58 results about "Function group" patented technology

A bridge scour formula optimized reconstruction method based on symbol regression. The method comprises: obtaining statistical data of bridge scour, and separately using the statistical data as a training set and a test set; determining an initial structure of a bridge scour formula; firstly, determining a candidate operator, then introducing a function group having significant physical importance and a statistical relationship in scour, and determining a candidate operation variable; by using a symbol regression method based on genetic programming, generating an optimization formula by using data of the training set; adjusting parameters and generating an alternative formula group; and, on the basis of the test set, performing formula effect evaluation and filtering out a formula form having an optimal predicted effect and the simplest formula structure. On the basis of existing standard formulas, by using a symbol regression method based on a genetic programming algorithm, a machine learning method having a nonlinear representation capability is fused, in order to more accurately mine rich features in data. Meanwhile, by combining prior knowledge of scour and a physical relationship, prediction performance and generalization of a scour calculation formula can be improved.

Data communication between a plurality of computer processes are tracked. Relationships between the plurality of computer processes are classified including by analyzing the data communication between the plurality of computer processes using a machine learning model. Based at least in part on the classified relationships between the plurality of computer processes, an existence of a service provided by a functional group of computer processes included in the plurality of computer processes are automatically discovered.

The invention discloses a manifold neural operator construction method for a boundary value problem, and relates to the technical field of machine learning, and the method comprises the following steps: S1, obtaining a geometric Laplacian operator feature function psi g where a solution function is located and a geometric Laplacian operator feature function psi b where a boundary condition function is located; s2, constructing a manifold neural operator based on the characteristic function psi g, and obtaining a geometric coding network so as to obtain a geometric embedding function group; s3, constructing a manifold neural operator based on the characteristic function psi b, and obtaining a boundary condition coding network so as to obtain a boundary condition embedding amount; and S4, embedding a combined approximation solution function of the vectors based on the geometric embedding function group and the boundary condition function so as to construct a boundary value problem-oriented manifold neural operator. According to the manifold neural operator construction method for the boundary value problem, the embedding of complex geometric information in the boundary value problem solving process is realized, and the difficulty of solving the boundary value problem by a network is reduced.

[Problem] To execute writing of information to an environment map according to a user instruction in a natural language. [Solution] This information processing device comprises: a function call unit that uses a large language model to call a map function corresponding to a language instruction input by a user from a predetermined map function group; and a function execution unit that writes teaching information specified in the language instruction to an environment map by using the map function.

Provided herein are techniques to facilitate minimizing context for LLM function calling operations. In one example, a method may include obtaining, by an interface system, a user conversation input; providing, to an LLM, for each of one or more interactions between the interface system and the LLM: a description of the interface system; the user conversation input; a list of function groups that describes types of functions that the interface system is capable of performing; and a list of private functions that are callable by the LLM, based on the user conversation input, to receive function context from the interface system or to cause function operations to be performed by the interface system; and providing one or more user conversation outputs based on at least one of the one or more interactions by the interface system with the LLM.

The invention discloses a POS machine software version update security monitoring method and device, and relates to the technical field of information security, and the method comprises the steps: obtaining a version update data packet; analyzing the data packet and obtaining an update function group; analyzing the security level of the update function group, and if the security level is greater than or equal to a preset security level, obtaining a first-level security monitoring instruction; performing deep correlation monitoring on the updated function group according to the instruction, and outputting a deep correlation monitoring data set; and performing security analysis based on the monitoring data set, outputting an associated risk index, and if the associated risk index is smaller than a preset value, performing update deployment on the POS terminal according to the update function group. The technical problem that potential safety risks in POS machine software version updating cannot be effectively monitored, prevented and controlled is solved, and the effect of comprehensive safety guarantee in the version updating process is achieved by monitoring the safety levels of the updating function groups in a graded mode and executing safety monitoring of the corresponding levels according to different safety requirements.

