Abstract: The present application provides an optimized regulating and controlling method and system for an integrated electricity and heat system with heat pumps, relating to the technical field of energy operation. According to the present application, regulating and controlling can be performed by regarding units as different agents and taking maximization of the self-interest of each agent as the objective, so that the load demands of heat and power consumers can be met, and each unit agent can be satisfied with its payoff to the greatest extent. The method includes: S1. establishing a composition and structure framework of the integrated electricity and heat system with heat pumps, and establishing an output model of each unit; S2. establishing a payoff function model of each unit in the integrated electricity and heat system with heat pumps; S3. establishing a non-cooperative game model of the integrated electricity and heat system with heat pumps; and S4.

Abstract: A Geosynthetic Liner Seam Modeling and Reporting System configured to capture Global Positioning System (GPS) points shot on geomembrane liner seams and to automatically create a three-dimensional (3D) as-built software model based on those GPS points. Each GPS point(s) need only be captured along the liner seam where a change(s) in direction from a straight line is detected on the seam. The system provides for tagging of each GPS point with identifiers for adjacent panels to each specific point. The system also supports sizing of the seamed panels of the as-built geomembrane structure based on the captured GPS points, results of which are formatted as installation metrics for inclusion in industry standard reports and/or custom reports (e.g., for quality assurance and/or contract adherence purposes).

Abstract: A method for quickly optimizing key mining parameters of an outburst coal seam as provided includes steps of constructing a graphic basic information model of the coal mine, giving coal mine characteristic information, performing mining simulation, constructing a CNN-LSTM predicating model, obtaining changes under different mining conditions, constructing a Lorenz chaotic primer, and the like. The model can be improved with continuous breakthroughs in theory, so that the model has a strong learning ability and can adapt to the constantly changing complex geological environment. The method has very good predictability for the determination of coal seam group parameters, and can efficiently select and output a set of candidate parameters.

Abstract: A system, method and software product emulate and profile an application playing on a mobile device. The mobile device is emulated using a model based upon characteristics related to performance of the mobile device. The application is played and monitored within the model to determine resource utilization of the application for the mobile device.

Abstract: A safety control device intended to process a control signal and generate a safety control order. The device has: a control input, a protection circuit, a coupler having an emitter circuit designed to emit a second signal and a receiver circuit for providing a third signal, a switch, a pulse generator designed to cyclically control opening and closure of the switch, and a processing circuit designed to execute a method for safely processing the third signal. Also disclosed are a contactor having such a control device and a method for safely processing a control signal.

Abstract: Aspects of the disclosure provide a method for wafer result prediction. The method includes determining predictor parameters of a semiconductor process using domain knowledge that includes knowledge of the semiconductor process, a processing tool associated with the semiconductor process, a metrology tool, and/or the wafer. The method also includes removing collinearity among the predictor parameters to obtain key predictor parameters, and selecting a subset of the key predictor parameters based on metrology data of the wafer obtained from the metrology tool. The method further includes building a virtual metrology (VM) model on the subset of the key predictor parameters and may include predicting wafer results using the VM model.

Abstract: Examples described herein provide a computer-implemented method for deriving textural properties of a reservoir formation. The method includes acquiring multi-frequency dielectric data (?meas). The method further includes applying a dielectric mixing model between different fluid phases to generate an effective fluid permittivity (?fluid) by mixing the permittivity of water and hydrocarbon fluids. The method further includes applying the dielectric mixing model between the effective fluid permittivity (?fluid) and a matrix permittivity (?m). The method further includes minimizing a difference between a measured dielectric response and the dielectric mixing model by optimizing model parameters. The method further includes computing a cementation exponent (m) and a saturation exponent (n) from the multi-frequency dielectric data (?meas). The method further includes estimating a formation property based at least in part on the cementation exponent (m) and the saturation exponent (n).

