427 results about "Template match" patented technology

The invention provides a complex question and answer method and system based on adaptive task deconstruction and multi-modal evidence aggregation, belongs to the technical field of natural language processing, and designs a dynamic Few-shot prompt construction method based on dependency syntax fingerprints to ensure that a prompt template is matched with a question structure; the invention discloses a dynamic problem deconstruction method based on confidence evaluation and auto-reflection. The method comprises the following steps: recursively decomposing a problem tree by using a large language model; converting the problem tree into a standardized linear task execution sequence by a problem tree context dependence specification and task sequence generation method; obtaining a high-correlation evidence set of each task based on an evidence generation method of two-way recall and cross encoder rearrangement; and the task sequence is reasoned and dynamically optimized by a question answer extraction method based on double-strategy aggregation reasoning. According to the method, the accurate complex question and answer result can be provided on the premise of ensuring the question disassembling quality, restraining error propagation and comprehensively recalling evidences.

The invention discloses a multi-agent task arrangement method and system, and relates to the technical field of artificial intelligence. In the method, firstly, a task demand is obtained, key information and intention of the task demand are extracted, and task semantics are obtained; secondly, based on the task semantics and the business standard process template, obtaining a business standard process template matched with the task demand; then, according to the matched business standard process template and task semantics, a task context is constructed, and a domain specific language DSL is generated through reasoning according to the task context; thirdly, the DSL is analyzed, a task dependency graph is constructed according to the DSL analysis result, and the task dependency graph is converted into BPMN process model data; and finally, sub-task scheduling and execution of the sub-agents are carried out according to the BPMN process model data. According to the method provided by the invention, the dependence on professional developers or process engineers can be reduced, the response and planning time of complex tasks can be shortened, the result predictability can be improved, and the reasoning cost can be obviously reduced.

According to the automatic software development method and device and the computer program, intelligent demand analysis is achieved through a natural language processing technology, dynamic task arrangement is conducted through a finite state automaton, collaborative development is completed by means of a multi-specialized role agent, intelligent verification is implemented based on a template matching mechanism, and the development efficiency is improved. And a complete automatic closed loop from demand to delivery is constructed. According to the scheme, full-process automation is realized, manual intervention is greatly reduced, and the development efficiency is remarkably improved; through division and cooperation of multiple agents, the professionality and decision-making quality of each link are ensured, and the capability limitation of a single agent is overcome; flexible and reliable process control is provided based on state machine management, and development state changes are dynamically adapted; and the standard consistency of the delivery result is ensured by combining template verification. According to the method, the problems of long development period, large quality fluctuation and the like caused by chain splitting, low intelligent level and excessive dependence on manpower of an existing development tool are effectively solved, and a feasible path is provided for comprehensive intelligence of software development.

The invention relates to the technical field of software architecture design, and discloses a software architecture design method based on intelligent bionic implementation of a large model group. The method comprises the steps of obtaining software design requirement input; performing multi-level semantic analysis on software design requirement input to generate an initial component set and context environment description; based on the context environment description, candidate component knowledge related to the initial component set is retrieved from a distributed knowledge base; performing consistency verification on the candidate component knowledge and the initial component set by utilizing a dynamic inference engine to generate a verified component map; according to the verified component atlas, candidate software architectures are generated through an architecture template matching algorithm; and performing iterative adjustment on the candidate software architecture by adopting an optimization strategy, and outputting a target software architecture design. Through collaborative analysis and intelligent reasoning of the large model group, automation and intelligence of software architecture design are achieved, and the efficiency and quality of software design are improved.

The invention discloses a multi-rule template quintuple rule matching method and device based on an FPGA, and the method comprises the steps: storing a plurality of rule templates through a high-bandwidth memory, carrying out the cascading of the rule templates, and carrying out the rule matching of quintuple information in a to-be-processed message, carrying out the matching in a non-cascading / cascading manner, and carrying out the rule matching of the quintuple information in a to-be-processed message. And obtaining an action strategy of the to-be-processed message. The matching information of each template is flexible and configurable, a complex matching function is realized through cascading of the templates, the number of the templates is effectively reduced, and system resources are reduced.