To provide a product presentation support system capable of supporting product presentation according to values.SOLUTION: The product presentation support system includes: an ideal behavior search unit that searches for ideal behavior from values using the relationship between values and ideal behavior; an action requirement associating unit that associates the elemental behaviors that constitute the searched ideal behavior with functional requirements using the relationship between element behavior and functional requirements; a state requirement associating unit that associates the element behaviors constituting the searched ideal behavior and functional requirements resulting from the state at the time of the element behavior using the relationship between the state during the element behavior and the functional requirements resulting from that state; a functional group generation unit that groups functional requirements that can be associated with a behavior element using the association of the element behavior with functional requirements and the distance between functional requirements; a product function connection unit that associates functional requirements grouped by the functional group generation unit and product functions; and a presentation policy generation unit that generates product information related to the entered values using the functionality information in the results of the associated product features.SELECTED DRAWING: Figure 1

The invention discloses a server-free computing-oriented task dynamic allocation method and device, equipment and a medium. The method comprises the following steps of: constructing a directed call graph according to a task execution structure; initializing each function as an independent group, calculating an initial performance score of each group based on the calling relationship, and generating a candidate function group pair set based on the initial performance scores; traversing candidate function group pairs in the candidate function group pair set, dynamically calculating inter-group fusion benefits of the candidate function group pairs based on the initial performance score, and merging the candidate function group pairs of which the inter-group fusion benefits meet a preset condition to obtain a composite function group; verifying whether the resource consumption of the generated composite function group meets the platform constraint or not, and if the resource consumption exceeds the memory quota limit, reallocating the resource; and updating a function grouping strategy according to real-time monitoring data, and selecting an optimal composite function group set for maximizing platform utility through a reverse pricing mechanism to execute a task. According to the invention, the resource utilization efficiency and performance of the cloud server are improved.

Methods, systems, and computer-readable media are used in graph-based machine learning of analog integrated circuits (ICs). In a first aspect, functional device pairs in transistor-level circuits are detected and classified using a hybrid approach combining a subgraph isomorphism algorithm, such as VF2, with a trained relational-graph convolutional network (RGCN). The VF2 algorithm identifies candidate pairs and initial categories, while the RGCN filters false positives using link prediction scores, preserving category labels for validated pairs. In a second aspect, a relational GraphSAGE model performs multi-class link prediction on a heterogeneous graph with netlist and functional relation edge types, labeling device pairs into analog primitive categories without technology-dependent features and merging overlapping pairs into larger functional groups. In a third aspect, circuit performance is predicted using a hierarchy-aware graph neural network comprising an edge-conditioned convolution (ECC) layer and multiple Circuit graph isomorphism network layers corresponding to hierarchy levels of device groupings.

The invention discloses a method and an apparatus for applicable function reporting in a node for wireless communication. The first node sends the first information block; wherein the first information block is used for indicating S applicable function groups of the first node, any applicable function group in the S applicable function groups comprises one or more applicable functions, and S is a positive integer greater than 1; all the applicable function supports in any one of the S applicable function groups are activated at the same time.

The invention relates to the technical field of data processing, in particular to a game lag analysis method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining the current frame time consumption of a target game program in a current game frame based on a frame interval interface; determining lag information of the current game frame based on the current frame time consumption and adjacent frame time consumption of an adjacent game frame before the current game frame; under the condition that the lagging information of the current game frame represents that the current game frame is lagged, obtaining function consumed time corresponding to at least one function group based on a consumed time instrumentation function corresponding to the at least one function group; and based on the function time consumption corresponding to the at least one function group, determining a lag factor corresponding to the current game frame. The game lag analysis efficiency can be improved.

The invention relates to a register resource allocation method, computer equipment, a readable storage medium and a program product. The method comprises the following steps: constructing a function group through a calling relationship between functions, wherein the function group comprises a coroutine kernel function and at least one coroutine subfunction; creating a resource record table corresponding to the function group, wherein the resource record table is used for recording register resources allocated to coroutine kernel functions and / or coroutine sub-functions in the function group; and carrying out register allocation on the coroutine kernel function and the coroutine sub-function in the function group based on the resource record table. By adopting the method, the requirements of local variable register resource isolation and shared variable register resource consistency in a collaborative mode can be met, so that the parallel computing efficiency is improved.

