Abstract: Methods implementable in a computer system for simulating the transmission of signals across a plurality of data channels (bus) are disclosed. The disclosed techniques simulate the effects of Intersymbol Interference (ISI), cross talk, and Simultaneous Switching Output (SSO) noise by generating Probability Distribution Functions (PDFs) for each. The resulting PDFs are convolved to arrive at a total PDF indicative of the reception of data subject to each of these non-idealities. The total PDF, and its underlying terms, can be indexed to particular channels of the bus as well as to particular logic states. Use of the disclosed technique allows bit error rates and sensing margins to be determined with minimal computation and simulation.

Abstract: The present invention provides a press forming simulation method using a finite element method for a sheet metal, in which a deformation state of a pressing tool is represented with high accuracy by superimposing at least one natural mode, for the surface shape of the pressing tool, in a no-load state.

Abstract: Disclosed are system and methods for simulating signal integrity structures using stable processed modes (e.g., matched traveling-wave power modes), and/or for creating response surfaces from stable response parameters.

Abstract: A method of optimizing a Business Process Management (BPM) model, where the model is associated with a plurality of key performance indicators depending on a control parameter vector that includes a plurality of control parameters, may include separating the plurality of control parameters into a linear control parameter vector and a non-linear control parameter vector. A set of candidate values may be iteratively calculated for the control parameter vector. Each candidate value may be determined for a preselected value of a non-linear control parameter belonging to the non-linear control parameter vector from execution of a mixed integer program model associated with the BPM model, the key performance indicators and the preselected value of the non-linear control parameter vector. The method may further include adjusting the BPM model based on at least one of the candidate values.

Abstract: A method is provided for processing measured data to provide information on the structure of a region of the earth. The method comprises providing a flexural rigidity distribution of the region, providing a Young's modulus distribution of the region, and modifying the flexural rigidity distribution with the Young's modulus distribution to obtain an equivalent elastic thickness distribution of the region indicative of the structure thereof.

Abstract: The invention refers to a method for obtaining the system parameters of a transport system, particularly an elevator, in which method a) at least first and second input parameters of the transport system are determined, b) a power model fitting to the transport is provided, which power model comprises motor model components and hoistway model components, c) model parameters describing power flow in the transport system are fitted into the power model, d) the model parameters are optimized under use of at least one of the input parameters of the elevator, e) the optimized model parameters are post processed to obtain at least one of the system parameters of the transport system. The system provides missing system information about a transport system, particularly in cases in which an existing system is to be renovated with a new motor.

Abstract: NOx generation in a coal burning furnace is estimating using a chemical reactor network model. The model is constructed with ideal chemical reactor modules, an input matrix and a tunable parameter matrix defining split ratios and flow rates among the ideal chemical reactor modules. Values in the tunable parameter matrix are learned by first measuring actual furnace outputs of the coal burning furnace for a known set of actual furnace inputs, and then applying the chemical reactor network, including an initially populated tunable parameter matrix, to a populated input matrix representing the known set of actual furnace inputs. The actual furnace outputs are compared with the output matrix, and the tunable parameter matrix is adjusted based on the comparison.

Abstract: Method for reconstructing a local region (20) of a physical property model (10), such as a velocity model, by inversion (80) of geophysical data, such as seismic data, wherein the magnitude of the gradient of the model parameter is minimized (70) within the local region subject to enforcing the continuity of the model on the boundary (60) of the local region. The inversion is preferably implemented on 2D depth slices of the model, one depth slice at a time (50). To improve computer efficiency in extracting the depth slices, the three-dimensional model may first be remapped from its original orientation to one in which the depth dimension is the slowest accessed by the computer in reading the data (30).

Abstract: This conductive film has a randomized wiring pattern having randomized rhomboid shapes obtained by giving irregularity in a predetermined range to rhomboid shapes of a rhomboidal wiring pattern which, with respect to frequencies of moire and intensities of moire obtained by applying a visual response characteristic of human beings to frequency information of moire and intensity information of moire calculated from peak frequencies and peak intensities in both two-dimensional Fourier spectra of transmittance image data of the wiring pattern and transmittance image data of the pixel array pattern, causes a sum of intensities of moire each corresponding to each of frequencies of moire falling within a predetermined frequency range determined depending on the visual response characteristic to be less than or equal to a predetermined value. The conductive film allows suppression of moire and significant improvement in visibility.

