61 results about "Functional features" patented technology

The invention discloses a dynamic tool selection and optimization system and method oriented to large model external tool calling. The method comprises the steps that data input by a user is obtained, and standardization processing and feature extraction are carried out; performing multi-dimensional task analysis based on the extracted features to generate a task analysis result; constructing a tool feature space, wherein the tool feature space comprises functional features, performance indexes and resource requirements; performing tool selection and combination optimization by adopting a dynamic self-adaptive matching engine; executing intelligent call link optimization, including parallel scheduling and resource allocation; the calling process is monitored in real time, and multi-level anomaly detection and early warning are carried out; generating a multi-objective optimization strategy based on the monitoring data; and continuously optimizing and updating the calling strategy through a reinforcement learning mechanism. According to the method, the tool selection accuracy can be improved, the calling efficiency is optimized, and the system reliability is enhanced.

A kiosk may be provided that contains a number of blank cards. A graphical user interface of the kiosk may allow a user to define products that may be associated with a blank card contained within the kiosk. Aesthetic and functional features may be applied to a blank card by a kiosk and dispensed to a user of the kiosk as a fully functional card. An interrogation device of a kiosk may retrieve products associated with a current card and may associate the retrieved products with a new card to be dispensed from the kiosk. A kiosk may access a network to preauthorize any products that may be associated with a card dispensed from or programmed by the kiosk.

The embodiment of the invention provides a cache strategy verification method, device and equipment and a readable storage medium, and the method comprises the steps: constructing an initial state machine model based on a state set cached in a data interaction process; the state in the initial state machine model is triggered to transfer when the corresponding operation condition is realized; in the state transition path of the initial state machine model, configuring a time condition to obtain an updated state machine model; updating the state in the state machine model to trigger transfer when the corresponding operation condition and time condition are realized; according to a plurality of states and state transition paths in the initial state machine model, constructing functional features corresponding to the states, and according to time conditions, constructing performance features corresponding to the states; and performing search verification on the updated state machine model, and respectively determining a function verification result corresponding to the function feature and a performance verification result corresponding to the performance feature. According to the invention, the accuracy of cache strategy verification can be improved.

Methods, systems, and non-transitory computer readable media for building a program using a Gen AI model. For building the program, first information including at least functional features and technical features to consider are received. Based on the first information, a list of requirements to create the program with at least one solution for each requirement is determined. Based on the list of requirements, a plurality of solution combinations are identified, checked for avoiding conflict, and assessed based on weighting assigned to the requirements, such that the solution combinations include solutions from higher weighted requirements and exclude conflicting solutions from lower weighted requirements. Based on identified plurality of solution combinations, a particular solution combination is selected. For running the program, an order of application of solutions within the particular solution combination is selected, the program is created from the solutions in the selected order, and the program is run.

The invention discloses an intelligent matching conversion method and system from an HTML (Hypertext Markup Language) document to a PPTX document, and the method comprises the steps: obtaining and analyzing the HTML document, determining a hierarchical structure, a style and a semantic structure, and extracting elements; extracting visual features, structural features, semantic features and functional features of the elements; classifying the elements according to categories by adopting a convolutional neural network, and performing similarity matching by adopting a matching model based on a Transform architecture to obtain an optimal matching result; converting the elements into PPTX elements, carrying out layout on the PPTX elements, and carrying out animation effect conversion on the PPTX elements according to functional characteristics of the elements; and performing rendering and standardization processing on the converted and arranged PPTX elements to generate a PPTX document. According to the technical scheme, the element matching accuracy is remarkably improved, the layout conversion quality is greatly improved, complete style information is reserved, and the conversion efficiency is remarkably improved.

We provide an invention creation system and program that can systematically analyze technical and market information, accurately identify unexplored areas, and efficiently create and evaluate novel solutions for those areas. The invention creation system creates new inventions by analyzing a database containing technical literature, patent information, and market information. This invention creation system is characterized by comprising: a technology space modeling unit that analyzes the database, classifies technical elements into functional features and structural features, and maps the relationships between them onto a multidimensional technology space; a white space identification unit that identifies, as technological blank areas, areas in the multidimensional technology space where the combination density of existing technologies is low or areas where no structural features corresponding to specific functional features exist; a general-purpose design knowledge base that systematizes the mapping relationship between the functional space and the structural space and technological principles; and an automatic invention creation unit that sets required functions in the technological blank areas, searches for structural combinations that realize the required functions based on the general-purpose design knowledge base, and generates design solutions.

