31 results about "Information environment" patented technology

This application provides a light emission control method, a terminal, and a computer-readable storage medium. The light emission control method is applied to a terminal, the back of which has a light strip and a transparent back cover. The back is the side opposite the terminal's display screen. The transparent back cover completely covers the back of the terminal with the light strip, which emits light, and the transparent back cover allows the light emitted by the light strip to pass through. The light emission control method includes: acquiring environmental information about the terminal's environment, including at least one of temperature, humidity, and ambient brightness; determining the light emission information of the light strip based on the environmental information, including the light emission parameters of the light strip and / or the target area of ​​the light strip; and controlling the light strip to emit light based on the light emission information. The light emission control method provided by this application can indicate environmental information through a light strip on the back of the terminal without turning on the screen, making it very convenient for users to obtain the terminal's environmental information.

The application relates to the technical field of driving safety early warning, and particularly discloses a curve driving safety early warning method, a curve driving safety early warning system, a curve driving safety early warning device and a storage medium. The early warning method comprises the following steps: acquiring real-time driving state information of a vehicle, road parameter information of a curve where the vehicle is located and environment state information; calculating a first critical speed at which the vehicle does not slide on the curve and a second critical speed at which the vehicle does not roll over according to the road parameter information of the curve; acquiring real-time load information of the vehicle, and determining a wind speed correction coefficient and a load correction coefficient according to the wind speed and the real-time load information; calculating a safe vehicle speed of the vehicle in the curve; and determining an early warning strategy and executing the early warning strategy according to the safe vehicle speed, the real-time driving state information of the vehicle, the environment state information and driver state information. The application can deeply integrate driver characteristics, real-time vehicle states and multi-dimensional environment information, and can dynamically learn and optimize based on historical big data.

Embodiments of the present application disclose an image generation method and device, computer equipment and a storage medium; an image generation instruction can be received, the image generation instruction including image attribute information of a target image to be generated, environment information is obtained, the environment information is collected through a display device displaying the target image, data mapping is performed on the environment information through a preset image generation model, a content image corresponding to the environment information is generated, style features are extracted from at least one preset style reference image, content features are extracted from the content image, and the target image is obtained based on the fusion of the content features and the style features; in the embodiments of the present application, the image generation model can map the environment information to obtain the content image, the content features in the content image can be fused with the style features in the style reference image, and finally the target image is generated, so that a wallpaper image with rich content and various styles can be generated, and the visual experience of a user is improved.

A self-organizing swarm robot system and control method based on cellular soft and hard mechanisms are disclosed. The system includes several individual robots. Each robot includes an upper shell, a middle support, a lower support chassis, electrically driven legs, a magnetically connected actuator, a PCB control board, and light-emitting elements. The PCB control board is equipped with an ESP-NOW wireless communication module, a light sensor, and a multi-pose sensor. The magnetically connected actuator includes static and dynamic actuators alternately distributed along the circumference. This invention can simulate the adhesion force regulation and morphological expansion and contraction mechanism between biological cells, achieving dynamic control between swarm robots under mechanical action. It exhibits high flexibility and fast response speed, enabling multi-degree-of-freedom movement and posture adjustment in complex environments. By using ESP-NOW wireless communication technology in conjunction with light sensors and multi-pose sensors to construct a high-precision distributed sensing and control system, it supports the self-organization, collaboration, and task execution capabilities of swarm robots in weak information environments.

This invention discloses a cross-market information propagation optimization method based on hexagram position entanglement, specifically relating to the fields of information processing and data analysis. By performing time alignment and semantic embedding on multi-source information streams, a unified basic information feature vector is constructed, and further, a hexagram position state vector including positional parameters, sentiment parameters, and propagation potential parameters is established. Based on this, by calculating the coherence and coupling strength between different information sources, a hexagram position entanglement relationship matrix is ​​constructed, and entanglement feature parameters are extracted. Propagation evolution is predicted by combining historical propagation paths, obtaining propagation distortion and micro-scale delay offset features, and thereby achieving adaptive adjustment of propagation weights and time windows. This method can improve the temporal consistency and prediction accuracy of cross-market information propagation and is suitable for propagation optimization analysis in complex multi-source information environments.

