39 results about "Design pattern" patented technology

The invention relates to a design method and system based on large model assistance, a medium and equipment. The method comprises the steps that design demand information is acquired; analyzing the design demand information based on a natural language processing technology to obtain analysis data, and converting the analysis data to obtain initial structure data; analyzing, extracting and converting the initial structure data based on the large model to obtain structured initial design data; performing visual display on the initial design data; receiving feedback suggestions and performing iterative optimization processing according to the feedback suggestions to obtain target design data; and performing standardized conversion on the target design data to obtain standard design data. According to the method, a traditional document-driven design mode is converted into a driving mode with the structural data and the design model as the core by utilizing a large model, so that the efficiency and safety problems of the existing design mode are fundamentally solved, and the design safety, efficiency and quality are remarkably improved; and a solid technical support is provided for digital engineering reconstruction in key fields such as nuclear power.

The invention discloses an application construction method and device, equipment, a storage medium and a product, and relates to the technical field of application construction. According to input user demand description data, an industry identifier is identified, and a demand knowledge graph is constructed; searching a target industry knowledge base according to the industry identifier so as to arrange the demand knowledge graph to obtain a target application design scheme; searching a software architecture design pattern library according to the target application design scheme, and outputting a target technical architecture scheme; and searching a code template library according to the target technical architecture scheme, and outputting a target application. According to the method, richer user demand information can be extracted from the user demand description data in various modes, a target application design scheme better meeting actual application demands is designed based on industry knowledge, and the quality and efficiency of application construction are improved.

The invention discloses a direct topology and shape optimization method for an existing engineering structure model, and relates to the technical field of topology optimization and shape optimization, and the method comprises the steps: carrying out the mapping through a regular hexahedron unit based on a finite element simulation model of an original engineering structure, and determining an approximate optimization simulation model; based on the approximate optimization simulation model, determining a typical design mode of multi-component non-interference optimization by transforming the state and range of a design domain; based on the typical design mode, the same discrete adjoint equation is adopted to convert the sensitivity of independent or combined application under different sensitivity algorithms, and a compatible unified optimization framework is determined; and determining a variable grouping strategy based on the compatible unified optimization framework so as to uniformly apply various manufacturing process constraints, and obtaining a structure improvement scheme with high manufacturability. The typical design mode is realized by reconstructing the original optimization simulation model, the unified discrete adjoint equation is constructed to realize free combination of different optimization algorithms, and the optimization efficiency and the engineering practicability of multi-component design are improved.

The present invention provides a parametric design method for beam reinforcement of rail transit stations, comprising the following steps: cloud platform construction, designer login, cloud authorization and authentication, design environment adaptation, beam reinforcement parametric design, and online review of design results. The present invention analyzes the business requirements of traditional beam reinforcement design models and the interactive relationship between commonly used structural calculation software and design software, and through encapsulating the parameters required for the design, establishing graphic element geometry algorithm formulas, secondary development of the required software, and establishment of a cloud platform, thereby realizing the functions of parameter standardization encapsulation, automatic parameter transmission, automatic drawing, automatic adjustment of local design results, and cloud-based management of results in the process of rail transit beam reinforcement design.

Methods, systems, and computer program products for generating computer source code products. According to one method, an engineer creating or modifying an implementation of computer source code selects design patterns from a catalog of pre-existing design patterns. The design patterns are known abstractions that solve specific problems of computer program design and implementation. The selected design patterns are then bound to elements within a representation of the implementation known as a model. The model is then converted into a representation using elemental design patterns, and this abstraction model is used to generate the computer source code in any programming language. The abstraction model is also suitable as input for an automated inference engine for validation or verification purposes prior to or after the generation of the computer source code.

A pattern size compensation method and system, device, storage medium and computer program product, the method comprising: providing a design layout of a plurality of chip units, the design layout comprising a plurality of design patterns, the plurality of chip units forming an exposure unit, the exposure unit being an exposure area divided on a wafer; obtaining the pattern density distribution condition of each chip unit by taking the whole design patterns of the plurality of chip units in the exposure unit as a calculation reference; and according to the pattern density distribution condition of the chip unit, performing pattern size compensation on the design pattern of the chip unit to obtain a compensation pattern. According to the invention, accurate graph size compensation can be realized.