The invention provides a function execution state determination method and device, electronic equipment and a storage medium, and the method comprises the steps: collecting a to-be-tested picture displayed in a function page under the condition that a preset function group is triggered, and the preset function group comprises at least one preset function; the to-be-tested picture is compared with a target picture, a consistency comparison result is obtained, and the target picture is a picture displayed under the condition that the execution states of the preset functions of the function page in the preset function group are all normal; and determining an execution state of the preset function group based on a consistency comparison result. According to the method for determining the function execution state, the specific execution condition of the preset function group can be effectively determined, and automatic testing of the preset function group is achieved.

A method for processing media content in Network-Based Media Processing (NBMP) of Moving Picture Experts Group (MPEG) includes obtaining at least one function from a function repository storing one or more functions for processing media content, each of the at least one function including a function descriptor; based on the obtained at least one function, obtaining a task for processing the media content, the task including a task descriptor, the function descriptor and each of the task descriptors including a flag indicating whether the descriptor describes a function group, the function group including multiple functions of the one or more functions; and using the obtained task to process the media content based on the task descriptor.

The application relates to an electric kettle base control method and system, a storage medium and an intelligent terminal, and relates to the field of electric kettles. The method comprises the following steps: acquiring maximum torsion information; determining function group information and function adjustment range information; controlling a function knob to unlock a function area of the function group information and acquiring current function information; controlling an adjustment knob to unlock an adjustment area of the function adjustment range information corresponding to the current function information; acquiring contact information; after the contact information on the two knobs disappears for a preset time threshold, rotating the function knob to a preset area corresponding to the function information to be viewed, locking the function knob, and directly locking the adjustment knob. The application can determine the identity of a user through maximum torsion, provide corresponding functions for opening, reduce the possibility of dangerous operation by children, and improve the safety of the electric kettle.

The invention discloses a function recovery execution method and device, equipment and a storage medium, and the method comprises the steps: decomposing a total function into a plurality of function groups, the plurality of function groups comprise a main function group and a plurality of sub-function groups, and each function group comprises at least one function segment; determining an association relationship among the function groups, and executing a total function based on the association relationship; and when the execution total function needs to be recovered, recovering the execution total function according to the currently executed function segment and the association relationship. According to the method, the total function is decomposed into the plurality of function groups, each function group comprises at least one function segment, and functions with different functions can be finely realized, so that the initial position needing to be recovered can be conveniently and accurately positioned to recover function execution, the function execution time is prevented from being prolonged, the overall performance of the system can be effectively improved, and the system performance is improved. And the execution of function recovery can be orderly performed according to the association relationship among the function groups, so that the overall performance of the system can be prevented from being reduced.

The invention relates to the technical field of data processing, in particular to a multi-parameter coupling optimization system and method for a spinning bath, and the system comprises a data analysis module which obtains a multi-parameter combination in historical data, divides a process window boundary, calculates a robustness index, divides parameter space sub-regions according to the process window boundary and the robustness index, and outputs the parameter space sub-regions; and calculating the influence sensitivity of the stabilizable index to obtain a parameter importance measurement value. The numerical solution module is used for establishing a technological process mathematical equation set, microstructure characteristic parameters and defect precursor information are obtained according to the multi-parameter combined solution equation set, and the parameter evaluation module is used for obtaining a stabilization index and a defect probability. And the iterative operation module is used for generating a to-be-evaluated multi-parameter combination set according to the parameter space sub-region and the parameter importance measurement value and a differentiation mechanism, establishing a function group according to a stabilization index and a defect probability, and performing evaluation and iterative operation on the to-be-evaluated multi-parameter combination set to obtain an optimal multi-parameter combination.

The invention provides a system privilege-level architecture generation method and device and electronic equipment, is applied to the technical field of computers, and aims to solve the problem that the existing privilege-level architecture is fixed in organization form and cannot meet the actual requirements of different application scenes. When the system privilege-level architecture generation method is executed, a processor can output first configuration information according to a plurality of available privilege nodes in a system, function groups associated with the privilege nodes and first data indicating scene application requirements. Wherein the first configuration information is used for indicating a topological structure formed by privileged nodes of each privileged level in the first system privileged level architecture. Through the mode, the software and hardware resources of the system can be reconstructed according to the application requirements of the scenes, and the configuration information capable of indicating the privilege-level architecture of the system is generated, so that the actual requirements of various scenes are better met.

