73 results about "Information Dissemination" patented technology

Techniques for generating AI-powered responses tailored to a specific entity's communication style. The techniques involve selecting a particular AI agent associated with an entity, receiving a user query, and generating an embedding from it. This embedding is used to retrieve relevant content from the entity's knowledge database. The entity's communication type is then determined. A large language model (LLM) prompt is created, combining the retrieved content and instructions to apply the entity's communication style. This prompt is submitted to an LLM service, which generates an output. A response based on this output is returned to the user. The techniques enable the creation of AI-generated responses that are both informative and aligned with the entity's preferred communication style, enhancing the consistency and effectiveness of AI-powered customer interactions or information dissemination for the entity.

To compare information transmission in an unspecified field with information extracted from another information source.SOLUTION: A non-transitory computer-readable recording medium storing a program for operating a computer, the program causing a processor of the computer to execute: receiving designation of a text; and extracting, from an information source available to an artificial intelligence system, at least one source text including a description similar to a designated text that is the designated text. Generating a prompt including an instruction to output information about the source sentence and an instruction to compare the extracted source sentence with a specified sentence, and presenting, to a user, the information about the source sentence and a result of the comparison between the specified sentence and the source sentence, based on an answer obtained from a large scale language model provided by an artificial intelligence system by inputting the prompt to the large scale language model.SELECTED DRAWING: Figure 10

The invention belongs to the technical field of network information processing, and aims to provide a cross-platform information propagation analysis method, system, equipment and product. The method comprises the following steps: performing multi-modal data acquisition processing from different platforms to obtain multi-source data, and constructing a knowledge graph according to the multi-source data; performing event topic mining processing and sentiment analysis processing on the knowledge graph to obtain event topic distribution information and a sentiment analysis result, and constructing a propagation graph according to the event topic distribution information and the sentiment analysis result; and obtaining an entity type set, an inter-entity relationship and an entity attribute according to the propagation atlas, and constructing a path tracing database according to the entity type set, the inter-entity relationship and the entity attribute so as to carry out cross-platform information propagation tracing based on the path tracing database. According to the method, cross-platform information propagation analysis can be realized, and the propagation path analysis capability is high.

1. The name of the design product: floor advertising machine (32 inches). 2. The use of the design product: the design product is used for advertising display and information dissemination. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

This application discloses a method for sharing a customized in-vehicle system function scheme, comprising: receiving a sharing request from an electronic device for a customized in-vehicle system function scheme that has been edited; querying the editing information of the customized scheme based on the scene identification code in the sharing request; encrypting the editing information to generate encrypted editing information; generating a sharing link carrying the encrypted editing information; and sending the sharing link to the electronic device, so that the customized scheme can be viewed and inherited by the recipient after sharing. The method for sharing a customized in-vehicle system function scheme of this application can disseminate the content and editing information of the customized scheme in the form of a sharing link through an encryption process, so that the recipient can view and inherit the customized scheme. This allows the content of the customized scheme and the editing information of the sharing party to be disseminated, reducing user operations and reducing the risk of information leakage during dissemination to a certain extent, making the information dissemination process more secure.

The utility model provides a municipal drainage well lid safety warning device, which belongs to the technical field of public safety and comprises a fixed frame, a sliding frame slidably sleeved on the outer surface of the fixed frame, a mounting frame fixedly connected to the top of the sliding frame and a plurality of warning screens fixedly mounted on the inner wall of the mounting frame through bearings. The display mechanism comprises a hand wheel arranged on the outer side of the sliding frame, a connecting shaft fixedly connected to the inner surface of the hand wheel, a first bevel gear fixedly arranged at the penetrating end of the connecting shaft in a sleeving mode, and a second bevel gear meshed with the outer surface of the first bevel gear. Through cooperation of all parts in the display mechanism, the height of the warning screen can be flexibly adjusted, meanwhile, the warning screen can intermittently rotate and display different faces, it is ensured that pedestrians and vehicles approaching a dangerous area from different angles can see warning information of the different faces of the warning screen more clearly, and the warning effect is improved. The information transmission range is expanded while the information visibility is improved.

A cross-chain architecture design and performance analysis method for large-scale Internet of Things based on IOTA blockchain, a multi-field, large-scale distributed Internet of Things, trusted, multi-chain, intelligent and efficient blockchain architecture is designed based on IOTA, which realizes low-cost trusted interconnection of blockchains in different fields and establishes a safe shared ecological model. The delay of one-hop transmission is derived using stochastic calculus theory. From the aspects of consensus time, throughput, security and cross-chain interaction efficiency, the performance of the new architecture is analyzed, providing a theoretical basis for the landing of blockchain. At the same time, in order to speed up information dissemination and reduce network overhead, a directional propagation method is proposed to replace the rumor algorithm of IOTA, reducing network overhead.

