Abstract: A computer-implemented method for designing a 3D modeled object representing a transmission mechanism with a target 3D motion behavior. The method including obtaining a 3D finite element mesh and data associated to the mesh, performing a topology optimization based on the mesh and on the associated data, therefore obtaining a density field representing distribution of material quantity of the 3D modeled object. The method further includes computing a signed field based on the density field and the associated data, identifying one or more patterns of convergence and divergence in the signed field, each pattern forming a region of the signed field, and for each identified pattern, identifying a joint representative of the identified pattern and replacing a part of the density field corresponding to the respective region formed by the identified pattern by a material distribution representing the identified joint.

Abstract: Techniques for verifying operation of testing mechanisms are discussed herein. For example, a computing device can implement a testing component to test performance of a vehicle controller configured to control operation of a vehicle. The testing component can apply one or more heuristics and/or machine learned models to initiate, perform, and analyze tests that measure whether an instruction update improves performance of the vehicle controller and/or whether the instruction update causes performance of another component to degrade. The testing component can be used to validate the instruction update in a testing environment prior to transmitting the instruction update to a vehicle controller coupled to a vehicle in a real-world environment.

Abstract: An apparatus and method for directed graph modification and simulation based on external data are disclosed. The apparatus includes at least a processor, and a memory communicatively connected to the at least a processor, wherein the memory contains instructions configuring the at least a processor to receive external data from one or more external data sources, retrieve a directed graph including at least two internal nodes and at least one internal directed edge, wherein each internal node represents internal data and the at least one internal directed edge represents a relationship between the at least two internal nodes, generate a data extrapolation of the external data as a function of at least a part of the at least two internal nodes and the at least one internal directed edge, and modify the directed graph as a function of the data extrapolation.

Abstract: A people flow estimation system uses input of movement model data to create movement demand data and estimate the flow of people inside a building using architectural model data. The people flow estimation system is characterized by identifying the names or uses of rooms in the building and the density of in-building personnel; recording occurrence distribution of movement demand inside the building with respect to a reference time; converting the architectural model data into layout data; calculating the number of in-building personnel in a room; and calculating movement demand data from the number of in-building personnel and the data from the recorded movement demand distribution.

Abstract: A vascular implant decision support uses a medical imaging system. A physics-based model of the endovascular implant is used to simulate deployment in a vessel model of a patient based on medical imaging. A porosity of the deployed implant and the simulation are used to determine a value for each of one or more hemodynamic parameters to support the decision for endovascular treatment. A machine-learned network uses patient-specific information to select the endovascular implant, placement, and/or other implant configuration used to simulate deployment and/or to predict outcome from deployment for the patient. The clinician may use the decision support to select among options for implanting and/or to confirm adequacy of a plan. Various of these approaches may be used alone or in combination.

Abstract: A computer-implemented method includes extending simulation results and input data of a DC production cost model (PCM) of a power grid to an initial AC power flow model (PFM) using a generation distribution mapping and load distribution mapping of a related PFM base example associated with the PCM, and automatically producing a chronological series of converged AC PFM solutions associated with a PCM time series by, for each time step of the PCM time series: (i) updating inputs of an AC PFM using (a) PCM results of the current time step and (b) solution outputs of a converged AC PFM obtained from a previous PCM time step, and (ii) iteratively, reducing nodal loads by a gradual amount configured to account for power grid power flow losses unaccounted for by the PCM and performing AC PFM numerical analyses, until: (a) an AC PFM convergence is obtained and (b) a real power generation slack bus is less than or equal to a predefined tolerance in relation to a slack bus of the PCM results of the current time step.

Abstract: A synthetic world interface may be used to model digital environments, sensors, and motions for the evaluation, development, and improvement of computer vision and speech algorithms. A synthetic data cloud service with a library of sensor primitives, motion generators, and environments with procedural and game-like capabilities, facilitates engineering design for a manufactural solution that has computer vision and speech capabilities. In some embodiments, a sensor platform simulator operates with a motion orchestrator, an environment orchestrator, an experiment generator, and an experiment runner to test various candidate hardware configurations and computer vision and speech algorithms in a virtual environment, advantageously speeding development and reducing cost. Thus, examples disclosed herein may relate to virtual reality (VR) or mixed reality (MR) implementations.

