988 results about "User control" patented technology

The invention relates to methods and systems for integrating generative artificial intelligence (AI) capabilities into Software as a Service (SaaS) platforms. It comprises maintaining AI agents with varying credentials, enabling their interaction with alphanumeric data in table structures, and implementing a hierarchical access control scheme. The system displays table structures, provides interfaces for user inputs, and allows AI agents to be added as platform users. The generative AI agents can analyze data, identify actions, and perform tasks autonomously. The invention also includes methods for proactive information gathering, interactive analysis of AI outputs, and management of AI resources as limited assets. This approach enhances SaaS functionality by enabling AI-driven task completion, data analysis, and decision-making while maintaining data security and user-specific access controls.

The invention provides an electronic certificate management and supply chain quality tracing method and system based on a block chain, and belongs to the technical field of information. According to the method, encryption storage and tamper-proof protection are carried out on the electronic certificate information through the distributed account book of the block chain and the Hash algorithm, and verification, approval and data updating operations are automatically executed based on the intelligent contract. Fine-grained authority management and abnormal access detection of all parties of the supply chain are realized through a user access control module; and through a tracing query module, performing multi-condition combination query on the electronic certificate information stored in the block chain, and generating a quality tracing report meeting supervision requirements. According to the method, through tamper-proofing, distributed storage and intelligent contracts of the block chain, trusted storage, automatic verification and full-chain quality tracing of the electronic certification are realized, data security and supply chain transparency are improved, trust cost is reduced, and supervision and tracing efficiency is improved.

The invention discloses a privatized AI question and answer method, system and device and a medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: collecting a file archive data set, and constructing a local digital knowledge base; selecting an AI semantic large model architecture; performing annotation enhancement on a local digital knowledge base by using an AI semantic large model architecture, and constructing a knowledge base AI question and answer model; performing permission marking on the local digital knowledge base based on a user access control rule, and establishing a knowledge base retrieval mechanism; and integrating and fusing the knowledge base retrieval mechanism and the knowledge base AI question-answering model to generate a retrieval enhanced AI question-answering model, performing semantic question-answering retrieval on the request question information, and outputting a user request question-answering result. The technical problem that in the prior art, data security, intelligent question answering and information retrieval efficiency are insufficient is solved, and the technical effect of improving intelligence and data access control of the question answering system is achieved.

The invention relates to the technical field of air conditioners, in particular to an air conditioner internet-of-things control method. An IoT (Internet of Things) module is integrated in each air conditioner, and environment data including temperature, humidity and air quality of a room are collected in real time through connection of an intelligent sensor and a cloud platform; data of all air conditioning equipment is summarized to form a centralized management system of equipment state and environment information; an intelligent cooperative control algorithm based on communication between the equipment is constructed by means of internet-of-things intercommunication between the air conditioning equipment; the air conditioning equipment detects environmental data in real time through a local sensor, accesses prediction data of an external environment including weather forecast and climate change trend, and adjusts a working mode in advance in combination with a self-learning function of the equipment; a multi-dimensional energy-saving optimization algorithm is adopted for intelligent control; meanwhile, the overall energy consumption is optimized in combination with external weather change and equipment use frequency; the optimization strategy comprises time period distribution and equipment priority control; and performing personalized user control based on big data analysis.

A system and apparatus for selectively limiting user control of a mobile electronic device are provided. In an embodiment, the apparatus may be a case sized to receive a mobile electronic device, the case having a locking means to at least partially secure an opening thereof. When engaged, the locking means may be physically impenetrable by the user of the mobile electronic device and may further be configured to engage and disengage in the presence of one or more pre-determined conditions. For example, the lock may engage when the case is detected within a certain geographical region or even during a specified time. It is contemplated that providing disclosed systems and apparatuses may reduce undesirable behavior at communal events by eliminating distractions posed by mobile electronic devices and preventing unauthorized recordings, which together may enhance overall engagement at and enjoyment of such events.

A server system for a map-based social media platform maintains user location information to enable the rendering of friend icons on a map at a corresponding display locations. The system maintains a per user access control list (ACL) that lists all users whose icons can be viewed by a requesting user. The ACL can include a designation of respective display granularity levels for different friend users.