Abstract: A method of multiphase flow upscaling of a fine scale geologic model. A local domain is defined from the fine scale geologic model. The local domain includes adjacent upstream and downstream coarse grid domains and a concatenated domain adjacent the upstream coarse grid domain. A coarse grid interface is defined between the upstream coarse grid domain and the downstream coarse grid domain. Boundary conditions are imposed on various faces of the components of the local domain. Fluid flow is simulated through the local domain for a plurality of time steps until the local domain is completely flooded. A fine scale solution of saturation and flow rate of individual fluid phases across the coarse grid interface is recorded at each time step. A pseudo-function is constructed by post-processing results of the simulation of fluid flow. The fine scale geologic model is upscaled to a coarse scale geologic model using the pseudo-function.

Abstract: Novel methods and systems for antenna design are disclosed. A quadruple-ridged flared horn antenna can be designed based on geometry and frequency requirements. Automated optimization allows the design of antennas with decade-bandwidth. Optimized quadruple-ridged flared horn antennas can be used for radio astronomy.

Abstract: When model expressions of objective functions are generated at vertexes of a quadrilateral on a plane concerning P and N channels of transistors in SRAM, the initial number of times of simulation is allocated to each objective function at each designated vertex according to weight values set based on relationships presumed among the objective functions at each designated vertex. For each objective function at each designated vertex, first simulation is executed the allocated number of times. Furthermore, a model expression is generated from the first simulation result, and an evaluation indicator of an approximation accuracy of the model expression is calculated. Then, for each model expression, it is determined whether the corresponding model expression has influence on the yield, and based on the evaluation indicator of the corresponding model expression and presence or absence of the influence, it is determined whether additional simulation is required for the corresponding objective function.

Abstract: A simulation instructing unit instructs a simulation unit, which generates signal characteristics, to generate the signal characteristics. A characteristic value extracting unit extracts, from the signal characteristics, characteristic values for distinguishing between a signal characteristic generated by setting a first simulation parameter and a signal characteristic generated by a second simulation parameter. A simulation parameter determining unit determines a first mapping relationship from the characteristic values to the simulation parameters with the characteristic values obtained by setting a plurality of set values in the simulation parameters and with the set values.

Abstract: A spectral simulation method during a noise testing for a magnetic head, includes steps of (a1) detecting several first noise profiles for several magnetic head samples under a first frequency bandwidth range by a dynamic testing machine; (b1) separating each first noise profile into at least two noise curves including a first noise curve and a second noise curve at a predetermined frequency bandwidth, wherein the first noise curve has a frequency bandwidth range lower than that of the second noise curve; (c1) fitting several mathematical equations according to the second noise curves; and (d1) establishing a correlative equation among the mathematical equations, so as to simulate the second noise curve for each magnetic head. The present invention can simulate a second noise curve of the noise profile in a higher frequency bandwidth and establishing the correlative equation according to the second noise curve.

Abstract: The present invention relates to methods for determining meniscal size and shape for use in designing therapies for the treatment of various joint diseases. The invention uses an image of a joint that is processed for analysis. Analysis can include, for example, generating a thickness map, a cartilage curve, or a point cloud. This information is used to determine the extent of the cartilage defect or damage and to design an appropriate therapy, including, for example, an implant. Adjustments to the designed therapy are made to account for the materials used.

Abstract: Methods, an apparatus, and a computer program product for determining whether or not a particle belongs to free surface particles, in a calculation process of a particle method in which a continuum subjected to calculation analysis is collectively modeled with a free surface by a plurality of particles. One of the methods includes the steps of: determining whether any other particle exists within a predetermined range with respect to the particle by referencing to identification information stored in a memory, where the other particle belongs to the free surface, and storing in the memory near free surface identification information which is set as near free surface if the other particle belonging to the free surface exists and set as sufficiently inside if the other free surface particle belonging to the free surface does not exist.

