To provide a system capable of improving an overall learning level by providing a AI home teacher capable of inexpensively coping with personal needs by utilizing the Internet.SOLUTION: The method includes the following steps: a user starts an application and inputs login information; a terminal sends the login information to a server; the server acquires personal information of the user from a database; the server generates a learning plan based on a learning record and progress of the user; the server sends the generated learning plan to the terminal; the terminal presents a learning task based on the learning plan to the user; an AI tutor module supports the user in real time during learning of the user; the terminal sends learning progress data of the user to the server; the server analyzes the data and adjusts a next learning plan; and the server generates content for maintaining motivation of the user and sends the content to the terminal.SELECTED DRAWING: Figure 1

One example method includes receiving identification information associated with a new user device, the new user device associated with the user; accessing a signature chain associated with the user, the signature chain comprising one or more sequential records; associating user personal information with the new user device; generating a cryptographic signature based on cryptographic keys associated with the new user device; generating an obfuscated representation of the user personal information; generating a record comprising the identification information, the user personal information, the cryptographic signature, and the obfuscated representation of the user personal information; generating a cryptographic identifier based on the identification information, the cryptographic signature, the obfuscated representation of the user personal information, and a latest of the one or more sequential records; inserting the cryptographic identifier into the record; appending the record to the signature chain as a sequential record; receiving a request to join a video conference from the user device, the request identifying the new client device and the user as a participant in the video conference; and authenticating the user based on the record.

Provided herein is an engagement and care support platform (“ECSP”) computer system including at least one processor in communication with at least one memory device for facilitating senior user engagement. The processor is programmed to: (i) register a user through an application, (ii) register a caregiver associated with the user through the application, (iii) generate a senior profile based upon user personal and scheduling data, (iv) build a daily interactive user interface that reflects the senior profile, (v) display the daily interactive user interface at a first client device associated with the user, (vi) cause the first client device to initiate a daily interaction prompt to the user, (vii) determine whether any user interaction was received in response to the daily interaction prompt, and (viii) transmit a daily update message to a second client device associated with the caregiver, including an indication of whether any user interaction was received.

The application provides an AI false information network propagation scene analysis method and system based on a large model, and relates to the technical field of deep learning; the method comprises the following steps: generating an AI information set; randomly extracting at least one group of AI information in the AI information set multiple times to obtain multiple subsets, and separately training the large model by taking the multiple subsets as training sets to generate multiple different user large models; randomly placing the different user large models on user nodes in a network structure for simulation, selecting an arbitrary user node in the network structure to put AI false information, simulating different user individuals by using the corresponding user large models on each user node, and realizing the analysis of AI false information in the network propagation scene by analyzing the state conversion of each user node in the network structure. The application can solve the problems of low efficiency of network user node feature learning and poor generalization and flexibility of false information propagation analysis methods.