Abstract: Systems, methods and apparatus are included that are configured to model microvascular obstruction (MVO) in patients. According to one aspect of the present disclosure, a multi-scale model is configured to mimic myocardial microcirculation of coronary vessels. The model includes collaterals configured to provide alternative pathways possibly bypassing the MVO, and configured to model coronary artery compliance for spatially resolved fluid transport through the coronary vessels. The model is configured to simulate the MVO by increasing flow resistance in at least one of the modelled coronary vessels, or by blocking the at least one of the modelled coronary vessels completely. The model is also configured to mimic behavior of fluid transport in the coronary vessels during diagnostics or treatment, to design and optimize therapy protocols for the MVO.

Abstract: Methods, devices, and systems for information communication. Information transmitted from a host to a graphics processing unit (GPU) is received by information analysis circuitry of a field-programmable gate array (FPGA). A pattern in the information is determined by the information analysis circuitry. A predicted information pattern is determined, by the information analysis circuitry, based on the information. An indication of the predicted information pattern is transmitted to the host. Responsive to a signal from the host based on the predicted information pattern, the FPGA is reprogrammed to implement decompression circuitry based on the predicted information pattern. In some implementations, the information includes a plurality of packets. In some implementations, the predicted information pattern includes a pattern in a plurality of packets. In some implementations, the predicted information pattern includes a zero data pattern.

Abstract: A method of modeling and designing a helical spring, the helical spring including a top end turn (1), a top transition turn (2), an active turn (3), a bottom transition turn (4), and a bottom end turn (5) from top to bottom, the method including: utilizing first interpolation to determine the radius (R3) of the active turn (3), wherein the active turn (3) is as a function of the longitudinal overall length (L) of the helical spring; and utilizing second interpolation to determine the radius (R2) and the z-coordinate position (Z2) of the top transition turn (2) and the radius (R2) and the z-coordinate position (Z2) of the bottom transition turn (4), wherein each of the z-coordinate position (Z3(?, L)) of the active turn (3), the radius (R2) and the z-coordinate position (Z2) of the top transition turn (2) and the radius (R2), and the z-coordinate position (Z2) of the bottom transition turn (4) is as a function of the longitudinal overall length (L) and the twist angle (?) of the helical spring.

Abstract: A method and system for detecting an amount of shale oil based on an occurrence state, wherein an occurrence-state-based shale oil quantification model is established in accordance with a kerogen swelled amount, an amount of kerogen absorbed oil, an amount of free oil in an organic pore, an amount of adsorbed oil by an inorganic mineral and an amount of free oil in an inorganic pore, and detects an amount of shale oil is detected in accordance with the occurrence-state-based shale oil quantification model, such that the accuracy of the evaluation of shale oil mobility is improved.

Abstract: Disclosed are a multi-line source ground-borehole transient electromagnetic detection method and a multi-line source ground-borehole transient electromagnetic detection device. The method includes following steps: S1, constructing a multi-line source ground-borehole transient electromagnetic forward model; S2, obtaining multi-line source ground-borehole transient electromagnetic responses of an underground target layer by the multi-line source ground-borehole transient electromagnetic forward model; and S3, recognizing the underground target layer according to electromagnetic diffusion characteristics of the multi-line source ground-borehole transient electromagnetic responses. A resolution and a detection capability of the underground target by a ground-borehole transient electromagnetic method is greatly improved by adopting technical schemes.

Abstract: A computer-implemented method for vehicle impact analysis including obtaining a B-Rep representing an outer surface of a vehicle, the B-Rep having faces and obtaining a radius value for a contact sphere. The method also includes determining one or more two-point-contact curves of the B-Rep for the radius value. The determining includes, for each respective two-point-contact curve, solving a respective differential equation based on the B-Rep. The method forms an improved solution for vehicle impact analysis.

