Abstract: A computer-implemented method and system for simulating traffic flow configurations. The method includes simulating vehicle traffic on a virtual roadway configuration in a simulated environment using a car-following model to provide simulated vehicle traffic at an intersection, wherein the car-following model includes vehicle parameters of at least one of a lead vehicle and a subsequent vehicle at each timestep, the lead vehicle positioned in front of the subsequent vehicle, and modifying the simulated vehicle traffic using a ghost vehicle approximation model to provide simulated traffic flow distributions while maintaining incident avoidance criteria, wherein the ghost vehicle approximation model includes setting a speed value and a gap distance value of a ghost vehicle positioned in front of the lead vehicle and/or the subsequent vehicle to modify the vehicle parameters of the lead vehicle and the subsequent vehicle at each timestep.

Abstract: Embodiments are generally directed to a hierarchical approach for performing simulation for PDNs that have integrated VRMs. According to certain aspects, embodiments include an approach that decouples the simulation for PDN and the simulation for VRM/PKG through PDN macromodeling. In these and other embodiments, the approach includes a SPICE-accurate simulation for the VRM part using a non-linear solver and using a linear solver for the PDN part, with minimal handshaking between them. For example, using a Backward Euler method having a fixed time step, at every simulation time interval, the linear solver sends reduced boundary currents to the non-linear solver. After the non-linear solver converges at the time interval, it sends boundary voltages back to the linear solver for determining voltages in the PDN part at the time interval.

Abstract: An event transition model for producing test data may be generated from a plurality of event records, each event record including an event time of an instance, wherein the event transition model includes a plurality of states, each state corresponding to one or more instances of the plurality of event records, event transition probabilities between states, and event transition interval times between states.

Abstract: An event transition model for producing test data may be generated from a plurality of event records, each event record including an event time of an instance, wherein the event transition model includes a plurality of states, each state corresponding to one or more instances of the plurality of event records, event transition probabilities between states, and event transition interval times between states.

Abstract: Embodiments relate to a system, program product, and method for use with an intelligent (AI) computer platform to explore real-world modeling. A sensory input data signal is communicated to the AI platform and translated into a corresponding scenario. The translation is directed at an associated force and application of the force to a selected or identified object and environment. A reaction to the application is created, and reaction data is converted to a sensory output signal. Receipt of the sensory output signal by a corresponding sensory output device creates a physical manifestation of generated feedback of the reaction data to a sensory medium. The embodiments are directed at both learning and assessment, and leverage a corpus with the AI platform in support of an interactive learning experience.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for the generation and use of a fast battery model. One of the methods includes obtaining temperature data for one or more locations within or on the surface of a battery, the temperature data comprising time-varying heat flow inputs applied to the battery and time-varying temperature signals generated by the battery. The method also includes processing the temperature data to generate a continuous-time thermal model having one or more time-delay elements and one or more parameters, wherein parameter values are fitted using the temperature data.

Abstract: A physics engine executed on a processor to simulate real-time rigid body dynamics of a simulated physical system with permissive penetration functionality is provided. The physics engine may be configured to iteratively loop through a collision detection phase, solving phase, updating phase, and display phase. When a penetration between a pair of bodies is due to an initial penetration from a prior collision detection phase, the physics engine may permit the initial penetration between the pair of objects during the current solving phase by not applying a bias or position change to correct for the initial penetration. Also the physics engine may be configured to detect geometry changes and modify the initial penetration distance accordingly.

Abstract: A method and system provide performance computing on a public grid. A computational mesh to solve a received engineering simulation (that has computations/processes) is computed. The mesh divides the CAD model up spatially into elements where conservation equations are formed. Mesh vertices identify nodes where field variables are defined. Each process owns a node/element and is assigned to a mesh partition. A solver application installed on each computer and each computer CPU spawns a thread to each CPU core. A matrix is assembled by each thread that computes numerical operators (that are stored as a coefficient matrix) that represent the conservation equations. The matrix is solved by solving the equations represented by the coefficient matrix. The solving yields field vectors that update the field variables at the nodes. The engineering solution is rendered based on the updated field variables.

Abstract: Systems and methods are disclosed for assessing organ and/or tissue transplantation by estimating blood flow through a virtual transplant model by receiving a patient-specific anatomical model of the intended transplant recipient; receiving a patient-specific anatomical model of the intended transplant donor, the model including the vasculature of the organ or tissue that is intended to be transplanted to the recipient; constructing a unified model of the connected system post transplantation, the connected system including the transplanted organ or tissue from the intended transplant donor and the vascular system of the intended transplant recipient; receiving one or more blood flow characteristics of the connected system; assessing the suitability for an actual organ or tissue transplantation using the received blood flow characteristics; and outputting the assessment into an electronic storage medium or display.

Abstract: A system and method for determining a stress level of a person is provided. The system creates a numerical solution to mathematical model of a blood pressure (BP) regulation, lumped mathematical model of a radial artery and partial differential equation (PDE) model of the radial artery. These models are then used to generate an inference engine using the mathematical model of blood pressure (BP) regulation, the lumped mathematical model of the radial artery and the PDE model of the radial artery. The inference engine is trained using an artificial neural network technique. At the same time the PPG signal of the person is sensed and preprocessed. The preprocessed PPG signal is then given to the trained inference engine. The trained inference engine generates a stress parameter corresponding to the person based on the processed PPG signal.