The application discloses a C language memory block management method and a terminal. A management object is established for a memory block, including a memory block description object and a memory block check flag. The memory block is completely described as an object, and the check function is added so as to facilitate the management. The memory block operation is performed through a function group based on the memory block management object. The safety of the memory operation is ensured through the function based on the memory block description object corresponding to the memory block. The memory check is automatically performed through the function, and the memory out-of-bound is monitored. Compared with the direct pointer access to the memory block, the memory out-of-bound and the like are detected in the function group operation stage, the independent module for the memory out-of-bound is omitted, and various common memory operation methods are provided, so that the developer can be more focused on the implementation of the specific function logic, and the development efficiency is improved.

This application discloses a function call method, apparatus, device, and medium to improve the efficiency and accuracy of function calls in a Large Language Model (LLM) for user queries, avoiding the complexity and low accuracy issues associated with directly selecting functions from a massive dataset. The function call method, used by an LLM to call functions for user queries, includes: performing multi-dimensional semantic tagging on the user query using a pre-defined multi-dimensional semantic tagging model to obtain multi-dimensional semantic tagging results corresponding to the user query; grouping functions using the multi-dimensional semantic tagging results pre-determined for at least one function using the multi-dimensional semantic tagging model, and the multi-dimensional semantic tagging results corresponding to the user query, and determining candidate function groups based on the function grouping results; and determining the function call result for the user query using an LLM based on the candidate function groups.

A time-type memory security detection method, comprising: on the basis of a source code, obtaining a plurality of analysis units each comprising a function or a function group; performing state analysis on the state of a memory block to which a pointer in the analysis units points, wherein the plurality of analysis units comprise a first analysis unit and a second analysis unit, the first analysis unit contains a function call statement used for calling the second analysis unit, and when the function call statement is being analyzed, digest information of the second analysis unit is used to perform state analysis on the state of the memory block to which the pointer associated with the function call statement points, the digest information of the analysis unit being used for describing the memory state of the memory block to which an entry and exit pointer in the analysis units points when the memory block enters and exits the analysis units; and, according to a state analysis result corresponding to the analysis units, generating digest information of the analysis units, and obtaining a detection result related to time-type memory problems in the analysis units. Thus, the resource overhead and the false and missing report rate are reduced during detection of time-type memory problems.

A terminal according to one aspect of the present disclosure has: a transmission unit that transmits capability information indicating support for a second function group that is predicated on support for a first function group for SRS using more than four transmission ports; a reception unit that receives a configuration for the SRS; and a control unit that controls transmission of the SRS on the basis of the configuration.

The invention discloses a vehicle-mounted software upgrading method and related products, and the method comprises the steps: determining a target upgrading version corresponding to target software according to an obtained target software package, and then calling a preset interface to stop a target function group associated with the target upgrading version, and modifying the current configuration file of the target software according to the target upgrading version to obtain a target configuration file, finally linking according to the target configuration file, and restarting the target software to finish upgrading of the target software. Wherein the target software package is an installation package for upgrading the target software; the current configuration file is a configuration file of the target software under a target version, and the current configuration file is backed up before being modified; the target function group is operated again after the target software is restarted. In this way, the user experience and the safety of the vehicle are improved.

The invention discloses a smart home equipment management method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining basic information of target smart home equipment in response to an access request of accessing the target smart home equipment to a management platform; obtaining a plurality of function marshalling in the management platform and the space area position of the smart home equipment included in each function marshalling; determining the proportion of the intelligent household equipment corresponding to the space area position in each function group and the target space area position to obtain an equipment proportion; semantic matching is carried out on the target function attribute and the multiple function groups, and the function matching degree of the target smart home device and each function group is determined; and determining a target function group corresponding to the target smart home device based on the device ratio and the function matching degree, and adding the target smart home device into the target function group, thereby improving the efficiency and accuracy of accessing the smart home device to the management platform of the smart home system.