Abstract: A method for modelling the formation of a sedimentary basin using a stratigraphic forward modelling program is disclosed, wherein the stratigraphic forward modelling program simulates the superposition of successive layers of sediments, each layer of sediments corresponding to a determined period of time, the method comprising: a. Receiving a facies log comprising a succession of layers of different facies, b. determining environmental conditions associated to at least some of the facies of the facies log to infer an environmental factor log, c. determining from the facies log a number of layer of sediments and a thickness of each layer of sediments to be simulated by the stratigraphic forward modelling program for modelling the facies log, and d.

Abstract: Hydrocarbon reservoir development that includes determining, based on fracture data, a two-dimensional (2D) fracture model including fracture lines representing locations of fractures in the reservoir, determining, based on the lines, a fracture density index (FDI) map including FDI values for cells representing the reservoir, including, for each cell, determining a FDI value based on proximity to the fracture lines, determining a circulation loss (CL) map including CL values for the cells, including, for each cell, determining a CL value based on proximity of the cell to locations of circulation loss events in the hydrocarbon reservoir, determining, based on the FDI map and the CL map, a correlation of FDI to CL for the reservoir, and drilling a hydrocarbon well based on the correlation.

Abstract: Design method for hydraulic fracturing of a reservoir is presented that maximize well production rates and minimize proppant flowback. The method comprises employing computer simulators that analyze a fracturing treatment design in the context of well properties, reservoir properties, fluids and proppants, and calculates a critical filtration velocity for a proppant pack. If the fluid flow velocity in the fracture exceeds the critical filtration velocity, there is a risk for proppant flowback. The method is applicable to wells that have not yet been fractured, as well as those that have previously undergone a fracturing treatment.

Abstract: Methods and systems are disclosed for automatically determining solar access values, including a method including calculating a ray between a sun position and a structure vertex at a plurality of time periods; comparing a path of the ray to location of points in object point cloud data representative of the size, shape, and location of one or more objects to determine that the object(s) blocks the ray from reaching the vertex, resulting in a shadow over the vertex for at least one of the time periods; determining effects of the shadow over the vertex on the maximum possible irradiance values based on a determined distance and whether the vertex is within an umbra, penumbra, or antumbra of the shadow at at least one of the time periods; and determining irradiance in Watts per time period over the plurality of time periods in which the shadow is over the vertex.

Abstract: Methods, systems, and apparatus, including medium-encoded computer program products, for a machine learning approach for piecewise linear interface construction include: obtaining a cell fraction for a mesh cell in a mesh, a normal vector perpendicular to a linear interface for the mesh cell, and geometry information of the mesh cell, wherein the geometry information includes at least two data values; normalizing the geometry information of the mesh cell to reduce the at least two data values to at least one data value; obtaining an output value from a machine learning algorithm, previously trained using normalized geometry information of multiple different cells of a same mesh type as the mesh cell; determining the linear interface for the mesh cell based on the output value, the normal vector and the geometry information; using the linear interface for the mesh cell in numerical simulation processing of the mesh.

Abstract: The problem that water breakthrough of a single well is too early due to uneven water invasion of an existing water-bearing carbonatite gas reservoir is solved. According to the technical scheme, on the basis of an original gas well production allocation scheme of a water-bearing carbonatite gas reservoir, the average water invasion rate of the reservoir is calculated as a stability reference of water invasion rates throughout the production period. A new water invasion-oriented production allocation method is designed from two aspects of stability of water invasion and uniformity of water invasion driving and meanwhile, a reasonable production allocation range is predicted through a traditional deliverability equation, a n d a water invasion-oriented dynamic production allocation mathematical model is established.