The invention relates to the technical field of artificial intelligence and multi-modal content generation, and discloses an intelligent starting artificial intelligence multi-modal content generation system which comprises a multi-modal input module, a modal encoder, a joint representation construction module, a user control condition embedding module, a semantic consistency optimization module, a modal distribution alignment module and a multi-modal decoder. Feature extraction, joint representation construction and user control condition dynamic adjustment are performed on multi-modal input data, and semantic consistency optimization and modal distribution alignment technologies are utilized to generate diversified and high-quality multi-modal target content with high semantic consistency and controllable user. The problems that in the prior art, multi-modal information fusion is difficult, the generated content is uncontrollable, and modal distribution is inconsistent are solved, and the quality and practicability of multi-modal content generation and the user experience effect are remarkably improved.

The invention provides an underwater target detection method and system based on a multi-beam foresight sonar image, and belongs to the technical field of underwater image processing. The method comprises the following steps: acquiring a target sonar image by adopting a multi-beam foresight sonar device, extracting a multi-scale feature map by adopting an improved detection model based on a convolutional neural network, predicting and classifying bounding boxes, and outputting position coordinates and category probability result information containing each detection target. According to the invention, a dynamic perception patch attention mechanism is introduced into the improved convolutional neural network, and a multi-branch feature extraction strategy and a special small target detection head are combined, so that the detection capability of the small target is enhanced, and the purpose of improving the detection precision is achieved. In addition, sonar imaging and processing, data communication, display control and the like are integrated in an embedded platform, and portable real-time detection, data exchange and user control are achieved. According to the method, the detection precision of the small target in the underwater forward-looking multi-beam sonar image can be effectively improved.

A computer-implemented method may include identifying a video stream for presentation to a user, extracting, from content of a segment of the video stream, at least one topic, presenting, to the user, the at least one topic as a selectable interface item in a graphical user interface when the segment of the video stream is presented to the user, receiving an input from the user selecting the at least one topic via the selectable interface item, and providing, in response to receiving the input from the user, the at least one topic as a prompt to a generative machine learning model. Various other methods, systems, and computer-readable media are also disclosed.

The invention provides an energy recovery control method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining the driving habit data and road condition data of a user, the driving habit of the user being the habit of the user controlling the vehicle speed and the rotating speed, and the road condition data being used for representing the road congestion condition; calculating a target energy recovery torque according to the driving habit data and the road condition data; and controlling the motor controller to output the target energy recovery torque. In the embodiment of the invention, the target energy recovery torque is calculated according to the driving habit and the road condition data of the user. It can be understood that the self-adaptive energy recovery mode in the embodiment of the invention is more in line with the driving habits of users, and even if different users drive vehicles, different target energy recovery torques can be calculated respectively, so that the requirements of different users for energy recovery intensity are met, and the user experience is improved.

Aspects of the present disclosure are directed to applying voice controls to a target virtual object in an artificial reality environment. User controls in an artificial reality environment can take many forms. Some user controls, such as ray casting or gaze tracking, can incorporate selection mechanics to select the artificial reality environment element (e.g., virtual object) that the user is targeting for interaction. Other forms of user controls, such as voice controls, may not include such selection mechanics. Implementations disambiguate user voice input to select a target virtual object and control the target virtual object based on the voice input. For example, a disambiguation and control layer can select the virtual object the user intends to target with voice input, format input for the target virtual object using the voice input, and control the target virtual object via execution of one or more applications that manage the virtual object.

An approach is provided that displays avatars locating in a first virtual area to a first set of users with each user controlling one of the avatars. A request is received from one of the users to escape a situation. In response to the request, the system clones the user's first avatar thus creating a second avatar. The second avatar is visible to the user; however it is invisible to one or more of the set of users. The user controls the second avatar and the first avatar is automatically controlled using artificial intelligence (AI), with the user no longer controlling the first avatar.

