172 results about "User environment" patented technology

The invention relates to the technical field of electronic seal management, and discloses an electronic seal management method and system, and the method comprises the steps: S101, generating a unique key corresponding to an electronic seal based on the combination of a unique user identifier and a timestamp in a multi-user environment; s102, dynamically regulating and controlling the use permission of the electronic seal in real time through a monitoring system, and ensuring that the permission immediately loses efficacy after a specific person is designed or transferred, according to the scheme provided by the embodiment of the invention, the problem that the same key is repeatedly generated in a multi-user environment by regulating and controlling the unique key generated by the electronic seal can be solved; according to the method, the problem of authority failure lag after specific personnel demission or transfer can be solved by dynamically regulating and controlling the use authority of the electronic seal in real time, and the problem of insufficient data integrity verification in the auditing process by regulating and controlling the details and the storage position of log records of the electronic seal can be solved.

The invention relates to the field of artificial intelligence, and discloses an E-commerce platform commodity recommendation method based on AI intelligence, and the method comprises the steps: obtaining user environment and behavior data through multi-modal perception, generating a three-dimensional intention vector through space-time convolution network coding, and driving a dynamic strategy selector to configure a recommendation weight; generating an initial recommendation list in combination with the commodity feature library and the user portrait; collecting user interaction feedback in real time, analyzing and outputting a correction vector through a lightweight loop network, dynamically adjusting a strategy, and reordering recommendation results; after a user places an order, a scene complementation generator is started, a complementation commodity sub-list adaptive to a current transaction scene is generated based on knowledge graph multi-hop reasoning, and visual fusion presentation is carried out. According to the technical scheme, accurate intention recognition, millisecond-level strategy correction and dynamic complementary recommendation are achieved, and recommendation real-time performance, adaptability and diversity are improved.

The invention relates to the technical field of authority management, in particular to a system authority management method based on a composite authority access control model, and the method comprises the steps: obtaining user information, dynamically allocating roles for users, and dynamically allocating authorities for the roles; establishing association between the operation corresponding to the authority and the object; adding tasks and tense constraints in the association of the operation and the object; according to the system function and the user environment, the length of a permission chain is controlled by selecting a matrix so as to associate the system permission, and the permission chain comprises one or more of a user, a role, a task, an operation and an object. Establishing a data storage strategy matched with the composite permission access control model, and constructing a corresponding database according to the data storage strategy to store user, role, object, operation and permission data; setting a data sharing strategy; in the data transmission process, sensitive data in a database is encrypted, and an access control strategy, an auditing and monitoring strategy and an emergency response strategy are set.

The invention relates to a gesture recognition and projection fusion non-contact interaction method and device, equipment and a medium. The method comprises the steps of obtaining multi-user gesture original image data, extracting geometric features and boundary features of a hand contour after image preprocessing and noise removal, and generating recognition result data; secondly, on the basis of three-dimensional coordinate information in the recognition result, a tracking trajectory is analyzed through trajectory continuity, a user identity identifier is matched in combination with a user identity feature library, and user space positioning information is generated; then, a three-dimensional track point sequence is extracted from the user space positioning information, an initial projection area is divided by adopting a dynamic area segmentation algorithm, and an operation area mapping relation is formed; and finally, analyzing the operation area mapping relation to extract gesture action features, generating a control instruction set in combination with a preset rule, and scheduling a conflict instruction to generate an instruction execution sequence. By adopting the method, the scene limitation of traditional contact type interaction can be broken through, and the stability and practicability of non-contact interaction in a multi-user environment are improved.

A head mounted display system can process images by assessing relative motion between the head mounted display and one or more features in a user's environment. The assessment of relative motion can include determining whether the head mounted display has moved, is moving and / or is expected to move with respect to one or more features in the environment. Additionally or alternatively, the assessment can include determining whether one or more features in the environment have moved, are moving and / or are expected to move relative to the head mounted display. The image processing can further include determining one or more virtual image content locations in the environment that correspond to a location where renderable virtual image content appears to a user when the location appears in the display and comparing the one or more virtual image content locations in the environment with a viewing zone.

