30 results about "Computer modelling" patented technology

The invention belongs to the technical field of crossing of rock soil, geological engineering and computer modeling, and discloses a three-dimensional fractured rock anisotropic fragmentation and expansion structure generation method and system, and the method comprises the following steps: generating tightly embedded initial blocks in an expansion domain according to the number of control blocks and the initial equivalent size of the blocks; on the basis of the node information of the initial block, anisotropic fragmentation and expansion mapping geometric transformation is carried out on the cell elements, and node coordinate information after fragmentation and expansion and form control is carried out is obtained; calculating the volume ratio of blocks in the target area to obtain a current volume fraction; extracting a target domain in the extended domain, performing constraint smoothing, abandoning an external block, and retaining node coordinate information in the target domain; and exporting the reserved node coordinate information, the current volume fraction and the geometric structure to obtain the fragmentation and expansion structure.

System and methods for computer modeling in medicine. A sort of period table of medical models is described for personalized diagnostics, prognostics and therapeutics, including at least 80 major categories of medical models. Generative artificial intelligence and geometric deep learning techniques, and algorithms including 2D and 3D graph machine learning and GenAI algorithms, are described, tailored and applied to diagnostic disease description, prognostic prediction and therapeutic development and management, including generation of novel synthetic drugs. The AI and machine learning techniques and algorithms are applied to understand each individual's genetic, RNA and protein anomalies that represent the source of many unique patient diseases. AI-enabled software agents assist physicians and researchers in building patient medical models. Several personalized medicine applications of individualized medical modeling include cardiovascular

Methods and systems are presented for providing a framework that configures a machine learning model to be insensitive to changes in input features. A computer modeling system determines data sources from which attribute values associated with transactions can be obtained. Instead of configuring the machine learning model to accept the attribute values as inputs, the computer modeling system may configure the machine learning model to accept a vector representation in a multi-dimensional space as input values. The computer modeling system then generates an encoder for each data source. Each encoder is configured to encode attribute values from a corresponding data source to a representation representing the attribute values. Further, each encoder is trained to minimize a variance between outputs of the different encoders. The computer modeling system determines a vector representation based on the representations generated by the encoders and provide the vector representation to the machine learning model.

Compositions of peptides modified to enhance HLA binding or T cell recognition while preserving reactivity to target neoepitopes enhance the activation of neoantigen-specific T cells. The method of use involves treating cancer by administering one or more of these peptides, which are produced by computer modeling.

The application relates to the technical field of computer 3D modeling, and discloses a city three-dimensional terrain rapid modeling method and system based on AI point cloud semantic segmentation. According to city terrain semantic point cloud fusion preprocessing data set and in cooperation with a point cloud three-dimensional modeling platform, high-quality three-dimensional modeling of feature objects in a target city terrain is carried out, and precise modeling under a city terrain limited point cloud data state is realized based on semantic segmentation and point cloud fusion. Through the point cloud three-dimensional modeling platform and screenshot software, city terrain three-dimensional model image information is accurately collected, and intelligent identification of city terrain three-dimensional model modeling defects is carried out in combination with AI algorithms and city terrain feature object standard modeling defect image data. Based on city terrain three-dimensional model data and in cooperation with the point cloud three-dimensional modeling platform, dynamic and efficient repair and reconstruction processing of city terrain three-dimensional model modeling defects is carried out, and precise modeling and repair and reconstruction under a city terrain limited point cloud data state are realized based on model repair.

Computer-based system, method and apparatus aggregating data of equity and debt securities, and investment portfolios, to benefit multiple investment companies (ICs) with complementary objectives by transforming an investment portfolio into a source of significantly more returns for each investor IC's objectives by apportioning unequally the portfolio's benefits, risks and obligations to each IC invested in the portfolio. Components include a securities data aggregation computer (SDAC), a portfolio data aggregation computer (PDAC), a portfolio comparison computer (PCC), a Portfolio Modeling Computer (PMC), a computer modeling and displaying ways to optimize the benefits and obligations of the portfolio (CDBO). Computers use investment characteristics to dynamically display the portfolios and combinations of portfolios, to model alternative portfolios to serve the complementary objectives of each IC. An embodiment of the invention unites, in the creation and management of a single portfolio, two or more ICs with complementary objectives.

