32 results about "Information synthesis" patented technology

The invention relates to the technical field of natural language processing, in particular to a verifiable large model retrieval enhancement generation system and method based on an evidence chain, and the method comprises the steps: receiving an initial query, recognizing the fuzziness and information gap of the initial query in combination with an associated retrieval document, and generating a supplementary query set; based on the initial query, the supplementary query and the corresponding retrieval document, generating candidate answers with references and verifying the information supportability of the candidate answers; for the candidate answers passing the verification, extracting support information and constructing a hierarchical attribution mapping relation; and integrating the information to form to-be-evaluated information, and if the current verified to-be-evaluated information meets a preset sufficiency condition, integrating the generated preliminary answer and the to-be-evaluated information to synthesize a target answer. The method effectively overcomes the defects that a traditional RAG system is fragmented in information integration, has one-sided fuzzy query and answer, is low in attribution efficiency and excessively depends on retrieval content, and has the advantages of answer comprehensiveness, verifiability and deployment lightweighting.

This invention discloses a secure voice-based intelligent customer service system and interaction method based on a multi-agent architecture. The system includes an ASR (Automatic Speech Recognition) module, multi-layered security barriers, a main retrieval agent, a specialized retrieval agent cluster, a parallel retrieval and result aggregation module, an LLM (Limited Language Modeling) synthesis engine, and a TTS (Text-to-Speech) module. Through multi-agent system architecture and methodological design, this invention achieves modular processing, parallel retrieval tasks, and closed-loop security control. By enabling independent calls between input, output, agents, and inference stages via multi-layered security barriers, the system effectively mitigates risks such as prompt word injection, indirect injection attacks, harmful content generation, and information leakage. Sensitive information identification, access permission verification, and content compliance review are embedded in each stage of input, retrieval, information synthesis, and output to prevent sensitive data leakage and meet the application requirements of high-security business scenarios (such as finance, telecommunications, and government services).

This invention provides a multi-sensor information fusion method and apparatus for multi-target recognition scenarios, relating to the field of intelligent sensing technology. The method includes: acquiring multi-sensor point cloud data for each target to be identified through a sensor system; performing polarization slicing on the multi-sensor point cloud data to obtain corresponding multi-path information slices; performing spatiotemporal synthetic polarization coding on the multi-path information slices to obtain a synthetic coding stream formed by multiple polarization codes; and calling a spatiotemporal neural network model to extract multi-scale semantic information of the target to be identified from the synthetic coding stream for alignment evaluation of each target. This invention addresses the shortcomings of existing multi-sensor systems in multi-target recognition scenarios, such as low information coding efficiency, prolonged data processing time, and severe information synthesis distortion.

The invention relates to an information synthesis system comprising: - at least one information receiving means (R1, R2) for receiving text (T), audio (A) and / or video (V) files; - a means (C) for converting a multimedia file (A, V) into text in order to obtain at least one converted file (FC); - a first artificial intelligence (AI) model for analyzing the text file (T) and / or the converted file (FC), and for generating a mental map (CM) on the basis thereof, the first artificial intelligence (AI) model being constructed by machine learning from construction data comprising reference files (T1, T2, …, Ti, A1, A2, …, Ai, V1, V2, …, Vi), as well as corresponding reference mental maps (CM1, CM2, … CMi); the invention further relates to a method and a computer program based on such a system.

The application relates to the technical field of natural language processing, in particular to an evidence chain-based verifiable large model retrieval enhancement generation system and method, which comprises the following steps: receiving an initial query, identifying the ambiguity and information gap of the initial query in combination with associated retrieval documents, and generating a supplementary query set; generating a cited candidate answer based on the initial query, the supplementary query and the corresponding retrieval document, and verifying the information supportability of the cited candidate answer; extracting supportable information from the verified candidate answer and constructing a hierarchical attribution mapping relationship; integrating the above information to form to-be-evaluated information; if the to-be-evaluated information currently verified satisfies a preset sufficiency condition, integrating a generated preliminary answer and the to-be-evaluated information to synthesize a target answer. The application effectively solves the defects of the traditional RAG system, such as information integration fragmentation, one-sided query answering, inefficient attribution and excessive dependence on retrieval content, and has the advantages of comprehensive answer, verifiability and lightweight deployment.

