458 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.

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 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 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 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.

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 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 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.

The invention provides an information recommendation method and device, electronic equipment, a storage medium and a program product, and is applied to the technical field of artificial intelligence. The method comprises the steps that first feature data of a first user and first multi-source behavior data of the first user are acquired; inputting the first feature data, the first multi-source behavior data and a pre-constructed thinking chain prompt template into a pre-trained reasoning model, and reasoning the first feature data and the first multi-source behavior data according to the thinking chain prompt template through the reasoning model, and predicting a target information type in which the first user is interested. According to the method, through the multi-source behavior data and the thinking chain prompt template, the prediction accuracy of the reasoning model on the information type interested by the user is improved.

The embodiment of the invention discloses a communication method and device, a computer readable storage medium and electronic equipment, and belongs to the technical field of communication. The method comprises the steps of obtaining first information and an information type of the first information, and generating second information based on the first information and the information type; sending the second information to the first relay terminal so as to forward the second information to a second target terminal in a local area network where the first relay terminal is located through the first relay terminal; the second target terminal is one or more other terminals except the first target terminal in the local area network. Therefore, each terminal in the local area network can realize free communication of various types of information in a network-free environment, so that various communication requirements of a user are met, and the use experience of the user is effectively improved.

A communication method and device, used for improving the data transmission efficiency. A data communication proxy in a 3GPP network may support a plurality of transmission protocols. The method comprises: a data communication proxy receiving a first subscription message from a first network element in a 3GPP network, the first subscription message being used for subscribing to data of a first information type; receiving first data from a second network element in the 3GPP network, wherein the first data is data of the first information type, and the first data is encapsulated by a first transmission protocol among a plurality of transmission protocols; and sending the first data to the first network element. Data transmission is directly carried out by means of a data communication proxy, so that the data transmission efficiency is improved. Moreover, the data communication proxy supports a plurality of transmission protocols, so that different service scenes can be met.

To provide a three-dimensional data multiplexing method, a three-dimensional data reverse multiplexing method, a three-dimensional data multiplexing device and a three-dimensional data reverse multiplexing device are provided which appropriately multiplex dot group data and transmit multiplexed data.SOLUTION: A three-dimensional data processing method includes: generating output signals for a predetermined file composition including multiplexed plural kinds of data and meta data obtained by multiplexing plural kinds of data containing three-dimensional data (S7311); and storing, in the meta data, kind information representing respective kinds of the plural kinds of data, and information associating the plural kinds of data with each other (S7312). The kind information includes positional information on a sensor when at least one kind of data among the plural kinds of data is generated, and angular information or time-of-day information on the sensor.SELECTED DRAWING: Figure 33

The present disclosure relates to a user equipment (UE) that comprises a processing circuitry, for determining assistance information to be transmitted to a base station. A transmitter transmits an assistance report to the serving base station comprising the determined assistance information. The assistance information indicates one or more of the following assistance information types: a number of information bits, to be transmitted by the UE to the serving base station; transport block size of a transport block to be used by the UE to transmit the information bits to the serving base station; a power level, indicating a minimum power to be used by the UE to transmit the information bits to the serving base station; one or more Discontinued Reception, DRX, configuration parameters to be used by the UE to operate a DRX mechanism.

A server may include one or more processors configured to receive, from a sender terminal associated with a sender account, a message transmission request requesting delivery of a message to a user account via a chatroom. The one or more processors determine a type of the message as one of a plurality of types, including an advertisement type and an information type, based on the message transmission request. Upon determining that the message is of the information type, the one or more processors transmit the message along with the information indicating a restriction on displaying at least a portion of content provided in the chatroom to a user terminal of the user account. This enables the user terminal to dynamically control the visibility of non-essential or promotional content, such as advertisements or service buttons, thereby enhancing the user experience by improving focus on critical or sensitive information.

The invention provides a molecular property prediction method and system, computer equipment and a storage medium, and belongs to the field of compound intelligent analysis, and the method comprises the steps: obtaining an SMILES character string of a to-be-recognized molecule; converting the character string to obtain a molecular object, extracting a fingerprint vector from the molecular object, and performing linear transformation processing to obtain chemical substructure features; constructing a two-dimensional molecular map based on the molecular object, and extracting features of the two-dimensional molecular map to obtain local topological structure features; rendering the molecular object to generate a molecular image and extracting image features; performing feature splicing on the chemical substructure features, the local topological structure features and the image features to obtain fusion features; mapping the fusion feature into an output space to determine a predicted value, and generating a molecular property prediction result of the to-be-identified molecule based on the predicted value. According to the method, complementation among different information types can be realized, more information of molecules can be explored from different angles, and the accuracy and the universality of predicting molecular properties are enhanced.