The invention provides a target positioning method and system based on a distributed networking radar system, and belongs to the technical field of radars, and the method comprises the steps: controlling a plurality of radar nodes to transmit stepping linear frequency modulation continuous wave pulse signals, and collecting target echoes; carrying out band-pass filtering, pulse compression and fast time synchronization processing on the echoes, and generating interference-free data through a moving target extraction algorithm; realizing cross-node clock synchronization based on a moving target behavior cognition model and a template matching algorithm; constructing a multi-node distance estimation equation set, generating an accurate distance value through calibration broadband synthesis and FFT, and determining a target three-dimensional coordinate; and generating a motion track and speed prediction through Kalman filtering based on the target position sequence. The system comprises a signal emission and acquisition module, a signal processing module, a clock synchronization module, a distance estimation and coordinate fusion module and a trajectory prediction module. The method supports multi-target tracking, improves positioning precision and time synchronization precision, has few errors, and is compatible with any node deployment form.

The invention discloses an intelligent medical inquiry and medical record generation method and system based on multi-technology fusion, and the system comprises a specialized dynamic pre-inquiry module which is used for sequentially executing the analysis of a patient chief complaint, the matching of a dynamic template, the intelligent inquiry and the completion and verification of a knowledge graph according to a chief complaint text inputted by a patient, and obtaining the comprehensive information of the patient; the dual-drive medical risk control module is used for performing dominant and recessive risk identification based on a rule engine and a large model in combination with an RAG knowledge base according to the comprehensive information of the patient, and realizing a collaborative early warning closed loop; the voice structuring and medical record generation module is used for executing double-track voice separation and transcription, specialized structuring processing and multi-source data fusion and EMR template matching in the dialogue process of the patient and the doctor to generate a structured electronic medical record; and the system integration and performance optimization module is used for adapting to a hospital HIS / EMR system through a standardized interface and executing data preloading and cache optimization to guarantee the response performance of the system.

The invention discloses an intelligent workflow generation method and device, equipment and a storage medium, and the method comprises the steps: obtaining multi-modal demand information inputted by a user, carrying out the semantic understanding of the multi-modal demand information, and obtaining a semantic tag set and a workflow node link; according to the semantic tag set and the workflow node link, screening a basic template matched with the multi-modal demand information from a plurality of workflow generation templates, and expanding nodes in the basic template to obtain a target template; and acquiring hardware resource information of the user equipment, adjusting the node configuration information in the target template, and generating a target workflow file according to the adjusted target template. According to the technical scheme provided by the embodiment of the invention, the technical difficulty of a workflow generation scheme can be reduced, the generation efficiency of the workflow and the quality of a workflow generation result are improved, the problem that the template cannot normally operate due to the fact that the hardware of the user equipment is not supported or the plug-in is missing is avoided, and the workflow can smoothly fall to the ground.

Disclosed in embodiments of the present application are an encoding method, a decoding method, a code stream, an encoder, a decoder, and a storage medium. The decoding method includes: decoding a relevant syntax element of a current block; according to the relevant syntax element, determining to use an intra-template matching prediction (TMP) (IntraTMP) merged intra prediction mode to perform prediction on the current block; determining a matching block of the current block on the basis of a TMP mode, and determining a first predicted block of the current block according to the matching block; determining a second predicted block of the current block on the basis of a non-template matching intra prediction mode; and merging the first predicted block and the second predicted block to determine a final predicted block of the current block.