The present invention provides a gaze information processing device, etc., that can make a driver aware of a dangerous situation that actually occurred, even if the driver was unaware of it and did not take any evasive action by the vehicle. [Solution] The system includes a gaze sensor 1 that acquires gaze information indicating the driver's line of sight, a microphone 2, a camera 2A, and a proximity sensor 2B that acquire situational information indicating the surrounding conditions of the vehicle, a surrounding situation detection unit 3 that detects the occurrence of a dangerous situation that could lead to an accident involving the vehicle based on the acquired situational information, and a determination unit 4 that determines the difference between the position of the viewpoint in the line of sight when the dangerous situation occurs and the location where the dangerous situation occurs, based on the detected gaze information indicating the line of sight.

This disclosure relates to a VR system and control method. The VR system includes a VR device, a positioning device, a control device, and an environmental feedback device. The positioning device is communicatively connected to the control device; the control device is communicatively connected to the environmental feedback device; the environmental feedback device is deployed in a target physical space; the positioning device determines the position of the VR device in the target physical space; the target physical space includes a reference position; the control device, in response to the position of the VR device in the target physical space, determines the distance between the VR device and the reference position; and outputs control information based on the distance between the VR device and the reference position; the environmental feedback device, in response to the control information, switches its own operating state. Because the environmental feedback device is deployed in the target physical space, the environmental perception signal output by the environmental feedback device carries environmental characteristics during its propagation in the target physical space, which can improve the user's immersion in the virtual reality experience.

The application discloses a kind of natural language-based double-hand remote control method and device, the method includes: obtaining the user current voice request of user execution target task and manual control information;User current voice request is handled using large language model, and target skill matched with analysis result is inquired from pre-set skill base;If the query result represents that there is target skill matched with analysis result;Then based on the main, auxiliary mechanical arm body sensation information of real-time input, environmental perception information, target skill, using control strategy generator to process, generate auxiliary mechanical arm control strategy;Control main mechanical arm executes the first operation corresponding with manual control information and controls auxiliary mechanical arm to execute the second operation corresponding with auxiliary mechanical arm control strategy.

The present disclosure relates to a device operation method and device, an electronic device, and a storage medium. The method includes obtaining current time-related information of at least one target device in operation; collecting, based on a plurality of preset data collection modules, a plurality of target data of a space in which the at least one target device is located in real time; inputting the current time-related information and the plurality of target data into a preset fusion module, performing data fusion on the plurality of target data based on an analysis of respective corresponding weights of the plurality of target data based on the current time-related information, and obtaining fused operation feature information, environment feature information, and object feature information of a target object; inputting the operation feature information, the environment feature information, and the object feature information into a preset operation analysis module, analyzing an operation mode of the at least one target device, and outputting a device operation mode to control operation of the at least one target device. The embodiments of the present disclosure can improve the reliability, economy, and efficiency of device operation.

This disclosure provides a method, apparatus, electronic device, storage medium, and computer program product for determining positioning status, relating to the field of computer technology, specifically to fields such as intelligent driving, map navigation, intelligent transportation, large-scale models, and robotics, and applicable to positioning scenarios. The specific implementation scheme is as follows: Based on the final positioning status of the target object at the previous moment and the inertial data of the target object between the previous moment and the current moment, the predicted positioning status of the target object at the current moment is determined; a predictive environmental information of the target object in the predicted positioning status is determined through an environmental prediction model, which represents the correspondence between the positioning status and the environmental information; based on the difference between the predicted environmental information and the actual environmental information of the target object at the current moment, the predicted positioning status is adjusted to determine the final positioning status of the target object at the current moment. This disclosure improves the accuracy and precision of positioning status.

This application provides a haptic feedback method and vehicle, applied in the field of vehicle human-machine interaction technology. The method includes: responding to a user's touch operation on a display screen; acquiring functional attribute information of a target button corresponding to the touch operation, the functional attribute information including the button's danger level and / or importance level; determining a target haptic feedback mode and an initial haptic feedback intensity corresponding to the target haptic feedback mode based on the target button's functional attribute information; acquiring vehicle context information, the vehicle context information including at least one of vehicle operating status information, environmental information, and occupant information; correcting the initial haptic feedback intensity based on the vehicle context information to obtain a target haptic feedback intensity; and executing haptic feedback based on the target haptic feedback intensity. This application can effectively reduce the time the driver's gaze remains on the display screen, reduce the risk of driver distraction, and thus significantly improve driving safety and human-machine interaction experience.

