611 results about "Information type" patented technology

The invention provides an Internet of Vehicles key information classification early warning method and a vehicle-mounted device. The Internet of Vehicles key information classification early warning method comprises the steps: acquiring Internet of Vehicles information of a target vehicle; determining current driving state information of the target vehicle according to the Internet of Vehicles information; and determining the type of information sent to the target vehicle according to the driving state information. According to the invention, the information with different emergency degrees can be sent to the user according to the current driving state information, multi-channel grading early warning is realized according to the information type, and the effects of assisting driving, promoting safety and improving user experience are achieved.

The invention discloses a dynamic sensitive information filtering system and method based on context semantic understanding, and relates to the technical field of information security and natural language processing. Comprising the steps of 1, creating a dynamic sensitive information filtering system, 2, carrying out cleaning, structuring and standardization processing on an input text through a text preprocessing module, 3, capturing deep semantic features of preprocessed text data through a semantic feature extraction module by utilizing a deep learning model, constructing a context-associated semantic representation space, and carrying out dynamic sensitive information filtering on the context-associated semantic representation space. 4, performing multi-level sensitive information detection based on the semantic features through a sensitive information identification module, and identifying the type, the position and the risk level of the sensitive content; 5, on-line iteration of knowledge base and model ability is carried out through a dynamic updating module to cope with dynamic changes of sensitive information types, and 6, safety disposal is carried out on detected sensitive information through a result output module, a filtering result is output, auditing tracing ability is provided, and the auditing tracing ability is provided. And 7, forming a system optimization closed loop through a feedback mechanism module according to user feedback and manual auditing, wherein the system optimization closed loop is used for continuously improving the detection accuracy and adaptability.

The invention discloses an intelligent vehicle-mounted application adjusting method and system based on a driving scene, and relates to the field of vehicle-mounted application, and the method comprises the steps: obtaining current real-time driving data, current external environment information and current position information, and matching a user behavior mode of a current vehicle in a preset behavior mode database according to the current real-time driving data, identifying a driving scene of a current vehicle according to the current external environment information and the current position information, and predicting an information type and a presentation mode required by a current driver according to the user behavior mode and the driving scene, and determining an information presentation mode and information presentation time in a preset application database according to the information type and the presentation mode, and presenting all the vehicle-mounted applications according to the information presentation mode and the information presentation time, and by implementing the method, the driving experience of a driver can be improved in a complex driving scene.

A method and apparatus comprising computer code for video processing, the method including setting a first value of a text description purpose parameter in a bitstream, the first value of the text description purpose parameter indicating a type of information included in a text description information string in the bitstream; setting artificial intelligence (AI) marking information associated with one or more pictures in the bitstream as the text description information string when the first value indicates that the type of information included in the text description information string comprises marking information associated with one or more artificial intelligence processes used; signaling the text description purpose parameter in the bitstream; and signaling the text description information string.

The invention discloses a medical question-answering method, device, equipment and program product, and is applied to the technical field of medical question-answering. The method comprises the following steps: acquiring a disease image and disease chief complaint information; performing feature extraction on the disease image and the disease chief complaint information to obtain pathological visual features and chief complaint text features; performing feature fusion on the pathological visual features and the chief complaint text features to obtain target fusion features; determining a dynamic cue word template based on the information type of the target fusion feature; and inputting the dynamic cue word template and the disease image into a preset large language model, and generating a medical question and answer result by the large language model. According to the method, a complete, dynamic and adaptive cue word template is generated according to the consistency or conflict fuzziness embodied by the multi-modal information, so that the dynamic cue word template can further put forward a more complex task with question and answer guidance to a large language model, the pertinence and depth of medical question and answer are improved, and the medical question and answer efficiency is improved. And the precision of medical questions and answers is effectively improved.

A device may receive first information associated with one or more properties, and second information associated with one or more properties, where the first information is of a different information type than the second information. The device may generate a first graph network based on the first information, and a second graph network based on the second information. The device may combine the first graph network and the second graph network to generate a combined network including a portion of the first information and a portion of the second information. The device may generate an embedding based on the combined graph network. The device may apply the feature embedding as input to a housing model to generate an output.