The embodiment of the invention discloses an intelligent driving scheduling method and device based on intention recognition and a medium, and relates to the technical field of driving scheduling, and the method comprises the steps: receiving a natural language query from a user terminal to call a pre-trained domain intention recognition model, processing the natural language query, and generating and outputting an intention classification result, based on the intention classification result, a retrieval strategy is dynamically generated through a preset intelligent retrieval agent, at least one corresponding related knowledge fragment is retrieved from a preset driving scheduling knowledge base according to the retrieval strategy, and the retrieval strategy comprises a to-be-retrieved target knowledge sub-base type and a retrieval priority; and selecting a target cue word template matched with the intention classification result from a cue word template library to combine the at least one related knowledge fragment and the target cue word template, determining an input instruction of a large language model, and generating a driving intelligent scheduling answer through the large language model.

The invention relates to the field of internet search service, and discloses a big data-based investment attraction clue analysis system, which comprises a query analysis unit, a query analysis unit, a query analysis unit, a query analysis unit and a query analysis unit, wherein the query analysis unit calls an event sequence template for defining a meta event type and a standard relative time window constraint interval; the distributed retrieval and aggregation unit is used for retrieving and aggregating meta event types to entity objects; the sequential logic verification unit is used for counting the global document frequency of the meta event, reversely mapping the global document frequency to generate a zoom coefficient, dynamically correcting a time window, and judging that only an entity object in a dynamic verification interval after correction is passed; the object sorting unit generates sorting scores according to template matching integrity, and by constructing a density and window reverse coupling mechanism, the sequential logic boundary is adaptively compressed in a high background noise environment, and the retrieval signal-to-noise ratio and the logic confidence coefficient are maintained.

The embodiment of the invention discloses a literature interpretation method and device based on multi-Agent collaboration, a medium and a program product. The method comprises the following steps: performing feature extraction on a target document, generating a document feature vector, screening a target processing template matched with the target processing template from a preset processing template set, and constructing a directed acyclic graph by using the target processing template; key information of the target literature is extracted and stored in a shared work area; on the basis of the execution sequence of the directed acyclic graph, calling a corresponding functional agent to read input data from the shared working area, executing a processing task on the basis of the input data, and writing an execution result back to the shared working area; and after the execution of each functional agent is completed, outputting a literature interpretation report integrated by the execution results stored in the shared working area. According to the method, dynamic adaptation of a literature interpretation strategy can be realized through feature-driven dynamic scheduling and a multi-Agent cooperation mechanism, flexible expansion of system functions is supported, and the intelligent level and comprehensive efficiency of complex literature interpretation are greatly improved.

Methods and systems are described for intra-prediction using template matching (TM) in video coding. The proposed methods include adaptive fusion when using template-based intra mode derivation using the most probable modes (TIMD), and fusion in intra mode prediction with template matching (Intra TMP).

The invention provides an AFSIM scenario editing method, device and equipment based on a large model, and a storage medium, and the method comprises the steps: carrying out the semantic analysis of a natural language task description inputted by a user through the large model, extracting scenario key elements, such as a task target, military strength configuration, space-time constraint, and the like, generating structured task demand data, and storing the structured task demand data in a database; and thus, a semantic bridge between the natural language and the structured data is established. User intention is understood based on the large model, tasks are distributed to the corresponding functional agents, and the scheme recommendation agent is linked with the scenario case knowledge base, the weapon equipment knowledge base and the battle technology and tactical law knowledge base to generate military strength deployment scheme data. And converting the military strength deployment scheme data into structured JSON data, and automatically generating an AFSIM scenario script through a template matching mechanism to realize format mapping between the scheme data and a simulation script. And loading the generated AFSIM scenario script to execute simulation deduction and output a structured result report, and completing an end-to-end automatic process from natural language input to deduction result output.

