1536 results about "Model simulation" patented technology

A method of designing an integrated circuit is provided in which the design layout is optimized using a process model until the design constraints are satisfied by the image contours simulated by the process model. The process model used in the design phase need not be as accurate as the lithographic model used in preparing the lithographic mask layout during data prep. The resulting image contours are then included with the modified, optimized design layout to the data prep process, in which the mask layout is optimized using the lithographic process model, for example, including RET and OPC. The mask layout optimization matches the images simulated by the lithographic process model with the image contours generated during the design phase, which ensures that the design and manufacturability constraints specified by the designer are satisfied by the optimized mask layout.

A system improves the design of artificial implant components for use in joint replacement surgeries. The system includes an anthropometric static image data analyzer, an implant model data generator, a kinematic model simulator, and a dynamic response data analyzer. The implant model data generator may also use image data of a joint in motion for modification of the implant model data used in the kinematic simulation. Dynamic response data generated by the kinematic model simulation is analyzed by the dynamic response data analyzer to generate differential data that may be used to further refine the implant model data.

System, method and computer product for performing automated predictive reliability. A data acquisition component acquires service data for a complex system from a data repository. A statistical analysis component generates a statistical model for the service data. A simulation component predicts the reliability of the complex system according to the statistical model. An alert generation component generates alerts when predicted failures determined by the simulation component exceed predetermined alert criteria. A report generation component generates a summary of the analysis performed in the data acquisition, statistical analysis and alert generation components.

Agent-based models (ABMs)/multi-agent systems (MASs) are one of the most widely used modeling-simulation-analysis approaches for understanding the dynamical behavior of complex systems. These models can be often characterized by several parameters with nonlinear interactions which together determine the global system dynamics, usually measured by different conflicting criteria. One problem that can emerge is that of tuning the controllable system parameters at the local level, in order to reach some desirable global behavior. According to one exemplary embodiment t of the present invention, the tuning of an ABM for emergency response planning can be cast as a multi-objective optimization problem (MOOP). Further, the use of multi-objective evolutionary algorithms (MOEAs) and procedures for exploration and optimization of the resultant search space can be utilized. It is possible to employ conventional MOEAs, e.g., the Nondominated Sorting Genetic Algorithm II (NSGA-II) and the Pareto Archived Evolution Strategy (PAES), and their performance can be tested for different pairs of objectives for plan evaluation. In the experimental results, the approximate Pareto front of the non-dominated solutions is effectively obtained. Further, a conflict between the proposed objectives can be seen. Additional robustness analysis may be performed to assist policy-makers in selecting a plan according to higher-level information or criteria which is likely not present in the original problem description.

A business-to-business application service provider includes an Internet website and webserver with EDA-on-demand solutions for system-on-a-chip designers. Such website allows electronic designs in hardware description language to be uploaded into a front-end EDA design environment. A behavioral model simulation tool hosted privately on the webserver tests and validates the design. Such tool executes only in the secure environment of the business-to-business application service provider. The validated solution is then downloaded back over the Internet for a pay-per-use fee to the customer, and in a form ready to be placed and routed by a back-end EDA tool. Such validated design solutions are also downloadable to others in exchange for other designs, or available in technology libraries. The intellectual property created can be re-used, sold, shared, exchanged, and otherwise distributed efficiently and easily from a central for-profit clearinghouse.

A high-speed multicore model simulator is realized. A multicore model simulator having a plurality of threads, and a plurality of core models executing the aforesaid plurality of threads is provided. The plurality of core models are a plurality of processor core models, each of which executes one thread, and they are synchronized with each other every predetermined number of execution instructions of each thread.

A user interface design and evaluation system and a hand-interaction-based user interface design and evaluation system are provided. The user interface design and evaluation system includes: a user interface design unit, a human model interaction design unit, a user interface prototype simulation unit, a human model simulation unit, and a user interface evaluation unit. In order to develop a user interface in consideration of usability of a user, the system provides a usability evaluation feedback system performing optimization of an interface design based on a motion simulation of a body model and user interface model. Through this, an optimum interface design is derived and by reducing the initial usage difficulty of the new interface for a user, the user can easily use the new interface and work performance of the user can be enhanced. In addition, by supporting fast prototyping and evaluation in a new product development stage, efficient production of a product having a short life cycle can be actively implemented.

