31 results about "Input design" patented technology

The invention discloses an SQL statement structure verification system based on large model and knowledge graph fusion enhancement. The SQL statement structure verification system comprises a knowledge graph construction module, an input design module, a verifier design module and an output design module. According to the method, a knowledge graph is introduced as a structured semantic support, and a closed-loop enhancement processing flow of SQL statements from generation, verification to optimization is realized in combination with a structure perception cue word design, a rule verification mechanism and a Function Call feedback interface; the defects that an existing Text2SQL method is insufficient in structural understanding, lack of semantic reasoning, weak in generalization ability, dependent on computing power and the like are overcome. According to the method, triple guarantee of semantic perception, rule driving and model assistance is realized, the accuracy, robustness and interpretability of SQL generation are remarkably improved, and the cognitive load and operation risk of non-professional users in database interaction are effectively reduced.

The invention provides a rapid design model reconstruction method and system based on parameterized feature decoupling, and relates to the technical field of data processing, and the method comprises the steps: selecting a product template from a parameterized product template library constructed according to a feature decoupling idea; on the basis of the selected product template, a new design scheme is obtained through saving operation; based on the new design scheme, determining a process type selection calculation book through project requirements, inputting main body parameters of the design scheme according to the process type selection calculation book, and storing the main body parameters to obtain a parameterized design scheme; on the basis of a parameterized design scheme, parameters of key parts are sequentially input and stored according to predefined part types in a product template, and complete parameter configuration is obtained. Normalization and standardization of product design are achieved, and finally the purposes of shortening the development period and reducing the product cost are achieved.

A method for designing a unit cell may include receiving input data via a user interface, the input data including one or more input design parameters for a unit cell, rendering a virtual three-dimensional (3D) representation of the unit cell within the user interface, based on the input design parameters, receiving, via the user interface, at least one modification command modifying the virtual 3D representation of the unit cell, altering the input data based on the received modification command, resulting in modified design parameters for the unit cell differing from the input design parameters, and outputting the modified design parameters for the unit cell.

The invention relates to the technical field of highway engineering digital management and artificial intelligence, and provides a highway engineering drawing, quantity and price integrated cost compilation method and system based on AI enhancement. The method comprises the steps of obtaining a to-be-processed design drawing; based on AI multi-modal recognition capability, processing the input design drawing, and performing automatic extraction, calculation and cleaning to form a multi-level engineering quantity combination data set based on standard EBS classification and coding; automatically associating the project amount combination data set to a budget cost project, a list sub-item or a quota sub-item based on a rule engine, and generating cost data of each stage according to different compilation depths and data category requirements of cost of different stages; performing penetration or backtracking on data of each link from input to output, and generating a graph, quantity and price integrated management framework; and when the design drawing is changed, updating the related engineering quantity combination data set and the cost number based on the drawing, quantity and price integrated management framework so as to generate standardized cost data and reports.

Process control parameters are predicted to fabricate an object using deposition. An input design geometry is provided for the object. A training data set includes past post-build physical inspection data for a plurality of objects that comprise at least one object that is different from the object to be physically fabricated; and training data generated through a repetitive process of randomly choosing values for each of multiple process control parameters and scoring adjustments to the multiple process control parameters as leading to either undesirable or desirable outcomes, the outcomes based respectively on the presence or absence of defects detected in a fabricated object arising from the process control parameter adjustments. A machine learning algorithm is trained using the provided training data set and a predicted optimal set of the multiple process control parameters is generated for initiating and performing the deposition process to fabricate the object.

The invention relates to a software function point identification method fusing a large model and multiple clustering analysis, and solves the problems of subjective deviation, inconsistent naming and low auditing efficiency caused by function disassembly depending on artificial experience in traditional function point measurement and calculation. The method comprises the following steps: inputting a design scheme, and constructing a document level semantic tree; obtaining feature information described by corresponding function points in the semantic tree, and analyzing the feature information to determine candidate function points; fusing the candidate function points according to semantic tree hierarchy alignment; and carrying out differentiation processing on the candidate function points, and carrying out duplicate removal on the similarity frequency according to the candidate function points to obtain the function points. According to the method, based on construction and analysis of a document hierarchy semantic tree, feature positions and large model reasoning ability are combined, and accurate extraction and auditing of function points are achieved. And differentiation is formed by adopting multiple clustering, and a co-cooperation relation matrix is constructed through clustering cross validation, so that the function point de-duplication accuracy is greatly improved.