1. Name of the product in this design: Display Board (Ideological and Political Education). 2. Purpose of this design: This design is intended for use as a display board for ideological and political education information dissemination. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

The application relates to an international public opinion event information dissemination and control system based on artificial intelligence, and relates to the field of social communication science. The system can monitor, identify, analyze, track and effectively control the information dissemination in international public opinion events in real time. The system uses natural language processing (NLP), machine learning (ML), deep learning (DL) and other artificial intelligence technologies to deeply mine and understand massive cross-language and cross-platform data, thereby realizing accurate identification of public opinion events, intelligent analysis of dissemination paths, early warning and intervention of negative information, and guidance and amplification of positive information. The system aims to improve the control efficiency and accuracy of international public opinion events, maintain social stability, and provide decision support and action basis for relevant departments.

The invention discloses an MEMS vibration data acquisition and early warning information receiving and publishing method, each MEMS monitoring point becomes a miniature early warning information publishing node, a publishing network with the same density and wide coverage as a sensor network is formed, and the cost is effectively reduced; the earthquake early warning center server makes a decision and authorizes the monitoring point to issue early warning to the terminal user equipment in the preset range, and an innovative architecture of cloud decision and edge issuing is constructed, so that a long path for early warning information to arrive at a user from the center server through an operator network is omitted, and the early warning efficiency is improved. The end-to-end time from decision-making to reaching is greatly shortened, and the most precious second-level or even sub-second-level time is won for the area near the epicenter. Even if the communication with the central server is interrupted, the authorized monitoring point can still serve as an independent early warning beacon to play a role, and the early warning autonomy of a specific area is realized.

1. The name of the design product: community information propaganda device (LED screen). 2. The use of the design product: for community information propaganda. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.

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 application discloses a kind of information propagation heat prediction method based on community inside and outside dynamic evolution, method includes obtaining cascade diagram, constructs community graph structure, constructs community graph structure and information propagation heat prediction.The application belongs to social network data processing field, specifically refers to a kind of information propagation heat prediction method based on community inside and outside dynamic evolution, the scheme is based on the newly added participating node constructs instruction information and forms mask adjacent relationship, carries out community graph structure information propagation update on mask adjacent relationship and is aggregated to obtain community representation;Community graph structure is built, and the edge feature is extracted to the community interrelation and is encoded, and the community representation is updated on community graph structure to obtain intercommunity representation;Multi-head attention aggregation is generated to segmented cascade representation for intercommunity representation, combined with segmented growth statistics to form time series input and carry out sequence coding, output information propagation heat prediction result in future time window.

The application belongs to the technical field of information dissemination, and discloses a kind of time perception hypergraph learning-based multi-modal social media popularity prediction method, first, the method with time as core is used to retrieve the first K instance related to target UGC;Subsequently, by using UGC attribute, all related instances are connected together to form the hypergraph of target UGC;Second, a time-aware guided hypergraph Transformer is developed, which aims to capture the correlation between internal and cross-modal, and use time encoder to embed time information into information fusion process;Finally, a model containing two layers of feedforward neural network is used to predict the popularity of target UGC.The application explores the modeling of the time relationship of target user generated content (UGC), and enhances the representation of the target through multi-modal hypergraph aggregation, aiming to lead adaptive hypergraph construction by aggregating time-aware information to assist multi-modal popularity prediction.

We provide the system. [Solution] A means of identifying information sharing infrastructure in a specific region by analyzing data collected from information and communication networks in various countries, A means of translating product information into multiple languages ​​using translation tools and disseminating it on an information sharing platform in a specific region, A means of monitoring responses to transmitted information, acquiring relevant response information, and responding accordingly. An analytical means for analyzing acquired reaction information and measuring the effectiveness of information dissemination, A means of presenting multilingual promotional information based on purchase history and interests, A means of visualizing the presented information in the user's preferred language and making it widely shareable within a specific region, A system that includes this.

This invention discloses a method, device, and medium for fusing network active detection and computing power perception, belonging to the field of computing power network and mobile communication technology. The technical problem this invention aims to solve is how to obtain computing power information consistent with network information during computing network information perception, thereby improving the consistency and efficiency of computing network information dissemination. The technical solution adopted is as follows: In a computing power network scenario, computing power information is carried through protocol extensions in network active detection requests and responses: the entry node sends a computing power query request to the exit node, and the exit node replies with the computing power query result to the entry node; the exit node maintains an edge computing power information database, and the computing power information requested by the entry node is searched in the edge computing power information database; when the computing power service information changes and the change exceeds a set threshold, the exit node is notified; the exit node updates the edge computing power information database and notifies the entry node, through independent messages or network perception messages.