The invention discloses a template matching defect detection method and system for BC battery piece silk-screen printing, belongs to the technical field of defect detection, and aims at solving the problems that an existing detection method is weak in pertinence and low in positioning precision, and the general trend of defects is difficult to recognize. The method comprises the following steps: acquiring a template image, marking a calibration point and constructing a calibration data set; generating a functional area mask for the functional area of the template image, and obtaining a functional area template sub-image; an observation image is collected and cut into observation sub-images, calibration points are matched, an affine mapping matrix is generated and corrected, and a calibration observation image aligned with the template image is obtained; comparing the calibration observation image with the template image to generate an effective difference image, and determining an abnormal region; and combining a defect feature library to identify defect types, dividing grades, and retrieving abnormal functional area observation sub-graphs to judge defect general trends. According to the invention, accurate positioning, classification and trend identification of BC battery piece printing defects are realized, the detection efficiency and reliability are improved, and data support is provided for production optimization.

The invention discloses a microwave substrate defect identification and automatic sorting method, which comprises the following steps of: setting a first machine position to carry out front and back judgment on a microwave substrate, and entering a second machine position when judging that the microwave substrate is the front side; setting a second machine position for front detection and positioning, identifying front defects, and determining to enter a third machine position or move into a waste tank according to an identification result; a third machine position is arranged for reverse side detection and template matching; determining to enter a fourth machine position or move into a waste tank according to a detection result; a fourth machine position is arranged to execute microwave substrate placement and neat sleeving performance detection; determining whether sorting is completed or not according to a detection result; iDs are generated for each microwave substrate, data recording, query and tracing are carried out, and the whole-process processing quality of the microwave substrates is guaranteed. According to the invention, the whole-process treatment of the microwave substrate is realized, the product quality consistency and the production efficiency are improved, and higher economic benefits and quality management guarantee are brought to enterprises.

The invention provides a target tracking compensation control method and system for a surgical robot in a dynamic breathing environment, and the method comprises the steps: collecting an ultrasonic image of a patient in real time, and carrying out the self-adaptive admittance control algorithm based on force feedback; force control output is adjusted in a self-adaptive mode according to the contact force between the ultrasonic probe and the skin surface and the change of the displacement and speed state of the ultrasonic probe, rigidity parameters of an admittance control model are adjusted in real time, constant contact force between the ultrasonic probe and the skin surface is kept, and it is ensured that the ultrasonic probe and the body surface keep stable contact force and meanwhile adapt to the dynamic change of the body surface; a focus is continuously identified and positioned by utilizing a real-time ultrasonic image through template matching and a dynamic template updating algorithm, real-time position information of an internal focus target spot is obtained and serves as a target pose, the motion compensation amount of a puncture mechanical arm is calculated, the track of a puncture needle point and the motion of the target spot are kept synchronous, and the target pose is accurately positioned. And target tracking and compensation control in a dynamic breathing environment are realized. Target tracking compensation control of the surgical robot can be carried out.

The invention relates to the technical field of medical data processing, and discloses an automatic generation system and method of an electronic medical record editor based on AI. The system comprises a voice acquisition module, a feature extraction module, a structure analysis module, a standard mapping module, a quality control evaluation module, a dynamic optimization module and a closed-loop management module. The voice acquisition module captures a doctor-patient conversation audio stream in real time; the feature extraction module preprocesses audio, separates audio features and extracts key medical information; the structure analysis module identifies medical entities and association relationships through semantic annotation and dependency analysis; the standard mapping module matches the data with a preset medical record template to generate standard medical record paragraphs; the quality control evaluation module analyzes the integrity, consistency and compliance of the medical records according to a multi-dimensional rule base; the dynamic optimization module adjusts a generation strategy weight according to an analysis result; and the closed-loop management module generates a quality control score and triggers automatic defect revision. The system can automatically generate standard medical records and realize dynamic optimization of medical record quality.