The invention discloses a GPU program soft error elasticity prediction method based on an error propagation knowledge graph. The method comprises the steps that static and dynamic information of a program is acquired; single-particle bit flipping fault injection is carried out at the register or memory level, and the occurrence rate of different types of error results after bit flipping occurs at each fault point of the program is obtained; preprocessing data obtained by fault injection, and encoding heuristic features; the method comprises the following steps: pre-training a Word2Vec model based on a program SASS assembly code, and mining semantic knowledge of an instruction to obtain a semantic embedding feature of the instruction; constructing an error propagation knowledge graph by combining the execution condition and the data dependency relationship between the program instructions; and fusing the two heterogeneous feature representations as input, and designing a GPU program soft error elasticity prediction model based on the graph convolutional network. According to the method, heterogeneous feature mining and error propagation relation modeling are carried out on the program, the soft error elasticity of the GPU program fault point can be identified more accurately, and the method has higher soft error prediction rate and lower space-time overhead.

The application belongs to the technical field of transformer three-dimensional design, and discloses a transformer three-dimensional parameterized design method based on Autodesk Inventor, which is realized based on an iLogic programming platform embedded in Autodesk Inventor, and the design steps are as follows: step one, establishing a standard component template; step two, parameterized design; step three, three-dimensional model generation; step four, two-dimensional drawing generation; and step five, version management and updating. The sub-modules are set as the standard component template, and the parameterized mode is used, so that the designer only needs to input design data in the input interface of the parameterized standard component template during design, then calls the program to calculate, and the transformer three-dimensional model and two-dimensional drawing can be obtained, thereby greatly reducing the workload and shortening the design cycle, and more importantly, the algorithm of the parameterized standard component template eliminates the quality problems caused by human factors and controls the design quality at a high level.

To automatically generate a drawing including at least one of process information and sequence information.SOLUTION: The drawing generation system 1 includes a drawing generation unit 10 that receives an input of input data including a design specification that is a book in which design information of a plurality of devices is described and outputs output data including drawing data. The drawing generation unit 10 includes a device information generation unit 11 that generates device information on the devices based on the input design specification, and a connection information generation unit 12 that generates connection information indicating a connection relationship between the devices based on the input design specification, and the drawing generation unit 10 generates drawing data in which a plurality of figures including symbols representing the devices and lines connecting the devices are drawn in a frame of the drawing based on the device information and the connection information generated by the device information generation unit 11 and the connection information generation unit 12, and output the generated drawing data.SELECTED DRAWING: Figure 2

Provided are: an insole manufacturing system and manufacturing method which enable anyone in any area to manufacture a desired insole according to their needs; and an insole manufactured by the same. This manufacturing system for manufacturing a desired insole composed of a plurality of parts from thousands of patterns or more, preferably hundreds of thousands of patterns or more, even more preferably hundreds of billions of patterns or more, includes a design unit which is configured by a computer, and which selects a plurality of parts from a predetermined part list according to an input design specification and designs the insole by arranging the plurality of selected parts.

The application discloses a kind of flow meter abnormal behavior monitoring method and system, method includes flow meter abnormal state description, preliminary control input, unknown dynamic approximation, adaptive parameter update law, final control input and flow meter abnormal behavior monitoring.The application belongs to the field of data processing, specifically refers to a kind of flow meter abnormal behavior monitoring method and system, the scheme is compensated unknown disturbance by using adaptive switching control gain through preliminary control input design, unknown nonlinear dynamics caused by temperature change and medium fluctuation factor to flow meter are approximated using logic system, to further improve the precision of abnormal monitoring;Adopting online adaptive updating fuzzy approximator parameter, set fusion updating mechanism in combination with fusion coefficient, realize the continuous learning of dynamic characteristics under normal and abnormal state of flow meter;Adaptive dynamic abnormal threshold mechanism is introduced, dynamically adjusts abnormal threshold, avoids false alarm and miss problem caused by fixed threshold.

