59 results about "Logical tree" patented technology

The invention relates to an enhanced LLM-RAG multi-hop question and answer method based on logic tree reasoning, and belongs to the technical field of new-generation information, and the method comprises the following steps: inputting a multi-hop question and answer question into a computer system; the computer system calls a pre-training large language model LLM, the multi-hop question-answer question is decomposed into a hierarchical logic tree in a recursive mode, and each node of the logic tree comprises a sub-question and a corresponding hypothesis answer; performing image retrieval from a structured knowledge source Wikidata and performing text retrieval from an unstructured knowledge source Wikipedia on the basis of each node sub-question and the hypothesis answer to obtain corresponding evidence; traversing the logic tree, verifying the consistency between the hypothetical answer of each node and the evidence through LLM, if the contradiction exists, reconstructing the corresponding sub-tree, and dynamically correcting the reasoning path; and integrating the verified logic tree node information, and outputting an accurate answer to the multi-hop question and answer question.

The present application relates to the technical field of computers, and in particular to a fault root cause locating method, a fault root cause positioning system implementing the method, and a computer-readable storage medium and a computer program product. The method comprises: acquiring an architecture topology graph and abnormal alarm information of an application system; on the basis of the architecture topology graph and the abnormal alarm information, constructing a troubleshooting logical tree, wherein in the troubleshooting logical tree, a logical relationship between nodes is used to indicate a potential fault propagation link between configuration components in the architecture topology graph; performing qualitative analysis on the troubleshooting logical tree, so as to identify a potential fault point that causes a fault; performing quantitative analysis on the troubleshooting logical tree, so as to calculate a fault probability and the degree of influence of each potential fault point; and on the basis of results of the qualitative analysis and the quantitative analysis, determining a root cause fault point, and acquiring a fault propagation link of the root cause fault point.

In some implementations, a memory apparatus may receive a command indicating a logical block address (LBA) that is associated with a logical-to-physical (L2P) table. The memory apparatus may perform a lookup operation associated with a compressed version of an address range of the L2P table to identify a physical address in non-volatile memory associated with the LBA, wherein the compressed version is stored in a volatile memory of the memory apparatus, wherein the compressed version is associated with an exception list that indicates physical addresses for respective LBAs, included in the address range, that are associated with non-sequential physical addresses, and wherein the compressed version is associated with a binary tree that indicates locations in the exception list associated with the respective LBAs. The memory apparatus may perform, based on the command, an action associated with the physical address.

The invention provides a visual logic execution system and method based on logic block nesting and JSON (JavaScript Object Notation) dynamic configuration, and the system comprises a front-end visual editing module which is used for providing a logic block library and a nested canvas editor, receiving the dragging and nesting operation of a user based on a logic block, and storing the dragging and nesting operation in the front-end visual editing module; serializing the finally edited nested logic tree structure into JSON (JavaScript Object Notation) configuration data; the back-end dynamic analysis execution module is used for receiving and persisting the JSON configuration data, constructing an executable object tree isomorphic to the nested logic tree structure by dynamically analyzing the JSON configuration data, and executing the executable object tree to run logic edited by a user; and the front-end visual editing module communicates with the rear-end dynamic analysis execution module through a data transmission interface. The front end and the rear end are coupled through the JSON interface, and the front end and the rear end can be independently upgraded and expanded.

This invention relates to the fields of computer data processing and network communication technology, specifically to a method and system for real-time synchronization of paperless interactive information across multiple terminals. The method includes: a logic construction step: acquiring the original interactive command stream, constructing a semantic causal logic tree based on a vector clock, and dividing strong barriers and weak streaming events; a backpressure monitoring step: establishing a rendering backpressure model to calculate the rendering backpressure value of the target terminal; a dynamic shaping step: responding to a backpressure value exceeding a threshold, reducing the dimensionality of the command stream and reorganizing its timing, attaching weak streaming events to strong barrier events and merging them into an atomic state snapshot for transmission; and a consistency verification step: comparing the screen content-aware hash value, and if a mismatch occurs, performing full state synchronization. This invention solves the problem of visual semantic confusion caused by differences in rendering capabilities between heterogeneous terminals.