The invention discloses an electronic archive management method for a business document generation layout file, and belongs to the technical field of electronic archive management. Comprising the following steps: constructing a multi-dimensional feature vector by collecting business document scene features, screening candidate templates from a template pool by adopting a multi-level similarity matching algorithm, and adjusting and determining a target template in combination with a dynamic structure; the basic metadata and the associated system data are integrated, and qualified metadata is output through multi-level rule verification and abnormal data correction; based on the target template, executing data filling typesetting and format resource preprocessing by adopting a double-thread asynchronous processing mechanism, and generating a layout file conforming to PDF / OFD double standards through an adaptive algorithm; calculating a hash value of the layout file and writing the hash value into a block chain to realize tamper-proof evidence storage, and realizing secure storage and quick retrieval by adopting a distributed architecture in which a main file is separated from an index file. According to the method, the problems of low template matching precision, incomplete data verification, low processing efficiency, insufficient file safety guarantee and the like in the prior art are solved.

The invention provides a business process execution method and related equipment, and the method comprises the steps: carrying out the intention recognition of a business request, and obtaining a structured intention and key entity information; based on the structured intention, constructing a business process comprising a plurality of executable tasks; executing each executable task in the business process in sequence, and extracting a target cue word template matched with the structured intention from a cue word factory when a target task of a preset large model needs to be called in each executable task is executed; filling the key entity information into the target cue word template to obtain a parameterized cue word; and based on the parameterized cue word, calling a preset large model to execute the target task, and continuing to execute the remaining executable tasks in sequence after the target task is executed. In the scheme, dynamic binding of the cue word and the business scene is realized, and the accurately customized cue word can be automatically generated for different scenes, so that accurate adaptation to diversified business scenes in automatic execution of the business process is realized.

The invention provides an exhaustion report generation method and device, electronic equipment and a storage medium, and relates to the technical field of data processing. The method comprises the following steps: acquiring object transaction data of a plurality of candidate objects; performing object identification on the object transaction data based on a preset identification strategy, and screening out at least one target object from the plurality of candidate objects; determining a target exhaustion verbal skill template matched with each target object in the at least one target object; for each target object, initiating a call outbound to the target object based on the target exhaustion call skill template to obtain an exhaustion voice dialogue of the target object; and generating a target exhaustion report of the target object based on the exhaustion voice dialogue. According to the method, full-link automatic customer full-duty investigation can be realized.

This invention discloses a substation secondary circuit design method based on equipment functional areas and template matching. The method includes assigning descriptions to secondary equipment based on voltage level or bay; constructing secondary circuit data templates; matching the data template library based on the connection relationships of local equipment functional areas within a bay; extracting functional area connection information through a typical template information flow table; and converting the functional area connection information into actual equipment terminal connections to complete the substation secondary circuit design. This invention mutually converts the functional areas of secondary equipment with the design of secondary circuits, constructing data templates for substation secondary circuits. By improving the VF2 graphical matching algorithm, it achieves digital storage of data templates and rapid matching of complete bay information using local information from data templates. After matching, the functional area connections of the data templates are reverse-converted into equipment terminal connections, realizing automatic secondary circuit design and improving the digital design level of secondary systems.

Embodiments of the present application provide a circuit configuration file generation method and device, a storage medium and an electronic device. The method comprises: generating a configuration requirement file based on an obtained circuit configuration requirement; traversing the configuration requirement file to determine M target circuit functions from the requirement configuration file; searching for a circuit template matching each target circuit function to obtain M circuit templates; calling each circuit template to generate a circuit configuration file corresponding to each target circuit function to obtain M circuit configuration files; and integrating the M circuit configuration files to obtain a target circuit configuration file. Through the present application, the problem that a control circuit cannot be flexibly generated in the related art can be solved, a circuit configuration file is generated based on a circuit configuration requirement, and the effect of flexibly generating a control circuit is achieved.

The application discloses a kind of sequence model and knowledge graph combined question and answer method, comprising: knowledge acquisition processing method, knowledge graph construction method, model construction method, question determination and answer generation method.Corresponding question and answer strategy is designed for different types of data sets, "field professional knowledge semantic data" is constructed from field professional knowledge data set, and professional answer in knowledge graph is obtained by keyword extraction and template matching."Field knowledge basic question and answer semantic data" is constructed from field knowledge basic question and answer data set, and the best answer of field knowledge chat data set is obtained using sentence vector similarity algorithm, to train Seq2seq model, as the supplement of knowledge graph.Combining the above question and answer strategy, this method can not only answer professional field knowledge, but also answer daily chat system.The method can accurately and efficiently answer questions in different fields, to some extent, so that the question and answer system can understand the intention of user, and is more intelligent.