We provide the system. [Solution] An input means for the user to input design instructions to the system in natural language, A natural language processing means that analyzes natural language instructions input through an input means, An instruction interpretation means interprets specific design requirements and placement conditions based on instructions analyzed by a natural language processing means, An image generation means that automatically generates design drawings based on the design requirements obtained by the instruction interpretation means, A means for verifying the results, which includes checking the quality of the generated design drawings and verifying their consistency with the instructions, An output means for providing the user with the final confirmed design drawings, A system that includes this.

The present application relates to the field of integrated circuit computer-aided design, and particularly relates to a via cell automatic generation method, system, device, medium and product. The via cell automatic generation method comprises the following steps: inputting a design rule file, identifying and extracting constraint parameters of a via and metal interconnection, and dividing the constraint parameters into size type and surrounding amount type constraint rules; traversing and obtaining values of the surrounding amount constraint parameters of the surrounding amount type constraint rules in the design rule file, arranging and combining all the values, defining each combination generated as a candidate via cell configuration, and generating a via cell configuration list. The via cell configuration list is traversed, and it is judged whether the candidate via cell configuration conforms to the size type constraint rule. If not, it is modified or deleted. If the rule is met, a via cell library is output. The system, computer device, computer readable storage medium and computer program product of the present application have the same beneficial effects as the via cell automatic generation method.

Process control parameters are predicted to fabricate an object using deposition. An input design geometry is provided for the object. A training data set includes past post-build physical inspection data for a plurality of objects that comprise at least one object that is different from the object to be physically fabricated; and training data generated through a repetitive process of randomly choosing values for each of multiple process control parameters and scoring adjustments to the multiple process control parameters as leading to either undesirable or desirable outcomes, the outcomes based respectively on the presence or absence of defects detected in a fabricated object arising from the process control parameter adjustments. A machine learning algorithm is trained using the provided training data set and a predicted optimal set of the multiple process control parameters is generated for initiating and performing the deposition process to fabricate the object.

1. The name of the design product: floor washing machine control graphical user interface for electronic equipment. 2. The use of the design product: for an electronic equipment. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: design 1 interface change state figure 2. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: for controlling the operation of the driving type floor washing machine program. 7. Human-Computer Interaction Methods of Graphical User Interface: Design 1 main view is the main interface; Design 1 interface state change diagram 1 is the interface after correctly entering the password in the input box of Design 1 main view and clicking the right arrow; Design 1 interface state change diagram 2 is the interface after clicking "il ACKNLOWLEDGE" in Design 1 interface state change diagram 1; Design 1 interface state change diagram 3 is the interface after clicking "Settings" in Design 1 interface state change diagram 2; Design 1 interface state change diagram 4 is the interface after clicking "Battery Management" in Design 1 interface state change diagram 3; Design 2 main view is the main interface; Design 2 interface state change diagram 1 is the interface after correctly entering the password in the input box of Design 2 main view and clicking the right arrow; Design 2 interface state change diagram 2 is the interface after clicking "il" in Design 2 interface state change diagram 1. The interface after "ACKNLOWLEDGE"; Design 2 interface change state diagram 3 is the interface after clicking "Settings" in Design 2 interface change state diagram 2; Design 2 interface change state diagram 4 is the interface after clicking "Language Management" in Design 2 interface change state diagram 3; Design 3 main view is the main interface; Design 3 interface change state diagram 1 is the interface after correctly entering the password in the input box in the Design 3 main view and clicking the right arrow; Design 3 interface change state diagram 2 is the interface after clicking "il ACKNLOWLEDGE" in Design 3 interface change state diagram 1; Design 3 interface change state diagram 3 is the interface after clicking "Settings" in Design 3 interface change state diagram 2; Design 3 interface change state diagram 4 is the interface after clicking "Date and Time" in Design 3 interface change state diagram 3; Design 4 main view is the main interface; Design 4 interface change state diagram 1 is the interface after correctly entering the password in the input box in the Design 4 main view and clicking the right arrow; Design 4 interface change state diagram 2 is the interface after clicking "il The interface after "ACKNLOWLEDGE"; Design 4 interface change state diagram 3 is the interface after clicking "Settings" in Design 4 interface change state diagram 2; Design 4 interface change state diagram 4 is the interface after clicking "Runtime Management" in Design 4 interface change state diagram 3; Design 5 main view is the main interface; Design 5 interface change state diagram 1 is the interface after correctly entering the password in the input box in the Design 5 main view and clicking the right arrow; Design 5 interface change state diagram 2 is the interface after clicking "ACKNLOWLEDGE" in Design 5 interface change state diagram 1; Design 5 interface change state diagram 3 is the interface after clicking "Settings" in Design 5 interface change state diagram 2; Design 5 interface change state diagram 4 is the interface after clicking "Historical Fault Query" in Design 5 interface change state diagram 3.