Method and device for managing security in a computer network include algorithms of iterative intelligence growth, iterative evolution, and evolution pathways; sub-algorithms of information type identifier, conspiracy detection, media scanner, privilege isolation analysis, user risk management and foreign entities management; and modules of security behavior, creativity, artificial threat, automated growth guidance, response / generic parser, security review module and monitoring interaction system. Applications include malware predictive tracking, clandestine machine intelligence retribution through covert operations in cyberspace, logically inferred zero-database a-priori realtime defense, critical infrastructure protection & retribution through cloud & tiered information security, and critical thinking memory & perception.

The invention relates to the technical field of computers, in particular to a hardware topological information processing method and device, equipment and a medium. According to the method, the information type and the node identifier are carried when the query request is received, so that a developer can accurately query the hardware topology information of the specific node, and blind search and repeated work are avoided. Secondly, after the information type is determined to be the topological information type, hardware topological information of the target node is obtained from a database, the database comprises information of different nodes, and the target hardware topological information is determined according to a topological configuration file of the target node, so that the accuracy and pertinence of the information are ensured. Therefore, in the development process, developers of different groups can quickly obtain the detailed hardware topology information of the required nodes through the scheme, the situation that development and debugging are repeatedly carried out due to hardware adjustment is reduced, and the development efficiency and the code reusability are improved.

The present disclosure generally relates to generating and / or modifying text using a digital assistant. This disclosure encompasses a system for requesting information before generating text using models based on the type of information needed. This disclosure further encompasses a system for a remote model requesting additional information before generating text. This disclosure encompasses user interfaces for text generation / modification. This disclosure encompasses a system for proofreading text using a model. This disclosure encompasses a system for generating a response to a received communication with operations for updating the generated response.

The embodiment of the invention provides an interaction method and device, equipment and a storage medium. The method comprises the following steps: playing a target video associated with a first object; if the interaction information of the target video meets a preset recommendation condition, in response to a recommendation triggering operation, displaying an object recommendation page which is used for displaying object information of the first object and object information of a plurality of second objects; the number of information types in the object information of the first object is larger than the number of information types in the object information of the second object, and / or the display mode of the object information of the first object in the object recommendation page is different from the display mode of the second object. Through the technical scheme of the embodiment of the invention, the recommendation page containing different objects can be accurately displayed, the accuracy of page display and the diversity of object recommendation are improved, different recommended objects can be effectively and quickly distinguished, and the interaction efficiency is improved.

The present disclosure generally relates to generating and / or modifying text using a digital assistant. This disclosure encompasses a system for requesting information before generating text using models based on the type of information needed. This disclosure further encompasses a system for a remote model requesting additional information before generating text. This disclosure encompasses user interfaces for text generation / modification. This disclosure encompasses a system for proofreading text using a model. This disclosure encompasses a system for generating a response to a received communication with operations for updating the generated response.

The present disclosure relates to systems, non-transitory computer-readable media, and methods for using artificial intelligence to facilitate electronic communication between participants. For example, in one or more embodiments, the disclosed systems use artificial intelligence models to generate and provide a communication summary describing the contents of a communication. To illustrate, the disclosed systems can generate a transcript for a communication and use various computer-implemented models, such as a large language model or a set of categorization models to generate a communication summary for the transcript. In some instances, the disclosed systems use a summary template with the categorization models to incorporate certain pre-configured types of information into the communication summary.

Techniques and solutions are provided for providing alerts to users when information changes, particularly information associated with a knowledge graph. A user can define an intent, where the intent describes the type of information for which a user desires to receive alerts. The intent can be specified directly with respect to knowledge graph elements, or the intent can be specified in another manner and mapped to such elements. A listener is implemented for the intent. A knowledge graph is periodically reviewed for updates. Updates that are relevant to a particular user intent cause the associated listener to be triggered, and information regarding the update is then provided to the user.