This application provides a method, apparatus, device, medium, and program product for developing business process software. It relates to the field of financial technology. The method includes: responding to receiving a visual orchestration topology diagram constructed by a user through a preset visual orchestration editor; generating an operation instruction set corresponding to the visual orchestration topology diagram using a preset semantic bridging compiler; constructing an intermediate description model based on the operation instruction set and generating a structured process description file; determining a target program design pattern based on the intermediate description model; and generating corresponding application code based on the target program design pattern and the structured process description file. This method allows business personnel to directly design processes through a visual interface and generate code in real time, significantly shortening development time. The code structure based on the program design pattern ensures high cohesion and low coupling, reduces human error, and is easy to extend and maintain.

A method, device, medium and program product for lithography modeling are provided. The method comprises: determining graphic feature information corresponding to at least one region in a design pattern, the graphic feature information indicating a graphic width and a graphic pitch in the corresponding region; determining mask bias information corresponding to the at least one region based on the graphic feature information; generating a mask image corresponding to the design pattern based on the mask bias information corresponding to the at least one region; and performing lithography modeling based on the mask image.

The invention discloses a knuckle test fixture intelligent design system based on a knowledge rule base and a design method thereof, and relates to the field of automobile part tests. The system comprises a data input module, a central processing engine, a knowledge rule base module, a parameterized CAD integration module, a CAE integration module and a result output module. Design knowledge, experience and rules are subjected to software processing and algorithm processing, full-process automation and intelligentization of knuckle test fixture design are achieved, a traditional design mode which depends on manual experience and is low in efficiency and uneven in quality is thoroughly changed, the design period is greatly shortened, and the design quality and consistency are improved.

The invention discloses a visual modeling-script programming-brain graph type test case design system and method oriented to an embedded system, and belongs to the technical field of embedded systems. The method comprises the steps of receiving a user instruction, selecting and entering a design mode, and performing test case design in the selected design mode: if the design mode is a visual modeling mode, completing case design by dragging components, configuring parameters and establishing logic connection lines; if the mode is a script programming mode, script codes are written by calling a special function library, and case design is debugged and completed; if the mode is the brain map mode, using case design is completed by creating hierarchical nodes and carding test scenes and steps; and the data management module is used for storing the designed test case, and supporting exporting as a standard document or switching to other modes for secondary editing and data intercommunication. According to the method, three design modes are fused, the test case design efficiency and logic definition are remarkably improved, and team cooperation convenience is greatly enhanced.

Source code from a legacy code base is represented using a graph comprising a plurality of nodes connected by edges, each node representing a software component of the source code and each edge representing a relationship between software components. A functional marker comprising a plurality of interconnected nodes, each node representing a software component and having a known functional role is accessed. An occurrence of the functional marker in the graph representing the source code is found. A functional role is assigned to nodes in the graph which are part of the occurrence by using the known functional roles of the functional marker. For the source code from the legacy code base corresponding to the nodes with the assigned functional roles, an automated tool triggers any of: migration, deployment as a microservice, deployment as a containerised service, deployment as a cloud-native application, maintenance, refactoring. The functional marker is a design pattern which makes it possible to assign functional roles associated with the design pattern.

The invention discloses a planarization process compensation method and system, equipment, a storage medium and a computer program product, and the method comprises the steps: providing an initial layout which comprises a plurality of design patterns; performing planarization process feature prediction on the initial layout according to the pattern features of the plurality of design patterns; and according to the planarization process characteristics of the predicted initial layout, in the initial layout, setting a compensation pattern on the side part of the design pattern. According to the invention, the compensation of the planarization process is more accurate and effective, and the adaptability is higher.

The application discloses a direct topology and shape optimization method for an existing engineering structure model, relates to the technical field of topology optimization and shape optimization, and comprises the following steps: mapping a finite element simulation model of an original engineering structure based on a regular hexahedron element to determine an approximate optimization simulation model; determining a typical design mode of multi-component non-interference optimization by transforming a design domain state and range based on the approximate optimization simulation model; determining a compatible unified optimization framework by converting the sensitivity of independent or combined application under different sensitivity algorithms based on the typical design mode; and determining a variable grouping strategy based on the compatible unified optimization framework to uniformly apply various manufacturing process constraints to obtain a structure improvement scheme with strong manufacturability. The application realizes a typical design mode by reconstructing an original optimization simulation model, realizes free combination of different optimization algorithms by constructing a unified discrete adjoint equation, and improves optimization efficiency and engineering practicability of multi-component design.