The invention provides an additive and subtractive integrated intelligent construction system and method for a special-shaped structure, and the system comprises a hybrid layered construction (HLC) software system which is used for generating and converting a control instruction which can be executed by a robot system based on an input design model; the hybrid intelligent construction HIC controller is used for generating and coordinating corresponding control instructions of the additive tasks and the subtractive tasks on the basis of the control instructions from the hybrid hierarchical construction HLC software system; and the hybrid intelligent construction hardware system is used for executing the control instructions of the material increase task and the material decrease task sent by the hybrid intelligent construction HIC controller. High-precision and efficient construction of a large complex special-shaped structure is achieved, and material waste can be reduced.

Device (40) for managing dimensional information, which manages dimensional information about an embedded object (51) contained in a search image showing the presence or absence of an embedded (51) object in a measurement object (50) and generated by a device (10) for scanning embedded objects, which performs a scan along the measurement object (50), wherein the device (40) for managing dimensional information comprises: a detection unit (41) configured to detect search information comprising the search image from the device (10) for scanning embedded objects; and a search information storage unit (43) configured to store the search information acquired by the acquisition unit (41); characterized by an input unit (44) into which design information is entered, which includes position information about the embedded object (51) in the measured object (50); a matching unit (47) configured to compare the search information stored in the search information storage unit (43) with the design information entered into the input unit (44) and to determine whether a match exists or not; and a design drawing generation unit (48) which is configured to generate a design drawing with screw positions based on the search information and the corresponding design information, if, as a result of the matching performed by the matching unit (47), the search information matches the design information.

The application discloses a kind of high-precision servo valve coil resistance and outer diameter calculation method, comprising the following steps: step 1: input design parameter;Step 2: preliminary winding parameter;Step 3: process parameter calculation;Step 4: coil resistance and winding after outer diameter calculation;Step 5: calculation result output;Step 6: compare result correction parameter, the present application is aimed at servo valve coil enameled wire wire diameter, the number of turns is many, ordinary calculation method precision difference cannot directly guide the design, manufacture etc. of coil, innovatively proposed considering the method of ellipse correction perimeter according to coil cross winding condition, in combination with the setting of layer height, filling coefficient and other detailed parameters, solve the problem that accurate resistance, coil winding diameter etc. cannot be obtained by traditional slot width coefficient calculation method.The calculation method realizes the automatic calculation by software program, and the test of enameled wire meter resistance, outer diameter and coil winding resistance and outer diameter verifies the accuracy of the calculation method.

The invention relates to a distribution network engineering construction system and method cooperating with a terminal and a cloud, and the system comprises a project cooperation management module which is used for responding to an externally input design task, and a terminal creates a distribution network engineering project and generates a control instruction; the data acquisition module is used for receiving the control instruction, acquiring original data and returning the original data to the cloud server; the line layout module is used for receiving the original data to generate a preliminary line layout suggested path of the distribution network project; the project generation module is used for receiving the preliminary line layout suggested path, calling a cloud cost library to carry out cost calculation on the preliminary line layout suggested path, selecting the preliminary line layout suggested path corresponding to the lowest total cost, generating a project budget report of the distribution network project and uploading the project budget report to the cloud; and the cloud collaborative design module is used for receiving the project budget report for deepening design of the distribution network project, obtaining a final distribution network design scheme and transmitting the final distribution network design scheme to the terminal for output.