The present invention provides, for example, a novel mechanism that can minimize the user burden for coordinating an LMS and an image forming apparatus. [Solution] The image forming apparatus comprises: an acquisition unit that acquires the cooperation status between a learning management device and a predetermined image forming apparatus; a first determination unit that determines whether or not there is a predetermined image forming apparatus that is not cooperated with the learning management device using the cooperation status; a synthesis unit that, if the first determination unit determines that there is a predetermined image forming apparatus that is not cooperated, synthesizes identification information that can identify the number of inputters who input information into the managed sheet into the data for forming the managed sheet; and an output unit that outputs an image using the data.

Embodiments of the present application disclose an information processing method and device. The method comprises: extracting key text information for multimedia data from description text information; obtaining data attribute information of the multimedia data, and selecting a target cover template for the multimedia data from a cover template set according to the data attribute information; obtaining first cover information of the multimedia data, and performing information synthesis on the key text information and the first cover information according to the target cover template to obtain second cover information of the multimedia data. By using the embodiments of the present application, the content of the second cover information of the multimedia data can be enriched, and the relevance between the content of the second cover information and the content of the multimedia data can be improved. The method disclosed in the present application can also be applied to the field of natural language processing technology, for example, the key text information is extracted from the description text information by using the natural language processing technology.

The invention relates to a multi-interface mobile application evaluation method and device based on a multi-modal model, and belongs to the field of mobile application quality testing. The method comprises the steps of test item collection, information extraction, review information synthesis, information analysis and result filtering and output, specifically, test link collection is completed through a graphical user interface proxy technology, accurate information extraction is completed based on a multi-modal large language model and tool calling, and the result is output. User demand analysis and review task planning are completed through multi-agent cooperation, deep consistency analysis is completed based on thinking chain reasoning, and finally a high-quality problem report is output through an intelligent filtering mechanism. According to the method, automatic extraction, intelligent analysis and systematic evaluation of cross-page information are realized, the problem of information inconsistency in the mobile application can be efficiently identified, the pertinence and effectiveness of problem discovery are improved, the high confidence of a test result is ensured, the manual review pressure is relieved, and technical support is provided for application quality optimization.

The present application relates to the technical field of image data transmission, in particular to a kind of intelligent laser obstacle clearing instrument remote monitoring system, laser radar depth and pixel data are collected and generate obstacle space positioning set, according to depth difference generation monitoring picture partition mark chart, set difference compression ratio and generate partition encoding transmission package, monitor transmission performance and correct generation encoding data package, fusion obstacle information synthesis remote monitoring picture data package.The present application, fusion laser radar, depth sensor and camera data, generate obstacle space positioning set under unified coordinate, realize the accurate acquisition of position and form, divide area by depth difference, detail area low compression ratio coding, ordinary area high compression ratio coding, reduce redundant transmission and improve efficiency, combined with link real-time adjustment to cope with delay packet loss and distortion, ensure image stability and quality, in remote monitoring fusion obstacle information and image, realize state accurate display, improve system responsiveness and reliability.

An information processing system according to the present disclosure comprises: a reception unit that receives, from a user, subjective evaluation information relating to speech evaluation, and designation of a speaking style; a generation unit that, on the basis of the subjective evaluation information and the designation of the speaking style, converts a low-dimensional embedding vector corresponding to the speaking style adjusted by the user to generate a high-dimensional speaking style embedding vector; and a speech synthesis unit that synthesizes speech from the speaking style embedding vector and text information defining speech to be synthesized.

The invention relates to the technical field of image processing, and discloses an image processing method, a readable storage medium, electronic equipment and a program product. In the method, a rendering thread of a first application which is currently operated by the electronic equipment and needs to display first image data in a first image frame can send first information to a synthesis process used for synthesizing a display interface in the electronic equipment before rendering of the first image data is completed, for example, before the rendering thread executes an instruction of a beginDraw stage. After receiving first information sent by a first application, a synthesis process can respond to the first information to execute an instruction of a preparation stage before synthesis, and synthesizes and displays a first image frame after all display contents corresponding to the first image frame are rendered. Because the synthesis process starts to execute the instruction of the preparation stage before synthesis before the first image data is rendered, the time consumed by the electronic equipment for drawing, rendering and synthesizing one frame of image can be reduced.