1. Name of the product in this design: Outdoor advertising machine. 2. Purpose of this design: for information dissemination, display, or interaction. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1. 5. The bottom surface of this product is a part that is not easily seen or cannot be seen during use, so the bottom view is omitted.

The application provides a cultural heritage information digital dissemination device and method, and relates to the technical field of digital dissemination devices.The device comprises a base, a display screen, a top seat and a support column.The base and the top seat are both circular structures.The support column is arranged at the center of the top seat and the base.The display screen is attached to the outer wall of the support column.The base is provided with a power supply mechanism and a controller.The display screen is electrically connected to the controller and is powered by the power supply mechanism.A glass cover is arranged between the outer ring of the base and the top seat.A rotating ring is arranged above the base.A display stand for displaying exhibits is arranged above the rotating ring.The display screen can be used for cultural introduction and display, animation demonstration and other operations.The exhibits are placed on one side of the display screen to make the experience more realistic and increase the visual effect.

The invention belongs to the field of information dissemination management, and discloses a node importance evaluation system based on information dissemination dynamics, which comprises a network modeling module for abstracting a social network into a directed graph, configuring a foundation for edges and enhancing two types of influence probabilities, and the latter is larger; a reverse reachable set generation module randomly selects a root node, generates a corresponding set through edge activation probability sampling reverse wide search, and records potential enhancement candidate nodes into a set at the same time; a propagation gain estimation module calculates and quantifies propagation expectation gain after node set enhancement according to multiple groups of independent set statistics; the enhanced node screening module iteratively selects k nodes with the maximum gain by a greedy algorithm according to a preset k value; and the result output module outputs a final enhanced node set. The method does not depend on seed nodes, adapts to a scene without a preset propagation starting point, and is wide in application range; the propagation gain of the screened enhanced node is prominent; based on the Chernov bound and the greedy strategy, estimation is reliable, the effect is stable, and the problem of performance fluctuation of a traditional heuristic algorithm does not exist.

This invention discloses a method for predicting user influence for rapid evaluation of information dissemination effects on social networks. The method includes: acquiring and preprocessing graph data of the target social network; inputting the preprocessed graph data and node features into a cascaded perceptron graph neural network, performing multiple rounds of cascaded perceptron message passing, and generating embedded representations of all candidate nodes in the target social network; inputting the embedded representations into a deep reinforcement learning policy network and evaluation network, using a Mannhausen reinforcement learning mechanism to calculate the value function of the current candidate node's action, and evaluating the influence potential of each candidate node; selecting the candidate node with the highest score based on the evaluation results and adding it to the seed set, and updating the node state mask; repeating the above steps until the seed set reaches a preset budget, and outputting the final influence-maximizing seed set. This invention significantly improves the accuracy of seed selection, decision stability, and computational efficiency.

The invention relates to the technical field of data analysis, in particular to a news propagation influence quantitative evaluation method and system based on data mining, and the system comprises a data collection and preprocessing module, a dynamic index management module, an intelligent modeling and analysis module, a causal inference and explanation module and a storage and retrieval module. In order to solve the problem that a traditional evaluation model is insufficient in scene adaptability due to the fact that a fixed weight and a linear attenuation hypothesis are adopted, a dynamic attenuation model and a reinforcement learning mechanism are introduced in the scheme, and chain reactions in the information spreading process are described through modeling of a self-excitation effect in a spreading event; on the basis, an evaluation index weight distribution mechanism is dynamically optimized in combination with an adaptive algorithm, so that the model can automatically adapt to rapid outbreak of sudden news and long-acting propagation characteristics of policy news, and a nonlinear rule presented in the propagation process is accurately captured; according to the method, the scene adaptability and timeliness of the evaluation result are effectively improved.

This invention relates to the field of information dissemination prediction technology and provides a method for predicting the popularity of user-generated content (UGC) based on retrieval-enhanced prediction (RAP). By constructing a UGC knowledge vector base and designing a retrieval-enhanced prediction (RAP) method, this invention employs a dual-path retrieval, high-speed recall, and a decoupled noise reduction architecture for the retrieved content, effectively solving the performance bottleneck problem of existing UGC popularity prediction methods. Specifically, the dual-path retrieval and re-ranking recall architecture addresses the long text representation bias problem; the decoupled noise reduction method in the downstream deep learning network module, which dynamically adjusts the feature fusion weights based on confidence, solves the retrieval noise interference problem; and the overall architecture design overcomes the strong coupling defect of the model, enabling the model to adapt to dynamic updates of the retrieval database, thus improving its versatility and generalization ability.