The invention provides a special-shaped plate stamping die reset process simulation method and system combined with data modeling, and relates to the technical field of computer modeling. Firstly, a special-shaped plate reset dynamic topology model is constructed based on special-shaped plate three-dimensional shape data and die reset component motion feature data; associating the contact area with the acting force transmission path through the topological node; then, shape deformation data and mold reset force real-time data in the reset process are collected to generate a shape force coupling data chain; inputting the morphological force coupling data chain into a special-shaped plate reset dynamic topology model to drive topology nodes to dynamically recombine and generate topology recombination data; generating dynamic adaptive reset path data based on the topology recombination data; and finally, reversely inputting the dynamic adaptive reset path data into the special-shaped plate reset dynamic topology model for iterative optimization, and generating simulation complete data. According to the invention, the reset process of the special-shaped plate stamping die can be accurately simulated, and the simulation accuracy and reliability are improved.

Methods, systems, and devices (including media encoded computer program products) for computer-aided design and manufacturing of physical structures by generating a prismatic CAD model using machine learning include obtaining an input embedding encoding a representation of a target two-dimensional (2D) shape; processing the input embedding using a 2D decoder of a 2D autoencoder to obtain a decoded representation of the target 2D shape; determining a fitted 2D parametric sketch model for the input embedding, including finding a 2D parametric sketch model for the input embedding using a search in an embedding space of the 2D autoencoder and a database of sketch models associated with the 2D autoencoder, and fitting the 2D parametric sketch model to the decoded representation of the target 2D shape; and using the fitted 2D parametric sketch model in a computer modeling program.

Provided is a modified peptide composition which is modified to enhance HLA binding or T cell recognition and improve activation of neoantigen-specific T cells while preserving reactivity to a target neoepitope. Methods of use include the treatment of cancer by administering one or more of these peptides generated by computer modeling.

Video compression method and apparatus wherein a scene image is captured and compared to an expected scene image that was generated based on a computer-modeled scene and wherein the difference data – if any exists, is transmitted and / or stored, thereby reducing the requisite bandwidth and / or storage space. Optionally, difference data that is considered unimportant can be ignored or otherwise omitted from transmission and / or storage. Embodiments of the present invention can replicate all or a portion of real-world camera or other sensor and scene characteristics, preferably using predictive modeling and adaptive analysis, to efficiently encode and transmit video data. Embodiments of the invention thus encompass methods for scene reconstruction, object tracking, parameter updating, and / or bandwidth-adaptive streaming, with particular applications in space-based imaging and video processing.

The present application relates to the technical field of computer modeling, and particularly relates to a three-dimensional geological model automatic generation method, system and electronic equipment, the method comprises the following steps: obtaining three-dimensional geological modeling requirement data and modeling data input by a user, and processing the modeling data; generating a modeling instruction stream through a large model after reinforcement learning, and performing feasibility verification on the generated modeling instruction stream; if the verification result is feasible, the modeling instruction stream is sent to a three-dimensional geological modeling software to generate a three-dimensional geological model; obtaining feedback information of a modeling expert adjusting the three-dimensional geological model and diagnosing and analyzing the modeling instruction stream generated by the large model, and storing the feedback information in a knowledge base; if the verification result is unfeasible, problem matching is performed in the knowledge base, and the result is input to the large model, after analysis, a modeling instruction stream is regenerated to drive the three-dimensional modeling software to model; thus, the present application can automatically generate a three-dimensional geological model.

At least one processor configured to perform operations including receiving data from a plurality of disparate data sources, the data including a plurality of variables associated a plurality of entities and characteristics of the entities; extracting one or more associations from the data, wherein each of the one or more associations includes one or more probabilistic distributions based on a relationship between the performance metrics and the entities and their positions; generating, based on the associations, a flight index for each of the entities; wherein the flight index is a statistical measure of a likelihood that an entity will leave the organization; generating a performance index to each of the entities; identifying, based on a comparison between the flight index and the performance index, a flight probability the entities being higher than a threshold flight probability; implementing, based on the identification, policy changes in the organization.

This application provides a method for preparing personalized skincare products based on quantitative biology, characterized by the following steps: Step S10, collecting user skin data and environmental characteristics to form phenomenon data; Step S20, using computer modeling, intelligently combining and matching the phenomenon data with pre-stored product data including the formulation activity and effects of each ingredient, as well as pre-stored result data including historical feedback and closed-loop optimization, to obtain a combined formula; Step S30, preparing skincare products using the combined formula and providing them to the user.