The present disclosure relates to a virtual reality-based control method and apparatus, and an electronic device, and relates to the technical field of virtual reality. The method comprises: first monitoring image information captured by a camera for a user; identifying movement information of a target object in the image information; then, according to the movement information of the target object, displaying at least one interactive component model in a virtual reality space, and executing an interaction function event that is pre-bound to an interactive component model selected by the user. By means of applying the technical solution in the present disclosure, the technical problem that user control is easily influenced due to the buttons of an entity device being easily damaged can be effectively solved. A stronger technological sense can be brought to users, thereby enhancing the VR usage experience of users.

The invention relates to the technical field of intelligent lighting control, in particular to a multi-user sharing-oriented self-adaptive lighting intelligent identification control method, which comprises the following steps of: identifying user identities through a multi-user feature identification system, acquiring historical use habit data, generating personalized lighting parameters based on the data and current environment data, the group preference learning system constructs similar user clusters to optimize shared space illumination; the conflict adjustment system identifies and processes multi-user demand conflicts; the priority distribution system dynamically adjusts user control authority; the feedback learning system obtains user feedback, calculates satisfaction, updates a preference model and continuously optimizes an illumination control strategy; intelligent lighting control based on user features and group preferences is achieved, conflict processing and continuous learning capabilities are achieved, rapid and accurate recognition of users is achieved through a face recognition technology, lighting parameters are automatically adjusted in combination with historical use habit data, and personalized lighting experience is provided; dynamic changes of user demands are captured, and the accuracy of illumination scene recommendation is improved.

A system and apparatus for selectively limiting user control of a mobile electronic device are provided. In an embodiment, the apparatus may be a case sized to receive a mobile electronic device, the case having a locking means to at least partially secure an opening thereof. When engaged, the locking means may be physically impenetrable by the user of the mobile electronic device and may further be configured to engage and disengage in the presence of one or more pre-determined conditions. For example, the lock may engage when the case is detected within a certain geographical region or even during a specified time. It is contemplated that providing disclosed systems and apparatuses may reduce undesirable behavior at communal events by eliminating distractions posed by mobile electronic devices and preventing unauthorized recordings, which together may enhance overall engagement at and enjoyment of such events.

The invention discloses a sliding table motion control method and device for a laparoscopic surgical robot, and relates to the technical field of surgical robos.The method comprises the steps that a lesion three-dimensional model is established based on a lesion CT image, a target area and boundary coordinates of the target area are obtained, and a coordinate transformation matrix is calculated for space registration to obtain a unified coordinate system; selecting a moving mode according to the user control instruction; recording operation data of users, classifying the users to obtain corresponding force speed curves, force displacement sequences and habitual force, and establishing a comprehensive control model and an error compensation model; when entering a fine adjustment mode, inputting a real-time distance, a user type and a force displacement sequence into a comprehensive control model, determining a regulation and control scheme, and reversely correcting output displacement according to a real-time positioning error, so that the auxiliary surgical instrument reaches a target position; high-precision motion control over the sliding table (2) of the laparoscopic surgery robot is achieved, the surgery time is remarkably shortened, the target position of an auxiliary instrument is accurately and rapidly positioned, and the surgery efficiency is improved.

A fan includes a main body of fan and a bracket assembly. The main body of fan is connected to the bracket assembly. The main body of fan includes a blower part for blowing air, a rotating bracket and a main unit. The rotating bracket is arranged between the blower part and the main unit and is configured to connect the blower part and the main unit. The main unit is configured to control air blowing of the blower part. The bracket assembly includes at least one bendable and shapeable supporting leg configured to fix the fan to an external object. A rotating bracket is rotatably connected to both a blower part and a main unit, enabling vertical and horizontal rotation of the blower part. This configuration achieves multi-angle adjustment of the blower part, simplifies user control over airflow direction, and thereby significantly improves user experience.

A hearing aid system comprises a hearing aid, and a portable auxiliary device’ adapted to establish a communication link between them. The hearing aid comprises a microphone providing an electric input signal, a signal processor, and an output unit. The auxiliary device comprises a microphone providing an auxiliary electric input signal, and a user control interface allowing a user to initiate a specific calibration mode of operation of the hearing aid system. The signal processor of the hearing aid is configured to receive corresponding time segments of said electric input signal and said auxiliary electric input signal to provide an estimate of an acoustic transfer function from said microphone of said auxiliary device to said microphone of said hearing aid. A method of operating a hearing aid system is further disclosed. The invention may e.g. be used in various applications related to own voice detection and estimation.