The invention relates to a human-computer interaction full-process intelligent plane design method, which comprises the following steps: firstly, on the basis of alignment, repetition, superposition and proximity principles, quantifying the relationship between design elements, constructing a structured aesthetic perception graph, and converting a complex design mode into a computable data model; secondly, performing pattern mining on the AG through a clustering algorithm, integrating multi-source design data to construct an aggregation knowledge graph, fusing explicit layout rules and potential cross-graph association, and providing a reference framework for diversified design; a self-constraint random walk strategy is put forward, design content is dynamically expanded according to user input, an expansion boundary is adaptively controlled through similarity scores, and content reasonability is ensured; and finally, designing an aesthetic perception layout generator to realize accurate mapping from the element sequence to the high-quality layout. According to the method, the limitation of traditional template design is broken through, a non-professional user is supported to quickly generate a design scheme with aesthetic specifications and individuation through a small amount of input, the design threshold is remarkably reduced, and the efficiency is improved.

The application discloses a kind of visual modeling-embedded system-oriented script programming-brain map test case design system and design method, belong to embedded system technical field.The method includes receiving user instruction, selects and enters a kind of design mode, in the selected design mode, test case design is carried out: if visual modeling mode, through drag component, configuration parameter and establish logic connection line complete case design;If script programming mode, through calling special function library script code is written and debugged to complete case design;If brain map mode, through creating hierarchical node, combing test scene and step complete case design;Through data management module, the test case of design completion is saved, and export to standard document or switch to other mode is supported Secondary editing and data intercommunication.The application fuses three kinds of design modes, significantly improves test case design efficiency and logic clarity, greatly enhances team collaboration convenience.

Systems and methods for determining a target virtual compute resource configuration for provisioning a virtual compute resource. A provisioning system and method are described that abstract various provisioning requirements into different provisioning strategies. The provisioning strategies include logic that, when executed, determine target provisioning options (e.g., a region and subscription configuration) for provisioning a virtual compute resource. Combinations of strategies are organized into various provisioning strategy groups using modifiable metadata in a configuration table. In some examples, the provisioning system receives a request for a target configuration for provisioning a virtual compute resource. In response, the provisioning system determines a provisioning strategy group that best satisfies the request and executes the provisioning strategies included in the group to determine target provisioning options for provisioning the requested virtual compute resource.

The present application provides a method for optimizing a virtual pattern before OPC, comprising the following steps: providing an original design pattern of a polysilicon layer comprising a first, a second and a third polysilicon pattern which are parallel to each other and arranged in sequence and at intervals along a predetermined direction; identifying the original design pattern and obtaining size information of the first, the second and the third polysilicon pattern; adjusting the size of the second polysilicon pattern and the positions of the first and the third polysilicon pattern based on the obtained size information of the first, the second and the third polysilicon pattern to obtain a corrected pattern. The present application also provides a manufacturing method of a mask based on the above optimization method. The present application avoids repairing the pattern after finding the undesirable pattern after performing OPC by optimizing the virtual pattern before OPC to obtain an optimized pattern, improves the flexibility of operation, reduces the risk caused by OPCV missing the pattern, improves the product yield and performance stability.

The application provides an optical proximity effect correction method and system and a mask, the method comprising: obtaining a plurality of test patterns and setting a predetermined iteration number of each test pattern; dividing the plurality of test patterns into a training set and a test set; establishing an iteration number model based on a machine learning algorithm and the training set; inputting the test set into the iteration number model to obtain a test iteration number of each test pattern in the test set, and comparing the test iteration number of each test pattern with the corresponding predetermined iteration number; determining whether the iteration number model is a trained iteration number model according to a comparison result; inputting a layout file to be processed into the trained iteration number model to obtain a target iteration number corresponding to different original design patterns included in the layout file; and correcting the original design patterns included in the layout file based on the target iteration number corresponding to the different original design patterns to obtain corrected patterns.

This invention discloses a parametric design method for tubular lifting struts based on command flow, belonging to the field of strut design technology. The method includes establishing a global Cartesian coordinate system, determining the parameters to be optimized, executing the command flow, adjusting and modifying the parameters, repeatedly calculating the parameters, and outputting the overall optimal parametric design result. This invention employs a design scheme with a controllable number of lifting lugs and utilizes a programming language to achieve parametric design of parameters such as the size, material, and load of the tubular strut. It achieves the goal of meeting strut design requirements under various usage conditions simply by modifying the design parameters, thus achieving the universality and adaptability of tubular strut design while also considering automation and standardization. It eliminates cumbersome preprocessing steps such as assigning material properties, building geometric models, and applying lifting loads, realizing a ready-to-use design mode, significantly reducing the time investment in tubular strut design, and consequently lowering the design cost of tubular struts.