At least one processor configured to perform operations including receiving data from a plurality of disparate data sources, the data including a plurality of variables associated a plurality of entities and characteristics of the entities; extracting one or more associations from the data, wherein each of the one or more associations includes one or more probabilistic distributions based on a relationship between the performance metrics and the entities and their positions; generating, based on the associations, a flight index for each of the entities; wherein the flight index is a statistical measure of a likelihood that an entity will leave the organization; generating a performance index to each of the entities; identifying, based on a comparison between the flight index and the performance index, a flight probability the entities being higher than a threshold flight probability; implementing, based on the identification, policy changes in the organization.

The invention relates to the technical field of computer modeling and simulation, and discloses an intelligent manufacturing equipment time event hybrid modeling and simulation method and system, and the method comprises the steps: packaging intelligent manufacturing equipment into a module with a port, and triggering the execution of a behavior function bound with the intelligent manufacturing equipment through an input signal event on the port; the existing component model is reused during intelligent manufacturing equipment modeling, and interaction between top-layer equipment and an internal component model is achieved through port communication or function calling; model instantiation: instantiating the intelligent manufacturing equipment model into one or more instances; defining simulation configuration, and determining simulation step length, simulation duration, simulation speed and event injection information according to simulation task configuration description; and running a simulation task, calling a simulation algorithm to execute simulation, traversing a processing time event and a set time event, and driving a simulation process to be executed as expected. The method can be used for but not limited to business scenes such as intelligent factory production line planning, digital twin factory construction, warehouse logistics optimization scheduling and the like.

The invention relates to the technical field of computer modeling analysis, and particularly discloses a power transformation equipment multi-physics field real-time modeling method and system based on digital twinning, and the method comprises the steps: obtaining the real-time operation data of the power transformation equipment, and the real-time operation data comprises the real-time power grid side data; loading a digital twinborn model of the power transformation equipment, wherein the digital twinborn model comprises an electromagnetic field model, a thermal field model and a structural field model; a first physical field calculation is performed. According to the invention, steady-state and transient-state working conditions can be intelligently identified, a high-precision hysteresis model is switched in a self-adaptive manner, and the influence of residual magnetism is taken into account, so that internal physical behaviors of equipment under extreme events such as closing inrush current and the like are accurately reproduced; according to the scheme, not only is accurate internal state perspective provided, but also a reliable decision basis is provided for dynamic capacity increase evaluation and residual service life prediction of equipment based on the key health index of the drift trend of the model parameters.

The invention relates to an Intelligent Maneuvering System for Easier Boat Handling, which is an accessory for boating and boat maneuvering. This system enables easy and precise boat maneuvering based on actual measurements, computer modeling, and mathematics, according to the control values provided by a Joystick or a mobile phone App. It allows the boat to be maneuvered in the desired heading with the required force and rotation around its vertical axis. This significantly enhances the boat's maneuverability and truly enables agile movement of the boat in the desired manner.The system consists of three propulsion propeller drives, one of which may be the original bow thruster of the boat. Propeller drives are installed in the boat with an angular offset about 120 degrees, in which case the reference values for their six infinitely adjustable force vectors are calculated by the microcomputer to achieve the desired maneuvering effect.Using the maneuvering system's calculation software and the thrust forces of the infinitely adjustable motor drives, the boat can be rotated in place, driven in any arbitrary direction while keeping the bow heading unchanged, or rotated during linear motion.On the boat (FIG. 2), (1) three propeller drives (3) and (5) are installed, whose rev is controlled by the motor controller (23) or the hydraulic system valve (24). The Joystick (28) steering values are converted into thrust control commands for each motor controller in the maneuvering mathematics calculation.The content of the patent claims specifies a propulsion system implemented with three motor drives (3) and (5) arranged 120° apart, where the power of each motor drive (3) and (5) is controlled individually according to the maneuvering command given by the Joystick (28) based on the vector mathematics calculations performed by the control system's software taking into account the actual installing locations and dimensions of propeller drives relative to the COB as well as the effects of changes in hydrodynamic resistance when maneuvering in different directions, as determined by CFD calculations.

Systems and methods for minimally invasive ortho-restorative treatment planning. One or more clinical and / or aesthetic aspects of an ortho-restorative treatment plan may be optimized. In some examples, the ortho-restorative treatment plan is optimized to minimize a tooth mass loss associated with adding or implementing a restorative feature in the ortho-restorative treatment plan. Examples of restorative features may include crowns, veneers, fillings, inlays, onlays, edge bonding, composites, implants, bridges and prosthetics. The methods may include computer modeling techniques. For example, a position of a digital restorative feature model may be optimized with respect to a digital tooth model of a patient's teeth to minimized tooth mass loss in the patient's teeth.