A system is provided.SOLUTION: The system includes a server means for managing profile information about a user, a stuffed toy type terminal means provided with a microphone, a voice recognition device and a voice synthesis device and providing a voice interface with the user, a communication means for communicating with the server means, a position information device for acquiring position information of the user, a weather information acquisition means for acquiring weather information from an external weather information providing means on the basis of the acquired position information, a voice output means for voice-synthesizing the acquired weather information and providing it to the user.SELECTED DRAWING: Figure 1

The application discloses a handheld spectral sensor signal fidelity method and a related device, and relates to the technical field of spectral detection. The method comprises the following steps: acquiring a measured spectral signal measured by a handheld spectral sensor; identifying a deviation prediction signal based on the measured spectral signal and a deviation signal identification model; and determining a spectral signal after removing the deviation prediction signal based on the measured spectral signal and the deviation prediction signal, wherein the deviation signal identification model is obtained by training a machine learning model based on a sensor deviation feature training set; the sensor deviation feature training set comprises m*n information pairs, each information pair comprises synthetic spectral information and label information; the synthetic spectral information is obtained by synthesizing one unbiased reference information in a set of unbiased reference information and one deviation information in a set of deviation information; the deviation information comprises deviation information generated under the influence of an environment and hardware; and the application can improve the signal fidelity precision of the handheld spectral sensor.

The invention discloses a commodity information generation method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining corresponding multi-source heterogeneous data for a target commodity, and carrying out the preprocessing of the multi-source heterogeneous data; calling a preset rule base to perform intelligent information generation processing on the preprocessed multi-source heterogeneous data to obtain standardized data; wherein the rule base comprises a commodity template base, a product naming rule base, a code generation rule base and a luminosity generation rule base; performing information synthesis on the standardized data to obtain a standard data packet; and verifying the standard data packet, and outputting the standard data packet passing the verification as commodity information of the target commodity. According to the method, the problems of low generation speed, lack of one-key import capability, high labor cost, high error cost and the like in a commodity information generation mode can be effectively solved, the commodity information generation efficiency is remarkably improved, and quick generation and one-key batch import of the commodity information are realized.

The invention discloses a radar interference signal classification and identification method based on multi-dimensional, multi-domain and multi-frame feature extraction. The radar interference signal classification and identification method comprises the implementation steps that a randomized interference identification training framework is built; performing multi-dimensional signal feature cross-domain joint extraction to form a high-dimensional feature vector; constructing a distance-speed dimension motion state mapping matrix; the high-dimensional feature vector and the mapping matrix are fused, and a classification recognition model is trained; and outputting the radiation source interference type label. According to the method, a randomized interference identification training framework is used, an identification sample library covering a continuous parameter space is constructed, multi-dimensional and multi-domain feature information of multi-frame data is comprehensively extracted, a high-dimensional feature vector is synthesized, and a classification model is trained in combination with a distance-speed dimension motion state mapping matrix. Accurate identification of the type of the active interference in a complex electromagnetic environment with suppressing interference and pull-off deception interference is realized.

A data communication network includes a data communication node, an imaging device, and an information handling system. The data communication node establishes a data connection with a user equipment device. The imaging device provides image information for a coverage area associated with the data communication node. The information handling system is coupled to the data communication node and to the imaging device. The information handling system receives the image information, synthesizes a 3D map of the coverage area based upon the image information, receives first coverage information from the first data communication node, correlates the first coverage information with the 3D map to generate a coverage map of the coverage area, and determines a first location of the first user equipment device within the coverage map based on the image information.

The invention discloses an emergency equipment health state monitoring and early warning method and device based on data analysis, and the method comprises the steps: starting a multispectral imaging system according to the archive age and material characteristics, and synthesizing multi-channel information into a high-fidelity digital image through a spectrum fusion algorithm; carrying out character detection on the scanned image according to the CRNN neural network model, and carrying out correction and enhancement on characters; generating a bar code according to the data of the archive; generating a self-adaptive watermark according to the archive image; storing the aggregated multi-dimensional hash value according to the block chain; and the consistency of the block chain evidence and the local data is verified, the authenticity of the evidence is verified, and the security of the digital paper archive is ensured. Through multi-dimensional hash value aggregation and timestamp binding, existence, integrity and sequential proof of strong legal efficacy is provided for electronic archives.