The application discloses a micro-architecture design space exploration method based on deep learning, comprising: obtaining target processor micro-architecture parameters, constituting a design space, obtaining performance indicators of different design points in the design space, and dividing key modules based on the design points; creating a directed acyclic graph according to the key modules, constructing a prediction model using a graph attention network to obtain a parameter optimal solution in the directed acyclic graph that meets a design target; splicing the directed acyclic graph into a global graph to obtain interconnection parameters of the key modules, introducing federal learning to train a global prediction model, and predicting and evaluating performance data of the parameter optimal solution based on the global graph; and when the performance evaluation result meets a preset performance standard, outputting target configuration parameters of the target processor under each configuration dimension. The application performs micro-architecture design space exploration in a graph embedding space, provides decision support for chip design, and improves design efficiency and flexibility by taking the idea of coordination between different design stages and design modes.

A non-transitory computer-readable medium stores a set of instructions that is executable by at least one processor of an apparatus to cause the apparatus to perform operations. The operations include extracting boundaries of a formed pattern disposed on a substrate from image information and boundaries of a design pattern from design information. The design information includes a design pattern. The image information is a two-dimensional representation of the formed pattern acquired by an image acquisition system. The operations also include generating one-dimensional projections of the boundaries of the formed pattern and the design pattern. The operations also include cross-correlating the one-dimensional projections of the formed pattern and the design pattern to generate an alignment result.

1. The name of the design product: operation bar of personal center graphical user interface of electronic equipment. 2. The use of the design product: an electronic equipment. 3. The design points of the design product: the part of the graphical user interface other than the top dashed line. 4. The picture or photo best indicating the design points: front view. 5. The design product is a planar product, and the rear view, left view, right view, top view and bottom view are omitted. 6. The use of the graphical user interface: for personal center interface, left and right partition, left side for personal information display, right side for system function display, respectively supporting vertical scrolling (with scroll bar) in case of more content, and supporting hiding of progress bar in case of less content in the content area. The front view is the graphical user interface focusing on the first focus point on the left side. When focusing on the first focus point on the right side, it is displayed as an interface change state diagram. 7. Other circumstances that need to be explained: the rounded rectangle drawn by the small-interval dashed line contained in the operation bar in the view belongs to the design pattern and is the content to be protected; the part in the top dashed line frame in the view is not the content to be protected.

This invention discloses a laser dynamic surface machining accuracy control method based on a six-axis robotic arm, comprising the following steps: Step 1: Powering the transformer and connecting it to the robot, then sequentially opening the development software for the laser, robot, and computer. Step 2: Placing the sample, starting the robot to focus on each machining surface sequentially, and setting the program to control the laser's alignment with the marking points on each machining surface. Step 3: Importing the design pattern into the development software, setting the laser parameters, and performing a no-load run (pre-machining) on ​​the sample. After verifying the toolpath is correct, machining can begin. This laser dynamic surface machining accuracy control method based on a six-axis robotic arm can be widely applied to machining scenarios involving various difficult-to-machine materials. This innovative technology provides a more reliable and efficient technical solution for related complex laser machining scenarios.

The invention discloses a photoetching texture surface treatment process for an aluminum alloy product. The photoetching texture surface treatment process comprises the following steps: performing texture on the surface of the aluminum alloy product to present a design pattern; designing and deploying a design pattern through parameters; performing parameter formula configuration by adopting Moore's law according to the design pattern; a program for designing the photoetching texture is carried out on the processing equipment by using programming software and plane software; the machining equipment conducts photoetching texture machining on the surface of the aluminum alloy product according to the program; and the surface of the processed aluminum alloy product has the texture of the designed pattern. According to the photoetching texture surface treatment process for the aluminum alloy product, surface treatment is conducted on the aluminum alloy product, patterns or graphs are designed on the outer side face according to the requirements of a producer and a seller, photoetching texture machining is achieved through control of a software program and automatic equipment, the Moore effect of different textures is formed on the surface, and the surface quality of the aluminum alloy product is improved. And the appearance attractiveness and the use feeling of the aluminum alloy product are improved.