Systems and methods for enhancing, controlling and / or otherwise managing use of generative artificial intelligence (AI), such as in business, education, interpersonal communication, etc., including to assess use of generative AI (e.g., whether and / or how generative AI is used) and / or to use generative AI more effectively. For example, in various embodiments, these systems and methods may: characterize generative AI usage in producing work products; bill based on generative AI usage; ensure human validation of AI-generated content; enable user control over data for generative AI training, review of AI-generated content, and / or other generative AI considerations; facilitate management of rights to AI-generated work products; detect generative AI usage in interpersonal communication, education and / or other situations; adapt AI-generated content of online communications based on their context; personalize AI-generated messages and other content; trigger use of generative AI based on speech; limit or otherwise avoid generative AI usage; and / or improve use of generative AI in other ways.

Aspects of the disclosed technology include machine-learning systems and methods for generating user interface elements that allow user control over generative content creation by machine-learned generative models. A generative user interface (UI) system is configured to generate, as output of one or more machine-learned sequence processing models, computer-executable functional code to process a user query in association with a content item. The system is configured to generate computer-executable interface code for a user interface that includes a user interface element associated with at least one parameter of the computer-executable functional code for modifying the content item. The system is configured to determine data for the at least one parameter of the computer-executable functional code based at least in part on a user input to the user interface element and generate a modified content item using the computer-executable functional code and the data for the at least one parameter.

A work environment adjustment system includes multiple instances of controllable office equipment located within an office space, each instance associated with a specific office location and including an activator for controlling states of the instance, at least one presence sensor for detecting user presence within each space associated with each instance, and a master controller linked to each office equipment activator to control activation of each activator to control a current state of each instance. The master controller is programmed to perform the steps of receiving sensor signals from the at least a first presence sensor, determining user presence at each space associated with each instance, controlling states at each of the instances independent of user input when the space associated with the instance is vacant, and enabling user control of the state of each instance associated with a space that is occupied by a user.

The invention discloses a power distribution network data processing method and device based on deep learning, terminal equipment and a storage medium, and belongs to the field of power distribution networks. Inputting the current operation state into a preset state detection agent, and generating a target operation action of the power distribution network under the current operation state data, so that a user controls the on-off state of each device in the power distribution network according to the target operation action; wherein the training of the state detection intelligent agent comprises the following steps: acquiring historical operation state data of the power distribution network; and taking the historical operation state data as input of training operation, repeatedly executing the training operation, stopping executing the training operation when the loss function value of the deep reinforcement learning network is minimum, and obtaining a state detection agent of the power distribution network, so that the problem of low adjustment efficiency of the existing power distribution network can be solved.

The invention discloses a multi-lens picture automatic splicing fusion processing method in video communication, which belongs to the technical field of multimedia communication, and comprises an acquisition module for synchronously acquiring video images of different visual angles through a plurality of cameras, and an analysis module for identifying overlapping areas and key feature points in each path of video, carrying out image matching, and sending the images to the video communication module. The fusion module is used for splicing and fusing the multiple paths of videos according to the image matching result to generate a panoramic picture, and the output module is used for outputting the spliced and fused panoramic picture to terminal equipment in real time. According to the invention, through a frame-level synchronization system with a unified time reference and standardized video parameter configuration, time sequence deviation and chromatic aberration distortion of multiple paths of videos are eliminated, the feature matching reliability in a complex scene is remarkably improved, the positioning precision of an overlapping region is ensured, splicing traces can be efficiently eliminated, and meanwhile, processing delay is reduced; and intelligent adaptation of the panoramic content on different terminal devices can be realized, and the degree of freedom of user control is improved.

