64 results about "Computational design" patented technology

Programmatic extraction and management of solid and surface modeling parameters from raw 3D scan data is discussed. An automated process reads raw 3D scan data and works in communication with a CAD system able to perform CAD part modeling. The user is provided with an automatic function to segment a mesh model (formed from the raw 3D scan data) into dozens of mesh regions. A graphical user interface is provided which enables a user to choose a type of the design intent along with the mesh regions from which the design intent is calculated. Each design intent is represented in a vector, a plane or a poly-line depending upon the type of design intent. In response to a user demand for the parameters of a modeling feature, a best approximation of the requested parameter value is calculated by processing the raw 3D scan data using a set of functions.

Disclosed is an improved method, system, and computer program product for predicting and improving the integrity, manufacturability, reliability, and performance of an electronic circuit feature based on the stresses or strains of design features of electronic designs. Some embodiments identify the design, the concurrent model(s), design feature physical or electrical parameters or attributes, analyzes the stresses or strains to predict the integrity of the design and determines whether the design meets the design objectives or constraints. Some other embodiments make corrections to the designs or the processes based upon the determination of whether the design meets the design objectives or constraints. Some other embodiments compute the variations of the design features as a result of the stresses or strains and determine their impact on the subsequent processes.

A method and system generates a building design and a three-dimensional image thereof. First building information comprising a length, width, total height and wall height of a building is received via a first graphical user interface. If the length, width, total height, wall height, and a selectable building shape yield a valid set of building parameters, a design of said building is generated at a first software module, which is configured to generate the design, including wall portions and a roof portion, using minimum information consisting of the length, width, total height, wall height, and selectable building shape. A first image and a structural analysis of the design are generated. A second software module generates a second three-dimensional image of the building, which is different from the first image. A second graphical user interface permits a user to modify the second image to include predefined building elements.

The invention discloses a cascade reservoir group optimized dispatching multi-core parallel computing design method based on a Fork/Join framework. The method includes the following steps that 1, the Fork/Join parallel framework is established; 2, the Fork/Join parallel framework is achieved; 3, typical intelligent method parallel design in a coarse-grained mode is carried out; 4, typical dynamic planning method parallel design in a fine-grained mode is carried out. By means of PSCWAGA, PAHPSO, PDP and PDDDP method instance testing results, the Fork/Join multi-core parallel framework is adopted, the multi-core CPU parallel performance can be fully exerted, calculation time is greatly shortened, the calculation efficiency of the algorithm is remarkably improved, and the larger the calculation scale of the parallel method is, the shorter the calculation time is, and the more obvious the advantages of parallel calculation is. Along with gradual increase of the calculation scale, the speed-up ratio is gradually increased, the parallel efficiency is gradually improved, and the speed-up ratio is closer to an ideal speed-up ratio.

The invention provides a method and a device for evaluating marketing information design quality. The method comprises the steps: respectively and synchronously collecting brain waves and eye movementdata of all design information in to-be-tested marketing information browsed by a testee through four pieces of electroencephalogram measurement equipment and an eye tracker; determining design information gaze duration corresponding to the design information from the eye movement data; for each piece of design information, acquiring design information brain waves in the design information gaze duration; calculating the ratio of the design information gaze duration corresponding to the design information to the browsing duration of the marketing information to be tested to obtain the attention attraction degree; determining an emotion excitation degree according to alpha wave data contained in the design information brain waves, and determining an information transmission degree accordingto alpha wave data, theta wave data and beta wave data contained in the design information brain waves; based on the attention attraction degree, the emotion excitation degree and the information transmission degree, obtaining a design quality evaluation value of the marketing information to be tested. The evaluation accuracy of marketing information design quality can be improved.

The invention relates to a method for investigating no historical data small watershed through a flood frequency curve. The method comprises the following steps that: determining the boundary of a design drainage basin on a work map, selecting one or a plurality of design sections in the design drainage basin, and calculating drainage basin feature values including the area of each design section, a river length gradient and the like; using a rainfall contour line and a variation coefficient contour line to calculate the design storm of each design section in the drainage basin; adopting a reasoning formula method to investigate design flood according to the rainstorm of the design section, and calculating the flood of the design section; drawing the frequency calculation achievement point of each design section on Haisen frequency paper to obtain the flood frequency curve of each design section in the small watershed of a no-data area; and according to existing flood, checking a flood frequency curve, and determining the flood recurrence interval. By use of the method, a basis is provided for carrying out next computer programming, conveniently determining the design flood and determining the flood recurrence interval.