Abstract: Fluid-flow simulation over a computer-generated surface is generated using inviscid and viscous simulations. A fluid-flow mesh of fluid cells is obtained. At least one inviscid fluid property for the fluid cells is determined using an inviscid fluid simulation that does not simulate fluid viscous effects. A set of intersecting fluid cells that intersects the surface are identified. A surface mesh polygon of the surface mesh is identified for each intersecting fluid cell. At least one boundary-layer fluid property for each identified surface mesh polygon is determined using the at least one inviscid fluid property of the corresponding intersecting fluid cell and a boundary-layer simulation that simulates fluid viscous effects.

Abstract: A computing device may be used to create a model that includes a block. The block may represent a function corresponding to a simulation. Measurement points may be inserted into the model. The model may be used to create a simulation, and the measurement points may be used to measure operational characteristics corresponding to the block.

Abstract: A method for simulating an arc flash event on an electrical power system is disclosed. The virtual system model of the electrical system is modified to introduce a short circuiting feature. The standard to supply equations used in the arc flash event calculations is chosen. The arc flash event is simulated using the modified virtual system model in accordance with the chosen standard. The quantity of arc energy released by the arc flash event is calculated using results from the simulation. The report that forecasts an aspect of the arc flash event is communicated.

Abstract: Designing a drillstring in for use in a wellbore, such as a deviated or horizontal wellbore, particularly with application to extended reach wellbores. Method comprises determining the downhole weight-on-bit transmitted by a drillstring by determining a baseline tension profile and baseline torque profile in a drill string rotating off-bottom, and then using such profiles in conjunction with a selected surface weight-on-bit slack-off value to calculate a drillstring tension profile and rotating torque profile with the bit on bottom and having weight applied thereto. The method includes buckling limit checks and rig operational limit checks to determine if sufficient torque and DWOB can be transmitted through the drillstring, and to determine whether the drill string remains operable even though portions thereof may be in a buckled condition.

Abstract: There is provided a method for modeling a semiconductor manufacturing process. The method receives trace data, process variables data and metrology data, obtained during the semiconductor manufacturing process. The method creates, based on the received trace data, the received process variables data and the received metrology data, a performance model of the semiconductor manufacturing process. The created performance model captures nonlinearity characteristics of the semiconductor manufacturing process. The method predicts, based on the created performance model, future values of the received metrology data. The method also detects nonstationarity characteristics of the semiconductor manufacturing process by detecting a significant change in the semiconductor manufacturing process.

Abstract: Provided are a method, system, and computer-readable medium for determining whether a copy number variation exists in a sample genome. The method includes sequencing a sample genome to obtain a sequencing result formed by multiple reads; comparing the sequencing result with a reference genome sequence to determine the distribution of the reads on the reference genome sequence; determining, based on the distribution of the reads on the reference genome sequence, multiple breakpoints on the reference genome sequence, wherein the number of the reads on either side of each breakpoint are significantly different; determining, based on the plurality of breakpoints, a detection window on the reference genome; determining, based on the reads falling in the detection window, a parameter; and determining, based on the difference between the first parameter and a preset threshold, whether a copy number variation exists in the sample genome against the detection window.

Abstract: A method can include providing compressional and shear-wave slowness data for a homogeneous, anisotropic formation at deviated borehole angles greater than 40 degrees and less than 90 degrees as defined by a vertical transverse isotropy (VTI) symmetry axis; providing a relationship for normal and tangential compliances (e.g., BN and BT); and, based on the data and the relationship, outputting a model for calculating anisotropy parameter values (e.g., ?0, ?, ?) that characterize the homogeneous, anisotropic formation (e.g., along a borehole angle of 90 degrees). Various other apparatuses, systems, methods, etc., are also disclosed.

Abstract: Parametric Bayesian Updating method is described for attribute importance measures. AIM is a quantitative measure of the relative importance of multiple attributes used in a Bayesian Updating parametric multivariate modeling approach. The AIM is a function of the correlation coefficients between the attributes themselves and the attributes with collocated target variable. The importance calculation is straightforward, repeatable, and objective.