According to various embodiments, a data processing device is described which includes a processing circuit designed to execute a cryptographic algorithm comprising processing in a sequence of rounds, wherein the processing circuit comprises a processing pipeline with a sequence of processing stages, each round comprising processing through the processing pipeline, wherein the processing circuit further comprises an input designed to receive a state to be processed, and an input circuit designed to input the state as a first input to the processing circuit for the first round of the sequence of rounds, wherein the processing circuit is designed to process the first input successively in the rounds, and wherein it is designed toto successively process the first input in each round through the processing stages of the sequence of processing stages, to successively process a second input in the rounds, wherein the processing circuit in each round processes the second input through a different processing stage than the first input, and during each round, one or more of the rounds uses a processing result of the second input from a processing stage of the round and / or a processing result of the second input from a processing stage of the previous round to introduce randomness for processing the first input in the round, and / or during each round, one or more of the rounds uses the processing result of the second input of the round for comparison with a processing result of the first input of the round.

The application relates to the field of highway engineering digital management and artificial intelligence technology, and provides a highway engineering quantity-price integration cost preparation method and system based on AI enhancement. The method comprises the following steps: obtaining a design drawing to be processed; based on the AI multi-modal recognition capability, the input design drawing is processed, automatic extraction, calculation and cleaning are performed, and a multi-level engineering quantity combination dataset based on standard EBS classification and coding is formed; the engineering quantity combination dataset is automatically associated to the budget cost item, the list sub-item or the quota sub-item based on the rule engine, and the cost data of each stage is generated according to the different preparation depth and data category requirements of the cost of different stages; the data of each link from input to output is penetrated or traced back, and a quantity-price integration management framework is generated; when the design drawing changes, the related engineering quantity combination dataset and cost are updated based on the quantity-price integration management framework to generate standardized cost data and reports.

The invention discloses a skid-mounted product three-dimensional design system based on parametric modeling, which comprises a database module, a parameter input module and a modeling module, and is characterized in that a standard model is stored in the database module; the receiving module is used for receiving design parameters of cylindrical products; the modeling module comprises a modeling algorithm library and is used for supporting automatic pipeline trend generation based on the technological process, inputting size and pipeline grade, automatically identifying nozzle information and completing pipeline generation of fixed information according to a standard model in the database module according to input design parameters; and after the pipeline is generated, the pipeline and the pump are accurately modeled, and a control cabinet and an instrument of the integrated control system are integrated, so that the standard model is perfected. By establishing a unified standard model library and a parametric modeling engine, the system can quickly call and instantiate standard components according to design parameters input by a user, repeated manual modeling is avoided, and fundamental transformation from manual building block building to parameter-driven automation is achieved.

The invention is suitable for the field of hydraulic structure design of water conservancy and hydropower engineering, and provides a gravity dam economic section automatic design method and system based on an intelligent optimization algorithm, and the method comprises the steps: inputting design parameters, and initializing an algorithm population; performing stability calculation and constraint verification on each candidate section in the population; the candidate sections are evaluated through a preset fitness function, the function applies a great penalty value to the sections which do not meet the stability constraint, and the volumes of the sections which meet the constraint are directly used as fitness values; the population is iteratively evolved by using an intelligent optimization algorithm, and individuals with better fitness values are continuously screened out; and finally outputting an economic section which meets all safety constraints and has the minimum concrete volume. According to the method, a complex constrained engineering optimization problem is converted into an unconstrained optimization problem, automation and intellectualization of gravity dam section design are achieved, the design efficiency is greatly improved, and the engineering amount of a dam body can be remarkably reduced on the premise that safety is guaranteed.