The application discloses a kind of tunnel construction dynamic measurement methods based on inertial navigation auxiliary, comprising: obtaining tunnel construction priori information and stage division parameter;With the measuring equipment of loaded inertial measurement unit, laser radar and odometer, it is installed on construction machinery, travels along tunnel axis, and real-time collection multi-source data;Based on point cloud feature density, the stage where it is located is automatically identified, and corresponding multi-level adaptive constraint model is dynamically switched, including adaptive nonholonomic kinematics constraint, environmental feature constraint based on point cloud data and design section, and absolute correction constraint based on template matching automatically identifying natural existing reserved reference point in tunnel;Extended Kalman filter is constructed to fuse multi-level constraint and dynamically adjust weight;Through loop detection and graph optimization, cumulative error is eliminated and control network is updated.The application realizes adaptive high-precision dynamic measurement of whole process of tunnel construction, does not need artificial layout beacon, effectively solves the problem of unstable positioning accuracy in complex environment.

The invention discloses an original certificate compliance full-automatic management and control method and system, belongs to the technical field of financial informatization and intelligent accounting processing, and establishes a standard original certificate template library and an original certificate compliance rule library for an enterprise by fusing an optical character recognition (OCR) technology and a natural language processing (NLP) technology. When a to-be-audited original certificate is acquired, template matching of the original certificate is realized through the standard original certificate template library so as to ensure accuracy and high efficiency of key information extraction of the to-be-audited original certificate, and then on-line compliance verification is carried out on each piece of key information through the original certificate compliance rule library so as to obtain the to-be-audited original certificate. And the verification result is output and displayed. According to the method, an integral management and control scheme of full-process digital identification, automatic template matching, intelligent compliance verification and result output is formed, the working efficiency of original certificate management is greatly improved, manual interference is completely eliminated, and the compliance verification result is more accurate.

Systems, methods, and instrumentalities are disclosed for performing Intra Template Matching Prediction (IntraTMP). IntraTMP may be performed on a video block to obtain a block vector associated with the video block. A video block may be determined to be associated with an intra sub-partition (ISP) and may include first and second sub-partitions. Template matching may be used based on the block vector to obtain a refined block vector associated with the first sub-partition. The video block may be decoded based on a refined block vector associated with the first sub-partition. Template matching may be used based on the block vector to obtain a refined block vector associated with the second sub-partition. The video block may further be decoded based on a refined block vector associated with the second sub-partition.

According to one aspect of the present disclosure, a decoding method is provided which is performed by a decoder. The method may include a processor decoding a plurality of syntax elements associated with intra-template matching predictions (intraTMP) by analyzing a bitstream. The method may include the processor decoding a first syntax element from the bitstream. The method may include the processor determining, based on the first syntax element, whether or not the intraTMP mode is enabled for the current block. The method may include the processor decoding a second syntax element from the bitstream, having determined that the intraTMP mode is enabled for the current block. The method may include the processor determining, based on the second syntax element, whether or not the intraTMP prediction value for the current block is determined by the intraTMP fusion mode. The method may include the processor decoding the current block based on the intraTMP prediction value.

The invention relates to performing motion vector refinement in search space for multi-reference inter prediction. Two or more reference pictures are selected, one of which is used for motion vector refinement. A search space is constructed in the reference picture based on an initial estimate of a motion vector of the reference picture used for motion vector refinement. The first motion vector is refined using template matching. A second motion vector of another reference picture is calculated using an initial estimate of the second motion vector, the initial estimate of the first motion vector and the refined first motion vector.