The invention discloses a data operation auditing method and device for a background database, equipment and a medium, and relates to the field of computers.The data operation auditing method comprises the steps that key operation elements are extracted through a preset entity recognition channel, and a target structured logic tree is generated based on the key operation elements through a preset logic reasoning channel, converting the target structured logic tree into a target standard approval template; determining a target strategy knowledge graph based on a preset business approval strategy and a preset data security auditing rule, and identifying abnormal key operation elements according to the target strategy knowledge graph; obtaining a first abstract syntax tree and a second abstract syntax tree, determining a target editing distance, and generating a target difference analysis report based on the target editing distance; and constructing an operation log auditing detection framework according to a preset dimension, and determining an auditing result of the target data operation approval work order by utilizing the operation log auditing detection framework based on the operation log data, the abnormal key operation elements and the target difference analysis report. And the approval and auditing efficiency and accuracy are improved.

This invention relates to the field of artificial intelligence decision-making technology, specifically to an intelligent decision-making system and method based on a large model. The system includes: receiving raw decision request streams from heterogeneous business sources; performing semantic normalization and knowledge enhancement processing on these streams to generate a structured decision query containing a core problem statement, key fact triples, and a knowledge index; invoking a large language model inference engine to generate a preliminary decision reasoning chain based on the structured query; using a predefined decision logic constraint graph to perform consistency verification and completion of the reasoning chain, generating a verified complete decision logic tree; and performing pattern matching in an executable atomic operation library based on the logic tree to map and assemble an executable decision action plan. This invention improves the understanding accuracy, reasoning reliability, and decision executability of large models in complex decision-making scenarios through structured query input and external logic verification.

The invention discloses a method and a device for testing an automobile software unit by a tree structure, and relates to the technical field of automobile software unit testing, the method for testing the automobile software unit by the tree structure comprises the following steps: step 1, modeling by a logic tree Stateflow; step 2, carrying out an overall logic process of modeling from a logic tree Stateflow; step 3, generating a logic flow of the analysis logic tree of Stateflow from the logic tree; step 4, generating a method for calibrating the position of each node of Stateflow from the logic tree; in the first step, the positions where all juctions of the Stateflow are created are standardized through a method of calculating child nodes and characters. According to the method for realizing Stateflow modeling through the logic tree, the logic tree can be firstly combed, and then the Stateflow model is generated from the logic tree, so that logic errors can be avoided, the logic check time is saved, logic and writing specific execution are distinguished, the maintainability of the model can be ensured, and new members do not need very mature writing ability.

The present application relates to an enhanced LLM-RAG multi-hop question and answer method based on logical tree reasoning, belonging to the field of new generation information technology, comprising the following steps: inputting a multi-hop question and answer problem into a computer system; the computer system calls a pre-trained large language model LLM, recursively decomposes the multi-hop question and answer problem into a hierarchical logical tree, each node of the logical tree contains a sub-problem and a corresponding assumed answer; based on the sub-problem and the assumed answer of each node, image retrieval is performed from a structured knowledge source Wikidata, and text retrieval is performed from an unstructured knowledge source Wikipedia, to obtain corresponding evidence; traversing the logical tree, verifying the consistency of the assumed answer and the evidence of each node through the LLM, if there is a contradiction, reconstructing the corresponding sub-tree and dynamically modifying the reasoning path; integrating the node information of the verified logical tree, and outputting the accurate answer of the multi-hop question and answer problem.

The invention discloses an invalid operation prompting method and device, a storage medium and a system. The method comprises the following steps: acquiring and identifying an operation signal of an equipment operator; retrieving a logic tree associated with the operation signal; wherein the operation signal is associated with at least one logic tree; based on each logic tree, retrieving whether a preset condition allowing response to the operation signal is established or not; if the preset condition is not established, based on a corresponding logic tree, searching out a limiting root cause corresponding to the preset condition which is not established; and sending the restriction root cause code to an information prompting unit, so that the information prompting unit prompts the restriction root cause code. According to the technical scheme, the limiting root cause can be actively recognized and prompted, the experience requirement for troubleshooting response abnormity of an operator is lowered, and normal operation of equipment is guaranteed.

A system receives a script on a computing device. The system receives initial artifacts by executing the script using an emulator, wherein the initial artifacts comprise the obfuscated script written in a first coding language incompatible with a malware scanner on the computing device. The system converts each line of the obfuscated script in the first coding language into a respective logical tree. The system receives artifacts of the obfuscated script by executing, using a universal emulator, at least one logical tree generated based on the obfuscated script. The system scans the artifacts for malware using the malware scanner. The system in response to detecting the malware in the obfuscated script based on scanning the artifacts, performs a remediation action on the obfuscated script.