The invention discloses a multi-source heterogeneous big data acquisition and processing method based on federated learning, and belongs to the technical field of data management, and the method comprises the steps: building a traffic system Internet of Things equipment data acquisition module and a data transmission module, and collecting traffic system data in real time; a local data storage and processing module is arranged in the data transmission network to receive, process and store traffic system data collected in real time; training the local data to obtain a local optimization model; the trained local optimization model parameters are uploaded to a server, and the server obtains an aggregation model based on the initialized global optimization model and the received local optimization model parameters and issues the aggregation model to the traffic system Internet of Things devices; and each traffic Internet of Things device monitors and analyzes the traffic system data in real time based on the aggregation model, obtains abnormal information types in the traffic system, and formulates corresponding response strategies of systems corresponding to the Internet of Things terminals according to different abnormities.

The invention provides a vehicle display method, a vehicle display device, a vehicle and a storage medium, and relates to the field of vehicles. The method comprises the steps of obtaining a current display mode of a head-up display system in a vehicle; detecting whether the vehicle starts an auxiliary driving function; if the auxiliary driving function is started, switching a current display mode to a target display mode; wherein the display information type of the target display mode comprises the information type of the environment where the vehicle is located; and controlling the head-up display system to display in the target display mode. Based on the scheme, the intelligent driving experience of the user can be improved when the auxiliary driving function of the vehicle is started.

The invention relates to the technical field of natural language processing, can be applied to the fields of financial public opinion monitoring, compliance review, risk prevention and control and the like, and provides a multi-modal sensitive word processing method and device, a storage medium and computer equipment. Comprising the steps of obtaining to-be-published information and a pre-constructed knowledge base, wherein the information type of the to-be-published information comprises at least one of an image, a text, an audio and a video; performing sensitive word recognition on the to-be-published information based on a large language model and a sensitive word knowledge base to obtain a recognition result; when the sensitive content exists in the to-be-published information, determining replacement information corresponding to the sensitive content based on the enterprise-level knowledge base, the replacement information being used for replacing the sensitive content in the to-be-published information to obtain target published information; and when the sensitive content does not exist in the to-be-published information, determining the to-be-published information as target published information. According to the embodiment of the invention, automatic compliance review of cross-modal content is realized, the manual review cost is effectively reduced, and the accuracy and timeliness of sensitive information processing are improved.

The invention discloses a vehicle laser radar and camera combined external parameter calibration method and system, and the method comprises the steps: obtaining laser point cloud information, video information, radar point cloud information, differential positioning information, navigation information and vehicle attitude information in the driving process of a target vehicle; the information is subjected to time synchronization and information alignment of a signal level based on a gPTP protocol, information type fusion, attribute fusion, topology fusion and logical reasoning are carried out, target parameter information is obtained, finally, the target parameter information serves as a true value control group to be compared with initial external parameter calibration parameters of a target vehicle, and the target parameter information is obtained. Invalid values in the initial external parameter calibration parameters are screened out, and the combined external parameter calibration parameters are obtained. According to the method, the combined external parameter calibration of the vehicle laser radar and the camera can be realized in the driving process, and when the position of the intelligent driving sensor on the target vehicle deviates, deviation compensation can be carried out through non-inductive real-time external parameter calibration, so that the vehicle use experience of a user is improved.

Some embodiments of a method may include: obtaining a message corresponding to a mesh, wherein the message comprises a set of attribute information and an information type field; parsing the message for the information type field; and storing at least one attribute index based on the parsed information type field.

An Internet domain designates a Domain Authority (DA) via a DNS record as a consolidated and trusted entity for collecting, validating, storing, and distributing domain-related information, including devices associated with the domain, services it provides, capabilities it supports, identities acting on its behalf, and policies governing access to its resources. The DA performs cross-category validation to ensure consistency across these information types and may publish information into DNS for compatibility, serve it dynamically through APIs, or deliver it over other secure channels. By inheriting DNS's trust model while replacing its rigid record-based structure with a unified and extensible framework, the DA provides stronger and more flexible management of domain data while enabling incremental deployment of new Internet security and capability features.