This application discloses a BOM configuration method, apparatus, system, and storage medium. The method includes: when a selection operation on a product planning document is received, loading the product planning document; when a selection operation on a specific release module in the product planning document is received, determining the functional feature code corresponding to the release module through the product planning document; determining the assembly combination matching the functional feature code through the product planning document; determining the sub-part information corresponding to the assembly combination through a knowledge base; and outputting a BOM file containing the assembly combination and the corresponding sub-part information. The solution provided in this application can improve the efficiency of building BOM files for automotive assemblies and sub-parts.

The present application relates to the field of intelligent game development, and specifically to a modular game development engine system and method. It uses artificial intelligence technology based on deep learning to perform semantic analysis on game development project requirements, generate game logic text, and call basic component packages at the same time, and randomly arrange and combine each basic component in the basic component package and perform text description global semantic association encoding to generate a diversified basic component package functional feature representation, and then based on the semantic matching between the game logic text and the basic component package functional information, intelligent recommendation of the basic component package is achieved. In this way, the accuracy and efficiency of component selection in the game development process can be effectively improved, development costs can be reduced, and code reuse and game quality can be promoted.

The invention provides an aldehyde removal control method and device, electronic equipment and an application program. The method comprises the steps that in response to the fact that target formaldehyde removal equipment contains multiple functional features, the target formaldehyde removal equipment is displayed in multiple functional groups of a first operation interface, and the multiple functional features correspond to the multiple functional groups in a one-to-one mode; in response to the fact that the formaldehyde removal devices are added to the first function group and the second function group in the multiple function groups, the first control is configured to be operable, and the first control is used for starting the linkage formaldehyde removal function. According to the formaldehyde removal method and device, the technical problem that the formaldehyde removal effect is not ideal due to the fact that the intelligent household equipment cannot be accurately controlled to carry out cooperative formaldehyde removal due to the lack of a scheme for classifying the equipment according to the formaldehyde removal function of the intelligent household equipment is solved.

The application discloses a node processing review and precision improvement method based on three-dimensional laser scanning, relates to the technical field of digital manufacturing and steel structure engineering precision control, and comprises the following steps: through multi-scale structure feature identification, basic attributes and topological relationship modeling are combined, effective guidance of design information to the whole detection process is realized, through enhanced feature tree driven scanning path planning combined with multi-view point cloud fine splicing strategy, the collaborative mechanism of scanning implementation and design features is embodied, high-quality data acquisition of key functional features is realized, through multi-scale feature corresponding set construction combined with an adaptive nonlinear least square optimization model, the idea of multi-level constraint collaborative participation registration is embodied, high-stability rigid body transformation solution is realized, through deviation field construction combined with function area confidence and effective error index calculation, the ability of detection result transformation to engineering decision is embodied, and the scientificity of correction and rework decision is improved.

The utility model relates to a quick connecting device, which is used for quick positioning, assembling and connecting of two mutually independent modules and comprises a plugging table arranged outside a first equipment shell, a pair of socket tables arranged on the outer side of a second equipment shell, and a pair of locking and unlocking rods connected between the plugging table and the socket tables, and the unlocking block is arranged in the second equipment shell. According to the rapid connecting device, rapid connection binding and unbinding separation between two pieces of equipment can be achieved through coordination matching and action relations among a plurality of structural components, and the rapid connecting device has the advantages of being time-saving, labor-saving, efficient and convenient to operate and functional characteristics for an assembly production line with the requirements for mutual assembly and alignment connection.

