44 results about "Information synthesis" patented technology

In a described embodiment, a multi-agent system for processing information is provided including a data processing agent configured to ingest and normalize raw data inputs to produce standardized data and a standards integration agent configured to apply reporting standards into the standardized data thereby generating integrated reporting standards. The system further includes a performance alignment agent configured to align performance indicators based on the standardized data and the integrated reporting standards and an information synthesis agent configured to process narrative information from the standardized data and the integrated reporting standards. An orchestration framework configured to manage operations of the data processing agent, the standards integration agent, and the performance alignment agent to produce a regulatory repot compliant with regulatory requirements is further provided. The orchestration framework is further executable by a large language model.

The invention discloses a transparent object six-degree-of-freedom grabbing method based on RGB-D multi-mode information fusion, and mainly relates to the technical field of computer vision and robot grabbing. An RGB-D camera is used for shooting an RGB image and a depth image of a transparent object, after the depth image is corrected through a depth completion network, RGB two-dimensional image information and depth information are synthesized into a point cloud, the pose of the clamping jaw for grabbing the transparent object is obtained through a 6D grabbing pose estimation algorithm, and the clamping jaw is deployed on a real object mechanical arm for grabbing; according to the invention, the perception capability of the system to the transparent object is obviously improved, the problem that the depth acquisition effect of the existing RGB-D sensor to the transparent object is poor is solved, six-degree-of-freedom flexible grabbing is realized, and the adaptability and robustness of the system in processing various transparent objects are improved.

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.

The invention discloses a halftone image reversible information hiding and extracting method and device and a medium, and relates to the field of image encryption, and the method comprises the steps: obtaining an original halftone image and original secret information; using a Hash algorithm to calculate summary information of the original halftone image; synthesizing the summary information with the original secret information to form to-be-hidden secret information, and storing the to-be-hidden secret information as a secret image; encrypting the original halftone image by using a ZUC encryption algorithm to obtain an encrypted halftone image; according to the encrypted halftone image, using a polynomial secret sharing algorithm to obtain N shared original images; according to the secret image, utilizing a polynomial secret sharing algorithm to obtain N shared secret images; and synthesizing the N shared original images and the N shared secret images to obtain N secret-carrying shared images. According to the method, the applicability, the confidentiality and the correctness of halftone image sharing are improved.

In described embodiments, there is provided a multi-agent system for processing information, comprising a data processing agent configured to ingest and standardize raw data input to produce standardized data, and a standard integration agent configured to integrate the standardized data with the standard integration agent. The standard integration agent is configured to apply a reporting standard to the standardized data to generate an integrated reporting standard. The system also includes a performance alignment agent configured to align performance metrics based on the standardized data and the integrated reporting criteria, and an information synthesis agent configured to process narrative information from the standardized data and the integrated reporting criteria. An orchestration framework is also provided that is configured to manage operation of the data processing agent, the standard integration agent, and the performance alignment agent to generate regulatory reports that comply with regulatory requirements. The orchestration framework may also be executed by a large language model.

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 invention provides a multi-sensor information fusion method and device for a multi-target recognition scene, and relates to the technical field of intelligent perception, and the method comprises the steps: obtaining multi-sensor point cloud data of each to-be-recognized target through a sensor system, and carrying out the polarization slicing of the multi-sensor point cloud data, and obtaining a corresponding multi-path information slice; performing space-time synthesis polarization coding on the multi-channel information slices to obtain a synthesis coding stream formed by multivariate polarization codes; and calling a space-time neural network model to extract multi-scale semantic information of the to-be-identified targets from the synthesized coding stream, wherein the multi-scale semantic information is used for performing alignment evaluation on each to-be-identified target. The method is used for overcoming the defects that in the prior art, a multi-sensor system in a multi-target recognition scene is low in information coding efficiency, long in data processing time delay and serious in information synthesis distortion.

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 application relates to the technical field of data processing. In particular, the application relates to an information processing method, device and medium. The method comprises the following steps: in response to an access request about target information sent by a corresponding first user equipment, obtaining one or more first target identification information and second target identification information according to target identity information; for each target encryption block, sending an acquisition request about the target encryption block to a corresponding target storage node; receiving one or more target encryption blocks sent by one or more target storage nodes; and sending the one or more target encryption blocks to the first user equipment, so that the first user equipment uses a first private key corresponding to a first public key to decrypt each target encryption block, and performs information synthesis on the decrypted one or more target encryption blocks according to an information synthesis rule. Through the fragmentation and distributed storage mode, information security is realized, and the purpose of fine control of the information viewing range is achieved.

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.

The embodiment of the invention provides a data processing method, electronic equipment, a computer readable storage medium and a computer program product, and the method comprises the steps: obtaining original signaling of each reference point in a network system; determining an original internet log of each reference point according to the original signaling; and under the condition that the original internet surfing log does not comprise the network type label, performing associated information synthesis processing on the original internet surfing log to obtain a target internet surfing log. According to the technical scheme, the increasingly refined online log monitoring requirement can be well met.

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.

Existing approaches to understanding, developing, and researching modern wireless communication technologies involve time intensive and arduous processes of sifting through numerous webpages and technical specification documents, gathering the required information and synthesizing it. The present disclosure describes a conversational artificial intelligence tool for information synthesis of wireless communication specifications. The system builds on recent advancements in foundation large language models (LLMs) and consists of three key additional components: a domain-specific database, a context extractor, and a feedback mechanism. The system appends user queries with concise contextual information extracted from a database of wireless technical specifications and incorporates tools for expert feedback and data contribution. On evaluation using a benchmark dataset of expert queries and responses, the system provided more relevant and accurate answers on topics related to modern wireless communication specifications with a BLEU (BiLingual Evaluation Understudy) score of 0.28 compared to 0.03 achieved by current state-of-the-art LLM-based systems.

A data processing method, an electronic device and a computer-readable storage medium. The data processing method comprises: acquiring original signaling of each reference point in a network system; on the basis of the original signaling, determining an original network log of each reference point; and, when the original network logs do not comprise a network type label, performing associated information synthesis processing on the original network logs to obtain a target network log.

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.