Systems and methods are provided herein for only including portions of a user's environment that have been approved by a user in a video conference while excluding portions that have not been approved. This may be accomplished by a device receiving a policy identifying one or more approved objects of a scene of a video stream. The device may then generate a filtered video stream by only including portions of the scene that comprise the one or more objects that were approved by the policy in the filtered video stream. The filtered video stream may be combined with other video streams to generate a video conference that is transmitted and / or stored by one or more devices participating in the video conference.

A device located within a user environment may be used to measure one or more environmental conditions within the user environment. For example, the sensor device may measure the temperature, humidity, light intensity, color temperature, and / or the like. The sensor device may periodically measure the environmental conditions, and may periodically transmit the values of the measured environmental conditions to a computing device. A mobile device associated with a user may receive the measured values from the sensor device when the mobile device is within range of the sensor device, and may present a survey to the user that includes one or more questions that prompt the user to report their comfort level with respect to the measured environmental conditions. The mobile device and / or another computing device may build a profile for the location and / or the user based on the values and the user's reported comfort levels.

The invention discloses a visual perception interaction system and method based on AI scene understanding, and belongs to the technical field of augmented reality. The system captures a user environment in real time through an image sensor, performs feature extraction and target detection in combination with a convolutional neural network (CNN), quantifies scene complexity, and dynamically adjusts brightness, contrast and display parameters of AR equipment. The core module comprises complexity analysis, adaptive brightness / contrast adjustment, user feedback optimization and global scoring. By calculating the image entropy, the standard deviation and the user score, the system optimizes the display effect in real time, and the visual definition and comfort of the user are improved. The method solves the problem of poor AR display adaptability in a complex environment, remarkably enhances the human eye perception quality, and is suitable for the fields of virtual reality, automatic driving and the like.

The embodiment of the invention provides a method and device for allowing an application to access a system resource, and a terminal. The method includes: acquiring an operation control request of anapplication; determining a user environment where the application is about to operate according to the operation control request of the application; acquiring a safe context corresponding to the userenvironment from a plurality of preconfigured safe contexts in a system, wherein the plurality of preconfigured safe contexts in the system are corresponding to different user environments respectively, and system resource access rights corresponding to the plurality of preconfigured safe contexts are different from each other; and performing access processing on the system resource according to the system resource access right corresponding to the safe context corresponding to the user environment. The scheme can perform application behavior control on the same application under different users.

The invention relates to a linkage control method, device and equipment for smart home and a computer readable medium. The method comprises the steps that under the condition that sound information is collected, acoustic features of the sound information are extracted, and the sound information comprises sound generated by at least one of a user, an environment and intelligent home equipment in a target space; comparing the acoustic features with associated features of each library instruction in a database to determine a target library instruction triggered by the sound information; determining a scene linkage strategy corresponding to the target library instruction and at least one target smart home device; and issuing the target library instruction to the target smart home device to control the target smart home device to execute the scene linkage strategy according to the target library instruction. According to the invention, the limitation that the sound control of the traditional smart home equipment can only be based on a specific voice instruction is broken through, and the sound generated by the user behavior, the environment sound and even the sound generated by the home equipment can identify the specific application scene and trigger the linkage instruction of the corresponding scene.

Disclosed herein are systems and methods that allow for secure access to websites and web-based applications. Also described are systems and methods for secure use and retention of user credentials, as well as methods for dynamic authentication of users and integrity checking of service providers in online environments. Thus, described in the present specification are systems and methods for constructing and destroying private, secure, browsing environments (a secure disposable browser), insulating the user from the threats associated with being online for the purposes of providing secure, policy-based interaction with online services.