The invention discloses a modeling method for a third generation pressurized water reactor nuclear power generating unit. The modeling method comprises the following steps of: 1, decomposing a nuclear power generating unit system into a plurality of subsystem models; 2, establishing the subsystem models in the step 1 according to heat engineering and energy transfer and conversion rules; 3, combining the subsystem models obtained in the step 2 into a nuclear power generating unit full system model, and connecting the nuclear power generating unit full system model with a power system model toobtain a combined model of a nuclear power generating unit and the power system; and 4, establishing a customized model of the third generation pressurized water reactor nuclear power generating uniton the basis of the combined model of the nuclear power generating unit and the power system, and simulating the performance of the nuclear power generating unit and machine-grid interaction according to the customized model. The method effectively solves combined emulation of the nuclear power generating unit and a power unit, can be applied to machine-grid coordination analysis of a nuclear power plant and a power grid, and has high practicability.

The invention relates to a quick chemical leakage predicating and warning emergency response decision-making method which combines diffusion model simulation with a neural network and a gas sensor system and is applied to quick warning and aid decision making of leakage of harmful gas in an industrial park. The method includes park risk factor identification, numerical simulation, data screening, neural network training and sensor system and neural network model integration, wherein the park risk factor identification is used for identifying various possible leakage accidents, the numerical simulation includes simulating all the possible accidents to obtain a range of influences of the harmful gas, the data screening includes extracting and reconstructing an effective part in a numerical simulation result according to actual sensor layout, the neural network training includes training specific neural network models by the aid of screened data so as to acquire model parameters aiming for the specific industrial park and surrounding conditions and using redundant data for parameter validation, and sensor system and neural network model integration includes combining the models with a sensor DCS (distributed control system).

A system and method for analyzing timing and noise effects in a hybrid circuit which contains a plurality of electrical components. The timing and noise effects for the hybrid circuit are generated by simulating electrical conditions within a hybrid circuit model. The hybrid circuit model is constructed by creating and integrating analog and behavioral models from the plurality of electrical components. The timing and noise effects remain accurate even at high printed circuit board/multi-chip module clock speeds, thereby ensuring that a user is able to construct an optimal design for any one of the plurality of electrical components.

A method and apparatus for simulating the functioning of various configurations of fabrication and test equipment within a manufacturing line creates a schedule for dispatching of the production lots to the manufacturing line. Based on the product mix forecast, the product volume forecast, the predicted sales schedule, the sales confidence, the actual sales order descriptions, and the product delivery schedule, a potential product dispatch schedule is established that enables a product to be fabricated within the manufacturing line. An equipment dispatch schedule for equipment employed in fabrication and testing of the product to be fabricated is defined according to the product dispatch schedule. The potential product dispatch schedule is then simulated based on the process and test equipment model. Upon completion of the simulation, the potential product dispatch schedule is assessed for optimization.

The invention relates to a fully-three-dimensional simulated visualized displacement simulation experiment system of a fractured-vuggy oil reservoir. The fully-three-dimensional simulated visualized displacement simulation experiment system comprises trough, fractured-vuggy model, water injection, air injection, image acquisition and data acquisition simulation unit, a simulation oil groove and a three-phase separator. The trough simulation unit comprises a cubic trough, a glass pipe and a shaft. The fractured-vuggy model simulation unit comprises a cavern model and a crack model. The water injection simulation unit comprises a water injection tank and a water pump. The air injection simulation unit comprises an air compressor, an air storage tank, an emptying valve, a water draining filter and an air dryer. A particle forming test module of the image acquisition simulation unit is arranged on a sliding rod and installed on a support through the sliding rod. A pressure variator of the data acquisition simulation unit is installed at the connecting position of the shaft and the fractured-vuggy model simulation unit. The output end of the three-phase separator is respectively connected with the simulation oil groove and the water injection tank, and the input end of the three-phase separator is connected with the shaft. The fully-three-dimensional simulated visualized displacement simulation experiment system of the fractured-vuggy oil reservoir is simple and reasonable in structural design and capable of timely, intuitively and accurately monitoring a flow field and pressure change in a stratum.