The invention relates to the technical field of computer modeling, in particular to a three-dimensional geologic model automatic generation method and system and electronic equipment, and the method comprises the steps: obtaining three-dimensional geologic modeling demand data and modeling data input by a user, and processing the modeling data; generating a modeling instruction stream through the large model after reinforcement learning, and performing feasibility verification on the generated modeling instruction stream; if the verification result is feasible, issuing the modeling instruction stream to three-dimensional geologic modeling software to generate a three-dimensional geologic model; feedback information generated when a modeling expert adjusts the three-dimensional geologic model and diagnoses and analyzes a modeling instruction stream generated by the large model is obtained, and the feedback information is stored in a knowledge base; if the verification result is infeasible, performing problem matching in the knowledge base, inputting the result into the large model, and after analysis, regenerating a modeling instruction stream to drive the three-dimensional modeling software to perform modeling; therefore, the three-dimensional geologic model can be automatically generated.

Systems and methods for minimally invasive ortho-restorative treatment planning. One or more clinical and / or aesthetic aspects of an ortho-restorative treatment plan may be optimized. In some examples, the ortho-restorative treatment plan is optimized to minimize a tooth mass loss associated with adding or implementing a restorative feature in the ortho-restorative treatment plan. Examples of restorative features may include crowns, veneers, fillings, inlays, onlays, edge bonding, composites, implants, bridges and prosthetics. The methods may include computer modeling techniques. For example, a position of a digital restorative feature model may be optimized with respect to a digital tooth model of a patient's teeth to minimized tooth mass loss in the patient's teeth.

The invention relates to the technical field of computer modeling and simulation, and particularly discloses a multi-level modeling and simulation method for a complex manufacturing system based on a knowledge model. The method comprises the following steps: acquiring a knowledge model dictionary and element definition, executing term de-duplication, synonymous merging, multi-scale labeling and cross-domain mapping, and generating a knowledge model hooking structure with version registration; configuration control selection, semantic analysis, rule loading and mode matching are carried out based on the structure, consistency checking and gap completion are completed, and a configuration modeling integrated structure is obtained; carrying out parameter binding, data source mapping and twin software framework assembly on the basis, and generating a model instantiation package; and then through simulation engine adaptation, running script generation and closed-loop running, a closed-loop update package structure is formed. According to the method, knowledge model driven multi-level system modeling and simulation integration can be realized, the model construction efficiency and semantic consistency are improved, and multi-domain coupling simulation and dynamic iterative optimization of a complex manufacturing system are supported.

At least one processor configured to perform operations including receiving data from a plurality of disparate data sources, the data including a plurality of variables associated a plurality of entities and characteristics of the entities; extracting one or more associations from the data, wherein each of the one or more associations includes one or more probabilistic distributions based on a relationship between the performance metrics and the entities and their positions; generating, based on the associations, a flight index for each of the entities; wherein the flight index is a statistical measure of a likelihood that an entity will leave the organization; generating a performance index to each of the entities; identifying, based on a comparison between the flight index and the performance index, a flight probability the entities being higher than a threshold flight probability; implementing, based on the identification, policy changes in the organization.

This invention provides a method for producing all-glass passivated diodes, comprising the following steps: (I) Preparation: (a) Chip preparation; (b) Raw material preparation; (c) Software preparation: Presetting laser parameters and raw material parameters, using computer-aided design (CAD) technology with computer modeling software to complete the preset information for laser sintering according to different diode design requirements, and transmitting the preset information to the semiconductor laser; (II) Uniform powder spreading; (III) Laser sintering; (IV) Recycling; (V) Removal of adhesive residue. The all-glass passivated diode production method of this invention uses laser forming technology to prepare the glass seal of the diode PN junction, precisely controls the diode glass sintering, completes the full seal of the diode PN junction in a single step, and eliminates potential sources of failure. This invention also provides an all-glass passivated diode produced using the aforementioned all-glass passivated diode production method.

Embodiments provide for improved computer modeling are provided. A three-dimensional (3D) base mesh corresponding to at least a portion of a character and a 3D feature mesh corresponding to a feature of the character is accessed. One or more portions of the 3D feature mesh are deformed using surface projection based on an overlapping region for the 3D base mesh and the 3D feature mesh to generate a first modified 3D feature mesh. At least one of a texture or normals of the first modified 3D feature mesh is modified based on at least one of a texture or normals of the 3D base mesh to generate a textured 3D feature mesh. An image is rendered based on the 3D base mesh and the textured 3D feature mesh.