The invention relates to the technical field of computer data processing and network communication, in particular to a paperless interaction information multi-terminal real-time synchronous processing method and system, and the method comprises the following steps: a logic construction step: obtaining an original interaction instruction stream, constructing a semantic causal logic tree based on a vector clock, and dividing strong barrier and weak stream events; a back pressure monitoring step: establishing a rendering back pressure model to calculate a rendering back pressure value of the target terminal; a dynamic shaping step: in response to a condition that the backpressure value is higher than a threshold value, performing dimension reduction and time sequence recombination on an instruction stream, mounting a weak stream event to a strong barrier event, and combining the weak stream event and the strong barrier event into an atomic state snapshot for sending; a consistency verification step: comparing the screen content perception hash values, and if the screen content perception hash values are not matched, executing full-amount state synchronization; according to the method, the problem of visual semantic disorder caused by different rendering capabilities of heterogeneous terminals is solved.

Disclosed are techniques for processing user profiles using data structures that are specialized for processing by a GPU. More particularly, the disclosed techniques relate to systems and methods for evaluating characteristics of user profiles to determine whether to offload certain user profiles to the GPU for processing or to process the user profiles locally by one or more central processing units (CPUs). Processing user profiles may include comparing the interest tags included in the user profiles with logic trees, for example, logic trees representing marketing campaigns, to identify user profiles that match the campaigns.

This invention relates to the field of human-computer interaction technology, providing a general virtual disassembly and assembly interaction method and system for mechanical equipment. The method includes: acquiring a 3D model with preset part type information, assembly relationship information, and default disassembly and assembly semantic information; automatically generating a part logic tree by parsing and extracting the semantic information; automatically generating a basic disassembly and assembly state machine by matching preset disassembly and assembly rule templates according to the part type information; displaying a disassembly and assembly logic arrangement view in the interactive interface, allowing users to adjust the disassembly and assembly logic parameters of parts through drag-and-drop arrangement operations, and updating and generating a target disassembly and assembly state machine; binding the target disassembly and assembly state machine with the 3D model and saving it as a semantically enhanced model; and finally, determining the executable operation corresponding to the current part based on the target disassembly and assembly state machine during runtime, and displaying the next operation prompt information based on the part type information. This provides real-time and accurate operation guidance for teaching, training, and maintenance scenarios.

The invention relates to a method and device for operating a robot, computer equipment and a readable storage medium. The method comprises the following steps: acquiring input data, and verifying the validity of a local expression to which the input data belongs; under the condition that the local expression is effective, a logic tree is updated based on the local expression, the logic tree comprises an overall expression and the local expression, and the logic tree is used for representing the logic relation between the overall expression and the local expression; under the condition that updating of the logic tree is completed, the effectiveness of an overall expression corresponding to the logic tree is verified, and the overall expression comprises a plurality of local expressions; and under the condition that the overall expression is effective, the overall expression is converted into a robot execution program. By adopting the method, the programming efficiency of a complex robot logic expression can be improved.

The invention provides an AI intelligent calculation platform reasoning acceleration method and system, and relates to the technical field of artificial intelligence and deep learning. Retrieving cache records of historical memory access data in the to-be-retrieved data set, wherein the historical memory access data correspond to the query normal form to which the query request belongs; constructing a query logic tree according to the retrieval query request to obtain a cache hit probability of each piece of vector data in the to-be-retrieved data set; according to the query complexity and the cache hit probability, determining the partitioning granularity and the memory access step length of the vector data in the data set to be retrieved; establishing a mapping relationship between the query logic tree and the storage address to obtain target address space distribution; constructing a tensor layout mapping table matched with the query logic tree according to the block granularity; based on the tensor layout mapping table and the memory access step length, reasoning acceleration is realized, and the reasoning throughput and the real-time response efficiency of a large language model on an intelligent calculation platform are improved.

The application relates to the technical field of computer data processing, and discloses a search formula generation method and system based on instruction recombination and local feedback optimization, the search formula generation method comprising the following steps: step S1, dynamic assembly and semantic expansion of instruction segments; step S2, controlled term filtering based on a longest match mechanism; step S3, construction of a Boolean logic tree; and step S4, closed-loop logic repair based on component ID mapping. The application significantly reduces interaction overhead and computing resource consumption, solves the semantic drift problem of composite terms in a cross-language scenario, and realizes the compatibility of the probability of a generative model and the determinacy of a database syntax.

The invention relates to a scene attribute-based video multi-dimensional retrieval method and device, computer equipment and a storage medium. The method comprises the following steps: receiving a query request, and performing structured analysis on the query request to obtain a query logic tree constructed based on a plurality of scene attribute dimensions; performing fragment division and multi-dimensional feature analysis on a preset video stream to obtain each video fragment and a corresponding scene attribute tag; comparing the query logic tree with each scene attribute tag to obtain a tag screening result matched with the query logic tree; and sorting the video clips corresponding to the tag screening result according to a preset retrieval correlation dimension, and generating a video retrieval result corresponding to the query request. By adopting the method, the accuracy and efficiency of video retrieval can be remarkably improved.