The invention relates to the technical field of information encryption and decryption, in particular to an image information encryption and decryption method and software system based on a digital image steganography technology. According to the technical scheme, the method comprises the following steps that a carrier image format and a to-be-processed information type are determined, the carrier image format comprises a PNG image and a JPEG image, and the to-be-processed information type comprises text information, picture information and audio information; encrypting the plaintext information to generate ciphertext information; and selecting a corresponding steganography path according to the format of the carrier image, embedding the ciphertext information into the carrier image, generating an encrypted image, and generating a key file recording the embedded related information. According to the method, various image formats and information types are supported, the compatibility, safety, robustness and practicability of information encryption and decryption are improved through key encryption, face binding verification and a compensation mechanism for JPEG, and the method is suitable for scenes such as information protection and private transmission.

The present disclosure generally relates to generating and / or modifying text using a digital assistant. This disclosure encompasses a system for requesting information before generating text using models based on the type of information needed. This disclosure further encompasses a system for a remote model requesting additional information before generating text. This disclosure encompasses user interfaces for text generation / modification. This disclosure encompasses a system for proofreading text using a model. This disclosure encompasses a system for generating a response to a received communication with operations for updating the generated response.

The invention provides an information search method and device, equipment and a storage medium. Relates to the financial science and technology field or other related fields. The method comprises the steps of obtaining an initial question input by a user; preprocessing the initial problem to obtain a plurality of problem keywords, a target problem and semantic vectors of the initial problem; according to the plurality of question keywords, the target question and the semantic vector, obtaining a plurality of answers corresponding to the initial question in a knowledge base through a plurality of recall modes; determining the correlation degree between each answer and the initial question, the information type of each answer and the recall mode of each answer; determining a plurality of answers to be selected in the plurality of answers according to the association degree between each answer and the initial question, the information type of each answer and the recall mode of each answer; the initial question and the to-be-selected answers are processed through the preset model, the target answer corresponding to the initial question is obtained, and the information searching efficiency is improved.

The present disclosure provides an exemplary method, system, and computing device that may include the steps of receiving a first indication that information of a user has been detected at one or more dark web resources; classifying the item of the compromised information into an information type category; receiving a permission indicator to detect communications by the computing device; receiving a second indication of a communication; receiving a third indication that the user engages an interaction with the communication; instructing the computing device to execute a technique to obtain data for the communication; receiving the data for the communication; determining the communication is a spam communication; determining a current information type category being discussed during the spam communication; making a determination that the current information type category corresponds to the information type category; and instructing a graphical user interface to display an alert to the user.

The invention discloses a risk management and control method for cross-domain interaction of power data. The method comprises the following steps: deploying a pre-trained sensitive information identification model at a data exit gateway to identify a sensitive information type and a risk level; dynamically matching a desensitization strategy according to the risk level, and executing hierarchical desensitization operation; performing attribute-based encryption operation on a core field of the desensitized data, wherein an access attribute of a receiver is defined by a logic combination of a role attribute and a domain attribute; data are transmitted through a cross-domain secure channel based on a block chain, and decryption can be performed only when and only when a private key binding attribute set of a receiving party meets a logic combination access strategy predefined by a sender. According to the method disclosed by the invention, the risk of sensitive information leakage in cross-domain interaction of the power data is solved, hierarchical protection, dynamic access control and transmission integrity verification of the sensitive data are realized, and the security of data sharing of the power system is remarkably improved.