Abstract: Methods, computing systems, and computer-readable media for training and using a machine learning system to predict equipment pressure measurements, of which the method includes inputting a set of training data including a first set of equipment pressure measurements, inputting a set of supplemental data. The supplemental data is obtained from a physical model that estimates a second set of equipment pressure measurements. The method includes training the machine learning system based on the set of training data and the set of supplemental data to generate a trained machine learning system, receiving real-time operational data, inputting the real-time operational data into the trained machine learning system, predicting a real-time equipment pressure measurement based on the inputting the real-time operational data into the trained machine learning system, and executing a computer-based instruction based on the predicting the real-time equipment pressure measurement.

Abstract: Systems and methods for mapping a planar surface to a curved surface. One such method comprises providing a planar lattice pattern having identical regular polygon shapes which can be truss support modules for supporting a curved surface structure. Method further include determining respective positions of the nodal points of the identical polygon shapes by placing a starting nodal point on an axis of symmetry of the planar lattice pattern and iteratively positioning each nodal point in relation to already placed neighboring nodes to make a distance between a currently positioned nodal point optimally close with a set value of the planar lattice pattern. Method still further comprises forming a curved lattice pattern of the truss support module based on the positions of the nodal points of the identical polygon shapes.

Abstract: A method for detecting safety-relevant data streams which occur in a hardware system during the execution of at least one data processing task. In one example embodiment, the method includes the steps of: defining critical data via an interface, mapping of the hardware system onto a simulation model capable of running in a simulation environment; executing the at least one data processing task as a simulation with the simulation model in the simulation environment, monitoring the creation, transmission and deletion of the critical data and instances of the critical data in the simulation model during the execution of the at least one data processing task, and identifying and logging the security-relevant data streams.

Abstract: A scan model that is a mathematical model to simulate an imaging process performed by an x-ray imaging device that created a two-dimensional x-ray image of at least one tooth is generated. The scan model uses an initial estimate of one or more parameters of the x-ray imaging device. The one or more parameters include a scan angle parameter indicative of a scan angle of the x-ray imaging device. A two-dimensional contour of a three-dimensional model is adjusted to cause a first component of the two-dimensional contour to approximately align with a second component of the two-dimensional x-ray image. The scan model is calibrated based on data obtained from adjusting the two-dimensional contour.

Abstract: Predicting temperature of a fuel cell, with an actual opening degree of a thermostat in a thermal management system of a fuel cell and inlet coolant temperature at an inlet of a cell stack of the fuel cell as an input, by using a temperature prediction model, correcting the predicted temperature based on a current operating condition to obtain a corrected temperature of the fuel cell; calculating a prediction weight factor based on the current operating condition; and determining an adjustment opening degree of the thermostat, with a target temperature, the actual temperature, the corrected temperature and the prediction weight factor of the fuel cell as an input, by using a PID controller.

Abstract: A method of managing a well system includes: obtaining, by a digital twin manager and based on a predetermined monitoring criterion, dynamics behavior data of the well system, where the dynamics behavior data includes a plurality of measurements including an incomplete measurement that is missing data for a time interval and a complete measurement that includes data for the time interval; obtaining modeled dynamics behavior data for the well system using a physics-based model; training a physics constrained machine learning model using one or more machine learning algorithms based on the dynamics behavior data and the modeled dynamics behavior data as inputs; updating dynamics behavior data based on the physics-based model and the physics constrained machine learning model; outputting updated dynamics behavior data for the well system. The updated dynamics behavior data completes the missing data in the incomplete measurement for the time interval.

Abstract: A method of performing a computational process includes transforming, a first register of a quantum processor to a charge encoded state in which charges of interacting particles to be simulated are encoded, transforming a second register of the quantum processor to a position encoded state in which positions of the interacting particles are encoded, performing a first phase shift operation, including shifting a phase of the first and second registers by kinetic energies of the interacting particles, performing a second phase shift operation, including shifting the phase of the first and second registers by pair-wise Coulomb potential energies of the interacting particles, measuring the phase of the first and second registers, transmitting the measured phase of the first and second registers to a classical computer, and the measured phase including a sum of the kinetic energies and the pair-wise Coulomb potential energies of the interacting particles.