80 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 invention discloses a voice interactive console based on artificial intelligence, and relates to the technical field of intelligent consoles, a large language model is combined with context tracking and logic analysis technologies, a composite instruction is disassembled into independent tasks, a task chain is generated, a semantic weight is added to each task through a weight regression model, and the intelligent consoles are obtained. The task execution priority and the logic dependency relationship are identified, the limitation of a traditional system on the complex semantic analysis capability is overcome, a composite instruction can be accurately understood, a logic tree analysis method based on rules is adopted, a task chain is converted into a directed graph structure, the priority is dynamically adjusted, and a task execution sequence table is generated. In the scheduling process, multi-task parallel processing is carried out on tasks without logic dependence, and the resource utilization rate is increased; tasks with a dependency relationship are gradually scheduled by adopting topological sorting, so that the logic consistency is ensured.

The invention provides a multi-variety assembly production line reconfigurable switching method and system based on digital twinning. The method comprises the steps that the dynamic mapping relation between the variety of a product to be produced and assembly steps is achieved through a reconfigurable logic tree model; feature parameters of the to-be-produced product are obtained through visual identification or order data analysis; importing the reconfigurable logic tree model into a digital twin system, fusing actual production data to dynamically reconstruct an assembly model, and optimizing an assembly path through simulation rehearsal; automatically generating an executable assembly control program according to the rehearsal result; and issuing the executable assembly control program to a production field to execute actual switching, and feeding back closed-loop adjustment through real-time data. According to the invention, the production line switching efficiency and the flexibility level can be improved, and the human resource consumption is reduced.

Techniques are described with regard to container image configuration in a computing environment. An associated computer-implemented method includes initializing a container image storage engine associated with a logical tree structure having a plurality of container image nodes, where each of the plurality of container image nodes includes a hash layer array and a hash data array. The method includes building at least one new container image node to incorporate into the plurality of container image nodes. The method further includes applying a software patch to a target container image node among the plurality of container image nodes. In an embodiment, the method further includes starting at least one container based upon a respective container image node among the plurality of container image nodes.

The invention relates to the technical field of semantic analysis, can be applied to business system platforms of financial science and technology, medical health and the like, and discloses a business process analysis method, device and equipment based on a natural language and a medium. Generating a target logic tree corresponding to the natural language instruction; converting the logic structure in the target logic tree into a structured code, and performing grammar verification on the structured code; correcting the structured codes which do not pass the grammar verification, and performing rendering operation on the target structured codes to obtain a visual flow chart; adjusting the visual flow chart, and updating the structured code based on the adjusted visual flow chart; and when the visual flow chart meets the flow demand of the target user, outputting a target flow chart corresponding to the natural language instruction, and performing business flow analysis on the natural language instruction by using the target flow chart. And the efficiency of business process analysis is improved.

The invention discloses a condition analysis execution method and device based on dynamic configuration and computer equipment. The method comprises the following steps: acquiring a condition expression and corresponding data; constructing a logic tree structure; traversing condition items; judging whether the condition item is a leaf node or not; if yes, inquiring an operator registration library to determine whether an operator exists or not; if yes, executing an operation method, and performing type self-adaptive processing to obtain a Boolean result; recording Boolean results; judging whether the current condition item is the last condition item or not; if yes, applying root logic to output a result; if not, performing exception handling; and if the condition item is not the leaf node, recursively processing the sub-conditions, aggregating results obtained by processing to obtain a Boolean result, and recording the Boolean result. By implementing the method provided by the invention, flexible and easy-to-maintain condition processing capability can be provided, and the problems of framework rigidity, high maintenance cost, function limitation and the like in the prior art are effectively solved.

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.

The present invention discloses a probabilistic landslide tsunami disaster assessment method, device, and medium based on a logic tree, including: obtaining landslide data corresponding to the area to be detected; constructing a probabilistic landslide scenario set based on the logic tree method and deriving the geometric parameters of the landslide scenario; the first-level, second-level, third-level, and fourth-level nodes in the logic tree are landslide location, landslide volume, tsunami arrival point, and tsunami wave height; obtaining historical landslide tsunami records and submarine topography data of the area to be detected, and calculating the initial water level field of the tsunami wave through a first tsunami propagation numerical model according to the landslide location and volume in the probabilistic landslide scenario set; performing simulation using a second tsunami propagation numerical model based on the initial water level field of the tsunami wave to obtain the propagation path, maximum wave amplitude, and influence range of the tsunami; estimating the spatial probability of potential landslides in the area to be detected, the annual occurrence probability of landslides in each volume interval, and the probability that the maximum wave amplitude of the triggered tsunami does not exceed the tsunami wave height threshold at the tsunami arrival 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.

Provided is a storage device that has a computation function and comprises: a plurality of differential logic tree cells; a plurality of digital differential sense amplifiers for respectively reading the computation results of the plurality of differential logic tree cells; a plurality of write circuits for writing data to each of the plurality of differential logic tree cells; and a digital computation circuit for performing computations by using the computation results from the plurality of digital differential sense amplifiers. Each differential logic tree cell includes: a memory cell which includes first and second magnetic storage elements for storing the data based on a change in a resistance value; and a differential logic circuit for performing logical computations by using the data stored in the memory cell and external data input from the outside.

The invention discloses a vehicle dynamics modeling method based on a logic tree, and relates to the technical field of automobile electronic control, a model to be inspected and tested is selected from an ECU end and a software development platform, the position / working path of the model is determined, and the relative position of the position of the model in the whole model is determined; the model is converted into a logic tree, after a tree structure is generated, execution logic with missing coverage is sorted based on the tree structure, an automatic test framework based on the tree structure is generated, and errors are rapidly positioned and maintained; finally, the model is copied to the vehicle-mounted ECU or the software development platform again, and updating of the test and inspection model is completed. According to the method, the logic and the content of the model are simply described through a graphical tree structure, the node can be directly described according to the model, the execution logic of the model can also be viewed from a code tree, the system is modularized, and a clear interface is displayed, so that the complexity is reduced and the maintainability is improved.

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.

In a scheme for generating process prompt statements provided by this application, this scheme adopts a method combining a finite state machine and a logical inference graph. That is, it uses a finite state machine representation to manage the process state nodes in the scenario, and uses a logical inference graph formed by a logical tree to control the generation of process prompt statements and the switching of process state nodes. For the court trial scenario, different case types can be adapted by flexibly configuring the states included in the finite state machine and the template nodes in the logical tree. Therefore, the workload for different case types can be reduced, and the generality is good.

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 blockchain data storage method includes: obtaining key-value pairs of blockchain data to be stored; converting the key-value pairs of the blockchain data into root nodes, intermediate nodes, and leaf nodes on a logical tree structure; the nodes on the logical tree structure are linked to the nodes on the upper layer via their hash values; the storage content of the nodes on the logical tree structure includes the hash value of the node on the lower layer linked to the node and the database identifier of the database storing the node on the lower layer; the root node and the intermediate node are used to store the characters in the key of the key-value pair corresponding to the blockchain data; the leaf node is used to store the value of the key-value pair corresponding to the blockchain data; the root node, the intermediate node, and the leaf node are respectively stored in a database; and the nodes on the logical tree structure are respectively stored in at least multiple databases.

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.