The invention provides a finite element simulation method and device for a strike-slip fracture stratification deformation process, and relates to the technical field of geological structure deformation simulation research, the method comprises the steps that a strike-slip fracture stratification initial geometric model is established, the strike-slip fracture stratification initial geometric model is used for reflecting actual geological conditions, and the strike-slip fracture stratification initial geometric model is used for simulating the actual geological conditions; corresponding rock stratum material attributes are given to the strike-slip fracture layering initial geometric models corresponding to different stratums; setting a rigid body shell according to corresponding binding constraints between stratums, binding the rigid body shell to the bottom of the strike-slip fracture layering initial geometric model, endowing the rigid body shell with relative displacement of a preset distance, and simulating strike-slip fracture layering deformation according to preset analysis steps by adopting displacement loading control; in the analysis step, target information is output according to a preset output information type; according to the target information, a visual simulation result is created, and the visual simulation result is used for representing the stratified deformation evolution process of strike-slip fracture.

The invention discloses an e-commerce information intelligent recommendation system and method based on data analysis, and relates to the technical field of information recommendation, and the recommendation method comprises the following steps: collecting each e-commerce information browsing process of a user after user authorization, and generating a corresponding information browsing record; performing feature extraction on user behavior information and browsing information generated in any information browsing record; determining the information category of each piece of browsing information, analyzing the preference condition of each information category, and carrying out information layering on each information category; performing association analysis on the user behavior and the browsing information in the information browsing record to obtain the information browsing density of the user, and presetting an expected recommendation density for the user; when the user browses the e-commerce information, corresponding information recommendation proportions are distributed to various information types, and real-time browsing density is obtained; and comparing with a preset expected recommendation density, and adjusting subsequent information recommendation.

The invention relates to the technical field of data processing, in particular to a chronic disease monitoring method, system and device and a storage medium, comprising: acquiring disease information of a patient, and determining the disease category of the patient according to the disease information; obtaining a to-be-collected information type associated with the illness state type according to the illness state type; acquiring follow-up visit body parameters of the patient according to the type of the to-be-collected information and a preset return visit period; establishing follow-up visit body change trend information according to the follow-up visit body parameters; performing trend prediction on the follow-up visit body change trend information based on a preset prediction period to obtain body prediction change trend information of the patient in the prediction period; generating a monitoring analysis result according to the body prediction change trend information and the illness state information; by setting the fixed return visit period, collecting the specific return visit indexes of the patient and combining the indexes and the illness state, the illness state development trend of the patient is predicted, and therefore the monitoring efficiency of the chronic disease patient in the treatment process is improved.

The invention discloses a publication public information base using method and system, corresponding public information database tables are respectively created through public information types obtained through analysis, and then public information corresponding to the public information base types is respectively input based on the created public information database tables. And converting the public information stored in the public information database table into a corresponding XML file by referring to an XML file data structure to be referenced, storing the converted XML file into a corresponding public information base, and referencing the XML file in the public information base through a data referencing component to use the corresponding public information.

The invention discloses a multi-modal knowledge graph entity alignment method based on information screening in combination with LLM fine tuning, and belongs to the technical field of knowledge graph reasoning. An existing method has defects in learning different types of information between entities and neglects the negative influence of complementary information between the entities in different knowledge maps on entity alignment, and the method comprises the following steps: firstly, providing an information screening learning framework based on text information types; and learning a semantic information relation between different text information types in the knowledge graph. Then, a prompt for a multi-modal knowledge graph entity alignment task is designed, and an entity alignment result based on representation learning is optimized. Experimental results on the multi-modal knowledge graph data sets FB15K-DB15K and FB15K-YAGO15K show that the multi-modal knowledge graph entity alignment method based on the combination of information screening and LLM fine tuning is effective.

The invention discloses a mobile network intrusion detection early warning method and a mobile network intrusion detection early warning system based on artificial intelligence, and relates to the field of network intrusion detection. The numerical feature information data of the data packet in the to-be-detected mobile network is judged from two perspectives of real time and future, so that intrusion protection measures can be taken in time and possible intrusion in the future can be predicted in advance, and the security of the to-be-detected mobile network is further ensured; wherein the numerical value feature information types susceptible to network intrusion in the initial data packet feature information type set are screened, and an acquisition basis is provided for subsequent acquisition of numerical value feature information data of data packets in historical network intrusion for constructing a final network intrusion severity level mapping equation.