The present disclosure provides a data processing method for a vehicle, a training method and device of a data processing model, equipment, a medium and an autonomous vehicle, relates to the field of artificial intelligence, and in particular to the technical field of autonomous driving and computer vision. The specific implementation scheme of the data processing method for the vehicle is as follows: a perception network is used to encode scene data and motion data of the vehicle to obtain element features of environmental elements in a scene where the vehicle is located; the scene data is obtained based on original data collected by sensors on the vehicle; an aggregation network is used to aggregate the element features and map data corresponding to the location of the vehicle to obtain aggregated features; and a decoding network is used to decode the aggregated features to obtain a prediction result for the vehicle, wherein the prediction result includes prediction trajectory information of the vehicle, and at least one of the following information: structured information of the environmental elements, prediction position information of the environmental elements at a future time.

The application discloses a safety monitoring method, device and equipment of an unmanned cabin and a medium, and relates to the technical field of monitoring. The method comprises the following steps: acquiring real-time image data, real-time audio data, real-time environment sensing data and real-time access control data of a target cabin; performing image enhancement processing on the real-time image data to obtain target image data, and performing noise reduction processing on the real-time audio data to obtain target audio data; performing target detection processing on the target image data to obtain cabin visual state information; performing acoustic event recognition processing on the target audio data to obtain cabin audio event information; calculating an environment change rate according to the real-time environment sensing data and historical environment sensing data; and determining a safety monitoring result of the target cabin based on the cabin visual state information, the cabin audio event information, the environment change rate and the real-time access control data. The technical scheme of the embodiment of the application effectively improves the accuracy of the safety monitoring result of the unmanned cabin.

This application discloses a method, apparatus, and electronic device for processing motion assistance information. Relating to the field of intelligent motion, the method includes: determining the physiological state characteristics of a target user based on physiological indicator data at a target time; determining environmental state characteristics based on the target user's location information at the target time; determining M target weights for M evaluation dimensions based on the physiological state characteristics and environmental state characteristics; generating dynamic prompts based on the M target weights, physiological state characteristics, environmental state characteristics, and preset role information, and inputting the dynamic prompts into a large language model to obtain playback information for motion assistance information; and playing the motion assistance information to the target user based on the playback information. This application solves the problem of low accuracy and matching degree in related technologies that generate motion assistance information based on preset static templates.

This invention discloses a keyword extraction method and system based on knowledge graphs and user intent awareness, belonging to the fields of natural language processing and multimodal artificial intelligence. The method includes: parsing multimodal data input by the user through an intent awareness module to identify the user's query intent; dynamically adjusting the keyword extraction strategy based on the intent using a large language model to achieve cross-modal keyword extraction for text, images, and audio; and outputting keyword results highly consistent with the user's intent. The system correspondingly includes a user input layer, an intent parsing layer, a keyword extraction layer, a multimodal data fusion layer, a dynamic adjustment layer, and an output layer. It overcomes the shortcomings of existing keyword extraction technologies in processing multimodal data, understanding user intent, and dynamic response, significantly improving the accuracy, relevance, and personalization of keyword extraction, and is suitable for intelligent retrieval and analysis tasks in engineering fields and other complex information environments.

This invention relates to the field of information transmission, specifically disclosing a computer artificial intelligence information filtering method, including: S1, an environmental information acquisition step, collecting voice information, environmental information, and device status information in the environment; the device status information includes the device's on / off status information and working status information; S2, an environmental information association step, performing text recognition on the voice information to obtain text information, then extracting object keywords from the text information according to a preset object keyword library, and marking them in the text information, then extracting operation keywords from adjacent text information according to a preset operation keyword library, centered on the marked object keywords; if operation keywords can be successfully extracted, the extracted object keywords and operation keywords are combined with the environmental information and device status information. The technical solution of this invention can greatly improve the efficiency and accuracy of user intent recognition, enhancing the user experience.