The invention discloses a tubular hoisting support rod parameterization design method based on a command stream, which belongs to the technical field of support rod design and comprises the steps of establishing a global Cartesian coordinate system, determining parameters to be optimized, executing the command stream, adjusting and modifying the parameters, repeatedly calculating the parameters and outputting an overall optimal parameterization design result. The design scheme that the number of the lifting lugs can be controlled is adopted, programming languages are utilized, parameterization design of parameters such as the size, the material and the load of the tubular supporting rod is achieved, the supporting rod design requirements of various use conditions can be met only by modifying the design parameters, the universality and the adaptability of the tubular supporting rod design are achieved, and the application range of the tubular supporting rod is widened. The properties of automation and standardization are considered; according to the method, the complicated pretreatment steps such as material attribute endowing, geometric model building and hoisting load applying are omitted, the instant-to-use design mode is achieved, the time investment for designing the tubular supporting rod is greatly reduced, and then the design cost of the tubular supporting rod is reduced.

The invention provides a training method of an unsupervised deep learning model, the unsupervised deep learning model is used for generating a mask in a photoetching process, and the training method comprises the following steps: providing a specified number of target design patterns close to a layout pattern to be optimized, inputting the target design pattern into an unsupervised deep learning model to predict and generate a prediction mask; carrying out photoetching physical simulation on the generated prediction mask plate to obtain a simulated wafer pattern which is smoothed under corresponding light source and process conditions; comparing the simulation wafer pattern with a target design pattern to obtain a physical simulation residual error, and designing a loss function of an unsupervised deep learning model based on the physical simulation residual error; and performing iterative training on the unsupervised deep learning model based on the loss function.

The application discloses a method for analyzing the manufacturability of an integrated circuit layout, which comprises the following steps: providing an initial layout with design patterns; performing layout grid processing on a specified layer of the design patterns; calculating the layout pattern density of each grid after the layout grid processing; calculating the gradient of the layout pattern density of each grid after the layout grid processing; and judging whether the layout pattern density and the gradient of the layout pattern density meet the manufacturing specifications. The method for analyzing the manufacturability of the integrated circuit layout can calculate the gradient of the layout pattern density of each grid while judging the layout pattern density of each grid of the integrated circuit layout, thereby effectively ensuring that the layout pattern density meets the manufacturing specification requirements, and greatly improving the uniformity of the layout density to more than 90%.

Idiomatic generation of language-specific bindings of application programming interfaces (APIs) is disclosed. A machine learning model may be trained using example programming code and interfaces of a particular programming language to identify design patterns and best coding practices for that language. A specification defining an API may then be provided in a language-neutral format. The specification may then be processed according to the trained model in coordination with language-specific and language-neutral rules to generate an idiomatic interface specification targeting the programming language that incorporates at least a portion of the identified design patterns and best coding practices, where the input specification does not incorporate the identified design patterns and best coding practices.

This invention discloses a software design pattern recommendation method based on bimodal joint modeling. It fully utilizes deep language models to jointly model natural language and programming language to solve the task of recommending software design patterns to users. First, a corpus for software design pattern recommendation is constructed. Second, user requirement text and software source code are converted into real-valued feature vectors. Then, a bimodal joint modeling software design pattern recommendation model is constructed, and the feature vectors from the two different modalities are input for interactive matching. Finally, software design pattern recommendations are implemented based on user needs. This invention can provide users with a candidate list of software design patterns that meet their needs, and it has a more accurate recommendation effect compared to other models, demonstrating the practicality of the bimodal joint modeling-based software design pattern recommendation method.

This application relates to a method, apparatus, computer device, computer-readable storage medium, and computer program product for generating structured patterns on curved surfaces. The method includes: acquiring a curved surface model and topology editing operation data; performing topology design on an initial topology based on the topology editing operation data to obtain an intrinsic topology of the pattern; designing pattern elements based on preset design parameters and the intrinsic topology of the pattern to obtain a two-dimensional pattern result; parametricizing the curved surface model to obtain a parametric plane and a bidirectional mapping relationship; wherein the bidirectional mapping relationship indicates the mapping relationship between the curved surface model and the parametric plane; performing planar pattern overlap processing based on the two-dimensional pattern result and the parametric plane to obtain target pattern coordinate data; and performing inverse mapping based on the target pattern coordinate data and the bidirectional mapping relationship to obtain a structured pattern on the curved surface. This method can efficiently design the regular arrangement of three-dimensional elements and generate structured patterns.