A method, system, apparatus, computer program product, and computer readable storage medium provide the ability to define an object in a parametric modeling application. Geometric parametric objects are authored and organized into a family definition. Via a user interface, enhanced computational logic is defined. The logic is compiled into the family definition such that the enhanced computational logic is embedded at an object level of the one or more geometric parametric objects. Upon a building information model requiring a regeneration operation, the compiled enhanced computational logic is automatically executed.

Described herein are polypeptides capable of self-assembling to form homo-oligomers, and methods for designing such polypeptides.

This invention discloses one city polluted water quality prediction method, which comprises the following steps: firstly researching and collection parameters composed of pollution water shop service area design entrance, citizen integral lift water volume, industry total product, citizen life water pollution parameters and underground water volume; then computing each year daily water pollution volume and continuing collection composed of the remove rate, service area manure rate and industry water pollution standard changes.

The present invention discloses an optimal design method for . The method comprises the following steps: S1. primarily selecting a design variable interval; S2. adjusting a design variable feasible region; S3. carrying out experimental design, and determining whether a to-be-analyzed problem is a problem with an accurate theoretical mathematical model, and if yes, directly executing step S5, or selecting an experimental design method according to a design variable attribute, a design variable quantity, a research purpose and a degree of difficulty in simulation/experiment; S4. constructing a function mapping relationship by means of an approximation model; S5. setting a confidence level or a conflict level; and S6. calculating an optimal interval of a design variable at the given confidence level. The optimal design method provided by the present invention is small in calculation amount, fast in speed and high in precision, can accurately solve linear and non-linear function interval mapping problems with constraints by means of an optimization policy to obtain an interval solution of the design variable, and has important practical value for performing error control of a multi-variable system and improving robustness of the system.

The present invention provides a method for setting photolithography system NA-Delta, the NA-Delta value of the photolithography system can be further optimized under the photolithography system NA-Delta value with large photolithographic process window for avoiding reducing the subsequent OPC efficiency by the large EPE. The exposed design pattern can be calculated according to the NA-Delta value OPC model based on the design pattern and the photolithography system by positioning a plurality of monitoring points on the design pattern of certain characteristic dimension, then the EPE of the exposed pattern corresponding to the a plurality of monitoring points of the design pattern, when the calculated EPE value is minimum, the corresponding photolithography system NA-Delta value can be taken as the photolithography system NA-Delta value when exposing the design pattern of certain characteristic dimension. The method can ensure that the large photolithographic process window is provided when exposing the design pattern of certain characteristic dimension, meanwhile, the complexity of the subsequent OPC distribution pattern can be reduced, the abnormal OPC data can be reduced, and the OPC efficiency can be improved.

The method(s) and system(s) for implementing extensibility of computational design and modelling of subject area on a computational platform in respect of a new subject in a subject area through a modelling schema includes populating the new subject in the model repository as data elements corresponding to the domain entity model of the domain entity meta model. The method includes generating a subject integration layer and a subject information interaction layer from the populated subject data elements and generating GUI screens for user interactions from the populated subject data elements. The method, further, includes integrating user determined external simulation tools with the computational platform by mapping the user determined external simulation tool parameters to the subject data elements. Subsequently, the method includes generating simulation tool adapters from said mapping to achieve said integration.

The invention relates to a home decoration material use amount list generation method and system based on BIM software. The method includes the steps that a home decoration material list is generated according to processes adopted in a model established by the BIM software and materials adopted in the processes; the use amount of each material adopted in the model is calculated according to the computational logic of each material in the home decoration material list, and a home decoration material use amount list is generated. In the home decoration material use amount list generation method and system based on the BIM software, secondary development of the BIM software is conducted based on the BIM technology, deep application of the BIM technology in the home decoration field is achieved, the use amount of each kind of material used in a design scheme is precisely calculated on the premise of rapidly realizing the home decoration design and automatically calculating the work amount by the system, material waste is avoided, and the home decoration cost is reduced.