This invention relates to a method and system for health detection and early warning of communication towers, belonging to the field of communication tower detection technology. The method includes several steps: multi-source data acquisition, data preprocessing and fusion, risk prediction model calculation, multi-level early warning judgment, and alarm information dissemination. This invention achieves accurate and proactive tower health status perception and early warning. By using a Kalman filter algorithm to process high-frequency sampled tilt angle data and constructing a risk prediction model that integrates environmental and structural parameters, it achieves a fundamental shift from post-event alarms to pre-event early warnings, ensuring the system's continuous operation under extreme failure scenarios and constructing a multi-layered, three-dimensional security protection system.

The invention discloses an intelligent traffic guidance system based on risk grading management and control. A risk grading module performs risk grading on multi-source data by means of PCA, RFE and LSTM-GRU models; the traffic guidance module generates a road section level macro strategy and a lane level micro strategy according to the risk level, and equipment is coordinated by the Petri network; the information issuing module realizes effective information issuing through differentiated tone coding, laser attenuation compensation and information cognition load optimization; the operation guarantee module uses an LSTM-Autoencoder model to predict equipment faults, adopts a mode of combining edge deployment with cloud synchronization, and cooperates with dual-mode anti-interference communication to guarantee stable operation of the system. The method comprises the steps of risk grading, traffic guidance strategy generation, information release and operation guarantee. According to the system and the method, traffic risks can be accurately predicted, multi-mode cooperative guidance is realized, the intelligent level of traffic control in severe weather is improved, stable and reliable operation of the system is guaranteed, the accident rate is effectively reduced, and the system and the method are suitable for intelligent traffic management scenes of expressways.

The invention discloses a screensaver carousel method, device and equipment for a child infusion screen and a medium, and relates to the field of artificial intelligence, and the method comprises the steps: judging whether the child infusion screen enters a screensaver mode or not; if the child infusion screen enters the screensaver mode, determining an intelligent recommended screensaver based on historical operation records of the child infusion screen; and obtaining a pre-stored fixed content screensaver, and controlling the child infusion screen to play the intelligent recommendation screensaver and the fixed content screensaver in turn. According to the method, the intelligent recommendation screensaver is generated based on the historical operation record, so that the display content and the individual preference of the child patient form dynamic association, and the content suitability is remarkably improved; and meanwhile, in combination with a carousel mechanism of prestored fixed content screensaver, individual requirements are met, and standardized information output capability is reserved. By means of the technical means of collaborative playing of the two, double functions that a single device simultaneously bears customized service and public information publishing are achieved on the hardware level, and the problem that the information spreading efficiency is low due to screen protection content rigidity is fundamentally solved.

The invention discloses an information dissemination method and system based on a directed network information cascade model, and relates to the technical field of information dissemination. According to the method, the asymmetric influence of the directed edge is adjusted by introducing the attenuation factor, and the universality of the bidirectional link is quantified by introducing the probability of occurrence of the bidirectional edge, so that the cascade model based on the directed network information is provided, the parameter range of global cascade is widened, and the overall performance of the network is improved. The method solves the problems of insufficient elasticity, inaccurate prediction result and low efficiency of a current one-way information diffusion threshold model. Besides, the directed network information cascade model pertinently solves the problem of accuracy of information spreading objects and spreading effects when asymmetric influence is dominant in scenes such as public opinion event prevention and control, and provides an accurate opportunity judgment basis for risk intervention.

The invention relates to the technical field of Internet information dissemination, and particularly discloses an Internet advertisement guiding method, an Internet advertisement guiding device and an advertisement guiding system, which realize accurate delivery of advertisement guidance and improve the application efficiency of an advertisement guiding platform. The method comprises the following steps: an advertisement guidance platform receives internet advertisement information of an advertisement publisher, and confirms a transmission demand degree and a delivery target according to the internet advertisement information; matching a corresponding recommendation engine according to the putting target of the internet advertisement; the control end of the recommendation engine receives a guide signal of the user end or the request end and confirms whether the current internet advertisement information is effectively exposed or not: if not, generating a switching instruction, switching to other engines, and repeating; if yes, whether the exposure achievement rate of the internet advertisement information meets the requirement or not is judged, and if not, re-matching is triggered, and the last step is returned; and the control end of the recommendation engine generates a starting signal, and the display of the user end or the request end displays the current internet advertisement information.

1. Name of the product in this design: Intelligent Outdoor Advertising Machine. 2. Purpose of this design: This design is used for advertising and information dissemination. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

1. Name of the product in this design: Bulletin Board (Visual Communication). 2. Purpose of this design: For information dissemination. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention relates to a social network subject simulation system and method based on a large language model, and belongs to the technical field of cognitive social simulation. In order to fill up evolvable psychological and action mechanisms existing in the cognitive social simulation field, the social network subject simulation system and method are provided, virtual subjects with dynamic memory, reflection and social behavior capabilities are constructed, and interaction and information spreading of multiple subjects in a virtual social environment are realized. Therefore, the public opinion forming and spreading process in a real social network is simulated.