The application relates to a product recommendation method, a product recommendation device and a storage medium. The product recommendation method comprises the following steps: obtaining historical data of a product, and constructing a first data matrix according to the historical data; the first data matrix comprises function points supported by the product; performing similarity analysis on the first data matrix, and merging function points with a similarity meeting a set threshold into a first product function group according to a similarity analysis result; calculating information gain of the first product function group; selecting the first product function group according to the information gain, obtaining a second product function group; calculating a product recommendation probability of the second product function group, and recommending the product according to the product recommendation probability. Through the application, the calculation amount of product data analysis in a post-processing step is greatly reduced, and the calculation efficiency is improved.

The application discloses a function architecture generation method based on a SysML model and belongs to the technical field of model-based system engineering (MBSE). The application comprises the following steps: constructing a use case and a use case activity according to a requirement; constructing a function structure according to an object flow in the use case and the use case activity; dividing a function group, grouping the use case activity in the function structure into a corresponding function group according to a preset cohesion standard; and generating a function architecture by combining the function structure with the use case activity divided into the corresponding function group as a function element. Further, on the basis of a task use case constructed by SysML, the function structure is constructed according to the object flow in the use case and the use case activity, the use case activity in the function structure is divided into a corresponding function group according to a preset cohesion standard, the use case activity divided into the corresponding function group is taken as a function element, and the function architecture in the form of a SysML internal module diagram is generated by combining the function structure, so that the function architecture is directly obtained from the use case in a direct, intuitive and traceable manner.

The embodiments of the present specification provide a data verification method and device. According to the method, a computing device first acquires function information of a target function group of a target arithmetic circuit, wherein the target arithmetic circuit is used to perform a target computing task instructed by a verification device, and the target function group is used to describe a circuit structure of the target arithmetic circuit. The computing device determines a first function according to a current computing process of the target computing task, wherein the first function is used to describe input and output values of each gate in the target arithmetic circuit in the current computing process. Then, the computing device proves that the first function satisfies a plurality of preset constraint relationships by performing an interactive argument protocol with the verification device, thereby proving the correctness of the current computing process, wherein the plurality of constraint relationships include a constraint relationship between the first function and the function information of the target function group.

The invention relates to the technical field of process parameter optimization, in particular to a stirring container paddle multi-target parameter optimization method and device, equipment and a storage medium. The method comprises the steps of determining a design variable group and a target function group, and obtaining an initial data set corresponding to the design variable group and the target function group through numerical simulation; carrying out sample point sampling on the initial data set to generate a sample set containing a multi-dimensional parameter combination; constructing a response surface model based on the sample set, and performing global optimization on the model through a multi-target grey wolf optimization algorithm to generate a Pareto frontier solution set; and screening an optimal solution from the Pareto leading-edge solution set, performing simulation verification on the optimal solution, and determining the optimal solution as an optimal structure parameter in response to a condition that a verification error is smaller than a preset precision condition. According to the invention, the efficiency and the energy consumption are balanced, so that the beneficial effects of improving the overall performance of the equipment and providing support for industrial production are achieved.

The application discloses a task dynamic allocation method and device for serverless computing, equipment and medium, comprising: constructing a directed call graph according to a task execution structure; initializing each function as an independent group, calculating the initial performance score of each group based on the call relationship, and generating a candidate function group pair set based on the initial performance score; traversing the candidate function group pairs in the candidate function group pair set, dynamically calculating the inter-group fusion benefit of the candidate function group pair based on the initial performance score, merging the candidate function group pairs with inter-group fusion benefits meeting preset conditions to obtain a composite function group; verifying whether the resource consumption of the generated composite function group meets platform constraints, and if the resource consumption exceeds the memory quota limit, reallocating resources; updating the function grouping strategy according to real-time monitoring data, and selecting the optimal composite function group set that maximizes the platform utility to execute the task through a reverse pricing mechanism. The application improves the cloud server resource utilization efficiency and performance.