Disclosed herein are systems and methods that allow for secure access to websites and web-based applications. Also described are systems and methods for secure use and retention of user credentials, as well as methods for dynamic authentication of users and integrity checking of service providers in online environments. Thus, described in the present specification are systems and methods for constructing and destroying private, secure, browsing environments (a secure disposable browser), insulating the user from the threats associated with being online for the purposes of providing secure, policy-based interaction with online services.

Aspects of the subject technology provide improved techniques for human-machine interaction, including disambiguation of language commands of a human user. Improved techniques may include integrating language input from a user with additional input from sensors related to the user and the user's environment. In an aspect, an image of a user's environment may be first analyzed to identify an object in the environment. A second analysis of the identified subset of objects in the environment may be triggered with respect to the user's input, such as the user's gaze location. Results of these analyses may then be used to parse ambiguity in the language user input from the user.

A computing system can perform computer-vision-based operations to create a vision-based user environment. The system can process an image stream and identify a computer vision character of a vision alphabet in the image stream. The vision alphabet includes a collection of computer vision characters, with each computer vision character having a distinctive characteristic identifiable by computer vision. The system can process an image of the video stream to provide to a user device a function associated with the identified computer vision character, the processing including to make a bounded space within the video stream corresponding to the identified computer vision character interactive on the user device. The system can provide the function in response to interaction with the bounded space at the user device. The system can provide a processed image to the user device, or simply provide functionality for a received stream.

Aspects of the present disclosure are directed to an artificial intelligence (“AI”) application running in conjunction with an artificial reality (“XR”) space. The AI Builder responds to user commands, verbal or gestural, to build or edit spaces or objects in space. If the requested object is of a type recognized by the AI Builder, then the AI Builder builds the object from one or more stored templates. The new object's location is determined by the objects that already exist in the user's XR environment and on commands or gestures from the user. If the AI Builder does not recognize the requested object, the user can show an image to the AI Builder, and the AI builds a 3D object in the XR space according to that image. To ease collaboration among users, the AI Builder may present its user interface as a non-player character within the XR world.

The invention discloses a data security management system and method based on report generation, and relates to the related technical field of data processing, and the method comprises the steps: obtaining a plurality of report data sets corresponding to a plurality of users; and performing security encryption processing on the plurality of report data sets through the plurality of encryption blocks, and outputting a plurality of encrypted report data sets. And carrying out correlation analysis on the plurality of report data sets, and outputting correlation indexes. Based on the relevance index, a temporary security token is generated, and the temporary security token is used for authorizing the current user to access the report data set with the relevance index larger than a preset relevance index. And obtaining a shared report template, and when the plurality of report data sets are input into the shared report template, performing association decryption access management on the shared report template by the current user according to the temporary security token. The technical problem that in the prior art, a security management system is difficult to carry out efficient encryption and security management on report data in a multi-user environment is solved.

The invention provides a Slurm cluster servitization dynamic management method and system, a medium and a product, and the method comprises the steps: submitting a custom resource CRD based on Kubernetes Operator, and defining the configuration information of a Slurm cluster; the controller schedules and adjusts the computing nodes according to the scheduling strategy, automatically generates a configuration file required by the Slurm cluster, and deploys the Slurm service; a user submits a job through the Slurm client, and knows the state of the job through the Slurm monitoring service; and the controller monitors the change of the custom resource CRD. According to the invention, a service dynamic management method for the Slurm cluster is introduced through the Kubernetes Operator, and the technical problem that it is difficult for a user to construct and manage the Slurm cluster efficiently and autonomously in a cloud multi-user environment in the existing Slurm cluster is solved.

The disclosed computer-implemented method may include (1) predicting a user state, wherein the user state is measurable via a plurality of different sensor sampling modes, (2) determining a level of uncertainty associated with the predicted user state, and (3) selecting, from the plurality of different sensor sampling modes, a sampling mode to measure the user state. Selecting the sampling mode may include selecting a first sampling mode in response to determining that the level of uncertainty is above a threshold or selecting a second sampling mode in response to determining that the level of uncertainty is below the threshold. Various other methods, systems, and computer-readable media are also disclosed.