Apparatuses, systems, and methods for error correction. A memory device may have a number of memory cells each of which stores a bit of information. A first latch may hold the encoded bit and provide it as a write parity bit to the memory array as part of a write operation. A second latch may hold a parity bit read from the memory array and the ECC circuit may generate a command signal based on that parity bit. A multiplexer latch may hold the encoded bit and provide a syndrome bit based on the command signal and the encoded bit. The syndrome bit may indicate if there is mismatch between the parity bit and the encoded bit. The logic which handles generating the syndrome bit may be separated from the logic tree.

The invention discloses a product search method and device, equipment, a storage medium and a product, and is applied to the technical field of artificial intelligence. The natural language query content is input into the large language model, a product search logic tree is generated through the large language model, the product search logic tree comprises a root node and at least one branch node, the root node corresponds to a product category, and each branch node corresponds to a product search dimension and a search constraint condition on the product search dimension; inputting the product search logic tree and the natural language query content into a product field intention recognition model, and performing intention recognition by the product field intention recognition model to obtain at least one target intention; and searching at least one target product corresponding to the target intention by taking the target intention as a search condition, so that the product search accuracy and efficiency can be improved.

The embodiment of the invention discloses an intelligent customer service interaction method and electronic equipment, and the method comprises the steps: recognizing a related order state and a user intention after a consultation service request of a user is received; determining at least one service capability and service interaction process information according to the order state and the user intention; wherein different service capabilities correspond to different logic trees respectively, and are used for defining access logics corresponding to the service capabilities; calling an artificial intelligence (AI) model to enable the AI model to perform service planning according to the service interaction process information; and according to a service planning result of the AI model, pre-verifying whether a related order accords with the admission logic of the service capability, and interacting with a user according to a pre-verification result returned by the pre-verification tool. According to the embodiment of the invention, the method can avoid the conditions of'not answering questions', repeated playing of the same solution and the like.

The application discloses a method for generating a user interface framework logic tree and a related device thereof, and the method comprises the following steps: defining the attributes of general elements in an interface element table based on an Excel format in advance, wherein the attributes comprise an element type, a level, a row, a column, content, a unique identifier and parent node information; obtaining the attributes of each target element according to a to-be-generated interface design diagram, and entering the attributes of each target element into a newly-generated interface element table row by row and column by column; and generating a user interface framework logic tree by using an xml document operation method to generate the attribute content of the interface element table. By defining the attributes of general elements in the interface element table in advance and entering the attributes of target elements into the interface element table, and then generating the content in the interface element table into a user interface framework logic tree, the application can reduce the time for a developer to draw an xaml page, improve the development efficiency of a program and reduce the operation cost of an enterprise.

This invention discloses a condition parsing and execution method, apparatus, and computer device based on dynamic configuration. The method includes: obtaining conditional expressions and corresponding data; constructing a logic tree structure; traversing conditional items; determining whether a conditional item is a leaf node; if so, querying the operator registry to determine if the operator exists; if it exists, executing the operation algorithm and performing type adaptive processing to obtain a Boolean result; recording the Boolean result; determining whether the current conditional item is the last conditional item; if so, applying root logic to output the result; if it does not exist, performing exception handling; if the conditional item is not a leaf node, recursively processing sub-conditions and aggregating the results to obtain a Boolean result, and then recording the Boolean result. By implementing the method of this invention, flexible and easily maintainable conditional processing capabilities can be achieved, effectively solving problems such as rigid architecture, high maintenance costs, and functional limitations in existing technologies.

The invention discloses a risk control rule hit analysis method and device, equipment and a storage medium, and relates to the technical field of financial risk control, and the method comprises the steps: obtaining a target risk control rule pre-constructed in the financial industry, and constructing a logic tree corresponding to the target risk control rule; determining to-be-audited target index data, traversing the logic tree based on the target index data to determine a satisfied target atomic condition based on the logic tree, and determining a target leaf node corresponding to the target atomic condition; determining a hit path based on the target leaf node and the logic tree, and determining a target weight corresponding to the target leaf node in the hit path; if a plurality of different hit paths exist, determining a target atomic condition corresponding to the same target leaf node in each hit path as a public condition; and generating a risk control rule hit analysis report based on the preset structured format, the hit path, the target weight corresponding to the target leaf node and the public condition. According to the invention, the analysis efficiency of the risk control rule hit result can be improved.