1. Name of the product in this design: AI voice interaction module for intelligent agent interactive graphical user interface of electronic device. 2. Intended use of this design: for use in an electronic device. 3. The key design features of this product are its graphical user interface content. 4. The image or photograph that best illustrates the key design points: Design 1 change state diagram. 5. Design 1 is designated as the basic design. 6. Purpose of the Graphical User Interface: The overall purpose of the interface is to provide relevant services to overseas visitors to China; a partial purpose is to quickly launch the AI ​​agent function and conduct voice interaction; Design 1's main view is the interactive homepage. Clicking the circular agent button at the bottom of the interface jumps to the changed state diagram of Design 1, entering the AI ​​voice interaction and intelligent recommendation function interface. A welcome message is displayed at the top of the interface, and the content entries that the user may want to ask are displayed in the bubble dialog box; Design 2's main view is the overseas interactive homepage. Clicking the circular agent button at the bottom of the interface jumps to the changed state diagram of Design 2, entering the AI ​​voice interaction and intelligent recommendation function interface. A welcome message is displayed at the top of the interface, and the content entries that the user may want to ask are displayed in the bubble dialog box. When the user asks for a specific keyword, clicking the microphone button in the input box changes the interface to state 2 (Design 2), where the microphone button changes to a stop button, allowing the user to begin voice input. Design 3's main view is the interactive homepage. Clicking the circular "intelligent agent" button at the bottom of the interface redirects to state 1 (Design 3), entering the AI ​​voice interaction and intelligent recommendation function interface. A welcome message is displayed at the top of the interface, and a speech bubble shows the keywords the user might want to ask. Clicking the microphone button in the input box changes the interface to state 2 (Design 3), where the microphone button changes to a stop button, allowing the user to input voice. Design 3 then changes to state 3, with the speech input displayed in real-time in the speech bubble. Design 4's main view is the interactive homepage. On the next page, clicking the circular "Intelligent Agent" button at the bottom of the interface will redirect to the AI ​​voice interaction and intelligent recommendation function interface (Figure 1 in Design 4). A welcome message will appear at the top of the interface, and a bubble dialog box will display keywords the user might want to ask. Clicking the microphone button in the input box will redirect the interface to the stop button (Figure 2 in Design 4). The microphone button will change to a stop button. The user can then input voice information, and the interface will redirect to the next page (Figure 3 in Design 4). The voice input will be displayed in real-time in the dialog box. Clicking the stop button will stop recording, and the interface will redirect to the next page (Figure 4 in Design 4), where the stop button will change to a send button. The main view in Design 5 is the interactive homepage. Clicking the circular "Intelligent Agent" button at the bottom of the interface will redirect the interface to the next page (Figure 1 in Design 5). The AI ​​voice interaction and intelligent recommendation interface displays a welcome message at the top and a bubble dialog box showing keywords the user might want to ask. Clicking the microphone button in the input box changes the interface to state 2 in Design 5, where the microphone button becomes a stop button. The user then inputs voice data, and the interface changes to state 3 in Design 5, where the voice input is displayed in real-time in the dialog box. Clicking the stop button stops recording, and the interface changes to state 4 in Design 5, where the stop button becomes a send button. Clicking the send button changes the interface to state 5 in Design 5, where the voice input is displayed in the bubble dialog box at the top of the interface. In all the interfaces described above, "X" represents text or numbers, and dashed lines indicate content that does not require protection.

The invention relates to the technical field of parameterization design, and discloses a modeling method and device for a displacement helical gear, computer equipment and a storage medium, and the method comprises the steps: determining design parameters of the displacement helical gear; wherein the design parameters comprise basic process parameters and machining process parameters; in response to the modeling instruction, constructing a target helical gear structure based on the design parameters; wherein the target helical gear structure is a three-dimensional parameterization representation of the displacement helical gear, and the target helical gear structure comprises a target main body structure and a target tool retracting structure which are seamlessly connected. According to the method, the design parameter set containing the basic process parameters and the machining process parameters is determined firstly, then the target main body structure and the target tool retracting structure are constructed step by step in response to the modeling instruction, and parametric modeling of the displacement bevel gear is achieved. According to the modeling method, automatic forming in the whole process can be achieved only by inputting the design parameters, the dependence of the modeling process on artificial experience is reduced, and the design efficiency and the model precision are greatly improved.