The invention discloses an automatic testing method and device for the number of connectable users of user front-end equipment, and the method comprises the steps: generating a plurality of virtual users, and configuring a unique MAC address for each virtual user; a first message is constructed according to the MAC address of each virtual user, all first messages are sent to a network in a multi-thread mode, and the first message comprises the requested IP address; monitoring and collecting a second message sent by the user front-end equipment, the second message being sent by the user front-end equipment after the user front-end equipment receives the first message, and the second message comprising the requested IP address; extracting the requested IP addresses in all the second messages and counting the number of the extracted requested IP addresses; and obtaining a test result according to the number of the extracted requested IP addresses and a preset number threshold. According to the invention, efficient and automatic testing of the CPE equipment in a multi-user environment is realized, and the testing speed and precision are greatly improved.

Disclosed are methods, systems and non-transitory computer readable memory for generating objects in low-code or no-code software process execution environments. For instance, a method may include: receive a request to initiate an object templating subroutine; obtain a seed file, the seed file containing seed data relating to an object to be generated; and transmit the seed file to a user environment. The user environment may be configured to: perform validation and / or update actions to the seed data; and transmit the validated and / or updated seed data with a request to initiate an object generation subroutine. The method may further include, in response to receiving the validated and / or updated seed data and the request to initiate the object generation subroutine, generate the object by performing one or both of: (i) generating a new object; and (ii) modifying an existing object.

Various implementations provide a method for determining how a second user prefers to be depicted / augmented in a first user's view of a multi-user environment in a privacy preserving way. For example, a method may include determining that a physical environment includes a second device, where a second user associated with the second device is to be depicted in a view of a three-dimensional (3D) environment. The method may further include determining position data indicative of a location of the second device relative to the first device. The method may further include sending the position data indicative of the location of the second device relative to the first device, to an information system (e.g., a user preference system). The method may further include receiving a user preference setting associated with the second user for depicting or augmenting the second user in the 3D environment from the information system.

The invention provides a home equipment control method based on artificial intelligence and related equipment. The method comprises the following steps: acquiring user environment data in real time; acquiring user habit data corresponding to the user environment data; calling a preset AI big data model to generate a control instruction based on the user habit data; and controlling the target home equipment based on the control instruction. According to the method, the user environment data is acquired in real time, so that the user habit data of the user in the environment condition can be accurately grasped. The personalized control instruction can be generated based on the user habit data and the preset AI big data model, so that personalized and automatic control of the home equipment is realized. Meanwhile, compared with a traditional manual control mode, automatic control is higher in response speed and more accurate in control.

A system S comprises a server 3 and HMDs 4. The server 3 comprises a composite space generation unit 31b that generates composite space, a user environment determination unit 32 that determines space to be recognized by each user via his HMD 4, a user state recognition unit 33 that recognizes a motion of the user, a trigger event recognition unit 35 that recognizes a trigger event which is a motion performed by the user to a virtual object, and a virtual space generation unit 37b that generates virtual space. When the trigger event is recognized, the user environment determination unit 32 causes the user to recognize the virtual space instead of the composite space.

The invention discloses an AI automobile recommendation method and system based on a multi-modal large model and electronic equipment, and relates to the field of sales recommendation, and the method comprises the steps: S1, data collection and preprocessing: collecting consumer portrait data, vehicle use environment context data and vehicle multi-modal data; through a cleaning algorithm, feature engineering is carried out after abnormal data is removed, and a pre-training data set, a fine tuning data set and an online real-time streaming data set are generated; local coding desensitization processing is carried out on the consumer sensitive portrait data; step S2, three-stage model training, specifically comprising the following steps: step S21, large-scale pre-training; step S22, performing task alignment and fine adjustment; step S23, carrying out online reinforcement learning; and S3, recommendation generation and output, which specifically comprises the steps of receiving basic information input by a user, performing cross-modal fusion reasoning on user, environment and vehicle information through a trained model, and outputting a Top-K vehicle type sorting result and a corresponding natural language recommendation reason.