This application discloses a communication operation execution method, apparatus, terminal, and network-side device, belonging to the field of communication technology. The communication operation execution method of this application includes: a terminal receiving first information sent by a network-side device, the first information being determined based on a first database, the first database including target information associated with location information, the target information including at least one of the following: channel information, environmental information, beam information, artificial intelligence (AI) unit related information, and configuration information of the target device; the terminal performing a first operation based on the first information, the first operation being used to manage the AI ​​unit.

Detection and mitigation of data source compromises in an adversarial information environment, featuring the ability to scan for, ingest and process, and then use relational, wide column, and graph stores for capturing entity data, their relationships, and actions associated with them. Metadata is gathered and linked to the ingested data, which provides a broader contextual view of the environment leading up to and during an event of interest. Data quality analysis is conducted as data is ingested in order to identify if a data source may be compromised. The results are used to manage the reputation of the contributing data sources.

The application is suitable for the field of automatic driving technology, and provides a driving video generation method based on a space-time factorization architecture and hybrid modulation, which comprises the following steps: obtaining a condition set corresponding to each time frame and each view angle, obtaining a diffusion input latent variable, obtaining a space-time fusion feature, and finally obtaining a future multi-view driving video sequence.The application has the advantages that image information, environmental structure information and vehicle control intention are uniformly included in the same generation framework, the expression ability of the model for a complex driving environment is improved, the controllability of the generation process is enhanced while reducing the computational complexity, the stability of the generation result in terms of spatial structure, time continuity and multi-view consistency is improved, and more reliable scene information support is provided for environment prediction, behavior planning, auxiliary decision-making and simulation training and other applications in the automatic driving system.

This disclosure relates to search recommendation, multi-agent collaboration, and mapping, particularly to a hotel recommendation method, device, electronic device, and storage medium based on multi-agent collaboration. The specific implementation involves: a first agent recalling candidate hotels based on acquired user profile information, environmental information, and user search intent; a second agent evaluating the candidate hotel set, and if the set does not meet user needs, sending feedback to the first agent, triggering the first agent to regenerate the candidate hotel set until it meets user needs; and a third agent ranking the candidate hotel set to generate a recommendation result. This disclosure continuously optimizes the recommendation result through the interaction and feedback mechanism between agents, automatically generating recommendation results that meet user personalized preferences and scenario requirements without manual rule intervention.

The application provides an air conditioner control method and device, an air conditioner and a storage medium. The environment temperature and the environment humidity where the air conditioner is located are acquired. If the environment temperature and the environment humidity meet the enabling condition of a first preset database, the first preset database is queried to acquire the target setting parameter corresponding to the environment temperature and the environment humidity, and the air conditioner is controlled to operate according to the target setting parameter. The outlying points corresponding to the historical setting parameters are analyzed, the first preset database is created according to the target historical setting parameter corresponding to the outlying points in the historical setting parameters, the enabling condition of the first preset database is set, the environment information (the environment temperature and the environment humidity) is judged through the enabling condition, the first preset database is enabled for the air conditioner intelligent control, the rationality and comprehensiveness of the air conditioner database creation are enhanced, and the air conditioner intelligent control precision is improved.

This invention relates to the field of autonomous driving technology and provides a driving video generation method based on a spatiotemporal factorization architecture and hybrid modulation. The method includes steps such as: obtaining a set of conditions corresponding to each time frame and each viewpoint, obtaining diffused input latent variables, and obtaining spatiotemporal fusion features, ultimately obtaining a future multi-view driving video sequence. The advantages of this application are that it unifies image information, environmental structure information, and vehicle control intent into a single generation framework, improving the model's ability to express complex driving environments; it enhances the controllability of the generation process while reducing computational complexity; and it improves the stability of the generated results in terms of spatial structure, temporal continuity, and multi-view consistency, providing more reliable scene information support for applications such as environmental prediction, behavior planning, decision support, and simulation training in autonomous driving systems.