The utility model provides an interlocking device for a grounding switch and a switch cabinet. The device comprises a program lock, a locking assembly and a limiting assembly. Through the design of the program lock, the locking assembly and the limiting assembly, when the program lock is in a closed state, the operation main shaft is in a closed state, the program lock shields the operation hole, and the first switch in the locking assembly outputs the first signal for locking the electric operation assembly, so that a user cannot manually control the operation main shaft through the operation hole; and the operation main shaft cannot be controlled by controlling the electric operation assembly, so that the misoperation of a user is effectively avoided. When the program lock is in an open state, a user can control the grounding switch to be switched off or switched on by controlling the limiting assembly to control electric operation or manual operation according to own needs, it is guaranteed that the electric operation is switched off during manual operation or the manual operation is limited during electric operation, misoperation is effectively avoided, and the user experience is improved. And personal and equipment safety can be guaranteed.

An aircraft seat may include an integrated motion control system. The motion control system may include one or more user controlled sub-systems. Each sub-system may include at least one of a user control device, a lever arm, and a metering pin assembly. The lever arm may couple to the user control device and synchronously transmit a force to one or more cables in response to an actuation of the user control device. The metering pin assembly may include a metering pin which may be configured to attach to an end portion of the one or more cables and receive a force from the one or more cables causing the respective control sub-system to execute an adjustment control operation. The adjustment control operation may include a vertical position adjustment, a swivel position adjustment, or a track position adjustment.

A processor coupled to memory is configured to receive an identification of a geographical location associated with a target specified by a user remote from a vehicle. A machine learning model is utilized to generate a representation of at least a portion of an environment surrounding the vehicle using sensor data from one or more sensors of the vehicle. At least a portion of a path to a target location corresponding to the received geographical location is calculated using the generated representation of the at least portion of the environment surrounding the vehicle. At least one command is provided to automatically navigate the vehicle based on the determined path and updated sensor data from at least a portion of the one or more sensors of the vehicle.

The invention provides a Mosquitto log management system based on an ARM processor, and the system comprises a log generation end which is used for generating log data and controlling a sending behavior through a condition triggering mechanism; the log storage end is used for storing the log data generated by the log generation end; the user control end is used for sending a log viewing request and a storage level adjusting instruction; the log transmission module is used for transmitting log data to the log storage end or the user control end and transmitting a control instruction to the log generation end; the ARM processor is used for executing log data processing and analysis and coordinating operation of each module; and the log generation end only sends key log data to the log storage end when not receiving a request of the user control end, and sends full log data to the user control end when receiving a log viewing request of the user control end. According to the method, the flexibility and the resource utilization rate of the log system can be improved, the storage cost and the system load are reduced, and the expandability and the stability of the system are enhanced.

A method for providing access to objects associated with a particular client in a cloud storage system is disclosed. The method includes the steps of establishing a connection with a user, providing a client namespace associated with the client to the user, where the client namespace represents objects stored on the cloud storage system and objects stored on a private storage system apart from the cloud storage system, receiving a request from the user to access an object stored on the private storage system, and providing information to the user to facilitate access to the object stored on the private storage system by said user. Other systems and methods are also disclosed. Important advantages of the present invention are facilitated by separating the logic for user access (control plane) from the actual storage (Storage plane). Private file system access can still be managed from the cloud, while keeping the client data private.

The invention discloses an action generation method, system and device based on a multi-modal large model and a medium, and relates to the field of artificial intelligence, and the method comprises the steps: obtaining an action type of a current environment input by a user and a multi-modal instruction; performing intention understanding and step splitting on the multi-modal instruction based on the first multi-modal large model to obtain a user control intention in a text form; for any processing step in the user control intention, environment perception is carried out by adopting a second multi-mode large model based on the user control intention and the current environment information; a third multi-mode large model is adopted to generate a next action; and calling a corresponding action interface according to the next action. The multi-mode instruction input by the user can be analyzed in real time, the environment information can be understood, and the action adapting to the current environment is generated, so that efficient and autonomous control of the robot is realized, and high-accuracy generation and real-time interaction of complex actions are realized.

A system for generating objective assessment criteria of social skills, comprising a speech to text system receiving audio data and converting the audio data into text data for a first speaker and a second speaker, a dialog management system processing text data for the first speaker and text data for the second speaker generating a strategic attention score for the first speaker based on responsiveness of the text data of the first speaker to text data of the second speaker, and a response verification system generating a user control for the strategic attention score and receiving feedback data from the second speaker to accept or modify the strategic attention score.