The embodiment of the invention relates to an application support system, and the system comprises an application layer which receives a request from a front end or a user in a multi-user environment, and determines an application layer behavior corresponding to the user after big data processing; the system public service module provides at least one public component and service and comprises authority management, log auditing, a data access layer, task scheduling and a message queue; the authority management comprises the steps of defining different roles, allocating a specific authority to each role, verifying the identity of a user, determining that the user can access resources or execute operations according to the identity of the user, and recording the change history of the user authority; the log auditing comprises recording an operation log of an application program, recording error and abnormal information generated when the system runs, and recording a performance index of the system; and the bus service gateway interface is used for interacting with a plurality of systems through multiplexing, and during interaction, a plurality of data streams during data sending or receiving are in parallel on one TCP connection.

An interactive system may be implemented in part by an audio device located within a user environment, which may accept speech commands from a user and may also interact with the user by means of generated speech. In order to improve performance of the interactive system, a user may use a separate device, such as a personal computer or mobile device, to access a graphical user interface that lists details of historical speech interactions. The graphical user interface may be configured to allow the user to provide feedback and / or corrections regarding the details of specific interactions.

The present invention relates to a system that automatically generates 2D animations based on text and embeddings, maintaining visual and semantic consistency by combining model IDs and embeddings of characters, backgrounds, and motions. Information regarding scenes, characters, backgrounds, actions, and dialogue is extracted from input text content through natural language processing (NLP) and semantic analysis. By combining character embeddings and motion embeddings with model IDs, background images are synthesized to automatically generate animation scenes while maintaining consistency in the appearance and movement of the characters. Adaptive learning based on user feedback is performed to continuously improve the generation performance of the system, and post-production work is automated to maximize production efficiency. By enabling the efficient and consistent production of 2D animations in large-scale user environments, this system reduces production costs and time and supports non-experts in easily creating animations.

Traditionally, to obtain surf conditions, a person must visit a website, which can be time-consuming, inconvenient, and unartful, and may lead to distraction. Embodiments of a visual device are disclosed that indicates the value of an environmental parameter, representing a surf condition or other environmental condition, using light, according to a color scale that is mapped to enumeration values of the environmental parameter. The visual device may be functional art, capable of being hung on a wall like a painting, such that it can automatically, seamlessly, and artistically inform the user of the environmental condition. The visual device may comprise a controller that acquires the value of the environmental parameter, in the background, via a connection to a platform, and a local access point for easy configuration of the connection. The platform may enable configuration of the environmental parameter, collect environmental data, and calculate values of the environmental parameter.

The application belongs to the technical field of smart home, and particularly relates to a smart home device control method and system based on a smart door lock, which comprises the following steps: obtaining a plurality of historical data slices containing a leading event sequence; constructing a user behavior graph according to the historical data, and calculating a mode coincidence degree of a current behavior; meanwhile, learning a user environment preference according to the historical data, constructing a probability density model to calculate an imbalance degree of a current environment; finally, fusing the behavior mode coincidence degree and the environment imbalance degree into a decision factor through an adaptive nonlinear function, and the decision factor is used for dynamic matching in a historical successful scene library and driving the final device control. The application realizes adaptive, personalized and continuously optimized smart home control, and can improve user experience.

The invention relates to a user environment for exchanging an edge computing system and a high performance computing system. A process includes hosting a user interface instance on an edge computing system external to a high performance computing system. The process includes providing, by a user interface instance, an encrypted authentication token to a high performance computing system to form a connection between the high performance computing system and an endpoint instance of the high performance computing system; in response to providing the encrypted authentication token, forming a connection between the user interface instance and the endpoint instance; mounting a first file system of the edge computing system to a second file system of the high-performance computing system to provide an expanded first file system; exchanging a user environment of the edge computing system with a user environment of the high performance computing system; in response to a request received by the user interface instance from the connection, the extension file system is accessed by the user interface instance to transfer data between the edge computing system and the high performance computing system.