Abstract: Methods, systems, and techniques for detecting at least one of an influx event and a loss event during well drilling involve using one or both of errors between 1) estimated and measured pit volume, and 2) estimated and measured flow out, to identify or determine whether the influx or loss event is occurring, or to sound some other type of related alert. These determinations may be performed in a computationally efficient manner, such as by using one or both of a time and depth sensitive regression.

Abstract: Parameters are estimated for continuous time linear gray-box models using a fast sensitivity evaluation, which is a measure of how output of the model changes with changes in parameters. A two-step parameter estimation of non-linear models, such as a steady-state model and dynamical model, is performed. A parameter estimation algorithm is employed for estimation of non-linear model parameters via local approximation at different system operating levels or operating set-points. The parameter estimation task is improved by an efficient parameter estimation of linear, continuous-time, stochastic, gray-box models. It is further improved by using a two-step parameter estimation of non-linear, continuous-time, gray-box models. It is still further improved by employing the efficient parameter estimation algorithm for the non-linear gray-box models.

Abstract: A motion compensation method and apparatus applicable to laser point cloud data includes acquiring laser point cloud data of a frame; using an acquisition time of a start point as a target time; interpolating coordinate transformation relations and an end laser point, to obtain coordinate transformation relations of other laser points, and transforming coordinates of the other laser points to the coordinates at the target time. During motion compensation on each frame of laser point cloud data, the coordinate transformation relations corresponding to only the start and end laser points are obtained, and the coordinate transformation relations corresponding to the two points are interpolated to obtain transformation relations corresponding to other laser points, thus performing motion compensation. Therefore, the processing speed is improved and meets high real-time requirements on systems such as autopilot control systems.

Abstract: A method for modelling geomechanical effects in the subsurface by conditioning geomechanical model parameters to time-lapse observations. The model is driven by displacement boundary conditions derived from observed time-lapse travel time shift and time strain. The displacements at the boundaries of the model are extracted from time-lapse data, converted from travel time shift to depth shift and lateral shifts if necessary, and applied as displacement increments on the initial geomechanical model. Subsequently, increments of stresses and strains are calculated by the geomechanical simulator, and time-lapse related parameters in the interior of the model are compared with the time-lapse observations. This enables a comprehensive study of mismatch between simulations and observations that can be used to update material properties, faults, fractures and the rock strain-velocity change relationship (R factor).

Abstract: Systems and methods are disclosed for assessing organ and/or tissue transplantation by estimating blood flow through a virtual transplant model by receiving a patient-specific anatomical model of the intended transplant recipient; receiving a patient-specific anatomical model of the intended transplant donor, the model including the vasculature of the organ or tissue that is intended to be transplanted to the recipient; constructing a unified model of the connected system post transplantation, the connected system including the transplanted organ or tissue from the intended transplant donor and the vascular system of the intended transplant recipient; receiving one or more blood flow characteristics of the connected system; assessing the suitability for an actual organ or tissue transplantation using the received blood flow characteristics; and outputting the assessment into an electronic storage medium or display.

Abstract: A method for optimizing a well production forecast includes inputting into a computer: initial production rate measurements and probability distributions to estimate production forecast model parameters. The computer generates an initial forecast of fluid production rates and total produced fluid volumes using a selected production forecast model. After a selected time, the initial forecast is compared with actual production rate and total produced fluid volume measurements to generate an error measurement. Parameters of the selected production forecast model are adjusted to minimize the error measurement, thereby generating an adjusted production forecast model. The parameter adjustment and error measurement are repeated for a plurality of iterations to generate a plurality of production forecast models each having a determined likelihood of an error measurement. The plurality of production forecast models are displayed with respect to likelihood of error.

Abstract: Systems, computer readable media, and method concern determining operational parameters of an inventory of components to be included in a battery. The method further includes determining an initial working solution for a battery design layout for the battery. The method also includes determining, based on the initial working solution, one or more possible solutions for the battery design layout utilizing a local search algorithm. The local search algorithm iteratively generates the one or more possible solutions from the initial working solution by swapping components from one or more components assigned to locations in the battery design layout with at least one of other components assigned to locations in the battery design layout and other components remaining in the inventory. The swapping of components is limited by a tabu list.

Abstract: Numerical simulation method includes receiving a manufacturing process configuration specification for moving various types of arbitrarily-shaped objects from an egress area onto a lower surface with desired mass flow rate in a predefined time period; creating a FEA model representing the lower surface; creating respective bonded discrete element models (BDEMs) representing the various types of the objects, each BDEM containing discrete elements connected by connection bonds; generating a list of BDEMs each with randomly-chosen types and orientation, such that total mass of the list of BDEMs exceeds a target total mass; and obtaining numerically-simulated physical behaviors of the objects in a time-marching simulation. At each solution cycle of the simulation, placing respective objects into randomly-selected ‘open’ sub-regions by activating next relevant portion of the BDEMs based on the mass flow rate and time-step size; releasing activated BDEMs from the egress area onto the lower surface.

Abstract: The present invention is a computer apparatus for creating an environmental impact model. The apparatus includes emission objects representing single or compound emissions. These objects include emission properties and processing function for updating these properties, and a species impact model which represents the impact of an emission on a species. The model includes value pairs of a quantified species impact value linked to an emissions concentration value. A computer system includes the emission objects on a server, a data interface for receiving emission properties, and an instantiation processor for creating more objects. Extrapolation and update processors allow statistical extrapolation of value pairs and updating emission properties.