[Problem] According to the present invention, an operation for searching for an object using a plurality of moving bodies can be more appropriately or more efficiently performed even in an outdoor area with a relatively large environmental disturbance. [Solution] The present invention is a control system that searches for an object in a desired area by controlling a plurality of ships equipped with a measurement sensor, the control system comprising: a request information acquisition unit that acquires search request information including a request condition of the search; an environmental information acquisition unit that acquires environmental information relating to the desired area; a search effectiveness estimation unit that estimates the search effectiveness relating to the search by the plurality of ships on the basis of the environmental information; a search plan determination unit that performs, on the basis of the search request information and the search effectiveness, at least one of a determination relating to whether or not a search satisfying the request condition can be executed, and generation or update of a search plan for a search satisfying the request condition; and an information output unit that outputs a display or notification of information including a determination result by the search plan determination unit, or outputs a command based on the determination result.

The application provides a cross-domain multi-modal information source perception distribution method and system, and belongs to the technical field of multi-source information management; firstly, the method quantitatively calculates the information demand similarity between different user groups; secondly, the score weight of the similar group is migrated to the target group based on the similarity to generate high-quality initial weight; then, the user group is innovatively modeled as a time-varying probability distribution in a feature space, and an evolutionary dynamics equation fused with the influence of information diffusion field is used to model and predict the dynamic evolution process thereof; finally, a model predictive control framework is adopted, and based on the prediction of the future group state, the score weight is prospectively optimized and adjusted; the application realizes intelligent migration of scoring knowledge among groups, dynamic and accurate prediction of user demand, and rapid response to information environment mutation, and significantly improves the adaptability, accuracy and user experience of the information distribution system.

The present application relates to the technical field of image processing, which can be applied to business scenarios such as financial technology, and discloses an event authenticity verification method, device, equipment and medium, comprising: based on the event description text information and the on-site certificate media file in the transaction declaration request, analyzing the claimed space-time information and extracting the actual collection space-time information, and performing physical authenticity verification. In the case of passing the verification, the environment feature of the on-site certificate media file is analyzed and the historical environment reference data is obtained, the event description text information, the environment feature information and the historical environment reference data are input into a multi-modal reasoning model, a logical consistency analysis result is generated and a corresponding processing operation is performed. The present application introduces a multi-modal consistency analysis mechanism to jointly verify text, image and objective environment information, thereby improving the accuracy of abnormal transaction identification, reducing the need for manual review, and improving the efficiency and reliability of automatic processing of financial technology business.

This invention relates to an information scene perception multi-task federated learning incentive method and system based on game theory and reinforcement learning. It acquires the utility of clients and servers, determines the type of information scene, and in open information scenes, employs a game theory-based incentive mechanism to model the client-server utility optimization problem as a resource pricing and purchasing game, determining the client's pricing strategy and the server's purchasing strategy. In closed information scenes, it employs a multi-agent reinforcement learning-based incentive mechanism to model the client-server utility optimization problem as a Markov decision process, determining the client's pricing strategy and the server's purchasing strategy. Formal federated learning training is then performed based on the client's pricing strategy and the server's purchasing strategy until a predetermined number of training rounds are reached. Compared with existing technologies, this invention significantly improves the adaptability and overall utility of the federated learning system in different information environments.

The application discloses a method for early-stage business cooperation of key projects, comprising the following steps: 1) collecting current key project information, including project basic information, spatial geographic information, industrial layout information, supporting facility information, environmental impact information and policy and regulation information; 2) constructing a key project map based on the current project information by using a geographic information system; 3) in the project planning stage, planning a key project in line with a regional development strategy based on the key project map; in the project site selection stage, determining a project site selection scheme by considering land utilization, traffic conditions and environmental impact factors based on the key project map; and in the project approval stage, an approval party calls project spatial information and related data in the key project map to approve the project site selection. The application forms a planning leading project generation and key project early-stage business cooperation mechanism, and provides protection for key project spatial resource element management.

Embodiments of the present disclosure disclose an environment-aware intelligent glasses split-screen display method, device and electronic equipment. A specific implementation of the method includes: collecting environment image information, environment audio information and motion state information; performing keyword extraction to obtain a set of attention keywords and a set of dialogue keywords; inputting the environment image information and the environment audio information into an environment perception model to generate first environment state information and second environment state information; performing motion state correction on the first environment state information to obtain third environment state information; fusing the first environment state information, the second environment state information and the third environment state information to obtain a comprehensive environment determination result; generating a display mode instruction; generating auxiliary information content; rendering the auxiliary information content and driving a display screen to display. The implementation can solve the problem of unnatural human-computer interaction and reduce the security risks existing in the use process.