The present application relates to a method, a computer system and a medium for optimizing an algorithm model to be verified, the method comprising: packaging the algorithm model to be verified as a companion file; generating a companion filter, wherein the companion filter can capture the companion feature value output by the companion file; combining the companion file and the companion filter into a companion task, and sending the companion task to a matching vehicle, wherein a functional task is installed in the vehicle, and the functional task is composed of a functional file and a functional filter, wherein the functional filter can capture the functional feature value output by the functional file; capturing the companion feature value output by the companion file and capturing the functional feature value output by the functional file; and comparing the captured companion feature value with the functional feature value, and evaluating and / or optimizing the algorithm model to be verified at least according to the result of the comparison. The present application verifies the algorithm model to be verified in a real road scene, thereby improving the verification effect of the algorithm model to be verified.

The invention belongs to the technical field of software engineering, and particularly relates to a code digital twinning construction method based on a large model. According to the method, domain concept extraction, software functional characteristic knowledge extraction, high-level design decision analysis, code units and structural relations thereof are comprehensively utilized to construct a code digital twinborn model which is co-constructed, shared and synchronously evolved with codes and is used for conceptualized representation of software domain knowledge; the method comprises the following specific steps: knowledge representation design: designing different representation modes for various knowledge; product-oriented skeleton knowledge is extracted; explanatory knowledge extraction with the design principle as the center; product-knowledge mapping construction is carried out; and joint evolution and incremental updating are carried out, a construction process and software product evolution are in butt joint, and synchronous evolution of the knowledge base and the software product is ensured. According to the method, developers can be helped to understand field background knowledge, functional characteristics and design knowledge contained in complex software codes, so that software development and maintenance tasks are better completed, and intelligent development and maintenance support is provided.

The application discloses a kind of intelligent matching conversion methods and systems from HTML to PPTX document, method includes: obtaining HTML document and carrying out parsing, determine hierarchy, style and semantic structure, and extract element;Extract the visual features, structural features, semantic features and functional features of element;Classify elements according to categories using convolutional neural networks, and use a matching model based on the Transformer architecture to perform similarity matching to obtain the best matching result;Convert the element to a PPTX element, layout the PPTX element, and convert the PPTX element to an animation effect based on the functional features of the element;Render and standardize the converted and laid out PPTX elements to generate a PPTX document. Through the technical solution of the present application, the element matching accuracy is significantly improved, the layout conversion quality is greatly improved, the complete style information is preserved, and the conversion efficiency is significantly improved.

A kiosk may be provided that contains a number of blank cards. A graphical user interface of the kiosk may allow a user to define products that may be associated with a blank card contained within the kiosk. Aesthetic and functional features may be applied to a blank card by a kiosk and dispensed to a user of the kiosk as a fully functional card. An interrogation device of a kiosk may retrieve products associated with a current card and may associate the retrieved products with a new card to be dispensed from the kiosk. A kiosk may access a network to preauthorize any products that may be associated with a card dispensed from or programmed by the kiosk.

The invention discloses a federated learning method based on equipment cluster dynamic time warping in an industrial internet of things, and the method comprises the steps: collecting a plurality of functional features of each internet of things equipment at a plurality of moments in advance in the industrial internet of things, and constructing a functional feature matrix; the Internet of Things devices are clustered according to the functional feature time matrix similarity between the Internet of Things devices, the functional feature time matrix similarity is obtained based on dynamic time warping calculation, in the federated learning process, cluster centers of all device clusters are subjected to intra-cluster parameter aggregation, and the cluster centers of all the device clusters are subjected to intra-cluster parameter aggregation; and the federated learning server globally aggregates the intra-cluster parameters uploaded by each cluster center, so that federated learning is completed. According to the method, the functional feature time matrix similarity between different Internet of Things devices is calculated by using dynamic time warping, and the similar Internet of Things devices are clustered, so that the generalization ability and training efficiency of a model in federated learning are improved.

A cap assembly for a toilet. The cap assembly is configured to be operatively placed with respect to a toilet to shield from view at least portions of anchor bolts, and components that secure the anchor bolts to thereby maintain the toilet in an operative position with respect to a mounting surface. The cap assembly may additionally incorporate one or more functional features.