The invention discloses a calculation design system and method for organic luminescent materials. The system comprises a client side and a server side. The method comprises the steps of sending molecular information of a to-be-mined organic luminescent material input by a user to the server side by the client side and carrying out calculation analysis; returning a calculation analysis result to the client side by the server side; receiving the calculation analysis result and displaying the result to the user by the client side; and receiving a user feedback result sent by the client side and generating a molecular performance calculating/collecting report by the server side according to the calculation analysis result and the user feedback result. The system has the advantages that the photophysical properties and the molecular structure performance relationships of the organic luminescent materials can be efficiently calculated; the development efficiency of the organic luminescent materials is effectively improved; and the system has a broad application prospect and can also be popularized to the screening design of other various functional materials.

The invention discloses a simplified weighted repeat pseudo-median filtering method with negative coefficients. The method comprises the following steps: taking the frequency response characteristics of an approximation same-order finite impulse response (FIR) filter as an objective, designing weighting coefficients containing negative numbers for weighted pseudo-median computation of filtering window data by an MALLOWS comprehensive method, adjusting the window data by the weighting coefficients; simultaneously, computing weighting coefficients based on the slopes of a group of special structures designed for the filter, computing the overall slope of the window data repeatedly by the weighted pseudo median, carrying out linear transformation on the window data by the slope; and finally carrying out weighted computation on the transformed data by the pseudo-median weighting coefficients to obtain the output value of weighted repeat pseudo-median filtering. The method realizes a better frequency selection characteristic than that of the existing negative coefficient weighted median or pseudo-median filtering method, and simplifies computation in the algorithm to meet the requirement of systems with finite resources, such as a wireless sensor and the like for low power consumption.

The invention discloses a hub driving system all-in-one integration optimization design method. According to the technical scheme, the method comprises the steps of defining a design domain and an initialized design variable; by utilizing a multi-field coupling analysis platform, calculating a multi-field coupling characteristic of the design domain; calculating an optimization objective functionand a constraint condition; judging whether a result is converged or not; if the result is converged, outputting the result; performing structure fine adjustment by considering machinability and manufacturability, and re-performing multi-field coupling calculation; if the result is not converged, performing topology optimization of subsystems of the design domain in a subsystem optimization layer;performing system level coordinative optimization on optimal solutions of the subsystems to obtain system level optimal solutions; and performing design variable update by taking the obtained systemlevel optimal solutions as initial values of optimization iteration, and performing a new round of a multi-field coupling calculation iteration process, until a global optimal solution is obtained. The method disclosed by the invention can better solve the problems of conflict of power density and cooling constraints restricting the development of hub driven electric vehicles, smoothness and comfort deterioration and the like at present.

The invention discloses a delay and energy consumption joint optimization MEC computing unloading method, and aims to solve the problems that in computing unloading of multiple users to multiple servers of an MEC, server resources are scrambled by unloading requests of the users, optimal unloading occurs, the effective utilization rate of the resources is low, the unloading service quality is poor and the like. According to the method, delay and energy consumption serve as constraints, an unloading cost evaluation model is constructed and calculated, in order to determine an unloading target, a server selection operator is designed, a server meeting task response delay is preferentially selected to execute unloading calculation, and an improved difference algorithm with response delay, energy consumption and server load serving as fitness functions is designed; an unloading decision with a low adaptive value is searched, and low-overhead and load-balanced efficient calculation unloading is realized; simulation experiments prove that the method reduces the delay and energy consumption of the mobile edge computing network, improves the task satisfaction response delay rate, balances the load of the server, and improves the user satisfaction, energy consumption efficiency and stability of the mobile edge computing system.

Disclosed herein are methods, processes, and computer programs related to the design of ribozymes.

A method of actively managing software design decisions including identifying design model elements from a given requirements model, computing a design model element type for each of the design model elements, accessing reference architecture to locate one or more decision templates, confirming that a scope of the decision template is applicable to the design model element type, and if the scope of the decision template is applicable to the design model element type, generating decision instances based on the decision template to be applied to the design model element.

The invention provides a method for determining a metamaterial unit structure having a maximum bandwidth characteristic. The method comprises the steps of: defining a design variable, setting the initial value and threshold value of the design variable, calculating the fitness of the design variable, estimating the probability of passing individuals genetically to the next generation, and carrying out crossing, mutation, judgment and other operations to determine the metamaterial unit structure having the maximum bandwidth characteristic. The method provided in the invention makes use of an improved genetic algorithm to conduct optimization selection on the initial value and conducts dynamic change on mutation probability, thus improving convergence of optimization methods and better obtaining a globally optimal solution. Thus, a locally optimal solution is avoided.