The application provides a kind of multi-agent confrontation cooperation and iterative generation method and device, it is related to artificial intelligence technical field, wherein the method comprises: based on the task demand information of target task, determine the heterogeneous intelligent agent cluster of executing target task;Trigger the multi-round confrontation cooperation iteration of heterogeneous intelligent agent cluster to target task in shared semantic environment, and in the case where confrontation cooperation iteration reaches preset convergence condition, based on the record information in shared semantic environment, determine the output result of target task.Through triggering heterogeneous intelligent agent cluster to carry out multi-round confrontation cooperation iteration in shared semantic environment, the structured confrontation and complementary cooperation between different role agents are utilized, and self-determination high-quality output in complex innovation task is realized.Based on the record information in shared semantic environment, the output result is synthesized, to ensure that the final output fully integrates multi-dimensional reasoning results, and the reasoning quality of complex task is significantly improved.

The invention relates to the technical field of vehicle-mounted video synthesis, in particular to an automobile data recorder video synthesis method, device and equipment and a medium, an automobile data recorder comprises a camera, the camera is connected with an intelligent driving domain controller, the method is applied to a cabin domain controller, and the method comprises the following steps: acquiring a first coded video stream transmitted by the intelligent driving domain controller, the first coded video stream is generated by performing video coding on original image data transmitted by a camera by the intelligent driving domain controller; acquiring vehicle driving information, generating a driving information image, and performing video coding on the driving information image to generate a second coded video stream; and inserting the coded data of the second coded video stream into a preset image region position of the target frame in the first coded video stream, and generating a fused driving record video stream. Therefore, the problems of high system resource consumption, poor function reusability and poor user experience in related technologies are solved, and the efficiency of synthesizing the multi-path high-definition driving video and the driving information and the user experience are improved.

The invention discloses a coal mine water disaster risk early warning method and system based on big data, and relates to the technical field of mining safety monitoring, and the method comprises the steps: carrying out the entity relation extraction and fusion processing of coal mine multi-source historical geological data, and constructing a coal mine hydrogeological map; performing semantic analysis and structured recombination on the coal mine multi-source real-time data, and outputting a coal mine monitoring data set; injecting the coal mine monitoring data set as a dynamic updating element into the coal mine hydrogeological map to form a coal mine hydrological space-time map; identifying a water disaster risk conduction path in the coal mine hydrological space-time map by adopting a path migration algorithm, and outputting a water inrush coefficient path set; and carrying out risk level mapping and early warning information synthesis on the water inrush coefficient path set, and integrating and outputting a coal mine water disaster risk early warning report. According to the method, dynamic map updating and risk path mining are combined, and the coal mine water disaster risk is spanned from static assessment to dynamic deduction.

The application relates to a multi-interface mobile application evaluation method and device based on a multi-modal model and belongs to the field of mobile application quality testing.The method comprises the following steps: test item acquisition, information extraction, review information synthesis, information analysis, and result filtering and output, specifically, test link acquisition is completed through a graphical user interface agent technology, accurate information extraction is completed based on a multi-modal large language model and tool calling, user demand analysis and review task planning are completed through multi-agent cooperation, deep consistency analysis is completed based on thought chain reasoning, and finally, a high-quality problem report is output through an intelligent filtering mechanism.The application realizes the automatic extraction, intelligent analysis and systematic evaluation of cross-page information, can efficiently identify information inconsistency problems in a mobile application, improves the pertinence and effectiveness of problem discovery, guarantees the high confidence of test results, reduces the pressure of manual review, and provides technical support for application quality optimization.

The invention provides a vehicle-mounted configuration word editing method and device based on bit offset and mask operation, and the method comprises the steps: obtaining a bit field description file of a configuration word of a vehicle ECU, and converting the configuration word in the bit field description file into a first target format; in response to a received modification request for the configuration word, determining a modification condition input by a user, and determining a target function bit in the corresponding configuration word based on the modification condition; the method comprises the steps of obtaining function bit information of a target function bit from a bit field description file of a first target format, calculating new function bit information of the target function bit, synthesizing the new function bit information of the target function bit into the bit field description file to modify the target function bit, and determining and generating modified configuration words based on all modified function bits.