This invention belongs to the field of computer program processing technology, specifically a dimension-driven design method based on two-dimensional CAD design software. It includes: Step (1) AutoCAD input commands or Winform is accessed via menu; Step (2) Necessary dimension values ​​and design conditions are input into Winform; Step (3) The program automatically inputs the information into Excel and automatically calculates the remaining dimension values ​​through a macro program; Step (4) AutoCAD draws a fixed topology graphic of the corresponding size based on the above dimension values; Step (5) When the drawn graphic needs modification, the dimension annotations on the graphic are directly modified. After modification, double-clicking the drawn lines completes the 1:1 graphic update. The effect of this invention is that once the fixed topology is designed using the above method, subsequent design and modification only require inputting design conditions and simplified related dimension values. Depending on the graphic complexity of the fixed topology, drawing and modification can be completed within 5 to 30 seconds, and the modified drawing scale remains 1:1.

The application provides a fast design model reconstruction method and system based on parameterized feature decoupling, and relates to the technical field of data processing. The method comprises the following steps: selecting a product template from a parameterized product template library constructed according to a feature decoupling concept; obtaining a new design scheme through a save-as operation based on the selected product template; determining a process selection calculation book through a project requirement based on the new design scheme, inputting main body parameters of the design scheme according to the process selection calculation book and saving to obtain a parameterized design scheme; and inputting parameters of key parts in sequence and saving according to a pre-defined part type in the product template based on the parameterized design scheme to obtain a complete parameter configuration. The application realizes the standardization and normalization of product design, and finally achieves the goal of shortening the development cycle and reducing the product cost.

The invention discloses a dynamic hostile attack-oriented multi-dimensional multi-agent system elastic cooperative control method, which relates to the technical field of multi-agent, and comprises the following steps of: constructing a communication relationship of a heterogeneous multi-agent system by utilizing a graph theory, and defining r-robustness of the heterogeneous multi-agent system to describe fault-tolerant capability; a discrete kinetic model of the matrix scale heterogeneous multi-autologous system is constructed, the kinetic model comprises a first-order autologous body and a second-order autologous body, and control input for the heterogeneous multi-autologous system is designed; designing a fault-tolerant algorithm based on a dynamic security core, collecting scale position information of neighbors in each round of information updating by each normal self-body, constructing the dynamic security core, calculating an auxiliary point based on the dynamic security core, and designing a controller based on the auxiliary point; and based on the upper limit of the number of dynamic malicious nodes in each round and the robustness parameter of the heterogeneous multi-agent system, calculating the value range of the sampling period and the control gain. According to the invention, the overall robustness and cooperative control performance of the system are enhanced.

The invention discloses a visual design element association mining generation method, and relates to the technical field of visual design element association, and the method comprises the steps: S1, extracting a visual unit in an input design sample; s2, when the distribution density meets a subdivision condition; s3, adjusting a semantic weight based on the semantic tag and the proportional relation to obtain a refined weight of each subunit; and S4, combining the semantic weight and / or the refined weight and the hierarchical information of the visual unit and / or the subunit, carrying out hierarchical processing on the generation demand, and outputting a structured design scheme. According to the visual design element association mining generation method, the semantic weight of the visual unit is quantified through the distribution density, the subunit weight is refined in combination with dominant and implicit semantic tags, the spatial distribution characteristics of the visual element are covered, the potential semantic association is mined, the problem that unified modeling of universal visual elements is insufficient in the prior art is solved, and the visual design element association mining generation method has high practicability. And the association mining better fits the design logic.

This invention relates to the field of integrated circuit design technology, and particularly to a solder ball management system and method. The solder ball management system includes: an information acquisition module for acquiring solder ball layers and port layers from an input design layout, wherein the port layer includes multiple ports; a solder ball creation module for creating solder balls on the solder ball layers based on a preset creation mode; and a solder ball connection module for connecting solder balls to the ports, and / or connecting solder balls from different solder ball layers. The solder ball management system of this application achieves automatic creation, arrangement, and connection of solder balls through the collaboration of multiple functional modules, solving the problems of low efficiency and yield in existing solder ball layout management.