Abstract: A method of waterflood management for reservoir(s) having production hydrocarbon-containing well(s) including injector well(s). A reservoir model has model parameters in a mathematical relationship relating a water injection rate to a total production rate of the production well including at least one of a hydrocarbon production rate and water production rate. A solver implements automatic differentiation utilizing training data regarding the reservoir including operational data that includes recent sensor and/or historical data for the water injection rate and the hydrocarbon production rate, and constraints for the model parameters. The solver solves the reservoir model to identify values or value distributions for the model parameters to provide a trained reservoir model. The trained reservoir model uses water injection schedule(s) for the injector well to generate predictions for the total production rate.

Abstract: Disclosed are computer implemented techniques for correcting for numerically generated pressure waves at an inlet of a simulation space. The techniques include receiving a model of a simulation space and applying an inlet pressure to an inlet of the simulation space. The applied inlet pressure generates fluctuating velocities that produce undesired, numerically-generated pressure waves. The numerically generated pressure waves are measured to establish a measured pressure history. The measured pressure history is subtracted from the applied inlet boundary pressure history to provide a set of boundary conditions. The process conducts a fluid simulation using the set of boundary conditions.

Abstract: An example method comprises receiving an initial topology of an electrical, receiving a selection of a region of interest, determining one or more external equivalents of the electrical network that are external to the region of interest, determining one or more internal equivalents of the region of interest, calculating a sensitivity matrix based on electrical impedances of at least one of the one or more internal equivalents and based on an amount of power exchanged when in operation, determining a subset of the sensitivity matrix as indicating highly sensitive buses, receiving historical data regarding power flows, predicting power flow for each highly sensitive buses, comparing the predicted power flow to at least one predetermined threshold to determine possible network congestion, and generating a report regarding network congestion and locations of possible network congestion in the region of interest based on the comparison.

Abstract: One or more computing devices, systems, and/or methods for a model training framework are provided. A definition and configuration of a model are received. Computations that the model will perform during training of the model are setup based upon the definition and configuration. Summary statistics to be tracked during training are specified. A batch of training data is input into the model to train the model based upon hyper parameters specified in the configuration of the model, and the summary statistics are tacked during the training. The parameters of the model are updated based upon a function corresponding to accuracy of the model processing the training data. The summary statistics are outputted.

Abstract: Methods and systems for designing a photonic computational architecture including a plurality of optical components. At least some of the methods include: defining a loss function within a simulation space composed of a plurality of voxels, the simulation space encompassing the plurality of optical components; defining an initial structure for the photonic computational architecture in the simulation space, at least some of the voxels corresponding to each of the plurality of optical components and having a dimension smaller than an operative wavelength of the computational architecture; determining values for at least one structural parameter and/or at least one functional parameter for each of the plurality of optical components using a numerical solver to solve Maxwell's equations; and defining a final structure of the photonic computational architecture based on the values for the one or more structural and/or functional parameters.

Abstract: An industrial CAD system is supplemented with features that allow a developer to easily convert a mechanical CAD model of an automation system to a dynamic digital twin capable of simulation within a simulation platform. The features allow the user to label selected elements of a mechanical CAD drawing with “aspects” within the CAD environment. These aspect markups label the selected mechanical elements as being specific types of industrial assets or control elements. Based on these markups, the CAD platform associates mechatronic metadata with the selected elements based on the type of aspect with which each element is labeled. This mechatronic metadata defines the behavior (e.g., movements, speeds, forces, etc.) of the selected element within the context of a virtual simulation, transforming the mechanical CAD model into a dynamic digital twin that can be exported to a simulation and testing platform.

Abstract: One or more methods of designing microchannel fluid flow networks in a fuel cell bipolar plate includes executing one or more programs on one or more computing devices having one or more processors to optimize the spatially varying orientations of homogenized anisotropic porous media by iteratively executing a gradient-based algorithm that incorporates objective functions of reaction uniformity and flow resistance, and then generate, in response to the homogenized anisotropic porous media optimization, one or more microchannel fluid flow networks by dehomogenizing the optimized anisotropic porous media.