Abstract: A vehicle behavior estimation device includes: a storage unit configured to store a restriction condition at a point of a vehicle for which behavior is estimated; vehicle state data that includes position information and speed information of the vehicle; behavior parameters that include speed information and acceleration information of the vehicle; and physical restriction conditions that include an upper limit and a lower limit of the acceleration information; and a processor configured to obtain the vehicle state data by using the restriction condition at the point; calculate behavior parameters of a vehicle model that satisfy a physical restriction condition from the vehicle state data and the restriction condition at the point; update the vehicle state data of the vehicle model based on the behavior parameters; and repeat processing to calculate behavior parameters by using the updated vehicle state data and to update the vehicle state data.

Abstract: A computer-implemented method, computer system, and computer program for modeling spatial correlations among a set of devices. A method includes: assigning a set of physical coordinates to each device in the set of devices; representing one of a process parameter or an electric parameter for each device as a sum of at least two stochastic terms, wherein the at least two stochastic terms are chosen to satisfy the spatial correlations; simulating formation of the set of devices using the physical coordinates and the at least one of the process parameter or the electric parameter; and obtaining statistical properties of the set of devices from the simulation.

Abstract: Generating a heat transfer model for building energy may comprise developing a PDE model that describes heat transfer through building envelope of a building, and developing an ODE model that describes the heat transfer and thermal balance in a space inside the building. Stepwise parameter estimation integrates the PDE model and the ODE model in generating the heat transfer model.

Abstract: Generating a heat transfer model for building energy may comprise developing a PDE model that describes heat transfer through building envelope of a building, and developing an ODE model that describes the heat transfer and thermal balance in a space inside the building. Stepwise parameter estimation integrates the PDE model and the ODE model in generating the heat transfer model.

Abstract: A method of determining in situ composite material constituent properties is provided. In one example computer software is provided that automatically determines adjusted material properties or in situ properties of each constituent of a composite material. Methods shown ensure that a finite element model will consistently predict material behavior not just at one desired stress/strain state, but in all simulated states.

Abstract: A method for simulating a movement Track of a vehicle for a vehicle using a handheld device requires a first senor and a second sensor. The method detects three-axis acceleration variations of the vehicle using the first sensor when the vehicle is moving. When at least one of the detected three-axis acceleration variations is greater than a preset threshold, a movement speed of the vehicle is detected using a position system and three-axis angle variations are detected using the second sensor. The method further stores the detected movement speeds and detected three-axis angle variations as vehicle data into a storage device. When the vehicle stops moving, the method stops storing the detected movement speeds and detected three-axis angle variations when and simulate a movement Track according the vehicle data stored in the storage device.

Abstract: A method for operating a data processing system to simulate a physical system is disclosed. The physical system receives a time-varying input and generates a time-varying output. A model of the physical system is provided. The model depends on values of the time-varying input and an internal state in the physical system, the internal state is not directly measurable. The model includes a bi-quad component that models a resonance or anti-resonance of the physical system. For each of a plurality of time points, a current input value for the time-varying input is received. An internal state vector having a value of the internal state at a current time point as one component thereof is computed and computing an estimate of a system output at that time point, the system output being directly measurable. In one aspect of the invention, the internal state vector depends on a previous value of the internal state vector and the current input value.

Abstract: Methods of analyzing fluid flow in a formation include defining physical boundaries of a porous geological formation reservoir and parameters related to a process of injection of fluid over a period of time, and configuring a reservoir simulator that characterizes transport of the fluid as solute within the physical boundaries of the reservoir in accordance with the fluid injection process. The reservoir simulator utilizes at least one upscaled equation describing advective transport for the solute. Output of the simulator may be viewed. The parameters related to the injection process including one or more of an injection rate, a location of injection, and a time length of injection can be optimized.

Abstract: Methods and systems are provided for controlling operational parameters of a CO2 compression surface facility or pipeline in order to maintain a CO2 stream having impurities flowing in the pipeline in a liquid or supercritical phase. Sensors may be provided to sense whether the flow is single-phase or two-phase flow, and feedback provided to adjust the pressure and/or temperature at the pipeline inlet. The system is preferably optimized to limit power consumption and/or cost.