This invention relates to the field of computer software technology. Specifically, it relates to a method for constructing a software development model adapted to multiple hardware platforms. When the target hardware platform is first started, a hardware baseline detection daemon is run to collect multi-dimensional low-level physical feature parameters and uses a sparse coding algorithm to fuse and generate a hardware baseline capability fingerprint. During the software development phase, a compile-time annotation processor is used to scan key functional modules and extract non-functional feature contract tags pre-embedded by the developer using structured declarative annotations into a tag list index file. After the fingerprint generation is completed upon software startup, a multi-dimensional constraint solving rule engine is used to perform conflict detection and optimal fit scoring and sorting of the module contract tags and hardware fingerprints, and to select the uniquely matching target functional module entry class. Based on this entry class, a server-side dynamic orchestration and distribution mechanism is used to extract only the associated high-cohesion atomized payload packages and inject them into the main program runtime context to complete dynamic assembly.

The present invention discloses a dynamic tool selection and optimization system and method for large model external tool calls, which includes obtaining user input data, performing standardization processing and feature extraction; performing multi-dimensional task analysis based on the extracted features to generate task analysis results; constructing a tool feature space, including functional features, performance indicators and resource requirements; using a dynamic adaptive matching engine to perform tool selection and combination optimization; performing intelligent call link optimization, including parallel scheduling and resource allocation; real-time monitoring of the call process, performing multi-level anomaly detection and early warning; generating a multi-objective optimization strategy based on monitoring data; and continuously optimizing and updating the call strategy through a reinforcement learning mechanism. The present invention can improve the accuracy of tool selection, optimize call efficiency, and enhance system reliability.

The embodiment of the present application provides an integrated development method and device for mini-programs, the method comprising: receiving a mini-program development instruction sent by a user, determining a corresponding device type and operating system environment according to the mini-program development instruction, and determining a corresponding mini-program function summary feature according to the device type and operating system environment; inputting the decision tree prediction feature into a feature integration layer of a preset regression tree model, determining the corresponding mini-program function feature according to the decision tree prediction feature, the regression tree prediction feature output by the pruning layer in the preset regression tree model, and a preset model integration algorithm, determining the corresponding mini-program function feature according to the mini-program function feature, preset real features, and a back propagation algorithm, and performing a mini-program project generation operation according to the mini-program function module model; the present application can perform integrated mini-program development in a more intelligent, accurate, and efficient manner to improve development efficiency and mini-program quality.

The present invention discloses a method and system for constructing a code map oriented to functional features, belonging to the technical field of computer software. The method includes: extracting the functional features of a software project; constructing a knowledge graph of the software project; matching relevant nodes in the knowledge graph according to the functional features by using the description attributes of the nodes to obtain a subgraph, and obtaining a code link oriented to the functional features based on the subgraph; rendering the code link oriented to the functional features to obtain a code map. The present invention can abstract shallow modules such as classes and methods into deep modules for visual display, and gradually master the code library.

The invention discloses a multifunctional auxiliary ship spatial arrangement method and system based on industrial requirements, and the method comprises the steps: obtaining historical use examples of different functional types of breeding auxiliary ships, analyzing the correlation among the features of a mariculture pasture, the breeding operation requirements and the functional features of the breeding auxiliary ships, and constructing a first breeding auxiliary ship rule base; extracting ship structure features and historical ship navigation features of the breeding auxiliary ships of all the function types, judging the incidence relation between ship space and ship performance, and constructing a second breeding auxiliary ship rule base; analyzing the economic characteristics of each single-function breeding auxiliary ship, and associating the association rules in the first breeding auxiliary ship rule base and the second breeding auxiliary ship rule base to construct a coupling association rule base; and obtaining a current marine ranch breeding operation requirement, performing arrangement scheme analysis in combination with the coupling association rule base, and generating an arrangement scheme for recommendation. Therefore, full-life-cycle collaborative optimization meeting operation requirements and considering functions, performance and cost of the ship body is realized.

Apparatuses, systems, and techniques are presented to generate one or more interfaces. In at least one embodiment, one or more neural networks are used to generate one or more second graphical user interfaces based, at least in part, on one or more functional features of one or more first graphical user interfaces.