The invention relates to the technical field of information synthesis, in particular to a system and method applied to uploading medicine minimum package traceability code information, and the system comprises a code generation module which generates character code information associated with a medicine traceability bar code based on medicine production information; the code printing module is used for printing the character code information on 2-4 outer surfaces of the minimum medicine package; the traceability relation database is used for storing the corresponding relation between the traceability code and the character coding information; the image acquisition device is used for acquiring a medicine packaging image containing character coding information; the recognition processing module is used for carrying out asynchronous background processing on the image and recognizing character coding information; the association module is used for associating the drug traceability code with the prescription information according to the character code information and the corresponding relationship; and the data uploading module is used for uploading the associated drug traceability information to a supervision system. The problems of time and labor consumption, low efficiency, high labor cost and difficulty in adapting to large-scale drug circulation scenes of traceability information acquisition can be solved.

The invention relates to the technical field of speech semantics, and discloses a speech synthesis method, device and equipment for hierarchical emotion condition control and a medium, and the method comprises the steps: extracting three layers of acoustic feature vectors through a feature extraction model, and determining three layers of emotion distribution; generating to-be-synthesized text information through the original text information; and synthesizing the three-layer emotion distribution and the to-be-synthesized text information to generate target synthesized voice information. By means of the mode, the hierarchical emotion distribution is constructed by generating the three-level timestamps and extracting the acoustic feature vectors. The quality problem caused by alignment error accumulation is eliminated through a speech synthesis model, three-layer emotion distribution and to-be-synthesized text information are fused through a cross attention mechanism, and intensity values of phonemes, words and sentences are adjusted. The method can be applied to the business fields of financial science and technology, medical health, old-age care and the like, and the voice synthesis accuracy of a voice synthesis system in combination with user emotion is improved.

To realize a new technology for performing multiple image processing operations using a support program in an information processing device that incorporates a general-purpose printing program. [Solution] When a print command is output from the editing application 43, the general-purpose printing program 41 generates intermediate data based on the image to be printed, and the auxiliary program 42 obtains the intermediate data and the print settings corresponding to the print command from the general-purpose printing program 41. The auxiliary program 42 performs a synthesis process to synthesize composite information such as watermarks into the intermediate data according to the print settings obtained from the general-purpose printing program 41, and after the synthesis process, it performs a layout process to reduce the size of images from multiple pages and place them on a single sheet of paper, or to divide an image from one page so that it is printed on multiple sheets of paper. Furthermore, the auxiliary program 42 controls the printer 2 to perform printing based on the edited image.

This application discloses a voice enhancement method and apparatus, an electronic device, and a storage medium. The method includes: extracting first excitation information and first envelope information from a first frequency domain signal corresponding to a first voice signal, where the first voice signal includes a noise signal and a first clean voice signal; performing optimal excitation codebook matching on the first excitation information to obtain second excitation information; performing optimal envelope codebook matching on the first envelope information to obtain second envelope information; synthesizing target spectral information based on the first excitation information, the second excitation information, and the second envelope information; and performing voice enhancement processing on the first voice signal based on the target spectral information.

To achieve high-quality live streaming without requiring the introduction of specialized software or equipment, while reducing the burden on the broadcaster. [Solution] The game live streaming system of this disclosure is a game live streaming system that realizes live streaming via a web browser using the streamer's terminal, and comprises: a screen information acquisition unit that acquires screen information specified by the streamer's terminal; a storage unit that stores the streamer's avatar information; an avatar information acquisition unit that acquires the streamer's avatar information from the storage unit; a synthesis control unit that controls the web browser to synthesize the screen information and the streamer's avatar information to generate synthesized information; and a distribution control unit that distributes the synthesized information generated by the synthesis control unit to the viewer's terminal.

The present application relates to a kind of building drawing evaluation data synthesis methods based on topology reconfiguration and large model, the method includes: obtaining building plan image, utilize multimodal vision model to extract the polygon boundary and bounding box coordinates of space instance, door and window component and text scale;Based on the theory of computational geometry, using polygon centroid formula, minowski and inflation algorithm and Boolean intersection operation, the topological relationship of space attribution, physical adjacency and functional connectivity in drawing is automatically reconstructed;Coordinate information is synthesized into structured drawing fact list;The fact list is input into the multimodal large language model as prior hard constraint, combined with visual correction mechanism and multi-step logic tracking constraint template, to automatically synthesize multi-level question and answer evaluation dataset.The present application effectively solves the problems of high cost of logical association of building drawings, natural language reference ambiguity and serious illusion in professional field of large language model, and realizes large-scale low-cost mass production of high-quality building evaluation data.