The application relates to the technical field of intelligent operation and maintenance of power systems and electrical topology modeling, and discloses a multi-level user electrical topology generation method and system based on atlas fusion. The method comprises the following steps: collecting multi-channel user-side electrical data, performing cleaning, deduplication and standardization processing on the data, extracting key information and converting the key information into structured data to obtain a data source that can be used for model construction; constructing a multi-level modular atlas fusion core model, wherein the model comprises electrical level division, modular atlas construction, hierarchical membership relationship, connection rule and parameter mapping logic, and the model is verified; constructing a topology logic tree and matching a modular graph element through the fusion core model to generate an electrical topology graph; establishing a dynamic updating mechanism through a data change monitoring channel to output a final topology graph. The application realizes automatic, accurate and standardized generation of user electrical topology, and ensures the continuous effectiveness of the topology graph.

A blockchain data storage method, a key-value pair of blockchain data in a logical tree structure of root nodes, intermediate nodes and leaf nodes is stored in a database; the root nodes and the intermediate nodes are used to store characters in the key of the blockchain data; the leaf nodes are used to store values of the blockchain data; comprising: obtaining a key-value pair of the blockchain data to be stored; converting the key-value pair of the blockchain data into root nodes, intermediate nodes and leaf nodes in a logical tree structure; caching at least part of the nodes in the root nodes and the intermediate nodes to a storage medium supporting overlay writing data; generating a data record for recording modification update details of the at least part of the nodes, and writing the data record and other nodes in the root nodes, the intermediate nodes and the leaf nodes except the at least part of the nodes into the database for persistent storage.

The application discloses an attribution index determination method and device, equipment and a storage medium, which can be applied to various scenes such as cloud technology, artificial intelligence, intelligent transportation and Internet of Vehicles, and the method comprises the steps of determining a target multimedia service index of a multimedia object in a preset period; obtaining at least two multimedia association indexes corresponding to the target multimedia service index; constructing an index logical tree based on the target multimedia service index and the at least two multimedia association indexes; determining a target node based on the association indexes between each parent node and the corresponding child node in the index logical tree; the association indexes represent the influence degree of the corresponding child node on each parent node; and determining the target multimedia association index represented by the target node as the attribution index of the target multimedia service index. The application realizes quick and accurate determination of the attribution index of the target multimedia service index.

The invention provides a structured query language processing method and device for resume intelligent screening, and relates to the technical field of computers.The method comprises the steps that a natural language query statement corresponding to resume screening input by a user is received, entity information in the natural language query statement is extracted, the entity information is converted into an entity triad, and the entity triad is sent to the user; wherein the entity triad comprises an entity type, a relation value and an entity relation; based on the logic conjunctions in the natural language query statements, a logic tree representing the logic relation between the screening conditions is constructed, non-leaf nodes in the logic tree represent the logic relation, and leaf nodes are the entity triples; and performing conversion according to the logic relationship represented by the logic tree to obtain a logic expression, converting the logic expression and the entity triad into SQL statements, and performing intelligent resume screening by executing the SQL statements to obtain a resume screening result.

The invention discloses a streaming computation rule engine system and a data processing method of an electric power internet of things, and relates to the technical field of the electric power internet of things, the streaming computation rule engine system comprises an initialization module, a rule loading module, an analysis module, a data receiving module and a data processing module; wherein the initialization module is used for initializing a system and checking whether a rule meeting a target condition exists in a database or not; the rule loading module is used for reading and loading the rules in the database and starting an independent process for each rule; the analysis module is used for analyzing the corresponding rule in the independent process to generate a corresponding logic tree structure; the data receiving module is used for receiving streaming data to be processed; and the data processing module is used for performing data processing on the to-be-processed streaming data based on the logic tree structure to obtain a processing result. The technical problem that a traditional rule engine is low in efficiency in the complex data stream processing process is solved.

The invention provides a medical record home page quality control method and device based on a dynamic nested logic tree, and relates to the technical field of coding quality control. Determining a corresponding target quality control rule tree from a rule base in response to the request, and outputting prompt information about whether the tree exists or not for a user to input and operate; when a creation operation for the medical record home page data quality control rule tree is received, generating a target quality control rule tree of which father and child nodes are formed by a plurality of reusable rule components and / or a plurality of quality control child rule trees; and then receiving a second quality control request containing the home page data of the medical record to be subjected to quality control, responding to the request and executing quality control on the home page data of the medical record to be subjected to quality control based on the target quality control rule tree, and finally obtaining a quality control result. The problems that an existing rule engine is insufficient in flexibility and adaptability, insufficient in rule transparency and the like are solved.