The embodiment of the invention provides an applet intelligent recommendation method and device based on a function summary, and the method comprises the steps: carrying out the cutting of text description and code data of an applet through employing a preset text analysis and mode recognition algorithm, and obtaining the cutting data, extracting keywords and functional features from the block data through a preset natural language processing algorithm, and determining corresponding applet function summary features according to the keywords and the functional features; determining a corresponding applet pushing model according to the applet classification features and a back propagation algorithm, and executing applet pushing operation according to the applet pushing model; according to the method and the device, the applet pushing accuracy can be effectively improved.

System for providing troubleshooting solutions for an electronic device is described. The system includes a query engine, that may receive a troubleshoot query from a user of the electronic device. The troubleshoot query indicates a device model of the electronic device and an issue with the electronic device. Further, the query engine may identify a context vector corresponding to the device model based on a mapping table and the device model. The context vector describes a relationship between the device model, a plurality of troubleshoot support documents, and functional features of the device model. Further, the system includes a machine learning engine to determine a troubleshooting solution for the issue based on the issue and the context vector corresponding to the device.

The invention relates to the technical field of production simulation, and provides a scene modeling method and system for realizing baby carriage production based on a 3D technology, and the method comprises the steps: calculating a fit index between a baby carriage production task and a baby carriage engineering project, and setting a project production level corresponding to the baby carriage engineering project; workshop production images corresponding to the baby carriage production workshop are collected, accessory element images in the baby carriage engineering project are extracted from the workshop production images, and equipment functions corresponding to baby carriage production equipment are analyzed; carrying out modeling processing on the baby carriage engineering project to obtain a three-dimensional project model; extracting element morphological features and element functional features corresponding to the accessory elements in the accessory element image, formulating an optimal assembly sequence corresponding to the accessory elements, and planning an optimal assembly path corresponding to the accessory elements; and executing production assembly processing of the accessory elements in the three-dimensional project model to obtain an assembly result. The method aims at improving the scene modeling accuracy under baby carriage production.

The application discloses a kind of multi-graph hierarchical road network representation methods based on graph neural network, in the method, the structure perception graph neural network of spectral clustering and graph attention network is formed, modeling is carried out to road network representation of different levels, two kinds of virtual nodes, namely structure area and functional area, are introduced, multi-graph mechanism is used to guide virtual node to correspond with the structure area and functional area of real world, structural similarity is established using road type attribute, functional similarity between road segments is defined using city POI information, message sharing is then performed at high level, then updated information is propagated to low level nodes, and functional attributes of road network are supplemented;Using the method, road network representation containing structural features and functional features can be obtained;It is convenient to determine road network structure and functional role;It is helpful to reveal the functional area of city, helpful to route planning and time of arrival estimation and position prediction, and conducive to the construction of intelligent transportation system.

Provided herewith is a hands-free dynamic tool & equipment holder. Depicted is a portable holder apparatus for hands-free holding of tools and equipment, which apparatus may include a base stand, stabilizing legs, a holding sleeve, and a thumbscrew. The holding sleeve may be rotatably adjustable, with an adjustability section including angle adjustment teeth, functioning to facilitate angular rotation of the holding sleeve. Modular fastening mechanisms and accessory attachments may provide various functional features to the holder apparatus, and snap-together and three-piece assemblies may function to connect and define components of the holder apparatus.

The invention discloses an object modeling method, device and equipment based on the industrial Internet of Things and a medium, and relates to the technical field of digital management.The modeling thought of a to-be-modeled object is expanded through multi-source data of the to-be-modeled object, geometric modeling and state modeling are conducted firstly, on one hand, the structure of entity equipment of the to-be-modeled object is reflected, and on the other hand, the modeling thought of the to-be-modeled object is expanded; on one hand, the state of the entity equipment is reflected, then functional block division is performed on the structure through different functional features of the entity equipment, the association degree expression of each functional block and the state is embedded on the structure, different association degrees are marked through different marking modes, and finally, marks are mapped back to the geometric model with the divided functional blocks. According to the method, the model of the to-be-modeled object is constructed, the model constructed through the means can reflect the physical entity structure, expression of different functional blocks can be directly added on the basis of physical entity structure representation, the association degree of the functional blocks and the current state can be marked, the modeling display effect can be improved, and the modeling display efficiency can be improved. And more support is provided for comprehensive digital management.