The invention discloses a method for extracting parameters of tree branches based on ground laser radar three-dimensional scanning and belongs to the technical field of point cloud data processing of the ground laser radar three-dimensional scanning and the technical field of visualization model simulation of tree forms. The method comprises the following steps: utilizing a ground three-dimensional scanner as a data acquisition platform, scanning and obtaining point cloud data of the tree branches, and dividing the point cloud data of the tree branches into different parts; stratifying the point cloud data in the height direction of the tree, extracting point cloud isolines of different heights of the tree by means of a convex hull algorithm, and constructing tree branch triangular mesh between adjacent isolines by means of a triangulation network growth algorithm; combining a triangulation network of different parts of a tree, and constructing an overall triangulation network model of the tree branches. The parameters of the tree branches are extracted by means of ray collision detection technology, the error between the parameters and the actual measured value is kept to be within 5%, requirements of forest measurement can be met, and the efficiency of forest measurement can be greatly improved.

A method and system for estimating physiological heart measurements from medical images and clinical data disclosed. A patient-specific anatomical model of the heart is generated from medical image data of the patient. A patient-specific multi-physics computational heart model is generated based on the patient-specific anatomical model by personalizing parameters of a cardiac electrophysiology model, a cardiac biomechanics model, and a cardiac hemodynamics model based on medical image data and clinical measurements of the patient. Cardiac function of the patient is simulated using the patient-specific multi-physics computational heart model. The parameters can be personalized by inverse problem algorithms based on forward model simulations or the parameters can be personalized using a machine-learning based statistical model.

Source-receiver compression is used to help design surveys and mitigate the computational costs of data set inversion. The source-receiver compression is based on data redundancy and sensitivity. More particularly, a compressed source array is produced for minimum redundancy and maximum sensitivity to reservoir model parameters. The synthesized transmitter array has a reduced number of sources, thereby reducing the number of forward model simulations needed to carry out the inversion. Furthermore, the data collected at the receivers employed in the survey can be compressed. This has the implication of reducing the computational cost of constructing the Jacobian matrix and inverting the corresponding Hessian matrix.

Modelling a computer based business process having a number of functional steps, involves providing software candidate models (740) of the business process, each specifying the functional steps (750), an arrangement of software application components (770) for carrying out the functional steps, and a design of computing infrastructure (780), for running the software application components, to meet given non functional requirements, and suitable for automated deployment. For each of the candidate models, operation of the business process is simulated (730) according to the respective candidate model and their simulated operation is evaluated against the non-functional requirements. The simulation can help the search for a suitable or optimum deployment to be more efficient and can lead to more efficient usage of shared resources.

The invention belongs to the field of agricultural remote sensing, and relates to a crop yield estimation method based on scale transformation and data assimilation and application of the crop yield estimation method to the guiding of crop production. The method comprises the following concrete steps that: 1, parameters are collected for completing spatialization of a WOFOST crop model; 2, a crop type distribution map and a purity percentage map of the crops to be tested are obtained; 3, TMLAI in a range of 30m is obtained; 4, a secondary scale conversion model is built, and a time sequence scale regulating LAI is generated; 5, the crop model error and the remote sensing observation error in a key phonological period of the crops to be tested are obtained; 6, a four-dimensional variation cost function is built, and an optimized crop model parameter is obtained; and 7, the per unit yield of the crops to be tested in a county region is output. The method provided by the invention has the advantages that the problem of scale mismatching between a remote sensing observation picture element and a crop model simulation unit is solved; the precision of a data assimilation model is improved; and the method is suitable for the crop yield estimation in the county region scale, and is particularly suitable for the winter wheat yield estimation in the county region scale.

The invention discloses a hardware-in-loop test bed of a hybrid car brake coordination control system, which comprises a driver operation test system (1), a hydraulic brake test system (48), a data processing module (46) a model simulation test system and a motor brake test system (19), wherein, a hydraulic control valve (58) in the hydraulic brake test system (48) is a test object and can be replaced by other hydraulic valves to be tested for testing hydraulic work characteristic. A permanent magnet synchronous motor (34) in the motor brake test system (19) is the test object and can be replaced by other motors to be tested for testing energy recycling characteristic. A brake operation mechanism in the driver operation test system (1) is the test object and can be replaced by other operation mechanisms to be tested for testing the relation of master cylinder pressure, footplate stroke and footplate force. The hardware-in-loop test bed of the hybrid car brake coordination control system can carry out the integral performance test of the hybrid car brake control system which comprises hardware and control strategy.