This invention relates to the field of computer modeling technology in architectural engineering, and discloses a method and system for parsing IFC components based on multithreading and Trie trees. The method includes: initializing an IfcParseThread multithreaded parser and constructing a Trie tree matching index during the initialization process; creating concurrent parsing threads within the initialized IfcParseThread multithreaded parser to identify component entities in the IFC file; performing geometric information processing on the component entities within the initialized IfcParseThread multithreaded parser based on the unique type identifier determined by the Trie tree matching index; and instantiating and associating the geometric information processing results with the attribute set of the component entities, outputting a JSON description file of the component instance. This invention can improve the overall parsing efficiency of IFC components.

The invention discloses an agricultural water-nitrogen coordinated regulation and control system and method, and relates to the technical field of agricultural intelligent management and computer modeling optimization. According to the method, an APSIM model simulates a crop growth process according to a parameter combination generated in a predefined water nitrogen input space through Latin hypercube sampling, and outputs N2O emission and crop yield related data; training an agent model based on the crop growth related data of the sample region and the simulation parameter combination; inputting the crop growth related data of the target area into a prediction model to predict a corresponding target, and obtaining a crop model parameter combination initial value; taking the minimum difference value between the output parameter of the crop model and the measured parameter of the target area as the target, quickly searching a Pareto optimal solution set by using an improved MOGWO algorithm, and outputting the optimal water-nitrogen ratio through a visual interaction interface. According to the method, the optimal scheme is quickly screened out through the convenient and efficient optimization searching capability, and scientific, efficient and personalized agricultural water and nitrogen resource management is realized.

The application belongs to the technical field of computer modeling and simulation, and discloses a multi-resolution radar modeling and simulation method and system based on AFSIM, which registers and builds a pluggable multi-resolution radar framework through a plug-in registration interface in an application extension mode, embeds a communication interface protocol to realize bidirectional interaction with an external high-resolution radar, embeds an AFSIM communication mechanism to realize bidirectional interaction with an embedded low-resolution model, adds a script language adaptation layer to support runtime dynamic parameter configuration and resolution switching, compiles the plug-in into a dynamic link library and places it in an AFSIM scanning directory to realize automatic loading and scheduling, so as to build a plug-and-play multi-resolution radar architecture model. The application builds a plug-and-play multi-resolution radar architecture model, provides a technical basis for high / low dual-resolution joint simulation, and provides a general method and reference for building a sensor simulation architecture with multi-resolution switching capability.

The present application relates to the air defense missile weapon system countermeasure function level simulation verification method and device, this method, it includes: the war environment is built, sets up the simulation parameter;According to the simulation parameter, executes simulation and calculates simulation data, to obtain data information;Data information is displayed and data information is collected;Judge whether the simulation is completed;If the simulation is completed, the collected data information is uploaded to the simulation result database;The simulation result database outputs the simulation verification report.The present application simulates the real combat environment by computer modeling and simulation technology, and carries out test design planning, deduction and evaluation based on the test evaluation of the anti-interference ability of the air defense missile weapon system in the complex electromagnetic environment, provides a tool platform for the performance and efficiency evaluation of the air defense missile weapon system, has higher fault tolerance, can carry out repeated test, has short test cycle and high efficiency.

The application relates to the technical field of computer modeling, and more particularly to an anti-seismic disaster mitigation simulation system for liquefiable ground. The system comprises a cyclic stress ratio field analysis unit, an excess pore water pressure ratio evolution analysis unit and a stress coupling correction unit. The cyclic stress ratio field analysis unit is used for generating a cyclic stress ratio field by using a depth reduction relationship. The excess pore water pressure ratio evolution analysis unit is used for deducing an excess pore water pressure ratio and establishing an evolution relationship of the excess pore water pressure ratio with time and depth. The stress coupling correction unit is used for updating an effective vertical stress value based on the excess pore water pressure ratio and synchronously correcting a shear modulus according to a coupling relationship of a shear wave velocity and the excess pore water pressure ratio, and feeding back the corrected shear modulus to the excess pore water pressure ratio evolution analysis unit. The application effectively improves the scientificity and engineering applicability of the anti-seismic disaster mitigation of the liquefiable ground.