Abstract: A method for estimating a volume of a stimulated reservoir includes receiving a seismic signal having a magnitude from each detected microseismic event in a plurality of detected microseismic events in an earth formation to provide detected microseismic event information. The seismic signal is received by an array of seismic receivers. The method further includes estimating a number of undetected microseismic events and a magnitude for each of the undetected microseismic events to provide undetected microseismic event information where the number of undetected microseismic events and corresponding magnitudes are estimated using each of the detected microseismic events and corresponding magnitudes. The method further includes estimating the stimulated reservoir volume using the detected microseismic event information and the undetected microseismic event information.

Abstract: Included are embodiments for dynamically modeling a human internal pelvic environment for product interactions. Some embodiments include creating a computational simulation of biomechanical interactions between feminine product and a pelvic region for a predetermined body type and simulating dynamic contraction of pelvic floor muscles and movement of surrounding parts of the pelvic region as would be experienced in normal use of the feminine product. Similarly, some embodiments are configured to determine, from the simulation, positional changes and effectiveness of the feminine product, determine whether the feminine product is acceptable, and in response to determining that the feminine product is not acceptable, alter a feature of the feminine product. In some embodiments, in response to determining that the feminine product is acceptable, data related to the feminine product being acceptable may be output.

Abstract: A method enables multiuser and distributed “what you see is what you get” probabilistic simulation. A method projects a problem P into k sub-problem spaces with at least 1 dimension, and executes the sub-simulations for each sub-problem in parallel with user's model initialization and parameterization process. A method utilizes “Simulate As You Operate” (SAYO) and “Batch Generation Batch Computation” (BGBC) techniques to perform data retrieval, random number generation and simulation in parallel with the user's model initialization and parameterization process. An apparatus only repeats the simulation process on the affected part of the model and holds the model inputs/outputs of unaffected part of the model fixed. A communication protocol allows users at different sites or different organizations to perform real-time simulations on the same model. An apparatus enables a process of sharing and benchmarking the model-associated statistics by aggregating and publishing the submitted information by users.

Abstract: A predictive model for building energy consumption may be constructed and run to predict energy consumption in a building or to detect anomaly in energy consumption in a building or combinations thereof. Historic energy consumption data associated with energy consumed in a building may be received. Enthalpy of air outside the building may be determined. An energy consumption model may be calibrated based on the historic energy consumption data and the enthalpy of air outside the building. The energy consumption model incorporates enthalpy difference between a balance enthalpy and the enthalpy of air outside the building.

Abstract: Systems, apparatuses, and methods are provided for three-dimensional modeling of building roofs using three-dimensional point cloud data. Point cloud data of a roof of a building is received, and roof data points are selected or extracted from the point cloud data. Semantic type classifications are calculated for each selected roof data point. Roof styles are determined from the semantic type classifications, and a synthetic model of the roof and building is rendered based on the determined roof style.

Abstract: A predictive model for building energy consumption may be constructed and run to predict energy consumption in a building or to detect anomaly in energy consumption in a building or combinations thereof. Historic energy consumption data associated with energy consumed in a building may be received. Enthalpy of air outside the building may be determined. An energy consumption model may be calibrated based on the historic energy consumption data and the enthalpy of air outside the building. The energy consumption model incorporates enthalpy difference between a balance enthalpy and the enthalpy of air outside the building.

Abstract: A driving model generation device is provided that enables driving evaluation according to a traveling situation of a vehicle. A vehicle is provided with a vehicle state detector, which detects a vehicle state quantity that changes according to a driving operation by a driver. A model generator generates a driving model, which is a reference related to a specific driving operation, based on the vehicle state quantity at the time the driver starts the specific driving operation and the vehicle state quantity at the time the specific driving operation is finished. A driving evaluator evaluates the driving skill of the driver by comparing the driving operation of the driver presented by a detection result of the vehicle state detector to the driving model generated by the model generator.

Abstract: A method is disclosed to simulate operation of a grid structure. The method includes specifying a type of simulation to be performed and at least one initial condition with a user interface of a device such as a mobile device, where the grid structure comprises at least one of a power generation grid and a power distribution grid. The method further includes transmitting the specified type of simulation and the at least one initial condition from the user device to a computing platform; receiving from the computing platform a result of the simulation at the user device; and visualizing the result of the simulation with the user interface. The type of simulation can be an N-k contingency analysis simulation, where k is equal to zero, 1 or greater than 1.

Abstract: A method fits primitive shapes to a set of three-dimensional (3D) points by first converting the set of 3D points to a distance field. Each element in the distance field is associated with a distance to a nearest point in the set of 3D points. A set of two or more candidates are hypothesizing from the primitive shapes, and a score is determined for each candidate using the distance field. Then, the primitive shape to fit to the 3D points is selected from the candidates according to their scores.

Abstract: The present invention relates to a method and corresponding system for modeling a musculo-skeletal system. An embodiment of the method of the invention begins by scaling and positioning a musculo-skeletal model to correspond with motion capture data of a subject. Next, kinematically consistent motion data is generated from the motion capture data and then an inverse dynamic analysis of the musculo-skeletal model is performed using the generated kinematically consistent motion data, such that at least one analysis result is generated. The musculo-skeletal model is then updated to correspond with the at least one analysis result of the inverse dynamic analysis. Finally, the muscle activation of the updated musculo-skeletal model is optimized by determining at least one muscle force using the updated musculo-skeletal model, and by further updating the updated musculo-skeletal model to correspond with the determined at least one muscle force.

Abstract: Method for using seismic data from earthquakes to address the low frequency lacuna problem in traditional hydrocarbon exploration methods. Seismometers with frequency response down to about 1 Hz are placed over a target subsurface region in an array with spacing suitable for hydrocarbon exploration (21). Data are collected over a long (weeks or months) time period (22). Segments of the data (44) are identified with known events from earthquake catalogs (43). Those data segments are analyzed using techniques such as traveltime delay measurements (307) or receiver function calculations (46) and then are combined with one or more other types of geophysical data acquired from the target region, using joint inversion (308-310) in some embodiments of the method, to infer physical features of the subsurface indicative of hydrocarbon potential or lack thereof (26).

Abstract: An ion injection simulation method includes: calculating a reinjection dose injected into a substrate and a structure formed on the substrate and reinjected from a side face of the structure; and calculating concentration distribution of impurities injected into the substrate from a distribution function and reinjection conditions of the reinjection dose.

Abstract: The present disclosure describes tools and associated computational analysis methodologies employed therein for improved minimum weight design of thin wall profile members (TPMs). The tools draw on inter-dependent parameters relating to TPM cross-section dimensions ratio values and established constructive restrictions to calculate, using appropriate algorithmic computational analysis, the optimum cross-section dimensions values of a given TPM. A design selection serves as a blueprint for the next stage, which is the actual fabrication or manufacturing of the component. For a given set of constructive restrictions, the final product is based on optimum configurations selected from a fixed set of TPMs with varied cross-sectional shapes.

Abstract: A method including digitally modelling a temperature measured by a sensor by using a modeled signal and estimating a lag error signal for the sensor from the modeled signal and a signal obtained by filtering the modeled signal, the filter having as a parameter an estimate of a time constant of the sensor, and correcting the measurement signal delivered by the sensor by the estimated lag error signal. The time constant of the sensor is estimated as a function of time from the measurement signal and the modeled signal.

Abstract: An improved technique involves generating a predictive model for data storage system configuration management. A customer support center generates such a predictive model from detailed customer configuration and transaction history. For example, a population of customers submits transaction logs to the customer support center; such transaction logs provide details as to how the customers responded to various events. The population of customers may also submit data including various statistics such as load intensity, workload characteristics, data access patterns, data change patterns, and data fingerprints to the customer support center. The customer support center then performs an analysis on the data and, from the analysis, computes values of model parameters that define a predictive model. This predictive model is configured to take in a particular state of any data storage system and produce a configuration that optimizes performance of that data storage system.

Abstract: Physical systems modeled by matrix equations may simultaneously be simulated for multiple excitations using, for example, an adaptive Krylov iterative recycling method.

Abstract: A computerized method for simulating dispersion of fillers in a high polymer material comprises: a simulation step in which filler models and polymer models are disposed in a predetermined virtual space and a molecular dynamics calculation is made thereon; and an outputting step in which the dispersion state of the filler models is output based on results of the simulation step, wherein the filler model represents a plurality of filler particles one of which is defined as a most influential particle for which a largest cutoff distance is defined, and the outputting step includes a rendering step in which, as regards the filler models in the virtual space, only the most influential particles are rendered.